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Peta Sebaran Luas Tanam Padi per Kecamatan di Kabupaten Pati Tahun 2024 Moh Zaenal Fanani; Bambang Agus Herlambang; Ahmad Khoirul Anam
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 1 (2026): Februari
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i1.8152

Abstract

Pati Regency in Central Java is one of the major contributors to rice production, where agricultural activities play an important role in supporting regional food security. This study aims to visualize the distribution of rice planting areas by sub-district in Pati Regency in 2024 using a Geographic Information System (GIS). The research method involved the collection and processing of spatial and non-spatial data, digitization of administrative boundary maps, and the creation of thematic maps using QGIS software. The results indicate that the thematic map provides a clearer, more effective, and informative visualization of rice planting area distribution patterns compared to conventional tabular data. This spatial visualization is expected to assist stakeholders and policymakers in analyzing agricultural conditions and supporting decision-making related to agricultural planning and land management in Pati Regency.
PEMETAAN SEBARAN PENERIMA PKH, KIS APBN, DAN JAMKESDA DI KABUPATEN KENDAL Latif Junia Angreani; Bambang Agus Herlambang; Ahmad Khoirul Anam
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 1 (2026): Februari
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i1.8162

Abstract

Social assistance programs play an important role in improving community welfare and reducing poverty levels. This study aims to map and visualize the distribution of beneficiaries of the Family Hope Program (PKH), Health Insurance funded by the State Budget (KIS APBN), and Regional Health Insurance (Jamkesda) by sub-district in Kendal Regency using a Geographic Information System (GIS). The research method involved the use of spatial data in the form of sub-district administrative boundaries and non-spatial data on the number of social assistance beneficiaries for the years 2023 and 2024. The analysis was carried out through map digitization, attribute data integration, and thematic map visualization using QGIS software. The results indicate significant differences in the number of social assistance beneficiaries among sub-districts, and the resulting maps can support local governments in determining priority areas for more targeted social assistance distribution.
Sistem Informasi Geografis Pemetaan UMR Pegawai dan Persebaran Industri Jawa Tengah Tahun 2023 Berbasis WebGIS Kikit Wahyuni; Bambang Agus Herlambang; Ahmad Khoirul Anam
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 1 (2026): Februari
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i1.8271

Abstract

The Regonal Minimum Wage (UMR) is a crucial indicator for assessing worker welfare and its determination is influenced by factors such s economic growth, inflation, and the need for a decent living. In Central Java Province, the industrial sector is a key economic pillar, yet differences in UMR values exist between districts/cities, leading to disparities in welfare. To address this, a Geographic Information System (GIS) is an effective solution, as it visualizes UMR data in the form of ineractive thematic maps that demonstrate distribution patterns and spatial relationships between regions. Through this mapping, the government, industry players, and the public can conduct more targeted analyses for economic and employment planning. In addition to its practical benefits, GIS use also provides educational value for students in understanding the application of geospastial technology to socio-economic issues. Overall, GIS-based UMR mapping in Central Java is expected to provide faster, more accurate, and more transparent information to various parties.
ANALISIS POLA DISTRIBUSI SPASIAL DAN AKSESIBILITAS WILAYAH ADMINISTRATIF MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (SIG) di kota tegal Rima Febryani; Bambang Agus Herlambang; Ahmad Khoirul Anam
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 1 (2026): Februari
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i1.8287

Abstract

This study aims to analyze the spatial distribution patterns of the population and the accessibility levels of administrative areas in Tegal City using a Geographic Information System (GIS). The method used is descriptive quantitative with secondary spasial and non-spatial data obtained from related agencies. Data were analyzed using QGIS software to produce maps of population spatial distribution and road network-based accessibility. The results show an uneven population distribution, with the highest concentration in Tegal Timur and Tegal Barat Districts. Accessibility analysis identified areas with high connectivity such as Slawi as regional centers, while areas such as Bumijawa and Bojong have lower accessibility. The use of GIS proves effective in presenting spatial information that can serve as a basis for spatial planning and infrastructure development in Tegal City.
Analisis Risiko Tsunami Berbasis GIS dan Kondisi Eksisting Pantai untuk Mitigasi Bencana di Kota Banda Aceh Laela Rustiani; Bambang Agus Herlambang; Ahmad Khoirul Anam
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.754

Abstract

Banda Aceh City has high vulnerability to tsunamis due to its coastal location directly facing the sea and being situated in an active tectonic zone. This study evaluates the spatial distribution of tsunami risk and assesses coastal conditions as disaster mitigation efforts using a mixed-method approach that combines quantitative analysis based on Geographic Information Systems (GIS) and qualitative analysis through field surveys and expert assessments. Three beaches were selected as study locations: Ulee Lheue Beach, Syiah Kuala Beach, and Alue Naga Beach, with risk assessment calculated using the formula Risk = (H × V) / C according to the BNPB framework and overlay techniques in GIS to create risk distribution maps. Coastal condition evaluation focused on coastal vegetation and protective coastal structures assessed using an ordinal scale of 1–5. Results show that Ulee Lheue Beach has the highest mitigation capacity with a score of 64.5% (good category), Syiah Kuala Beach reaches 57.5% (fairly good), while Alue Naga Beach has the lowest score of 28.3% (poor). Correlation analysis yielded a coefficient of r = 0.97, indicating a very strong positive relationship between coastal vegetation and protective coastal structures. Therefore, the study recommends strengthening mitigation strategies through improved protective infrastructure and optimization of coastal vegetation functions, particularly in high-risk areas, to reduce tsunami impacts in the future.
Analisis Persebaran Kasus Diare dan Tuberkulosis di Kabupaten Rembang Berbasis Sistem Informasi Geografis (SIG) Tahun 2023-2024 Naila Amelia Shahada; Bambang Agus Herlambang; Ahmad Khoirul Anam
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1356

Abstract

Diarrhea and Tuberculosis (TB) remain significant public health problems in Indonesia, including Rembang Regency. This study aims to analyze the spatial distribution and temporal changes of Diarrhea and TB cases in Rembang Regency during 2023–2024 using a Geographic Information Sistem (GIS) approach. A descriptive-analytic method was applied using secondary data, including administrative boundary shapefiles, disease case data, and health facility data at the sub-district level. Spatial processing and analysis were conducted using QGIS to produce thematic maps and compare disease distribution patterns between years. The results indicate that Diarrhea and TB cases were unevenly distributed across sub-districts and formed distinct spatial patterns. Case changes between 2023 and 2024 varied spatially, reflecting dynamic disease trends. The integration of disease maps with health facility distribution shows that areas with high case numbers were not always supported by adequate health facilities. The implementation of GIS-based maps into a web platform enhances accessibility and supports spatial-based public health decision-making.
Penerapan Sistem Informasi Geografis dalam Penentuan Jarak Zonasi Sekolah Menengah Pertama (SMP) dalam PPDB Melalui Jalur Zonasi/Domisili (Studi Kasus: Kota Semarang) Aurellia Callista Dewi; Bambang Agus Herlambang; Ahmad Khoirul Anam
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1359

Abstract

The implementation of the zoning-based admission policy (PPDB) in Semarang City continues to face challenges related to the accuracy of distance measurement and the transparency of information provided to the public. This study aims to examine the application of Geographic Information Systems (GIS) in defining zoning boundaries for public junior high schools in Semarang City and integrating the results into a web-based information platform. A quantitative descriptive approach was employed, incorporating spatial analysis through a 3-kilometer buffer radius using QGIS software. The results indicate that buffer analysis is effective in delineating priority domicile zones based on school coordinate data. These findings are integrated into a GIS-based website that presents visual information on school locations, enrollment capacity, and final score calculation mechanisms in accordance with current regulations. The proposed system contributes to improving information transparency, enabling the public to better understand admission opportunities while supporting government decision-making in promoting equitable access to education. For future development, the use of road network analysis is recommended to obtain more realistic distance estimations.
Analisis Perubahan Luas Lahan dan Produksi Bawang Merah Menggunakan Sistem Informasi Geografis di Kabupaten Brebes Tahun 2023-2024 Nida Hanifah; Bambang Agus Herlambang; Ahmad Khoirul Anam
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1360

Abstract

Brebes Regency is one of the main national centers of shallot production in Indonesia, where agricultural land dynamics play a crucial role in sustaining production performance. Rapid infrastructure development and land-use change have raised concerns regarding the sustainability of shallot cultivation areas. This study aims to analyze spatial–temporal changes in shallot cultivated area and production in Brebes Regency during 2023–2024 and to examine the relationship between land area changes and production levels at the sub-district scale. A descriptive quantitative approach based on spatial analysis was employed using Geographic Information Systems (GIS). Spatial data consisted of administrative boundary maps, while non-spatial data included shallot cultivated area and production data obtained from the Brebes Regency Office of Agriculture and Food Security. Data integration and analysis were conducted using QGIS through attribute joining and inter-annual comparison. The results indicate that total shallot cultivated area increased from 26,331 ha in 2023 to 28,628 ha in 2024, accompanied by a significant rise in production from 289,942.05 tons to 409,106.90 tons. Spatial analysis reveals that major production centers remain concentrated in the central and northern sub-districts, particularly Wanasari, Larangan, Bulakamba, and Tanjung. Although a positive relationship between land expansion and production increase is evident, variations among sub-districts suggest that productivity and local conditions also play important roles. The findings highlight the effectiveness of GIS-based analysis in supporting spatially informed agricultural land management and policy formulation.