Penerapan Association Rules untuk Mengidentifikasi Pola Penyakit (Studi Kasus : RSUD Dr Muhammad Zein Painan)
Keywords:Algoritma Apriori, Association Rules, Lift Ratio, PHP, Rekam Medis
AbstractAt Dr Muhammad Zein Painan Hospital, medical record data is only used as an archive and only fulfills storage. Existing medical record data should be used as a reference for making disease projections in the Pesisir Selatan area and can be used as a reference in the management of hospital resources, such as medical personnel, medicines, infrastructure, etc. the hospital that accommodates the most patients in Pesisir Selatan. In this study, Association Rules were used to identify existing disease patterns. Data processing is carried out using the Apriori Algorithm so that each resulting pattern has a support and confidence value to calculate the percentage of each existing pattern. The data processing is carried out using a website built with the PHP programming language and MySQL database. Based on the calculations that have been made, two patterns have been produced with a confidence value above 40%. These patterns include: "If the gender is female and the age category is a child, then the diagnosis is falciparum malaria", "If the gender is female and the age category is elderly then the diagnosis is stroke infarction". Each pattern was tested again using the Lift Ratio test and each had an Lift Ratio value of 9.1 and 6.05. That is, the resulting pattern is considered strong so that it has useful values that should be applied as a reference in making decisions and taking the necessary actions.
Rerung, R. R. (2018). Penerapan Data Mining dengan Memanfaatkan. JTERA - Jurnal Teknologi Rekayasa, 89-98.
Konsil Kedokteran Indonesia. (2006, November). Konsil Kedokteran Indonesia. Retrieved Mei 1, 2020, from Konsil Kedokteran Indonesia:
Mauladi, S. M., Ir. Indra Weni, M., & Zainil Abidin, S. M. (2018). PENERAPAN METODE ASSOCIATION RULES DALAM MENENTUKAN. (JUSS) Jurnal Sains dan Sistem Informasi
Abdul Aziz Priatna, R. M. (2018). Penerapan Association Rules Menggunakan Algoritma Apriori Pada Sistem Rekomendasi Pemilihan Resep Obat Berdasarkan Data Rekam Medis. Jurnal Teori dan Aplikasi Ilmu Komputer, 55-60.
Kurniawan, I. (2019, April 4). DATA MINING. Retrieved Juni 3, 2020, from Binus University:
ilmuskripsi. (2016, June 30). Association Rules. Retrieved June 3, 2020, from Ilmu Skripsi:
informatikalogi. (2017, July 13). Algoritma Apriori (Association Rule). Retrieved June 3, 2020, from Informatikalogi: https://informatikalogi.com/algoritma-apriori-association-rule/
Latifah, V. N. (2018). Implementasi Algoritme Modified-Apriori Untuk Menentukan Pola. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 3829-3834.
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