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All Journal JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Multidisciplinary Indonesian Center Journal Jurnal Inkofar
Nadiya Maharani
Politeknik META Industri Cikarang
Religion Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health Other

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Analisis Sistem Logistik Rantai Pasok Substitusi Bahan Baku PLTU Batu Bara Menggunakan Soft System Methodology (SSM) Wan Habibi Rahman Barus; Iphov Kumala Sriwana; Nadiya Maharani; Muhammad Alif Ihsan
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 11, No 1 (2026): Januari 2026
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v11i1.5117

Abstract

The use of coal as the primary raw material for Steam Power Plants (PLTU) poses serious challenges related to sustainability, particularly due to high emissions, pollution risks, and supply chain dependence on non-renewable energy sources. Partial coal substitution with biomass is considered an effective strategy to reduce environmental impacts while supporting new and renewable energy targets. This study aims to analyze the potential of palm oil solid waste, wood pellets, and charcoal briquettes as coal substitutes using the Soft System Methodology (SSM) approach. The study follows seven SSM stages, starting from problem identification, compiling a problem description, formulating a root definition, CATWOE analysis, building a conceptual model, a debating process, and recommending corrective actions. The analysis results indicate that biomass substitution is feasible if supported by an integrated logistics system, the availability of biomass supplies, and compliance with the technical specifications for PLTU combustion. Biomass from palm oil waste, wood waste, and agricultural residues has a fairly stable energy value and can be obtained through a more environmentally friendly supply chain. Overall, this study confirms that the SSM approach is effective in understanding the complexity of coal-fired power plant problems and formulating renewable energy-based solutions through strengthening the biomass logistics system.Keywords - Biomass, PLTU, Renewable Energy, Soft Systems Methodology, Supply Chain Logistics.
SUPPLY CHAIN ANALYSIS OF PANGASIUS (PATIN) FISH USING THE FOOD SUPPLY CHAIN NETWORK (FSCN) APPROACH AND COST-PLUS PRICING IN SAGULING VILLAGE Nadiya Maharani; Fadil Abdullah; Indra Mahyudi S
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 3 (2026): Vol. 03 No. 3 Edisi Juli 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i3.2601

Abstract

This study aims to determine the optimal strategy for managing the supply chain of Pangasius (catfish) in Saguling Village, West Bandung Regency. The study applies the Food Supply Chain Network (FSCN) approach and Cost Plus Pricing to evaluate supply chain effectiveness and determine appropriate product pricing. Data were collected through observation, interviews, and documentation involving 50 respondents, consisting of fish farmers, middlemen, wholesalers, and market traders. The results indicate that the Pangasius distribution system still involves multiple intermediaries, resulting in relatively weak bargaining power for fish farmers. The distribution process takes approximately 1–2 days and is constrained by limited cold storage facilities, which affects product quality. Cost analysis shows that the cost of production is IDR 20,239.15 per kg, while the ideal selling price is IDR 22,263.06 per kg, with a profit margin of 10%. Improvements in the distribution system, better access to market information, and enhanced logistical support are necessary to increase distribution efficiency and improve farmers’ profitability.
Dynamic Programming-Based Distribution Route Optimization with WinQSB and Field Validation in a Footwear SME Nadiya Maharani; Fadil Abdullah; Wan Habibi Rahman Barus; Muhammad Alif Ihsan
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Background Product distribution is a logistics activity that affects the operational efficiency of MSMEs, particularly in the footwear industry in the Cibaduyut area of Bandung. The main problem identified is the lack of standardized distribution routes, resulting in deliveries still being based on drivers’ intuition. This situation leads to inconsistent routes, fuel waste, and inefficient delivery times Purpose This study aims to optimize distribution routes using the Dynamic Programming method, validated with WinQSB, and compared against the Traveling Salesman Problem (TSP) and Dijkstra’s Algorithm. Methodology The methodology employed is an applied quantitative approach using data on distances between distribution points, travel time, fuel consumption, and GPS tracking. Findings The optimization results show a reduction in distribution distance from 35.2 km to 26.8 km and in delivery time from 82 minutes to 61 minutes. Efficiency improvements were 23.86% for distance, 25.61% for time, and 24.26% for fuel costs. Validation using WinQSB and GPS data confirmed that the optimization results align with field conditions. Implications The proposed route optimization provides a practical decision-support tool for MSMEs to improve distribution efficiency, reduce transportation costs, and enhance delivery performance. The findings can assist logistics managers in developing standardized distribution routes and serve as a reference for implementing data-driven distribution planning in small and medium-sized manufacturing enterprises. Originality This study contributes by integrating Dynamic Programming with WinQSB validation and GPS-based field verification to optimize distribution routes for footwear MSMEs. Unlike previous studies that primarily relied on theoretical optimization or simulation, this research demonstrates the practical applicability of the proposed approach in a real distribution network while benchmarking its performance against the Traveling Salesman Problem (TSP) and Dijkstra’s Algorithm.
Optimizing to Predict Purchase Intention in Fashion Thrifting Using Artificial Neural Networks Approach Fadil Abdullah; Manase Sahat H Simarangkir; Adie Kusna Wibowo; Abdullah Rizky Alfatih; Nadiya Maharani
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Background Thrifting has emerged as a prominent trend within the fashion industry, driven by increasing consumer awareness of sustainability and the demand for affordable fashion alternatives Purpose This study develops an Artificial Neural Network (ANN) model to optimize purchase intention for thrifting fashion products based on trends, online promotions, and brand image Methodology The model uses three node variations (10, 20, 30), two hidden layers, a sigmoid activation function, 10,000 iterations, and a feed-forward propagation algorithm. The 30-node configuration performed best, achieving a determination coefficient of 0.97 during training and 0.98 during testing, indicating high predictive accuracy. Findings The findings confirm that trends, online promotions, and brand image significantly influence purchase intention, demonstrating the model’s potential to optimize marketing strategies. By leveraging ANN, businesses can enhance marketing efficiency, adapt to market dynamics, and improve decision-making Implications This research highlights the effectiveness of AI-driven methodologies in analyzing consumer behavior and supporting targeted marketing efforts. The model’s success also suggests broader AI integration possibilities in strategic planning for the fashion industry Originality this study contributes to the literature by providing deeper insights into purchase intention formation and offers practical implications for improving marketing efficiency and strategic decision-making in sustainable fashion businesses
Co-Authors Abdullah Rizky Alfatih Adie Kusna Wibowo Fadil Abdullah Indra Mahyudi S Iphov Kumala Sriwana Muhammad Alif Ihsan Simarangkir, Manase Sahat H Wan Habibi Rahman Barus