Penerapan Metode SAW dan TOPSIS dalam Sistem Rekomendasi Lowongan Kerja Bali

ob information is important for humans, because almost every human being needs a job. The more human resource vacancies in an area, the higher the demand for job vacancies. Bali is one of the areas that has experienced an increase in unemployment since the pandemic, Bali has a work force of 2.6 million people who need work . To help Bali job seekers find jobs that match their criteria. In this study, a recommendation system for job vacancies in Bali was built based on the preferences of respondents who live in Bali. This system will apply the SAW-TOPSIS method in providing recommendations. For the development method, the Waterfall Model will be used. Job vacancies data will be collected secondaryly via the internet. The criteria and weights in the recommendations are based on the results of the respondent's survey. The results of this study note that the application of the SAW-TOPSIS method on the job vacancy recommendation system in Bali gets an accuracy value of 53.57% and a usability test value of 83.39% which indicates a good usability value