Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Teknik Mesin, Industri, Elektro dan Informatika
Adisti Khairunnisa N
Universitas PGRI Semarang
Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Pemetaan Sebaran Tingkat Kemiskinan Berbasis Sistem Informasi Geografis di Provinsi Jawa Tengah Tahun 2023–2025 Adisti Khairunnisa N; Bambang Agus Herlambang; Ahmad Khoirul Anam
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 3 (2025): September: Jurnal Teknik Mesin, Industri, Elektro dan Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i3.5784

Abstract

Poverty remains a major socio-economic challenge in regional development, particularly in Central Java Province, Indonesia. Variations in geographic characteristics, economic structures, and development levels have led to significant disparities in poverty across districts and cities. Based on official data from the Central Bureau of Statistics (BPS) of Central Java, poverty conditions have shown dynamic changes during 2023–2025. This study aims to develop a web-based Geographic Information System (WebGIS) to map the spatial distribution of poverty levels at district and city administrative levels. The research involves collecting poverty data from BPS, processing spatial data using administrative boundary shapefiles, and performing attribute joins between spatial and non-spatial datasets. Thematic maps are created using QGIS and exported into an interactive web format through the qgis2web plugin, integrated into a WebGIS platform built with HTML, CSS, and JavaScript. The resulting WebGIS effectively visualizes spatial patterns and disparities of poverty across regions, allowing users to explore data by year and identify high-poverty areas for development prioritization. This research demonstrates the potential of WebGIS as an analytical and decision-support tool for regional planning, enabling policymakers to design more targeted and data-driven poverty alleviation strategies.
Co-Authors Ahmad Khoirul Anam Bambang Agus Herlambang, Bambang