https://jurnal.stmikmethodistbinjai.ac.id/jai <p>Armada Informatika Journal is a peer-reviewed journal dedicated to the exchange of high quality research results in all aspects of Informatics (Database Technology; Computer Network Technology, Information System Development and Expert System application development), Information Technology and Digital Business. Accepted research articles will be available online in this journal. Research articles submitted to this online journal will be reviewed by at least 2 (two) Reviewers. Publication frequency: 6 monthly or published 2 times a year. Published since 2017 has an ISSN registration number <a href="https://issn.brin.go.id/terbit/detail/1504168300">2615-689X</a> (Online) / <a href="https://issn.brin.go.id/terbit/detail/1504154891">2598-0416</a> (Print). <a href="http://lppm.stmikmethodistbinjai.ac.id/">STMIK Methodist Binjai Community Research Institute</a>, under <a href="https://stmikmethodistbinjai.ac.id">STMIK Mehodist Binjai</a>.</p> en-US tomy@stmikmethodistbinjai.ac.id (Tomy Satria Alasi) antoniuslimanto@gmail.com ( Marwa Halim) Mon, 01 Dec 2025 00:00:00 +0000 OJS 3.3.0.12 http://blogs.law.harvard.edu/tech/rss 60 https://jurnal.stmikmethodistbinjai.ac.id/jai/article/view/193 <p>The rapid growth of modern barbershops in Medan City has increased user difficulties in determining the nearest location while selecting the best barbershop based on multiple service criteria. The main problems involve finding optimal routes and selecting the best alternatives based on price, service quality, style, health protocols, and distance. This study develops an Android-based barbershop recommendation system by integrating the Dijkstra algorithm for shortest path search and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for alternative ranking. Dijkstra calculates the shortest distance from the user's location, while TOPSIS determines the best recommendation using weighted criteria. The results show that the system effectively provides the fastest routes and optimal recommendations according to user preferences, improving search efficiency and decision-making accuracy.</p> Adil Priman Hati Hulu, Anzas Ibezato Zalukhu Copyright (c) 2025 Adil Priman Hati Hulu, Anzas Ibezato Zalukhu https://creativecommons.org/licenses/by/4.0 https://jurnal.stmikmethodistbinjai.ac.id/jai/article/view/193 Mon, 01 Dec 2025 00:00:00 +0000