Abstract: The Objective of this study is to develop a SWOT analysis and strategies for improving MSMEs performance based on SWOT analysis. This type of study is descriptif which describes the advantages, weaknesses, opportunities and threats faced by MSMEs in Karangasem Regency. The type of data used primary and secondary data collected by documentation, interviews, and in-depth interviews. The population of the study is all MSMEs actors who are craftsmen, ate and bamboo plaiting, processing coconut shells and wood carvings. The samples were determined by proportional random sampling. Data were analyzed qualitatively and SWOT analysis. The results show that the strength possessed by MSMEs were: availability of raw materials and labour with relativly cheap price, the quality of product is very good, the weaknesses that MSMEs have were: the amount of quality labour was still low, product design less innovative and limited market information, the opportunities they have were: getting capital assistance in the form of soft loans from Village Owned Enterptrise, attention from the government especially training and mentoring and threats encountered by MSMEs were: strictly competition and low of economic condition. The four strategies that were used for increasing the performance of MSMEs were based on the results of the SWOT analysis, were: first SO strategy by maintaining product quality by utilizing Village Owned Enterptrise assistance and government training, both WO strategies compile online marketing programs and increase product design innovation and creativity , three ST strategies optimize the availability of raw materials and relatively cheap labor to win the competition and four WT strategies increase the creativity of product design and looking for new market share.
Keywords: Performance, MSMEs, Analysis, SWOT.
Title: MSMEs PERFORMANCE INCREASING BASED ON SWOT ANALYSIS
Author: Ni Kadek Sinarwati, Nyoman Djinar Setiawina
International Journal of Social Science and Humanities Research
ISSN 2348-3156 (Print), ISSN 2348-3164 (online)
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