PERAMALAN INDEKS HARGA PROPERTI RESIDENSIAL DI KOTA BANDUNG TAHUN 2023
Abstract
Residential property or house is a basic need for humans. The increase in population causes the need for residential properties also increased. Because availability does not increase while demand increases, a shortage occurs which causes property prices, especially houses, to increase. Residential property is not only used as a necessity, but can also be used as an investment. So it is important for the holder policies and housing developers and the public to find out current and future conditions of the property sector, especially residential property which will come. Residential property is divided into three types based on area soil, namely small type, medium type, and large type. Property Price Index Residential is one of the economic indicators that provide information on residential property developments on a quarterly basis current and future quarters. IHPR data obtained from surveys Residential Property Prices conducted by Bank Indonesia. The aim of this research is to predict the value of the residential property price index in Bandung City. Applying the ARIMA forecasting method, this study found that the value It is predicted that the IHPR in the city of Bandung from the first quarter of 2023 to the fourth quarter of 2023 has increased, so it is known that the residential property sector in the City Bandung is moving in a positive direction.
References
Badan Pusat Statistik. (2022). Statistik Indonesia 2022. 1101001, 790. https://www.bps.go.id/publication/2020/04/29/e9011b3155d45d70823c141f/statistik-indonesia-2020.html
Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1994). Time Series Analysis: Forecasting and Control. In Prentice-Hall, Inc. (3rd ed.). https://doi.org/10.2307/3150485
Garini, F. C., & Anbiya, W. (2022). Application of GARCH Forecasting Method in Predicting The Number of Rail Passengers (Thousands of People) in Jabodetabek Region. Jurnal Matematika, Statistika Dan Komputasi, 18(2), 198–223. https://doi.org/10.20956/j.v18i2.18382
Jumlah dan Laju Pertumbuhan Penduduk di Kota Bandung. (n.d.). Badan Pusat Statistik. Retrieved February 23, 2023, from https://bandungkota.bps.go.id/statictable/2020/07/06/687/jumlah-dan-laju-pertumbuhan-penduduk-di-kota-bandung-2014-2018.html
Jumlah Penduduk Menurut Provinsi di Indonesia (Ribu Jiwa), 2020-2022. (n.d.). Badan Pusat Statistik. Retrieved December 12, 2022, from https://sulut.bps.go.id/indicator/12/958/1/jumlah-penduduk-menurut-provinsi-di-indonesia.html
Mukron, M. H., Susianti, I., Azzahra, F., Kumala, Y. N., Widiyana, F. R., & Haris, M. Al. (2021). Peramalan Indeks Harga Konsumen Indonesia Menggunakan Autoregressive Integrated Moving Avarage. Jurnal Statistika Industri Dan Komputasi, 6(1), 20–25.
Peraturan Pemerintah RI. (2021). Peraturan Pemerintah Republik Indonesia Nomor 12 Tahun 2021 Tentang Perubahan Atas Peraturan Pemerintah Nomor 14 Tahun 2016 Tentang Penyelenggaraan Perumahan Dan Kawasan Permukiman. 086436, 1–15.
Survei Harga Properti Residensial (SHPR). (n.d.). Bank Indonesia. Retrieved March 1, 2023, from https://www.bi.go.id/id/publikasi/laporan/Documents/SHPR.zip
Todaro, M. P. (1997). Economic Development. In Addison Wesley Longman Limited (6th ed.).
Wei, W. W. S. (2005). Time Series Analysis: Univariate and Multivariate Methods (2nd ed.). Addison Wesley. https://doi.org/10.1080/00401706.1991.10484777
Widjaja, A. P. (2018). 9 Rahasia Membangun Kekayaan Melalui Properti di Zaman Digital. In PT Elex Media Komputindo.
Wiryada, P. G. B., Sumarjaya, I. W., & Sukarsa, I. K. G. (2021). Peramalan Indeks Harga Properti Residensial Menggunakan Metode Bayes. E-Jurnal Matematika, 10(2), 74. https://doi.org/10.24843/mtk.2021.v10.i02.p324

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