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INDONESIA
Jurnal Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi
Published by Universitas PGRI Sumatera Barat
ISSN : 25408933     EISSN : 25414380     DOI : https://doi.org/10.22202/js
Core Subject : Science, Social,
Astronomy Earth & Planetary Sciences Environmental Science Physics Social Sciences
Scope of publications includes physical geography, human geography, regional planning and development, cartography, remote sensing, geographic information system, geography education, and environmental science.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol 11, No 2 (2024)" : 5 Documents clear
ANALISIS VERIFIKASI TEKNIS PENEGASAN DAN PENETAPAN BATAS DESA/KELURAHAN DIKOTA JAYAPURA PROVINSI PAPUA Sandra, Alex; Zuriyani, Elvi; Rahmat, Firdaus; Belvandi, Fajri
Jurnal Spasial Vol 11, No 2 (2024)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v11i2.9906

Abstract

To provide legal certainty regarding regional management, village boundaries are determined and confirmed. Based on Minister of Home Affairs Regulation Number 45 of 2016, regional heads form Village Boundary Determination and Confirmation Teams at the district level to determine and establish village boundaries. This is done by determining points and boundary lines and pouring them into the map. Organizing geospatial information includes determining and confirming village boundaries. This produces the basic components of village or sub-district administrative boundaries. Government Regulation Number 45 of 2021 concerning the Implementation of Geospatial Information stipulates that operations related to geospatial information must be coordinated with the Geospatial Information Agency (BIG). Through the Circular Letter of the Director General of Village Government Development, Ministry of Home Affairs Number 1463/3835/BPD dated 30 August 2021, the Ministry of Home Affairs and BIG synchronized the determination and confirmation of village boundaries. Based on the circular, BIG will be technically responsible for the process of determining and confirming village boundaries.
SPATIAL DYNAMICS OF BUILT-UP LAND DEVELOPMENT BASED ON SLOPE GRADIENT IN TERNATE CITY, INDONESIA Rifai, Ahmat; Rakuasa, Heinrich
Jurnal Spasial Vol 11, No 2 (2024)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v11i2.9903

Abstract

Ternate City in North Maluku, Indonesia, is experiencing rapid population growth and residential land development, with diverse topography and slopes that affect the expansion of built-up land. This study analyzed the development of built-up land in 1995 and 2025 based on slope levels using Landsat imagery and Digital Elevation Model (DEM) data. Results showed that built-up land expanded rapidly in the 8-25% slope zone (increased by 96.8-372%) and the >25% zone (+206.5%), indicating development pressure that drove urbanization to topographically challenging areas. Green land conversion (903.78 ha less) also affected the environmental balance, while water bodies remained stable (67.58 ha). The dominance of steep slopes >40% (3,013.36 ha) is a major challenge to sustainable development. The findings emphasize the need for a spatial approach based on integrated geomorphological analysis, particularly landslide risk mitigation in steep slope zones, while meeting settlement needs. The research makes an important contribution to the development of sustainable development strategies in island cities characterized by complex topography and limited flat land while offering a spatial-temporal evaluation model that can be applied in similar areas. Policy implications of the research include strengthening spatial regulations, applying special construction techniques in slope areas, and protecting protected areas to maintain the balance of the natural environment.
POLA SPASIAL KONSUMSI ENERGI RUMAH TANGGA DI PULAU SUMATERA TAHUN 2020 Ningrum, Ratna Kusuma; Budiani, Sri Rahayu; Murti, Sigit Heru
Jurnal Spasial Vol 11, No 2 (2024)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v11i2.9904

Abstract

Sumatra Island is one of the largest islands in Indonesia and has a large population, but the distribution of population and utilization of energy resources is not evenly distributed. The purpose of this study is to examine the demographic, socio-economic, and physical factors of the region that affect household energy consumption on the island of Sumatra and their spatial patterns. The data used are the 2020 National Socio-Economic Survey (Susenas), Village Potential (Podes) 2018 and Podes 2020. The analysis used is the Geographically Weighted Regression (GWR) method, the Global Moran Index value and Local Indicators of Spatial Autocorrelation (LISA). The results showed that the demographic, socio-economic and physical factors of the area consisting of gender, age, employment status, education of the head of the household, household size, household income, access to modern energy, area of residence, regional topography and road accessibility affect household energy consumption on the island of Sumatra. The spatial pattern formed from household energy consumption on the island of Sumatra is a clustered pattern, so that the achievement of household energy consumption in one island is not evenly distributed, both in terms of the type of household energy used and the price obtained at the consumer level.
ANALISIS SPASIAL GENANGAN BANJIR MENGGUNAKAN CITRA SENTINEL-1 SYNTHETIC APERTURE RADAR (SAR) DI KABUPATEN INDRAMAYU Ramadhan, Zidan; Salma, Ghina Yusriyyah; Nulhakim, Diki Lukman; Ridwana, Riki; Aliyan, Silmi Afina
Jurnal Spasial Vol 11, No 2 (2024)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v11i2.9905

Abstract

Floods are one of the many disasters that often occur in Indonesia. Based on data released by BNPB (2017), approximately 31.3% of natural disasters that occur in Indonesia are floods. In general, floods also frequently occur in the administrative area of the Indramayu Regency. Indramayu, which is a coastal area and has topography with an average slope of 0-2%, certainly increases the potential for flood disasters. To help deal with the problem of frequent flooding, radar system remote sensing technology can be utilized to map flood inundation areas effectively. This research was conducted to help identify and map the location of flood inundation in Indramayu Regency using Sentinel-1 multi-temporal Synthetic Aperture Radar (SAR) imagery. Radar images are processed on the Google Earth Engine using the Backscatter algorithm method. The processing results show that an area of 87581.5 ha or 42.1% of the total area of Indramayu Regency has the potential and frequent occurrence of flooding.
POLA SPASIAL PETERNAKAN AYAM DI NAGARI MUNGKA KABUPATEN LIMA PULUH KOTA Sari, Windi Aprelia; Nefilinda, Nefilinda
Jurnal Spasial Vol 11, No 2 (2024)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v11i2.9907

Abstract

This research is motivated by the distribution pattern of chicken farming in Nagari Mungka. The aim of this study is to understand the distribution pattern of chicken farming in Nagari Mungka. This research is quantitative in nature. The types of data used are primary and secondary data. Data collection techniques include observation, questionnaires, and documentation. The data analysis techniques employed are Nearest Neighbour Analysis and descriptive analysis. The results of the study on the distribution pattern of chicken farming using the Nearest Neighbour Ratio indicate a value of 0.677623, which suggests a clustered distribution.

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