Characteristic Analysis for Cooperatives Based on Cooperative Clustering in Cianjur

Abstract

Cooperatives are a venture that can provide a solution to society's need for life-based on the spirit of help. The position of cooperatives in Indonesia is very important as one of the pillars of the economy. However, in the past few years, the number of cooperatives has steadily decreased because they have not fulfilled their duties and functions. This decline in the number of cooperatives also occurred in Cianjur, where around 70% of cooperatives died in 2018. Therefore, this study aims to analyze cooperatives in Cianjur based on clusters formed from the Cianjur cooperative database. The research data were obtained from the DKUPP Cianjur database. The data obtained totaled 1528 cooperatives with 8 attributes, namely the type of cooperative, cooperative group, business sector, number of members, own capital, external capital, business volume, and remaining business results. The cooperative cluster was formed using a combination of the Particle Swam Optimization and K-Means Clustering methods with the help of Rapid Miner. The result was three cooperative clusters in Cianjur with a Davies Bouldin index score of -1.54. The first cluster character was a thriving trading cooperative group or a developing trade cooperative group that had a fairly good business aspect, the character of the second cluster was an excellent financial service cooperative group or a cooperative with a very good financial condition, and the character of the third cluster is the unperforming financial cooperatives group or cooperative groups with poor financial conditions.