Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Riset dan Pengabdian Interdisipliner
Alisya Kabanya
Program Studi Pendidikan Geografi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Negeri Gorontalo
Humanities Education Environmental Science Social Sciences Other

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

Found 1 Documents
Search

 1 
Prediksi Kesesuaian Lahan Untuk Tanaman Jagung Menggunakan Sistem Informasi Geografis (SIG) Di Kabupaten Bone Bolango Provinsi Gorontalo Alisya Kabanya; Nurfaika Nurfaika; Rakhmat Jaya Lahay
-
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jrpi.v3i3.39663

Abstract

Corn (Zea mays L.) is one of the strategic agricultural commodities in Indonesia. This study aims to predict the level of land suitability for corn cultivation using Geographic Information System (GIS) Technology in Bone Bolango Regency. A quantitative descriptive method was used through a spatial analysis approach in the form of overlay on five biophysical parameters: slope, elevation, precipitation, soil type, and land cover. The results of the analysis show that land suitability is divided into five classes. The Absolutely Unsuitable (N2) class dominates the study area covering 108,923 ha (58.23%), followed by the Unsuitable (N1) class covering 41,412 ha (22.13%) due to the limiting factors of steep slopes, high elevations, and forest areas. Meanwhile, potential areas include the Very Suitable (S1) class covering 13,433 ha (7.19%), Suitable (S2) class covering 10,065 ha (5.38%), and Marginally Suitable (S3) class covering 13,227 ha (7.07%). In conclusion, the effective use of GIS produces accurate spatial information to support corn agricultural development planning. 
Co-Authors Rakhmat Jaya Lahay