<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA"^^ . "Clustering is a technique used to group data with similar characteristics within\r\neach cluster. There are several clustering methods available, such as K-Means\r\nand DBSCAN. K-Means is a clustering algorithm that partitions data into several\r\nclusters, while DBSCAN builds clusters based on connected densities. This\r\nresearch will use K-Means and DBSCAN clustering methods to perform\r\nclustering with stunting causal factor data and simulated data as a consideration of\r\nthe performance of both methods. The results obtained on the data of the factors\r\nthat cause stunting, the K-Means method has better performance based on the SI\r\nvalue of 0.5253 and the CH value of 26.0940. While in simulation data where the\r\ndata is normally distributed and does not contain outliers, the DBSCAN method\r\nhas better performance based on the SI value of 0.6495 and the CH value of\r\n328.0302.\r\n\r\nKata kunci : Clustering, K-Means, DBSCAN, Stunting.\r\n\r\nABSTRAK\r\n\r\nKLASTERISASI METODE DENSITY-BASED SPATIAL CLUSTERING OF\r\nAPPLICATION WITH NOISE (DBSCAN) DAN K-MEANS DALAM\r\nPENGELOMPOKAN PROVINSI BERDASARKAN FAKTOR PENYEBAB\r\n\r\nSTUNTING DI INDONESIA\r\n\r\nOleh\r\n\r\nNADIA ATHIYAH PUTRI\r\n\r\nClustering adalah teknik yang digunakan untuk mengelompokkan data dengan\r\nkarakteristik yang sama dalam setiap cluster. Ada beberapa metode clustering\r\nyang tersedia, seperti K-Means dan DBSCAN. K-Means adalah algoritma\r\nclustering yang mempartisi data ke dalam beberapa cluster, sedangkan DBSCAN\r\nmembangun cluster berdasarkan densitas yang terhubung. Penelitian ini akan\r\nmenggunakan metode clustering K-Means dan DBSCAN untuk melakukan\r\nclustering dengan data faktor penyebab stunting dan data simulasi sebagai\r\npertimbangan performa dari kedua metode. Hasil yang diperoleh pada data faktor\r\npenyebab stunting metode K-Means memiliki performa yang lebih baik\r\nberdasarkan nilai SI sebesar 0.5253 dan nilai CH sebesar 26.0940. Sedangkan\r\npada data simulasi dimana data tersebut berdistribusi normal dan tidak\r\nmengandung pencilan metode DBSCAN memiliki performa yang lebih baik\r\nberdasarkan nilai SI sebesar 0,6495 dan nilai CH sebesar 328,0302.\r\nKata kunci : Clustering, K-Means, DBSCAN, Stunting."^^ . "2024-07-01" . . . . . "FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM"^^ . . . . . . . "ATHIYAH PUTRI"^^ . "NADIA "^^ . "ATHIYAH PUTRI NADIA "^^ . . . . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (File PDF)"^^ . . . "ABSTRAK - Nadii Ptr.pdf"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (File PDF)"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (File PDF)"^^ . . . "SKRIPSI TANPA BAB PEMBAHASAN - Nadii Ptr.pdf"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "preview.jpg"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "medium.jpg"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "small.jpg"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "indexcodes.txt"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "indexcodes.txt"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "preview.jpg"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "medium.jpg"^^ . . . "CLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING\r\nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN\r\nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE\r\n\r\nSTUNTING IN INDONESIA (Other)"^^ . . . . . . "small.jpg"^^ . . "HTML Summary of #86808 \n\nCLUSTERING METHOD OF DENSITY-BASED SPATIAL CLUSTERING \nOF APPLICATION WITH NOISE (DBSCAN) AND K-MEANS IN \nCLUSTERING PROVINCES BASED ON FACTORS THAT CAUSE \n \nSTUNTING IN INDONESIA\n\n" . "text/html" . . . "500 ilmu pengetahuan alam dan matematika" . . . "510 Matematika" . .