A Spatial Mapping for Profitability Consideration of Rental Houses in South Jakarta

  • Yuriduna Salma Faculty of Mathematics and Science, University of Indonesia, Depok, Indonesia
  • Trie Sakti Research Center for Social Welfare, Villages, and Connectivity National Research and Innovation Agency, Jakarta, Indonesia https://orcid.org/0000-0003-4221-5838

Abstract

The study aims to investigate the relationship between these spatial factors and the profitability of rent houses in the South Jakarta region. The population of South Jakarta reached 2.235.606 people as of 2023, with a percentage of occupying owned residential buildings of 51,36%. Estimates indicate that only approximately 1,148,207 people currently reside in private assets. Rental prices need to be considered based on the strategic location to minimize the risk of rental house business owners suffering losses. The imbalance in the supply and demand of the residential market will cause the availability of land in productive areas to be increasingly limited. The existence of an imbalance in market supply and demand can be an opportunity for prospective property entrepreneurs in the field of rental houses. This study is based on the rise in the price of houses, which leads to a lower level of community ownership of the houses. The analysis was carried out by calculating income predictions using multiple linear regression methods and spatial analysis between rental houses and the accessibility of public facilities in South Jakarta City. The results obtained indicate that the accessibility of public facilities in Setia Budi Sub-district provides an opportunity for high income.

Keywords: Boarding House, Income Rediction, Multiple Linear Regression, Spatial Analysis

Downloads

Download data is not yet available.

References

Abidoye, R. B., Puspitasari, G., Sunindijo, R., & Adabre, M. (2021). Young adults and homeownership in Jakarta, Indonesia. International Journal of Housing Markets and Analysis, 14(2), 333–350. https://doi.org/10.1108/IJHMA-03-2020-0030.

Abuzwidah, M. (2014). Traffic Safety Assessment of Different Toll Collection Systems on Expressways Using Multiple Analytical Techniques. University of Central Florida. Accessed by https://stars.library.ucf.edu/etd/642.

Alamri, S., Adhinugraha, K., Allheeib, N., & Taniar, D. (2023). GIS Analysis of Adequate Accessibility to Public Transportation in Metropolitan Areas. ISPRS International Journal of Geo-Information, 12(5). https://doi.org/10.3390/ijgi12050180.

Azad, Abdulhafedh. (2022). Incorporating Multiple Linear Regression in Predicting the House Prices Using a Big Real Estate Dataset with 80 Independent Variables. Open Access Library Journal, 9, 1 – 21. DOI: 10.4236/oalib.1108346.

Boarnet, M. G., & Chalermpong, S. (2001). New Highways, House Prices, and Urban Development: A Case Study of Toll Roads in Orange County, CA. Housing Policy Debate, 12(3), 575–605.

BPS. (2023). Persentase Rumah Tangga yang Menempati Bangunan Tempat Tinggal Milik Sendiri Menurut Kabupaten/Kota di Provinsi DKI Jakarta (Persen), 2022. Accessed by https://jakarta.bps.go.id/id/statistics-table/2/MTA3OCMy/persentase-rumah-tangga-yang-menempati-bangunan-tempat-tinggal-milik-sendiri-menurut-kabupaten-kota-di-provinsi-dki-jakarta.html.

BPS. (2024). Jumlah Penduduk Menurut Kabupaten/Kota di Provinsi DKI Jakarta (Jiwa), 2022-2023. Accessed by https://jakarta.bps.go.id/id/statistics-table/2/MTI3MCMy/jumlah-penduduk-menurut-kabupaten-kota-di-provinsi-dki-jakarta-html.

BPS. (2024). Kota Jakarta Selatan Dalam Angka 2024. Jakarta Selatan.

BPS. (2024). Provinsi Jakarta Dalam Angka 2024. Provinsi Jakarta.

Brandt, S., Maennig, W., & Richter, F. (2013). Do places of worship affect housing prices? Evidence from Germany. Univ., Fac. Economics and Social Science, Chair for Economic Policy.

Dhita, S. V. (2020). Efek Spasial Pada Deposito Perbankan Syariah di Indonesia. Universitas Islam Negeri Maulana Malik Ibrahim.

Fauzi, M. (2022). Analisa Kelayakan Finansial Pengembangan Usaha Kos. Seminar Nasional Potensi Dan Kemandirian Daerah, 001–010.

Gibbons, S., & Machin, S. (2008). Valuing school quality, better transport, and lower crime: Evidence from house prices. Oxford Review of Economic Policy, 24(1), 99–119. https://doi.org/10.1093/oxrep/grn008.

Isa, M. H. (2021). The Housing Preferences of Workers in Jakarta. Thesis.

Alexander, Hilda B. (2013). Setelah Perkantoran, Simatupang Dilanda Gelombang Hotel dan Apartemen. Accessed by https://properti.kompas.com/read/2014/03/01/0818284/Setelah.Perkantoran.Simatupang.Dilanda.Gelombang.Hotel.dan.Apartemen#google_vignette .

Labib Mu’tashim, M., Damayanti, S. A., Zaki, H. N., Muhayat, T., & Wirawan, R. (2021). Analisis Prediksi Harga Rumah Sesuai Spesifikasi Menggunakan Multiple Linear Regression. Jurnal Informatik, 17(3), 2021.

Mulder, C.H. (2007). The family context and residential choice: a challenge for new research. Journal Population, Space and Place, 13(4), 265-278. DOI:10.1002/psp.456.

N. T. M. Sagala and L. H. Cendriawan. (2022). House Price Prediction Using Linier Regression. IEEE 8th International Conference on Computing, Engineering and Design (ICCED), 1-5. Doi: 10.1109/ICCED56140.2022.10010684.

Prawira, K., Herlambang, S., & Rahardjo, P. (2020). Pengaruh Pengembangan Perkantoran dan Apartemen di Jalan TB. Simatupang, Jakarta Selatan Terhadap Perubahan Perumahan Sekitar. Jurnal Sains, Teknologi, Urban, Perancangan, Arsitektur (Stupa), 2(2), 2643. https://doi.org/10.24912/stupa.v2i2.8864

Prabowo, K. W. (2023). Meningkat 7%, 151 Ribu Perantau Serbu Jakarta Sepanjang 2022. Accessed by https://www.medcom.id/nasional/metro/9K5DnvBk-meningkat-7-151-ribu-perantau-serbu-jakarta-sepanjang-2022.

Rahadi, R. A., Wiryono, S. K., Koesrindartoto, D. P., & Syamwil, I. B. (2015a). Comparison of the property practitioners and consumer preferences on housing prices in the Jakarta metropolitan region. International Journal of Housing Markets and Analysis, 8(3), 335–358. https://doi.org/10.1108/IJHMA-10-2014-0043.

Rahadi, R. A., Wiryono, S. K., Koesrindartoto, D. P., & Syamwil, I. B. (2015b). Factors influencing the price of housing in indonesia. International Journal of Housing Markets and Analysis, 8(2), 169–188. https://doi.org/10.1108/IJHMA-04-2014-0008.

Rahadi, R. A., Wiryono, S. K., Koesrindartoto, D. P., & Syamwil, I. B. (2016). Factors Affecting Housing Products Price in Jakarta Metropolitan Region. In International Journal of Property Science (Vol. 6).

Ritchie H., Samborska V., & Roser M. (2024). Urbanization. Accessed via Urbanization Urbanization - Our World in Data

Supriyono. (2024). Efek Spasial Capital, Asset dan Earning Perbankan Syariah dan Pengaruhnya Terhadap Pertumbuhan Ekonomi di Asia. Universitas Islam Negeri Syarif Hidayatullah.

Tafridj, I. (2021). Mapping the housing needs of the urban middle class in greater Jakarta. IOP Conference Series: Earth and Environmental Science, 780(1). https://doi.org/10.1088/1755-1315/780/1/012004toto.

Tong, K. (2024). Urbanization moderates the transitional linkages between energy resource use, greenhouse gas emissions, socio-economic and human development: Insights from subnational analyses in China. Journal of Cleaner Production, 476. https://doi.org/10.1016/j.jclepro.2024.143776.

Vadali, S. (2008). Toll roads and economic development: exploring effects on property values. The Annals of Regional Science, 42(3), 591-620. https://doi.org/10.1007/s00168-007-0180-0.

Waddell, P., Berry, B. J. L., & Hoch, I. (1993). Residential property values in a multinodal urban area: New evidence on the implicit price of location. The Journal of Real Estate Finance and Economics, 7(2), 117–141. https://doi.org/10.1007/BF01258322.

Wen, H., Zhang, Y. and Zhang, L. (2014). Do educational facilities affect housing price? An empirical study in Hangzhou, China. Habitat International, 42, 155-163. https://doi.org/10.1016/j.habitatint.2013.12.004.

Wullur, M., & Kumaat, J. C. (2020). Sistem Informasi Geografis dan Rantai Pasok?: Bagaimana Geografi Dapat Memperkuat Analisis Rantai Pasok? Jurnal Episentrum, 1(1), 44–47. https://doi.org/10.1016/j.autcon.2012.12.0.

Zhang, Q. (2021). Housing Price Prediction Based on Multiple Linear Regression. Scientific Programming, 2021. https://doi.org/10.1155/2021/7678931.

CROSSMARK
Published
2024-11-13
DIMENSIONS
How to Cite
Salma, Y., & Sakti, T. (2024). A Spatial Mapping for Profitability Consideration of Rental Houses in South Jakarta . BHUMI: Jurnal Agraria Dan Pertanahan, 10(2), 242–267. https://doi.org/10.31292/bhumi.v10i2.781