Identifikasi Distribusi Spasial Hunian di Kabupaten Sleman Menggunakan Analisis Big Data
Abstract
Hunian menjadi salah satu kebutuhan dasar manusia yang apabila terpenuhi dengan baik akan menentukan kualitas hidup manusia. Penyediaan hunian lebih banyak dilakukan melalui mekanisme pasar properti yang bersifat kompetitif. Dalam beberapa hal, pemerintah perlu melakukan intervensi untuk memastikan agar mekanisme pasar properti dapat menjamin ketercukupan pemenuhan kebutuhan hunian. Untuk itu diperlukan pemahaman yang mendalam terkait karakteristik pasar properti tersebut. Penelitian ini dilakukan untuk memberikan pemahaman terkait karakteristik pasar properti di Kabupaten Sleman dengan mengidentifikasi distribusi spasial dari hunian yang ditawarkan pada pasar properti di Kabupaten Sleman. Analisis dilakukan menggunakan pendekatan analisis spasial yang bersifat eksploratif dengan data yang diambil dari maha data dari situs penyedia listing properti. Hasil penelitian menunjukkan adanya kecenderungan asosiatif lokasi hunian dengan area tertentu, seperti Jalan Kaliurang dan kelurahan di Kawasan Perkotaan Yogyakarta. Permintaan terhadap lokasi hunian sebagian besar berada pada wilayah-wilayah yang termasuk ke dalam Kawasan Perkotaan Yogyakarta. Tingginya permintaan hunian pada kawasan ini ditunjukkan melalui analisis hot-spot, yang menunjukkan adanya pengelompokan hunian dengan rentang harga tertinggi di wilayah yang termasuk ke dalam Kawasan Perkotaan Yogyakarta.
References
Alexander, E.R., 2014. Land-property markets and planning: A special case. Land use policy 41, 533–540. https://doi.org/10.1016/j.landusepol.2014.04.009
Alonso, W., 1964. Location and Land Use: Toward a General Theory of Land Rent. Harvard University Press, Cambridge, Massachusetts. https://doi.org/10.4159/harvard.9780674730854
Balchin, Paul N, Isaac, David, Chen, J., 2000. Urban Economics: A Global Perspective. Palgrave Macmillan, London.
Brokking, P., GarcÃa, M., Vaiou, D., Haddock, S.V., 2017. Housing and neighbourhood: Basic needs, governance and social innovation, in: Social Services Disrupted: Changes, Challenges and Policy Implications for Europe in Times of Austerity. pp. 342–360. https://doi.org/10.4337/9781786432117.00027
Eckert, J.K., 1990. Property Appraisal and Assessment Administration. International Association of Assessing Officers, Chicago, Illinois.
Efthymiou, D., Antoniou, C., 2013. How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece. Transp. Res. Part A Policy Pract. 52, 1–22. https://doi.org/10.1016/j.tra.2013.04.002
Evans, A.W., 2004. Land Values, Rents and Demand, in: Economics, Real Estate, and the Supply of Land. Blackwell Publishing, Oxford, pp. 11–29.
Hall, C.M., 2010. Spatial analysis: A critical tool for tourism geographies. Space, Place Tour. New Perspect. Tour. Geogr. 1–16.
Haque, I., Rana, M.J., Patel, P.P., 2020. Location matters: Unravelling the spatial dimensions of neighbourhood level housing quality in Kolkata, India. Habitat Int. 99, 102157. https://doi.org/10.1016/j.habitatint.2020.102157
Henilane, I., 2016. Housing Concept and Analysis of Housing Classification. Balt. J. Real Estate Econ. Constr. Manag. 4, 168–179. https://doi.org/10.1515/bjreecm-2016-0013
Ibeas, ángel, Cordera, R., Dell’Olio, L., Coppola, P., Dominguez, A., 2012. Modelling transport and real-estate values interactions in urban systems. J. Transp. Geogr. 24, 370–382. https://doi.org/10.1016/j.jtrangeo.2012.04.012
Kamim, A.B.M., Amal, I., Khandiq, M.R., 2019. Problematika Perumahan Perkotaan di Kota Yogyakarta. J. Sosiol. USK (Media Pemikir. Apl. 13, 34–54. https://doi.org/10.24815/jsu.v13i1.13494
Kopczewska, K., Ćwiakowski, P., 2021. Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants. Land use policy 103. https://doi.org/10.1016/j.landusepol.2021.105292
Leo, K.S.D., 2020. Preferensi Pemilihan Tipe Rumah dan Lokasi Perumahan Pada Masyarakat Menengah ke Atas di Daerah Pinggiran Kota Yogyakarta. Reka Ruang 2, 75–85. https://doi.org/10.33579/rkr.v2i2.1584
Liao, F.H., Farber, S., Ewing, R., 2015. Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis. Urban Stud. 52, 314–337. https://doi.org/10.1177/0042098014527138
Ling, D.C., Archer, W.R., 2004. The Nature of Real Estate and Real Estate Market, in: Real Estate Principles: A Value Approach. pp. 1–17.
Nijënstein, S., Haans, A., Kemperman, A.D.A.M., Borgers, A.W.J., 2015. Beyond demographics: human value orientation as a predictor of heterogeneity in student housing preferences. J. Hous. Built Environ. 30, 199–217. https://doi.org/10.1007/s10901-014-9402-9
Oktafianto, Sudrajat, A., Kawangit, R.M., Don, A.G., Huda, M., Saputri, A.D., Latif, A.A., Maseleno, A., 2018. Determining housing location using weighted product. Int. J. Eng. Technol. 7, 3563–3568. https://doi.org/10.14419/ijet.v7i4.18838
Ottensmann, J.R., Payton, S., Man, J., 2008. Urban location and housing prices within a hedonic model. J. Reg. Anal. Policy 38, 19–35. https://doi.org/10.22004/ag.econ.132338
Prihatin, R.B., 2015. Alih Fungsi Lahan di Perkotaan (Studi Kasus di Kota Bandung dan Yogyakarta). J. Aspir. Vol. 6, 105–118.
Rahadi, R.A., Wiryono, S.K., Koesrindartoto, D.P., Syamwil, I.B., 2015. Factors influencing the price of housing in Indonesia. Int. J. Hous. Mark. Anal. 8, 169–188. https://doi.org/http://dx.doi.org/10.1108/IJHMA-04-2014-0008
Rehman, A., Jamil, F., 2021. Impact of urban residential location choice on housing, travel demands and associated costs: Comparative analysis with empirical evidence from Pakistan. Transp. Res. Interdiscip. Perspect. 10, 100357. https://doi.org/10.1016/j.trip.2021.100357
Rosen, S., 1974. Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition. J. Polit. Econ. 34–55.
Rosiers, F. Des, Thériault, M., 2006. Mass Appraisal, Hedonic Price Modelling and Urban Externalities: Understanding Property Value Shaping Processes By Advances in Mass Appraisal Methods Seminar,.
Schnare, A.B., Struyk, R.J., 1976. Segmentation in urban housing markets. J. Urban Econ. 3, 146–166. https://doi.org/10.1016/0094-1190(76)90050-4
Susilo, B., Afani, M.R., Hidayah, S.I., 2021. Integrasi Analisis Spasial dan Statistik untuk Identifikasi Pola dan Faktor Determinan Perkembangan Kota Yogyakarta. Maj. Geogr. Indones. 35, 156–162. https://doi.org/10.22146/mgi.60526
Warsono, A., Soetomo, S., Wahyono, H., 2009. Perkembangan Permukiman Pinggiran Kota Pada Koridor Jalan Kaliurang Kecamatan Ngaglik Kabupaten Sleman. J. Tata Kota dan Drh. 1, 19–23.
Wu, C., Sharma, R., 2012. Housing submarket classification: The role of spatial contiguity. Appl. Geogr. 32, 746–756. https://doi.org/10.1016/j.apgeog.2011.08.011
Wu, J., Cho, S., 2007. The effect of local land use regulations on urban development in the Western United States 37, 69–86. https://doi.org/10.1016/j.regsciurbeco.2006.06.008
Wu, Y., Wei, Y.D., Li, H., 2020. Analyzing Spatial Heterogeneity of Housing Prices Using Large Datasets. Appl. Spat. Anal. Policy 13, 223–256. https://doi.org/10.1007/s12061-019-09301-x
Alonso, W., 1964. Location and Land Use: Toward a General Theory of Land Rent. Harvard University Press, Cambridge, Massachusetts. https://doi.org/10.4159/harvard.9780674730854
Balchin, Paul N, Isaac, David, Chen, J., 2000. Urban Economics: A Global Perspective. Palgrave Macmillan, London.
Brokking, P., GarcÃa, M., Vaiou, D., Haddock, S.V., 2017. Housing and neighbourhood: Basic needs, governance and social innovation, in: Social Services Disrupted: Changes, Challenges and Policy Implications for Europe in Times of Austerity. pp. 342–360. https://doi.org/10.4337/9781786432117.00027
Eckert, J.K., 1990. Property Appraisal and Assessment Administration. International Association of Assessing Officers, Chicago, Illinois.
Efthymiou, D., Antoniou, C., 2013. How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece. Transp. Res. Part A Policy Pract. 52, 1–22. https://doi.org/10.1016/j.tra.2013.04.002
Evans, A.W., 2004. Land Values, Rents and Demand, in: Economics, Real Estate, and the Supply of Land. Blackwell Publishing, Oxford, pp. 11–29.
Hall, C.M., 2010. Spatial analysis: A critical tool for tourism geographies. Space, Place Tour. New Perspect. Tour. Geogr. 1–16.
Haque, I., Rana, M.J., Patel, P.P., 2020. Location matters: Unravelling the spatial dimensions of neighbourhood level housing quality in Kolkata, India. Habitat Int. 99, 102157. https://doi.org/10.1016/j.habitatint.2020.102157
Henilane, I., 2016. Housing Concept and Analysis of Housing Classification. Balt. J. Real Estate Econ. Constr. Manag. 4, 168–179. https://doi.org/10.1515/bjreecm-2016-0013
Ibeas, ángel, Cordera, R., Dell’Olio, L., Coppola, P., Dominguez, A., 2012. Modelling transport and real-estate values interactions in urban systems. J. Transp. Geogr. 24, 370–382. https://doi.org/10.1016/j.jtrangeo.2012.04.012
Kamim, A.B.M., Amal, I., Khandiq, M.R., 2019. Problematika Perumahan Perkotaan di Kota Yogyakarta. J. Sosiol. USK (Media Pemikir. Apl. 13, 34–54. https://doi.org/10.24815/jsu.v13i1.13494
Kopczewska, K., Ćwiakowski, P., 2021. Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants. Land use policy 103. https://doi.org/10.1016/j.landusepol.2021.105292
Leo, K.S.D., 2020. Preferensi Pemilihan Tipe Rumah dan Lokasi Perumahan Pada Masyarakat Menengah ke Atas di Daerah Pinggiran Kota Yogyakarta. Reka Ruang 2, 75–85. https://doi.org/10.33579/rkr.v2i2.1584
Liao, F.H., Farber, S., Ewing, R., 2015. Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis. Urban Stud. 52, 314–337. https://doi.org/10.1177/0042098014527138
Ling, D.C., Archer, W.R., 2004. The Nature of Real Estate and Real Estate Market, in: Real Estate Principles: A Value Approach. pp. 1–17.
Nijënstein, S., Haans, A., Kemperman, A.D.A.M., Borgers, A.W.J., 2015. Beyond demographics: human value orientation as a predictor of heterogeneity in student housing preferences. J. Hous. Built Environ. 30, 199–217. https://doi.org/10.1007/s10901-014-9402-9
Oktafianto, Sudrajat, A., Kawangit, R.M., Don, A.G., Huda, M., Saputri, A.D., Latif, A.A., Maseleno, A., 2018. Determining housing location using weighted product. Int. J. Eng. Technol. 7, 3563–3568. https://doi.org/10.14419/ijet.v7i4.18838
Ottensmann, J.R., Payton, S., Man, J., 2008. Urban location and housing prices within a hedonic model. J. Reg. Anal. Policy 38, 19–35. https://doi.org/10.22004/ag.econ.132338
Prihatin, R.B., 2015. Alih Fungsi Lahan di Perkotaan (Studi Kasus di Kota Bandung dan Yogyakarta). J. Aspir. Vol. 6, 105–118.
Rahadi, R.A., Wiryono, S.K., Koesrindartoto, D.P., Syamwil, I.B., 2015. Factors influencing the price of housing in Indonesia. Int. J. Hous. Mark. Anal. 8, 169–188. https://doi.org/http://dx.doi.org/10.1108/IJHMA-04-2014-0008
Rehman, A., Jamil, F., 2021. Impact of urban residential location choice on housing, travel demands and associated costs: Comparative analysis with empirical evidence from Pakistan. Transp. Res. Interdiscip. Perspect. 10, 100357. https://doi.org/10.1016/j.trip.2021.100357
Rosen, S., 1974. Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition. J. Polit. Econ. 34–55.
Rosiers, F. Des, Thériault, M., 2006. Mass Appraisal, Hedonic Price Modelling and Urban Externalities: Understanding Property Value Shaping Processes By Advances in Mass Appraisal Methods Seminar,.
Schnare, A.B., Struyk, R.J., 1976. Segmentation in urban housing markets. J. Urban Econ. 3, 146–166. https://doi.org/10.1016/0094-1190(76)90050-4
Susilo, B., Afani, M.R., Hidayah, S.I., 2021. Integrasi Analisis Spasial dan Statistik untuk Identifikasi Pola dan Faktor Determinan Perkembangan Kota Yogyakarta. Maj. Geogr. Indones. 35, 156–162. https://doi.org/10.22146/mgi.60526
Warsono, A., Soetomo, S., Wahyono, H., 2009. Perkembangan Permukiman Pinggiran Kota Pada Koridor Jalan Kaliurang Kecamatan Ngaglik Kabupaten Sleman. J. Tata Kota dan Drh. 1, 19–23.
Wu, C., Sharma, R., 2012. Housing submarket classification: The role of spatial contiguity. Appl. Geogr. 32, 746–756. https://doi.org/10.1016/j.apgeog.2011.08.011
Wu, J., Cho, S., 2007. The effect of local land use regulations on urban development in the Western United States 37, 69–86. https://doi.org/10.1016/j.regsciurbeco.2006.06.008
Wu, Y., Wei, Y.D., Li, H., 2020. Analyzing Spatial Heterogeneity of Housing Prices Using Large Datasets. Appl. Spat. Anal. Policy 13, 223–256. https://doi.org/10.1007/s12061-019-09301-x
Published
2022-11-11
How to Cite
Pramana, A. Y. E. and Fahril Fanani (2022) “Identifikasi Distribusi Spasial Hunian di Kabupaten Sleman Menggunakan Analisis Big Data”, ReTII, pp. 646-651. Available at: //journal.itny.ac.id/index.php/ReTII/article/view/3722 (Accessed: 22November2024).
Section
Articles
Prosiding ini memberikan akses terbuka langsung ke isinya dengan prinsip bahwa membuat penelitian tersedia secara gratis untuk publik mendukung pertukaran pengetahuan global yang lebih besar.
Semua artikel yang diterbitkan Open Access akan segera dan secara permanen gratis untuk dibaca dan diunduh semua orang.
