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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi
Andi Anugrah Ma'Arif
Universitas Halu Oleo, Indonesia
Electrical & Electronics Engineering

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Decision Support System f`or Boarding House Recommendations for Students in Kendari City Using the Weighted Product Method Andi Anugrah Ma'Arif
Telematika Vol 23 No 1 (2026): Edisi Februari 2025
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v23i1.14619

Abstract

Purpose: This research aims to develop a Decision Support System that is able to provide boarding house recommendations for students in Kendari City. This system is designed to make it easier for students to choose a boarding house that suits their criteria and preferences. Design/methodology/approach: This study uses the Weighted Product (WP) method. Boarding house data was obtained through field surveys and information collection from boarding house providers in Kendari City. The criteria considered include the type of boarding house, monthly rental price, distance to campus, facilities, availability of toilets, availability of kitchens, and security. Each criterion is weighted according to its level of importance. Findings/result: The research results show that the DSS developed is able to provide boarding recommendations that suit student preferences. This system makes it easier for students to find boarding houses that best suit their needs. Originality/value/state of the art: Previously, boarding house recommendation systems were rarely implemented with a WP-based approach that considered various criteria simultaneously. This research is expected to contribute to the development of a recommendation system that can be implemented in various other cities by adjusting relevant variables and criteria weights.
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