Cluster Analysis Using Partitioning Around Medoids with Gower Distance for Boarding House Recommendations (Case Study: Boarding Houses Around UPNVJT)

Authors

  • Sahat Renaldi. S Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia
  • Dwi Arman Prasetya Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia
  • Amri Muhaimin Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia

DOI:

https://doi.org/10.33379/gtech.v8i3.4898

Keywords:

Gower Distance, Boarding House, K-Prototype, Partitioning Around Medoids (PAM), Recommendation System

Abstract

In choosing a boarding house, many criteria are considered by prospective tenants. This situation requires an analytical approach that can assist individuals in finding a boarding house while taking into account their preferences. This study aims to develop a recommendation system using K-Prototype and Partitioning Around Medoids (PAM) with Gower Distance. The PAM method with Gower Distance performed better, achieving a Silhouette index of 0.45, and successfully clustered boarding houses into two categories: standard and exclusive. The recommendation system is based on Gower distance similarity. User Acceptance Test (UAT) results showed a score of 70%, indicating that the system is generally well-received and acceptable to users.

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Published

2024-07-12

Issue

Vol. 8 No. 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024

Section

Articles

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Copyright (c) 2024 Sahat Renaldi. S, Dwi Arman Prasetya, Amri Muhaimin

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Cluster Analysis Using Partitioning Around Medoids with Gower Distance for Boarding House Recommendations (Case Study: Boarding Houses Around UPNVJT). (2024). G-Tech: Jurnal Teknologi Terapan, 8(3), 2060-2069. https://doi.org/10.33379/gtech.v8i3.4898

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