Penerapan Sistem Informasi Geografis untuk Optimalisasi Lahan Pertanian Berkelanjutan di Kabupaten Kupang

Kupang Regency in East Nusa Tenggara Province has great potential in the agricultural sector, but faces various challenges that can hinder sustainable productivity, such as declining soil quality, land degradation, and changes in rainfall patterns due to the impact of climate change. Therefore, sustainable agricultural land management is very important in maintaining regional food security and increasing agricultural production. This study aims to develop a web-based Geographic Information System (WebGis) that is capable of mapping agricultural land conditions in Kupang Regency. This system is designed to present spatial information on soil fertility levels, the existence of critical land, and the impact of climate variability on agricultural areas. In the process of land analysis and classification, the Self-Organizing Map(SOM) method is used, an unsupervised learning approach that is effective in grouping data based on certain characteristics. The mapping results are then integrated into the WebGis platform so that they can be accessed interactively and easily used by the Department of Agriculture or related policy makers. With this system, it is expected to assist in making more precise, efficient, and sustainable data-based decisions, especially in agricultural land planning and management. Overall, this research is expected to provide a real contribution in efforts to increase the efficiency of land use and encourage environmentally friendly agricultural practices in Kupang Regency.

Authors

Publication Details

Journal
JUMINTAL Jurnal Manajemen Informatika dan Bisnis Digital
Published
2025-05-20
DOI
https://doi.org/10.55123/jumintal.v4i1.5004
Primary Topic
Multimedia Learning Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Penerapan Sistem Informasi Geografis untuk Optimalisasi Lahan Pertanian Berkelanjutan di Kabupaten Kupang

Yampi R Kaesmetan, Vito Daniel Boboy
JUMINTAL Jurnal Manajemen Informatika dan Bisnis Digital
Multimedia Learning Systems
article

Penerapan Sistem Informasi Geografis untuk Optimalisasi Lahan Pertanian Berkelanjutan di Kabupaten Kupang

Yampi R Kaesmetan, Vito Daniel Boboy
article en

Abstract

Kupang Regency in East Nusa Tenggara Province has great potential in the agricultural sector, but faces various challenges that can hinder sustainable productivity, such as declining soil quality, land degradation, and changes in rainfall patterns due to the impact of climate change. Therefore, sustainable agricultural land management is very important in maintaining regional food security and increasing agricultural production. This study aims to develop a web-based Geographic Information System (WebGis) that is capable of mapping agricultural land conditions in Kupang Regency. This system is designed to present spatial information on soil fertility levels, the existence of critical land, and the impact of climate variability on agricultural areas. In the process of land analysis and classification, the Self-Organizing Map(SOM) method is used, an unsupervised learning approach that is effective in grouping data based on certain characteristics. The mapping results are then integrated into the WebGis platform so that they can be accessed interactively and easily used by the Department of Agriculture or related policy makers. With this system, it is expected to assist in making more precise, efficient, and sustainable data-based decisions, especially in agricultural land planning and management. Overall, this research is expected to provide a real contribution in efforts to increase the efficiency of land use and encourage environmentally friendly agricultural practices in Kupang Regency.

JUMINTAL Jurnal Manajemen Informatika dan Bisnis DigitalVol. 4(1)
Openalex Percentile: Top 75%
Multimedia Learning Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Penerapan Sistem Informasi Geografis untuk Optimalisasi Lahan Pertanian Berkelanjutan di Kabupaten Kupang — Yampi R Kaesmetan, Vito Daniel Boboy · JUMINTAL Jurnal Manajemen Informatika dan Bisnis Digital (2025) | TGRS Research Map | TGRS