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All Journal Jurnal Transformatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Kilat Jurnal Review Pendidikan dan Pengajaran (JRPP) Journal of Computer Science and Engineering (JCSE) Indonesian Journal of Technology, Informatics and Science (IJTIS) Transformasi EXERO : Journal of Research in Business and Economics Jurnal Kabar Masyarakat Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP)
Wardhani, Anindya Khrisna
Universitas Diponegoro
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Journal : Kilat

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Penerapan Algoritma Partitioning Around Medoids Untuk Menentukan Kelompok Penyakit Pasien (Studi Kasus : Puskesmas Kajen Pekalongan) Anindya Khrisna Wardhani
KILAT Vol 6 No 1 (2017): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (686.164 KB) | DOI: 10.33322/kilat.v6i1.661

Abstract

Heaps of data residing on health services, polyclinics, hospitals and clinics are now only limited to providing graphs or statistics on the number of patients seeking treatment. The contents of the report in the form of the illness and its report medicine information from the disease.This research applies methods of partitioning around medoids (k-medoids) to produce information about the grouping of the disease "Acute" and "NOT ACUTE" that affects many patients in Puskesmas Kajen Pekalongan. Then these results can be used as ingredients or basic health education by the local Health Department. Based on the data obtained, the resulting number of acute cluster there are 94 items, not acute cluster 906 items with a total amount of data is 1000.
Co-Authors Adinugroho, Suryo Arina Nuraliza Romas Arlieza Anindyaputri Astrid Novita Putri Astrid Novita Putri, Astrid Ega Nugraha Erba Lutfina Nugraha, Ega Nur Latifah Dwi Mutiara Sari Pratama Angga Buana Qonita Ulfiana Sari, Yuhana Indah Tito Bimantoro Ulfiana, Qonita