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31	Electrical, Electronic, and Computer Engineering	ABS-49
The Role of Artificial Intelligence in Strategic Technology Management for Competitive Advantage Alina Kiran UTeM Malaysia Abstract Artificial Intelligence (AI) is transforming how organizations manage technology, innovate, and compete. Within the field of Strategic Technology Management (STM), AI provides tools for faster decision-making, accurate forecasting, and more effective allocation of resources. This paper reviews recent studies published between 2018 and 2025 to examine the role of AI in strengthening STM and securing long-term competitive advantage. The findings highlight three main applications. First, AI enhances technology forecasting by analyzing patents, publications, and market signals to identify emerging trends. Second, AI supports research and development (R&D) management through virtual prototyping, simulation, and knowledge discovery. Third, AI-driven decision-support systems enable organizations to optimize technology portfolios and investment strategies. Despite these benefits, challenges remain, including data bias, ethical governance, and workforce readiness. To address these issues, the paper proposes a five-step framework for integrating AI into STM: needs assessment, tool selection, strategic alignment, continuous monitoring, and evaluation. The study concludes that organizations adopting AI strategically within STM are better positioned to innovate, adapt, and maintain competitiveness in volatile markets. Keywords: Artificial Intelligence, Strategic Technology Management, Competitive Advantage, Innovation, Digital Transformation Share Link | Plain Format | Corresponding Author (Alina Kiran)

32	Industry Engineering	ABS-6
Decision Support System for Determining Factory Location with TOPSIS Method Ahmad Arif Nurrahman, Ajrina Febri Suahati, Otong Rukmana Universitas Islam Bandung Abstract In choosing or determining the location to build a new factory, several considerations both strategic and technical are required. A company must ensure the right and relevant factors are considered during the decision-making process or choosing a new location. The right location will affect the success of a business. Therefore, the process of selecting a new location for a factory must receive serious attention from the policy holders in the company. More and more new factories will support industrial development or sustainable industrialization, in accordance with the Sustainable Development Goals (SDGs) 9. Which seeks to build resilient infrastructure, encourage sustainable industrialization, and encourage innovation. To determine decisions on multi-criteria or complex criteria, it can be assisted by the Decision Support System (DSS) method. This research will use one of the SPK models, namely Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Then a website-based system will be created and a prototype will be produced. The system trial stage involves practitioners or policy holders who have the authority to make decisions for determining factory locations. This research is expected to provide benefits in producing a model of criteria in selecting factory locations, both small, medium and large scale factories. The resulting system is not only a theory but in the form of an application that can be accessed by relevant stakeholders, especially from industry practitioners and related government parties. Keywords: decision support system- TOPSIS- factory location Share Link | Plain Format | Corresponding Author (Ahmad Arif Nurrahman)

33	Industry Engineering	ABS-7
Development of Agricultural and Livestock Businesses with Circular Economy Principles to Achieve Food Security in Wantilan Village Mohamad Satori (1), Nurul Azita Salleh (2), Endang Prasetyaningsih (1), Puti Renosori (1), Chaznin R. Muhamad (1), Intan Nurrachmi (1), Zahwa Fitria Gumilang (1), Krisna Riyadi (1), M. Danny5 Setiawan (1), Nadia Khaerunnisa (1) (1) Universitas Islam Bandung (2) University Utara Malaysia Abstract Sustainable food security according to the mandate of the village SDGs is one of the very strategic village-based programs. Wantilan Village through the village-owned business entity (BUMDES) has a business related to food security with the principle of a circular economy that utilizes and processes organic waste. Compost and organic granules are then used for hybrid corn farming. Hybrid corn and maggots are then processed into feed for chicken farms. The problems faced related to this business are related to the availability of human resources both in quantity and quality so that production stagnation occurs. The purpose and objectives of this activity are related to the assistance provided to the BUMDES managers with the aim of increasing the knowledge of BUMDES business managers in terms of production, financial management, to product marketing, and increasing the production of organic granules and animal feed. The methods used in this assistance are the focus group discussion and learning by doing methods. The results obtained showed a significant increase in participant knowledge, especially for financial management and marketing, reaching 100%, generally mastering the aspects asked in both the pretest and post test. Meanwhile, for production operators, the increase in knowledge was only 25% because there were many new operators. Then, related to production activities, there was an increase in production of both organic granules and animal feed by 25%. Keywords: food security, poultry farming, SME, BUMDES Share Link | Plain Format | Corresponding Author (Mohamad Satori)

34	Industry Engineering	ABS-14
Musculoskeletal Risk Analysis Using the RULA Method in the Manual Meatball Moulding Process Yanti Sri Rejeki, Eri Achiraeniwati, Nur Rahman As^ad, Feri Setiawan, Muhammad Jahidan Al-Ghifari Program Studi Teknik Industri Universitas Islam Bandung Abstract PNon-ergonomic work postures, such as bending or squatting, contribute to an increased risk of Musculoskeletal Disorders (MSDs). CV. Tasifa Jaya is a food MSME that specializes in producing meatballs. One of the workstations with potential for MSDs is the manual meatball pressing workstation. At this workstation, operators shape meatballs while sitting, bending their backs, and rotating their upper bodies. Therefore, the purpose of this study is to identify and analyze the level of musculoskeletal risk at the manual meatball shaping workstation at CV. Tasifa Jaya. Risk evaluation was conducted using a quantitative ergonomic method, namely Rapid Upper Limb Assessment (RULA). Data were collected through observation of work posture, movement frequency, exertion intensity, and task duration in three main work elements: dough retrieval, meatball molding, and meatball transfer to the boiling pan. The RULA analysis results showed that the dough retrieval work element had a score of 4 (moderate risk, further investigation needed), meatball molding had a score of 5 (high risk, immediate changes needed), and transferring meatballs to the boiling pot reached a score of 7 (very high risk, immediate changes needed). The recommended ergonomic intervention is to design work facilities tailored to the anthropometry of workers, thereby reducing occupational risks and preventing musculoskeletal injuries among them. Keywords: Ergonomi, MSDs, RULA, Strain Index Share Link | Plain Format | Corresponding Author (Yanti Sri Rejeki)

35	Industry Engineering	ABS-18
A Strategic Lean Manufacturing Approach for Increasing Productivity in Footwear MSMEs Chaznin R. Muhammad (1), Reni Amaranti (1*), Aviasti (2), Asep Nana Rukmana (1), Muh. Najib Aula Waldi (1), Dita Syawalia (1) (1) Industrial Engineering Study Program, Faculty of Engineering, Universitas Islam Bandung Jalan Tamansari No 24-26, Bandung 40116, Indonesia *amarantireni[at]gmail.com (2) Engineer Professional Education Study Program, Faculty of Engineering, Universitas Islam Bandung Jalan Tamansari No 24-26, Bandung 40116, Indonesia Abstract Lean manufacturing is a widely recognized method for improving production performance by minimizing non-value-added activities. While its implementation is common in large-scale industries, adoption among micro, small, and medium enterprises (MSMEs) remains limited due to resource constraints and process variability. This study examines the application of lean manufacturing principles in a traditional shoe crafting company in Bandung, Indonesia, which has experienced a decline in production efficiency. The production relies heavily on manual labor and faces challenges such as irregular raw material supply and inconsistent customer orders. A structured lean approach, including value stream mapping and waste identification, was employed to assess production inefficiencies. Major waste types found include excessive transportation, waiting time, and defects requiring rework. Based on the analysis, targeted improvements were proposed, including facility layout redesign, development of work aids, and standardization of work procedures. The implementation of these measures led to reduced waste and improved productivity across the production line. The findings demonstrate that lean manufacturing can be effectively tailored to enhance operational performance in labor-intensive MSMEs, thereby increasing their competitiveness. Keywords: Lean manufacturing, waste reduction, productivity improvement, MSMEs Share Link | Plain Format | Corresponding Author (Reni Amaranti)

36	Industry Engineering	ABS-35
Optimizing SME-Scale Garment Production: A Business Process Automation Framework for Made-to-Order Workflow M. Dzikron, Djamaludin, Nita P.A. Hidayat, Anis Septiani Universitas Islam Bandung Abstract Small and Medium-sized Enterprises (SMEs) in the garment industry frequently encounter inefficiencies within their Made-to-Order (MTO) production systems, which are predominantly manual. This reliance results in operational bottlenecks, a high susceptibility to human error, and a lack of real-time visibility across the workflow. This research addresses these challenges by proposing a comprehensive Business Process Automation (BPA) framework tailored for garment production SMEs. The methodology involves a detailed analysis of the current ^As-Is^ workflow, utilizing Business Process Model and Notation (BPMN) to identify inefficiencies and repetitive tasks suitable for automation. Subsequently, a streamlined ^To-Be^ process is designed, leveraging the no-code integration platform Make.com to orchestrate the workflow. The proposed framework automates the end-to-end MTO process, encompassing order intake and validation, payment confirmation, production planning, real-time progress tracking, quality control logging, and automated customer notifications for shipment. By integrating readily available tools such as Google Forms, Google Sheets, and Trello, this framework is projected to significantly reduce administrative overhead, minimize data entry errors, and shorten production lead times. The result is a practical, scalable, and cost-effective solution that enhances operational efficiency, offering a clear pathway for digital transformation in the MTO garment sector. Keywords: Business Process Automation (BPA), Made-to-Order (MTO), SME Garment Industry, Workflow Optimization Share Link | Plain Format | Corresponding Author (mas jamal)

37	Industry Engineering	ABS-37
Decision Support System for Determining Factory Location Using the TOPSIS Method Ahmad Arif Nurrahman, Otong Rukmana, Ajrina Febri Suahati, Insan Nugraha, Krisna Riyadi, Rieven Adha Geva Putra Gerry, Putri Aulia Susilo Industrial Engineering, Unisba Abstract When selecting or determining a location for a new factory, several strategic and technical considerations must be taken into account. A company must ensure that the right and relevant factors are considered during the decision-making process or when selecting a new location. The right location will influence the success of a business. Therefore, the process of selecting a new location for a factory must receive serious attention from policy makers within the company. The more new factories there are, the more it will support sustainable industrial development or industrialization, in line with the objectives of Sustainable Development Goal (SDG) 9. That is, striving to build resilient infrastructure, promoting sustainable industrialization, and fostering innovation. To make decisions based on multi-criteria or complex criteria, the Decision Support System (DSS) method can be utilized. This study will employ one of the DSS models, namely the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Then, a website-based system will be developed and a prototype will be produced. The system testing phase will involve practitioners or policy makers who have the authority to make decisions regarding the location of the factory. This research is expected to provide benefits in developing a criteria model for selecting factory locations, ranging from small-scale, medium-scale, to large-scale factories. The system developed will not only be theoretical but also an application accessible to relevant stakeholders, particularly industry practitioners and government officials. Keywords: Factory Location Determination, Decision Support System, TOPSIS Method Share Link | Plain Format | Corresponding Author (Ahmad Arif Nurrahman)

38	Industry Engineering	ABS-43
Design of Maggot Drying Machine Ergonomic Using Anthropometric Data Nugraha*, Iyan Bachtiar, Dewi Shofi, Rahma Aulianisa Universitas Islam Bandung Abstract The problem in this research is organic waste management. In 2024, according to data released by the Central Statistics Agency (BPS) of Bandung City, the largest waste production is food scraps, reaching 44.51% of the total daily waste produced in Bandung City. One way to overcome waste through maggot cultivation. To preserve maggots, a drying process is needed, carried out by the method of drying them under sunlight. However, this method requires a fairly long time, which is around 6-8 hours depending on the intensity of the sun^s heat. This has the potential to cause the resulting maggots to become too dry. This research aims to replace the manual drying process with the use of sunlight so that it will maintain the quality of the maggot drying results and become a solution to overcome waste problems, especially organic waste. The method used in this research is through measuring anthropometric data then applying the results of these calculations through the design of a maggot drying machine product. The results of this research are the design of a maggot drying machine using an anthropometric approach to obtain ergonomic dimensions. It is equipped with wheels and a handle for easy movement and transportation. This machine is also equipped with a shelf for storing gas and a stove. This device has a length of 101 cm, a width of 70 cm, and a height of 117 cm. The body dimensions used are standing elbow height, hip height, and arm reach. Keywords: Antropometri, Ergonomic, Design, waste Share Link | Plain Format | Corresponding Author (Nugraha Nugraha)

39	Information Engineering	ABS-11
Overview of Community Resilience in Majalaya Sub-District Against Flood Disaster Risks T.Respati R., Yuniarti, S.N. Irasanti Universitas Islam Bandung Abstract Floods show that the environmental system isn^t working right when it comes to the flow of surface water. West Java, especially the Majalaya District, is prone to flooding because the land is flat and it rains a lot. This area needs geospatial-based ways to reduce the effects of disasters. Community resilience in confronting and recuperating from disasters is constrained by the absence of readily available data-driven information for both residents and policymakers. It^s hard to come up with good plans for improvement when there isn^t any geospatial data on things that affect community readiness and resilience. Innovation is necessary to enhance community preparedness and resilience, particularly in regions susceptible to disasters. Geospatial analysis of the areas affected is an important part of making disaster preparedness and resilience stronger. To improve community preparedness and resilience, it is important to use up-to-date data to do geospatial factor analysis and come up with an effective strategy that will help mitigation models for disaster management.This study seeks to evaluate the preparedness, capacity, and resilience of the Majalaya District community in confronting disaster risks, utilizing a defined set of indicators. This study adopted the Focus Group Discussion (FGD) technique, with active participation from 26 local officials in the Majalaya Sub-district. The results indicate that the community has a high level of awareness and an effective communication system- however, there remains a need for improved resources and technical planning. Keywords: community, resilience, flood, disaster Share Link | Plain Format | Corresponding Author (Yuniarti Yuniarti)

40	Information Engineering	ABS-28
The Influence of Entrepreneurial Education on AI-Based Expectancies and Entrepreneurial Intention Among Digital Natives Glory Aguzman, Lorio Purnomo, Pantri Heriyati, Anggha Dipa Pratama, Richel Lamadrid Binus Entrepreneurship Centre, Management, Binus Business School, Binus University, Jakarta, Indonesia Abstract This paper examines the link between entrepreneurship training, artificial intelligence (AI) uptake, and the intent to start a business among today^s digitally native learners. Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), it tests whether performance expectancy and effort expectancy mediate these relationships. Surveys were distributed to university students enrolled in entrepreneurship subject, and the resulting data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) from 133 respondents. Sustainable Development Goal 4: Quality Education which aims to ensure every learner is provided access to rigorous education alongside opportunities that equip them with relevant business and technological skills. Findings show that entrepreneurship training significantly boosts both AI usage and performance expectations, and the latter, in turn, strongly elevates entrepreneurial intent. By contrast, effort expectancy fails to exert any significant mediating effect. These results suggest that learners care more about the potential benefits and outcomes of using a tool than about how easy it is to operate. The study contributes to extending UTAUT into the field of entrepreneurship education and offers practical guidance for embedding value-oriented, technology-based projects-particularly involving AI-within entrepreneurship curricula. This integration is essential to equip future graduates with the mindset and tools needed to thrive in an increasingly digital and innovation-driven economy. Keywords: Entrepreneurship Education- Artificial Intelligence (AI)- Entrepreneurial Intention- UTAUT (Performance Expectancy- Effort Expectancy)- SDG^s 4 Share Link | Plain Format | Corresponding Author (Lorio Purnomo)

41	Information Engineering	ABS-52
Behavioral Modeling of Planned Impulse Buying for Sustainable Consumer Loyalty Systems Nofriska Krissanya (a), Ika Febrilia (a*), Ari Warokka (b), Ujang Sumarwan (c) a) Faculty of Economics and Business, Universitas Negeri Jakarta, Indonesia b) Busan International College, Tongmyong University, South Korea c) School of Business, Institut Pertanian Bogor, Indonesia Abstract Understanding consumer behavior through data-driven modeling plays a vital role in supporting technologies for sustainable development. This study examines how four internal psychological factors-emotional state, shopping list flexibility, product familiarity, and brand trust-influence planned impulse buying and how this behavior subsequently affects customer loyalty. Using structural equation modeling (SEM-AMOS) based on responses from 273 participants, the study finds that all four factors significantly influence planned impulse buying, which in turn positively impacts customer loyalty. Furthermore, planned impulse buying acts as a significant mediating variable between each internal factor and loyalty outcomes, indicating its strategic role in consumer decision-making. This research contributes to the field of behavioral modeling by reframing planned impulse buying-often perceived as impulsive and unstructured-as a predictable behavior that can be guided through psychological readiness and sustainable marketing stimuli. The integration of internal psychological triggers with sustainable and emotionally engaging product strategies provides a pathway for organizations to design more effective loyalty systems. The findings offer valuable insights for product developers, marketing technologists, and information engineers in aligning consumer engagement strategies with long-term sustainability goals. By modeling consumer decisions using a statistical framework, this study bridges the gap between behavioral science and technology-based innovation in supply chains. It reinforces the idea that ethically guided, impulse-driven purchasing can become an integral part of sustainable product development and consumer relationship management. Keywords: Behavioral Modeling, Customer Loyalty, Planned Impulse Buying, Structural Equation Modeling, Sustainable Product Development Share Link | Plain Format | Corresponding Author (Ika Febrilia)

42	Information Engineering	ABS-55
Toward a Comprehensive Model of Digital-Only Bank Adoption: Integrating UTAUT2 with the Push-Pull-Mooring Perspective Terrylina Arvinta Monoarfa (a*), Ayatulloh Michael Musyaffi (b) Universitas Negeri Jakarta Abstract The rapid rise of digital-only banks has transformed the financial services landscape, yet consumer adoption remains uneven across markets. This study develops a comprehensive framework by integrating the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with the Push-Pull-Mooring (PPM) perspective to examine the enablers and barriers influencing adoption intentions. The structural model incorporates five exogenous variables-economic value, perceived benefit, personal innovativeness, perceived security, and social influence-together with three moderating variables, namely personal innovativeness, age, and prior experience, and one endogenous construct, intention to adopt digital-only banking services. Data were collected from users of digital-only bank applications in Jakarta, Indonesia-one of the world^s fastest-growing digital economies-and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that economic value, perceived benefit, personal innovativeness, perceived security, and social influence significantly increase consumers^ adoption intention. Furthermore, personal innovativeness positively moderates the influence of enabler factors, while age and prior experience moderate the effects of personal innovativeness. By situating the analysis in the Indonesian context-where digital-only banks such as Jago, Blu by BCA, and Bank Neo Commerce, are rapidly expanding-the study extends UTAUT2 into a migration-based framework and provides novel insights into consumer decision-making in emerging markets. Practically, the results offer guidance for financial institutions and policymakers to reduce perceived risks, enhance consumer trust, and strengthen adoption strategies for digital-only banking services. Keywords: Push-Pull-Mooring Framework- UTAUT-2- Digital-only Bank Applications- Personal Innovativeness. Share Link | Plain Format | Corresponding Author (Terrylina Arvinta Monoarfa)

43	Information Engineering	ABS-56
A Collaborative Model for Halal Certification in Bottled Drinking Water (AMDK) Start-ups in Bangkalan, Indonesia Muttaqin Choiri (a), Muhammad Ersya Faraby (b) Faekarotul Mufidah (c), Qurrota A^yun Pramitha Thoyibah (d) a), b), c) Universitas Trunojoyo Madura d) Institut Agama Islam Al-Khoziny Sidoarjo Abstract The increasing demand for bottled drinking water (AMDK) has encouraged the emergence of various local business start-ups, including those in Bangkalan Regency. However, one of the main challenges faced by these enterprises is the process of obtaining halal certification, which has become an essential requirement to ensure business sustainability and strengthen consumer trust among Muslim communities. This study aims to identify the problems and strategies in obtaining halal certification for AMDK start-ups in Bangkalan. A qualitative research approach was employed, using in-depth interviews, field observations, and document analysis of halal certification regulations. The findings indicate that although AMDK start-ups possess significant potential due to the availability of local water resources and growing market demand, small-scale business owners continue to face limited access to information and difficulties in navigating the halal certification process. Further analysis reveals that the involvement of higher education institutions as halal facilitators provides more comprehensive, sustainable, and adaptive guidance compared to general facilitators. The strategic role of universities as partners effectively bridges regulatory literacy gaps in small enterprises, particularly in the AMDK sector. A collaborative model involving local government, academia, and business actors is essential to accelerate halal certification while simultaneously enhancing the competitiveness of local industries. Keywords: Halal Certification- Start-up Business- Bottled Drinking Water (AMDK)- Local Industry Competitiveness Share Link | Plain Format | Corresponding Author (Muttaqin Choiri)

44	Information Engineering	ABS-59
THE NARRATIVES OF FILIPINO SEAFARERS ON NAVIGATING THE MULTILINGUAL DYNAMICS IN THE MARITIME INDUSTRY: AN INTERPRETATIVE PHENOMENOLOGICAL ANALYSIS REMAR B. BARCIBAL SANTO NINO COLLEGE FOUNDATION, INC. UNIVERSITY OF THE IMMACULATE CONCEPTION Abstract This study employed Interpretative Phenomenological Analysis (IPA) to explore the narratives of Filipino seafarers on navigating the multilingual dynamics in the maritime industry and how Filipino seafarers make sense of these multilingual experiences. The study involved seven Filipino seafarers who have direct exposure to multilingual communication and active engagement with multinational crews. In an in-depth interview, each of the participant shared their narratives on navigating the multilingual dynamics in the maritime industry. Through thematic analysis, four superordinate themes emerged: Upon reflecting on their experiences, the seafarers acknowledged the vital role of adaptive communication strategies in navigating multilingual dynamics at sea- the seafarers highlighted the importance of multilingual competence in ensuring operational safety, teamwork, and professional growth- the seafarers emphasized the significance of transforming multilingual encounters into opportunities for personal resilience, cultural awareness, and professional development- and the seafarers recognized the importance of fostering interpersonal harmony and cultural sensitivity among multinational crews. Keywords: multilingual dynamics, maritime industry, interpretative phenomenological analysis, narratives, Filipino seafarers Share Link | Plain Format | Corresponding Author (Remar Barcibal)

45	Material Engineering	ABS-21
Performance Simulation of Open Limestone Channel Based on Water Quality Parameters and Armoring Ir. Ridho Qurniawan, S.T., M.T. Jerry Dwifajar Prabowo, S.T., M.T. Andrieanto Nurrochman, S.T., M.SC.ENG Bandung Islamic University Abstract This study evaluates the performance of an Open Limestone Channel (OLC) as a passive treatment method for synthetic acid mine drainage (AMD), focusing on water quality improvement and the formation of sediment layers (armoring) on limestone surfaces. The simulation used synthetic AMD with extreme conditions (pH 0.29- Fe = 50 mg/L), which was flowed through a 1-meter OLC channel with a 2% slope using limestone particles sized 2.38-3.36 mm. System performance was assessed by monitoring pH, TDS, ORP, EC, and dissolved metal concentrations, as well as by conducting visual and microscopic analysis of armoring using optical microscopy and Scanning Electron Microscopy (SEM). Results showed a significant pH increase (&#916-pH > 6) within 15 minutes and the formation of yellow-brown iron oxide precipitates on limestone surfaces. Armoring was found to be more pronounced in unmodified channels, indicating a decline in OLC efficiency over time. The study contributes to a better understanding of neutralization mechanisms, surface fouling, and performance degradation, offering recommendations for improved OLC design. Keywords: open limestone channel, acid mine drainage, armoring, iron oxide Share Link | Plain Format | Corresponding Author (Ridho Qurniawan)

46	Material Engineering	ABS-25
Consumer Index Preferences for Organic Vegetables: Toward Healthier and Sustainable Food Choice Please Just Try to Submit This Sample Abstract Pantri Heriyati1,a), Glory Aguzman2,b, Chairani Putri Pratiwi3,c, Diana Lo4,d Binus university Abstract Greater awareness of health issues and the need to protect the environment have contributed to a rise in interest in organic agricultural products. However, consumer preference for these products in developing countries like Indonesia remains understudied. This research is aimed at mapping the consumer preference index for organic agricultural products in West Java, Indonesia, by evaluating the importance of parameters such as price, packaging, labeling, availability, and taste. A quantitative survey approach was utilized with participants from cities and urban areas of Indonesia. Respondents^ data were processed using a weighted average index model to compute the consumer preference level for each attribute. The findings reveal that ^organic labeling^ and ^product availability^ are the two most important factors influencing consumer preference, followed by ^taste,^ ^packaging,^ and ^price^ in that order. These results suggest that the certification provided and access to the products are more important than the price. The research calls for greater attention to be given to organic labeling policies and their enforcement, distribution system, and the local producers^ role in the region^s agribusiness. It deepened the understanding of market dynamics relating to the purchase of organic products in Indonesia while providing policy-oriented recommendations to agribusiness stakeholders concerned with fostering sustainable food consumption. Keywords: Consumer preference index-Weighted Average Index Model- Organic Product Certification- Agribusiness Policy- Market Accessibility Share Link | Plain Format | Corresponding Author (glory aguzman)

47	Material Engineering	ABS-41
Micro Structure and Mechanical Properties of Fe-Cr-Mn alloy castings for biomaterials Ratna Kartikasari and La Ode Muhammad Fuad Syuhada Baeri Institut Teknologi Nasional Yogyakarta Abstract Fe-Cr-Mn alloy is one type of stainless steel that is being considered as a replacement for conventional stainless steel (Fe-Cr-Ni alloy). Manganese (Mn) acts as an austenite stabilizer, increasing hardness and strength. Economically, Mn is relatively inexpensive, making it a viable alternative to expensive Ni. This study aims to analyze the effect of manganese content on microstructure and mechanical properties of Fe-Cr-Mn alloy steel casting. The Characterization performed includes chemical composition, microstructure, hardness, tensile strength, impact toughness, and wear testing. The result of the chemical composition test showed that the Fe-Cr-Mn alloys in this study contained 10.02%, 15.04%, and 20.09% Mn, respectively. The microstructure of the Fe-Cr-Mn allloy steel casting consists of austenite and ferrite, placing it in the duplex stainless steel catagory. The specimen with a Mn content of 20% exhibited the highest hardness value of 358.3 VHN, tensile strength of 682 MPa, an elongation of 26.57%, impact value of 0.21J/mm2, and wear resistance of 0.000156 mm3/kg.m. Keywords: Fe-Cr-Mn alloy, Fe-Cr-Ni alloy, biomaterial Share Link | Plain Format | Corresponding Author (Ratna Kartikasari)

48	Material Engineering	ABS-53
Coal Stockpile Management To Prevent Spontaneous Combustion Of livestock Coal Linda Pulungan, Sriyanti, Dudi Nasrudin Usman, Dono Guntoro, Iswandaru, Noor Fauzi I, Julianti, Zahwa Siba Afiza, Reynara Mining Engineering, Faculty of Engineering, Islamic University of Bandung Corresponding author: linda.lindahas[at]unisba.ac.id Abstract Abstract. Coal is a significant energy source in Indonesia, yet it is highly susceptible to spontaneous combustion during stockpiling, which can reduce quality and cause operational losses. This study examines the causative factors, characteristics, and prevention strategies of spontaneous combustion in MTXX coal (subbituminous, 4,601 to 4,800 kcal/kg) at livestock, PT Bukit Asam Tbk, Tanjung Enim. The methodology involved field observations, temperature monitoring within the stockpile, recording wind direction and speed, rainfall measurements, and proximate laboratory analyses. The results indicate that spontaneous combustion is triggered by several conditions, including stockpile floor design without bedding coal, suboptimal drainage systems, excessive pile height (more than 10 m), the predominance of fine particles on the pile surface, prevailing wind direction, and uneven compaction. Temperature monitoring revealed a significant increase in the central part of the stockpile, exceeding the threshold of 70 degrees Celsius. Recommended mitigation efforts include applying a FIFO (First In First Out) system for coal handling, maintaining pile height below 10 m, routine compaction, improving drainage, and covering the pile during rainfall. These findings highlight the importance of systematic stockpile management to reduce the risk of spontaneous combustion, maintain coal quality, and minimize potential production losses. Keywords: Coal Spontaneous Combustion, livestock Coal, Coal Stockpile Management, FIFO Share Link | Plain Format | Corresponding Author (LINDA PULUNGAN)

49	Material Engineering	ABS-61
Geostatistics Application for Andesite Rock Strength Classification in an Effort to Meet the Quality of Construction Material Raw Materials Dudi Nasrudin Usman1, Icih Sukarsih2, Indra Karna Wijaksana1, Himawan Nuryahya1 Bandung Islamic University Abstract Geostatistics is a very valuable tool for making data-based decisions about natural resources, especially construction materials. The characteristics and physical properties of construction materials are important because they are considered in physical utilization, especially concrete buildings. The research conducted was to analyze rock hardness data for its utilization as a construction material referring to established standards. The methodology used is direct observation in the field, megascopic and microscopic observations. The use of this geostatistical method for observation and processing and analysis of spatial data involves indicators of rock physical properties in the form of hardness values. So it is easier to make decisions with the physical properties of rock hardness that have economic value. The results of the study showed that the geological potential of West Java has great andesite potential, especially in areas of volcanic activity. Andesite is used as a construction material. In West Java Province there are 426 IUPs, specifically for andesite commodities there are 126 IUPs (29.58%). The quality of andesite rock is generally moderate to strong, and is resistant to weathering, has a relatively low water absorption value, suitable for use as a construction raw material such as foundations, roads, and roadside stones. The use of the Geostatistical Method is to determine the distribution and zoning of good quality andesite rocks, where several identified zones have good quality, namely 42% in the Bogor Area, 21% in the Cirebon Area, 18% in the Bandung Area and Surrounding Areas, 19% are spread across several regions. Keywords: Andesite, West Java, Construction Materials, Quality and Geostatistics. Share Link | Plain Format | Corresponding Author (Dudi Nasrudin Usman)

50	Material Science	ABS-19
^Subsurface Stratigraphic Investigation Using Schlumberger Resistivity Method in Sumbersari, West Java^ Iswandaru, Zaenal, Andriento Nurrochman, Mohammad Rahman A., Elfida Moralista, Yuliadi Universitas Islam bandung Abstract This study aims to identify the subsurface stratigraphic conditions in Sumbersari Village, Ciparay District, Bandung Regency, using the electrical resistivity method with a Schlumberger configuration. The study is motivated by the issue of limited access to clean water faced by some residents, particularly during the dry season when shallow wells often experience water shortages. Therefore, an effective exploration method is needed to determine the potential and depth of aquifer layers as a source of groundwater. The electrical resistivity method was chosen because of its effectiveness in mapping vertical variations in soil and rock resistivity, which are closely related to lithological characteristics and hydrogeological conditions. Measurements were carried out using a sounding system along several survey lines, with the current electrode spacing (AB) progressively increased to investigate deeper subsurface layers. The apparent resistivity data obtained were processed using IPI2Win software to generate a 1D resistivity model versus depth. The interpretation results reveal resistivity variations that represent different lithologies, such as clay, sand, gravel, and possible bedrock. Zones with low resistivity values are interpreted as saturated layers (aquifers), while high resistivity values indicate hard or dry rock. This information is expected to serve as a scientific basis for the planning of clean water well drilling and the management of subsurface water resources in the area. Keywords: geoelectrical, resistivity, Schlumberger, stratigraphy Share Link | Plain Format | Corresponding Author (Zaenal Zaenal)

51	Material Science	ABS-47
Characteristic Properties of Composites From Petung Bamboo Powder as an Alternative Raw Material For Furniture Production Purwanto and X. Indri Prasasyaningsih Universitas Kristen Duta Wacana Abstract Abstract.Bamboo waste processing can be an alternative raw material for products, reducing production costs and environmental impacts. Sayegan Hamlet, Sleman, Yogyakarta, is a center for the bamboo craft industry that produces large amounts of waste that is only thrown away. Therefore, research was conducted on processing bamboo waste into composites. The purpose of this study was to utilize petung bamboo waste as an alternative raw material in the form of composites for small industries. The research method was laboratory experiments and composite application trials to make furniture products. The composition of the bamboo waste composite (matrix) with weight fractions of 10g, 20g, 40g, 60g, 80g and corn husk waste (filler) with a composition of 90g, 80g, 60g, 40g, 20g. The material was mixed with bioindustrial glue with a composition of 30% of the composite mass fraction. Each composition was mixed until homogeneous, then poured into a mold with a diameter of 25 cm and a mold measuring 30 cm x 25 cm x 3 cm, then hydraulically pressed for 24 hours. After drying, the composite was tested for tensile strength, compressive strength, and hardness. Based on composite test results, the maximum tensile strength value is 38.9 MPa (40SB-SJ), compressive strength 86.3 MPa (60SB-SJ), and hardness value 46.1 MPa (80SB-SJ). For composite applications used to make furniture, produced in collaboration with craftsmen to ensure the product is in line with trends and marketable. Utilizing bamboo waste can provide benefits for industry and SMEs as an alternative raw material. Keywords: Keywords: composite, waste, bamboo. Share Link | Plain Format | Corresponding Author (Purwanto to)

52	Material Science	ABS-51
The Legacy of Early Muslim Religious Education in Kerala: Between Tradition and Modernity Dr.Faisal Babu.M Assistant Professor PG Department of Islamic History MES Kalladi College, Mannarkkad, Palakkad, Kerala, India Abstract The educational history of Kerala Muslims reflects a remarkable transformation from early traditional learning systems to a modern, diversified network of institutions. In the 19th century, colonial officials like William Logan described Muslims of Malabar as largely illiterate, confined to Qur^anic recitation without comprehension. Yet, over time, the community developed one of the most vibrant and advanced educational landscapes in India. Rooted in early mosque-based systems introduced by Malik bin Dinar and Arab settlers, education evolved through Othupalli (primary Qur^anic schools), the Dars system (mosque-based higher learning), Madrasa movements, Arabic colleges, and Islamic universities. These institutions preserved Islamic scholarship while gradually incorporating modern subjects and pedagogy, especially under reformist figures such as Moulana Chalilakkath Kunhahammad Haji. Arabic education, Arabi-Malayalam literature, and the integration of orphanages and women^s education further enriched the intellectual culture of Kerala Muslims. The Dars system of Ponnani, once called the ^Little Mecca of Malabar,^ produced generations of scholars whose influence extended beyond Kerala. Today, Kerala^s Muslims stand among the most educated Muslim communities in India, with their educational legacy shaped by a synthesis of tradition, reform, and modernity. This paper examines the historical trajectory, institutional frameworks, and socio-cultural impact of the early Muslim educational system of Kerala. Keywords: Keywords: Dars, Othupalli, Ponnani, Malabar, Madrasa Share Link | Plain Format | Corresponding Author (DR.FAISAL BABU M)

53	Material Science	ABS-60
JUVENILE DELINQUENCY FROM THE LENS OF SOCIAL WORKERS:A DESCRIPTIVE INQUIRY REY PATRIC O. JUGOS SANTO NINO COLLEGE FOUNDATION,INC. Abstract This qualitative-descriptive study explored the viewpoints and insights of social workers at Regional Rehabilitation Center for youth in Region XII on what influences and drives juvenile delinquency. Four social workers who specialize in Children in Conflict with the Law (CICL) cases at the Regional Rehabilitation Centre for Youth (RRCY) XII were chosen as key informants for the study using purposive sampling. Semi-structured interviews with open-ended questions from a researcher-developed guide were used to gather data. The data was analyzed using thematic analysis. The results showed that a variety of life experiences, such as family instability, peer pressure, personal struggles, poverty, and tolerance in the community, interact intricately contribute to juvenile delinquency as perceived by social workers. The study emphasized the negative effects of unstable families and a lack of community support, underscoring the necessity of all-encompassing rehabilitation strategies that give top priority to robust support networks, psychosocial counselling, educational and recreational opportunities, and customized programs that address underlying problems. Social worker insights highlighted the value of social workers as positive role models, the necessity of more robust institutional services, ethical and professional case management, and a selfless approach to rehabilitation. This study offers a roadmap for future research and practice to enhance prevention and rehabilitation tactics for young offenders in South Cotabato. Keywords: criminal justice, Juvenile Delinquency, descriptive study, thematic analysis, Philippines Share Link | Plain Format | Corresponding Author (Rey Patric Obliga Jugos)

54	Mathematics	ABS-30
Integrating Cluster Analysis and Mean-Variance Optimization in Constructing an Optimal Sharia Stock Portfolio Fitri Amanah Universitas Islam Bandung Abstract A portfolio is a collection of investment assets designed to minimize risk through diversification across various asset classes. In the portfolio formation process, cluster analysis helps group stocks based on specific financial characteristics. This study applies Ward clustering method to group stocks based on profitability indicators, namely Return on Assets (ROA), Return on Equity (ROE), and Revenue. Furthermore, apply the Markowitz Mean-Variance model to determine the optimal asset allocation. The results show that IDX Sharia Growth stocks from December 2023 to August 2024 can be grouped into three clusters with a silhouette value of 0.5373039. Cluster I consists of stocks with high average ROA and ROE values. Cluster II contains stocks with relatively high average Revenue values, while Cluster III includes stocks with relatively low ROA, ROE, and Revenue. Next, select one representative from each cluster to form a mean-variance portfolio: ESSA, INDF, and SIDO. Portfolio optimization used various gamma values to reflect investor risk preferences. At low gamma values (e.g., gamma = 0.5), the expected return reached 0.0456, but was accompanied by a higher risk level of 0.2029. Exploring gamma values from 0 to near infinity revealed that as the gamma value increased, the portfolio expected return and risk tended to decrease in tandem. Keywords: Ward Clustering, Mean-Variance, Portfolio, Risk Share Link | Plain Format | Corresponding Author (Fitri Amanah)

55	Mathematics	ABS-46
Modeling Third-Party Liability Claim Frequency Data Using Mixture Poisson Distribution Through the Parametric Bootstrap Approach Hudan Wahyudin, Aceng Komarudin Mutaqin, Sutawanir Darwis Department of Statistics, Universitas Islam Bandung Abstract One type of protection in automobile insurance is the third-party liability coverage. The benefits of the third-party liability coverage include protection against the risk of death or injury to a third party and damage to property or assets of the third party. One of the important variables in determining premiums for the third-party liability coverage is claim frequency data. A commonly used statistical model for claims frequency data is the Poisson distribution. In practice, claims frequency data often exhibits overdispersion, meaning the variance in the claim frequency data exceeds its mean. To address this problem, the mixture Poisson distribution is often used. This distribution is a mixture of the Poisson distribution and the distribution of Poisson parameter. In constructing a Poisson mixture distribution, the distribution of Poisson parameters is determined without any data. In this study, the distribution of Poisson parameter is based on claim frequency data of the third-party liability coverage using a parametric bootstrap approach. The maximum likelihood estimation method is used to estimate the parameters of the mixture Poisson distribution. The chi-square test is used to test the goodness-of-fit of the mixture Poisson distribution. The method proposed in this study will be applied to the claim frequency data of the third-party liability coverage on truck type vehicles in Indonesia in the underwriting year 2018. The results of the study indicate that the mixture Poisson distribution fits the above data. The estimated mean is 0.0214, and the estimated variance is 0.0228. Keywords: mixture Poisson- maximum likelihood estimation- parametric bootstrap approach- chi-square test- third-party liability coverage Share Link | Plain Format | Corresponding Author (ACENG KOMARUDIN MUTAQIN)

56	Mathematics	ABS-48
Determining Stock Performance Using Financial Indicators: Insights from Sharia Growth Index (2022-2024) Fauziah Roshafara, Fitri Amanah, Nafa Nurhanifah, Novianda Dwi Tanti Ramdani Universitas Islam Bandung Abstract The growing interest in Sharia investments has attracted more attention from both researchers and practitioners. Investors usually look at financial indicators, to evaluate the performance and return prospects of Sharia-compliant stocks. However, studies show mixed results on how these indicators affect stock returns. This study aims to analyze the effect of several financial indicators, namely Earnings per Share (EPS), Price to Earnings Ratio (PER), Return on Equity (ROE), Debt to Equity Ratio (DER) and Net Profit Margin (NPM) on stock performance based on returns in Sharia Growth Index companies for the 2022-2024 period. The data in this study are derived from secondary financial reports that meet the specified criteria. The technique used in the analysis was panel data regression. The coefficient of determination shows that 71% of the variation in returns can be explained by NPM, EPS, PER, ROE, and DER in the fixed effect model. Those five indicators have proven to influence the returns simultaneously. Individually, only three of the five independent variables had a significant effect on the stock returns of the Sharia Growth Index. PER and ROE predict stock returns in a positive direction. On the contrary, NPM influences the negative direction of stock returns. Meanwhile, EPS and DER do not affect stock returns. Keywords: Sharia Investments, Financial Indicators, Stock Returns, Panel Data Regression Share Link | Plain Format | Corresponding Author (Fauziah Roshafara)

57	Mechanical Engineering	ABS-17
West Java Andesite Mine Reclamation: A Theory of Reclamation Concepts with Local Wisdom Sri Widayati, Rully Nurhasan, Himawan Nuryahya Mining Engineering Department, Faculty of Technic, Bandung Islamic University Abstract Andesite mining in West Java is an important part of the national construction materials industry. However, this activity leaves significant ecological impacts, such as land degradation, decreased biodiversity, and social-ecological conflicts with local communities. Mine reclamation is a strategic solution to restore the ecological and social functions of post-mining land. Unfortunately, reclamation approaches in Indonesia are still predominantly technical and do not fully accommodate social, cultural and long-term sustainability aspects. This research aims to formulate a reclamation strategy for andesite mines in West Java using a transdisciplinary approach, which integrates the theory of reclamation concepts with local wisdom. The research methodology uses a mixed methods approach consisting of: Comparative literature study, Quantitative survey, Field case study, Focus Group Discussion (FGD). Preliminary results show that successful reclamation practices in developed countries have similarities in terms of long-term planning, community involvement, and diversification of post-mining land functions (e.g. as green areas, agriculture, or ecotourism). The study recommends adapting these elements to the local context of West Java through collaborative schemes between sectors, as well as more progressive policy integration at the regional level. Keywords: mine reclamation, andesite, West Java, sustainability, comparative study. Keywords: mine reclamation, andesite, West Java, sustainability, comparative study Share Link | Plain Format | Corresponding Author (Sri Widayati)

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