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Usulan Pengelolaan Sampah di Kelurahan Margasari Kota Bandung Menggunakan Pemodelan Dinamika Sistem Miftahuljanah, Winna; Didit Damur Rochman
Jurnal Pengendalian Pencemaran Lingkungan (JPPL) Vol. 6 No. 2 (2024): JPPL, September 2024
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat (P3M), Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jppl.v6i2.2282

Abstract

Kelurahan Margasari in Bandung West Java, located at Jalan Cipagalo Girang No. 9. Covering an area of 272.18 hectares, Margasari is the largest kelurahan in the kecamatan Buah Batu, accounting for 37% of its total area. Margasari is among the kelurahan that generate substantial waste, originating from household and business activities. The research aims to identify waste flow in kelurahan Margasari and propose waste management strategies to reduce waste generation based on system dynamics simulation results. A quantitative approach employing system dynamics methodology is utilized. Simulations encompass three scenarios: Scenario 1 represents the baseline, Scenario 2 involves waste sorting with 100% organic waste recycling and proportional distribution of inorganic waste, while Scenario 3 incorporates waste sorting with 100% organic waste remaining untreated and 100% inorganic waste processed. Over a 1,000-day simulation period, Scenario 3 exhibits the lowest waste amount deposited in the landfill, totaling 4,813.28 kg/day. This reduction is attributed to the full segregation of inorganic waste. Thus, maximizing waste sorting in kelurahan Margasari proves to be the most effective approach in minimizing landfill waste. Model validation confirms the applicability of system dynamics in analyzing interrelated factors crucial for sustainable waste management planning
Usulan Pengelolaan Sampah di Kelurahan Margasari Kota Bandung Menggunakan Pemodelan Dinamika Sistem Miftahuljanah, Winna; Didit Damur Rochman
Jurnal Pengendalian Pencemaran Lingkungan (JPPL) Vol. 6 No. 2 (2024): JPPL, September 2024
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat (P3M), Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jppl.v6i2.2282

Abstract

Kelurahan Margasari in Bandung West Java, located at Jalan Cipagalo Girang No. 9. Covering an area of 272.18 hectares, Margasari is the largest kelurahan in the kecamatan Buah Batu, accounting for 37% of its total area. Margasari is among the kelurahan that generate substantial waste, originating from household and business activities. The research aims to identify waste flow in kelurahan Margasari and propose waste management strategies to reduce waste generation based on system dynamics simulation results. A quantitative approach employing system dynamics methodology is utilized. Simulations encompass three scenarios: Scenario 1 represents the baseline, Scenario 2 involves waste sorting with 100% organic waste recycling and proportional distribution of inorganic waste, while Scenario 3 incorporates waste sorting with 100% organic waste remaining untreated and 100% inorganic waste processed. Over a 1,000-day simulation period, Scenario 3 exhibits the lowest waste amount deposited in the landfill, totaling 4,813.28 kg/day. This reduction is attributed to the full segregation of inorganic waste. Thus, maximizing waste sorting in kelurahan Margasari proves to be the most effective approach in minimizing landfill waste. Model validation confirms the applicability of system dynamics in analyzing interrelated factors crucial for sustainable waste management planning
How Can Product Delivery Efficiency Be Improved? A Comparative Study Between the Shortest Path Method and Vehicle Routing Problem with Pool Clustering Implementation in Kukami Delivery Subang Muhammad Ridlan Akbar; Didit Damur Rochman
ACCRUALS (Accounting Research Journal of Sutaatmadja) Vol. 9 No. 01 (2025): Accruals Edisi Maret 2025
Publisher : Sekolah Tinggi Ilmu Ekonomi Sutaatmadja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35310/accruals.v9i01.1358

Abstract

Due to the volume of orders and network complexity, KUKAMI Delivery faces high operational costs and suboptimal routing using the Shortest Path Method. This method often results in inefficient routes in terms of distance because the starting points could be more optimal. Therefore, a more practical approach is needed to improve route efficiency. This study compares two route optimization methods: the Shortest Path Method and the Vehicle Routing Problem (VRP) with the Saving Matrix approach and Pool Clustering. The latter technique groups partners or suppliers within specific areas, facilitating more efficient rider assignments. The results of this study are significant for KUKAMI Delivery. They show that the Shortest Path Method can improve distance and operational costs by 8.8% for both inter-cluster and cross-cluster routes. However, applying the VRP with the Saving Matrix Method and Pool Clustering can further enhance distance and operational efficiency by 3.36% compared to the Shortest Path Method. These findings provide valuable insights for enhancing KUKAMI Delivery’s operations to better meet the growing demand in the local delivery industry.