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All Journal JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Inkofar
Wan Habibi Rahman Barus
Politeknik META Industri Cikarang
Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health

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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.
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.
Co-Authors Fadil Abdullah Iphov Kumala Sriwana Muhammad Alif Ihsan Nadiya Maharani