Merujuk pada Undang-Undang Nomor 20 Tahun 2008 tentang Usaha Mikro, Kecil, dan Menengah, UMKM alias usaha mikro adalah usaha milik perseorangan atau badan usaha perorangan yang produktif dan memenuhi kriteria yang ditulis oleh undang-undang. Tujuan penelitian ini adalah untuk Memanfaatkan peran teknologi dalam pengaplikasian penentuan UMKM terbaik pada DINAS PERIMDAGKUM Kabupaten Kepulauan Selayar. Metode Weighted Produk dapat digunakan dalam proses pengambilan keputusan berbasis multi kriteria. Penerapan metode Weighted Product didalam penentuan kinerja UMKM dengan menggunakan kriteria penilaian berupa jumlah karyawan, aset karyawan omset pertahun, pemodal, terget pasar, sistem pemasaran, karakter produk. Hasil yang dicapai pada penelitian ini adalah membangun sebuah aplikasi sistem pendukung keputusan dalam penentuan status UMKM terbaik yang diterapkan pada DINAS PERIMDAGKUM Kabupaten Kepulauan Selayar secara akuntable dan objektif

This research was carried out in the context of implementing the K-NN algorithm so that a source of information can be produced as a basis for supporting decisions on initial credit applications by customers so that they can help cooperative managers more as knowledge of the progress of credit proposals that are carried out at the Micro, Small and Medium Enterprise Cooperative Service Office ( SMEs) South Sulawesi Province. The K-Nearest Neighbor algorithm is used to classify objects based on attributes and training samples. Among them, from k objects, the k-Nearest Neighbor algorithm uses neighbor classification as the predicted value. The results show that the algorithm produces a classification with a faster calculation time based on the prediction of customer data resulting from the calculation.

This study aims to determine student satisfaction with STMIK Professional Academic Administration Services based on Tangibles, Responsiveness, Reliability, Empathy, and Assurance aspects. descriptive with a quantitative approach. The population of this study was 454 students of the 2018-2021 STMIK Professional class. The sampling technique was carried out by proportional stratified random sampling. The sample size is 100 people. The data collection technique used an attitude scale. The data analysis technique used a trend test and the percentage of the frequency distribution of each aspect of satisfaction

This study aims to determine student responses to the application of web learning through flipped learning on students. This study uses a qualitative method because the data is obtained from the sources, especially students with a more natural method, namely direct observation and distribution of questionnaires so that conclusions can be drawn from what is being studied. The questionnaire used refers to the liked scale with the choices for respondents being strongly agree, agree, disagree, disagree, and strongly disagree. There are 10 questions in total, all of which are positive questions. Based on the results of data analysis, it can be concluded that the respondents' responses to the application of web learning through flipped learning to students amounted to 81% of these results, the respondents' responses were in good criteria because 81% were in the range of 69-84%.