Abstrak
Cindy Adilla, C1955201070, 2022. Application of Inventory Classification Using the Fuzzy Inference System Method for the Central Kalimantan Province's Diskominfosantik, Supervisor I Lili Rusdiana M.Kom., Advisor II Rudini M.Pd. Inventory classification is needed in order to maximize the use of existing inventory and to support the fulfillment of needs according to conditions in the office. Fuzzy logic is an efficient solution for determining classification, because it has a function to provide problem-solving modeling like what humans do with the help of computer technology. The problem of this research is the process of implementing the Fuzzy Inference System Method into a website-based application system for inventory classification at the Communication, Informatics, Encryption, and Statistics Office of Central Kalimantan Province with the html and php programming languages. This research produces the output of inventory classification results, namely the need to add inventory, inventory in appropriate quantities, inventory available quite a lot. There are four variables used in this study, namely the amount of inventory, average use, waiting time, and users. This application also has a feature to generate inventory QR-Code and scan Inventory QR-Code on an android application made with kodular.io. Data collection techniques were carried out by means of observation, interviews, and library research. The application calculation accuracy is 100% the same as manual calculations and the accuracy of the results or the accuracy of the classification results is 61%. Keywords : Classification, FIS, Inventory, QR-Code