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31	Agricultural and bioprocess engineering	ABS-132
Tillage Operation with Hand Tractor: Comparison between Conventional and Direct Human Energy Measurement Methods Ubaidillah Ubaidillah*, R. T. Agustina, A. M. Ahmad Department of Biosystems Engineering, Universitas Brawijaya Jalan Veteran, Malang 65145, Indonesia *Email: ubaidillah88[at]ub.ac.id Abstract Measurement of human energy expenditure is essential to optimize agricultural crop production operations and costs. Human energy expenditure measurement helps to identify field operations that can benefit from the use of appropriate mechanization technologies, including soil tillage. Present study measures human energy expenditure of tillage operation with hand tractor for wet rice (Oryza sativa L.) cultivation using two commonly used methods, i.e. conventional human energy measurement and direct measurement with POLAR H10 device. The aim of the study was to provide a detailed comparison of the two methods and record the human energy cost as basis data to help optimize tillage operation with hand tractor. The research was conducted in Ramban Kulon Village, Bondowoso, involving two experienced operators who alternately operated a Quick G-1000 hand tractor powered by a 7.5 HP single cylinder Kubota RD85 DI-2S diesel engine. Three types of passive implements, i.e. moldboard plow, rotary harrow, and leveler were used on 13 field plots covering a total area of 1.05 hectares. Results indicated that total human energy expenditure obtained through the conventional method was 3.98% higher (46.76 MJ/ha vs. 44.97 MJ/ha) than the human energy expenditure recorded using the POLAR H10 device. Although there is no standard criterion available to determine which method was the most accurate, the direct measurement method with POLAR H10 device gives an estimate of actual physical human energy expanded in performing tillage operation with taking into account all conditions and provide more information needed that could be optimized in tillage operation. Keywords: Hand tractor- Heart Rate- Human energy- Rice- Soil tillage Share Link | Plain Format | Corresponding Author (Ubaidillah Ubaidillah)

32	Agricultural and bioprocess engineering	ABS-133
Some Physical and Mechanical Properties of Candlenut (Aleurites Moluccanus) at Different Submerge of NaOH Concentration Darmanto*, Zaqlul Iqbal, Musthofa Lutfi, Arifka Intan Savira Biosystems Engineering Department, Universitas Brawijaya, Jalan Veteran, Malang, 65145, East Java, Indonesia Email: darmanto_sm[at]ub.ac.id Abstract This research aimed to analyse some physical and mechanical properties of candlenut at different submerge of NaOH concentration. The sample was submerged by five different concentrations, which were 3%, 3.5%, 4%, 4.5%, and 5% of NaOH with one litre of water as a solvent. After submersion, the samples dried using oven and then tested using Brazilian testing machine. Physical and mechanical properties of these samples were then examined comprising compressive load, required energy to damage shell, kernel intactness, and MWD (mean, weighted, diameter). Increasing NaOH concentration reduced compressive strength until 1,08 kgf/m2 as well as it reduced damage energy to 0,401 Nm. The 4% NaOH submerged sample had a higher percentage of kernel intactness than the others and the lowest percentage was 3,5% NaOH submerged sample. These conditions were caused by lignin degree decreasing when NaOH concentration increased. MWD showed tended not to change while the highest MWD was resulted by 3% NaOH submerged candlenut which it was 1, 33. Keywords: candlenut, mechanical properties, NaOH concentration, physical properties Share Link | Plain Format | Corresponding Author (Darmanto Darmanto)

33	Agricultural and bioprocess engineering	ABS-135
Mechanical Damage Prediction of Crystal Guava (Psidium Guajava L.) Fruit Flesh Using Finite Element Modeling Darmanto*, Muhammad Fahrur Rozi Biosystem Engineering Department, Faculty of Agricultural Technology, Universitas Brawijaya Jalan Veteran, Malang, East Java, 65145, Indonesia *Email: darmanto_sm[at]ub.ac.id Abstract The post-harvest handling process of Crystal Guava (Psidium guajava L.) fruit has a high potential for mechanical damage. This mechanical damage will cause a decrease in the quality of the fruit which will accelerate the decay process. This study aims to predict the distribution of mechanical damage in the flesh of Crystal Guava fruit that experiences mechanical loads. The research procedure began with determining Young^s modulus or elasticity and Poisson^s ratio of Crystal Guava. Second, conducting a drop test and third conducting a simulation on finite element-based software. The average Young^s modulus, E = 2,605 Mpa, Poisson^s ratio, v = 0.2664. The tested guava has a mass of 0.16 kg. In the 1 m drop test, the stress on the guava recorded 0.11 Mpa. The highest stress was located at the bottom of the guava that dropped in a vertical position, namely the area that is in direct contact with the cement floor, amounting to 1.11.10^5 Pa or 0.11 Mpa. This value is almost the same as the yield stress, sigma-y, and the ultimate stress, sigma-u, in the compression test, which are 0.12 Mpa and 0.208 Mpa, respectively. Keywords: crystal guava, finite element, mechanical damage, mechanical handling Share Link | Plain Format | Corresponding Author (Darmanto Darmanto)

34	Agricultural and bioprocess engineering	ABS-136
Design and Optimization of Trapezoidal Duct in a Fixed-bed Rice Dryer based on CFD Approach Ubaidillah Ubaidillah*, Darmanto Darmanto, Dwi Setiawan, Rizqi Maulana Department of Biosystems Engineering, Universitas Brawijaya Jalan Veteran, Malang 65145, Indonesia *Email: ubaidillah88[at]ub.ac.id Abstract Batch dryer is the most common dryer used for grain crop such as rice due to its simplicity and economical. However, the major problem in the performance of batch dryers is uneven hot air distribution. Zones which receive a higher temperature and airflow rate dry faster, and this heterogeneity reduces dryer efficiency by increasing energy consumption and drying time. A fixed-bed rice dryer with 250 kg in capacity was designed, and consist of air blower, biomass powered furnace as heat source, and plenum chamber under rice drying bin. Two trapezoidal ducts were installed, i.e. between blower and furnace, and between furnace and plenum. In this study, computational fluid dynamics (CFD) techniques were introduced into the design process of the drying system. CFD analysis was used to simulate nine different ducting configurations to examine the impact of configuration changes on hot air uniformity. The distribution of air pressure, air temperature, and air velocity were taken as assessment parameters for nine configurations of trapezoidal duct. Within the trapezoidal duct configurations examined, the fifth configuration demonstrated the best hot air uniformity, followed by the second and eighth ducting configurations. The results showed that the CFD techniques are capable of predicting hot air distribution in fixed-bed rice dryer. These results are helpful in the design and optimization of trapezoidal duct to minimize hot air non-uniformity. Keywords: CFD- Fixed-bed dryer- Rice- Trapezoidal duct- Uniform drying Share Link | Plain Format | Corresponding Author (Ubaidillah Ubaidillah)

35	Agricultural and bioprocess engineering	ABS-145
Green Extraction of Phenolic Compounds from Orthosiphon stamineus Using Deep Eutectic Solvents and Non-Conventional Techniques Yoke Shan Wong1*, Angky Wahyu Putranto2, Ngoh Gek Cheng1, Rozita Yusoff1 1. Sustainable Process Engineering Centre, Department of Chemical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia *Email: yokeshann[at]gmail.com 2. Department of Biosystems Engineering, Faculty of Agricultural Technology, Universitas Brawijaya, Malang, East Java, 65154, Indonesia Abstract Growing consumer awareness of health and wellness, along with a preference for natural and sustainable products, has driven the use of plant extracts in cosmetics, pharmaceuticals, and food industries. Orthosiphon stamineus (Misai Kucing), a Southeast Asian herb, is valued in traditional medicine for its phenolic compounds (PCs) and associated health benefits. In line with green chemistry principles, deep eutectic solvents (DES) are emerging as eco-friendly alternatives for extracting these bioactive compounds. This study develops a sustainable extraction strategy for PCs from Misai Kucing using non-conventional methods including ultrasound-assisted (UAE), microwave-assisted (MAE), and pulsed electric field (PEF) extraction. Two DESs (choline chloride-ethylene glycol, acidic- and choline chloride-urea, alkaline) were tested against water as a neutral control. This study examines how solvent pH and viscosity influence extraction, compares sequential versus single-step extractions, and evaluates the antioxidant activity and toxicity of DES-extracted PCs. Results showed marked differences among techniques and solvents. DESs outperformed water, with choline chloride-ethylene glycol combined with MAE achieving the highest yields. Sequential extraction generally improved PC recovery and antioxidant activity. Moreover, DES-based extracts exhibited lower toxicity than those obtained with conventional solvents like ethanol. The findings demonstrate the potential of DESs coupled with advanced extraction methods to efficiently recover phenolic compounds from O. stamineus. The optimized strategies provide a greener, more effective approach, supporting broader applications of natural extracts across industries. Keywords: Phenolic compounds- Green extraction- Deep eutectic solvent- Misai kucing- Toxicity Share Link | Plain Format | Corresponding Author (Angky Putranto)

36	Agro-industrial system management and regulation	ABS-14
Optimizing Fresh Fruit Display: A Comparative Study of Hybrid Heuristic and Genetic Algorithm for Sustainable Shelf Space Allocation Dyah Satiti, Endah Rahayu Lestari* Department of Agro-industrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya Veteran No.10-11, Malang, East Java, Indonesia *Email: endahlestari24[at]ub.ac.id Abstract Reducing postharvest losses while maximizing profit is a critical aspect of sustainable fresh fruit retail management. Fresh fruits are highly perishable and some of them are sensitive to ethylene exposure, which accelerates ripening and spoilage. This study develops and compares two solution approaches for optimizing shelf space allocation and display arrangement in fresh fruit retailing. The first approach integrates a linear programming model with a local heuristic adjustment to prevent ethylene-sensitive fruits from being displayed adjacently. The second approach employs a Genetic Algorithm (GA) as a metaheuristic to handle complex constraints through an evolutionary search process. Numerical experiments are conducted on small and medium problem instances, using actual display space parameters, product space requirements, profit margins, and ethylene sensitivity levels. The results show that the hybrid approach is effective for small-scale configurations but struggles with larger instances due to local optima and feasibility issues. In contrast, the GA consistently generates feasible, near-optimal solutions with higher total expected profit and better space utilization. This research highlights the potential of metaheuristic methods for improving operational decisions in fresh fruit retailing, contributing to reduced waste and extended shelf life. The findings provide practical guidance for retailers seeking to adopt sustainable display strategies that balance profitability and quality preservation. Keywords: fresh fruit- display arrangement- Genetic Algorithm- Heuristic Algorithm- retail optimization- shelf space allocation- Share Link | Plain Format | Corresponding Author (Dyah Satiti)

37	Agro-industrial system management and regulation	ABS-16
Beyond the Peel: Reframing Consumer Resistance to Organic Bananas through Visual Bias and Certification Trust Novi Haryati* Marketing and Consumer Behaviour, Social Sciences Group, Wageningen University, Droevendaalsesteeg 4, 6708 PB Wageningen, The Netherlands email: novi.haryati[at]wur.nl Abstract In the pursuit of sustainable food systems, organic agriculture is often promoted as a critical pathway. Yet, in many developing countries, consumer adoption of organic products remains limited, not due to lack of awareness or price sensitivity alone, but due to deeper psychological and structural barriers. This conceptual paper reframes consumer resistance to organic bananas in Indonesia through two underexplored lenses: visual bias and certification trust. Drawing on insights from behavioral science and agro-food studies, we argue that aesthetic expectations and distrust in domestic organic labels create silent but powerful deterrents to sustainable consumption. We integrate findings from a discrete choice experiment (DCE) as an illustrative case to demonstrate how blemishes on fruit and unfamiliar certifications trigger consumer aversion, despite the product^s environmental benefits. By moving beyond price-centric narratives, we propose a framework that situates consumer behavior within broader conversations on green agro-industry and bioeconomy transition. This paper calls for strategic interventions, ranging from visual nudges to institutional trust-building, to close the perception gap and realign consumption with sustainability goals. Keywords: Certification trust, Consumer resistance, Green consumer behavior, Organic bananas, Visual bias Share Link | Plain Format | Corresponding Author (Novi Haryati)

38	Agro-industrial system management and regulation	ABS-34
A Bibliometric Study of Strategies to Minimize Allergy Risk in Consumers Fermented Seafood ^Terasi^ Anita Wulandari1,4 , Siti Asmaul Mustaniroh1, Asep Awaludin Prihanto2 , Sucipto Sucipto1,3,5 1Department of Agroindustrial Technology, Faculty of Agricultural Technology, Brawijaya University, Jalan Veteran, Malang 65145, East Java, Indonesia 2) Department of Fishery Product Technology, Faculty of Fisheries and Marine Science, Brawijaya University, Jalan Veteran, Malang 65145, East Java, Indonesia 3) Halal-Qualified Industry Development (Hal-Q ID), Brawijaya University, Jalan Veteran, Malang 65145, East Java, Indonesia 4) Agroindustry Study Program, Vocational Faculty, Universitas 17 Agustus 1945 Surabaya, Jalan Semolowaru No. 45, Surabaya 60118, East Java, Indonesia 5) Centre for Halal Ecosystem Development (HED), Brawijaya University, Jalan Veteran, Malang 65145, East Java, Indonesia Abstract This study aims to explore strategies to minimise allergen risks for consumers, with a focus on seafood-based fermented products, one of which is shrimp paste. Seafood fermentation has high allergenic potential, which can cause serious allergic reactions, including anaphylaxis. Seafood products have significant nutritional benefits, but strict monitoring of allergen content is necessary to protect consumers. This article identifies four main research questions: (1) How common are allergies to fermented food products in traditional and modern markets? (2) Which countries have conducted the most research on allergens? (3) Who are the leading researchers in the field of allergens? and (4) Which articles most frequently discuss allergens? This study uses a bibliometric approach to identify trends in food allergen research and management strategies. The results of the analysis show that the use of probiotics in the fermentation process can reduce the allergenicity of seafood products, as well as the importance of strict regulation and consumer education to reduce the risk of allergies. Countries such as the United States, Japan, the United Kingdom, and China dominate this research, while developing countries such as Indonesia need to increase their contribution. This study highlights the importance of international collaboration, allergen management, and increased public awareness to create a safer environment for consumers. The implementation of these strategies requires cooperation between governments, producers, and consumers to ensure better food safety. Keywords: Allergy Risk- Bibliometric- Fermented Products- Food Safety- Research- Terasi. Share Link | Plain Format | Corresponding Author (Anita Wulandari)

39	Agro-industrial system management and regulation	ABS-38
Integrated PESTLE-FMEA-HOR Framework for Risk Prioritization and Mitigation in Honey-Based Agroindustry Wike Agustin Prima Dania(1*), Alfiatul Azizah Salsabila (1), Permana Aji Dhewasa Putra (1), Siti Asmaul Mustaniroh (1) 1) Faculty of Agricultural Technology, Universitas Brawijaya, Jalan Veteran, Malang 65145, Indonesia *Email: wikedania[at]ub.ac.id Abstract The honey-based agroindustry faces significant operational risks from both internal and external sources, threatening supply chain resilience and long-term sustainability. This study develops and applies an integrated framework combining Failure Mode and Effect Analysis (FMEA), House of Risk (HOR) Phase 1, and the 5W1H method to systematically identify, prioritise, and formulate actionable mitigation strategies for a honey-processing SME in Indonesia. Internal risks are categorised into process, people, system, and business domains, while external risks are assessed using the PESTLE framework (Political, Economic, Social, Technological, Legal, Environmental). From 25 identified risk events, severity, occurrence, and detection scores were used to compute Risk Priority Numbers (RPN). The top 80% of RPN values were analysed in HOR Phase 1 to calculate Aggregate Risk Potential (ARP) and identify key risk agents, which were then translated into targeted actions using 5W1H. Twelve priority risks accounted for 80.83% of total exposure, with climate change, economic recession, and inconsistent social media updates as the most critical. Proposed mitigations address climate adaptation, supply chain diversification, product innovation, and digital marketing optimisation. This integrated, resource-efficient framework directly links analytical prioritisation with implementation, offering a replicable model for enhancing resilience and sustainability in agroindustry SMEs. Keywords: FMEA- honey production- House of Risk- operational risk- PESTLE- risk assessment Share Link | Plain Format | Corresponding Author (Wike Agustin Prima Dania)

40	Agro-industrial system management and regulation	ABS-53
A Conceptual Framework for Sustainable Performance Evaluation in Agroindustry with Risk Considerations: Case Study in Cocoa Supply chain Miftahus Saadah1*, Imam Santoso1, Arif Hidayat1, Wike Agustin Prima Dania1 1 Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya Veteran Street, Malang, East Java, Indonesia *Email : miftahus92[at]gmail.com Abstract Sustainability in the cocoa agroindustry is challenged by a variety of interconnected risks, including fluctuating market prices, climate variability, labor issues, and institutional weaknesses. These risks can significantly impact performance across key sustainability dimensions. This study aims to develop a conceptual framework for identifying sustainable assessment performance in the cocoa sector through the integration of risk management principles. Employing a descriptive analysis approach supported by a comprehensive literature review, the research synthesizes existing models and frameworks related to sustainability and risk in agroindustrial systems. Key performance indicators (KPIs) are identified across five dimensions: economic, environmental, social, technical, and institutional. The study explores how risk factors intersect with each dimension, influencing overall sustainability outcomes. The proposed framework highlights the importance of early risk identification and structured assessment as foundational steps toward improving resilience and long-term sustainability in the cocoa value chain. The findings contribute to the theoretical foundation for future empirical research and provide practical insights for stakeholders including farmers, middleman, industry players, and policymaker to enhance sustainability through integrated risk-informed decision-making. Keywords: Agroindustry- Cocoa- KPI- Risk- Sustainability Share Link | Plain Format | Corresponding Author (Miftahus Saadah)

41	Agro-industrial system management and regulation	ABS-58
The Influence of Organizational Citizenship Behavior (OCB) and Employee Empathy on Job Satisfaction and Employee Performance (Study at CV XYZ) Endah Rahayu Lestari*, Liza Wulandari, Dila Friska Grasella 1 Department of Agroindustrial Technology, Faculty of Agricultural Technology, University of Brawijaya Jl. Veteran No. 1, Malang 65145, Indonesia *endahlestari24[at]ub.ac.id Abstract Human Resources (HR) are a critical asset that significantly contributes to a company^s ability to achieve its objectives. Effective human resource management can enhance both organizational performance and competitiveness. The quality of human resources is commonly reflected in employee satisfaction and performance. Key factors influencing employee performance include Organizational Citizenship Behavior (OCB), empathy, and job satisfaction. OCB refers to discretionary employee behaviors that exceed formal job responsibilities, while empathy denotes an individual^s ability to understand and share others^ emotions. Job satisfaction reflects an employee^s overall emotional response to their job. This study investigates the influence of OCB and employee empathy on job satisfaction and employee performance. The research was conducted among production department employees at CV XYZ. A purposive sampling technique was employed, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).The results demonstrate that both OCB and empathy have a positive and significant effect on job satisfaction and employee performance. Furthermore, job satisfaction serves as a mediating variable between OCB and employee performance, as well as between empathy and employee performance. These findings highlight the importance of fostering positive organizational behaviors and empathetic work environments to enhance employee outcomes. Keywords: Empathy- Employee Performance- Organizational Citizenship Behavior (OCB). Share Link | Plain Format | Corresponding Author (Endah Rahayu Lestari)

42	Agro-industrial system management and regulation	ABS-66
Applying Business Model Canvas and SWOT-AHP to Enhance MSMEs Competitiveness (Case Study of Local Snack Production in Eastern Indonesia) Ardine Zada Artanti*, Panji Deoranto, Susinggih Wijana Department of Agro-industrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya Jl. Veteran, Malang 65145, Indonesia *ardinezada[at]student.ub.ac.id Abstract Micro, Small, and Medium Enterprises (MSMEs) are pivotal to local economic development, yet many struggle with ineffective business models and limited growth strategies. This study investigates Binonmeto MSME in Timor Tengah Selatan, Indonesia, a rural enterprise producing corn-based tortilla chips that has yet to maximize market opportunities and ensure long-term sustainability. The research integrates the Business Model Canvas (BMC), SWOT-based Internal-External (IE) matrix, and Analytical Hierarchy Process (AHP) to provide a structured strategic framework. Data were collected through qualitative and quantitative methods involving four expert respondents, with analytical processing conducted using Expert Choice 11. Results indicate that out of seven identified strategies, the highest priority is distribution expansion, followed by leveraging e-commerce and enhancing digital branding. Furthermore, nine contextual BMC elements are proposed to address local socio-economic dynamics. This integrative approach demonstrates the adaptability of BMC-SWOT-AHP in guiding the development of agribusiness-based MSMEs, reinforcing competitiveness through innovation, community engagement, and digital transformation. Policy recommendations include longitudinal validation of strategies and targeted government interventions to improve access to finance and digital skills training. Keywords: AHP- BMC- development strategy- MSME- SWOT Share Link | Plain Format | Corresponding Author (Ardine Zada Artanti)

43	Agro-industrial system management and regulation	ABS-67
Integrating Business Model Canvas and SWOT-ANP for Strategic Development of Micro and Small Corn Tortilla Enterprises in Rural Indonesia Meylisa Maulidia Maheswari*, Panji Deoranto, Siti Asmaul Mustaniroh Department of Agro-industrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya Jl. Veteran, Malang 65145, Indonesia *meylisamaheswari13[at]gmail.com Abstract UMK Trans Kapitan Meo is a corn-based processing microenterprise located in Kapitan Meo Village, Malaka Regency, East Nusa Tenggara, Indonesia, with its primary product being corn tortillas. Despite its significant potential in supporting local food security and rural economic empowerment, the enterprise faces several challenges, including limited capital, inadequate infrastructure, and restricted distribution networks. This study aims to analyze the current business model of the enterprise using the Business Model Canvas (BMC), formulate alternative development strategies through SWOT analysis, and determine strategic priorities using the Analytical Network Process (ANP) method. A descriptive-quantitative case study approach was employed, involving observations, interviews, questionnaires, and document analysis. The results identified eight development strategies, with two top priorities: improving product quality (17.7%) and seeking alternative funding sources, such as crowdfunding, local investors, or government assistance programs (15.3%). The study recommends enhancing product quality through process innovation and quality standardization, as well as strengthening access to funding via strategic partnerships and digital platforms. These strategies are considered replicable by similar microenterprises operating in other rural regions facing comparable challenges. Keywords: Analytical Network Process- Business Model Canvas- development strategy- microenterprise- SWOT Share Link | Plain Format | Corresponding Author (Meylisa Maulidia Maheswari)

44	Agro-industrial system management and regulation	ABS-68
Technical and Financial Feasibility Analysis of Corn Tortilla Production (Case Study at UMK Trans Kapitan Meo, Laenmanen District, Malaka Regency) Rizky Anggrio Alnov Ramadhan (1*), Panji Deoranto (2), Andan Linggar Rucitra (3) Department of Agro-industrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya Jl. Veteran, Malang 65145, Indonesia *rizkyanggrio[at]gmail.com Abstract Kapitan Meo Village, located in Laenmanen District, Malaka Regency, is an autonomous region designated as a strategic national transmigration area. Corn (Zea mays L.), the region^s leading commodity, is processed by UMK Trans Kapitan Meo into functional food products, with corn tortillas as the flagship item. The sustainability and feasibility of this enterprise are crucial to ensure its survival and growth amid market competition. This study aims to assess business feasibility in terms of technical and financial aspects. Findings indicate that the enterprise is viable. The location is strategically close to raw materials and markets, with adequate transportation access. Production capacity is systematically planned, raw materials are sufficient, and a batch production process is applied. Utility needs are fulfilled, raw material, equipment, and worker sanitation are maintained, and waste is properly managed. Equipment is functionally appropriate, the process layout follows a process layout type with a zig-zag flow, and a line organization structure is implemented. The cost of production is Rp5,197, selling price Rp8,000 (54% mark-up), BEP is 1,747 units or Rp13,971,128, The R/C ratio is 1.539 or greater than 1. The NPV is positive (Rp 10,527,083 > 0). The IRR exceeds the interest rate (46.54% > 12%). The Payback Period is 630 days. Keywords: corn tortillas- feasibility study- financial analysis- technical analysis Share Link | Plain Format | Corresponding Author (Rizky Anggrio Alnov Ramadhan)

45	Agro-industrial system management and regulation	ABS-69
Optimization of Coffee Raw Material Inventory Control Using Continuous Review Method with Particle Swarm Optimization (PSO) (Case Study at PT Harta Mulia, Blitar) Usman Effendi, Mas^ud Effendi, Arif Hidayat, Muhammad Arif Kamal, Farras Nafisa* Department of Agroindustrial Technology, Faculty of Agricultural Technology, University of Brawijaya Jl. Veteran No. 1, Malang 65145, Indonesia *farrasnafisa[at]student.ub.ac.id Abstract The consumption of ground coffee in Blitar reached 0.170 tons in 2022 and increased by 29.4% to 0.220 tons in 2023. This growth in consumption presents a significant opportunity for ground coffee producers to expand their market and increase sales. PT Harta Mulia, a company engaged in the production of ground coffee located in Blitar Regency, currently meets its raw material needs through a procurement system that often risks running out of stock or overstocking. Therefore, optimizing raw material inventory control is essential to prevent both shortages and overstocking, thereby minimizing total inventory costs. This study applies a continuous review system and Particle Swarm Optimization (PSO) method to determine the optimal order quantity and reorder point. The optimization of these two variables is conducted using the PSO algorithm to obtain the best solution that minimizes total inventory costs. PSO parameters-including the number of particles, acceleration coefficients for pBest and gBest, inertia weight, and maximum velocity-are tested to determine the most effective parameter combination for achieving the optimal solution. The inventory control optimization using PSO in this study yields an optimal order quantity of 2,608.8 kg and an optimal reorder point of 339.2 kg, reducing the total annual inventory cost to IDR 3,824,673,359.52. This solution is achieved using the following PSO parameters: 250 particles, inertia weight of 0.5, acceleration coefficients of 2.5 for both pBest and gBest, and a maximum velocity of 850. The optimization results in a total inventory cost reduction of 22.89%, with a 45.89% decrease in holding costs. Keywords: continuous review system, inventory control, PSO Share Link | Plain Format | Corresponding Author (Usman Effendi)

46	Agro-industrial system management and regulation	ABS-70
Building Resilient Coffee Agroindustry Supply Chains: A Fuzzy-Based HOR Model for Risk Evaluation Rizkiyah Isnaini 1, Imam Santoso 1* , Arif Hidayat 1, Rizky Luthfian Ramadhan Silalahi 1 1 Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya, Jl. Veteran No.10-11, Malang 65145, Indonesia *Email: imamsantoso[at]ub.ac.id Abstract Effective risk management is essential for sustaining the performance and resilience of agro-industrial supply chains, particularly in sectors heavily reliant on smallholder participation. This study investigates risk identification and mitigation within the coffee agroindustry by focusing on three key actors: farmers, processing units, and roasteries. The research begins with a detailed mapping of operational tasks and activities performed by each actor along the supply chain. From this mapping, potential risk events are systematically identified based on their association with specific activities. The identification process revealed 24 distinct risk agents (RA) affecting various stages of the supply chain. To assess and prioritize these risks, the study employs the House of Risk (HOR) framework, integrated with fuzzy logic to address the inherent subjectivity and ambiguity in expert assessments. Risk evaluation is based on severity, occurrence, and correlation and produced an Aggregate Risk Potential (ARP) score for each agent. The fuzzy HOR analysis identified seven high-priority risk agents : Transport Issues (RA2- ARP 454.76), Weather and Climate Change (RA6- ARP 1467.50), Pest/Disease Attack (RA7- ARP 607.66), Lack of Drying Equipment (RA10- ARP 614.00), Market Fluctuation (RA12- ARP 302.00), Low Production Capacity (RA13- ARP 614.00), and Limited Workforce (RA14- ARP 463.33). For these prioritized risks, targeted mitigation strategies are proposed, including actor-specific preventive measures, improved coordination mechanisms among supply chain participants, and capacity development interventions. The findings contribute to a deeper understanding of risk dynamics in the coffee agroindustry and offer practical insights for enhancing supply chain resilience, particularly within smallholder-driven production systems. Keywords: Agroindustry resilience- Coffee supply chain- Fuzzy logic- House of risk- Risk assessment Share Link | Plain Format | Corresponding Author (Rizkiyah Isnaini)

47	Agro-industrial system management and regulation	ABS-79
A Systematic Literature Review of Analytical Hierarchy Process (AHP) Applications in Consumer Decision Making for Agri-Food Products Aulia Bayu Yushila 1*, Hanif Naufal Ahmi 1, Hidayatun Muyasyaroh 1, Febriani Lukitasari 1, Luthfiyah Nurlaela 1, Panji Deoranto 2, and Garin Nafisah Karina 3 1 Culinary Education Study Program, Faculty of Engineering, Universitas Negeri Surabaya, 60231 Surabaya, Indonesia *auliayushila[at]unesa.ac.id 2 Department of Agro-industrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya, 65145 Malang, Indonesia 3 Community Empowerment Unit, Research and Technology Transfer, Binus University, 11530 Jakarta, Indonesia Abstract The agri-food sector plays a critical role in ensuring food security and economic growth. Consumer decision making in this sector is inherently complex, as purchasing choices involve multiple criteria such as product quality, safety, and price. Analytical Hierarchy Process (AHP) has emerged as a widely used Multi Criteria Decision Making method to structure and prioritize these complex choices. However, despite its extensive application in supplier selection and production planning, a systematic synthesis of AHPs role in evaluating consumer decision making for agri-food products remains limited. This study aims to systematically review and synthesize the application of AHP and its variants in evaluating consumer decision making for agri-food products. Following the PRISMA protocol, a total of 471 records were retrieved from Scopus and Google Scholar, with 22 studies meeting the inclusion criteria. The review identifies seven dominant categories of decision making criteria: sensory attributes, economic factors, product quality, packaging, accessibility, service quality, and consumer awareness. Sensory factors, particularly taste and aroma, alongside price and product quality, consistently emerge as key determinants of consumer choice. This SLR uniquely contributes to understanding consumer decision making in agri-food systems, identifying critical decision criteria, providing critical insights for producers to develop consumer aligned strategies. Keywords: Analytical Hierarchy Process (AHP)-Consumer Decision-Making-Agri-Food Products-Systematic Literature Review Share Link | Plain Format | Corresponding Author (Aulia Bayu Yushila)

48	Agro-industrial system management and regulation	ABS-102
Optimization Methodologies for Sustainable Risk Management in Agricultural Sector: A Systematic Review Fara Darojati1, Imam Santoso 1*, Yi-Chun Peng2, Arif Hidayat1, Wendra Gandhatyasri Rohmah1,2 1) Department of Agroindustrial Technology, Faculty of Agriculture Technology, Universitas Brawijaya, 1 Veteran St, Malang, East Java 65145, Indonesia *Email: imamsantoso[at]ub.ac.id 2)Department of Industrial and Systems Engineering, Chung Yuan Christian University, No. 200, Zhongbei Road, Zhongli District, Taoyuan City 32023, Taiwan Abstract The rapid growth of the global population and the escalating impacts of climate change have posed significant challenges to sustainable risk management in the agricultural sector. However, previous studies have not comprehensively integrated risk variables, optimization methods, and effectiveness evaluation criteria within a unified systematic framework. This study aims to identify key variables, optimization techniques, and evaluation indicators in sustainable agri-sector risk management, while also determining the most effective optimization approaches. A Systematic Literature Review was conducted following the PRISMA 2020 protocol, with searches performed in the Scopus and Web of Science databases. Out of 2,193 initial records, 50 articles met the inclusion criteria and were thoroughly analyzed. The results reveal that economic and environmental aspects are the most dominant objectives, with hybrid optimization models being the most widely applied. The most frequent application areas include Nexus Sustainability Systems and Water Resource Management. The optimization techniques employed range from mathematical programming and metaheuristics to artificial intelligence, with effectiveness indicators such as water efficiency, carbon emissions, and profitability. This study provides an integrative framework for adaptive decision-making in the agricultural sector and recommends the adoption of hybrid approaches to better address the complexity and multidimensionality of sustainable agricultural risk management. Keywords: Optimization methods- Risk management- Sustainability- Agricultural sector Share Link | Plain Format | Corresponding Author (Fara Darojati)

49	Agro-industrial system management and regulation	ABS-109
Maintenance System of Auto Premade Bag Filling Machine Using Overall Equipment Effectiveness (OEE) and Total Productive Maintenance (TPM) at PT X Henri Budiman (a*), Andan Linggar Rucitra (b) a) Faculty of Agricultural Technology, Universitas Brawijaya Jalan Veteran Malang, Jawa Timur 65145, Indonesia *henribudiman436[at]student.ub.ac.id b) Faculty of Agricultural Technology, Universitas Brawijaya Jalan Veteran Malang, Jawa Timur 65145, Indonesia Abstract PT X is a company that produces choco crunchy. The choco crunchy production process involves various work stations, one of which is packaging. The machines used to package choco crunchy at PT X are Auto Premade Bag Filling machines, consisting of Machine A and Machine B. A good maintenance system for both machines is essential to maintain optimal performance, increase productivity, and overall effectiveness. The method used to determine the effectiveness of the Auto Premade Bag Filling machine is Overall Equipment Effectiveness (OEE). This method aims to identify machine performance based on availability, performance, and quality indicators. The OEE results were 75.82% for Machine A and 68.60% for Machine B. The average OEE for both machines is below the world class standard of 85%. This indicates that improvements are needed to increase machine effectiveness. Improvements can be made by implementing the 8 pillars of Total Productive Maintenance (TPM). Implementing the 8 pillars of TPM can increase the effectiveness of the Auto Premade Bag Filling machine in producing choco crunchy at PT X. Keywords: Maintenance system- Overall Equipment Effectiveness (OEE)- Total Productive Maintenance (TPM) Share Link | Plain Format | Corresponding Author (Henri Budiman)

50	Agro-industrial system management and regulation	ABS-113
Carbon Footprint of the Upstream Sugarcane Supply Chain: A Life Cycle Assessment Case Study of Harvesting, Loading, and Hauling Activities Aunur Rofiq Mulyarto 1*, Novika Edilyas Ramadhina 1, Sri Suhartini 2, Imam Santoso 2, Sucipto 2 1 Laboratory of Computing and Agroindustrial Systems, Faculty of Agricultural Technology, Universitas Brawijaya, Jl. Veteran Malang 65145, Indonesia 2 Departement of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya, Jl. Veteran Malang 65145, Indonesia *Email: aunurrm[at]ub.ac.id Abstract The Harvesting, Loading, and Hauling (TMA) process comprises a crucial set of activities within the upstream sugarcane supply chain, with the potential to generate a significant carbon footprint. This study aims to evaluate and identify the primary contributors to the carbon footprint of the TMA process through a case study at the Modjopanggoong Sugar Mill in Indonesia. The analysis was conducted using a Life Cycle Assessment (LCA) approach with a cradle-to-gate system boundary, covering three main activities: manual harvesting-loading, open field burning, and transportation. The impact assessment focused on Global Warming Potential (GWP) using OpenLCA software. The results show that the total carbon footprint from these three activities amounts to 5,711,169 kg CO2-eq over a single milling season. Truck transportation was identified as the primary emission hotspot, contributing 60.8% of the total carbon footprint, followed by open field burning (28.5%) and manual harvesting-loading (10.7%). This finding indicates that emission mitigation efforts in the upstream sugarcane supply chain should prioritize route optimization and fuel efficiency for the transportation fleet. Keywords: Carbon Footprint- Life Cycle Assessment (LCA)- Upstream Supply Chain- Sugarcane- Agricultural Logistics Share Link | Plain Format | Corresponding Author (Aunur Rofiq Mulyarto)

51	Agro-industrial system management and regulation	ABS-120
Data-Driven Approaches to Coffee Quality Prediction: A Research Synthesis Danang Triagus Setiyawan 12*, Moses Laksono Singgih 2, I Ketut Gunarta 2 1 Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia 2 Department of Industrial and Systems Engineering, Institut Teknologi Sepuluh Nopember (ITS), Jl. Raya ITS, Surabaya 60111, Indonesia *Email: danangtriagus[at]ub.ac.id Abstract This study provides a comprehensive synthesis of research on data-driven approaches for predicting coffee quality. The review highlights how diverse machine learning methods have been applied to generate reliable predictions, improve decision-making, and support quality management practices. The synthesis covers issues such as handling imbalanced datasets, probability calibration, evaluation metrics, and the balance between interpretability and predictive performance. Comparative findings across methods including logistic regression, random forest, and gradient boosting are discussed in terms of discrimination power, calibration strength, and practical deployment. The results demonstrate that data-driven models can offer both accuracy and transparency when appropriately designed, making them valuable tools for routine coffee quality assessment and management. Keywords: calibration- coffee quality prediction- datadriven approaches- interpretability- machine learning- quality management Share Link | Plain Format | Corresponding Author (Danang Triagus Setiyawan)

52	Agro-industrial system management and regulation	ABS-125
USER EXPERIENCE-DRIVEN ANALYSIS OF APPLICATION ADOPTION BARRIERS: A TOE FRAMEWORK Sucipto Sucipto1*,5, Mahmuddin Ridlo1, Herman Tolle2, Sumardi Hadi Sumarlan3, Ahmad Syihab Fahmil Qowim4 1Department of Agro-Industrial Technology - Faculty of Agricultural Technology - Universitas Brawijaya Jl. Veteran - Malang 65145 2Department of Informatics Engineering - Faculty of Computer Science - Universitas Brawijaya Jl. Veteran - Malang 65145 3Department of Biosystems Engineering - Faculty of Agricultural Technology - Universitas Brawijaya Jl. Veteran - Malang 65145 4Department of Fisheries and Marine Resources Management - Faculty of Fisheries and Marine Science - Universitas Brawijaya Jl. Veteran - Malang 65145 5Centre for Halal Ecosystem Development (HED) - Universitas Brawijaya Jl. Veteran - Malang 65145 *Corresponding Author, email : ciptotip[at]ub.ac.id Abstract Issues in user experience (UX) evaluation can be a barrier to adopting application innovations from the government or service providers. Issues based user experience evaluation to understand application implementation and barriers is crucial to formulating targeted adoption strategies for industry and business stakeholders. This systematic literature review (SLR) study aims to develop a framework for analysing barriers for application adoption based on user experience. Based on the Technology-Organization-Environment (TOE) framework, serving as a structured approach for future research on diagnosing and addressing digital technology adoption barriers. Keywords: Adopstion Barrier, Application, TOE, User Experience, Share Link | Plain Format | Corresponding Author (mahmuddin ridlo)

53	Agro-industrial system management and regulation	ABS-138
Integrated Halal Assurance and Food Safety Management: A High-Performance Model for Perishable Products Nadilatul Muchtasibah 1, Retno Astuti 1, 2, Sucipto* 1, 2, 3 1)Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia 2)Halal-Qualified Industry Development (Hal-Q ID), Faculty of Agricultural Technology, Universitas Brawijaya, Malang 65145, Indonesia 3)Halal Ecosystem Development (HED) Universitas Brawijaya, Malang 65145, Indonesia *Email: ciptotip[at]ub.ac.id Abstract Integrating the Halal Product Assurance System (HPAS) with Food Safety Management Systems (FSMS) is essential for ensuring that food products are safe, high-quality, and halal-compliant. This study examines the implementation of an integrated model combining HPAS, ISO 22000:2018, and Hazard Analysis Critical Control Point (HACCP) in a perishable products company. Data were gathered through document review, direct observation, and structured questionnaires, with performance evaluated using the Fuzzy Analytical Hierarchy Process (FAHP) and a composite index. The assessment covered twelve key performance indicators: documentation, human resource roles, food safety culture, logistics and storage, risk control, productivity, customer satisfaction, labeling and branding, product quality, waste minimization, hygiene and sanitation, and Halal Product Process (HPP) implementation. Results show a performance score of 92%, categorized as excellent. The company maintains stringent hygiene and sanitation measures at every stage-from raw material receipt to final distribution-minimizing contamination risks and preserving halal integrity. The integrated system has proven effective, supported by the recognition that perishable materials demand disciplined and continuous control. This integration also strengthens consumer trust and market competitiveness. The findings provide practical insights for perishable food industries seeking to implement a high-performance halal-food safety integration model that supports operational excellence and long-term sustainability. Keywords: food safety - halal - integration - key performance indicators - management system Share Link | Plain Format | Corresponding Author (Nadilatul Muchtasibah)

54	Agro-industrial system management and regulation	ABS-140
Risk Mitigation Strategies for the Sustainable Supply Chain of Herbal Product : Integration SCOR-FMEA Siti Asmaul Mustaniroh*, Arya Maulana, Andan Linggar Rucitra, Naila Maulidina Lu^ayya Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya, Building F, 5th floor, Veteran St. Malang, East Java, Indonesia 65145 *asmaul_m[at]ub.ac.id Abstract Batu City has significant potential for cultivating diverse plants, with empon-empon (traditional herbal plants) production increasing by 3.6% in 2023 compared to 2022. This growth supports the expansion of derivative product manufacturing, which continues to attract market demand. SME Jamu XYZ, a producer of empon-empon-based herbal medicine, relies on a sustainable supply chain for business continuity. At the supplier level, economic challenges include price fluctuations and substandard raw material deliveries, with about 20% damaged or unusable, causing financial losses. The short shelf life of finished products further raises the risk of losses if sales are delayed. At the enterprise level, social challenges arise from consumer perceptions that traditional products are less appealing than other health products. Environmentally, untreated disposal of empon-empon residue risks pollution.This study identifies and prioritizes risks and proposes mitigation strategies for the sustainable empon-empon herbal medicine supply chain at SME XYZ using the Supply Chain Operations Reference (SCOR) model and Failure Mode and Effect Analysis (FMEA). The SCOR model maps risks across supply chain activities while integrating sustainability aspects. FMEA evaluates risks based on Severity, Occurrence, and Detection to generate Risk Priority Numbers (RPN), which are ranked using Pareto analysis. Four priority risks were identified for each actor: collectors (E14, E15, E21, E20), traders (E1, E10, E13, E14), and SME XYZ (E6, E7, E17, E18). These indicate critical vulnerabilities requiring immediate action. Future research should focus on targeted, actionable strategies to strengthen supply chain resilience and sustainability. Keywords: FMEA- Risk Mitigation- SCOR- Supply Chain- Sustainable Share Link | Plain Format | Corresponding Author (Siti Asmaul Mustaniroh)

55	Agro-industrial system management and regulation	ABS-142
Demand Forecasting for Fruit Chips: A Comparative Study of GRU and LSTM Models Masud Effendi (*), Tiyo Ananda Rizky Bachtiar Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya Veteran Street, Malang, East Java, Indonesia *mas.ud[at]ub.ac.id Abstract The demand for fruit chip products at CV. Puri Pangan Lestari in Malang, Indonesia, shows a volatile, increasing trend, posing a challenge for effective inventory and production management. To address this fluctuation, this study aims to perform multivariate demand forecasting by comparing the accuracy of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models. A multivariate forecasting approach was chosen to account for the interacting demands of jackfruit, snake fruit, and apple chips as influential variables. The data used for the research spans from May 2020 to December 2024. The study follows a series of steps, from data exploration and normalization to model compilation, training, and accuracy evaluation using MAPE metrics. The results consistently show that the multivariate GRU model outperforms the LSTM model. The optimal GRU model for jackfruit chip demand achieved an MAPE of 22.29%, while the best models for snake fruit and apple chips obtained MAPE values of 12.96% and 11.84%, respectively. The higher accuracy of the GRU model can be attributed to its simpler yet effective architecture. This research concludes that the multivariate GRU model is a more accurate and efficient approach for forecasting the demand for fruit chips at CV. Puri Pangan Lestari. Keywords: Demand Forecasting- Fruit Chips- GRU- LSTM- Multivariate Share Link | Plain Format | Corresponding Author (Masud Effendi)

56	Bioeconomy in agro-industry	ABS-76
Comparison of Conventional and Novel Extractants for Carotenoid and Phenol Extraction from Agricultural and Food Waste Sanja Schwalb, Mario Kerst (*), Matthias Kleinke, Simone Pauling Rhine-Waal University of Applied Sciences, Faculty of Life Sciences, Marie-Curie Strasse 1, Kleve, Germany *Mario.Kerst[at]hochschule-rhein-waal.de Abstract Carotenoids, prized for their antioxidant properties and vibrant colors, are widely used in the food, pharmaceutical, and cosmetic industries. Vegetable waste offers a sustainable, low-cost source of these bioactive compounds, aligning with circular economy principles and waste valorization strategies. This study evaluates the extraction efficiency of carotenoids from several types of vegetable waste using three solvents: acetone, ethyl acetate, and a deep eutectic solvent (DES). The investigation focuses on the comparison of conventional solvents with the novel DES approach. Acetone and ethyl acetate are well-established for the extraction of lipophilic compounds due to their efficient solubilization of hydrophobic molecules. In our experiments, acetone exhibited the highest yield per extraction, attributable to its strong solvent affinity, followed by ethyl acetate, which produced a comparable yield. In parallel, a DES composed of betaine and glycerol was employed as an environmentally friendly alternative, reflecting recent advances in green solvent technology. DESs offer advantages such as low toxicity, safer handling, and biodegradability, making them ideal candidates for sustainable extraction processes. Furthermore, by combining DES and ethyl acetate in a biphasic extraction process, carotenoids and phenols can be extracted simultaneously. The two extractants can then be separated by simple phase separation. The results demonstrate that the use of DESs can be a promising green alternative for the extraction of carotenoids from vegetable waste, offering a balance between efficiency and sustainability. By comparing these three solvent systems, this study contributes to the development of optimized, eco-friendly extraction protocols that facilitate the valorization of agricultural by-products. Keywords: agricultural waste- carotenoids- deep eutetic solvents- food waste- phenol Share Link | Plain Format | Corresponding Author (Mario Kerst)

57	Bioeconomy in agro-industry	ABS-97
Smart Valorization of Melinjo Byproducts: Sensory-Optimized Dual-Component Broth Development for Circular Bioeconomy Natasya Nurhaliza, Farhan Ilham Wira Rohmat*, Yatti Sugiarti, Sri Handayani, Dewi Nur Azizah, Nita Nur Rezkia Agroindustrial Technology Education, Faculty of Engineering and Industrial Education, Universitas Pendidikan Indonesia Jalan Dr. Setiabudhi No. 229, Bandung 40154, Indonesia *Email: farhanrohmat[at]upi.edu Abstract The processing of melinjo (Gnetum gnemon L.) generates organic waste in the form of discarded peels and leaves, which presents an opportunity for circular bioeconomy development through a smart valorization approach. This study aimed to develop a dual component broth formulation from melinjo waste that was sensorially optimized and to evaluate consumer acceptance in support of sustainable agroindustry. Three formulations were systematically designed: A1 (90% peel : 10% leaves), A2 (50% peel : 50% leaves), and A3 (10% peel : 90% leaves). Comprehensive sensory evaluation was conducted using a 4 point hedonic scale with 21 panelists who assessed attributes of color, scent, taste, texture, and aftertaste. Data were analyzed using one way ANOVA with Tukey HSD post hoc test. Results showed that formulation A1 achieved the highest overall acceptance score (2,84) compared to A2 (2,82) and A3 (2,76). The acceptance of individual test variables demonstrated varied dominance patterns across formulations. Color acceptance was superior in A1 (3,19), scent in A2 (2,90), taste in A3 (2,57), texture in A2 (2,95), and aftertaste in A1 (2,86). This dual component valorization approach successfully transformed agricultural waste into a consumer-acceptable functional food product, demonstrating significant potential for circular bioeconomy implementation and sustainable agroindustry development while creating economic value from previously discarded waste. This research supports SDGs 2.4 and 12.3 through melinjo waste transformation into functional products, creating a circular bioeconomy that reduces food waste and enhances sustainable agricultural practices. Keywords: Circular Bioeconomy- Melinjo Waste Processing- Sensory Evaluation- Sustainable Agroindustry- Waste Transformation Share Link | Plain Format | Corresponding Author (Farhan Ilham Wira Rohmat)

58	Bioeconomy in agro-industry	ABS-134
Extraction and Kinetic Model of Young Coconut Coir Tannin (Cocos nucifera L.) using the Pressurized Solid Liquid Extraction Method Nur Lailatul Rahmah*, Lucky Wiratama, Sukardi, Hendrix Yulis Setyawan Agro-idustrial Technology Department, Faculty of Agricultural Technology, Universitas Brawijaya Jalan Veteran, Malang 65145, East Java, Indonesia *nur_laila[at]ub.ac.id Abstract Total production of plantation crops of coconut (Cocos nucifera L.) in Indonesia at 2024 was 2.822.120 tons and about 25% was coconut coir. Coconut coir is part of the coconut fruit that has not been utilized properly, especially its bioactive compound. Tannins are one of the bioactive compounds in coconut coir which are included in the polyphenol class. Tannin compounds have several functions, one of which is antioxidant. Extraction is a method that can be done to obtain tannins from coconut coir. This research was conducted using the pressurized liquid solid extraction method. The purpose of this study was to determine the effect of extraction time on yield, antioxidant content, levels of tannins produced and to determine the kinetic model of tannin extraction. The study used a randomized block design with 6 treatments of extraction time, namely 10, 15, 20, 25, 30, and 35 minutes and used water as solvent. Based on the research results, extraction time had a significant effect on the yield of the extracts, but the antioxidant and tannin levels had no significant effect. Highest yield and tannin content (28.02 mg TAE / g) were obtained at 35 minutes extraction time. The best antioxidant value was produced at 35 minutes extraction time with IC50 value was 11.85 ppm. Peleg^s model is the most appropriate model (R2 was 0.971) to describe tannin extraction using pressurized liquid solid extraction method with Peleg^s rate constant was 0.731 min g/mg TAE and Peleg^s capacity constant was 0.017 g/mg TAE compared to other models. Keywords: Antioxidant- Kinetic model- Pressurized Liquid Solid Extraction- Tannin Young Coconut Coir Share Link | Plain Format | Corresponding Author (Nur Lailatul Rahmah)

59	Bioeconomy in agro-industry	ABS-152
THE POTENTIAL OF KONJAC FLOUR WASTE FOR LACTIC ACID PRODUCTION THROUGH BACTERIAL FERMENTATION Donna Jasmine Yoelinda1, Latifaturrohmah1, Sudarma Dita Wijayanti1 and Aji Sutrisno2* 1Department of food science and Biotechnology, Faculty of Agricultural Technology, Universitas Brawijaya, Malang, Indonesia 2Porang Research Center, Universitas Brawijaya, Malang, Indonesia *Email: aji_sutrisno[at]ub.ac.id Abstract Konjac flour production generates solid waste, known as tobiko. In the production of konjac flour, 50-60% is converted into konjac flour and the remaining 40-50% produced as waste. Despite being classified as waste, tobiko is rich in carbohydrates, glucomannan, and other organic components, which make tobiko a highly potential substrate for microbial fermentation, particularly lactic acid fermentation. The rising demand for lactic acid in the past few years-driven by its application for biodegradable and eco-friendly products-has led to the improvements in lactic acid production to achieve high yields and quality of lactic acid. This study analyzed the potential of tobiko hydrolysate as a carbon source for lactic acid production using two lactic acid bacteria strains, L. lactis and L. plantarum. The fermentation conditions were carried out in 200 mL of tobiko hydrolysate with 5% (v/v) culture bacteria at 37 celcius, 125 rpm for four days. Growth kinetics, investigated via optical density at 600 nm, showed rapid growth within the first 24 hours, followed by a stationary phase. The pH decreased constantly throughout fermentation, indicating an increase in acid content. L. lactis achieved total acid yields of 1.26% - 2.83%, while L. plantarum produced 1.35% - 2.92%. These findings show that tobiko hydrolysate is a promising substrate for lactic acid bacteria metabolism and lactic acid production. Utilizing agroindustrial waste not only addresses environmental issues, but also supports the principles of a green economy and a circular economy. Future research needs to focus on optimizing the hydrolysis and scaling up the fermentation process. Keywords: Fermentation- Hydrolysis- LAB- Lactic Acid- Tobiko Share Link | Plain Format | Corresponding Author (Aji Sutrisno)

60	Food science and biotechnology	ABS-1
Please Just Try to Submit This Sample Abstract Please Just Try to Submit This Sample Abstract Please Just Try to Submit This Sample Abstract You Can Edit It Again Later Abstract Please Just Try to Submit This Sample Abstract You Can Edit It Again Later Keywords: Please Just Try to Submit This Sample Abstract- coba coba- try try Share Link | Plain Format | Corresponding Author (Tsabita Shifa)

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