SISTEM PENCARIAN RUTE TERBAIK EKSPEDISI BARANG MENGGUNAKAN METODE ANT COLONY PADA PT. PELINDO TPKNM

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Muhammad Rahmat Faizal
Kasirun Sitorus
Mika Tandililing
Suardi Hi Baharuddin

Abstract

This research is focused on building and implementing a system for finding the best route in cargo expeditions for PT. Pelindo. PT. Pelindo faces a significant challenge in providing the best service to its customers to enhance their satisfaction. In response to this challenge, the developed system employs the Ant Colony Optimization (ACO) approach, inspired by the foraging behavior of ants when searching for the shortest path from their nest to a food source. Through ACO, the system aims to provide optimal and efficient route solutions.


The research results encompass the development and implementation of ACO calculations within a system capable of generating the best alternative routes. The routes generated involve eight main points, namely A-B-C-D-E-F-G-H-A. It is expected that this system will be a highly valuable tool for users in finding the most efficient and cost-effective travel routes for cargo expeditions. Furthermore, the outcomes of this research are anticipated to contribute positively to improving the quality of service provided by PT. Pelindo to their customers, thus enhancing customer satisfaction and overall logistics operational efficiency.

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How to Cite
Faizal, M. R., Sitorus, K., Tandililing, M., & Baharuddin, S. H. (2024). SISTEM PENCARIAN RUTE TERBAIK EKSPEDISI BARANG MENGGUNAKAN METODE ANT COLONY PADA PT. PELINDO TPKNM. Jurnal Informatika Progres, 16(1), 1-8. https://doi.org/10.56708/progres.v16i1.388

References

[1] Novendri, “Pengertian Web,” Lentera Dumai, vol. 10, no. 2, pp. 46–57, 2019.
[2] M. Tabrani and I. Rezqy Aghniya, “Implementasi Metode Waterfall Pada Program Simpan Pinjam Koperasi Subur Jaya Mandiri Subang,” J. Interkom J. Publ. Ilm. Bid. Teknol. Inf. dan Komun., vol. 14, no. 1, pp. 44–53, 2020, doi: 10.35969/interkom.v14i1.65.
[3] T. Kami, “Identification of Components in the Essential Oil of Hybridsorgo, a Forage Sorghum,” J. Agric. Food Chem., vol. 23, no. 4, pp. 795–798, 1975, doi: 10.1021/jf60200a019.
[4] K. situmorang, desy, “Analisis rute pendistribusian dengan menggunakan metode ant colony optimization dalam persoalan vehicle routing problem pada kantor pos boyolali,” Logistik Bisnis, vol. 9, no. 1, pp. 51–59, 2018.
[5] J. R. Batmetan, “Algoritma Ant Colony Optimization (ACO) untuk pemilihan jalur tercepat evakuasi bencana Gunung Lokon Sulawesi Utara,” J. Teknol. Inf., vol. 14, no. 1, pp. 31–48, 2016.
[6] S. Fidanova, “Ant Colony Optimization,” Stud. Comput. Intell., vol. 947, pp. 3–8, 2021, doi: 10.1007/978-3-030-67380-2_2.
[7] F. Liantoni, “Deteksi Tepi Citra Daun Mangga Menggunakan Algoritma Ant Colony Optimization,” Semin. Nas. Sains dan Teknol. Terap. III, vol. 3, pp. 411–418, 2015.
[8] I. W. A. Setyadi, D. C. Khrisne, and I. M. A. Suyadnya, “Automatic Text Summarization Menggunakan Metode Graph dan Metode Ant Colony Optimization,” vol. 17, no. 1, pp. 124–130, 2018.
[9] C. Irwansyah, A. Pinandito, and W. F. Mahmudy, “Pencarian Rute Angkutan Umum Menggunakan Algoritma Ant Colony Optimization,” Doro, no. 10, pp. 1–9, 2014.
[10] B. Fitriani, T. Angraini, and Y. H. G. Putra, “Pemodelan Use Case Diagram Sistem Informasi Inventaris Laboratorium Teknik Mesin,” Semin. Nas. Sist. Inf. dan Teknol. Inf. 2018, pp. 626–631, 2018.