Strategies for Improving Sustainable Rice Seed Supply Chain Performance in Indonesia: A Case Study in Bali Province
Description
The sustainability of the rice seed supply chain still needs to be improved to ensure the availability of rice seeds. To achieve food security (rice) cannot be separated from the availability of seeds. Data on sustainability attributes according to farmer groups, farmers implementing multiplication (cooperators), seed producers and key informants are used in analyzing the level of sustainability of the rice seed supply chain. Data were obtained through surveys and in-depth discussions with research objects. The tabulated data is continued by analyzing the data, then the results are found which are then juxtaposed with the criteria and results of previous research.
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The data used in this study are primary and secondary data. Primary data was obtained through interviews and field observations. Primary data includes: data related to preferences for VUB, partnerships, respondent characteristics, descriptive data on supply chain activities (qualitative and quantitative), data on the relationship between Key Performance Index (KPI) from ANP software, data on indicators of rice seed supply chain sustainability, data on the influence between sustainability variables. The time span of the data used is a six-year period from 2017 to 2022. Secondary data includes: data on producers and production of rice seeds, profiles of seed producers, data on groups (Subak) of paddy fields, rice area and production, agricultural labor, production costs and other data related to rice seed supply chain activities in Bali Province. Using the in-depth interview method, primary data was gathered through talks and interviews with key informants who included experts, practitioners and regulators. This study employs the Multi-dimensional Scaling and Rapid Appraisal for Sustainability (MDS-RAPS) approach to analyze the sustainable rice seed supply chain, followed by prospective analysis to generate expected sustainability strategies. The use of tools such as Super Decisions Software in implementing the Analytic Network Process (ANP). Sustainability data processing using Microsoft Excel software with Rapfish application and Prospective analysis using exsimpro software