AHP-TOPSIS-Based Decision Support System(DSS) for Assessing The Salt Quality for Indonesian Salt e-Farming

Indonesian Salt e-farming involves using technology and digital platforms to enhance salt production in Indonesia. Research is crucial for identifying factors influencing e-commerce adoption, addressing environmental concerns, and improving the welfare of smallholder salt farmers. However, Indonesian salt e-farming faces crucial challenges like Chinese monopoly, fair prices, supply chain issues, climate uncertainty, and infrastructure issues. Social media marketing is preferred for online sales, while Indonesia’s salt import policy threatens a Blue Economy. Salt quality is crucial for food safety, industry sustainability, and economic growth. To address this, the Decision Support System(DSS) is essential for better assessing salt quality. Researchers face gaps in DSSs for assessing Salt Quality, including data availability, validation, integration, stakeholder engagement, and ethical considerations. Collaborating with experts can bridge these gaps and improve research effectiveness. Addressing these issues enhances comprehensiveness and applicability. This study aims to propose a decision support system for determining salt quality for Salt e-farming in Indonesia using the Combining Analytical Hierarchy Process(AHP)-TOPSIS(Technique For Others Reference by Similarity to Ideal Solution) or AHP-TOPSIS method. The AHP-TOPSIS method is crucial for e-Farming Garam Indonesia salt quality research, minimizing bias and reliability. This study used six criteria for determining the quality of salt, namely Crystal form, Salt level, Flavor and aroma, Rheology and texture properties, Cooking performance and Preservation, and five types of salt variants, namely Coarse Salt K1, Anekarasa Salt, People’s Salt A, People’s Salt B, and People’s Salt C. This research resulted in the best salt recommendation based on ranking order, namely Coarse Salt K1(0,533109), Anekarasa Salt(0,426178), People’s Salt C(0,395108), People’s Salt A(0,275807,) and People’s Salt B(0,246269). Research improves decision-making efficiency, integrates AHP-TOPSIS in salt e-farming, supports sustainable practices, and informs policy development.