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Rachmawati, Ervina
Politeknik Negeri Jember
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : Jurnal Buana Informatika

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Klasterisasi Puskesmas dengan K-Means Berdasarkan Data Kualitas Kesehatan Keluarga dan Gizi Masyarakat Bakhtiyar Hadi Prakoso; Ervina Rachmawati; Demiawan Rachmatta Putro Mudiono; Veronika Vestine; Gandu Eko Julianto Suyoso
Jurnal Buana Informatika Vol. 14 No. 01 (2023): Jurnal Buana Informatika, Volume 14, Nomor 1, April 2023
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v14i01.7105

Abstract

One of the fundamental principles followed by the Jember Health Office for decision-making is data. Data plays a crucial role in the decision-making process. Raw data is more difficult to interpret and needs to be analyzed. Clustering is one of the techniques used for analysis. This study discusses using K-Means to cluster Public Health Center data based on AKI, AKB, and stunting prevalence. The data is processed by reducing dimensions and normalizing them. The clustering process is performed using the K-Means method, where the maximum k-value is obtained by calculating WCSS. The clustering process results in three clusters of Public Health Centers in the Jember Regency. These clusters can serve as a reference for the Jember Health Office to formulate family health and community nutrition quality policies.Keywords: data mining, K-Means, clustering, Maternal Mortality Rate, Infant Mortality Rate, the prevalence of stunting Salah satu dasar pengambilan kebijakan oleh Dinas Kesehatan Jember adalah data. Data memiliki peran dalam proses pengambilan keputusan. Data mentah yang didapatkan lebih sulit untuk diinterpretasikan sehingga diperlukan analisis terhadap data tesebut. Salah satu analisis yang dapat digunakan adalah teknik klasterisasi. Padapenelitian ini akan dibahas penggunaan K-Means untuk klasterisasi data puskesmas berdasarkan AKI, AKB, dan prevalensi stunting. Data diproses dengan melakukan reduksi dimensi dan normalisasi. Proses klasterisasi dilakukan dengan metode K-Means dimana nilai k maksimal diperoleh dengan menghitung WCSS. Adapun hasil proses klasterisasi didapatkan tiga kelompok klaster puskesmas yang terdapat di Kabupaten Jember. Hasil klasterisasi dapat digunakan sebagai referensi Dinas Kesehatan Jember dalam mengambil kebijakan terkait kualitas kesehatan keluarga dan gizi masyarakatKata Kunci: data mining, K-Means, klasterisasi, Angka Kematian Ibu, Angka Kematian Bayi, prevalensi stunting
Co-Authors Adi Prasetyo Adlien Rizqo Fadillah Agni Candramawa Sholikha Agus Salim Aldo Daffa Daniswara Alfiansyah, Gamasiano Alfiansyah, Gamasiano Ali Chamid Alia Chaerunisa Alifah, Safira Nur Andri Permana Wicaksono Ani Nuraini Atma Deharja Atma Deharja Atma Deharja Atma Deharja avan fadholi Azizah, Sandi Nur Bakhtiyar Hadi Prakoso Dara Ayu Nirwana Datik Lestari Deharja, Atma Delvia NB, Azza Ferista Demiawan Rachmatta Putro Mudiono Dito Yogo Waskito Donny Adhasari Hasan Dony Setiawan Dwi Rizky Permatasari Efri Tri Ardianto Fahirah Tamara Salim Fajria Nur Rahmah Fatika Laily Novitasari Febriyani, Kharishma Dyah Feby Erawantini Feby Erawantini Firdaus Sholehah Fitri, Zilvanhisna Emka Fitriani Fitriani Gamasiano Alfiansyah Gandu Eko Julianto Suyoso Gandu Eko Julianto Suyoso Harningsih, Dewi Hasan, Khumaidah Hayu Ning Widyastuti Hikmah, Faiqatul Himma, Alifiah Faiqotul Husin Husin, Husin Ida Nurmawati Ikha Nurjihan Indah Muflihatin Istianingsih, Noviana Jabal Nur Hamdani Jannah, Siti Elatul Lu'aily Munawaroh Maemunah Maemunah Mahshunah, Anisah Maya Weka Santi Maya Weka Santi Maya Weka Santi maya weka santi, maya weka Melati Ayu Pratiwi Miftahul Jannah Mudafiq Riyan Pratama Mudiono, Demiawan Rachmatta Putro Muflihatin, Indah Muhammad Yunus Muhammad Yunus Muna, Niyalatul Niyalatul Muna Ni’mah, Khomsatun Novita Nuraini Nugroho Setyo Wibowo Nuraini, Novita nurmawati, ida Puspitasari, Trismayanti Dwi Rahagiyanto, Angga Rohman, Nur Cholis Abdul Rossalina Adi Wijayanti Roziqin, Mochammad Choirur Sabran Sabran Sabran, Sabran Santi , Maya Weka Santi, Maya Weka Sedyo Pinerdi Selvia Juwita Swari Selvia Juwita Swari Selvia Juwita Swari Silfiatul Mukaromah Sitti Fa’Isil Karomah Sulandari Sulandari Sustin Farlinda Suyoso, Gandu Eko Julianto Swari, Selvia Syahbaniar, Desi Tamami Alifia Annisa Veronika Vestine Vestine, Veronika Virda Hardiana Wicaksono, Kurniawan Erman Wijayanti, Rossalina Wijayanti, Rossalina Adi Yohan Yuanta, Yohan Yusfa Ike Rustiana