Keywords
prediction
comparison
Categories
How to Cite
Abstract
This article discusses the comparative analysis of factors affecting the selling price of houses between the city of DKI Jaka rta and the city of Surabaya. The study uses quantitative methods through Minitab 17.0 software. Analysis of research uses hedonic prices with data obtained from home sale sites. The findings of this study are factors that affect housing prices in Surabaya, the distance between the house and the town hall and the main road, electrical, namely the amount of electric power, land area, distance between the house and public facilities, and information on the quality of housing materials. While the factor determining the selling price of houses in DKI Jakarta is the distance between the house and the main road, land area, PDAM water and road type or the type of road location of the house
References
M. Z. Asmawi, N. M. Noor, M. Nasrul, H. Manzahari, and A. Abdullah, “The Relationship Between Open Spaces and House Prices in Selected Townships in Kuala Lumpur, Malaysia,” in Proceedings of SOCIOINT14-International Conference on Social Sciences and Humanities, 2014, pp. 1057–1066.
S. Brauckmann and A. Ciarlone, “City tourism and the sharing economy– potential effects of online peer-to-peer marketplaces on urban property markets,” Journal of Tourism Futures, vol. 3, no. 2, pp. 17–52, 2017, doi: 10.1108/SEF-11-2013-0170.
V. Limsombunchai, “House Price Prediction : Hedonic Price Model vs,” 2004.
M. A. Mohit, M. Ibrahim, and Y. R. Rashid, “of residential satisfaction in newly designed public low-cost housing in Kuala Lumpur , Malaysia,” Habitat International, vol. 34, no. 1, pp. 18–27, 2010, doi: 10.1016/j.habitatint.2009.04.002.
J. Zietz, E. N. Zietz, and G. S. Sirmans, “Determinants of House Prices : A Quantile Regression Approach,” Journal of Real Estate Finan Econ, vol. 37, pp. 317–333, 2008, doi: 10.1007/s11146-007-9053-7.
N. Girouard, M. Kennedy, P. V. D. Noord, and C. André, “Recent House Price Developments : The Role of Fundamentals,” OECD Economics Department Working Papers, vol. 475, 2006.
P. D. Vries and P. Boelhouwer, “Local house price developments and housing supply,” Property Management, vol. 23, no. 2, pp. 80–96, 2005, doi: 10.1108/02637470510589968.
G. Fan, S. E. Ong, and H. C. Koh, “Determinants of House Price : A Decision Tree Approach,” Urban Studies, vol. 43, no. 12, pp. 2301–2315, 2006.
B. Keskin, “Hedonic analysis of price in the istanbul housing market,” International Journal of Strategic Property Management, vol. 12, no. 2, pp. 125–138, 2008, doi: 10.3846/1648-.
J. Hahn, J. Hirsch, and S. Bienert, “Does ‘ clean ’ pay off ? Housing markets and their perception of heating technology,” Property Management, vol. 36, no. 5, pp. 575–596, 2018, doi: 10.1108/PM-08-2017-0051.
G. Smith, “Learning Statistics by Doing Statistics 2 . Working With Data,” Journal of Statistics Education,6(3, 1998, doi: 10.1080/10691898.1998.11910623.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2021 Endah Tri Wahyuningtyas, Dina Anggraeni Susesti