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INDONESIA
Spatial : Wahana Komunikasi dan Informasi Geografi
ISSN : 16931408     EISSN : 25809830     DOI : -
Core Subject : Science,
Jurnal SPATIAL Wahana Komunikasi dan Informasi terbit dua kali dalam setahun, bulan Maret dan September.
Arjuna Subject : -
Articles 192 Documents
Studi Studi Kesiapan Sekolah Menengah Atas di Kota Samarinda dalam Mendukung Implementasi Satuan Pendidikan Aman Bencana (SPAB) Verayatun Hasanah; Aisyah Trees Sandy; Juwari; Najma Nur Mawaddah; Hamzah Umar
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 26 No. 1 (2026): SPATIAL: Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.261.001

Abstract

Kesiapan dalam pelaksanaan mitigasi bencana di sekolah sangat diperlukan sebagai upaya preventif dan mengurangi risiko bencana yang mungkin terjadi di lingkungan sekolah. Bencana dapat menimbulkan kerugian yang tidak sedikit, baik dari segi materi maupun dampak psikologis. Penelitian ini bertujuan untuk mengkaji kesiapan Sekolah Menengah Atas di Kota Samarinda dalam mendukung pelaksanaan Satuan Pendidikan Aman Bencana (SPAB). Hasil penelitian ini menunjukkan rata-rata skor penilaian diri berdasarkan tiga pilar Program Sekolah Aman Bencana (SPAB): Pilar 1 (Sarana Sekolah Aman) memperoleh skor rata-rata 8 dari 10 poin (67%); Pilar 2 (Manajemen Sekolah) memperoleh skor rata-rata 1 dari 5 poin (8%); dan Pilar 3 (Pendidikan Pengurangan Risiko Bencana/DRRE) memperoleh skor rata-rata 3 dari 6 poin (25%). Hasil penilaian diri secara keseluruhan di ketiga pilar mencapai rata-rata 11 dari 21 poin. Temuan ini menunjukkan bahwa 8 Sekolah Menengah Atas Negeri di Kota Samarinda masih belum siap secara memadai untuk melaksanakan program SPAB, terutama karena masih adanya kekurangan pada Pilar 2 (Penanggulangan Bencana) dan Pilar 3 (Pendidikan Pengurangan Risiko Bencana).
Analisis Potensi Sektor Unggulan dan Pemetaan Kemiskinan di Kawasan Mebidang, Sumatra Utara: Indonesia Siska Marbun; Muhammad Farouq Ghazali Matondang
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 26 No. 1 (2026): SPATIAL: Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.261.005

Abstract

This study aims to identify leading sectors, analyze poverty conditions, and explain the relationship between the potential of leading sectors and poverty levels in the Mebidang area. The research method uses Location Quotient (LQ) analysis to determine the base sector, classify leading sectors into labor-intensive and capital-intensive categories, and comparative descriptive analysis to link regional economic structure with poverty variations. The poverty indicators used are the Headcount Index (P0), Poverty Gap Index (P1), and Poverty Severity Index (P2) based on data from the Central Statistics Agency (BPS). The results show that Medan City is dominated by capital-intensive sectors such as finance, real estate, and corporate services, while Binjai and Deli Serdang are more supported by labor-intensive sectors such as trade, transportation, construction, and educational services. Further analysis shows that labor-intensive sectors contribute more to poverty reduction through labor absorption, while capital-intensive sectors drive economic growth but have less significant impact on reducing the number of poor people. Thus, the development strategy of the Mebidang area needs to be directed at strengthening labor-intensive sectors without ignoring the role of capital-intensive sectors so that economic growth is inclusive and effective in reducing poverty.
Analisis Perubahan Tutupan Lahan di Wilayah Bahaya Kebakaran Hutan dan Lahan Kabupaten Kubu Raya Tahun 2019–2023 Annisya Tadzkiah Vidiarini; Like Indrawati
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 25 No. 2 (2025): SPATIAL: Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.252.003

Abstract

Forest and land fires are a frequent disaster during the dry season in Kubu Raya Regency, caused by a combination of natural factors and human activities. Analysis of land cover changes in hazard areas is important to determine the dynamics that contribute to the increase in fire hazard. This study aims to: (1) map the spatial distribution of forest and land fire hazard areas, (2) analyze land cover changes in hazard areas, and (3) visualize the results using ArcGIS Dashboard. The forest and land fire hazard map generated through a weighted overlay of three parameters: land cover, soil type, and rainfall. Land cover was classified from Sentinel-2 imagery using the Random Forest algorithm, rainfall from kriging interpolation of CHIRPS data, and reclassified soil type. Land cover changes were obtained by detecting changes between 2019 and 2023, then overlaying with the forest and land fire hazard map. The results show that Kubu Raya Regency is dominated by moderate hazards covering an area of ​​431,743.79 ha, with an increase in land cover that influences the high hazard class being in shrubs of 58,619.01 ha and dry fields of 20,074.09 ha. The analysis results are presented in the ArcGIS Dashboard as a monitoring tool to support forest and land fire mitigation through maps, graphs, and indicators.
Komparasi Model Deep Learning U-Net dan SAM-LoRA untuk Deteksi Bidang Sawah Citra Resolusi Tinggi Desa Poncosari Kabupaten Bantul Tahun 2023 Menggunakan ArcGIS Anissa Sephia Wulandari; Karen Slamet Hardjo
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 25 No. 2 (2025): SPATIAL: Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.252.010

Abstract

The object of paddy field cover in Indonesia in high-resolution images is difficult to identify due to its unique characteristics and similarity to surrounding objects. This study aims to compare the performance of two Deep Learning architectures, UNet with ResNet34 backbone and SAMLoRA with ViT-B backbone, to perform segmentation using high-resolution images with accuracy down to the paddy field unit. Both models were trained using identical hyperparameters, with and without data augmentation, to evaluate accuracy and computational efficiency. The results show that SAMLoRA outperformed UNet across all evaluation metrics, achieving a higher mean Intersection over Union (mIoU) of 0.7909 compared to 0.7568. Although SAMLoRA required a longer training time, it produced clearer and more interpretable segmentations, capturing complex details more effectively. In conclusion, both Deep Learning models offer a much faster and more effective alternative to manual digitization for mapping paddy fields.
Pemanfaatan Citra Google Earth untuk Analisis Perubahan Garis Pantai dan Penggunaan Lahan Pesisir di Kabupaten Demak Rifqiya Luthfiyani; Adi Wibowo
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 25 No. 2 (2025): SPATIAL: Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.252.005

Abstract

This study examines changes in coastlines and land use in Demak Regency, Central Java, from 2015 to 2025, utilizing Google Earth imagery and GIS-based spatial analysis. Two locations, Sayung and Wedung, were selected to represent differences in human-related (anthropogenic) impact. The methods employed included visual interpretation of images at multiple time points and the application of the Spatial Consistency Index (SCI), a measure of the stability or invariance of the coastline's physical features over time. The results show that Sayung experienced significant erosion from 2015 to 2020 but was relatively stable after mangrove rehabilitation (SCI = 0.0198, indicating high stability), while Wedung showed extreme coastline retreat (regression) and degradation of aquaculture ponds (SCI = 0.00516, indicating low stability). This approach, based on freely available data, is effective for long-term monitoring of coastal areas where conventional satellite data is limited.
Pertumbuhan Ekonomi-Sosial Cakung–Kramat Jati: Sinergi, Tantangan, dan Kebijakan Muh. Yusuf; Wini Mustikarani; Ardyarana Farian Kashira; Arya Jalu Aji; Fatihah Salsabila; Rangga Trio Pamungkas; Nabilah Nurjihan
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 26 No. 1 (2026): SPATIAL: Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.261.009

Abstract

This study analyzes the economic-social synergy in Cakung and Kramat Jati, East Jakarta, from 2020 to 2025. The method employed is descriptive-analytical through a literature review (library research), processing secondary data from BPS, Bappeda, and previous academic journals. Findings indicate that economic growth in both areas is driven by the optimization of local revenue (PAD) and capital expenditure. Cakung excels in industrial recovery and HDI improvement, while Kramat Jati faces structural vulnerabilities due to urbanization and disaster risks. Although economic growth reduces unemployment, income inequality and social segregation challenges persist. It is concluded that inclusive policies are needed that combine environmental risk mitigation with strengthening social capital to ensure sustainable development.
the Kajian Kerentanan Sosial terhadap Bencana Banjir Lahar di Desa Linggajati, Tasikmalaya, Jawa Barat Winarno; Ayu Karina Juliani; Junistya Gita Cahyani; Febby Andini; Nurcholish Satrio Pratomo
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 26 No. 1 (2026): SPATIAL: Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.261.006

Abstract

This study aims to assess the level of social vulnerability to disasters in Linggajati Village, which is located within the Pacific Ring of Fire—one of the regions with the highest disaster risk in the world due to intense tectonic activity. Indonesia’s geological conditions present not only the threat of earthquakes but also volcanic disasters that can significantly disrupt community life. In this context, the village demonstrates high socio-economic vulnerability, requiring an in-depth analysis to identify potential material and human-related damages in the event of a disaster. This research adopts a quantitative approach by analyzing several key parameters, including population density, gender ratio, poverty rate, disability ratio, and the proportion of vulnerable age groups. The social vulnerability index is calculated by assigning a 60% weight to population density and 10% to each of the other parameters. The data used comes from the 2023 Linggajati Village monograph, which includes information on population size, poverty levels, age group distribution, and disability characteristics. The results of this study are expected to provide a comprehensive overview of disaster risks and serve as a strategic foundation for enhancing local-level disaster response and mitigation capacity.
Analisis Spasial Distribusi Program Makan Bergizi Gratis di Kota Bandung dengan Sistem Informasi Geografis Aulia Dwi Rahma; Dinda Alisa Sopiana; Muhamad Hoer Nurodin; Muhammad Akhdan Putra Prasetyo; Nazhira Mahagiena Senjaya; Lili Somantri; Alnidi Bratanegara
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 25 No. 2 (2025): SPATIAL: Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.252.002

Abstract

This study aims to analyze the suitability of the distribution distances for the Free Nutritious Meals Program (MBG) from the kitchens of the Nutrition Service Units (SPPG) to schools in the city of Bandung based on government technical regulations, as well as to identify the spatial efficiency of distribution. The methods used include collecting data on the locations of SPPGs and schools via Google Maps scraping, as well as analysis using Geographic Information Systems (GIS) with network analysis methods. The distances tested were a 6 km reach radius and distance between the kitchen and the school. This analysis is important to ensure that food distribution remains safe for consumption and efficient in order to support sustainable human resource development.
Determinan Kekurangan Energi Kronis pada Ibu Hamil di Jawa Tengah Menggunakan Geographically Weighted Regression Anik Djuraidah; Rahma Anisa; Zamrah Mutmainah; Muhammad Rafif Danuja; Afiq Dzakwan Anastia; Aurissa Putri Hawin Yusima; Farah Annisa Mahmud; Nida Khairunnissa; Fazila Alya Dilta Hareera
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 25 No. 2 (2025): SPATIAL: Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.252.004

Abstract

Chronic Energy Deficiency (CED) among pregnant women remains a significant public health issue, especially in Central Java, Indonesia, where the prevalence is notably higher than the national average. This study aims to identify the local determinants of the high incidence of CED using Geographically Weighted Regression (GWR), a spatial regression approach that accounts for spatial heterogeneity in the relationships between variables. The research uses secondary data from the 2023 Village Development Index (IDI) to examine social and health indicators across Central Java. The findings highlight that access to adequate sanitation plays a significant role in CED incidence, with limited access to sanitation a key risk factor across all regions. This study provides valuable insights into the spatial variability of CED determinants, underscoring the need for targeted interventions that account for regional characteristics to reduce CED risks among pregnant women.
Peran Industri Tambang Nikel Sulawesi dalam Globalisasi Industri Kendaraan Listrik Dunia Nurul Habibah; Pudja Septia Heryana; Fikri Faturahman Syarif; Rani Nuraeni; Setio Galih Marlyono
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 26 No. 1 (2026): SPATIAL: Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.261.004

Abstract

This article analyzes the role of the nickel mining industry in Sulawesi within the globalization of the electric vehicle (EV) industry. The rapid growth of the global EV market has significantly increased demand for critical minerals, particularly nickel as a key component in lithium-ion batteries. Indonesia, as the world’s leading nickel producer, has become strategically positioned within the global value chain of the EV industry. Using a qualitative descriptive approach and literature review method, this study examines the relationship between global EV expansion, Indonesia’s nickel production growth, and the spatial concentration of mining and processing activities in Sulawesi. The findings indicate that Sulawesi plays a crucial role as an upstream supplier in the global production network. However, despite Indonesia’s dominance in nickel production, higher value-added activities remain concentrated in countries that control battery technology and advanced manufacturing. The study concludes that Indonesia’s integration into the global EV industry presents both opportunities for industrial upgrading and challenges related to technological dependence and global value chain hierarchy. Strengthening domestic processing capacity and sustainable resource governance is essential to enhance long-term national competitiveness

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