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All Journal Scientific Journal of Informatics Konvergensi : Jurnal Ilmiah Ilmu Komunikasi LUGAS Jurnal Komunikasi Jurnal Mantik Journal of Intelligent Decision Support System (IDSS) Jurnal Mandiri IT
Anandianskha, Sawaviyya
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Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences

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Journal : Jurnal Mantik

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Application of ant colony algorithm to optimize waste transport distribution routes in Tegal Gunawan, Gunawan; Handayani, Sri; Anandianskha, Sawaviyya
Jurnal Mantik Vol. 8 No. 1 (2024): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v8i1.5223

Abstract

Effective and efficient waste management is an essential challenge in developing cities like Tegal City. Optimizing waste transport routes can reduce operational costs and environmental impact. This study aims to implement the Ant Colony Algorithm (ACO) to optimize waste distribution routes in Tegal City. This method was chosen for its proven ability to solve route optimization problems. This study developed a model for the simulation and analysis of waste transportation routes using actual location data from the Integrated Waste Treatment Site (TPST) to the landfill (TPA). The results showed that the implementation of ACO reduced the total mileage from 27.50 km to 21.05 km, a significant reduction that shows the algorithm's efficiency in determining the optimal route. The conclusion of this study confirms that ACO can be effectively used to improve waste transportation operations
Co-Authors Aang Alim Murtopo Andriani, Wresti Bangkit Indarmawan Nugroho Farkhan, Muhammad Gunawan Gunawan Gunawan Halomoan Harahap Handayani, Sri Januarto, Sigit Muhammad Sulthon Naja, Naella Nabila Putri Wahyuning Sarif Surorejo