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All Journal Lingua Cultura Sistemasi: Jurnal Sistem Informasi JIKO (Jurnal Informatika dan Komputer) JURNAL REKAYASA TEKNOLOGI INFORMASI PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi INTEK: Informatika dan Teknologi Informasi Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Bulletin of Computer Science Research Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Akademika ABDIMASTEK Jurnal Pengabdian kepada Masyarakat (DIASYA)
Wahju Tjahjo Saputro
Universitas Muhammadiyah Purworejo
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Journal : Bulletin of Computer Science Research

 1 
Analisis Spasial Keterjangkauan Jarak Layanan dan Pola Persebaran Lembaga Pendidikan Menggunakan Buffering dan Nearest Neighbor Analysis Lestari, Widya Ayu; Saputro, Wahju Tjahjo; Widihasaniputri, Hanifatus Sa’diyah
Bulletin of Computer Science Research Vol. 6 No. 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i2.1014

Abstract

Equitable access to religious educational services is strongly influenced by the spatial distribution and service coverage of educational institutions. However, the growth of educational facilities is not always accompanied by balanced spatial planning, which can lead to accessibility disparities. This study aims to analyze service accessibility and spatial distribution patterns of educational institutions in Tlogomulyo District, Temanggung Regency, using a Geographic Information System (GIS) based quantitative descriptive analysis approach. Service accessibility was assessed using buffer analysis with a 500-meter radius, referring to neighborhood-scale educational facility service standards outlined in SNI 03-1733-2004, representing a reasonable service distance within rural settlement contexts, while spatial distribution patterns were examined using Nearest Neighbor Analysis (NNA) implemented in QGIS. The results indicate that most residential areas are within the service coverage of educational institutions, although several locations remain underserved. The NNA index value of 0.93 with a z-score of ?0.79 at a significance level of ? = 0.05 suggests a weak clustered distribution pattern that is not statistically significant at the 95% confidence level. These findings indicate that the spatial distribution of educational institutions tends to follow settlement patterns but has not yet achieved spatial equity. This study highlights the importance of GIS-based spatial analysis as a decision-support tool for planning and optimizing the distribution of religious educational services to promote equitable access within the study area.
Analisis Klasterisasi Wilayah Berdasarkan Tingkat Kepadatan Penduduk Menggunakan Algoritma K-Means Berbasis Sistem Informasi Geografis Athallah, Mustafa Iffat Shafi; Saputro, Wahju Tjahjo; Pasa, Ike Yunia
Bulletin of Computer Science Research Vol. 6 No. 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i2.1015

Abstract

This study aims to analyze and map the population density of regencies and municipalities in Jawa Tengah using a spatial analysis approach based on Geographic Information Systems (GIS) and the K-Means clustering algorithm. The main issue addressed is the lack of systematically classified and informative population density mapping to support spatial analysis and regional decision-making. Secondary data were obtained from the Central Bureau of Statistics (BPS), including total population, population growth rate, population percentage, population density per square kilometer, and administrative boundary spatial data. Prior to clustering, all variables were normalized using the Min-Max scaling method to prevent bias caused by differences in variable ranges in Euclidean distance calculations. The research employed a quantitative descriptive method with K-Means (K=3) to classify regions into low, medium, and high population density clusters. The results indicate that out of 35 regencies/municipalities, 7 regions (20%) fall into the high-density cluster, 22 regions (62.86%) into the medium-density cluster, and 6 regions (17.14%) into the low-density cluster. The implementation of the clustering results into a thematic map using a color scheme of red (high), yellow (medium), and green (low) effectively visualizes spatial distribution patterns, thereby supporting data-driven regional planning and spatial-based policy formulation.
Analisis Prioritas Distribusi Pupuk Bersubsidi untuk Ketepatan Sasaran Menggunakan Skoring Berbasis Sistem Informasi Geografis Huwae, Hans Andriano Pradana; Saputro, Wahju Tjahjo; Murhadi, Murhadi
Bulletin of Computer Science Research Vol. 6 No. 2 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i2.1016

Abstract

The distribution of subsidized fertilizer plays an important role in supporting agricultural productivity; however, its implementation at the regional level still faces mismatches between allocation and actual land requirements. This study aims to determine the priority of subsidized fertilizer distribution for paddy agricultural land in Central Java Province using a scoring method based on Geographic Information Systems (GIS). The variables applied in this study include harvested area, land productivity, and elevation. The data used are secondary data obtained from the Central Statistics Agency (BPS) for the period 2022–2024. The scoring process was conducted using Microsoft Excel with a five-level ordinal scale and equal weighting for each variable. The scoring results were then integrated with spatial analysis using QGIS to produce thematic maps of fertilizer distribution priorities. The results indicate that each regency in Central Java Province has a different priority level, which is classified into low, medium, and high priority categories. Out of 35 regencies/cities analyzed, 17 regions (48.57%) were classified as high priority, 11 regions (31.43%) as medium priority, and 7 regions (20%) as low priority. Validation results show that most high-priority areas also receive relatively large amounts of subsidized fertilizer, although some discrepancies remain due to policy considerations and regional characteristics. This study demonstrates that a GIS-based scoring method can be used as a supporting tool for planning and evaluating subsidized fertilizer distribution in a more objective and spatially informed manner.
Co-Authors Abdul Fadlil Achmad, Lukman Ade Davy Wiranata Arum Ratnaningsih Arum Ratnaningsih Athallah, Mustafa Iffat Shafi Aviani, Anggi Bambang Priyo Darminto Chirzah, Dewi Dimas Yunianto Herbowo Erni Seniwati Haidarrafiyan Perdanakusuma Hanifatus Sa’diyah Widihasaniputri Hermansah, Lutfi Hesti Wulan Sari Hidayatullah, Ridwan Huwae, Hans Andriano Pradana Ike Yunia Pasa Indra Ardiansyah Jayanti Putri Purwaningrum Jumasa, Hamid Muhammad Krisna Widatama Lestari, Widya Ayu Muchlas Muhammad Faisal Natsir Asrofi Murhadi Murhadi Murhadi Murhadi Murhadi Murinto Murinto Murinto Nia Ekawati, Nia Puspa Dewi Riawan Yudi Purwoko Risma Hardini Ruzaini, Hafidz Shofwan Hanief Singgih Arif Widodo Teguh Wibowo Tresnawati, Shandy Tusino Tusino Wahyu Miftakhul Huda Widiati, Wahyu Eka Widihasaniputri, Hanifatus Sa’diyah Wuri Setyowardani