Analisis K-Medoid Untuk Pemetaan Tingkat Pencemaran Udara di Provinsi Sulawesi Selatan
نویسندگان
چکیده
Analisis gerombol berfungsi untuk mengelompokkan objek-objek dengan kesamaan karakteristik yang tinggi dalam 1 sementara ketidaksamaan berada berbeda. terbagi menjadi 2 yaitu hierarki dan non-hierarki. Penelitian ini menerapkan analisis non-hierarki metode k-medoid menggerombolkan kabupaten/kota beserta empat sektornya transportasi, industri/agro industri, pemukiman, perkantoran/komersial di Provinsi Sulawesi Selatan berdasarkan indikator penyusun nilai Indeks Kualitas Udara (IKU) tahun 2019 2020. IKU dikategorikan enam status Lingkungan Hidup (IKLH). Untuk mendapatkan terbaik dari proses maka setiap perlu dievaluasi menggunakan koefisien silhouette. Hasil penelitian menunjukkan k = merupakan inisiasi silhouette sebesar 0,56. terhadap hasil bahwa penggunaan gerombol, data passive sampler menghasilkan termasuk kategori IKLH sangat baik 84,14 masuk kurang 60,04. 2020 80,68 61,53.Kata Kunci: k-medoid, IKU, silhouetteCluster analysis serves to group objects with high similarity of characteristics in one cluster while dissimilarity are different clusters. Cluster is divided into two, namely hierarchical and non-hierarchical. This study applies a non-hierarchical analysis, the method districts/cities their four sectors, transportation, industrial/agroindustrial, residential, office/commercial South Province based on indicators that make up Air Quality Index (AQI) value AQI categorized six Environmental (EQI) statuses. To get best clusters from process, each needs be evaluated using coefficient value. The results this indicate initiations 0.56. show use clusters, for data, included very good EQI category 84.14 less an 60.04. For 80.68 61.53.Keywords: CLARA, AQI, Silhouette Coefficient
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ژورنال
عنوان ژورنال: JMathCoS (Journal of Mathematics, Computation, and Statistics)
سال: 2022
ISSN: ['2721-0863', '2476-9487']
DOI: https://doi.org/10.35580/jmathcos.v5i2.38215