Set covering model using greedy heuristic algorithm to determine the temporary waste disposal sites in Palembang

Optimizing the facility location has a vital role in providing services to the community. This study aims to determine the Temporary Waste Disposal Site (TWDS) in Sako District, Palembang City. The distance data between each TWDS in Sako District is used to formulate the Set Covering model, consisti...

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Main Authors: Bangun, Putra Bahtera Jaya, Octarina, Sisca, Aniza, Rizka, Hanum, Laila, Puspita, Fitri Maya, Supadi, Siti Suzlin
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Published: Magister Program of Material Sciences, Graduate School of Sriwijaya University 2022
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Online Access:http://eprints.um.edu.my/43298/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126646591&doi=10.26554%2fsti.2022.7.1.98-105&partnerID=40&md5=e7af558debce55598be990138238d972
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spelling my.um.eprints.432982023-11-19T06:52:17Z http://eprints.um.edu.my/43298/ Set covering model using greedy heuristic algorithm to determine the temporary waste disposal sites in Palembang Bangun, Putra Bahtera Jaya Octarina, Sisca Aniza, Rizka Hanum, Laila Puspita, Fitri Maya Supadi, Siti Suzlin TD Environmental technology. Sanitary engineering Optimizing the facility location has a vital role in providing services to the community. This study aims to determine the Temporary Waste Disposal Site (TWDS) in Sako District, Palembang City. The distance data between each TWDS in Sako District is used to formulate the Set Covering model, consisting of the Set Covering Location Problem (SCLP) model and the p-Median Problem model. The classical approach is made by solving both models using Lingo 18.0 software. The Greedy Heuristic algorithm is used as the heuristic approach. Based on the results and discussion, Sako District consists of 4 Villages and 9 TWDS. The SCLP and p-Median Problem models with LINGO 18.0 software and the Greedy Heuristic algorithm show a difference. The study results suggest using the optimal solution resulting from the Greedy Heuristic algorithm because it can meet all requests in Sako District. Research shows that there are six optimal TWDS in Sako District. We recommend adding 14 additional TWDS facilities in Sako District to serve all requests. © 2022, Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya. All rights reserved. Magister Program of Material Sciences, Graduate School of Sriwijaya University 2022 Article PeerReviewed Bangun, Putra Bahtera Jaya and Octarina, Sisca and Aniza, Rizka and Hanum, Laila and Puspita, Fitri Maya and Supadi, Siti Suzlin (2022) Set covering model using greedy heuristic algorithm to determine the temporary waste disposal sites in Palembang. Science and Technology Indonesia, 7 (1). 98 – 105. ISSN 2580-4405, DOI https://doi.org/10.26554/sti.2022.7.1.98-105 <https://doi.org/10.26554/sti.2022.7.1.98-105>. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126646591&doi=10.26554%2fsti.2022.7.1.98-105&partnerID=40&md5=e7af558debce55598be990138238d972 10.26554/sti.2022.7.1.98-105
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TD Environmental technology. Sanitary engineering
spellingShingle TD Environmental technology. Sanitary engineering
Bangun, Putra Bahtera Jaya
Octarina, Sisca
Aniza, Rizka
Hanum, Laila
Puspita, Fitri Maya
Supadi, Siti Suzlin
Set covering model using greedy heuristic algorithm to determine the temporary waste disposal sites in Palembang
description Optimizing the facility location has a vital role in providing services to the community. This study aims to determine the Temporary Waste Disposal Site (TWDS) in Sako District, Palembang City. The distance data between each TWDS in Sako District is used to formulate the Set Covering model, consisting of the Set Covering Location Problem (SCLP) model and the p-Median Problem model. The classical approach is made by solving both models using Lingo 18.0 software. The Greedy Heuristic algorithm is used as the heuristic approach. Based on the results and discussion, Sako District consists of 4 Villages and 9 TWDS. The SCLP and p-Median Problem models with LINGO 18.0 software and the Greedy Heuristic algorithm show a difference. The study results suggest using the optimal solution resulting from the Greedy Heuristic algorithm because it can meet all requests in Sako District. Research shows that there are six optimal TWDS in Sako District. We recommend adding 14 additional TWDS facilities in Sako District to serve all requests. © 2022, Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya. All rights reserved.
format Article
author Bangun, Putra Bahtera Jaya
Octarina, Sisca
Aniza, Rizka
Hanum, Laila
Puspita, Fitri Maya
Supadi, Siti Suzlin
author_facet Bangun, Putra Bahtera Jaya
Octarina, Sisca
Aniza, Rizka
Hanum, Laila
Puspita, Fitri Maya
Supadi, Siti Suzlin
author_sort Bangun, Putra Bahtera Jaya
title Set covering model using greedy heuristic algorithm to determine the temporary waste disposal sites in Palembang
title_short Set covering model using greedy heuristic algorithm to determine the temporary waste disposal sites in Palembang
title_full Set covering model using greedy heuristic algorithm to determine the temporary waste disposal sites in Palembang
title_fullStr Set covering model using greedy heuristic algorithm to determine the temporary waste disposal sites in Palembang
title_full_unstemmed Set covering model using greedy heuristic algorithm to determine the temporary waste disposal sites in Palembang
title_sort set covering model using greedy heuristic algorithm to determine the temporary waste disposal sites in palembang
publisher Magister Program of Material Sciences, Graduate School of Sriwijaya University
publishDate 2022
url http://eprints.um.edu.my/43298/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126646591&doi=10.26554%2fsti.2022.7.1.98-105&partnerID=40&md5=e7af558debce55598be990138238d972
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score 13.160551