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Sistem Informasi Geografis Pemetaan Banjir di Provinsi Jawa Tengah Tahun 2019-2021 Subhan, Ahmad; Bambang Agus Herlambang; Ahmad Khoirul Anam
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.718

Flooding is one of the most recurrent natural disasters in Central Java Province, particularly during the rainy season. Diverse geographical characteristics, high rainfall intensity, and rapid urban development contribute to the region’s high vulnerability to flood hazards. According to the Central Java Statistics Agency, a total of 414 flood events and 407,784 affected victims were recorded between 2019 and 2021. This study aims to develop a web-based Geographic Information System (GIS) capable of mapping the spatial distribution and impact levels of floods across Central Java. The methodology includes collecting flood event data from the Central Java Statistics Agency, processing spatial data such as administrative boundary shapefiles, performing attribute integration between spatial and non-spatial datasets, and creating thematic maps using QGIS. The visualization outputs were exported into an interactive web format using the qgis2web plugin and subsequently integrated into a website developed with HTML, CSS, and JavaScript. The results show that the GIS system successfully visualizes flood-prone areas, identifies regions with high flood intensity, and enables users to explore detailed information through interactive digital maps. Additional website features—such as historical flood data, statistical summaries, and descriptive impact indicators—enhance the system's usefulness for disaster analysis. This study demonstrates the crucial role of GIS in supporting disaster mitigation, spatial planning, and policy evaluation related to flood management. Future research is recommended to incorporate more recent datasets and additional non-spatial variables such as rainfall intensity and floodwater depth to improve the system’s analytical accuracy and comprehensiveness.

Sistem Informasi Geografis (SIG) Persebaran Penduduk Kabupaten Demak Tahun 2025 Berbasis WebGIS David Rian Prabowo; Bambang Agus Herlambang; Ahmad Khoirul Anam
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.727

This study aims to design and build a population distribution application in Demak Regency in 2025 using a Geographic Information System (GIS) approach. The study focuses on three main variables: population, population density, and population growth rate per sub-district. The author used the research method of collecting data and references that can later strengthen the results of this study and the application design using the waterfall model. Non-spatial data, namely data in the form of population information, was obtained from the Central Statistics Agency of Demak Regency, while spatial data is data related to regional administrative boundaries. Data processing was carried out using QGIS 2.18 through the stages of joining attributes, classification using the Natural Breaks (Jenks) method, and thematic map creation. The results show that population distribution is uneven. Demak Kota, Karangtengah, and Sayung sub-districts have the highest number and density, while coastal sub-districts such as Wedung and Bonang have low densities. The highest population growth rate is in Karangtengah sub-district at 0.8%. The application of GIS has proven effective in visualizing population distribution and supporting spatial-based regional development planning.

Sistem Informasi Geografis Pemetaan Banjir di Provinsi Jawa Tengah Tahun 2019-2021 Subhan, Ahmad; Bambang Agus Herlambang; Ahmad Khoirul Anam
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.718

Flooding is one of the most recurrent natural disasters in Central Java Province, particularly during the rainy season. Diverse geographical characteristics, high rainfall intensity, and rapid urban development contribute to the region’s high vulnerability to flood hazards. According to the Central Java Statistics Agency, a total of 414 flood events and 407,784 affected victims were recorded between 2019 and 2021. This study aims to develop a web-based Geographic Information System (GIS) capable of mapping the spatial distribution and impact levels of floods across Central Java. The methodology includes collecting flood event data from the Central Java Statistics Agency, processing spatial data such as administrative boundary shapefiles, performing attribute integration between spatial and non-spatial datasets, and creating thematic maps using QGIS. The visualization outputs were exported into an interactive web format using the qgis2web plugin and subsequently integrated into a website developed with HTML, CSS, and JavaScript. The results show that the GIS system successfully visualizes flood-prone areas, identifies regions with high flood intensity, and enables users to explore detailed information through interactive digital maps. Additional website features—such as historical flood data, statistical summaries, and descriptive impact indicators—enhance the system's usefulness for disaster analysis. This study demonstrates the crucial role of GIS in supporting disaster mitigation, spatial planning, and policy evaluation related to flood management. Future research is recommended to incorporate more recent datasets and additional non-spatial variables such as rainfall intensity and floodwater depth to improve the system’s analytical accuracy and comprehensiveness.

Sistem Informasi Geografis (SIG) Persebaran Penduduk Kabupaten Demak Tahun 2025 Berbasis WebGIS David Rian Prabowo; Bambang Agus Herlambang; Ahmad Khoirul Anam
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 4 (2025): Desember : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i4.727

This study aims to design and build a population distribution application in Demak Regency in 2025 using a Geographic Information System (GIS) approach. The study focuses on three main variables: population, population density, and population growth rate per sub-district. The author used the research method of collecting data and references that can later strengthen the results of this study and the application design using the waterfall model. Non-spatial data, namely data in the form of population information, was obtained from the Central Statistics Agency of Demak Regency, while spatial data is data related to regional administrative boundaries. Data processing was carried out using QGIS 2.18 through the stages of joining attributes, classification using the Natural Breaks (Jenks) method, and thematic map creation. The results show that population distribution is uneven. Demak Kota, Karangtengah, and Sayung sub-districts have the highest number and density, while coastal sub-districts such as Wedung and Bonang have low densities. The highest population growth rate is in Karangtengah sub-district at 0.8%. The application of GIS has proven effective in visualizing population distribution and supporting spatial-based regional development planning.

Sistem Informasi Geografis Pemetaan Pondok Pesantren Di Kabupaten Kendal Tahun 2023-2024 Hanum Nahla Zahrani; 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.v4i1.8109

Islamic boarding schools (pesantren) are one of the rapidly growing Islamic educational institutions in Kendal Regency. This study aims to analyze how Islamic boarding schools are distributed in Kendal Regency from 2023 to 2024 using a Geographic Information System (GIS). This study uses a comparative descriptive method with data consisting of spatial data in the form of sub-district administrative maps and non-spatial data covering the number of Islamic boarding schools, students, and teachers. The non-spatial data comes from the Central Statistics Agency (BPS) of Kendal Regency. To process the data, the QGIS application is used. Spatial and non-spatial data are combined in the attribute merging process, then converted into a thematic map. The results show a decrease in the number of Islamic boarding schools from 147 in 2023 to 118 in 2024, as well as an uneven decrease in the number of students and teachers in each sub-district. The resulting thematic map is able to clearly and informatively show differences in the distribution of Islamic boarding schools.

Pemetaan Puskesmas dan Tenaga Kesehatan di Kabupaten Kendal Menggunakan SIG Tahun 2024 Najwa Mahdewi Syahita; 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.v4i1.8113

The distribution of health facilities and personnel is crucial for ensuring equitable access and quality of public health services. The objective of this study is to analyze the distribution of community health centers (Puskesmas) and health personnel in Kendal Regency in 2024 using a Geographic Information System (GIS). The approach used in this study is spatial descriptive, utilizing secondary data that includes spatial data on the location of community health centers and sub-district boundaries, as well as non-spatial data on the number of health personnel. The data analysis process was carried out using QGIS software, through the steps of processing, integrating spatial and non-spatial data, and presenting information in thematic map and WebGIS formats. The findings of this study indicate that the distribution of community health centers and health personnel in Kendal Regency is not evenly distributed among sub-districts. Nurses and midwives tend to be more well-dispersed, while doctors, pharmacists, and nutritionists are still concentrated in certain areas. The use of GIS has proven effective in presenting spatial information in a clear and comprehensive manner, which serves as a basis for planning for equitable distribution of health services.

Sistem Informasi Geografis Analisis Penggunaan Air Bersih dan Sebaran Kasus Stunting di Kabupaten Jepara Tahun 2023 Laras Wulansari; 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.v4i1.8117

This study examines the relationship between the number of people in an area, the distribution of clean water access, and the number of stunting cases in Jepara Regency in 2023. The method used is quantitative descriptive using the Geographic Information System and data from the Jepara Regency Central Statistics Agency in 2024 and the Indonesian One Data Portal from the Ministry of National Development Planning/Bappenas in 2023. The analysis was carried out by creating a thematic map divided into low, medium, and high categories. The results of the study showed 1482 cases of stunting in children under five. Jepara District is recorded as having the largest population of 3184 people per km² with good access to clean water of 18665 customers and as much as 306165 m³, but stunting cases there are relatively low where as many as 51 cases were found. Meanwhile, Keling District, with a small population of 562 people per km² and limited access to clean water, with 503 customers and 7667 m³ of clean water distributed, had the highest number of stunting cases, at 265. Karimunjawa District, an archipelago with low population density and water access, also recorded moderate stunting cases, with 27 cases. This analysis concludes that population size does not always correlate with stunting rates. Conversely, adequate access to clean water significantly reduces the risk of stunting. Furthermore, the use of Geographic Information Systems has proven effective in identifying inequalities between districts. This can assist in planning stunting prevention measures in coastal areas of Jepara.

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

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

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

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.

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