Lelang.in Website as Supply Chain Management and Scheduling Using Simulated Annealing for Fisheries Commodities Distribution

• Published in: 2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) pp. 134 - 138
• Main Authors: Pradipta, Sarah Tyas, Sari, Fourriska Mukti Nuryasinta, Program, Eva Wati Asri Mawaddah, Darnoto, Brian Rizqi Paradisiaca, Bukhori, Saiful, Dewi, Fitriyana, Putra, Januar Adi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-10-2019
• Subjects: Aquaculture; Cooling; Fish; fishery; gap; Metals; Simulated annealing; Simulated Annealing Algorithm; Supply chain management; website
• DOI: 10.1109/ICOMITEE.2019.8921116

The gap that occurs between fishermen and the last-hand customers causes a low level of economic Indonesian fishermen. Fish purchased from fishermen always get a low price while the selling price in shops, supermarkets or modern markets is higher or far from the price of fishermen. This is quite beneficial for the large fisheries industry sector but not for small industry sector fishermen. The use of the Lelang.in system is expected to provide a high purchase price to fishermen while the selling price to customers is based on market prices. By using the Simulated Annealing Algorithm, it is expected that it can also help in arranging scheduling that occurs in a particular fishery company or factory. So the possibility of not doing raw fish can be overcome quickly by processing.