Penerapan Metode Association Rule Terhadap Pola Data Penyakit Pada RSUD Jakarta Menggunakan Algoritma Apriori

Citra Permana Putra; Achmad Rifai; Irmawati Irmawati; Kudiantoro Widianto

doi:10.52362/jisamar.v6i4.828

Citra Permana Putra Universitas Nusa Mandiri
Achmad Rifai Universitas Nusa Mandiri
Irmawati Irmawati Universitas Bina Sarana Informatika
Kudiantoro Widianto Universitas Bina Sarana Informatika

DOI: https://doi.org/10.52362/jisamar.v6i4.828

Abstract

The hospital is a place to treat patients who come from various regions with various diseases, because lifestyle and the environment play a role in the course of the disease. Some of the problems that arise in dealing with disease include lack of information about the spread of disease and the percentage level of disease spread in the community. One solution to this problem is the application of the association rule method that looks for patterns or relationships between items in a dataset determined by an a priori algorithm that can search historical data to identify data patterns based on previously identified properties. This research method is quantitative data with primary data taken from medical records of Johar Baru Hospital Jakarta. Which then can be obtained an information on what diseases most often appear together in hospitals so that prevention of these diseases can be done. This study aims to find patterns of disease that are developing in the community. The resulting information can then be used by the hospital to maximize the availability of drugs, complete medical equipment, and rooms in the hospital.

Downloads

Download data is not yet available.

References

Han, Jiawei, Micheline Kamber, And Jian Pei. 2012. Data Mining: Concepts And Techniques Data Mining: Concepts And Techniques.
Haris, Abdul. 2019. “RISIKO PENYAKIT Kardiovaskuler Pada Peserta Program Pengelolaan Penyakit Kronis ( Prolanis ) Di Puskesmas Kota Bima : Korelasinya Dengan Ankle Brachial Index Dan Obesitas Pendahuluan Metode.” 22(September): 200–208.
Hernawati, And Muhadi Hariyanto. 2022. “Inti Nusa Mandiri Market Basket Analysis Tren Hijab Mengunakan Algoritma.” 16(2): 1–6.
Indriyawati, Henny, Khoirudin, And Edi Widodo. 2021. “Penerapan Association Rule Dengan Algoritma Apriori Untuk Prediksi Penjadwalan Mata Kuliah.” Jurnal Teknologi Informasi Dan Komunikasi 12(2): 42–47.
Kristiani, Oktavia. 2017. “Association Rule Mining Dengan Algoritma Apriori Untuk Analisa Data Pola Penyakit.” Simki-Techsin 01(01): 1–7.
Kurniawan, Harris, Fujiati, And Alfa Saleh. 2014. “Analisa Pola Data Penyakit Rumah Sakit Dengan Menerapkan Metode Association Rule Menggunakan Algoritma Apriori.” Seminar Nasional Informatika: 195–201.
Kusrini & Emha Taufiq. 2009. Algoritma Data Mining. Ed. Theresia Ari Prabawati. Yogyakarta: C.V Andi Offset.
Romdon, Denih, And Iskhak Kholil. 2022. “Implementasi Data Mining Dengan Metode Apriori Dalam Menentukan Pola Pemilihan Pemeriksaan Kimia.” 2(10): 642–51.
Sibarani, Alexander J.P. 2020. “Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Meningkatkan Pola Penjualan Obat.” JATISI (Jurnal Teknik Informatika Dan Sistem Informasi) 7(2): 262–76.
Wanto, Anjar Et Al. 2020. Data Mining: Algoritma Dan Implementasi. Yayasan Kita Menulis.