Sistem Informasi Geografis untuk Pemetaan dan Analisis Rumah Tidak Layak Huni di Kabupaten Banyuasin

Data collection for Uninhabitable Houses (RTLH) in Banyuasin Regency is currently conducted in a tabular format without spatial visualization, making it difficult to monitor the spatial distribution and habitability levels of the houses. This study aims to design, develop, and test a web-based Geographic Information System (GIS) that integrates house habitability assessment with its spatial distribution mapping. The system was developed using the Rational Unified Process (RUP) method on a client-server architecture integrating Laravel, PostgreSQL/PostGIS, GeoServer, and Leaflet. The assessment rules were derived from the government's habitability assessment guidelines: weighted scores of four aspects—construction durability, access to drinking water, access to sanitation, and floor area per capita—were averaged into a habitability percentage (0–100%), categorized into five statuses, and displayed on an interactive Web GIS map. Out of 146 field-surveyed houses verified within the system, 109 were classified as Moderately Habitable, 31 as Less Habitable, 4 as Nearly Habitable, and 2 as Uninhabitable. Black Box testing using the Equivalence Partitioning technique across five scenarios demonstrated that all outputs matched the expected results, including the consistency of the statuses with manual calculations. These results indicate functional suitability rather than the accuracy of the assessment model, positional precision, or system security. The limitations of this study include the scope of five purposively selected sub-districts and an assessment model that solely evaluates the physical condition of the houses.

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Publication Details

Journal
Jurnal Manajemen Informatika (JAMIKA)
Published
2026-11-11
DOI
https://doi.org/10.34010/jamika.v16i1.21288
Primary Topic
Geographic Information Systems Studies
Type
article
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article

Sistem Informasi Geografis untuk Pemetaan dan Analisis Rumah Tidak Layak Huni di Kabupaten Banyuasin

Nizar Rabbi Radliya, Julian Chandra Wibawa, Rauf Fauzan
Jurnal Manajemen Informatika (JAMIKA)
Geographic Information Systems Studies
article

Sistem Informasi Geografis untuk Pemetaan dan Analisis Rumah Tidak Layak Huni di Kabupaten Banyuasin

Nizar Rabbi Radliya, Julian Chandra Wibawa, Rauf Fauzan
article en

Abstract

Data collection for Uninhabitable Houses (RTLH) in Banyuasin Regency is currently conducted in a tabular format without spatial visualization, making it difficult to monitor the spatial distribution and habitability levels of the houses. This study aims to design, develop, and test a web-based Geographic Information System (GIS) that integrates house habitability assessment with its spatial distribution mapping. The system was developed using the Rational Unified Process (RUP) method on a client-server architecture integrating Laravel, PostgreSQL/PostGIS, GeoServer, and Leaflet. The assessment rules were derived from the government's habitability assessment guidelines: weighted scores of four aspects—construction durability, access to drinking water, access to sanitation, and floor area per capita—were averaged into a habitability percentage (0–100%), categorized into five statuses, and displayed on an interactive Web GIS map. Out of 146 field-surveyed houses verified within the system, 109 were classified as Moderately Habitable, 31 as Less Habitable, 4 as Nearly Habitable, and 2 as Uninhabitable. Black Box testing using the Equivalence Partitioning technique across five scenarios demonstrated that all outputs matched the expected results, including the consistency of the statuses with manual calculations. These results indicate functional suitability rather than the accuracy of the assessment model, positional precision, or system security. The limitations of this study include the scope of five purposively selected sub-districts and an assessment model that solely evaluates the physical condition of the houses.

Jurnal Manajemen Informatika (JAMIKA)Vol. 16(1)
Universitas Komputer Indonesia (ID)
Geographic Information Systems Studies
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