The product developed is a spatial database designed to tabulate and present various spatial information related to multiple variables for identifying potential locations to utilize solar panel technology. This spatial database is built using a geographic information system (GIS) approach, leveraging tools such as ArcGIS or QGIS.

The database covers three key regions on Java Island: Purworejo Regency in Central Java Province, and Pasuruan and Banyuwangi Regencies in East Java Province. These locations were selected based on their potential for utilizing solar panel technology in aeration systems for fish ponds. This initiative is supported by Crustea, a business unit pioneering the development of AIoT-based Eco-Friendly Aeration Technology Innovation in Aquaculture. This spatial database not only serves as a tool for optimizing solar panel deployment but also offers significant value for researchers, policymakers, and industry practitioners in sustainable aquaculture and renewable energy utilization.

The development process of this spatial database was presented by its lead developer, Dr. Dyah Lestari Widaningrum, ST, MT, at The 8th International Conference on Eco Engineering Development (ICEED) in Semarang on November 6, 2024. The conference’s overarching theme, “Innovative Eco Engineering Solutions for a Sustainable Global Environment,” provided an ideal platform to showcase this innovative work.

Simultaneously, Nico Chainando, a Binusian 2026 Industrial Engineering student, displayed the same material in poster format and engaged with audience inquiries during the USAID delegation visit to the Maker Innovation Space (MIS) lab. Nico, a research assistant and a member of the Industrial Engineering team, actively contributes to the EPICS Program—a collaborative initiative with the Faculty of Engineering at Arizona State University. The primary goal of this project is to enhance energy efficiency and sustainability in agricultural and aquaculture communities.

This multi-disciplinary collaboration underscores the database's potential impact in advancing renewable energy solutions and sustainable development within the aquaculture sector.

This spatial database provides critical insights into optimal locations for deploying solar panel technology in aquaculture, enabling technology providers to strategically target areas with the highest potential impact. By identifying regions where solar-powered aeration systems can improve energy efficiency and sustainability, this tool supports communities in expanding their reach, optimizing resource allocation, and driving innovation in eco-friendly aquaculture practices.

This spatial database is uniquely designed to integrate multi-variable spatial data with GIS tools, offering precise identification of optimal locations for solar panel technology in aquaculture. Unlike conventional approaches, it combines land-use analysis, geographic suitability, and renewable energy considerations, providing a tailored solution for sustainable fishpond aeration systems. Its application in diverse regions of Java showcases its adaptability and strategic value for advancing eco-friendly technologies.