Selection SMEs of Batik Bangkalan Using Fuzzy Interval Type-2 Method based on Group Support System
Yeni Kustiyahningsih, Jaka Purnama, Eza Rahmanita, Devie Rosa Anamisa · 2021
The Covid-19 pandemic has caused the domestic and global economic sectors to experience turmoil. The impact of the pandemic has been most pronounced in the Small Medium Enterprise (SMEs) sector. Most SMEs experienced a decline in sales turnover, difficulties in obtaining financing/credit, problems in the distribution of goods, and difficulties in obtaining raw materials. The purpose of this research is to determine the selection of Decision Support System (DSS) SMEs Batik Madura Indonesian, in the face of the Covid-19 pandemic based on influential indicators. The method used is interval value fuzzy type-2 Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) based on Group Decision Support System (GDSS). The method for processing expert data is interval value fuzzy type-2 Geometric Mean Aggregation (GMA). The research findings are the most influential indicator weights in the selection are a variety of batik motifs and online market places. The contribution of the research is to develop the fuzzy interval type-2 method to support SMEs selection decisions by modifying the midpoint on triangular Fuzzy Number interval based on GRUP (GDSS). Based on expert data, the comparison of accuracy between fuzzy type-2 with one point, and two points, the highest accuracy result is using fuzzy type-2 with two points.