ANALYZING ATTRIBUTES THAT AFFECT CONSUMER PREFERENCE ON BOARDING HOUSE SELECTION AMONG WORKERS IN WIYUNG, SURABAYA: A CONJOINT ANALYSIS APPROACH
DOI:
10.5281/zenodo.20724334Published:
2026-06-16Downloads
Abstract
Rapid urbanization and population growth in Wiyung Surabaya, have increased the demand for boarding houses as an affordable housing option for workers, resulting in greater competition among boarding house providers. This study aims to identify workers’ preferences for boarding house attributes using conjoint analysis based on Random Utility Theory (RUT). Data were collected through an online questionnaire distributed to workers who were currently residing in or searching for boarding house accommodation in Wiyung, Surabaya. A total of 100 valid responses were analyzed. The study examined five attributes: environmental cleanliness, price, security (CCTV), bathroom type, and room size. The findings indicate that the most preferred boarding house profile includes total cleaning services, a monthly rental price of IDR 1.500.000 – IDR 2.000.000, CCTV provision, an indoor bathroom, and a room size of 3 × 6 meters. Overall, affordability, cleanliness, security, and supporting facilities were found to be the most influential factors in workers’ boarding house selection decisions. The findings provide practical insights for boarding house owners in designing accommodation offerings that better align with workers’ preferences.
Keywords:
consumer preference boarding house conjoint analysis workers sustainable cities and communities.References
Abdulghani, T., Jaelani, L., & Sidik, J. (2021). Android based information system of indekos booking and rentation locations in Cianjur District. Journal of Physics: Conference Series, 1764(1), Article 012157. https://doi.org/10.1088/1742-6596/1764/1/012157
Adisa, S., & Simpeh, F. (2021). A comparative analysis of student housing security measures. IOP Conference Series: Earth and Environmental Science, 654(1), Article 012017. https://doi.org/10.1088/1755-1315/654/1/012017
Ali, S. N. M., Tarmidi, Z., Maimun, N. H. A., Noor, N. A. M., Hassan, N., Sidek, A., Nasir, A. N. M., & Ramly, Z. M. (2022). Assessing safety level of affordable housing based on safe city concepts. IOP Conference Series: Earth and Environmental Science, 1064(1), Article 012013. https://doi.org/10.1088/1755-1315/1064/1/012013
Al-Omari, B., Farhat, J., & Ershaid, M. (2022). Conjoint analysis: A research method to study patients’ preferences and personalize care. Journal of Personalized Medicine, 12(2), Article 274. https://doi.org/10.3390/jpm12020274
Amoah, C., Bamfo-Agyei, E., & Simpeh, F. (2025). Student accommodation selection factors: The perspective of tertiary students in public universities in Ghana. Journal of Real Estate Literature, 33(1), 40–60. https://doi.org/10.1080/09277544.2024.2426320
Bentley, R., Mason, K., Jacobs, D., Blakely, T., Howden-Chapman, P., Li, A., Adamkiewicz, G., & Reeves, A. (2025). Housing as a social determinant of health: A contemporary framework. The Lancet Public Health, 10(10), e855–e864. https://doi.org/10.1016/S2468-2667(25)00142-2
Cambridge Dictionary. (n.d.). Substitution effect. In Cambridge dictionary. Retrieved June 14, 2026, from https://dictionary.cambridge.org/dictionary/english/substitution-effect
Casteel, A., & Bridier, N. L. (2021). Describing populations and samples in doctoral student research. International Journal of Doctoral Studies, 16, 339–362. https://doi.org/10.28945/4766
Cleland, J., O’Sullivan, P., & Kuper, A. (2024). I’d like to use a questionnaire (sub-text: this will be an easy way to get data. Right?). Advances in Health Sciences Education, 29(1), 5–7. https://doi.org/10.1007/s10459-024-10321-7
Firmansyah, F., Farras, M. H., Sihotang, R. Z. F., & Kusuma, S. H. (2025). Urban expansion patterns and metropolitan development: A comparative study of Malang Raya and Surabaya metropolitan area. IOP Conference Series: Earth and Environmental Science, 1498(1), Article 012017. https://doi.org/10.1088/1755-1315/1498/1/012017
Granda, D., Mateo-Peinado, L., Obaco, M., & Urrutia-Mosquera, J. (2025). Housing deprivation in rapidly urbanizing regions: Evidence from functional urban areas in Sub-Saharan Africa, South Asia, and Southeast Asia. Global Challenges & Regional Science, 4, Article 100021. https://doi.org/10.1016/j.gcrs.2025.100021
Gu, J., & Ming, X. (2021). The influence of living conditions on self-rated health: Evidence from China. International Journal of Environmental Research and Public Health, 18(17), Article 9200. https://doi.org/10.3390/ijerph18179200
Hadiantini, R., & Sarifiyono, A. P. (2024). Conjoint analysis to determine the perceptions of restaurant consumers in choosing halal-certified all-you-can-eat restaurants. KnE Social Sciences. https://doi.org/10.18502/kss.v9i24.16845
Hou, C. H. Y., & Lai, J. H. K. (2022). User-centric student housing performance evaluation approach: A case study in the Netherlands. IOP Conference Series: Earth and Environmental Science, 1101(6), Article 062015. https://doi.org/10.1088/1755-1315/1101/6/062015
Hu, X., Suo, J., Kou, N., Wu, M., & Wang, S. (2024). Analysis of residential satisfaction in the conversion of Beijing’s stock buildings into rental housing. Scientific Reports, 14(1), Article 54081. https://doi.org/10.1038/s41598-024-54081-1
Izah, S. C., Sylva, L., & Hait, M. (2024). Cronbach’s alpha: A cornerstone in ensuring reliability and validity in environmental health assessment. ES Energy and Environment, 23. https://doi.org/10.30919/esee1057
Jawa Pos. (2024, June 21). Nilai properti di Surabaya Barat meningkat tajam, AREBI sebut harga tanah segitiga emas melonjak. Jawa Pos. https://www.jawapos.com/
Kotronoulas, G., Miguel, S., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E., Drury, A., Semple, C., Dieperink, K. B., & Papadopoulou, C. (2023). An overview of the fundamentals of data management, analysis, and interpretation in quantitative research. Seminars in Oncology Nursing, 39(2), Article 151398. https://doi.org/10.1016/j.soncn.2023.151398
Lungu, G. G., Chodzaza, E., Kamanga, M., Chikazinga, W., & Jere, D. (2023). Status of information, education, and communication as perceived by clients receiving antenatal care at Chiradzulu District Hospital in Malawi. BMC Women's Health, 23(1), Article 209. https://doi.org/10.1186/s12905-023-02209-2
Mamikos. (2025). Data persebaran indekos di wilayah Surabaya Barat [Market analysis dashboard]. https://mamikos.com/
Manik, A., Abdullah, D., & Razi, A. (2025). Analysis of boarding house feasibility and satisfaction using data mining with the C4.5 algorithm based on service quality and facilities. International Journal of Engineering, Science and Information Technology, 5(3), 122–131. https://doi.org/10.52088/ijesty.v5i3.896
Mazur, Ł., Bać, A., Vaverková, M. D., Winkler, J., Nowysz, A., & Koda, E. (2022). Evaluation of the quality of the housing environment using multi-criteria analysis that includes energy efficiency: A review. Energies, 15(20), Article 7750. https://doi.org/10.3390/en15207750
Moghayedi, A., Phiri, C., & Ellmann, A. M. (2023). Improving sustainability of affordable housing using innovative technologies: Case study of SIAH-Livable. Scientific African, 21, Article e01819. https://doi.org/10.1016/j.sciaf.2023.e01819
Mucha, L., Vámosi, K., & Totth, G. (2022). Examining the factors shaping consumer attitude towards the popular alcoholic beverages in Hungary. Heliyon, 8(9), Article e10571. https://doi.org/10.1016/j.heliyon.2022.e10571
Oktavallyan, S. D., Seftyarizki, D., & Wardhani, F. (2021). Student boarding house quality in term of health design (Case study: Boarding House near University of Bengkulu). IOP Conference Series: Earth and Environmental Science, 738(1), Article 012027. https://doi.org/10.1088/1755-1315/738/1/012027
Ong, A. K. S., Prasetyo, Y. T., Libiran, M. A. D. C., Lontoc, Y. M. A., Lunaria, J. A. V., Manalo, A. M., Miraja, B. A., Young, M. N., Chuenyindee, T., Persada, S. F., & Redi, A. A. N. P. (2021). Consumer preference analysis on attributes of milk tea: A conjoint analysis approach. Foods, 10(6), Article 1382. https://doi.org/10.3390/foods10061382
Oxford University Press. (n.d.). Facility. In Oxford English dictionary. Retrieved June 14, 2026, from https://www.oed.com/
Patwardhan, V., Prasetyo, Y. T., & Ong, A. K. S. (2025). Evaluating consumer trade-offs in urban service selections using conjoint analysis. Journal of Retailing and Consumer Services, 82, Article 104123. https://doi.org/10.1016/j.jretconser.2024.104123
Pemerintah Kota Surabaya. (2025). Surabaya dalam angka 2025: Laporan data penduduk non-permanen dan penyedia jasa hunian sewa (Dispendukcapil Report No. 41). Dinas Kependudukan dan Pencatatan Sipil Kota Surabaya. https://www.surabaya.go.id/
Persada, S. F., Nadlifatin, R., Wibowo, A. C. M., Setiyati, E. A., Belgiawan, P. F., Tri Prasetyo, Y., Ong, A. K. S., & Young, M. N. (2024). Indonesia consumer preferences on attributes of marketplace platform: A conjoint analysis approach. Cogent Business & Management, 11(1), Article 2361868. https://doi.org/10.1080/23311975.2024.2361868
Prasetyo, Y. T., Cahigas, M. M. L., Tan, A. P., Kurniawan, L. E., Prawiro, S. N., Nadlifatin, R., Gumasing, M. J. J., & Ayuwati, I. D. (2024). The Indonesian consumer perspective on the massage industry: A conjoint analysis approach. PLOS ONE, 19(8), Article e0308098. https://doi.org/10.1371/journal.pone.0308098
Prasetyo, Y. T., Gunawan, L. S., Belmonte, Z. J. A., Cahigas, M. M. L., Nadlifatin, R., & Gumasing, M. J. J. (2026). Preference analysis on piano music school attributes among young pianists: A conjoint analysis approach. Acta Psychologica, 262, Article 106070. https://doi.org/10.1016/j.actpsy.2025.106070
Raheemy, Y., Sherratt, F., & Hallowell, M. R. (2025). What is safety? Contemporary definitions and interpretations across North America. Safety Science, 185, Article 106798. https://doi.org/10.1016/j.ssci.2025.106798
Ristanti, N. R., Simanjorang, E. F. S., & Limbong, C. H. (2023). Analysis of the factors affecting the interest of overseas students in choosing a boarding house. Munaddhomah, 4(4), 845–854. https://doi.org/10.31538/munaddhomah.v4i4.442
Stratton, S. J. (2023). Population sampling: Probability and non-probability techniques. Prehospital and Disaster Medicine, 38(2), 147–148. https://doi.org/10.1017/S1049023X23000304
Sun, S., & Pan, Y. (2023). Effects of service quality and service convenience on customer satisfaction and loyalty in self-service fitness centers. Sustainability, 15(19), Article 14099. https://doi.org/10.3390/su151914099
Sung, B., Park, K. M., Park, C. G., Kim, Y. H., Lee, J., & Jin, T. E. (2023). What drives researcher preferences for chemical compounds? Evidence from conjoint analysis. PLOS ONE, 18(11), Article e0294576. https://doi.org/10.1371/journal.pone.0294576
Vonk, J. (2023). Developing a preference scale for a bear: From “Bearly Like” to “Like Beary Much.” Animals, 13(9), Article 1554. https://doi.org/10.3390/ani13091554
Wang, F., Wang, H., & Cho, J. H. (2022). Consumer preference for yogurt packaging design using conjoint analysis. Sustainability, 14(6), Article 3463. https://doi.org/10.3390/su14063463
Xu, X., Choi, T. M., Chung, S. H., & Guo, S. (2023). Collaborative-commerce in supply chains: A review and classification of analytical models. International Journal of Production Economics, 263, Article 108922. https://doi.org/10.1016/j.ijpe.2023.108922
License
Copyright (c) 2026 Jovan Angelo, Agustiono

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









