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Klasterisasi Daerah Rawan Bencana Alam Menggunakan Algoritma K-Means
East Java is a province with high vulnerability to disasters, such as floods, landslides, earthquakes, and strong winds, which have an impact on material losses, casualties, and deterioration of socio-economic conditions, especially in rural areas. The lack of mitigation strategies and resource allocation worsens disaster management. This study aims to
null Michael Kevin Adinata +2 more
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Klasterisasi Wilayah Penjualan Pada Toko Roni Menggunakan K-Means
Penelitian ini bertujuan untuk mengelompokkan wilayah pelanggan toko Roni berdasarkan intensitas pembelian menggunakan algoritma K-Means Clustering. Taha- pan penelitian meliputi pengumpulan data, pra-pemrosesan, pelabelan data, ekstraksi fitur, pemodelan implementasi, pengujian hingga evaluasi.
null Ermala Handayani +1 more
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Penerapan Algoritma K-Means Untuk Klasterisasi Produktivitas Tanaman Jahe
Sumenep Regency is one of the regions that produces ginger plants in East Java province, and has become one of the mainstays of the community's economy. However, there are obstacles faced, namely the size of the planting area, erratic weather changes and the lack of modern technology in ginger cultivation which are the main causes in affecting crop ...
null Nayla Salsabila +2 more
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Klasterisasi Prevalensi Stunting Menggunakan K-Prototype pada Data Campuran
Cluster analysis is a statistical method for grouping objects based on the similar characteristics of each object. One of the algorithms used in cluster analysis is K-Prototype, which was developed to handle mixed data, namely numerical and categorical data.
Aldwin Falah Hasan Marsandy +2 more
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Klasterisasi Musik Menggunakan K-Means
Farih Sartika Farhani, Anita Qoiriah
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Penerapan Algoritma K-Means Clustering Untuk Klasterisasi Penyakit Pasien
Rs. Subulussalam City, is the centre of the regional general hospital of Subulussalam city Aceh which is already known and trusted by the local community. Various types of patient diseases that exist in this public hospital, therefore, the purpose of this study is to cluster patients at Rs. Kota Subulussalam, with the problems that are happening in the
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Implementasi Data Mining untuk Klasterisasi dan Prediksi Kelompok Keluarga
Imam Sapuan +2 more
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Klasterisasi Harga Kripokurensi (BitCoin) Menggunakan Metode K-Means
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Pemanfaatan Algoritma K-Means dalam Klasterisasi Gempa Sulawesi
Arief Wibowo, Wawan Gunawan
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KLASTERISASI PASIEN STUNTING MENGGUNAKAN ALGORITHMA K-MEANS
JURNAL SATYA INFORMATIKA, 2023Stunting merupakan ganguan pertumbuhan linier pada bayi baru lahir yang di sebabkan oleh beberapa factor yaitu antara lain factor BBLR berat badan lahir rendah, pendidikan ibu, pendapatan rumah tangga, dan lain sebagainya. Sehingga diperlukannya pengklasteran pada kasus ini agar mengetahui stunting dengan cluster ringan, berat ataupun sedang.
null Ulumuddin, null Hasbi firmansyah
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