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SITEM INFORMASI GEOGRAFIS SEBARAN PELANGGAN PERUSAHAAN DAERAH AIR MINUM (PDAM) DI KABUPATEN JEPARA TAHUN 2020 & 2021 Muhammad Vendi Nur Rohim; Bambang Agus Herlambang; Ahmad Khoirul Anam
HUMANITIS: Jurnal Homaniora, Sosial dan Bisnis Vol. 2 No. 1 (2024): Januari
Publisher : ADISAM PUBLISHER

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Water is one of the building blocks of the human body. With a percentage of around 70% in the human body, water is important for survival. Humans use water in everyday life for various purposes such as washing, cooking, drinking water, bathing and others. The water usually used is ground water. However, not all groundwater houses have good quality for drinking or cooking water. Knowing this problem, the central government, through regional governments, established regional drinking water companies (PDAM) in each region to provide drinking water that is clean, healthy and meets health requirements for the community, which is also a form of service provided by the government to the community. This PDAM is considered not to have reached all regions so a system is needed that is able to provide data quickly. The rapid development of information technology in the current era of globalization provides many benefits in progress, one of which is geographic information. The Quantum GIS application can be used to create, edit, visualize, analyze, and process geospatial information. Quantum GIS can visualize spatial data and non-spatial data involved in this research. The aims and objectives of this research are to design and build a program that makes it easier for various parties such as the community and government to facilitate data management by utilizing geographic information systems in mapping regional drinking water company (PDAM) customers.

STUDI KETENAGAKERJAAN JAWA TENGAH : ANALISIS DATA BADAN PUSAT STATISTIK AGUSTUS 2021 – AGUSTUS 2023 Arif Firmansyah; Bambang Agus Herlambang; Ahmad Khoirul Anam
HUMANITIS: Jurnal Homaniora, Sosial dan Bisnis Vol. 2 No. 2 (2024): Februari
Publisher : ADISAM PUBLISHER

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Employment is one of the main concerns of the Central Java Provincial Government. The aim of this research is to determine employment conditions in Central Java using several indicators. The research results show that although Central Java's TPAK has increased from year to year, the difference between men's and women's TPAK is still large. TPT for men is higher than TPT for women, and urban TPT is higher than rural TPT. The TPT for Vocational High School (SMK) graduates is always the highest, compared to the TPT for graduates of other levels of education. Based on main employment status, the working population can be categorized into formal and informal activities. Residents who work in formal activities include those who work with the help of permanent workers and workers/employees/employees, while the rest are categorized as informal activities (self-employed, businesses assisted by temporary workers/unpaid workers, casual workers, and family/unpaid workers ).

Visualisasi Dan Analisis Perubahan Tingkat Kemiskinan Kabupaten/Kota Jawa Tengah 2021–2025 Berbasis WEB Adam Alfareza; Bambang Agus Herlambang; Ahmad Khoirul Anam
Jurnal Adijaya Multidisplin Vol 3 No 06 (2026): Jurnal Adijaya Multidisiplin (JAM)
Publisher : PT Naureen Digital Education

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Kemiskinan merupakan permasalahan sosial yang masih menjadi perhatian dalam pembangunan daerah, khususnya di Provinsi Jawa Tengah yang memiliki kondisi sosial ekonomi dan karakteristik wilayah yang beragam. Penelitian ini bertujuan untuk memvisualisasikan dan menganalisis perubahan tingkat kemiskinan kabupaten/kota di Provinsi Jawa Tengah pada periode 2021–2025 berbasis Web Geographic Information System (Web GIS). Data penelitian bersumber dari Badan Pusat Statistik (BPS) yang meliputi jumlah penduduk, jumlah penduduk miskin, persentase penduduk miskin, Tingkat Pengangguran Terbuka (TPT), dan Indeks Pembangunan Manusia (IPM). Data spasial berupa peta administrasi kabupaten/kota diolah menggunakan perangkat lunak QGIS dengan mengintegrasikan data atribut dan spasial untuk menghasilkan peta tematik tahunan. Peta kemudian diekspor menggunakan plugin qgis2web dan dikembangkan menjadi sebuah website yang menampilkan peta interaktif serta analisis perubahan tingkat kemiskinan. Hasil penelitian menunjukkan adanya perbedaan dan dinamika tingkat kemiskinan antar wilayah. Web GIS yang dihasilkan dapat dimanfaatkan sebagai media pendukung analisis dan pengambilan keputusan pembangunan daerah.

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 Riset Teknik Elektro 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 Riset Teknik Elektro 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 Riset Teknik Elektro 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 Riset Teknik Elektro 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.

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