Integration of geographical information systems in the land suitability assessment for rice crops in Sleman District, Indonesia

Sukron Romadhona; Sri Puryono; Mussadun Mussadun

doi:10.36706/jlso.14.1.2025.728

Authors

Sukron Romadhona Environmental Science Doctoral Program, Postgraduate, Diponegoro University, Pleburan Campus, Semarang, Central Java 50275, Indonesia
Sri Puryono Postgraduate Program in Natural Resources and Environmental, Diponegoro University, Pleburan Campus, Semarang, Central Java 50275, Indonesia
Mussadun Mussadun Regional and City Planning, Faculty of Engineering, Diponegoro University, Tembalang Campus, Semarang, Central Java 50275, Indonesia

DOI:

https://doi.org/10.36706/jlso.14.1.2025.728

Keywords:

geography information system, land potential, land suitability, regional planning, rice plants

Abstract

Peatlands (according to the Governmental Regulation nr 71/2014) can be utilized for agriculture and plantation if the peat depths are less than 3 m or more than 3 m, peatlands have to be conserved or restored. Determining peat depths can be conducted in the fields by intensive surveys which were so expensive, inefficient, and ineffective, therefore it was essential to find our simple alternative methods how to measure peat depths easily. The research aimed to establish a spatially reliable interpolator for peat depth variability by utilizing the kriging method. The research was conducted in Seponjen Village, Kumpeh, Muaro Jambi, Jambi Indonesia. Primary data were processed by applying ArcGIS 10.3 software. The interpolated dataset of peat depths validated their actual dataset and performed an excellent relationship (indicated by a positive correlation coefficient, r = 0.920) and a coefficient of determination (R² = 0.847). It indicated that the interpolated dataset could be utilized to make maps by kriging. The very deep peat (Site A) and the deep peat (Site B) showed a tendency for a strong autocorrelation of the data distribution of peat depths. Autocorrelation tended to be anisotropic towards the river on the shallow peat (Site C). A good interpolator of peat depth variability can be generated using the kriging method.

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