Abstract— Diseases in chili plants often cause farmers to
experience crop failure. Diseases that are often encountered are
leaf spot disease, wilt disease, and anthracnose disease caused by
fungi. Therefore, farmers are trying to prevent and reduce the
disease by using pesticides. The use of pesticides in agriculture
plays a role in preventing and reducing diseases in chili plants.
Pesticides for chili plants are quite widely spread on the market
and have the advantages of each product offered to farmers, so
farmers must be more careful and understanding in choosing
pesticides to be used in preventing chili plant diseases. For that we
need a decision support system (SPK). The purpose of this
research is to apply the MAUT method in SPK which can help chili
farmers in selecting pesticides. The data used in this study are 10
types of pesticides as an alternative. While the criteria consist of
price, classification, number of diseases eradicated, method of
action, shelf life, and formulation concentration. Data analysis
uses the MAUT method with the steps of forming a decision
matrix, normalizing the decision matrix, determining the utility
matrix, calculating the final utility, and ranking. The research
results obtained for the three best pesticides are Tridex 80 WP,
Ziflo 76 WG, and Cabriotop 60 WG.