Analysis Of Land Value Zone Due To Land Use Change For Kendal Special Economic Zone (Case Study: Kaliwungu Sub-District, Kendal Regency)

Authors

  • Fauzi Janu Amarrohman Lecturer of Geodetic Engineering Department, Diponegoro University, Semarang 50275, Indonesia
  • Shofiyatul Qoyimah Lecturer of Geodetic Engineering Department, Diponegoro University, Semarang 50275, Indonesia
  • Erlinda Nofianti Student of Geodetic Engineering Department, Diponegoro University, Semarang 50275, Indonesia

DOI:

https://doi.org/10.30871/jagi.v9i1.6386

Keywords:

Land Use, Land Value Zone, Kendal Special Economic Zone, Linear Regression Analysis, Kaliwungu Sub-district

Abstract

Land use change in Kaliwungu Sub-district due to the development of Kendal Special Economic Zone is significant. The method used in this processing is overlay method. The analysis method used to determine the influence of Kendal Special Economic Zone on Land Value Zone is linear regression analysis.  There was a significant land use change in 2015-2019 amounting to 937.29 hectares while in 2019-2023 amounting to 495.92 hectares used as Kendal Special Economic Zone. The change of land value zone in Kaliwungu Sub-district is quite significant in 2015-2019 with the biggest increase of IDR 2,896,000 while in 2019-2023 there is the biggest increase of IDR 9,674,000. Based on the results of the linear regression test, there is an influence of the independent variable distance with the dependent variable, namely NIR 2023, which is indicated by the R Square value of 0.075 or 7.5% of the influence. According to the correlation test between the independent variable of the distance of Kendal Special Economic Zone to the centroid zone to NIR 2023, there is no correlation between the two because the correlation value is 0.00, while the independent variable of the distance of the national road to the centroid zone to NIR 2023 has a correlation with a negative correlation value (-0.271), which means that the farther the zone is from the national road, the lower the land price will be.

Downloads

Download data is not yet available.

References

Bagus, R. U. (2016, Januari). Teknik Sampling dan Penentuan Jumlah sampel. Retrieved from https://doi.org/10.13140/RG.2.1.5187.0808

Esri. (2018). How Create Space Time Cube works. Retrieved January 1, 2023, from ArcGIS Pro: https://pro.arcgis.com/en/pro-app/latest/tool-reference/space-time-pattern-mining/learnmorecreatecube.htm

Fahmeyzan, D., Etmy, D., & Sosraya, S. (2018). Uji Normalitas Data Omzet Bulanan Pelaku Ekonomi Mikro Desa Senggigi dengan Menggunakan Skewness dan Kurtosi. Jurnal VARIAN, 31-36.

Ghozali, I. (2016). Aplikasi Analisis Multivariate Dengan Program IBM SPSS 23 Edisi 8. Semarang: Badan Penerbit Universitas Diponegoro.

Harlan, J. (2018). Analisis Regresi Linear. Journal of Chemical Information and Modeling, 53(9).

Hermit, H. (2010). Teknik Penaksiran Harga Tanah Perkotaan. Mandar Maju.

Malingreau, J. P. (1977). Apropose Land Cover/Land Use Classification and its Use with Remote Sensing Data in Indonesia. The Indonesian Journal of Geography, 7(33).

Nawawi, Q. (2020, Januari 3). Resmi, Pemerintah Indonesia Tetapkan Kendal Jadi Kawasan Ekonomi Khusus. Retrieved from Jababeka & co.: https://www.jababeka.com/id/resmi-pemerintah-tetapkan-kendal-jadi-kawasan-ekonomi-khusus/

Paiman. (2019). Korelasi Dan Regresi Ilmu-Ilmu Pertanian.

Pangestu, A., Amarrohman, F. J., & Wijaya, A. P. (2023). Kajian Perubahan Penggunaan Lahan dan Zona Nilai Tanah Pasca Berdirinya Yogyakarta International Airport di Kapanewon Temon, Kabupaten Kulonprogo. Jurnal Geodesi Undip.

Park, K. I. (2020). Introduction Kendal Industrial Park. Retrieved Desember 5, 2022, from Kendal Industrial Park: https://www.kendalindustrialpark.co.id/page/index/16/introduction?p=1

Porter, D. C., Gujarati, & Damodar, N. (2009). Basic Econometric 5th Edition. McGraw-Hill.

PP No 85 Th 2019. (2019). Peraturan Pemerintah Republik Indonesia Nomor 85 Tahun 2019 Tentang Kawasan Ekonomi Khusus Kendal. Republik Indonesia.

Prahasta, E. (2006). Sistem Informasi Geografis:Membangun Aplikasi Web-Base GIS dengan MapServer. Bandung: Informatika.

Prasetyo, P. K., & Sudibyanung. (2019). Modul 5 : Penilaian Tanah Masal (Zona Nilai Tanah). In Praktik Tata Laksana Pengadaan Lahan dan Penilaian Tanah. Yogyakarta: STPN Yogyakarta.

Purnomo, A. R. (2016). Analisis Statistik Ekonomi dan Bisnis Dengan SPSS (CV. Wade Group (ed.)). CV: Wade Group.

Purwanto, Utaya, S., Handoyo, B., Bachri, S., Astuti, I. S., Utomo, K. S., & Aldianto, Y. E. (2020). Spatiotemporal Analysisi of COVID-19 Spread with Emerging Hostpot Analysis and Space-Time Cube Models in East Java, Indonesia. International Journal of Geo-Information.

Reksohadiprodjo, S., & Karseno, A. (1994). Ekonomi Perkotaan. Yogyakarta: BPFEE.

Sadewo, M. N., & Buchori, I. (2018, September). Simulasi Perubahan Lahan Akibat Pembangunan Kawasan Industri Kendal (KIK) Berbasis Cellular Automata. Majalah Geografi Indonesia, 32(2), 143.

Saputra, M. I., Dewi, C., & Murdapa, F. (2022). Analisis Perubahan Penggunaan Tanah dan Zona Nilai Tanah Akibat Pembangunan Mass Rapid Transit (MRT) Tahap 1 di Kecamatan Menteng Jakarta Pusat (Tahun 2014-2021). Jurnal Penelitian Geografi.

Setiawan, N. (2005). Diklat Metodelogi Penelitian Sosial. Inspektorat Jenderal Departemen Pendidikan Nasional, 25-28.

Sidauruk, S. A., Subiyanto, S., & Sukmono, A. (2016). Analisis Pengaruh Perubahan Penggunaan Lahan Terhadap Zona Nilai Tanah (Studi Kasus : Kecamatan Kaliwungu Kabupaten Kendal Tahun 2010-2015). Jurnal Geodesi Undip.

Sugandi, D., Somantri, L., & Sugito, N. T. (2009). Sistem Informasi Geografis (SIG). Jakarta: Pendidikan Geografi Universitas Pendidikan Indonesia.

Tumanggor, R., Subiyanto, I., & Yuwono, B. D. (2016). Pembuatan Peta Zona Nilai Tanah untuk Menentukan Nilai Jual Objek Pajak. Jurnal Geodesi Undip, 238.

Yuvalianda. (2019, May 5). Uji Hipotesis dan Penggunaannya Dalam Penelitian. Retrieved from Blog Yuva: https://yuvalianda.com/uji-hipotesis/

Downloads

Published

2025-06-26

Issue

Vol. 9 No. 1 (2025): Journal of Applied Geospatial Information (JAGI)

Section

Articles

License

Copyright (c) 2026 Journal of Applied Geospatial Information

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright @2023. This is an open-access article distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License which permits unrestricted use, distribution, and reproduction in any medium. Copyrights of all materials published in JAGI are freely available without charge to users or / institution. Users are allowed to read, download, copy, distribute, search, or link to full-text articles in this journal without asking by giving appropriate credit, provide a link to the license, and indicate if changes were made. All of the remix, transform, or build upon the material must distribute the contributions under the same license as the original.