Development of a Fuzzy Tsukamoto-Based Information System for Vocational Competency Test Readiness at SMK Negeri 1 Sindang

The Vocational Competency Test (Uji Kompetensi Keahlian, UKK) is the final assessment of graduate competency standards established in the National Education Standards for vocational high schools (SMK), so teachers need an objective way to assess student readiness before the examination. At SMK Negeri 1 Sindang, this readiness is still determined manually and subjectively based on theory scores, practical scores, attendance, and attitude. This study aims to develop and test an information system for determining UKK readiness based on the Fuzzy Tsukamoto method. The study used the Research and Development method with the ADDIE model, and the system was built with Python Flask and SQLite through fuzzification, an inference base of 81 rules agreed upon with productive teachers, and weighted-average defuzzification. Data were collected through interviews, documentation, expert validation, and user trials. The readiness scores and categories produced by the system matched manual Fuzzy Tsukamoto calculations 100% on the tested student data, expert product validation reached 90.38%, and user testing reached 89.06%, both in the Highly Feasible category. Students in the Not Ready or Fairly Ready categories can be directed promptly to remedial coaching on their weakest variables before the examination. Thus, the system is feasible to use as an objective decision-support tool in UKK preparation.