Claim Missing Document
Check
Articles

Found 2 Documents
Search

Ecological Spatial Model of Maize (Zea Mays L.) In Wanggarasi Sub-District, Pohuwato Regency – Gorontalo Province, Indonesia Fitria S. Bagu; Zulzain Ilahude; Nurmi Hafid; Wawan Pembengo
International Journal of Technology and Education Research Vol. 3 No. 02 (2025): April - June, International Journal of Technology and Education Research (IJET
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i02.2002

Abstract

This research was conducted in Wanggarasi Sub-district, Pohuwato Regency, Gorontalo Province, specifically in Bohusami Village and Bukit Harapan Village. The objectives of this study were (1). To analyze the biophysical land conditions (land capability, land suitability, land carrying capacity, production), as well as the social conditions of the community, particularly population pressure, which can support a sustainable maize land-use system. (2). To develop an appropriate model for optimizing sustainable maize cultivation in Wanggarasi Sub-district, Pohuwato Regency, Gorontalo Province. The method used was land evaluation with a land unit approach. Sampling locations were determined using stratified random sampling, considering land units at the study sites—namely, slope, landform, and land use. The preparation of land capability maps, land suitability maps, and land optimization maps was carried out through interpretation of RBI maps, administrative maps, land unit maps, and LCLP analysis results. Meanwhile, maps of land carrying capacity, population pressure, and production were developed based on RBI maps, administrative maps, and secondary data. Data analysis was conducted using ecological spatial analysis with Geographic Information System (GIS) and supporting socio-economic data were analyzed descriptively. The research results showed that the study area is dominated by land with low optimization categories (R), expressed through the functional formula: OPT (R) = f (KL (III, IV) + KS (S3, N1) + DDL(R) + P(R) + TP(R)). The models and strategies for optimizing land in the low category (R) can be implemented through: (1) Identifying land units combining dry fields and rainfed areas that ensure the availability of land with high (T) or moderate (S) optimization categories, with a minimum area approximately equal to that of land units categorized as moderate or low in the sub-district. (2) Identifying land-use combinations that can yield production categorized as high (T) or moderate (S) land optimization by converting part of the coconut plantation area—particularly those needing replanting—into dryland maize cultivation. Additionally, seeking land-use combinations that ensure the availability of land areas with moderate optimization category (S), such as mixed gardens and dry fields.
Spatial Analysis of Land Carrying Capacity in Wanggarasi District, Pohuwato Regency Fitria S. Bagu; Zulzain Ilahude; Laode Muhamad Irsan
International Journal of Technology and Education Research Vol. 4 No. 01 (2026): International Journal of Technology and Education Research (IJETER)
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v4i01.2875

Abstract

Land use change and population growth are the main factors influencing the sustainability of land resource management, particularly in areas experiencing rapid development dynamics. This study aims to analyze the condition and changes in land carrying capacity in Wanggarasi Sub-district using a spatial and temporal analysis approach based on Geographic Information Systems (GIS). The research employs a descriptive quantitative method utilizing secondary data, including population data, land use data, and multi-temporal satellite imagery. The land carrying capacity index was calculated based on several indicators, namely the proportion of the farming population, the area of cultivated agricultural land, farmer involvement in non-agricultural activities, and the availability of land suitable for living. The results indicate that Wanggarasi Sub-district falls into the category of moderate land carrying capacity, with indications of imbalance between the high proportion of the farming population and the limited availability of productive agricultural land and land suitable for living. This condition reflects the presence of socio-ecological pressures that may increase the risk of land carrying capacity deficits if not accompanied by adaptive land management policies. Spatial analysis demonstrates that GIS is effective in identifying the spatial distribution and zoning of land carrying capacity in greater detail. This study is expected to serve as a basis for spatial planning and evidence-based policymaking to support sustainable regional development at the sub-district level.