SAHAJA: Development of a Cloud-Based WebGIS-Multi Criteria Decision Analysis for Agri-aquacultural Site Suitability in Central Java

Abstract

Central Java Province, Indonesia, is endowed with vast agri-aquacultural potential. However, harnessing the full benefits of spatially enabled technology for supporting integrated sustainable agriculture and covering wide areas remains a challenge. This research aims to bridge this gap by developing a cloud-based WebGIS platform “SAHAJA” which integrates Multi-Criteria Decision Analysis (MCDA) for assessing agricultural site suitability. The study utilizes the Google Earth Engine incorporating agricultural parameters such as SAVI, soil properties, rainfall, topography, and Land Surface Temperature as well as aquacultural parameters such as chlorophyl-a, Total Suspended Soil, and Sea Surface Temperature. The platform provides users with the option to select predefined values for assessing site suitability for various purposes such as sugarcane cultivation, tea plantation, and marine fishing. Additionally, it offers an intuitive chart, allowing users to gain valuable insights from the data. The developed WebGIS serves as a decision support tool for both communities and stakeholders involved in land use planning, agri-aquacultural investment, and sustainable practices, thereby supporting smart city initiatives. The urgency of this research stems from the significant agri-aquacultural potential in Central Java and the need to effectively utilize spatially enabled technology to enhance integrated and sustainable agri-aquaculture. By addressing the challenge of wide area coverage, this study contributes to advancing the adoption of spatial technology in agricultural decision-making processes, fostering the productivity and resilience of Central Java's agri-aquacultural sector.