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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 : Jurnal Transformatika

 1 
K-MEANS ALGORITHM IMPLEMENTATION FOR CLUSTERING OF PATIENTS DISEASE IN KAJEN CLINIC OF PEKALONGAN Anindya Khrisna Wardhani
Jurnal Transformatika Vol 14, No 1 (2016): July 2016
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v14i1.387

Abstract

In determining the consistency of health data, can use data mining techniques that can dig the hidden information from multidimensional data sets that have been obtained. In addition, data wich connected with other data can also be done by these data mining techniques. One of the data mining techniques is quite well known namely clustering. The methods are quite popular in data mining techniques that called k-means method. It is used to facilitate medical recorder for analyzing the general health situation of population groups in archiving health care data. The results of this analysis, the clustering of the disease based on age, sex, duration of disease and disease diagnosis.This research used tool Rapid Miner 5.3.Based on the data from clinic centers Kajen Pekalongan, the result of clustering is 376 items of acute and 624 unacute diseases from 1000 total of data.
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