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All Journal PROSIDING SEMINAR NASIONAL JURNAL GALUNG TROPIKA Dinamisia: Jurnal Pengabdian Kepada Masyarakat JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INOVASI EDUKASI JE-Unisla Al-Kharaj: Journal of Islamic Economic and Business Dinasti International Journal of Digital Business Management Jurnal Pendidikan Guru (JPG) J-Eltrik Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Techno Asian Journal Science and Engineering Simpati: Jurnal Penelitian Pendidikan dan Bahasa Jurnal Pengabdian Masyarakat Sehati SIMPLEX: Journal of Economic Management Al-Zayn: Jurnal Ilmu Sosial & Hukum Rabbayani: Jurnal Pendidikan dan Peradaban Islami Jurnal Cakrawala Pendidikan dan Biologi (jucapenbi)
Edy Kurniawan
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Journal : PROSIDING SEMINAR NASIONAL

 1 
Analisa Data Rekam Medis Menggunakan Teknik Data Mining Association Rules Dengan Algoritma Clustering Edy Kurniawan
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Patient information data located in medical centers and hospitals are in theform of ICD codes. Medical Record data is not just a pile of files, but can beused to extract the information contained therein. Some information thatcan be utilized is the information group of diseases that often suffered bypatients in the hospital. Information group of this disease can be utilized bythe manager in developing services to patients. From the side of the patientcan take advantage of treatment goals are more appropriate target inaccordance with the disease he suffered. To determine the analysis of thisstack of medical records using groupings, including grouping of regions,gender groupings, age groupings, and ICD code groupings. In this studyICD code used is ICD 10. Preposecing medical record data is divided intotwo, first data training and second is test data. From the results of dataprocessing using cross validation 10 fold obtained the most optimal resultswith an accuracy of 53.8% Keywords: Clustering Algorithm, Data Mining, Medical Record
Co-Authors , Desriyanti Abd. Rahim Abdur Rohman Wahid Agus Leonard Togatorop Aminuyati Andika Perwira Yuda Anis Retnowati Anoesyirwan Moeins Arif Hidayat Arifin, Rizal Deby Febrianti Syam Evi Fatmi Utami Fasya Aulia Sabrina Fitri Zuhriyah Hardani, H Helmina Andriani Ida Fitri Anggarini Jawwad Sulthon H Liska Lestari M. Iqbal Mantika, Ayu Aras Maulindar, Joni Moh. Ali Ridho Muchamad Chadiq Zakaria Muh. Hasbi Assidiq. R Muh. Zubair Muhammad Arham Firmansyah Muhammad Malyadi Nurchim Nurchim Nurianti HS P. Windraji Penidas Fodinggo Tanaem Pratiwi MK putriani Rahmawati Rahmawati Resi Silvia Riyanto, Didik Sri Idawati Suci Wulandari Suriati Syahrir Yani Rahardja Zulkham Umar Rosyidin