Forecasting Policy Pemindahan Kegiatan Pemerintahan Terhadap Pembangunan di Wilayah Selatan Kota Mataram

Authors

  • Muhammad Aprian Jailani Universitas Muhammadiyah Mataram

DOI:

https://doi.org/10.21776/ub.jiap/2023.009.02.5

Keywords:

taman kota; ruang publik; Kota Mataram; persepsi; preferensi

Abstract

Forecasting Policy is an approach to predicting phenomena that will occur in the future through data.  The purpose of the research is as a basis for policy makers to minimize the occurrence of the same empirical problems encountered in the current government location in the Mataram City government in the Southern Region. This research uses a descriptive and qualitative approach with a triangulation analysis model. The results showed that the transfer of administration to the southern region in the policy forecasting approach had problems that in the lamp also occurred in various aspects such as the economy (street vendors, stalls et cetera), the environment, traffic, and particularly like prisons which are activities every year in the Mataram City area or more directed to cultural aspects. However, this impact does not rule out the possibility of obtaining improvement and development of places in the southern region of Mataram City.

References

Badan Pusat Statistik Kota Mataram. (2020). Kepadatan Penduduk Tahun 2019. BPS Kota Mataram.

Balitbang Kota Mataram. (2019). FGD Kajian Pemindahan Pusat Pemerintahan Kota Mataram. Kota Mataram. Badan Penelitian dan Pengembangan Kota Mataram.

Cristhoper, A. S. (1986). Are Forecasting Models Usable for Policy Analysis. Federal Reserve Bank of Minneapolis.

Dunn, W. N. (2000). Pengantar Analisis Kebijakan Publik. Gadjah Mada University Press.

Dunn, W. N. (2018). Public Policy Analysis: An Integrated Approach Sixth Edition. Routledge.

Hasibuan, R. R. A. & Aisa. S. (2020). Dampak dan Resiko Perpindahan Ibu Kota Terhadap Ekonomi di Indonesia. AT-TAWASSUTH: Jurnal Ekonomi Islam, 5(1), 183 – 203. http://dx.doi.org/10.30829/ajei.v5i1.7947

Ishenda, D. K. (2019). Determinants in Relocation of Capital Cities. Journal of Public Administration and Governance, 9(4). 200-220. https://doi.org/10.5296/jpag.v9i4.15983

Labolo, M., Averus, A., & Udin, M., M. (2018). Determinant Factor of Central Government Relocation In Palangkaraya, Central Kalimantan Province. International Journal of Business and Management. 2(3), 52-65. 10.26666/rmp.ijbm.2018.3.8

Manan, A. M. A. & Suprayitno, H. (2020). Preliminary Overview of Several Capital Relocations in Relationship with a Plan of Indonesian Capital Relocation. Journal of Infrastructure and Facility Asset Management. 2(1), 73-90. http://dx.doi.org/10.12962/jifam.v2i1.6966

Miles, M. B., Huberman, A. M., & Saldana, J. (2014). Qualitative Data Analysis (Rohidi, T. R, Penerjemah). UI Press.

Moleong, L. J. (2011). Metodologi Penelitian Kualitatif Edisi Revisi. Remaja Rosdakarya.

Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M. Z., Barrow, D. K., Taieb, S. B., Bergmeir, C., Bessa, R. J., Bijak, J., Boylan, J. E., Browell, J., Carnevale, C., Castle, J. L., Cirillo, P., Clements, M. P., Cordeiro, C., Oliveira, F. L. C., Baets, S. D., Dokumentov, A., Ellison, J., … Ziel, F. (2022). Forecasting: Theory and practice. International Journal of Forecasting. 38(3), 705-871. https://www.sciencedirect.com/science/article/pii/S0169207021001758

Taufiq, M. (2017). Pemindahan Ibu Kota dan Potensi Konektivitas Pemerataan Ekonomi. Prosiding Seminar Nasional Program Pendidikan Vokasi Universitas Indonesia Bekerjasama dengan Pemerintah Kota Palangka Raya.

Downloads

Published

2023-09-18