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Comparative analysis of Tsukomoto and Mamdani fuzzy inference system on market matching to determine the number of export for MSMEs

Sonalitha, Elta ORCID: https://orcid.org/0000-0001-6517-3314, Nurdewanto, Bambang, Ratih, Salnan, Sari, Nadia Roosmalita, Setiawan, Aries Boedi and Tutuko, Pindo (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%

Item Type: Conference or Workshop Item (Paper)
Additional Information: Pindo Tutuko NIDN: 0002077201 Elta Sonalitha NIDN: 0712017902
Uncontrolled Keywords: market matching, fuzzy Mamdani, fuzzy Tsukamoto, export, MAPE
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik > S1 Teknik Arsitektur
Depositing User: Users 14 not found.
Date Deposited: 16 Mar 2020 04:08
Last Modified: 13 Nov 2021 12:44
URI: https://eprints.unmer.ac.id/id/eprint/149

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