Universitas Lambung Mangkurat, Indonesia
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@article{JTSISKOM14424, author = {Noor Hidayah and Muliadi - and Irwan Budiman and Dodon Turianto Nugrahadi and Rudy Herteno}, title = {Pengelompokan PMKS menggunakan Self Organizing Maps dengan perbaikan missing value Naïve Bayes Imputation}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {10}, number = {4}, year = {2024}, keywords = {Penyandang Masalah Kesejahteraan Sosial (PMKS); Self Organizing Maps (SOM); Naïve Bayes Imputation (NBI); Metode Statistik}, abstract = {Penyandang Masalah Kesejahteraan Sosial (PMKS) merupakan permasalahan pada kelompok masyarakat yang memiliki kesulitan dalam menjalankan fungsi sosial. Penelitian dilakukan untuk mengetahui karakteristik permasalahan di wilayah Kalimantan Selatan dengan menggunakan klasterisasi. Metode klasterisasi yang digunakan adalah SOM dan pengisian data kosong menggunakan NBI yang dibandingkan dengan Metode Statistik (Mean, Median, dan Modus). Proses dimulai dari mengisian data kosong dengan NBI dan Metode Statistik, dilanjutkan dengan klaster SOM dan hasil klaster dievaluasi menggunakan DBI. Hasil yang didapatkan adalah perbaikan NBI menempati hasil klasterisasi terbaik dengan nilai 0,032 pada pembagian 2 klaster. Klaster pertama berjumlah 8 wilayah yaitu Tanah Laut, Kota Baru, Tapin, Hulu Sungai Selatan, Hulu Sungai Tengah, Hulu Sungai Utara, Tabalong, dan Tanah Bumbu. Klaster kedua berjumlah 5 wilayah yaitu Banjar, Barito Kuala, Balangan, Banjarmasin, dan Banjarbaru. Tingkat prioritas yang diperoleh dari rata-rata klaster didapatkan bahwa klaster kedua sebagai prioritas pertama.}, issn = {2338-0403}, doi = {10.14710/jtsiskom.2022.14424}, url = {https://jtsiskom.undip.ac.id/article/view/14424} }
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