Ekawati, Ratna and Arkeman, Yandra and Suprihatin, Suprihatin and Sunarti, Titi Candra (2021) BUSINESS ANALYSIS BASED ON TRACEABILITY FRAMEWORK ON SUGAR SUPPLY CHAIN. Jurnal Teknologi Industri Pertanian, 31 (2). pp. 242-248. ISSN 0216-3160

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Abstract

The complexity of the supply chain also causes complex decisions for problems that must be handled even though it is very difficult but requires a fast and accurate response. Sugar cane agroindustry carries out business processes starting from harvesting, processing sugar cane into sugar which is then distributed to consumers through distributors or retailers to direct consumers. The problem that occurs in the distribution of data information flow in the sugar agroindustry supply chain is that there is a gap in the number of precision sugar stocks that exist between government departments, as well as what happens between the quality of national sugar such as raw sugar, white crystal sugar, and refined sugar. Until the sugar cane mills are the same, the amount of production and consumption in the ministry will be different. Therefore, it was identified based on the business processes of cutting sugar cane, transportation, milling, storage, and sales to buyers and distributing it to consumers. The approach used were a finding-oriented approach to supply chain management references and initial diagnosis to complete the literature investigation following the ecosystem in real conditions. Identification of problems that occur was analyzed based on the description of the initial condition of the supply chain, needs analysis based on input-output diagrams, and use case diagrams to the sugar traceability framework. The integrated tracking system was expected to improve process control and to detect cause and effect when a product fails to meet standards in the flow of information along the supply chain from upstream to downstream end consumers. The traceability framework proposed in the sugar agroindustry business process begins with distributing product travel document transactions from upstream to downstream, specifically for the value of quality and quantity information so that players are involved in the supply chain data records

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