DOI: https://doi.org/10.21456/vol14iss3pp237-246

Model Perencanaan Tata Ruang Wilayah menggunakan Spatial Temporal Autocorrelation (Studi Kasus: Kabupaten Jayawijaya)

*Waiki Elkius Kogoya orcid  -  Magister Sistem Informasi, Universitas Kristen Satya Wacana, Indonesia
Sri Yulianto Prasetyo  -  Magister Sistem Informasi, Universitas Kristen Satya Wacana, Indonesia
Wiwin Sulistyo  -  Magister Sistem Informasi, Universitas Kristen Satya Wacana, Indonesia
Open Access Copyright (c) 2024 Jurnal Sistem Informasi Bisnis

Citation Format:
Abstract
Jayawijaya Regency faces various challenges in the use of land tenure status in urban planning areas (RTRW). This study focuses on the RTRW Spatial Pattern Plan in Wamena Urban on changes in land tenure with a spatial temporal autocorrelation (STA) approach. The results showed that there were two spatial patterns formed in the Wamena Urban Area, namely cluster patterns and dispersed patterns. Cluster patterns are formed in airports, urban areas, flat woodland agriculture, local protection/LIPI plantations, and river boundaries. Dispersed patterns are formed in community plantations and scrubs, rural settlements, wetland agriculture, slope dryland agriculture, and mining. The results of the analysis showed that cluster patterns in the Airport, Urban, Flat Dryland Agriculture, Local Protection/LIPI Plantations, and River Border areas showed significant changes in land tenure status. Climate change, infrastructure development, and population growth are some of the factors causing these changes. Meanwhile, dispersed patterns in community plantations/shrubs, rural settlements, wetland agriculture, slope dryland agriculture, and mining showed no significant change in land tenure status. This is due to factors such as conflicts over customary rights to land ownership. This study provides an overview of spatial patterns of changes in land tenure status in the Wamena Urban Area. The results of this research can be used as a basis for the formulation of land management policies and strategies in the region.

Note: This article has supplementary file(s).

Fulltext View|Download |  Research Results
Model Perencanaan Tata Ruang Wilayah Dengan Menggunakan Spatial Temporal Autocorrelation (Studi Kasus : Kabupaten Jayawijaya)itled
Subject Jayawijaya, RTRW, change in land tenure status, spatial pattern
Type Research Results
  Download (478KB)    Indexing metadata
Keywords: Jayawijaya, RTRW, change in land tenure status, spatial pattern

Article Metrics:

Article Info
Section: Research Articles
Language : ID
Recent articles
Kombinasi Modified K-Nearest Neighbor dan Certainty Factor untuk Peningkatan Akurasi Diagnosis Malnutrisi Pengembangan Game Edukasi Digital Tema Seni dan Bahasa dengan Metode Multimedia Development Life Cycle Perbandingan Metode Machine Learning dalam Analisis Sentimen Komentar Pengguna Aplikasi InDriver pada Dataset Tidak Seimbang Front matter JSINBIS 14 (3) 2024 Back matter JSINBIS 14 (3) 2024 Preface JSINBIS 14 (3) 2024 More recent articles
Most cited articles
Metode Quality Function Deployment Dan Fuzzy Topsis Untuk Sistem Pendukung Keputusan Pemilihan Perusahaan Penyedia Jasa Internet Perencanaan Infrastruktur Teknologi Informasi pada Bank dengan Framework TOGAF Implementasi Algoritma K-Nearest Neighbor Sebagai Pendukung Keputusan Klasifikasi Penerima Beasiswa PPA dan BBM Algoritma K-Means Clustering Untuk Pengelompokan Ayat Al Quran Pada Terjemahan Bahasa Indonesia Sistem Panel Kinerja Untuk Program Studi Sarjana Berbasis BAN PT More cited articles
  1. Agraria, M., Tata, D.A.N., Badan, K., Nasional, P., Badan, K., Nasional, P., 2018. Menteri agraria dan tata ruang/kepala badan pertanahan nasional
  2. Dan, P., Wilayah, P., Pengembangan, P., Dari, W., Ke, W., (n.d.). Perencanaan dan pengembangan wilayah
  3. Fakta, L., Analisis, D.A.N., (n.d.). 4.1. analisis struktur internal wp. -67
  4. Fuadzy, H., Prasetyowati, H., Marliyanih, E. S., Hendra, A., & Dadang, A. M. (2021). Autokorelasi Spasial Demam Berdarah Dengue di Kota Tasikmalaya. 13(2)
  5. Igarta, K.R.R., Handayani, F., 2020. Analisis Spasial Sektor Pariwisata di Provinsi Kalimantan Selatan. Jurnal Borneo Administrator, 16(1), 81-100. https://doi.org/10.24258/jba.v16i1.628
  6. Lestari, W., Brata, A.S., Anhar, A., Rahmawati, S., 2023. Analisis Autokorelasi Spasial Global dan Lokal pada Data Kemiskinan Provinsi Bali. Jambura Journal of Mathematics, 5(1), 218-229. https://doi.org/10.34312/jjom.v5i1.18681
  7. Lina, T.N., Sediyono, E., Prasetyo, S.Y.J., 2017. Analisis Pemanfaatan Kawasan Wilayah Pesisir Menggunakan Local Indicators of Spatial Association (LISA) (Studi Kasus: Kabupaten Kulon Progo). Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 8(2), 781-790. https://doi.org/10.24176/simet.v8i2.1608
  8. Lutfi, A., Aidid, M.K., Sudarmin, S., 2019. Identifikasi Autokorelasi Spasial Angka Partisipasi Sekolah di Provinsi Sulawesi Selatan Menggunakan Indeks Moran. Journal of Statistics and Its Application on Teaching and Research, 1(2), 1-8. https://doi.org/10.35580/variansi.v1i2.9354
  9. Marinda, R., Sitorus, S.R.P., Pribadi, D.O., 2020. Analisis Pola Spasial Persebaran Kawasan Lahan Pertanian Pangan Berkelanjutan di Kabupaten Karawang. Jurnal Geografi, 12(2), 161-173. https://doi.org/10.24114/jg.v12i02.17646
  10. Simatauw, A., Sediyono, E., Prasetyo, S.Y.J., 2019. Autokorelasi Spasial Untuk Analisis Pola Pengawasan Kawasan Lindung di Kota Ambon Maluku. Teknika, 8(1), 36-43. https://doi.org/10.34148/teknika.v8i1.144
  11. Su, X., Shen, Y., Xiao, Y., Liu, Y., Cheng, H., Wan, L., Zhou, S., Yang, M., Wang, Q., Liu, G., 2022. Identifying Ecological Security Patterns Based on Ecosystem Services is a Significative Practice for Sustainable Development in Southwest China. Frontiers in Ecology and Evolution, 9, 1-13. https://doi.org/10.3389/fevo.2021.810204
  12. Yunitasari, D., Firdaus, A., 2022. Analisis Spasial Keterkaitan Perekonomian Wilayah dan Pendapatan Daerah di Indonesia dan Filipina. BISMA: Jurnal Bisnis Dan Manajemen, 16(1), 28. https://doi.org/10.19184/bisma.v16i1.13804

Last update:

No citation recorded.

Last update: 2024-11-21 02:27:27

No citation recorded.