Indonesia rice study prioritizes variety-origin traceability and standardized quality control

An integrated decision-support study of Indonesia’s rice value chain found that variety-origin traceability received the highest priority score, followed by standardized rice grading and quality-control protocols. The results come from a sequential mixed-method analysis combining interpretive structural modelling (ISM) with the Analytic Hierarchy Process (AHP), rather than from an intervention measuring changes in sustainability outcomes.

The study used a survey of 100 rice consumers in Makassar City, South Sulawesi, to identify and validate 13 preference attributes. These covered product-information cues, including packaging, brand and certification labels; intrinsic qualities, including rice variety, quality grade and sensory characteristics; accessibility factors, including place of purchase and proximity; and economic considerations, including price flexibility, price stability and perceived price–quality alignment. The researchers then selected 20 key informants from production, milling, distribution, retailing, certification, extension, policy and market-coordination roles.

ISM was used to model relationships among the 13 preference attributes. Experts assessed directional relationships through pairwise comparisons and discussion, and the resulting judgments were used to construct a structural self-interaction matrix, reachability matrix and MICMAC classification. This stage assessed each attribute’s driving power and dependence. The researchers then translated selected attributes into six operational strategies and used AHP to rank them against impact, feasibility, cost, time to impact, risk and scalability.

The MICMAC analysis classified packaging type and packaging brand as relatively strong drivers, while package size and certification labels were linkage elements. Variety origin and price stability were classified as dependent attributes. This means the analysis did not treat variety origin as an independent structural driver, although the authors considered it a visible outcome of upstream quality governance, varietal integrity, credible labeling and market communication.

AHP results ranked variety-origin traceability first, with a global weight of 0.4372, and standardized rice grading and quality-control protocols second, with a global weight of 0.2405. The remaining priorities, in descending order, were sensory-quality improvement, a certification roadmap, packaging-brand assurance, and availability and proximity optimization. The highest weights among the evaluation criteria were assigned to impact, feasibility and cost, followed by time to impact, risk and scalability.

The reported consistency ratio for the final harmonized AHP group matrix was 0.000. The authors cautioned that this value reflects mathematical consistency after expert judgments were reviewed and harmonized, not identical judgments from every expert or certainty about the real-world effectiveness of the strategies. Individual consistency ratios before harmonization were not retained in the main reporting table, according to the methods description, although the article states that they are reported in Supplementary Table S1.

Grading and quality control were interpreted as coordination mechanisms as well as technical procedures. The study noted that transparent grading can translate intrinsic attributes into standardized market signals, while post-harvest practices such as drying, milling, moisture control and storage affect grain integrity and sensory performance. Traceability, certification and labeling were likewise presented as collective governance arrangements involving farmers, millers, distributors, retailers, certification bodies and regulators, rather than as tools that improve the system when used by one actor alone.

The authors identified three practical priorities for Indonesia: piloting variety-origin traceability in selected rice-producing regions, strengthening grading and quality control at milling and distribution stages, and coordinating certification and labeling among producer groups, millers, retailers and local government agencies. They also proposed support for certified seed systems, varietal identification, farmer training, improved milling and storage infrastructure, and affordable traceability tools so that smallholders can participate in quality-based markets.

The study has several limitations. Its expert panel was purposively selected rather than statistically representative, the results are specific to Indonesia’s institutional and consumer context, and the structural model represents a static set of preference relationships rather than changing market conditions. The authors state that the framework should be used for designing pilots and not as evidence of measured sustainability benefits. They say further empirical validation is needed to determine whether traceability, grading and sensory improvements affect post-harvest losses, resource-use efficiency, farmer incentives, consumer willingness to pay and value distribution.

Subject of Research: Decision-support modelling of consumer preferences and value-chain upgrading in Indonesia’s rice sector

Article Title: Consumer driven governance for sustainable rice systems through traceability and quality upgrading in Indonesia

Article References: Astaman, P., Darma, R., Akzar, R., Kamarulzaman, N. H., Nishantha, B., Amir, A. A., Syam, S. H., Azkar, R., & Ardiansyah, M. F. P. (2026). Consumer driven governance for sustainable rice systems through traceability and quality upgrading in Indonesia. Discover Sustainability, 7(1), Article 1649. https://doi.org/10.1007/s43621-026-04279-2

Image Credits: AI Generated

DOI: 10.1007/s43621-026-04279-2

Keywords: Indonesia, rice value chains, consumer preferences, traceability, quality control, interpretive structural modelling, Analytic Hierarchy Process, food governance, decision support, Consumer, driven, governance