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All Journal JMM (Jurnal Masyarakat Mandiri) INTECOMS: Journal of Information Technology and Computer Science TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Sintaksis : Pendidikan Guru Sekolah Dasar, IPA, IPS dan Bahasa Inggris INFOKUM Journal of Innovation Information Technology and Application (JINITA) Brahmana : Jurnal Penerapan Kecerdasan Buatan RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Journal of Social Responsibility Projects by Higher Education Forum Jurnal Abdimas Hawari The International Conference on Education, Social Sciences and Technology (ICESST) International Conference on Sciences Development and Technology The Journal of Information Technology, Computer Science, and Electrical Engineering
Akhyar Lubis
Universitas Pembangunan Panca Budi
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Shortest Path Calculation for Bandung Tourist Destinations Using Ant Colony Optimization Juanda Hakim Lubis; Sri Handayani; Akhyar Lubis; Fajrul Malik Aminullah Napitupulu
Journal of Innovation Information Technology and Application (JINITA) Vol 8 No 1 (2026): JINITA, June 2026
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v8i1.2839

Abstract

Efficient route planning is essential in modern tourism, particularly for multi-destination travel in complex urban environments. This study proposes a tourism route optimization model based on Ant Colony Optimization (ACO) integrated with real-world geographic distance data. The problem is modeled as a weighted graph, where tourist destinations are represented as nodes and edge weights are derived from distances obtained via the Google Maps Directions API. The objective is to determine an optimal route that minimizes total travel distance across multiple destinations. The ACO algorithm employs a probabilistic search mechanism based on pheromone trails and heuristic visibility to iteratively construct candidate routes. Experimental results show that the model consistently converges to the optimal route sequence 1 → 4 → 2 → 5 with a total distance of 8323 meters under appropriate parameter settings. The findings also indicate that heuristic influence plays a critical role in ensuring convergence and solution quality. Compared to a deterministic baseline based on Dijkstra’s algorithm, ACO demonstrates greater flexibility in exploring multiple route combinations, making it more suitable for multi-destination routing. The integration of real-world data enhances the practical applicability of the model, although it introduces a higher computational cost.
Co-Authors Arpan DWI SURYANTO Eko Hariyanto Eko Haryanto Eko Haryanto Erna Budhiarti Nababan Fachrid Wadly Fajar Chrisman Ziliwu Fajrul Malik Aminullah Napitupulu Fajrul Malik Aminullah Napitupulu Fatma Sari Hutagalung Hardinata, Rio Septian Ilham Zulfikri Iskandar Iskandar Iskandar, Iskandar Isnar Sumartono Isnar Sumartono Juanda Hakim Lubis Juanda Hakim Lubis Lubis, Syahrian Mesra B Mesran Mesran Muhammad Ishan Harahap Muhammad Muttaqin Muhammad Rifqi Sakti Muhammad Seger Nova Mayasari Rahmad Milsa Pratama Riah Ukur Ginting Ricky Fernando Ginting Rio Pratama Rio Septian Rio Septian Hardinata Rio Septian Hardinata Rion Dui Haryadi Samosir Rizky Ananda Pratama Sri Handayani Sri Wahyuni Sumartono, Isnar Supina Batubara Syaiful Bahri Taufik Nurul Ramadhan Zul Haji Nasution