Penerapan Metode Capacitated Maximum Covering Location Problem (CMCLP) dalam Penentuan Lokasi Tempat Penampungan Sementara (TPS)

Mantup Sub-district, Lamongan Regency has 7 Temporary Waste Storagea Facilities (TPS) that are not intergrated with the Final Disposal Site (TPA) and have not served 72 hamlets or waste source. This causes piles of waste in the TPS area and several public places. Determinig the loction of the TPS aims to opimize the TPS service so that it can serve all waste sources with the mathematical model of the Capacitated Maxium Covering Location Problem (CMCLP) and is solved using Google Colab in the Python programming language. The data collected in this study include the points of waste sources and TPS along with the distance between the two points, the capacity of waste transport vehicles, and the amount of waste produced based on SNI-19-3964-1994 sampling. The model results show that there are 8 optimal TPS locations consisting of 3 TPS that have been built and 5 alternative TPS that can serve 72 waste sources with maximum service covereage of 4 kilometers.

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Publication Details

Journal
Jurnal Teknik Industri Terintegrasi
Published
2025-07-04
DOI
https://doi.org/10.31004/jutin.v8i3.46742
Primary Topic
Management and Optimization Techniques
Type
article
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article

Penerapan Metode Capacitated Maximum Covering Location Problem (CMCLP) dalam Penentuan Lokasi Tempat Penampungan Sementara (TPS)

Hilyatun Nuha, Fajar Muchti Firmansyah, Hery Murnawan
Jurnal Teknik Industri Terintegrasi
Management and Optimization Techniques
article

Penerapan Metode Capacitated Maximum Covering Location Problem (CMCLP) dalam Penentuan Lokasi Tempat Penampungan Sementara (TPS)

Hilyatun Nuha, Fajar Muchti Firmansyah, Hery Murnawan
article en

Abstract

Mantup Sub-district, Lamongan Regency has 7 Temporary Waste Storagea Facilities (TPS) that are not intergrated with the Final Disposal Site (TPA) and have not served 72 hamlets or waste source. This causes piles of waste in the TPS area and several public places. Determinig the loction of the TPS aims to opimize the TPS service so that it can serve all waste sources with the mathematical model of the Capacitated Maxium Covering Location Problem (CMCLP) and is solved using Google Colab in the Python programming language. The data collected in this study include the points of waste sources and TPS along with the distance between the two points, the capacity of waste transport vehicles, and the amount of waste produced based on SNI-19-3964-1994 sampling. The model results show that there are 8 optimal TPS locations consisting of 3 TPS that have been built and 5 alternative TPS that can serve 72 waste sources with maximum service covereage of 4 kilometers.

Jurnal Teknik Industri TerintegrasiVol. 8(3)
Universitas 17 Agustus 1945 Surabaya (ID)
Openalex Percentile: Top 74%
Management and Optimization Techniques
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Penerapan Metode Capacitated Maximum Covering Location Problem (CMCLP) dalam Penentuan Lokasi Tempat Penampungan Sementara (TPS) — Hilyatun Nuha, Fajar Muchti Firmansyah, et al. · Jurnal Teknik Industri Terintegrasi (2025) | TGRS Research Map | TGRS