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Landuse Changes Refer to Spatial Planning Regulations at Kelara Watershed Area: An Analysis Using Geospatial Information Technology Ramlan, Andi; Neswati, Risma; Baja, Sumbangan; Nathan, Muhammad
Forum Geografi Vol 29, No 1 (2015): Forum Geografi
Publisher : Forum Geografi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this study is to analyze land use changes in the Kelara watershed and to assess the suitability of current land use changes with the spatial planning regulation of Jeneponto within Kelara basin. This study integrates various survey techniques, remote sensing, and geographic information system technology analysis. Geospatial information used in this study consists of Landsat ETM 7+ satellite imagery (2009) and Landsat 8 (2014) as well as a number of spatial data based on vector data which is compiled by the Jeneponto Government. Remote sensing data using two time series (2009 and 2014) are analyzed by means of supervised classification and visual classification.  The analysis indicated that land use type for the paddy fields and forests (including mangroves) converted become a current land use which is inconsistent with the spatial planning regulation of Jeneponto.The use of land for settlement tends to increase through conversion of wetlands (rice fields). These conditions provide an insight that this condition will occur in the future, so that providing the direction of land use change can be better prepared and anticipated earlier.
Landuse Changes Refer to Spatial Planning Regulations at Kelara Watershed Area: An Analysis Using Geospatial Information Technology Ramlan, Andi; Neswati, Risma; Baja, Sumbangan; Nathan, Muhammad
Forum Geografi Vol 29, No 1 (2015): July 2015
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v29i1.795

Abstract

The purpose of this study is to analyze land use changes in the Kelara watershed and to assess the suitability of current land use changes with the spatial planning regulation of Jeneponto within Kelara basin. This study integrates various survey techniques, remote sensing, and geographic information system technology analysis. Geospatial information used in this study consists of Landsat ETM 7+ satellite imagery (2009) and Landsat 8 (2014) as well as a number of spatial data based on vector data which is compiled by the Jeneponto Government. Remote sensing data using two time series (2009 and 2014) are analyzed by means of supervised classification and visual classification.  The analysis indicated that land use type for the paddy fields and forests (including mangroves) converted become a current land use which is inconsistent with the spatial planning regulation of Jeneponto.The use of land for settlement tends to increase through conversion of wetlands (rice fields). These conditions provide an insight that this condition will occur in the future, so that providing the direction of land use change can be better prepared and anticipated earlier.
Landuse Changes Refer to Spatial Planning Regulations at Kelara Watershed Area: An Analysis Using Geospatial Information Technology Andi Ramlan; Risma Neswati; Sumbangan Baja; Muhammad Nathan
Forum Geografi Vol 29, No 1 (2015): July 2015
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v29i1.795

Abstract

The purpose of this study is to analyze land use changes in the Kelara watershed and to assess the suitability of current land use changes with the spatial planning regulation of Jeneponto within Kelara basin. This study integrates various survey techniques, remote sensing, and geographic information system technology analysis. Geospatial information used in this study consists of Landsat ETM 7+ satellite imagery (2009) and Landsat 8 (2014) as well as a number of spatial data based on vector data which is compiled by the Jeneponto Government. Remote sensing data using two time series (2009 and 2014) are analyzed by means of supervised classification and visual classification.  The analysis indicated that land use type for the paddy fields and forests (including mangroves) converted become a current land use which is inconsistent with the spatial planning regulation of Jeneponto.The use of land for settlement tends to increase through conversion of wetlands (rice fields). These conditions provide an insight that this condition will occur in the future, so that providing the direction of land use change can be better prepared and anticipated earlier.
Optimizing maize cultivation through Fuzzy AHP: Balancing land suitability, land use, and environmental sustainability Arif, Samsu; Baja, Sumbangan; Nurmiaty, Nurmiaty; Syamsuddin, Erfan; Syamsuddin, Syamsuddin
Journal of Degraded and Mining Lands Management Vol. 12 No. 4 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.124.8219

Abstract

This study optimized maize cultivation in Gowa Regency, South Sulawesi, Indonesia, a tropical region with diverse topography and environmental constraints, by integrating Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and spatial autocorrelation analysis to assess land suitability. Using a two-stage Fuzzy AHP, 12 criteria (e.g., slope, landslide risk, rainfall) were normalized via fuzzy membership functions and weighted through expert pairwise comparisons in a GIS framework, with spatial autocorrelation identifying clustering patterns. A 30-meter resolution dataset covering topographic, soil, climatic, land use, and environmental risk factors, prioritized slope, landslide risk, and rainfall, yielding a consistent model (CR = 0.0093). The suitability map classified 1.35% (2,445 ha) as highly suitable (S1), 18.1% (32,868 ha) as moderately suitable (S2), 49.1% as marginally suitable (S3), and 31.45% as unsuitable (N). Spatial autocorrelation (Moran’s I = 0.81, p = 0.001) revealed S1/S2 hotspots in the northern plains, ideal for maize expansion, and N coldspots in the eastern highlands, limited by steep slopes and landslide risks. Overlay analysis highlighted land-use conflicts, with moderately suitable land in settlements and unsuitable land in nature reserves, underscoring the need for integrated planning. The framework prioritizes low-risk S1/S2 hotspots for cultivation, restricts high-risk zones, and promotes sustainable practices like terracing and agroforestry for marginal lands. This replicable methodology offers policymakers and farmers actionable insights to enhance maize productivity while ensuring environmental resilience in tropical landscapes. Policymakers should enforce zoning to protect S1/S2 hotspots and subsidize sustainable practices.
Pemetaan Karbon Organik Tanah pada Beberapa Tutupan Lahan dan Kelas Lereng di Kecamatan Simbang Kabupaten Maros: Soil Organic Carbon Mapping in Several Land Cover and Slope Classes in Simbang District, Maros Regency Nuril Afni, Fify; Baja, Sumbangan; Jayadi, Muh.
Jurnal Ecosolum Vol. 14 No. 1 (2025): JUNI
Publisher : Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ecosolum.v14i1.28050

Abstract

It is estimated that hundreds of millions of tonnes of carbon stored in soil have been lost due to human activities, primarily through soil cultivation practices and land cover changes. The organic C content in the soil varies, depending on the climate, soil type, mineralogy, land cover and management. The existence of the C-organic distribution map can be a reference in dealing with existing problems, especially in the agricultural sector regarding soil fertility in the region. This study aims to determine the level of soil organic carbon in several types of land cover and slope classes to map the spatial distribution of soil organic carbon in several land covers and slope classes in Simbang District, Maros Regency. Soil sampling was carried out using a drill at a depth of 0-15 cm, for each point a sample was taken. Soil analysis includes c-organic, soil texture, soil color, and bulk density. Making maps of the distribution of soil organic carbon using ArcGIS spatial analysis with interpolation techniques. The highest soil C-organic content was obtained in secondary forest land cover with slopes of 0-8% (flat) with a bulk density value of 1.05 g/cm3 and a color of 7.5YR 3/3 dark brown. The lowest C-organic content was obtained in scrub land cover with a slope of 8-15%, namely 1.21% with a bulk density value of 1.50 g/cm3 and a color of 5YR 4/4 reddish brown. In addition, the soil texture results also showed that the highest clay fraction content was found in secondary forest land covers and slopes of 0-8%. Land cover and slope gradient affect the C-organic content. The highest C-organic content was obtained in secondary forest land cover with a flat slope with an area of 249.92 ha. While the lowest C-organic content was obtained in shrub land cover with a gentle slope with an area of 59.75 ha. The distribution of soil organic carbon content in Simbang District is dominated by the moderate category.