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Land Suitability Evaluation by Integrating Multi-criteria Decision-Making (MCDM), Geographic Information System (GIS) Method, and Augmented Reality-GIS

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 238))

Abstract

The purpose of this study is to evaluate land suitability by integrating the multi-criteria decision-making (MCDM) with geographic information system (GIS) method. Augmented Reality-GIS is used to present the resulting land suitability map. This evaluation process using the physical land characteristics, such as climate, soil, and topography factors. The analytical hierarchy process (AHP) method generates weights for the thematic Layer. The weight is needed to overlay the thematic layer using the weighted overlay method. Based on the overlay results, the area study has the best suitability for cultivating onions, cabbage, and potatoes. This result means that these three commodities are well suited for planting in most agriculture areas in the Bandung regency. This study also designed a GIS application prototype using augmented reality. The aim is to make it easier for farmers to read the land suitability map produced. Based on the visual aspect, the AR map can provide better visualization. With AR-GIS is hoped the farmers’ understanding of the land suitability map can be increase. So that can reduce the risk of crop failure experienced by farmers.

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Correspondence to Hanhan Maulana .

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Maulana, H., Kanai, H. (2021). Land Suitability Evaluation by Integrating Multi-criteria Decision-Making (MCDM), Geographic Information System (GIS) Method, and Augmented Reality-GIS. In: Czarnowski, I., Howlett, R.J., Jain, L.C. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 238. Springer, Singapore. https://doi.org/10.1007/978-981-16-2765-1_26

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