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All Journal Infotech Journal IJFAC (Indonesian Journal of Fundamental and Applied Chemistry) Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Resona : Jurnal Ilmiah Pengabdian Masyarakat Jurnal Serambi Engineering Jurnal Informatika Kaputama (JIK) Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Tika Journal of Renewable Energy, Electrical, and Computer Engineering Sisfo: Jurnal Ilmiah Sistem Informasi Journal of Advanced Computer Knowledge and Algorithms Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Ar Razi
Universitas Malikussaleh
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

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Analysis of Boarding House Feasibility and Satisfaction Using Data Mining with the C4.5 Algorithm Based on Service Quality and Facilities Aktina Manik; Dahlan Abdullah; Ar Razi Ar Razi
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.896

Abstract

This research develops a boarding house eligibility classification system using the C4.5 algorithm based on service quality and available facilities. The system evaluates boarding house eligibility by considering various factors such as management services, cleanliness, security, room facilities, public facilities, internet access, comfort, and price. Each of these factors is given a specific weight based on its importance to the tenants, and they are used to classify boarding houses as luxury, standard, and economical. The classification results show that 43% of luxury boarding houses were deemed eligible, while 57% were not. In the standard boarding house category, 21% were classified as eligible, and 79% as ineligible, while in the economical category, 23% were eligible and 77% were ineligible. Using the Confusion Matrix and Classification Report, model evaluation revealed precision ranging from 0.4 to 1.0, recall from 0.67 to 1.0, and F1-scores from 0.5 to 0.91, demonstrating a reasonably high overall accuracy. Additionally, feature importance analysis revealed that price, water and electricity availability, and room facilities are the most influential factors in determining boarding house eligibility. The system's performance was tested against a dataset of real-world boarding houses, and the results suggest that it can accurately classify boarding houses based on key factors that affect tenant satisfaction. The system has the potential to serve as a valuable decision-making tool for boarding house owners, helping them improve service quality and for prospective tenants, enabling them to make more informed housing choices based on their preferences and needs.
Co-Authors Afta Adiyatma Wicaksana Afta Adiyatma Wicaksana afwandi afwandi Ahmad Fikri Aina Rahmadani Aktina Manik Alvin Alvesaldy Angga Pratama Apryza Mila Arif Fadhilah Asrianda Asrianda Asrillah Asrillah Dahlan Abdullah Dedi Fariadi Eni Yustanti Fadlisyah Fikri Akbar Hafizh Al Kautsar Aidilof Hamdhana, Defry Mainisa Mainisa Muhammad Fauzan Muhammad Muhammad Munirul Ula Mutammimul Ula Muthmainnah Muthmainnah Nada Syadzwina Nadia Thahira Raihan Arkan Rini Meiyanti Rizka Salsabila Nasution Safwandi Safwandi Syifa Anjanira Tiara Oktavia Wahyu Fuadi Yulisda, Desvina Zulfadli Zulfadli