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Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Engineering and Technology Quarterly Reviews

ISSN 2622-9374

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open access

Published: 26 May 2023

Recommendation System for Boarding House Selection using Simple Additive Weighting Method

Yogi Maulana Krisna, Adhi Kusnadi, Fenina Adline Twince Tobing

Universitas Multimedia Nusantara

journal of social and political sciences
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Pages: 50-55

Keywords: Recommendation System, Boarding Houses, Simple Additive Weighting


The selection of boarding houses for work or study often leaves potential residents uncertain about choosing the right boarding house to meet their daily personal needs. Due to the varying prices and facilities offered by each boarding house, potential residents need to consider the prices and various facilities provided by each boarding house. Therefore, a recommendation system is needed to assist potential residents in deciding on the right boarding house according to their daily needs. This system is created using the Simple Additive Weighting method, which can help potential residents in decision-making through ranking obtained by multiplying the matrix of each criteria weight with the available alternative values. The development of this recommendation system uses MYSQL database, HTML, PHP, and JavaScript programming. The testing of the recommendation system using a Likert scale resulted in an average total interpretation score of 76.3%, indicating that users have a positive response to this recommendation system.


  1. Abdel-Basset, M., Atef, A., & Smarandache, F. (2019). A hybrid Neutrosophic multiple criteria group decision making approach for project selection. Cognitive Systems Research, 57, 216–227.

  2. Adams, D. W. (2020). Education for Extinction: American Indians and the Boarding School Experience, 1875–1928. Revised and Expanded. University Press of Kansas.

  3. Afma, F. F., Rahadi, R. A., & Mayangsari, L. (2019). Determining Factors For Boarding House Rent Price in Bandung For Undergraduate Students of ITB: A Conceptual Model. Journal of Global Business and Social Entrepreneurship (GBSE), 5(15), 1–11.

  4. Akinsola, J. E. T., Awodele, O., Kuyoro, S. O., & Kasali, F. A. (2019). Performance evaluation of supervised machine learning algorithms using multi-criteria decision making techniques. Proceedings of the International Conference on Information Technology in Education and Development (ITED), 17–34.

  5. Devi, S., & Sihotang, H. T. (2019). Decision Support Systems Assessment of the best village in Perbaungan sub-district with the Simple Additive Weighting (SAW) Method: Decision Support Systems Assessment of the best village in Perbaungan sub-district with the Simple Additive Weighting (SAW). Jurnal Mantik, 3(3), 112–118.

  6. Guy, N. N. (2017). A Recommender system for rental properties. Strathmore University.

  7. Khaing, M. O., & Ye, Y. (2018). A comparative study on the expected and actual service quality perceived by the students at boarding houses of St. Francis Xavier Sisters in Pathein Diocese, Myanmar. Scholar: Human Sciences, 10(1), 275.

  8. Kusnadi, A., & Kurniawan, E. (2017). Implementation of topsis method in web based system recommendations for students laptop selection (case study: Bhinneka. com). IJNMT (International Journal of New Media Technology), 4(1), 42–45.

  9. Kusnadi, A., Widiarso, C. K., & Hugeng, H. (2016). Rancang Bangun Sistem Rekomendasi Pemilihan Smartphone Berbasis Web. Ultima InfoSys: Jurnal Ilmu Sistem Informasi, 7(1), 31–37.

  10. Maalsen, S., & Gurran, N. (2022). Finding home online? The Digitalization of share housing and the making of home through absence. Housing, Theory and Society, 39(4), 401–419.

  11. Rizkiyanto, A. (2022). Determination of Giving Money Loans to Cooperative Members Using the SAW and TOPSIS Methods in Savings and Loans Cooperatives. International Journal of Advanced Studies in Computers, Science and Engineering, 11(11), 23–30.

  12. Satapathy, S. M., Jhaveri, R., Khanna, U., & Dwivedi, A. K. (2020). Smart rent portal using recommendation system visualized by augmented reality. Procedia Computer Science, 171, 197–206.

  13. Shen, L., Liu, Q., Chen, G., & Ji, S. (2020). Text-based price recommendation system for online rental houses. Big Data Mining and Analytics, 3(2), 143–152.

  14. Tuş, A., & Aytaç Adalı, E. (2019). The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem. Opsearch, 56, 528–538.

  15. Zuiev, P., Zhyvotovskyi, R., Zvieriev, O., Hatsenko, S., Adamenko, M., Kuprii, V., Nakonechnyi, O., Shyshatskyi, A., Neroznak, Y., & Velychko, V. (2020). Development of complex methodology of processing heterogeneous data in intelligent decision support systems. Восточно-Европейский Журнал Передовых Технологий, 4(9–106), 14–23.

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