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1	Applied Technology in Physics	ABS-25
AI-Driven Digital Transformation Technology in Modular Fashion Design: Toward Adaptive and Sustainable Apparel Systems Rahayu Purnama, Widya Azzahra, Himawan Hadi Sutrisno, Yuan Xing, Rosita Mohd Tajuddin, Muhamad Aiman Afiq Mohd Noor a, b, c ) Universitas Negeri Jakarta Jl. Rawamangun Muka Raya No. 11, RT.11/RW.14, Rawamangun, Kec. Pulo Gadung, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta 13220 d) Xi^an University No. 28, Jalan Xianning Barat, Distrik Beilin, Xi^an, Provinsi Shaanxi, Tiongkok, 710049 e, f) Universiti Teknologi Mara Jalan Ilmu 1/1, 40450 Shah Alam, Selangor, Malaysia Abstract The integration of Artificial Intelligence (AI) within the digital transformation paradigm has significantly reshaped modular fashion design, enabling the development of adaptive and sustainable apparel systems. This study aims to design and evaluate a multifunctional patchwork denim jacket as a solution to fast fashion issues through a sustainable fashion approach, particularly the timeless concept. The products consist of five jacket designs with transformable functions, allowing them to be converted into a bag, vest, outerwear, and dress. This research employs a descriptive quantitative method with a one-shot case study design, in which the products are evaluated by five expert panelists based on product quality dimensions Kotler & Keller (2016), including features, performance quality, and conformance quality, as well as design principles Sumayarti (2013), namely proportion, harmony, and rhythm. The findings indicate that all products meet the criteria of product quality and design principles, with overall evaluations categorized as excellent. In terms of product quality, performance quality and conformance quality achieved the highest scores due to the durability of materials and the effectiveness of transformation features such as zippers. Meanwhile, in design principles, rhythm and harmony received the highest ratings, while proportion scored the lowest. The application of patchwork techniques successfully creates new aesthetic value while promoting sustainability through the utilization of denim waste. Furthermore, the incorporation of AI-driven approaches, such as digital design simulation and modular configuration optimization, supports more efficient design processes, reduces material waste, and enhances product adaptability. This study highlights that multifunctional fashion design combined with digital transformation technologies can serve as an innovative solution in the fashion industry, fostering sustainable practices while educating consumers toward environmentally responsible lifestyles. Future research is recommended to explore consumer-based evaluations, the integration of advanced AI systems for design optimization, and the use of alternative sustainable materials to further enhance the scalability, durability, ergonomics, and impact of modular fashion systems. Keywords: Artificial Intelligence (AI)- Digital Transformation- Modular Fashion Design- Sustainable Fashion- Adaptive Apparel Systems. Share Link | Plain Format | Corresponding Author (Rahayu Purnama)

2	Applied Technology in Physics	ABS-26
Design and Thermal-Structural Performance Evaluation of a Community Scale Waste Incinerator for Environmental Applications Using Numerical Simulation Aam Amaningsih Jumhur, Jalyiamsep Marbun, Nur Najmiyah Jaafar, Dwiki Dani Setiyobudi, Raihan Ramadhani, Muhammad Zaenuri Ilham Universitas Negeri Jakarta Abstract The increasing generation of municipal solid waste in urban and community areas has encouraged the development of decentralized waste treatment technologies. Small-scale incinerators offer potential advantages in reducing waste volume, but their implementation requires adequate thermal and structural performance evaluation to ensure safe and reliable operation. This study evaluates the thermal and structural performance of a community-scale waste incinerator using numerical simulation. A three-dimensional incinerator model consisting of a primary combustion chamber, chimney, supporting frame, and ash removal system was developed and analyzed using Autodesk Inventor. Thermal simulation was conducted to evaluate temperature distribution, while structural simulation was used to assess von Mises stress, deformation, and safety factor. The results show that the maximum temperature reached 1201 0C in the primary combustion chamber, while the chimney temperature was 205 0C and the outer surface temperature ranged from 80 to 110 0C. Structural analysis indicated that the maximum von Mises stress was 264.58 MPa, which remained below the material yield strength of 400 MPa, with a minimum safety factor of 1.51. The maximum deformation was only 0.00113 mm, indicating negligible geometric instability. Overall, the proposed incinerator design demonstrates acceptable thermal concentration, structural safety, and potential applicability for community-based environmental waste treatment. Keywords: waste incinerator- numerical simulation- thermal analysis- structural analysis- environmental application Share Link | Plain Format | Corresponding Author (Aam Amaningsih Jumhur)

3	Applied Technology in Physics	ABS-101
Analytical Study on Process Efficiency and Effectiveness of Plastic Waste Processing Based on Induction and Conventional Heaters on a Household and MSME Scale Eko Arif Syaefudin (a*), Ahmad Kholil (b), Dyah Arum Wulandari (a), Wardoyo (b) (a) Manufacturing Technology Engineering Department, Engineering Faculty, Universitas Negeri Jakarta, Indonesia (b) Mechanical Engineering Department, Engineering Faculty, Universitas Negeri Jakarta, Indonesial Abstract The problem of plastic waste is a growing environmental issue due to the high use of single-use plastics in households and small industries. One effective and efficient solution is plastic waste processing technology using a portable hot press machine based on induction heating and nickel-iron wire. Induction heating systems have higher thermal efficiency than conventional heating systems because heat is generated directly in the metal medium through an electromagnetic field, while conventional heaters, using nickel-iron wire, serve as resistive heating elements to maintain stable process temperatures. This study aims to analyze the characteristics of plastic waste processed using induction-based and conventional portable hot press machines and to analyze the electrical power requirements for households and MSMEs for reuse in the production of useful and valuable products. The research method used literature reviews from the latest national and international journals on hot press technology, induction heating, plastic waste recycling, analysis of process energy requirements, and analysis of the mechanical characteristics of the resulting products. The results show that the use of induction heating can increase energy efficiency and produce more even heat distribution compared to conventional heating. The characteristics of the pressed material show increased density, hardness, and structural homogeneity at an optimal temperature of 128-165 C for recycled plastic waste. Electrical power analysis shows that the machine power consumption is around 1.5-2.5 kW, making it suitable for use in electrical installations for medium-sized households and MSMEs. This technology is considered effective in supporting plastic waste reduction and the development of household products based on a circular economy Keywords: plastic waste, portable hot press, induction heater, nickel-plated wire, material characteristics, electrical power, MSMEs. Share Link | Plain Format | Corresponding Author (Eko Arif Syaefudin)

4	Applied Technology in Physics	ABS-108
Acoustic Signal Processing of Fundamental Frequency (F0) Dynamics in Persuasive Sentences from Indonesian Presidential Campaign Videos Miftahulkhairah Anwar (1)- Gede Satya Hermawan (2)- Norliza Jamaluddin (3) (1) Universitas Negeri Jakarta- (2) Universitas Pendidikan Ganesha- (3) Universiti Pendidikan Sultan Idris Malaysia Abstract Political discourse studies have developed significantly- however, most previous research has primarily focused on textual linguistic aspects, while prosodic features remain underexplored. This study investigates the intonational contours and Fundamental Frequency (F0) dynamics of persuasive sentences in Indonesian presidential campaign discourse. A computational phonetics approach was employed using Python libraries, namely Parselmouth and NumPy. The data consisted of campaign videos presenting the visions, missions, and policy programs of the three Indonesian presidential candidates: Anies, Prabowo, and Ganjar, published by the Kompas TV news portal. The findings reveal distinctive F0 patterns and pitch contour characteristics among the candidates. Anies demonstrates more varied intonational movements, with a maximum F0 of 299.23 Hz, a minimum F0 of 75.06 Hz, and a pitch range of 224.17 Hz. Prabowo exhibits a denser and more stable pitch contour, with a maximum F0 of 299.98 Hz, a minimum F0 of 74.96 Hz, and a pitch range of 225.02 Hz. Meanwhile, Ganjar shows a relatively wider and more dispersed pitch contour, with a maximum F0 of 298.41 Hz, a minimum F0 of 75.05 Hz, and a pitch range of 223.36 Hz. These findings indicate that F0 dynamics contribute significantly to political persuasion and communicative style. Keywords: fundamental frequency (F0), persuasive sentences, acoustic signal processing, political discourse, presidential campaign Share Link | Plain Format | Corresponding Author (Miftahulkhairah Anwar)

5	Applied Technology in Physics	ABS-131
Virtual Laboratory-Based Determination of Young^s Modulus via Stress-Strain Measurement Using Computational Simulation Dina Rahmi Darman1 , Firmanul Catur Wibowo2, and Zulkifli Khair3 1 Department of Primary Teacher Education, Universitas Negeri Jakarta, Jakarta, 13220, Indonesia 2 Department of Physics Education, Universitas Negeri Jakarta, Jakarta, 13220, Indonesia 3 Faculty of social sciences and humanities, Universiti Teknologi Malaysia, 81310, Johor, Malaysia. Abstract Elasticity is a fundamental topic in physics, yet students often find stress, strain, and Young^s modulus difficult to understand because these concepts are abstract and require precise measurement. This article describes the use of a virtual laboratory-based computer simulation to determine Young^s modulus through stress-strain measurement. The simulation was designed as a student practicum medium that allows users to vary tensile force, initial wire length, wire diameter, and material type. Through guided practicum activities, students explore the functional relationship between wire elongation, tensile force, cross-sectional area, initial length, and Young^s modulus. This study used a descriptive computational simulation approach consisting of variable exploration, virtual measurement, data tabulation, graph analysis, and mathematical modelling. The practicum results show that wire elongation is directly proportional to tensile force and initial wire length, but inversely proportional to cross-sectional area and Young^s modulus. The graph of wire elongation against tensile force forms a linear pattern, indicating that Young^s modulus can be determined from the gradient of the curve. These findings suggest that virtual laboratories support students^ conceptual understanding of elasticity through visual, interactive, and measurable learning experiences. The simulation also provides a practical alternative for physics practicum activities when access to laboratory equipment is limited. Keywords: virtual laboratory, Young^s modulus, stress, strain, computer simulation Share Link | Plain Format | Corresponding Author (Dina Rahmi Darman)

6	Applied Technology in Physics	ABS-132
Instrumentation for Sound Wave Parameter Measurement: Design of Microcontroller-Based Acoustic Sensor Firmanul Catur Wibowo1 , Abdul Muhyi1, Fakhira Nursabrina1, Kissi Marwanti1, Dina Rahmi Darman1, Daniel Steeven1, and Muhammad Abd Hadi Bunyamin2 1Universitas Negeri Jakarta, Jakarta, Indonesia 2 Faculty of Social Sciences and Humanities, School of Education, Universiti Teknologi Malaysia Abstract This research aims to design, create, program, implement, and optimize a prototype of Electronic Instruments using the Artec Robo 2.0 Kit to learn about sound-wave physics in STEM technology through experimental methods. The challenges faced include (1) difficulties in producing consistent sound signals, (2) the accuracy of detection of frequency and sound intensity, and (3) negative impacts on the environment, such as external noise interference. This prototype was designed, produced, and tested at the Basic Physics Laboratory of the State University of Jakarta. This instrument uses a buzzer, an acoustic sensor, and an IR Photoreflector to detect and analyze sound waves, generating relevant data for learning. The instrument can also be integrated with intuitive sound-analysis software, making it easier for students to learn about and understand sound-wave properties. However, due to acoustic sensor calibration issues, the instrument sometimes exhibits deviations in sound-intensity measurements. This system uses open programming with Scratch or Block Coding scripts, making it easier for students who have not yet mastered coding to use it in learning. Keywords: Sound wave, Acoustic sensor, Acoustic sensor, Design. Share Link | Plain Format | Corresponding Author (Firmanul Catur Wibowo)

7	Applied Technology in Physics	ABS-138
Instrumentation and Control System of Voice-Controlled Smart Vending Robot Using Ultrasonic Sensor, DC Motor, and Microcontroller (1) Usep Suhud, (2) Deosa Putra Caniago, (3) Doni Sugianto Sihotang, (4) Muhammad Khairul Amal, (5) Muaz Azinuddin, (6) Puan Lailatul Faizah Abu Hassan (1,3,4) Universitas Negeri Jakarta (2) Batam Institute of Technology (4) Muhammadiyah University of Sukabumi (1,5) Universiti Sultan Zainal Abidin (6) Universiti Tekonologi Mara Abstract This study introduces a smart retail system that integrates voice interaction, artificial intelligence, and robotic vending to connect digital recommendations with real-world product experiences. Designed to understand customer needs via voice input, it provides personalized suggestions and automatically dispenses product samples through a three-layer setup: IoT-based input, AI processing, and robotic output. Findings indicate that it enhances customer experience by enabling real-time interactions, simplifying product searches, and offering a more personalized shopping journey. Linking AI-driven recommendations with physical sampling also boosts purchase intent and promotional effectiveness through targeted suggestions. Overall, this research highlights the potential of combining voice AI, IoT, and robotics to develop a more interactive and efficient retail ecosystem with promising future applications. Keywords: Smart Retail, Artificial Intelligence, Recommendation System, Voice-Based Interaction, Internet of Things, Robotic Vending System Share Link | Plain Format | Corresponding Author (DONI SUGIANTO SIHOTANG)

8	Applied Technology in Physics	ABS-139
Instrumentation for Skin Color Classification Using RGB and NIR Sensor with Automated Product Dispensing Controlled by Load Cell Feedback (1) Usep Suhud, (2) Deosa Putra Caniago, (3) Doni Sugianto Sihotang, (4) Muhammad Khairul Amal, (5) Sudhashini Nair, (6) Wong Chee Hoo (1,3,4) Universitas Negeri Jakarta (2) Batam Institute of Technology (4) Muhammadiyah University of Sukabumi (5) SEGi University (6) INTI International University Abstract The novelty of this study lies in integrating computer vision, CNN-based skin classification, AI recommendation systems, voice interaction, and smart robotic vending into a single intelligent retail platform for body skincare services. Unlike conventional retail systems that operate separately or mainly in digital environments, the proposed platform combines real-time skin analysis, automated recommendations, interactive communication, and robotic product dispensing within one system. Therefore, this study aims to develop and evaluate an AI-based personalised body skincare recommendation system capable of detecting customer skin types through computer vision and automated image analysis, while automatically dispensing skincare product samples based on recommendation outcomes. Using a Design Science Research approach, the study developed a smart robotic vending prototype integrating image acquisition, AI processing, and robotic output layers. The system utilised HD cameras, controlled lighting, CNN algorithms, recommendation engines, voice interaction, and robotic dispensing technologies to support intelligent customer interaction. The findings showed that the system successfully performed automated skin classification, generated personalised skincare recommendations, and dispensed product samples effectively in real time. In addition, the integration of AI recommendations and robotic vending improved customer engagement, personalisation, and service convenience, highlighting its strong potential for smart beauty retail applications. Keywords: Smart Retail, Computer Vision, CNN-Based Skin Classification, AI Recommendation System, Robotic Vending System Share Link | Plain Format | Corresponding Author (DONI SUGIANTO SIHOTANG)

9	Applied Technology in Physics	ABS-140
Exploring Tourist Sensory Experience of High Temperature and Sulfur Emissions at Geothermal Tourism of Sikidang Crater: A Blended Netnography Approach (1) Doni Sugianto Sihotang, (2) Agung Wahyu Handaru, (3) Rismawati, (4) Wong Chee Hoo, (5) Khairun Nisa, (6) Ichwan Muis (1,2,5) Universitas Negeri Jakara, (3) Universitas Muhammadiyah Palopo, (4) INTI International University, (6) Universitas Cokroaminoto Palopo Abstract This study aims to explore tourists sensory experiences of heat and sulfur emissions at Kawah Sikidang in Dieng as a form of embodied geothermal tourism. The research is motivated by the increasing popularity of geothermal tourism, which offers unique multisensory experiences through direct interaction with active geothermal environments, yet there is still limited research on how tourists experience, interpret, and adapt to these extreme environments. Additionally, Embodied Experience Theory has limitations because it tends to focus on human experiences and has not extensively explored the agency of non-human environments in shaping tourism experiences. This study employs a qualitative approach with a blended netnography design that combines netnography and field research. Digital data were obtained from 1,724 Google Reviews, filtered using the keywords sulfur and geothermal, out of a total of 30,883 reviews. Field data were collected through direct observation, photographic documentation, and semi-structured interviews with 10 tourists at Kawah Sikidang using convenience sampling. Data analysis was conducted thematically through open coding, axial coding, selective coding, and source and method triangulation. The results reveal four main themes: multisensory geothermal immersion, negotiation between attraction and discomfort, adaptive tourist behavior in hazardous leisure spaces, and authenticity through environmental extremity. Tourists experience Kawah Sikidang through sensations of sulfur smell, geothermal heat, crater steam, and sensory discomfort, which simultaneously create immersion, emotional engagement, and experiential authenticity. This research contributes theoretically by expanding Embodied Experience Theory through the concept of human-environment co-embodiment in geothermal tourism, methodologically by using blended nethnography, and practically by developing geothermal tourism grounded in sensory experience, visitor safety, and sustainability Keywords: Geothermal Tourism, Sensory Experience, Blended Netnography, Sulfur, Crater Share Link | Plain Format | Corresponding Author (DONI SUGIANTO SIHOTANG)

10	Applied Technology in Physics	ABS-152
Real-Time Measurement and Analysis of Magnetic Fields Using Data Logger Upik Rahma Fitri1*, Nur Siffa1 , Ferdi Azhar Mauludi1 , Mira Ziveria2 , Ganis Fia Kartika3 and Andry Fitrian4 1Department of Physics Education, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia *upikrahma[at]unj.ac.id 2Department of Information System, Kalbis University, Jl. Pulomas Selatan, Jakarta 13210, Indonesia 3Department of Chemical Engineering, KU Leuven, Celestijnenlaan 200F, B-3001 Leuven, Belgium 4Department of Physics Education, Universitas Indraprasta PGRI, Jl. Nangka Raya, Jakarta 12530, Indonesia Abstract This study aims to perform real-time measurement and analysis of magnetic fields using a data logger. The experimental setup consisted of a data logger, magnetic field sensor, permanent magnet, straight current-carrying conductor, power supply, probe cables, and distance measuring instrument. Magnetic field measurements on a permanent magnet were conducted by varying the distance between the sensor and the magnet from 0.5 cm to 10 cm. The results showed that the magnetic field strength decreased significantly from 31.470 G at 0.5 cm to 0.098 G at 10 cm, indicating that magnetic field intensity weakens with increasing distance from the magnetic source. Measurements were also performed on a straight current-carrying conductor carrying approximately 5 A. The magnetic field strength decreased from 0.317 G at 0.5 cm to -0.073 G at 2.5 cm, reflecting variations in both magnetic field magnitude and direction around the conductor. The data logger provided stable real-time acquisition, automatic data recording, and graphical visualization of magnetic field variations throughout the experiments. These findings demonstrate that a data logger can be effectively utilized for real-time measurement and analysis of magnetic fields, supporting reliable magnetic field characterization in applied physics experiments. Keywords: magnetic field, data logger, permanent magnet, magnetic induction. Share Link | Plain Format | Corresponding Author (Nur Siffa)

11	Applied Technology in Physics	ABS-153
Experimental Investigation of Ideal Gas Behavior Using Real-Time Data Logger System Upik Rahma Fitri1*, Ferdi Azhar Mauludi1, Nur Siffa1, Mira Ziveria2 , Ganis Fia Kartika3 and Andry Fitrian4 1 Department of Physics Education, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia 2 Department of Information System, Kalbis University, Jl. Pulomas Selatan, Jakarta 13210, Indonesia 3 Department of Chemical Engineering, KU Leuven, Celestijnenlaan 200F, B-3001 Leuven, Belgium 4 Department of Physics Education, Universitas Indraprasta PGRI, Jl. Nangka Raya, Jakarta 12530, Indonesia Abstract Understanding ideal gas macroscopic behavior is often constrained by conventional laboratory instruments with low temporal resolution and parallax errors. This study evaluates the reliability of a real-time data logger system in verifying the thermodynamic characteristics of gases under isothermal (Boyles Law) and isochoric (Gay-Lussacs Law) conditions. The apparatus integrates a data logger station with a digital barometer and a thermocouple probe. Quantitative analysis employed linear regression and uncertainty evaluation based on the Guide to the Expression of Uncertainty in Measurement (GUM) framework. For Boyles Law verification, the experimental data yielded an average constant of 20286 hPa mL with a relative uncertainty (RU) of 0.355%. Linear regression between pressure and reciprocal volume produced a coefficient of determination approaching unity, indicating excellent agreement with the theoretical prediction. Meanwhile, Gay-Lussacs Law testing yielded an average P/T constant of 3.30128 hPa/K with an RU of 1.541% and a coefficient of determination of 0.99. The low uncertainty values and high linearity obtained under both experimental conditions indicate that the developed instrumentation provides stable and reliable real-time measurements of thermodynamic variables. These findings demonstrate the suitability of the data logger system for quantitative investigations of gas behavior under controlled laboratory conditions. Keywords: Ideal Gas- Real Gas- Data Logger- Boyle^s Law- Gay-Lussac^s Law- GUM Methodology Share Link | Plain Format | Corresponding Author (Ferdi Azhar Mauludi)

12	Applied Technology in Physics	ABS-179
A Survey-Based Path Model of Digital Warehouse Control, Spatial Material Flow, and Sustainable Inventory Efficiency with an Applied-Physics Validation Framework Kencana Verawati 1 , Mohd. Faizal Bin Sulaiman 2, Wini Rossa Dewi 1, Taufan Prasetyo Putra1, and Anthony Costa 3 1 Port Management and Maritime Logistics, Faculty of Engineering, Universitas Negeri Jakarta, Jl. Rawamangun Muka Raya, Rawamangun, Kota Jakarta Timur, Daerah Khusus Ibu Kota Jakarta 13320. 2 School of Transportation & Logistics, Malaysia University of Science and Technology (MUST), Block B, Encorp Strand Garden Office, No. 12, Jalan PJU 5/1, Kota Damansara, Petaling Jaya, Selangor, Malaysia, 47810 3 Civil Engineering, Faculty of Engineering, Universitas Sriwijaya, Jalan Raya Palembang - Prabumulih KM. 32, Indralaya Indah, Ogan Ilir, Sumatra Selatan, 30662 Abstract This research interprets warehouse operations as a constrained physical-digital material-flow system and analyses how digital warehouse control (DWC) and spatial material flow (SMF) affect sustainable inventory efficiency (SIE). Material-flow delivery performance (MFDP) is retained as the operational mediating mechanism because it represents the reliability of flow execution between storage nodes and delivery destinations. A quantitative survey involved 45 respondents selected using Slovin^s formula. Questionnaire, observation, interview, and secondary record data were analyzed using path analysis and the Sobel mediation test in SPSS. DWC significantly affects SIE (&#946- = 0.385- p = 0.006), while SMF has no significant direct effect (&#946- = 0.034- p = 0.816). MFDP has the strongest direct effect on SIE (&#946- = 0.513- p = 0.000), and the model explains 74.8% of the variance. MFDP mediates the effects of DWC (p = 0.034) and SMF (p = 0.004) on SIE. The novelty lies in a statistically grounded physical-digital material-flow model that links survey-based operational constructs with measurable physical quantities for future sensor-based validation, showing that spatial flow configuration becomes operationally effective when it improves delivery execution. Sensor-based validation of distance, time, average travel speed, localization error, and energy is proposed for subsequent experiments. Keywords: digital technology, warehouse management system, material layout, material delivery performance, sustainable inventory management. Share Link | Plain Format | Corresponding Author (Kencana Verawati)

13	Applied Technology in Physics	ABS-181
Physics-Informed Exploratory Factor Analysis of Flow-Rate Impedance in Box Ship Hour Productivity Kencana Verawati 1 , Rajendran Narayanasamy 2, Nur Azizah 1, Ferty Lanisa Putri 1, Fernanda Sucitra Murti 1, Muhammad Wildan Dzikri 1 1 Port Management and Maritime Logistics, Faculty of Engineering, Universitas Negeri Jakarta, Jl. Rawamangun Muka Raya, Rawamangun, Kota Jakarta Timur, Daerah Khusus Ibu Kota Jakarta 13320. 2 School of Transportation & Logistics, Malaysia University of Science and Technology (MUST), Block B, Encorp Strand Garden Office, No. 12, Jalan PJU 5/1, Kota Damansara, Petaling Jaya, Selangor, Malaysia, 47810 Abstract Box Ship Hour (BSH) can be interpreted as a discrete flow rate variable because it measures the number of container boxes handled per vessel working hour. This research reformulates BSH productivity as an applied-physics problem in which container movement operates as a coupled flow system constrained by resource readiness, environmental disturbance, yard-space impedance, and digital-control responsiveness. This study does not directly measure physical flow variables, but interprets operational factors as flow-impedance modes and links them with secondary evidence of BSH decline. Questionnaire data were collected from 40 operational respondents at an international container terminal, supported by secondary operational reports. Thirty indicators covering loading-unloading equipment, container yard area, human resources, operational information technology, and weather conditions were analysed using Exploratory Factor Analysis. The instrument showed excellent reliability with Cronbach^s Alpha = 0.940, KMO = 0.780, and significant Bartlett^s Test results. Three dominant flow-impedance modes were identified: Resource Integration, Weather Disruption, and Container Yard Area, accounting for 69.745% of the total variance. Secondary operational data confirmed that crane adjustment, bad weather, truck/cargo waiting, system failure, and personnel waiting reduced BSH continuity. The novelty lies in translating BSH from a conventional logistics productivity indicator into a physics-informed flow-rate construct for diagnosing container-flow discontinuity. Keywords: Box Ship Hour, container terminal, exploratory factor analysis, digital technology, maritime logistics, port productivity, sustainable logistics. Share Link | Plain Format | Corresponding Author (Kencana Verawati)

14	Applied Technology in Physics	ABS-189
Automated Quality Classification of Local Sunkist Oranges Based on Digital Image Processing Using the K-Nearest Neighbour Method Cindy Hartita (a*), Luvyta L. M. Syawalia (b), Yulia Resti (c), Ismail Thamrin (b), and Irsyadi Yani (b) a) Doctoral Program of Engineering Science, Faculty of Engineering, Universitas Sriwijaya, Indonesia *cindyhartita1[at]gmail.com b) Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya, Indonesia *irsyadiyani[at]ft.unsri.ac.id c) Department of Mathematics, Faculty of Mathematics and Natural Science, Universitas Sriwijaya, Indonesia Abstract Indonesia, as one of the worlds largest tropical agricultural producers, faces considerable challenges in maintaining the quality and consistency of its horticultural commodities, particularly citrus fruits, amid rising domestic consumption and the growing complexity of modern distribution networks. Increased demand for local Sunkist in Indonesia, especially during certain periods, has led to a growing need for accurate and efficient fruit sorting processes. Manual sorting processes have the potential to cause classification errors, which can result in distribution losses, reduced fruit quality, and health risks for consumers. This study aims to develop an automatic local Sunkist quality identification system based on digital image processing using the K-Nearest Neighbour (K-NN) method. The dataset used consists of 90 images of local Sunkist grouped into three categories, namely unripe, ripe, and rotten. Image acquisition was performed using a webcam installed in a lighting chamber to maintain lighting stability and minimize background interference. The image processing involved cropping the centre area of the image to a size of 20x20 pixels, extracting the Red, Green, and Blue (RGB) colour intensity values, and normalizing the data using the Min-Max Scaling method. The classification process was carried out using the K-NN method with a K value of 3 and Euclidean distance calculation. The results showed that the system was able to classify the ripeness level with an accuracy rate of 92.6%. Keywords: K-NN- RGB extraction- Image processing- Sorting system- Local sunkist Share Link | Plain Format | Corresponding Author (Cindy Hartita)

15	Applied Technology in Physics	ABS-203
Gaussian Fuzzy-Based IoT Prototype for Real-Time Milk Quality Monitoring and Automated Sorting Rafiuddin Syam, Nur Hanifah Yuninda and Fathan Fatazka Universitas Negeri Jakarta Abstract The quality of raw cow^s milk is highly dependent on dynamic parameters such as pH and temperature, which are susceptible to rapid changes during storage and handling. Manual inspection methods are often subjective, inconsistent, and lack real-time capability. This paper presents the design and implementation of an Internet of Things (IoT)-based prototype system for real-time monitoring and automated sorting of milk suitability using a Gaussian fuzzy logic approach. The system integrates a pH4502-C sensor, a DS18B20 temperature sensor, an ESP32 microcontroller, a BTS7960 motor driver-based conveyor actuator, and Firebase cloud platform for real-time data storage and remote monitoring. Measured pH values are first corrected for temperature using a pH temperature coefficient of --0.03\,\text{pH}/^\circ\text{C}-, then processed by a Gaussian membership function-based fuzzy inference system to determine milk suitability levels (Fair, Less Viable, Not Viable). Experimental results show that the pH and temperature sensors achieve relatively low error rates ranging from -\pm1\%- to -\pm5\%- compared to reference instruments. The fuzzy logic system demonstrates consistent performance with manual assessment, yielding an average pH difference of only 0.028 and defuzzification values that correctly correspond to each suitability category. The conveyor system responds accurately to fuzzy outputs, moving forward for acceptable milk and reversing for rejected milk. Real-time data transmission to Firebase enables remote monitoring via a mobile application. The proposed prototype offers an objective, accurate, and scalable solution for automated milk quality control, particularly suitable for small-to-medium scale dairy operations, while contributing to sustainable development goals (SDGs) in food safety and smart agriculture. Keywords: Gaussian fuzzy logic- milk quality monitoring- automated sorting- Internet of Things (IoT)- ESP32- pH and temperature sensors- real-time system- BTS7960 conveyor- Firebase cloud- dairy automation Share Link | Plain Format | Corresponding Author (Rafiuddin Syam)

16	Applied Technology in Physics	ABS-240
Design and Development of A Semi-Autoclave for Packaged Food based on Arduino R4 WiFi and Internet of Things (IoT) Baso Maruddani (a*) , Vina Oktaviani (b), Moch Sukardjo (b), Steviany Ayu Pramesti (b), and Chayapol Kamyod (c,d) a) Electrical Engineering Department, Faculty of Engineering, Universitas Negeri Jakarta, Jakarta 13220, Indonesia b) Electronics Engineering Education Department, Faculty of Engineering, Universitas Negeri Jakarta, Jakarta 13220, Indonesia c) School of Applied Digital Technology, Mae Fah Luang University, Chiang Rai 57100, Thailand d) Computer and Communication Engineering for Capacity Building Research Center, Mae Fah Luang University, Chiang Rai 57100, Thailand Abstract Sterilization is a crucial stage in maintaining the safety and quality of packaged food products, yet access to efficient and affordable sterilization equipment remains a barrier for micro and small enterprises (MSEs). This study aims to design and develop a semi-autoclave for packaged food based on an Arduino R4 WiFi microcontroller and the Internet of Things (IoT). The device is equipped with a type K thermocouple and a pressure transducer transmitter to monitor temperature and pressure, a 12V solenoid valve to open the steam valve automatically, and a safety valve as a manual safeguard. Temperature and pressure data are shown on an I2C LCD and sent to the Blynk application in real time over the internet. Testing was carried out using a comparison method against reference instruments. The results show that the reading error of the pressure sensor is below 5% and that of the temperature sensor below 2%, with an IoT data transmission delay ranging from 533 to 1,003 ms. The device reaches sterilization conditions of about 121 degree C and 15 psi and was evaluated on six types of packaged food. The semi-autoclave proves feasible and effective as an affordable food-heating solution for MSEs. Keywords: Arduino R4- WiFi- Semi-autoclave- Internet of Things- Blynk- Packaged Food- Micro and Small Enterprises Share Link | Plain Format | Corresponding Author (Baso Maruddani)

17	Applied Technology in Physics	ABS-241
Effectiveness of Webcam Visible Spectrometer (WeViSpec) technology dissemination at Kolej Dato^ Onn Jaafar Living Lab as an Applied Research Facility Agus Setyo Budi, Lari Andres Sanjaya, and Mohd Amri Md Yunus Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, 13220 Jakarta Timur, Jakarta, Indonesia Abstract Adulteration of honey with starch-based sweeteners is a global challenge that requires reliable yet affordable detection technology. This research disseminates the Webcam Visible Spectrometer (WeViSpec), a low-cost (USD 30.93) spectroscopy instrument that integrates off-the-shelf components with artificial intelligence, at the Kolej Dato^ Onn Jaafar (KDOJ) Living Lab, Universiti Teknologi Malaysia (UTM). This instrument is designed using a 1080p HD webcam sensor and a diffraction grating from old DVD disks with a single-channel inverted optical system. Data analysis was conducted thru differential absorbance feature engineering and the use of a Variational Autoencoder (VAE) model for dimensionality reduction, as well as a Bayesian Neural Network (BNN) for predicting adulterant concentrations. The test results show that WeViSpec has high wavelength accuracy with an average error of 2.93 nm and a spectral resolution of ~5 nm. The developed AI model successfully classified the types of sweeteners with 100% accuracy and predicted concentrations with high precision (R2=0.9978) and a Limit of Detection (LOD) of 6.66% v/v. The dissemination program involving 20 participants showed very high effectiveness with an average score of 4.68 out of 5.00, confirming the successful transfer of WeViSpec technology as a functional field screening tool in the living lab ecosystem. Keywords: Please Just Try to Submit This Sample Abstract Share Link | Plain Format | Corresponding Author (Lari Sanjaya)

18	Earth Physics and Space Science	ABS-13
Preliminary Result of a Regional Hydrothermal Alteration Analysis in the Dieng Volcanic Area Using Satellite Magnetic Anomaly Data Hanif Izzuddin Zakly (1,2), Mohammad Hasib (2), Adi Susilo (1*), Alamsyah M. Juwono (1), Arif Nur Rohman (1,2), Faradilla Nur Sarianna (2,3), Fathia Matondang (2,3), Putu Billy Suryanata (2), Aditya Pratama (2), Nia Kurnia Praja (2), Dini Nurfiani (2), Siti Zulaikah (4) 1) Departement Physics, Faculty of Science, Technology and Mathematics, Universitas Brawijaya, 65145 Malang, Indonesia *adisusilo[at]ub.ac.id 2) Research Center for Geological Disaster, National Research and Innovation Agency (BRIN), 40132 Bandung, Indonesia 3) Geophysics Engineering, Faculty of Mining and Petroleum Engineering, Institut Teknologi Bandung,40132 Bandung, Indonesia 4) Departement Physics, Faculty of Mathematic and Natural Sciences, Universitas Negeri Malang, 65145 Malang, Indonesia Abstract Dieng is one of the active and geologically complex volcanic regions in Central Java. The area contains various volcanic features, including craters, fumaroles, and solfataras, which are widely distributed across the region. Several of these features have developed into geotourism destinations, while others are associated with geothermal manifestations that support the potential use of renewable energy, particularly around Sikidang and Sibanteng Craters. Despite the significant geothermal potential of the Dieng Volcanic Area, the spatial distribution of hydrothermal alteration zones has not yet been mapped in detail. Therefore, this study aims to analyze and regionally map hydrothermal alteration zones in the Dieng Volcanic Area using satellite-derived magnetic anomaly data. Variations in magnetic anomaly values within the Dieng Volcanic Area can be used to identify the distribution and possible extent of alteration zones. The analysis of total magnetic anomaly data shows that magnetic anomaly values in the Dieng Volcanic Area range from -190.03 to 312.87 nT. Low magnetic anomalies, ranging from -190.03 to -64.31 nT, are represented by dark blue to light blue colors on the anomaly map. These low-anomaly zones are distributed around Mount Bismo, Seroja, and Pakuwaja, and also include geothermal manifestation areas such as Telaga Merdada, Sikidang Crater, and Sibanteng. The alteration zone is also interpreted to be connected with Mount Sindoro, located to the east-southeast of the Dieng Volcanic Area. This zone is likely associated with andesitic rocks that have undergone demagnetization due to hydrothermal alteration processes. These results provide preliminary evidence of hydrothermal alteration zones within the Dieng Volcanic Area and may serve as a useful reference for future geophysics-geological exploration. Keywords: Dieng Volcanic Area, Hydrothermal Alteration Zone, Magnetic Anomaly Share Link | Plain Format | Corresponding Author (Hanif Izzuddin Zakly)

19	Earth Physics and Space Science	ABS-16
Rock Magnetism and Geochemical Analysis of Paleoenvironmental Sediment in Kabuh and Pucangan Formations: Sangiran, Central Java, Indonesia Muhammad Irfan Nawawi (a), Shandiyano Putra (a), Budi Legowo (a), Wiwit Suryanto (b), and Budi Purnama (a*) a) Physics Department, Universitas Sebelas Maret, Jawa Tengah 57126, Indonesia *bpurnama[at]mipa.uns.ac.id b) Physics Department, Universitas Gadjah Mada, Daerah Istimewa Yogyakarta 55281, Indonesia Abstract Research on the characteristics of paleoenvironmental sediments in Sangiran is very important. Sangiran is located north of the Solo zone and south of the Kendeng zone, which is the center of the Java Basin, where rapid sediment deposition occurred during the Miocene to Pleistocene epochs. This indicates that the depositional environment in Sangiran is very complex. The aim of this study is to identify the characteristics of the sedimentary environment in Sangiran using its magnetic properties. Magnetic properties stored in sediments and rocks have specific characteristics as fingerprints of ancient volcanic activity. The rock magnetism method combined with geochemical analysis was applied in this study. The results of this study indicate positive magnetic susceptibility values, ranging from 6.42\times10^{-3} to 122\times10^{-3} SI in the Pucangan formation, and 12.63\times10^{-3} to 142.67\times10^{-3} SI in the Kabuh formation. XRF analysis of samples with the highest magnetic susceptibility values shows that the dominant elements in both outcrops are Fe (33.6 percent in Pucangan, 26.6 percent in Kabuh) and Si (37.18 percent in Pucangan, 42.36 percent in Kabuh). XRD analysis shows the presence of magnetite and hematite minerals in both samples. The \chi_{fd} value from MS2B analysis is 0.1 to 0.86 percent which indicates the presence of magnetic multidomains. The Kabuh Formation reflects a dynamic river depositional environment and is strongly influenced by volcanic activity, while the Pucangan Formation depicts a quieter depositional environment, most likely a lake, with more limited volcanic influence. Keywords: Rock Magnetism- Geochemical Analysis- Sangiran- Paleoenvironmental Share Link | Plain Format | Corresponding Author (Muhammad Irfan Nawawi)

20	Earth Physics and Space Science	ABS-36
Multi-day Persistence of Equatorial F-region Field-Aligned Irregularities: Evidence from Radar Observations over Indonesia Dyah Rahayu Martiningrum1,2*, Suhaila M Buhari1*, Prayitno Abadi2,3, Ihsan N Muafiry2, Anwar Santoso4,5, and Rezy Pradipta6 1. Dept. of Physics Universiti Teknologi Malaysia, Skudai, Johor Bahru, 81310, Malaysia 2. Research Center for Climate and Atmosphere, National Research and Innovation Agency, Bandung, Indonesia 3. School of Electrical Engineering, Telkom University, Bandung, Indonesia 4. Research Center for Space, National Research and Innovation Agency, Bandung, Indonesia 5. Physics Department, Faculty of Mathematics and Natural Sciences, Gadjah Mada University, Yogyakarta, Indonesia 6. Institute for Scientific Research, Boston College, Chestnut Hill, Massachusetts, USA Abstract This study examines nighttime field-aligned irregularities (FAI) in the F-region ionosphere over the Equatorial Atmosphere Radar (EAR) site in West Sumatra, Indonesia, using observations from 2011 to 2016. FAI events are identified from radar backscatter intensity and classified daily as present or absent. A combinatorial framework is applied to quantify multi-day occurrence patterns over 1 to 6-day sequences, enabling direct assessment of temporal structure, including persistence and transition behaviour. The analysis is performed for equinox (March and September) and solstice (June and December) periods. FAI occurrence peaks during equinoxes and is strongly suppressed during solstices. Beyond this seasonal contrast, the results reveal clear and systematic multi-day persistence and transition patterns. Solstice periods are dominated by extended non-occurrence sequences, while equinox periods show more frequent transitions and a more balanced distribution of occurrence patterns. These findings demonstrate that FAI variability follows organized temporal structures rather than random behaviour. The observed persistence is consistent with ionospheric preconditioning, where background plasma conditions evolve gradually across days, as well as with seasonal modulation of the Rayleigh-Taylor instability through variations in pre-reversal enhancement of the zonal electric field. The proposed approach provides a concise and robust framework for quantifying multi-day temporal structure in ionospheric irregularities, strengthening both their statistical characterization and physical interpretation, with direct implications for future forecasting efforts. Keywords: ionospheric irregularities, day-to-day variability, equatorial ionosphere, combinatorics, persistence Share Link | Plain Format | Corresponding Author (Dyah Rahayu Martiningrum)

21	Earth Physics and Space Science	ABS-37
Longitudinal Variability of Ionospheric Scintillation Over Indonesia: Insights from GISTM-Based S4 Index Mapping and TEC Fluctuations Dyah Rahayu Martiningrum1,2*, Suhaila M Buhari1*, Prayitno Abadi2,3, Sri Ekawati2, Teguh N Pratama2 1. Dept. of Physics Universiti Teknologi Malaysia, Skudai, Johor Bahru, 81310, Malaysia 2. Research Center for Climate and Atmosphere, National Research and Innovation Agency, Bandung, Indonesia 3. School of Electrical Engineering, Telkom University, Bandung, Indonesia Abstract Equatorial ionospheric scintillation is frequently observed over Indonesia and may significantly affect satellite-based communication and navigation systems. This study examines the longitudinal variability of ionospheric scintillation across the Indonesian region using S4 index observations obtained from four GPS Ionospheric Scintillation and TEC Monitor (GISTM) stations located at Pontianak, Bandung, Manado, and Kupang during March 2015. Scintillation events were identified and mapped through ionospheric pierce point (IPP) projections at an altitude of 350 km. The analysis shows noticeable east-west differences in scintillation occurrence over Indonesia. Strong scintillation events (S4 > 0.5) were predominantly detected within geographic latitudes between 0 deg and 10 deg S, with the highest intensity concentrated around 5 deg S-6 deg S. Several observed events exhibited distinct regional characteristics, including cases where strong scintillation appeared simultaneously across all observation sectors, as well as events confined mainly to either the western or eastern region of Indonesia. Differences in scintillation onset time between eastern and western longitudes indicate the longitudinal development of ionospheric irregularities across the region. These results emphasize the dynamic and localized behavior of equatorial ionospheric scintillation over Indonesia and demonstrate the value of multi-station observations for regional ionospheric monitoring and future space weather studies. Keywords: Ionospheric Scintillation- Amplitude Scintillation S4 Index- Equatorial Ionization Anomaly (EIA)- Low-latitude Ionosphere Share Link | Plain Format | Corresponding Author (Dyah Rahayu Martiningrum)

22	Earth Physics and Space Science	ABS-49
Integrated Magnetic Susceptibility Analysis and Fe2O3 Mapping as Coupled Proxies for White Hydrogen Potential in Semeru Volcano Dewi Ningsih(1), Siti Zulaikah(2*), Cahyo Aji Hapsoro(3) (1,2,3)Department of Physics/Faculty Mathematics and Natural Sciences, Universitas Negeri Malang, Jl. Semarang 5, Malang, 65145, Indonesia *E-mail: siti.zulaikah.fmipa[at]um.ac.id Abstract White hydrogen has recently significant attention as a potential low-carbon energy source. This study aims to identify hydrogen-related geological processes in Semeru^s Volcanic through magnetic susceptibility and spatial mapping of Fe2O3. Magnetic susceptibility can be used as a proxy indicators for identifying in iron-bearing mineral within geological materials. Based on compiled data, the linier regression analysis was applied to evaluated the correlation between low-frequency magnetic susceptibility (&#120594-&#119897-&#119891-) with Fe2O3 concentration. The statistical results a Pearson correlation coeficient (r = 0.755) and a coefficient of determination (R2=0.0570), indicating a moderate to strong positive correlation between both parameters and has suggested that approximately 57 % of the variability in iron oxide phases controls the magnetic response significantly. The contour mapping based reanalysis of compiled geochemical data of Fe2O3 distributions in Semeru, have shown a low results with smooth gradients, indicating that limited oxidation and alteration have occurred on surface area. The spatial distributions pattern has reflected a subsurface in volcanic system controlled by fluid migration and low magnetic susceptibility zones can be interpreted as white hydrogen fluid migration pathways. This correlation demonstrates that geochemical spatial of Fe2O3 and magnetic susceptibility analysis can be used as a relevant proxies to identify the distribution of white hydrogen. Keywords: White Hydrogen- Magnetic Susceptibility-F2O3-Semeru Volcano Share Link | Plain Format | Corresponding Author (Dewi Ningsih)

23	Earth Physics and Space Science	ABS-61
Geochemical and magnetic properties of early pleistocene eruptions in Sangiran area, Central Java Province, Indonesia 1Shandiyano Putra, 1Aqilla Alya Pramita 1Budi Legowo, 2Agus Tri Hascaryo, 3Wiwit Suryanto, 1Budi Purnama* 1 Department of Physics, Sebelas Maret University, Jawa Tengah 57126, Indonesia 2Departement of Environment, Faculty of Civil and Planning Technology, Islamic Indonesia University, Yogyakarta, 55584, Indonesia. 3 Physics Department, Gadjah Mada University, Bulaksumur, BLS21, Yogyakarta, 55281, Indonesia Abstract This study aimed to identify the types of minerals and magnetic properties of an outcrop located in Sangiran. Sangiran is a primordial man archeological sites located between three volcanoes namely Merapi, Merbabu, and Lawu Volcano. Sangiran is known as an ancient site that holds fossils dating back thousands to millions of years. However, aside from that, there is a fact that steals the attention, namely the discovery of outcrops of that holds the results of ancient eruptions. We used the rock magnetism method. From the 27 samples we found, we took six samples that were representative of all the samples we found. To address these inquiries, a comprehensive investigation was conducted characterization test using X-Ray Fluoresence (XRF), X-Ray Diffractometer (XRD), and Vibrating Sample Magnetometer (VSM). The output of XRF characterization said that the sample were dominated by Si-O and Fe-O is element released during the process of eruptions. The XRD output showed minerals are magnetite, hematite, and greigite and the nonmagnetic minerals are calsilite, afwillite, quartz, and anorthite. The most intriguing aspect of this occurrence is the presence of greigite, a mineral that serves as a compelling evidence for the existence of a direct correlation between Sangiran, volcanic eruptions, and the presence of ancient humans in the region. Based on the output of VSM characterization test, each sample belongs to a soft magnet with a multidomain category. Keywords: Rock Magnetic, Greigite, Soft Magnetic, Multi Domain Share Link | Plain Format | Corresponding Author (shandiyano putra)

24	Earth Physics and Space Science	ABS-62
A Rock Magnetism Approach Using Magnetic Anomaly and Susceptibility Analysis to Identify Hydrothermal Alteration Zones at Mount Lawu Choirul Singgih Munandar, Budi Legowo, Budi Purnama, dan Jamhir Safani Sebelas Maret University & Halu Oleo University Abstract This study aims to characterize hydrothermal alteration and the distribution of geothermal manifestations based on Earth Magnetic Model (EMM) 2019 satellite data, which was then processed using the Reduce To Pole (RTP) transformation to identify the distribution of magnetic anomalies. The RTP results show anomaly values ranging from -6.21 nT to 2.33 nT, with high-anomaly zones primarily located in the northern and eastern parts of the study area, which are composed of young volcanic rocks, while low-anomaly zones can be found in the western to southwestern parts, associated with hydrothermal alteration and geological structures. Magnetic susceptibility analysis was conducted using the parameters &#967-LF, &#967-HF, and &#967-FD (%). Measurement results indicate that most samples have &#967-FD (%) values < 2%, suggesting a predominance of superparamagnetic grains due to intense hydrothermal alteration. Integration of magnetic and susceptibility data indicates that the distribution of geothermal manifestations is controlled by geological structures such as faults, fractures, and lineaments, which act as pathways for hydrothermal migration toward the surface. Keywords: Hydrothermal Alteration, Magnetic Anomaly, Magnetic Susceptibility, Mount Lawu Share Link | Plain Format | Corresponding Author (Choirul Singgih Munandar)

25	Earth Physics and Space Science	ABS-80
1-D Occam inversion of TDEM data for preliminary groundwater identification in post-earthquake Cianjur, West Java, Indonesia Marshanda Adisti Rahmadini (a), Ario Nawangsidi (a), Indriyati (a), Nurhasan (a), Enjang Jaenal Mustopa (a*) (a) Earth Physics and Complex Systems Research Group, Physics Department, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung 40132, Indonesia *enjang[at]itb.ac.id Abstract The 5.6 Mw earthquake that struck Cianjur Regency, West Java, Indonesia in November 2022 disrupted shallow groundwater systems across the affected area, exacerbating water scarcity during prolonged dry seasons. Located along the seismically active Cimandiri Fault, the region requires urgent subsurface characterization to support groundwater recovery planning. This study applied the Time-Domain Electromagnetic (TDEM) method to identify the preliminary subsurface resistivity structure for groundwater potential mapping in the affected area. TDEM transmits a transient pulse of electric current through a loop on the ground surface and records the decay of the induced secondary electromagnetic field over time, yielding depth-resolved resistivity profiles. Eight TDEM soundings were acquired and inverted using layered-earth models. The optimal model for each sounding was selected based on the lowest root-mean-square (RMS) misfit while maintaining geological plausibility. The resulting 1-D resistivity profiles were laterally stitched to construct pseudo-2D resistivity sections across the study area. Sounding locations were analyzed to identify low-resistivity anomalies interpreted as potential saturated zones based on the geological context of the study area. Inversion results reveal three distinct resistivity units: a shallow resistive layer (>100 Ohm.m) interpreted as dry volcanic overburden, an intermediate low-resistivity zone (5-20 Ohm.m) at depths of approximately 40-60 m identified as a saturated aquifer candidate, and a deeper resistive unit (>1000 Ohm.m) corresponding to compact basement rock. These findings provide a preliminary subsurface framework to guide further groundwater exploration and recovery planning in earthquake-affected Cianjur. Keywords: TDEM, groundwater, Cianjur, 1D inversion Share Link | Plain Format | Corresponding Author (Marshanda Adisti Rahmadini)

26	Earth Physics and Space Science	ABS-86
Subsurface Resistivity Modeling of the Lembang Fault Western Segment Using 2D Geoelectrical Method in Parongpong, West Bandung Indriyati(1*), M Zulfansyah Saepul Mutaqin(1) , Ihyaudin Hasbillah(1), Dini Fitriani(2) , Randi Rusdiana(1) (1)Earth Physics and Complex Systems Research Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesa 10, Bandung 40132, Indonesia *E-mail: indriyati89[at]gmail.com (2)Department of Geophysics, Faculty of Mathematics and Natural Sciences, University of Padjadjaran, Bandung 45363, Indonesia Abstract The Lembang Fault is an active fault in West Java located 15 km north of Bandung City, generally divided into the East and West segments. This study applies the 2D Geoelectric method to model the subsurface resistivity of the western segment in Parongpong, identified by BMKG as an active zone. Data were acquired along a 675-meter North-South transect using 28 electrodes with 25-meter spacing, employing Schlumberger and Wenner configurations. Inversion results reveal a strong correlation between both configurations, with error rates of 8.9% and 9.5%. Both configurations identify three low resistivity anomalies below 20 ohm m at approximately 180 m, 300 m, and 425 m along the survey line. These anomalies spatially coincide with three mapped fault traces and are interpreted as fault-related deformation zones characterized by fractured volcanic rocks and possible fluid accumulation. Higher resistivity units above 40 ohm m are interpreted as relatively less deformed volcanic deposits, including tuff and sandy tuff that dominate the study area. Keywords: Lembang Fault, 2D Geoelectrical Method, Subsurface Resistivity, Schlumberger Configuration, Wenner Configuration, Inversion Modeling Share Link | Plain Format | Corresponding Author (Indriyati -)

27	Earth Physics and Space Science	ABS-92
Improving the Quality of Magnetotelluric Data Around Lembang Fault Area Based on Coherence Analysis Muhammad Zulfansyah Saepul Mutaqin (a), Nurhasan (a*), Gusti Muhammad Lucki Junursyah (b), Hidayat (b), Ahmad Setiawan (b), Randi Rusdiana (a), Ihyaudin Hasbillah (a) a) Earth Physics and Complex System, Bandung Institute of Technology Jalan Ganesha 10, Bandung 40132, Indonesia *nurhasan[at]itb.ac.id b) Center For Geological Survey, Geological Agency, Ministry of Energy and Mineral Resources Jl. Diponegoro 57, Bandung 40122, Indonesia Abstract Magnetotelluric is a passive geophysical method that measures variations in the Earth^s natural electric and magnetic fields to observe subsurface conditions at depths of up to 10 kilometres. The physical parameters produced by this method are the resistivity properties of the subsurface layer. The main problem with the magnetotelluric method is the influence of noise that affects data quality. Noise that is often encountered in the field is AC current generated from household electricity and regional lightning. The quality of data affected by noise needs to be improved to obtain good interpretation results and approach the actual conditions below the surface. This study aims to reduce the influence of coherent noise through data processing based on coherence values. Data obtained at 5 points around the Lembang Fault and close to the population. Increasing the coherence value through several stages of the process, namely using robust, time series, and edit cross power (XPR). The results obtained are proven to increase the coherence value by up to 20 Percent. This study aims to prove that the detected noise can be reduced to improve the quality of MT data to obtain the actual subsurface conditions. Keywords: Coherence, Magnetotelluric, Noise Share Link | Plain Format | Corresponding Author (Muhammad Zulfansyah Saepul Mutaqin)

28	Earth Physics and Space Science	ABS-94
Communicating ASEAN Food Security and SDGs through ^Food of Unity in Diversity^: A Comparative Study of Malaysian and Indonesian University Students Perspectives Nada Arina Romli, Mohd. Nur Najmi Nuji, Sandy Allifiansyah, Muhammad Fikri Akbar, Mega Ayu Permatasari, Noprita Herari Universitas Negeri Jakarta, Indonesia University Teknologi MARA, Malaysia Abstract Food security has become an increasingly important issue in ASEAN, not only as an economic and agricultural concern but also as a matter of regional solidarity, sustainability, and youth participation. Under Malaysias ASEAN Chairmanship 2025, which carries the official theme of Inclusivity and Sustainability food-related communication offers a relevant entry point to examine how young people understand ASEANs shared challenges and cultural diversity. This study explores how the campaign tagline Food of Unity in Diversity can be communicated as part of food and agro diplomacy to strengthen ASEAN food security awareness among university students in Malaysia and Indonesia. Using a qualitative comparative approach, this study draws on interviews with 70 university students from both countries. The data are analyzed thematically to identify students perceptions of food security, local food identity, sustainable agriculture, ASEAN solidarity, and the role of youth in communicating regional issues. The study argues that food can function beyond cultural representation- it can also become a strategic communication medium for translating sustainability issues into everyday narratives that are familiar to young audiences. Preliminary thematic directions indicate that Malaysian and Indonesian students tend to associate food with cultural pride, regional belonging, affordability, agricultural resilience, and digital campaign potential. However, their understanding of food security is often shaped more by cultural and social experience than by scientific or policy-based knowledge. This paper contributes to discussions on sustainable development communication by showing how food and agro diplomacy can bridge ASEAN identity, youth engagement, and sustainability awareness. It also positions university students as potential communicators of food security who can transform the abstract agenda of regional sustainability into accessible, culturally grounded, and participatory messages. Keywords: ASEAN food security, food and agro diplomacy, Food of Unity in Diversity, university students, Malaysia, Indonesia, sustainability communication Share Link | Plain Format | Corresponding Author (Nada Arina Romli)

29	Earth Physics and Space Science	ABS-98
Preliminary Apparent Resistivity Mapping Using 1D Vertical Electrical Sounding in an Office Area Ria Agustiana Putri (a*), Dr. Sri Cahyo Wahyono (a), Dr. Totok Wianto (a) (a) Program Studi Magister Fisika, Universitas Lambung Mangkurat Jl. Ahmad Yani KM. 36, Kota Banjarbaru 70714, Indonesia *2421037320002[at]mhs.ulm.ac.id Abstract Identification of lateral variations in subsurface electrical properties can be done with an initial approach in the form of apparent resistivity mapping. This study presents an initial map of apparent resistivity in an office area in South Kalimantan. Field data were obtained from 30 1D Vertical Electrical Sounding (VES) measurement points with a Wenner configuration and electrode spacing of 5-60 m. Apparent resistivity values were then displayed on a contour map based on three selected apparent depths (z), namely z = 7.5 m, z = 17.5 m, and z = 30 m. The mapping results show variations in apparent resistivity values with apparent depth. At z = 7.5 m, it is dominated by a high apparent resistivity zone (200-500 ohm m) and a very high apparent resistivity zone (>500 ohm m). At z = 17.5 m, the zone is dominated by a medium apparent resistivity zone (100-200 ohm m) followed by a low apparent resistivity zone (50-100 ohm m) and a high resistivity zone (200-500 ohm m) that appears locally. At z = 30 m, a low apparent resistivity zone (50-100 ohm m) is widespread followed by a very low apparent resistivity zone (20-50 ohm m) as well as a medium apparent resistivity zone (100-200 ohm m) and several high apparent resistivity zones (200-500 ohm m) and very high apparent resistivity zones (>500 ohm m). These results provide an initial overview for further subsurface interpretation and hydrogeological zone analysis. Keywords: apparent resistivity, 1D VES, Wenner configuration, apparent depth, contour mapping Share Link | Plain Format | Corresponding Author (Ria Agustiana Putri)

30	Earth Physics and Space Science	ABS-113
Magnetotelluric Data Dimensionality Analysis of Bandung Basin Resistivity Models Ihyaudin Hasbillah(a), Nurhasan(a*), Rafa Zahira Suhaila(a), Huwaida Badia Abidin(a), Nada Galuh Khalisa(a), Muhamad Zulfansyah Saepul Mutaqin(a), Gusti Muhammad Lucki Junursyah(b), Hidayat(b), Ahmad Setiawan(b) and Ordio Roeslan Wijaya(c) (a)Earth Physics and Complex System Research Group, Department of Physics, Bandung Institute of Technology, Bandung, Indonesia *nurhasan[at]itb.ac.id (b)Geological Survey Center, Geological Agency, Ministry of Energy and Mineral Resources, Bandung, Indonesia (c)Department of Geophysics, Padjadjaran University, Sumedang, Indonesia Abstract The complex structure of the Bandung Basin resulted from the tectonic activity of the Ancient Mount Sunda millions of years ago. To understand this complex structure, the Magnetotelluric (MT) method was applied at 31 stations to analyze the dimensionality and direction of the subsurface structures within the basin. The analysis results show tipper values of less than 3 degrees across the entire period range, indicating that the regional structure is predominantly two-dimensional (2D). The strike direction (Swift angle) varies with the period, reflecting changes in the geoelectric strike relative to depth. At short periods (shallow depths), the dominant structural direction is North-South (5 degrees). At long periods (greater depths), the structural direction shifts to Northwest-Southeast (317 degrees). This deep-seated strike orientation is parallel to the fault system in the northern Bandung Basin, which extends from East-Southeast to Northwest. This alignment indicates that the deep structures of the Bandung Basin are controlled by the regional fault system, whereas the shallow structures are more influenced by volcanic sedimentary lithology. Keywords: Bandung Basin- Dimensionality- Magnetotelluric- Strike- Tipper Share Link | Plain Format | Corresponding Author (Ihyaudin Hasbillah)

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