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Journal : Compact: Spatial Development Journal

Pengembangan Teknologi GeoNode Sebagai Geoportal Tata Ruang di Kota Balikpapan Widyantoro, Bimo Aji; Pamungkas, Srirahadita
COMPACT: Spatial Development Journal Vol 3 No 2 (2024): COMPACT
Publisher : Perencanaan Wilayah dan Kota, Institut Teknologi Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/compact.v3i2.1291

Abstract

The implementation of Geographic Information System (GIS)-based technology in urban spatial planning is increasingly important in supporting the management and proper decision-making. Effective spatial planning requires access to accurate and easily accessible spatial data. GeoNode is an open source platform for spatial data management and sharing, which can provide effective solutions in supporting digital-based spatial information systems. This study aims to develop and implement GeoNode as a supporting tool in spatial management in Balikpapan City. The methods used include spatial data collection, GeoNode infrastructure development, and integrating data from various sources. The results of the study indicate that GeoNode can improve efficiency in accessing, visualizing, and creating spatial data. GeoNode can be a reliable geoportal in providing real-time access to more inclusive spatial data. The application of GeoNode technology as a medium for sharing and disseminating spatial data can be a model for the development of spatial information systems in Balikpapan City.
Pendekatan Estimasi Kebutuhan Rumah bagi Masyarakat Indonesia melalui Penerapan Matriks Siklus Hidup Adhar, Khairunnisa; Widyantoro, Bimo Aji
COMPACT: Spatial Development Journal Vol 4 No 1 (2025): COMPACT
Publisher : Perencanaan Wilayah dan Kota, Institut Teknologi Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/compact.v4i1.1311

Abstract

This study aims to estimate the gap between the number of available houses and the number needed by the community, often measured through the housing backlog. The housing backlog includes ownership backlog, which is the percentage of households that own their own homes; and occupancy backlog, which is the ideal condition where one house is occupied by one family. With the rapid population growth and urbanization in Indonesia, estimating housing needs becomes crucial to ensure the availability of adequate and decent housing for all segments of society. This research examines approaches that can be used to apply the Life Cycle Matrix (LCM), first introduced in Japan in the 1980s, to estimate housing needs based on changes in household life cycles, such as changes in household size and the age of the household head. The research method used is a quantitative approach with descriptive and analytical methods. The data used are secondary data, namely the Population Census Results from the Central Bureau of Statistics (BPS, formerly known as the Central Bureau of Statistics). The analysis stages include data availability verification and data cleaning. Then, housing backlog calculations are carried out, as well as the development of approaches that can be developed for Estimating Housing Needs for the Indonesian Community through the application of the Life Cycle Matrix.