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All Journal Jurnal Rekayasa Sistem Industri Jurnal Optimasi Sistem Industri Jurnal Ilmiah Teknik Industri INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Sistem Teknik Industri MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Jurnal Optimasi Teknik Industri (JOTI) Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks
Eri Wirdianto
Universitas Andalas
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation Other

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Journal : Jurnal Rekayasa Sistem Industri

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Usulan Rute Pendistribusian Gas LPG Menggunakan Algoritma Dijkstra dan Algoritma Genetika Pada  Model CGVRP Oktaviani, Putri; Dalnis, Intan Permata; Wirdianto, Eri
Jurnal Rekayasa Sistem Industri Vol. 14 No. 1 (2025): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v14i1.8491.131-145

Abstract

Determining the route of distribution of goods for companies is an important aspect to consider. The distribution of 3 kg LPG gas at one of the companies in Bandung City does not yet have an optimal route. However, in previous research, a shorter route has been obtained with the Sweep algorithm, which is 118.85 km. The research continued using the Cluster Generalized Vehicle Routing Problem (CGVRP) model with the Dijkstra and Genetics algorithms. CGVRP is the determination of the shortest route using customer clusters. Dijkstra's algorithm is the determination of the route between 2 points from the starting point to the destination point. The result of the distance calculation with the Djkstraa algoritma is 114.779 km. Genetic Algorithm is the determination of the shortest route by reducing the attributes that are less dominant. The result of the distance calculating with Genetic Algorithm is 112 km. This shows a reduction in the total distribution mileage of 6.85 km compared to the completion of the Sweep algorithm in previous studies. The amount of this reduction is large enough to save the company's costs by 5.76%.
Co-Authors Adi, Alexie Herryandie Bronto Afri Adnan Afrinaldi, Feri Ahmad Syafruddin Alexie Herryandie Alfadhlani Alizar Hasan Arri Fatimah Zahra Asmuliardi Muluk Dalnis, Intan Permata Desto Jumeno Desto Jumeno Dhina Regenie Dicky Fatrias Difana Meilani Dina Rahmayanti Elita Amrina Febrian, Muhammad Naufal Felia Devina Amadea Hafizh Ahmad Henmaidi Henmaidi Hilma Raimona Zadry Ikhwan Arief Irfan Nugraha Putra Mukhti Jonrinaldi Kamil, Insannul Keynobi, Fikri Lusi Susanti Meiyola Syaflinda Milana Milana Nilda Tri Putri Prima Fithri Putri Oktaviani reinny patrisina Rika Ampuh Hadiguna Sakilah, Tiva Tara Cantika Taufik Taufik Wisnel Wisnel Zidanne, Muhammad