Sonalitha, Elta ORCID: https://orcid.org/0000-0001-6517-3314, Nurdewanto, Bambang, Ratih, Salnan, Sari, Nadia Roosmalita, Setiawan, Aries Boedi ORCID: https://orcid.org/0000-0002-1265-092X and Tutuko, Pindo ORCID: https://orcid.org/0000-0001-6517-3314 (2018) Comparative analysis of Tsukomoto and Mamdani fuzzy inference system on market matching to determine the number of export for MSMEs. In: 2018 Electrical Power, Electronics, Communications, Control andInformatics Seminar (EECCIS), 9-11 Oktober 2018, Batu, Indonesia.

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Abstract

The improvement of MSMEs export performance is one of the government's efforts to improve the economy of the community. Increased export performance is done by monitoring and controlling the amount of exports. the problem faced in determining the amount of exports is the difficulty of calculating the stock, capacity, and competition among MSMEs in influencing the amount of stock. The right amount will minimize the loss from the MSMEs side. This study uses export data of wood and other forest product sub-sector, that is commodity furniture. Fuzzy method in some study can give optimal result.. This study compares two methods to determine the effectiveness of products that benefit MSMEs. This study examines the effectiveness of
Fuzzy Mamdani and Fuzzy Tsukamoto methods on market matching process. Based on this study, Fuzzy Mamdani gives a better performance than fuzzy Tsukamoto with the accuracy system is MAPE=6.49%

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