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61	Energy and Environmental Physics	ABS-187
Analisis Distribusi Spasial Suhu Tanah Di Kotamobagu Siti Sarah Dayanun, Asri Arbie, Syafril Agustion Tomayahu, Melki Hasan, Adinda Putri Balqis Mokodongan, Muzdalifa A. Madusila Universitas Negeri Gorontalo Abstract Suhu tanah merupakan salah satu parameter fisika penting dalam kajian lingkungan karena dapat menggambarkan kondisi fisik tanah pada suatu wilayah. Penelitian ini bertujuan untuk mengetahui suhu tanah pada beberapa jenis penggunaan lahan, yaitu perkebunan, permukiman, perbukitan, pusat kota, wilayah vegetasi, dan persawahan di Kotamobagu. Kotamobagu merupakan wilayah yang dikelilingi oleh perbukitan dan pegunungan dengan iklim tropis serta curah hujan yang cukup tinggi (antara 1500 mm hingga 2500 mm pertahun) dengan suhu harian berkisar antara 20 - 29C dan ketinggian rata-rata 180 hingga 130 mdpl. Pengukuran suhu tanah dilakukan pada kedalaman 10 cm dengan menggunakan infared thermometer di 100 titik pengamatan yang ditentukan menggunakan metode grid berukuran 500m x 500m. Data hasil pengukuran kemudian dianalisis secara deskriptif untuk menampilkan profil suhu tanah pada masing-masing area penggunaan lahan. Hasil penelitian menunjukkan bahwa suhu tanah terukur berada pada rentang 22,5C hingga 38,1C, dengan rata-rata suhu tanah pada area permukiman 28,9C, perkebunan 29,7C, pusat kota 25,4C, area bervegetasi 28,4C, perbukitan 25,6C dan persawahan 27,5C. Hal ini menunjukkan bahwa suhu tanah daerah Kotamobagu masih di bawah suhu tanah normal wilayah tropis sebesar 27-31C dan jauh di bawah batas maksimal suhu tanah untuk kehidupan tanaman dan pertanian sebesar 45C. Keywords: Suhu tanah, Distribusi Spasial, Kotamobagu Share Link | Plain Format | Corresponding Author (Siti Sarah Dayanun)

62	Energy and Environmental Physics	ABS-195
Development and Thermal Validation of a Portable Guarded Hot Box for Steady-State Window U-Value Measurements Karisma Rahmawati (a), Dian Permata Lestari (a), Hadi Nasbey (b), Nurcahya Pradana Taufik Prakisya (c), Maqbul Kamaruddin (d), Dewanto Harjunowibowo (a*) a) Physics Education Study Program, Sebelas Maret University, Surakarta, Indonesia *dewanto_h[at]staff.uns.ac.id b) Physics Education Study Program, Jakarta State University, Jakarta, Indonesia c) Informatics and Computer Engineering Education Study Program, Sebelas Maret University, Surakarta, Indonesia d) Department of ICT Integrated Ocean Smart City Engineering Dong-A University, Busan 49315, Korea d) Department of Architecture, Institut Teknologi Sumatera, South Lampung Regency 35365, Indonesia Abstract Guarded Hot box (GHB) has become popular for measuring the thermal transmittance of materials to investigate building energy efficiency. However, previous studies show that developing a portable apparatus and achieving a fast steady state is difficult. Therefore, this study presents the design, calibration, and validation of a low cost portable guarded hot box (GHB) for in situ measurement of the U value of building materials. We used two insulated cubic chambers equipped with thermoelectric modules, PID temperature controllers, thermocouples, and a heat flux sensor. A 5 mm single pane glass specimen with an area of 0.01 m^2 was evaluated under two wall chamber configurations (uninsulated and aerogel insulated). We calibrated the thermocouple before testing to improve sensor consistency. The experimental results showed that the uninsulated chamber produced an apparent U value of 4.07 0.04 W/m^2K. This underestimated the reference range due to uncontrolled heat losses through the chamber walls. After applying a 3 mm aerogel insulation layer, the measured U value increased to 5.95 0.04 W/m^2K, which is close to published reference values for standard single glass. In terms of energy efficiency, the insulated configuration could reduce average power consumption by 51.25%, indicating that improved thermal stability and energy efficiency of the apparatus were achieved. The findings demonstrate that minimising heat losses is essential for accurate U value determination in compact portable GHB systems intended for field applications. Keywords: Guarded hot-box- Thermal transmittance- U-value measurement- Heat flux analysis- Building thermal performance Share Link | Plain Format | Corresponding Author (Dian Permata Lestari)

63	Energy and Environmental Physics	ABS-199
Analysis of Fire Propagation, Heat Release Rate, and Radiation Growth in Motorcycle Fires in Open Areas Using Pyrosim: A Case Study on the UNJ Campus Pratomo Setyadi, Dicky Chandra, Imam Asyrafi Alfarizi, Mayzar Maulana Universitas Negeri Jakarta Abstract The motorcycle open parking space is provided UNJ (State University of Jakarta) with limited capacity, but the number of academic community is increasing. The arrangements sometimes being done in a scrambled mode with very limited spacing, and these motorcycles parked in hot condition from the engine and environment. As a result, an uncontrolled two-wheeled vehicle layout can pose a danger in the event of a fire. This study uses Pyrosim 2025 software as a pre-software FDS (Fire Dynamic Simulator) that will analyze the Flame Spread, HRR (Heat Release Rate) graph increase, and graph (conduction, convection, and radiation). The object that is burned is in the form of a motorcycle, with a material consisting of foam (as a motorcycle seat) and polypropylene (as a motorcycle body). Furthermore, the chemical reaction to be used is propylene. The particle ignitor model is designated as the ignition source in the foam material. In this simulation, the influence of wind is ignored to see the magnitude of the influence of radiation and natural coction on heat transfer on the spread of fire. The simulation results presented are in the form of a graph of a significant increase in HRR (Heat Release Rate) when the fire starts to ignite and grows to spread to the surrounding motors, visualization shows that the fire spreads in the direction of the model^s material geometry, and heats the surrounding material with the principles of conduction, radiation and natural convection. The heat release rate spikes immediately as soon as most of the material decomposed and turned into flashover. The radiation also increasing when the fire spread and the flame size become enormous. The heat release rate, flame spread, flame size : height and diameter, radiation increased almost linearly. Keywords: Ignition, Fuel, HRR, Radiation, Fire, Spread Share Link | Plain Format | Corresponding Author (PRATOMO SETYADI)

64	Energy and Environmental Physics	ABS-207
Recovery of Energy-Rich Hydrocarbon Fractions from Petroleum Sludge via Solvent Extraction: Insights from GC-MS Profiling Siska Nuri Fadilah (a), Wahyu Setiawan (a), Zainal Fanani (b), Muhammad Faizal (c), May Sarah Tampubolon (c), Fakhili Gulo (a*) (a) Department of Environmental Science, Postgraduate Program, Universitas Sriwijaya, Palembang 30139, South Sumatra, Indonesia (b) Department of Chemistry, Universitas Sriwijaya, Indralaya, Ogan Ilir 30662, South Sumatra, Indonesia (c) Department of Chemical Engineering, Universitas Sriwijaya, Indralaya, Ogan Ilir 30662, South Sumatra, Indonesia Abstract Petroleum sludge waste is a hazardous waste that still contains high-energy hydrocarbon fractions, thus offering potential for reuse through an energy recovery approach. This study aims to examine the composition of hydrocarbons extracted from petroleum sludge and evaluate the potential for energy recovery based on the distribution of the compounds obtained. The method used was a batch extraction system with a reflux system using a commercial hydrocarbon solvent at a 1:1 sludge-to-solvent ratio at 60 celcius for 40 minutes with magnetic stirring. The extraction results were then separated by fractional distillation to separate the solids, water, solvent, and oil fractions. The resulting oil fractions were further characterized using Gas Chromatography Mass Spectrometry (GCMS). The analysis results showed a predominance of aromatic hydrocarbons at 71.7% in the petroleum sludge waste extract, indicating the presence of compounds with high thermal stability and energy density. Furthermore, the aliphatic fraction of 22.92% in the C10 until C26 range indicated the presence of hydrocarbons in the liquid fuel range. Oxygenated compounds (2.69%) and heavy bioactive compounds (3.28%) were also detected in minor amounts. The predominance of aromatic hydrocarbons indicates a tendency for selective extraction of thermally stable compounds, while the presence of the aliphatic fraction strengthens its potential use as a fuel. These results confirm that a simple solvent extraction method can recover high-energy hydrocarbon fractions from petroleum sludge waste. Therefore, this waste is not only a source of pollution but also a potential source for energy recovery within a sustainability and circular economy framework. Keywords: Energy Recovery, GC-MS, Petroleum Sludge, Solvent Extraction, Waste-to-Energy. Share Link | Plain Format | Corresponding Author (Siska Nuri Fadilah)

65	Energy and Environmental Physics	ABS-228
Spectral Knowledge Ecosystem for Cultural Heritage: Integration of Spectroscopy, Information Management, and Education Dimas Kurnia Robby, Aldo Redho Syam, Lari Andres Sanjaya, Maydi Aula Riski, Vion Age Tricahyo. Rian Sanjaya, Firmansyah Universitas Negeri Jakarta Abstract The preservation of cultural heritage now demands an analytical approach that goes beyond visual digitization towards evidence-based preservation. Spectroscopy is rapidly developing in heritage science because it allows for non-destructive characterization of paper, ink, pigments, and other susceptible materials, while recent studies are moving toward multi-instrument analysis, machine learning, and spectral databases. This article aims to formulate a conceptual model of a spectral knowledge ecosystem that combines spectroscopy, preservation metadata, archive management, and cultural heritage education in the Indonesian context. The study uses systematic integrative review combined with the development of a conceptual model, with thematic synthesis and conceptual mapping as the basis of the analysis. The results of the analysis identified five interdependent layers, namely spectral acquisition, preservation and archival metadata, repository infrastructure, access and partnerships, and education and learning. The proposed framework places spectroscopy not solely as laboratory instrumentation, but as a knowledge infrastructure that supports preservation decision-making, cultural data interoperability, and cross-disciplinary learning. This model contributes to the development of cultural heritage preservation by bridging physics, information management, and education, and is relevant to SDG 4, SDG 9, SDG 11, and SDG 17. Further research is needed to develop Indonesia^s spectral databases, test the application of spectral metadata in libraries and archives, and conduct multisite studies on museums, libraries, and archival institutions Keywords: spectroscopy, cultural heritage, archive, metadata, preservation, Education Share Link | Plain Format | Corresponding Author (Dimas Kurnia Robby)

66	Energy and Environmental Physics	ABS-234
Electrocatalytic Activity of Electrodeposited Trimetallic Ni-Fe-Sn in Ethanol Rinda Mulmeyda (a), Yusmaniar (b), Afrizal (b), Setia Budi (b*) a) The Center for Science Innovation, Arva Building, Jl. RP. Soeroso, Jakarta Pusat 10350, Indonesia b) Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta Timur 13220, Indonesia *setiabudi[at]unj.ac.id Abstract Although platinum exhibits high electrocatalytic activity toward the electrooxidation of ethanol, its high cost and susceptibility to poisoning by CO species have driven the development of non-precious metal-based electrocatalysts as an alternative. A trimetallic electrocatalyst containing Nickel (Ni), Iron (Fe), and Tin (Sn) was prepared via an electrodeposition method and evaluated for the electrooxidation of ethanol. Electrocatalytic activity for ethanol electro-oxidation (EOR) was evaluated using CV, LSV, and EIS in a 1 M KOH and 1 M ethanol solution. The Ni-Fe-Sn electrocatalyst exhibited a lower Tafel slope of 38.42 mV.dec-1, an small Rct value of 2.15 ohm. Furthermore, the sustained activity over 100 cycles CV testing indicate good electrocatalytic performance. Thus, this work reveals the catalytic performance of the new non-noble Ni-Fe-Sn electrocatalysts towards EOR which may provide new ideas to tailor more powerful and novel catalysts in the future. Keywords: electrodeposition, electrocatalyst, ethanol electro-oxidation, Ni-Fe-Sn Share Link | Plain Format | Corresponding Author (Setia Budi)

67	Energy and Environmental Physics	ABS-236
Facile Synthesis and Electrochemical Performance of MnZIF67 for Supercapacitor Applications Ady Frenly Simanullang1, Erna Frida1, Syahrul Humadi 1, Ni Luh Wulan Septiani2, Nazwa Hudaiby3 1. Department of Physics, Faculty of Mathematics and Natural Sciences, Medan, Indonesia 2.Center for Advanced Materials Research (PRMM) - National Research and Innovation Agency (BRIN), Samaun Samaund Minacetable, Jl. Sangkuriang, Dago, Coblong District, Bandung City 40135, Indonesia 3. Master^s Program in Nanotechnology, Graduate School of Multidisciplinary Science and Technology, Institute of Tech-nology in Bandung (ITB), Bandung City, West Jawa Indonesia 40132 5 Abstract The growing demand for sustainable and high-performance energy storage technologies has stimulated extensive research into advanced electrode materials for supercapacitor applications. In this work, a bimetallic cobalt-manganese zeolitic imidazolate framework (CoMn-ZIF) was successfully synthesized via a facile room-temperature co-precipitation method using cobalt and manganese ions coordinated with 2-methylimidazole. X-ray diffraction (XRD) analysis confirmed the successful formation of the crystalline ZIF structure while preserving the characteristic sodalite (SOD) topology after Mn incorporation. Fourier transform infrared (FTIR) spectroscopy verified the coordination bonding between the metal ions and the imidazolate ligands, indicating the integrity of the framework structure. Scanning electron microscopy (SEM) observations revealed a well-defined rhombic dodecahedral morphology with slight particle agglomeration, further confirming the successful synthesis of CoMn-ZIF. Electrochemical performance evaluation in a three-electrode configuration demonstrated quasi-rectangular cyclic voltammetry profiles, indicating an electric double-layer capacitance (EDLC)-dominated charge storage mechanism. The CoMn-ZIF electrode delivered a specific capacitance of 152 F g at a current density of 1 A g and retained approximately 76 Persen of its capacitance when the current density was increased to 10 A g, demonstrating good rate capability. Electrochemical impedance spectroscopy revealed low charge-transfer resistance, facilitating efficient ion transport and charge storage. Furthermore, the electrode exhibited excellent cycling stability, maintaining 106% of its initial capacitance after 5000 charge-discharge cycles, indicating an activation process and remarkable structural robustness during prolonged operation. These results highlight the potential of CoMn-ZIF as a promising electrode material for supercapacitor applications, combining favorable capacitive performance with outstanding long-term stability. Keywords: Supercapacitor- Bimetallic MOFMnZIF67-Electrochemical Performance-Cycling Stability Share Link | Plain Format | Corresponding Author (Ady Frenly Simanullang)

68	Instrumentation and Computational Physics	ABS-1
Judul Tes Haris et all UNJ Abstract Abstract Tes Keywords: Test Share Link | Plain Format | Corresponding Author (Haris Suhendar)

69	Instrumentation and Computational Physics	ABS-8
Real-Time Electric Bicycle Instrumentation: An Arduino Based System for Speed, Current, and Range Monitoring Imam Nursyahied (a*), Aris Sunawar (a), Imam Arif Rahardjo (a), Zaine Ahlin Mardiati (a), Ferry Budhi Susetyo (b), Januar Parlaungan Siregar (c) a) Department of Electrical Engineering Education, Faculty Of Technic, Universitas Negeri Jakarta b) Department of Mechanical Engineering, Faculty Of Technic, Universitas Negeri Jakarta Jl. Rawamangun Muka, RT.11/RW14, Rawamangun, Pulo Gadung, Jakarta Timur, Daerah Khusus Jakarta, 13320 c) Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah 26600 Pekan, Malaysia *imam.nursyahied[at]unj.ac.id Abstract This research aims to produce a speed and battery remaining monitor for electric bicycles based on Arduino Mega 2560, which contributes to the achievement of Sustainable Development Goal 8 on Decent Work and Economic Growth. The method used is Research and Development. The initial stage includes research and literature review to design a specific product. The next stage involves development, effectiveness testing, and design validation, resulting in a tested product ready for widespread use. The test results show that the device is capable of providing accurate speed readings, with an average difference of 3.76% compared to GPS and 1.88% compared to speedometer Cat eye. The current sensor has an average error of 2.56%. The battery capacity readings yield an average error of 1.03% compared to calculations and 0.61% compared to the voltmeter. The distance estimation based on battery capacity shows an average difference of 3.37% compared to calculations and 3.84% compared to speedometer Cat eye. This accuracy demonstrates the effectiveness of the device in monitoring speed, battery capacity, current usage, and distance traveled. This innovation helps improve how energy is used and makes electric bicycles more reliable, better use of resources, and creating business opportunities and good jobs in the growing green transportation industry. Keywords: electricity transportation, electronic monitoring system, SDGs 8 Decent Work and Economic Growth, technological innovation, resource efficiency Share Link | Plain Format | Corresponding Author (Imam Nursyahied)

70	Instrumentation and Computational Physics	ABS-15
CFD Analysis of Herschel-Bulkley Parameter Sensitivity on Pressure Drop in 3D Concrete Printing Nozzle Using OpenFOAM Minsyahril Bukit (a,b*), Mauludi Ariesto Pamungkas (a), Dyonisius J.D.H. Santjojo (a), and Abdurrouf (a) a. Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya, Malang, Indonesia *m_bukit[at]student.ub.ac.id b. Department of Physics, Faculty of Sciences and Engineering, Universitas Nusa Cendana, Kupang, Indonesia Abstract The extrusion of fresh mortar through a converging nozzle in 3D concrete printing (3DCP) involves complex non-Newtonian flow governed by three Herschel-Bulkley (HB) parameters: yield stress (tau0), consistency index (K), and flow behavior index (n). Although these parameters are routinely used in 3DCP simulation, their relative contributions to nozzle pressure drop have not been systematically quantified under varying geometric and flow conditions. This study presents a one-at-a-time (OAT) CFD sensitivity analysis using OpenFOAM 9 and simpleFoam solver, isolating the individual effects of HB parameters on pressure drop across a range of contraction ratios (CR = 2.0-4.5), inlet velocities (0.2-1.2 m/s), and taper angles (15-30 degrees). Simulations were performed on a grid-independent axisymmetric mesh of 3,420 cells (GCI = 2.3%), validated against the exact analytical HB pipe-flow solution. Results confirm that the flow behavior index n is the dominant rheological parameter, producing a 108% variation in pressure drop over n = 0.35-0.55 -- 13x larger than the effect of yield stress tau0 (~8%). The consistency index K ranks second at 54% variation. Geometrically, contraction ratio CR dominates with 475% variation (CR = 2.0-4.5), far exceeding all rheological parameters. This counter-intuitive hierarchy -- where tau0, the conventional 3DCP printability metric, has the weakest influence on extrusion pressure -- provides practical guidance for mortar formulation and nozzle design, suggesting that flow index and contraction ratio are the primary design variables for pressure management in 3DCP systems. Keywords: 3D concrete printing- Herschel-Bulkley- OpenFOAM- sensitivity analysis- pressure drop- nozzle CFD Share Link | Plain Format | Corresponding Author (Minsyahril Bukit)

71	Instrumentation and Computational Physics	ABS-24
Emulating Brown Dwarf Star Cooling: A Surrogate Model for MESA-Generated L(t) Curves Akeyla Rizkyazzahra Vardiny (a*), Dr. Muhamad Irfan Hakim, S.Si., M.Si. (b) a) Astronomy Study Program, FMIPA, Institut Teknologi Bandung, Jl. Ganesa 10, Bandung 40132, Indonesia *akeylavardiny[at]gmail.com b) Astronomy Study Program, FMIPA, Institut Teknologi Bandung, Jl. Ganesa 10, Bandung 40132, Indonesia Abstract Brown dwarfs are considered unique due to their mass range below the minimum mass of hydrogen burning. Hence, they often cool down with age as a consequence of electron degeneracy pressure, which will result in the failure of nuclear fusion in the stellar core. The degeneracy of the mass, age, and metallicity-where a single luminosity can correspond to multiple combinations of mass, age, and composition-complicates the interpretation of observational data from facilities such as JWST. This paper demonstrates surrogate models that emulate MESA (Modules for Experiments in Stellar Astrophysics) calculations of brown dwarf cooling curves, predicting the luminosity-age relation L(t, M, [Fe/H]) from 1 Myr to 1 Gyr (the full range of the MESA brown dwarf simulation). The training set is constructed from a real MESA brown dwarf model (20 M_J, [Fe/H] = -1.0, evolved to 1 Gyr), with physically motivated perturbations across mass (13-75 M_J) and metallicity ([Fe/H] = -0.5 to +0.5). Unlike conventional approaches that interpret the cooling curves as functional outputs, we explicitly model age as an independent input feature, enabling individual age predictions without re-running the entire cooling curve. We train and compare three surrogate methods: a Gaussian Process regressor with a radial basis function kernel, a Random Forest with 300 trees, and an Ensemble model combining GP and RF predictions (70% GP, 30% RF). We find that with small training sets (n=600), Random Forest unexpectedly outperforms Gaussian Process (MAE = 0.032 vs 0.236), contrary to common expectations for smooth regression tasks. The Random Forest achieves the best performance with a mean absolute error of 0.032 in log_10(L/L_Sun) (R^2 = 0.9997), while the Gaussian Process yields MAE = 0.236 (R^2 = 0.989). The superior performance of the Random Forest is attributed to its effectiveness with the relatively small training set (600 samples). Group-based cross-validation prevents data leakage, confirming model robustness. Keywords: Brown dwarfs - methods: numerical - stars: evolution - stars: low-mass - machine learning - surrogate modeling Share Link | Plain Format | Corresponding Author (Akeyla Rizkyazzahra Vardiny)

72	Instrumentation and Computational Physics	ABS-32
Effect of Sampling Hose Length Variation on CO, HC Emission, and Exhaust Temperature Measurement in Motor Vehicles Siti Shofiah (a*), Arief Novianto (a), Chairunisa Tenia Putri (a), Langgeng Asmoro (b,c), Muflihatun (d) a) Diploma III Teknologi Otomotif, Politeknik Keselamatan Transportasi Jalan, Jl. Abdul Syukur No.17, Margadana, Kec. Margadana, Kota Tegal, Jawa Tengah 52143, Indonesia b) Teknologi Rekayasa Otomotif, Politeknik Keselamatan Transportasi Jalan, Jl. Abdul Syukur No.17, Margadana, Kec. Margadana, Kota Tegal, Jawa Tengah 52143, Indonesia c) Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Teknologi Bandung, Jl. Ganesha No.10, Lb. Siliwangi, Kecamatan Coblong, Kota Bandung, Jawa Barat 40132, Indonesia d) Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Jenderal Soedirman, Jl. DR. Soeparno No.61, Karang Bawang, Karangwangkal, Kec. Purwokerto Utara, Kabupaten Banyumas, Jawa Tengah 53122, Indonesia *sitishofiah[at]pktj.ac.id Abstract Accurate measurement of exhaust gas emissions is fundamental to road vehicle safety compliance and environmental regulation. A key question for practical testing infrastructure is whether the physical length of the sampling hose connecting the vehicle^s exhaust pipe to the gas analyzer alters the measured concentrations of carbon monoxide (CO), hydrocarbons (HC), and exhaust temperature. This study investigated the effect of five hose length variants (2, 4, 6, 8, and 10 m) on these three emission parameters under controlled laboratory idle conditions, applying simple linear regression and normality diagnostics (Kolmogorov Smirnov and Shapiro Wilk). Physics based reasoning anchored in residence time analysis, Reynolds fluid flow theory, and the Hagen Poiseuille pressure-drop equation frames the experimental findings. Across all parameters and all trials, the coefficient of determination remained below 11% (R^2 < 0.11) and all p-values exceeded 0.05, confirming that the null hypothesis no significant effect of hose length in the 2-10 m range is retained. These results differ from prior studies on CO2/H2O analyzers and natural-gas pipelines, where hose length showed significant influence- the contrast is explained by the higher molecular inertness of automotive CO/HC, the lower adsorption affinity of these species compared with polar gases, and the relatively short transit times at typical sampling-pump flow rates. The findings provide practical guidance for emission-testing facility design: hose lengths between 2 and 10 m can be chosen on ergonomic or architectural grounds without compromising measurement validity. Keywords: CO/HC emission measurement- sampling hose length- exhaust gas analysis- residence time- Hagen-Poiseuille- vehicle emission testing- fluid dynamics- regression analysis Share Link | Plain Format | Corresponding Author (SITI SHOFIAH)

73	Instrumentation and Computational Physics	ABS-40
Uncertainty-Aware Molecular Dynamics Analysis of Plasma-Inspired Lignocellulose-CSH Interfacial Adhesion Minsyahril Bukit (1,2,a), Mauludi Ariesto Pamungkas (1), Dionysius Joseph Djoko Herry Santjojo (1), and Abdurrouf (1) 1 Department of Physics, Universitas Brawijaya, Malang 65145, Indonesia 2 Department of Physics, Faculty of Science and Engineering, Universitas Nusa Cendana, Kupang, Indonesia Abstract This study presents an uncertainty-aware molecular dynamics analysis of plasma-inspired lignocellulose-calcium silicate hydrate (CSH) interfacial adhesion. We propose a replica-level workflow to evaluate whether interaction-energy trends remain reproducible across independent velocity seeds rather than relying on a single-trajectory interpretation. Cellulose, hemicellulose, and lignin fragments were simulated near a CSH tobermorite surface under pristine, Plasma5, Plasma10, and Plasma15 nominal modification labels. These labels represent increasing numbers of charge-modified sites and do not denote calibrated experimental plasma-treatment durations. A total of 36 independent-seed simulations were completed, consisting of three lignocellulosic components, four nominal modification levels, and three velocity seeds. Seed-level mean interaction energies were calculated from the second half of each trajectory and then analyzed using replica-level statistics, relative strengthening, robustness classification, and exploratory ANOVA-Tukey testing. The results showed component-specific responses. Cellulose exhibited the strongest pristine interaction energy (-86.71 +/- 0.38 kcal/mol) and only moderate strengthening at Plasma15 (+5.92%) with relatively high seed-level variability. Hemicellulose showed robust strengthening at Plasma10 and Plasma15, with relative increases of approximately 13.5%. Lignin showed the clearest high-modification response, with Plasma15 producing -62.68 +/- 2.53 kcal/mol and 15.04% strengthening relative to pristine. Exploratory ANOVA confirmed a significant modification effect only for lignin. We suggest that independent-seed uncertainty analysis provides a more conservative basis for interpreting plasma-inspired lignocellulose-CSH adhesion. Keywords: molecular dynamics- calcium silicate hydrate- lignocellulose- plasma-inspired modification- interaction energy- uncertainty analysis Share Link | Plain Format | Corresponding Author (Minsyahril Bukit)

74	Instrumentation and Computational Physics	ABS-48
Design and Performance Evaluation of a Portable Arduino-Based Cup Anemometer with Variable Rotor Geometry Hadi Nasbey, Shantyka Virgita Aldina, and Umiatin Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Jakarta, Indonesia Abstract Wind speed measurement plays a critical role in meteorology, environmental monitoring, aviation systems, and renewable wind energy applications. Conventional cup anemometers are widely used due to their simplicity and reliability- however, studies investigating the combined influence of rotor geometry parameters on measurement performance remain limited. This study proposes a low-cost modular cup anemometer system based on Arduino Uno integrated with a Photointerrupter H92B4 for real-time wind speed measurement. The novelty of this work lies in the development of a detachable rotor mechanism that enables interchangeable testing of multiple rotor geometries, including variations in arm number (three-arm and four-arm configurations) and cup shape (hemispherical and conical designs). Experimental evaluation was conducted under controlled laboratory conditions using a blower and wind tunnel system to ensure stable airflow conditions. The developed instrument was characterized through rotational calibration, wind speed validation, relative error analysis, and sensitivity evaluation against a reference anemometer. Experimental results showed that the three-arm conical rotor achieved the best overall performance with the lowest relative error of 0.47%, while the four-arm hemispherical rotor produced the highest error of 1.27%. The three-arm hemispherical rotor exhibited the highest sensitivity value of 0.6359, followed by the four-arm conical rotor (0.5047), three-arm conical rotor (0.4841), and four-arm hemispherical rotor (0.474). The findings demonstrate that rotor geometry significantly influences anemometer performance and highlight the potential of modular low-cost wind sensing systems for portable atmospheric monitoring and small-scale engineering applications. Keywords: cup anemometer- wind speed measurement- Arduino Uno- photointerrupter sensor- rotor geometry Share Link | Plain Format | Corresponding Author (hadi nasbey)

75	Instrumentation and Computational Physics	ABS-50
Development of a Biolectrical Impedance Analyzer Prototype for Body Fat Mass Assesment Azzahra Khairunisa(a), Annisa Dian Maharatri(a), Sheva Dwi Intan Yulied(a), Umiatin Umiatin(a), Taryudi Taryudi(b), Bedy Purnama(c), Rista Putri Nur Ifa(d), Muhammad Abidin(d) (a) Physics Study Programme, Faculty of Mathematics and Natural Science, Jakarta State University, Jakarta, Indonesia, 13220 (b) Electrical Engineering Department, Universitas Negeri Jakarta, Jakarta State University, Jakarta, Indonesia, 13220 (c) Center of Excellence Artificial Intelligence for Learning and Optimization, Telkom University, Bandung, Indonesia, 40252 (d) Frenmed Inovasi Bangsa, Depok, West Java, Indonesia, 16414. Abstract Obesity is a medical condition characterized by the excessive accumulation of body fat tissue. It is a risk factor for various diseases, including stroke, cardiovascular disorders, cancer, and diabetes, which contribute to high mortality rates. Measurement of body fat mass is critical in assessing individual health risks. The Bioelectrical Impedance Analysis (BIA) is widely used method for estimating body fat mass (FM), fat-free mass (FFM), and body fat percentage (BF) by transmitting a low alternating electrical current at a specific frequency through the body and measuring the resulting voltage to determine body impedance. This impedance value is subsequently used to analyze body fat composition. The present study aims to develop a Bioelectrical Impedance Analyzer (BIA) prototype using the AD5933 module and an Arduino microcontroller. Frequency optimization (25 kHz, 50 kHz, and 100 kHz) as well as measurement method optimization (hand-to-hand, foot-to-foot, and hand-to-foot) were performed. The findings indicate that body fat percentage measurements using the hand-to-hand, foot-to-foot, and hand-to-foot methods at 50 kHz demonstrated greater stability compared to those obtained at 25 kHz and 100 kHz. Furthermore, at 50 kHz, the hand-to-hand method achieved an accuracy of 96.40%, the foot-to-foot method 97.71%, and the hand-to-foot method 97.96%. In conclusion, the development of a BIA prototype demonstrated that the hand-to-foot method at 50 kHz provided most optimal performance for body fat percentage measurement. Keywords: Bioelectrical Impedance Analysis (BIA), body fat percentage, AD5933 module Share Link | Plain Format | Corresponding Author (Rista Putri Nur Ifa)

76	Instrumentation and Computational Physics	ABS-56
Load Cell Based Dynamic Characterization and Adaptive PWM Dosing for Precision Electrical Conductivity Regulation in a Nutrient Mixing Tank Rizki Pratama Putra Load Cell Based Dynamic Characterization and Adaptive PWM Dosing for Precision Electrical Conductivity Regulation in a Nutrient Mixing Tank Abstract Setting appropriate nutrient concentrations in a hydroponic system requires precise dosing and rapid homogenization to achieve the desired electrical conductivity (EC) without exceeding limits. However, dosing pumps, especially the peristaltic type, usually exhibit nonlinear flow characteristics, dead zones at low input voltages, and delays in mixing dynamics, which limit the performance of conventional feedback control. This study presents load cell-based dynamic characterization and adaptive PWM dosing strategy for precision EC regulation in small scale hydroponic mixing tanks. The system tested consisted of a 12 V peristaltic dosing pump, a load cell for flow characterization, an EC sensor for monitoring electrical conductivity, and a mixing tank with a marine propeller type agitator, baffle. Test results show that the minimum voltage of the dosing pump is 9 V RMS, with flow rates ranging from 21.4 to 78.6 mL per minute.The pump response is approximated by a first-order dynamic model with a time constant of 0.83 seconds and a steady-state flow repeatability error below 3.5 percent. To reduce excess EC caused by mixing delays or excess dosing, a dynamic PWM pulse delivery strategy is provided with dynamic values &#8203-&#8203-in a single step based on the EC sensor feedback results. Based on transient sensor EC measurements, it was found that for method 1 with constant step PWM, the homogenization time was around 12-18 seconds at an agitator speed of 1100 rpm in a 5 L mixing tank with EC overshot occurring 1 to 3 times. while for method 2, adaptive PWM is applied and with the same tank conditions the homogenization time is achieved around 9-10 seconds without EC overshot from the set value range. These findings demonstrate that adaptive PWM dosing with the integration of load cell-based dosing pump characteristics provides a promising instrumentation framework for high-precision nutrient regulation that reduces the potential for overshot and cyclic dosing in hydroponic systems Keywords: hydroponic, electrical conductivity, load cell, peristaltic pump, adaptive dosing, dynamic response Share Link | Plain Format | Corresponding Author (rizki pratama putra)

77	Instrumentation and Computational Physics	ABS-57
Design and Development of an Automation System for Environmental Control and Automatic Irrigation in Aeroponics Ahmad Zatnika Purwalaksana (a*), Hashifah Dewianty Putri (a), Adhi Kusumadjati (b) a) Department of Physics, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia *ahmadzatnikap[at]unj.ac.id b) Physics Departement, King Fahd University of Petroleum and Minerals, Academic Belt Road, Dhahran 31261, Kingdom of Saudi Arabia Abstract Conventional urban agriculture faces significant challenges, including limited land availability and inefficient water usage. Aeroponics provides a soilless alternative through nutrient misting but demands precise environmental regulation. This research develops an Arduino Uno-based automated aeroponic system designed to monitor and regulate air temperature, humidity, light intensity, and water levels. The system integrates DHT22, BH1750, and HC-SR04 sensors with a microcontroller and LCD for real-time monitoring and automated control. Performance evaluations indicated high sensor reliability. The DHT22 recorded errors of 0.42% for temperature and 1.95% for humidity measurements, the HC-SR04 achieved 0.92% error in water level measurements, and the BH1750 exhibited light intensity measurement errors ranging from 3.34%. Comparative growth analysis shows that water spinach (Ipomoea aquatica) grown in the automated system significantly outperformed the conventional setup in terms of stem height, leaf dimensions, and leaf count. These findings suggest that the proposed system is a practical and efficient solution for small-scale and household aeroponic cultivation. Keywords: Aeroponics, Automated control system, Arduino Uno, Environmental monitoring Share Link | Plain Format | Corresponding Author (Ahmad Zatnika Purwalaksana)

78	Instrumentation and Computational Physics	ABS-59
Detection of Iron (Fe) Concentration in Water Using Light Absorbance-Based OPT101 Photodiode Sensor Widyaningrum Indrasari (a*), An Nisa Nurul Fitri (a), Dewi Muliyati (b) a) Department of Physics, Faculty of Mathematics and Sciences, Universitas Negeri Jakarta, Jakarta 13220, Indonesia *widyaningrum-indrasari[at]unj.ac.id b) Faculty of Science and Engineering, University of Groningen, Groningen 9747 AG, The Netherlands Abstract Water contaminated with heavy metals, especially iron (Fe), can have adverse effects on health and the environment. This research developed an optical sensor-based Fe concentration detection system in water with the principle of light absorbance. The system is designed using an ESP32 microcontroller, OPT101 photodiode sensor, and OLED display as a data viewer, and features a WebSocket connection for real-time data transmission to local websites. The light source uses a green HPL LED (515 nm) that corresponds to the peak absorption of the Fe-fenantrolin complex. The measurement mechanism refers to the Lambert-Beer Law by comparing the intensity of the blank light and the sample. The test results showed that the system was able to detect Fe in the range of 0.01-10 ppm with an average measurement error of 6.36%. Testing on samples of PAM water, groundwater, and drinking water showed that Fe levels were below the threshold of 0.3 ppm in accordance with the Minister of Health Regulation No. 32 of 2017. The developed system has the potential to be an IoT-integrated water quality analysis tool, thus supporting efficient and real-time monitoring of water pollution, especially in areas with limited laboratory access. Keywords: OPT101 Photodiode, Light Absorbance, Iron (Fe), phenantrolin, IoT Share Link | Plain Format | Corresponding Author (Purwa Widya)

79	Instrumentation and Computational Physics	ABS-60
Design and Implementation of a Real-Time Aquaponics Automation System for Water Quality Management Ahmad Zatnika Purwalaksana (a*), Bedy Purnama (b), Sayyid Abdul Matin (a), Adhi Kusumadjati(c) a) Department of Physics, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta 13220, Indonesia *ahmadzatnikap[at]unj.ac.id b) Center of Excellence Artificial Intelligence for Learning and Optimization, Telkom University, Bandung, Indonesia, 40252 c) Physics Departement, King Fahd University of Petroleum and Minerals, Academic Belt Road, Dhahran 31261, Kingdom of Saudi Arabia Abstract Rapid population growth in urban areas such as Jakarta has led to a decrease in green open spaces and environmental degradation. Aquaponics emerges as a viable urban farming solution- however, its success relies heavily on precise water quality monitoring to ensure optimal plant growth and fish health. This research aims to develop a microcontroller-based automated aquaponics system for real-time water quality control and fish maintenance. The system integrates a DS18B20 temperature sensor, a pH-4502C sensor, and an MQ-135 gas sensor, utilizing actuators such as water pumps, peristaltic pumps, and compressors to maintain ecosystem stability. Key hardware components include an Arduino Uno and a Nextion HMI LCD for real-time data visualization. The development follows the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model, with sensor validity confirmed through calibration and statistical analysis. The system algorithm is programmed to activate cooling mechanisms when temperatures reach at least 23 degrees Celsius or exceed 30 degrees Celsius, and to initiate water circulation when pH levels fall outside the range of 6.0 to 7.0. Results demonstrate high sensor accuracy and the capability of the MQ-135 sensor to monitor gas at three distinct points. The system proves stable for long-term operation and serves as an efficient prototype for small-scale automated aquaponics systems. Keywords: Aquaponics, Automation, Microcontroller, Real-time Monitoring, Water Quality Share Link | Plain Format | Corresponding Author (Ahmad Zatnika Purwalaksana)

80	Instrumentation and Computational Physics	ABS-93
Measurement Fidelity in AI-Mediated Physics Experimentation: A Systematic Review Dea Nur Hafifah1, Arita Marini1, Yinghuei Chen2 1Faculty of Basic Education, Universitas Negeri Jakarta, 13220, Jakarta, Indonesia 2College of Humanities and Social Sciences, Asia University, Taichung, 41354, Taiwan Abstract Artificial intelligence (AI) is increasingly integrated into experimental physics for detector reconstruction, signal interpretation, and automated measurement processing. However, the extent to which AI-mediated systems preserve measurement fidelity during automated experimental interpretation remains unclear. This study systematically reviews how measurement fidelity is evaluated and preserved within AI-mediated physics experimentation systems. Using the PRISMA 2020 framework, literature published between 2020 and 2025 was retrieved from Scopus, Web of Science, and IEEE Xplore. Following screening and eligibility assessment, thirteen studies were included in the final qualitative synthesis. The studies were analyzed according to measurement context, fidelity dimension, validation method, and key limitation. Results show that fidelity was primarily evaluated through detector benchmarking, reconstruction consistency, uncertainty calibration, simulation-to-experiment comparison, and validation against independent reference measurements. Five recurring fidelity dimensions were identified: reconstruction, detector, simulation, uncertainty, and detector-response fidelity. Persistent challenges included simulation-to-experiment mismatch, detector-boundary effects, uncertainty instability, and incomplete representation of physical processes. The review concludes that measurement fidelity remains a central challenge in AI-mediated physics experimentation, highlighting the need for more experimentally grounded validation strategies to support reliable AI-assisted interpretation in increasingly automated experimental environments. Keywords: measurement fidelity- AI-mediated experimentation- experimental validation- automated measurement interpretation- applied physics Share Link | Plain Format | Corresponding Author (Dea Nur Hafifah)

81	Instrumentation and Computational Physics	ABS-106
Algorithmic Derivation of Surface Plasmon Polariton Dispersion in Weyl Semimetals with Multiple Weyl Node Pairs Cindy Agnitya Pramudita1, Edi Suprayoga2, Muhammad Aziz Majidi1 1 Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok 16424, Indonesia *cindy.agnitya[at]sci.ui.ac.id 2 Research Center for Quantum Physics, National Research and Innovation Agency (BRIN), South Tangerang 15314, Indonesia Abstract Weyl semimetals have attracted significant attention due to their unique topological properties and unconventional electromagnetic responses arising from the presence of Weyl nodes. These features make them promising candidates for plasmonic applications, particularly in the study of surface plasmon polaritons (SPPs). In this work, we investigate the dispersion relation of SPPs in Weyl semimetals by incorporating a more realistic model involving multiple pairs of Weyl nodes. Starting from Maxwell^s equations and applying appropriate boundary conditions at the interface, the SPP dispersion relation is derived analytically. Unlike conventional approaches that consider only a single pair of Weyl nodes, this study includes the cumulative contribution of twelve pairs of nodes through a summation framework, leading to a modified electromagnetic response. Furthermore, a simplified band structure model is constructed to visualize the distribution of Weyl nodes and to examine their influence on the plasmonic behavior. The results show that the multi-node contribution significantly affects the dispersion characteristics of SPPs, indicating the importance of considering realistic band structures in topological plasmonic systems. This study provides a more comprehensive understanding of SPP propagation in Weyl semimetals and may contribute to the development of advanced plasmonic and optoelectronic devices. Keywords: Weyl semimetals, surface plasmon polaritons, Weyl nodes Share Link | Plain Format | Corresponding Author (Cindy Agnitya Pramudita)

82	Instrumentation and Computational Physics	ABS-107
MULTIDOMAIN WAVEFORM ANALYSIS FOR SOH-PROXY DEVELOPMENT IN SEISMIC DIGITIZERS BASED ON MINISEED DATA USING ANOMALY DETECTION AND PROXY-PPSD Umara Firman Rizi D 1,a), Imam Fachruddin 1), Santoso Soekirno 1), Djati Handoko 1), Benyamin Heryanto Rusanto 2), I Putu Putra Wira Sarwa Yudha 3), Martarizal 1,b) Please Just Try to Submit This Sample Abstract Universitas Indonesia Abstract Seismic digitizers generally do not provide internal telemetry for continuous monitoring of instrumental health conditions. As a result, degradation is often identified only after waveform quality deteriorates or instrument failure occurs. This study proposes DigiHealth, a passive waveform-based predictive maintenance framework that utilizes MiniSEED data to construct a State of Health Proxy (SOH-Proxy) for seismic digitizers without requiring additional sensors or hardware telemetry. The framework performs waveform preprocessing, temporal segmentation, multidomain feature extraction, and anomaly detection using a robust Median Absolute Deviation (MAD) approach. Spectral stability is evaluated using a Proxy-Probabilistic Power Spectral Density (Proxy-PPSD) representation derived from waveform behavior. The anomaly score is then transformed into a continuous SOH-Proxy index to represent instrumental degradation. Experimental results at station SWCM-SHZ show that anomaly scores increased progressively before digitizer replacement, followed by a significant decrease in SOH-Proxy values toward critical conditions. After replacement, anomaly scores decreased while SOH-Proxy values increased, indicating recovery of instrumental stability. The proposed framework also distinguishes no-data conditions from actual instrument failure without replacing waveform gaps with artificial zero values. These results demonstrate that MiniSEED waveform data can be utilized not only for seismic-event analysis but also as passive indicators of digitizer health to support predictive maintenance in seismic monitoring networks. Keywords: MiniSEED, SOH-Proxy, Predictive Maintenance, Proxy-PPSD, Seismic Digitizer, Anomaly DetectionPlease Just Try to Submit This Sample Abstract Share Link | Plain Format | Corresponding Author (Umara Firman Rizi D)

83	Instrumentation and Computational Physics	ABS-111
Performance Evaluation of Vertical Auger Extrusion System for Natural Fiber Mortar Composite in 3D Printing Concrete (3DPC) Danang Murdiyanto, Agus Naba, Dionysius J. D. H. Santjojo, Didik Rahadi Santoso Brawijaya University, Malang Abstract The development of 3D Printing Concrete (3DPC) technology requires a stable, controllable extrusion system capable of handling high-viscosity cementitious composites. This study presents the design and experimental evaluation of a vertical auger-based extrusion system for natural fiber mortar composites in construction-scale additive manufacturing applications. Two material compositions were investigated, namely mortar composite without natural fiber reinforcement and mortar composite reinforced with natural fibers The extrusion system employed a vertical screw mechanism with a nozzle inclination angle of 75 and three rotational speeds of 20, 40, and 60 RPM. The experimental investigation focused on evaluating motor power characteristics under idle and extrusion loading conditions, extrusion homogeneity, and buildability performance of printed materials. Electrical power consumption was analyzed using voltage and current measurements during extrusion. The results indicate that increasing screw rotational speed significantly increased motor power consumption and extrusion resistance. Furthermore, incorporating natural fibers increased internal friction and flow instability within the extrusion chamber, leading to higher energy demand compared with plain mortar mixtures. Nevertheless, the developed vertical auger system demonstrated stable material conveying capability and acceptable buildability performance for both material compositions. This study provides an experimental foundation for the future development of closed-loop extrusion control and process optimization in sustainable 3D concrete printing applications using natural fiber reinforced cementitious composites. Keywords: 3D printing concrete (3DPC)- Vertical auger extrusion- Mortar composite- natural fiber- extrusion power- buildability Share Link | Plain Format | Corresponding Author (Danang Murdiyanto)

84	Instrumentation and Computational Physics	ABS-121
Mobile IoT-Based System for Urban Air Quality Spatial Mapping Using Bicycle-Mounted Sensor Platform Ichsan Hardyanto(a), Husin Alatas(b), Irzaman (c*) (a) PT. Has Environmental (b) Theoretical Physics Division, Department of Physics, Faculty of Mathematics and Natural Science, IPB University, Bogor, Indonesia (c) Applied Physics Division, Department of Physics, Faculty of Mathematics and Natural Science, IPB University, Bogor, Indonesia * irzaman[at]apps.ipb.ac.id Abstract Urban air quality monitoring based on fixed stations provides limited spatial resolution, failing to capture intra-urban pollution gradients driven by traffic dynamics, land use variation, and local meteorological conditions. This study presents the development and field deployment of a mobile, low-cost air quality monitoring system designed for georeferenced spatial mapping of CO2, PM2.5, and PM10 concentrations in urban environments. The system integrates a Winsen ZH19 NDIR CO2 sensor, Nova SDS011 optical particle counter, GPS module, and BME280 meteorological sensor (temperature, humidity, atmospheric pressure), controlled by an ESP32 microcontroller with real-time data transmission via WiFi to a self-hosted Grafana dashboard. The device was mounted on a bicycle and deployed across multiple transect routes covering diverse urban zones including commercial, residential, and high-traffic areas in Bogor City, Indonesia, with measurements conducted across varying times of day to capture diurnal pollution patterns. The bicycle-mounted platform enables flexible, low-cost spatial data acquisition without the infrastructural constraints of fixed monitoring stations, offering a complementary approach to national air quality index (ISPU) measurements. Multiple repeated transects along overlapping routes were conducted to assess measurement reproducibility and spatial consistency. This work demonstrates the feasibility of bicycle-based mobile sensing as an affordable and scalable methodology for high-resolution urban air quality mapping in Indonesian cities. Keywords: Mobile air quality monitoring | Urban spatial mapping, Bicycle-mounted sensor, Low-cost IoT sensing, Particulate matter CO2 Share Link | Plain Format | Corresponding Author (Ichsan Hardyanto)

85	Instrumentation and Computational Physics	ABS-129
Soft Magnetic Ribbon Vitrovac 6025F Coated on LVDT Core for Sensitivity Enhancement Lazuardi Umar, Yuliansyah Bahari Simanjuntak, Rahmondia Nanda Setiadi, Adriel Fadhlurrahman Lazuardi University of Riau Abstract The study of improvement of a Linear Variable Differential Transformer (LVDT) sensor is presented in this paper. The LVDT sensor is a non-contacting position sensor used to measure linear displacement pressure, force, level, flow, and other physical quantities in engineering applications and industries. The commercially available LVDT in the market has a weakness on the symmetry phase due to unbalanced secondary coils, as well as on the limited sensitivity. In this study, the sensitivity of the LVDT sensor was increased using a soft magnetic material Vitrovac 6025F with a high permeability value and a phase adjustment circuit. The sensitivity produced by the LVDT sensor with the soft magnetic material was increased by 84.21% compared to without using the material. The phase adjustment of the electronic circuit provided an increasing maximum output of 48.48 mV per mm with -10 deg phase shift when an excitation signal with an amplitude of 1.0 V and frequency of 6 kHz was applied. COMSOL simulations were carried out for data validation of the soft magnetic material coating on the LVDT core, which showed an increase of generated magnetic field. Keywords: Please Just Try to Submit This Sample Abstract Share Link | Plain Format | Corresponding Author (Lazuardi Lazuardi)

86	Instrumentation and Computational Physics	ABS-134
DEVELOPMENT OF THE FINITE DIFFERENCE METHOD FOR VORTICITY FLOW SIMULATION USING THE FOURTH-ORDER RUNGE-KUTTA METHOD Aldiansyah Anugrah Ramadhan (a*), Ikha Magdalena (a), Hakim Luthfi Malasan (a), Acep Purqon (a) (a) Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Jalan Ganesha 10, Bandung 40132, Indonesia *aldiansyahaldi621[at]gmail.com Abstract The finite difference method is a numerical method to solve partial differential equations. The Forward Time Centered Space (FTCS) is an explicit finite difference method employed to solve parabolic partial differential equations. However, the FTCS scheme has a strict stability condition, requiring a very small time step. To address this limitation, this study integrates the centered difference scheme with fourth-order Runge-Kutta method (RK4), yielding the RK4-CS scheme. The RK4-CS scheme is applied to simulate vorticity flow in a lid-driven cavity system. Validation is conducted by comparing the flow structures and computing error values using the Mean Absolute Percentage Error (MAPE) with the results from prior studies. The simulation results show that the vorticity flow structures obtained from the RK4-CS scheme are consistent with the results of prior studies. The MAPE values obtained from the RK4-CS scheme with time steps exceeding the stability limit of the FTCS scheme under the laminar regime is 2.3013%. Keywords: Finite Difference Method, Fourth-Order Runge-Kutta Method, Lid-Driven Cavity, Stability Analysis, Vorticity Flow. Share Link | Plain Format | Corresponding Author (Aldiansyah Anugrah Ramadhan)

87	Instrumentation and Computational Physics	ABS-159
IoT-Based Basketball Player Stamina Monitoring Syufrijal Syufrijal, Heri Firmansyah, Azis Styo Nughroho Universitas Negeri Jakarta Abstract Modern basketball requires high-intensity physical performance, making stamina one of the key factors influencing athletes^ achievements. A decline in stamina can negatively affect concentration, coordination, and overall player performance, while also increasing the risk of injury due to uncontrolled training loads. Despite its importance, monitoring athletes^ physical condition is still often carried out manually and subjectively through visual observations and verbal reports. This makes it difficult to guarantee the objectivity and accuracy of the collected data. Therefore, this study aims to design a real-time stamina monitoring system for basketball players using Internet of Things (IoT) technology based on the ESP8266 microcontroller. The research method applied a prototype engineering approach through iterative development, starting from initial design, testing, and improvement based on user evaluation. The MAX30102 sensor is employed to measure heart rate and oxygen saturation, while the MPU6050 sensor detects running speed. Data are transmitted via Wi-Fi to a MySQL-based web dashboard. The results show that the system is capable of continuously recording physiological data and providing informative visualizations. Testing indicated that the system responds stably, with data accuracy sufficient for use as a monitoring aid during training sessions. Trials on five players demonstrated that the system could classify stamina into three categories (fit, tired, needs rest) with an average accuracy of 96.8%. A user evaluation (n = 7) yielded a score of 4.39 out of 5.00 (excellent). The system effectively assists coaches in making training decisions and reduces the risk of injury due to overtraining. Keywords: IoT, Stamina Monitoring, ESP8266, MAX30102, MPU6050, Basketball Share Link | Plain Format | Corresponding Author (syufrijal syufrijal)

88	Instrumentation and Computational Physics	ABS-172
Enhancing Void and Contour Image Quality in Muon Tomography Using GEANT4 Simulations and ResUNet Architecture Mutia Delina(a)*, Parulian Renaldi(a), and Janaka Adassuriya (b) (a)Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Jl. Rawamangun Muka, Jakarta Timur 13220, Indonesia *mutia_delina[at]unj.ac.id (b)Astronomy and Space Science Unit, Department of Physics, University of Colombo, Sri Lanka Abstract This study proposed to enhance the low-quality profile produced by short-duration muon tomography image processes by conducting image segmentation and masking with Residual UNet Architecture. Muon tomography images the void and contour of an object once a muon cosmic ray passes through the object. Unfortunately, muon tomography still has several disadvantages today, such as a big image needs a long duration of image process. Meanwhile, a short-duration image process will generate a low- quality profile. In the process, the dataset was generated from GEANT4. The procedures were annotating the image using a brush to get perfect pixels, resizing the images from 112 pixels to 256 pixels, training the image with Kaggle Notebook, predicting the results, and then comparing the prediction results to existing ground truth with a confusion matrix. The comparison results showed that the prediction image accuracy with Residual UNet Architecture was 99,7%, close to the ground truth image. Therefore, the Residual UNet Architecture has successfully generated high-accuracy tomography image results. Keywords: Muon Tomography, GEANT4 Simulations, ResUNet Architecture Share Link | Plain Format | Corresponding Author (Mutia Delina)

89	Instrumentation and Computational Physics	ABS-180
Embedded AI System for Road Nail Detection and Transportation Safety Mutia Delina (a)*, Haris Suhendar (a), Van-Huy Pham (b,c), and Immanuella Senja Dwi Febriani (a) (a) Physics Department, Faculty of Mathematics and Sciences, Universitas Negeri Jakarta, Jl Rawamangun Muka, Jakarta Timur 13220, Indonesia (b) Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, 700000, Vietnam (c) Faculty of Technology, University of Management and Technology in Ho Chi Minh City, Ho Chi Minh City, Vietnam *mutia_delina[at]unj.ac.id Abstract Road safety and infrastructure maintenance are critical aspects of modern transportation systems to support mobility and protect road users. One major challenge is presence of nails on roads, which can cause tire damage, traffic disruption, and accidents. This study proposes a road nail detection system using digital image processing based on the YOLOv4-tiny algorithm. The model demonstrated promising detection performance, with the loss value decreasing to 0.2876 and the mean Average Precision (mAP) reaching 70% at the 5400th iteration. Although a decline in mAP after this iteration indicated potential overfitting, the model was generally capable of recognizing nail objects effectively within the training dataset. Performance evaluation showed an Average Precision (AP) of 90.87% for the ^nail^ class, with 394 true positives and 32 false positives, indicating strong detection capability. Additional metrics, including 85% precision, 82% recall, 83% F1-score, and an average Intersection over Union (IoU) of 67.17%, indicate that the system performs reasonably well. The proposed system has potential applications in preventing tire punctures and improving road safety. Furthermore, this research potentially supports highway patrol officers and road maintenance authorities in monitoring road conditions more efficiently by enabling early detection and rapid removal of hazardous objects such as nails. Keywords: Nail, YOLOv4-Tiny, safety road, AI Share Link | Plain Format | Corresponding Author (Mutia Delina)

90	Instrumentation and Computational Physics	ABS-191
Performance Evaluation of the Hailo-8L AI Kit for Seismic Signal Denoising Model Inference on the Raspberry Pi 5 Antonia Indriyani Juniar (1a), Ahmad Kadarisman (1,2) , Djati Handoko (1), Martarizal (1,b*) 1 Department of Physics Faculty of Mathematics and Natural Sciences, Universitas Indonesia 2 Direktorat Instrumentasi dan Kalibrasi, BMKG, Jl. Angkasa I/2 Kemayoran - Jakarta, Indonesia Email: a) antonia.indriyani[at]ui.ac.id , b) martarizal[at]sci.ui.ac.id* *Corresponding Author Abstract Real-time seismic monitoring in urban and remote environments is increasingly challenged by strong anthropogenic noise and limited computational resources at field stations. Although deep learning-based seismic denoising methods have demonstrated promising performance, their deployment on low-power edge AI platforms for continuous onsite monitoring remains insufficiently explored. This study investigates the feasibility of implementing a Conv2D-based Denoising Autoencoder (DAE) for real-time seismic signal denoising on a Raspberry Pi 5 integrated with the Hailo-8L AI accelerator. The model was trained using synthetic noise injection on seismic waveform data from the CIKJI station to generate noisy-clean signal pairs. The deployment pipeline included signal preprocessing, Conv1D-to-Conv2D adaptation, ONNX conversion, and INT8 quantization into the Hailo Execution Format (HEF). Experimental evaluation on 21,598 seismic windows demonstrated that the Hailo INT8 implementation achieved a Pearson correlation of 0.9645 and an SNR of 14.95 dB, compared to 0.9727 and 17.08 dB obtained by CPU FP32 inference, respectively. Despite a modest degradation in denoising accuracy, the Hailo-8L significantly reduced CPU utilization from 48.9% to 12.8% and maintained stable sub-millisecond inference latency during 24-hour simulated streaming tests. These results demonstrate that edge AI accelerators provide a practical tradeoff between denoising performance and computational efficiency, supporting the development of low-power real-time seismic monitoring systems for onsite deployment in resource-constrained environments. Keywords: Denoising, Autoencoder, Seismic Signal, Hailo 8L, Mini seed, Raspberry Pi 5 Share Link | Plain Format | Corresponding Author (Antonia Indriyani Juniar)

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