Implementation of the Rough Set Method on Diseases Often Complained of by Patients (Case Study: RSU Raskita)
Keywords:
Rough Set Method , Diseases, Handling PrioritiesAbstract
The development of medical technology requires hospitals to be more efficient in providing services, especially in terms of handling diseases that are often complained about by patients. This study aims to identify disease patterns that often appear in Raskita Hospital and provide appropriate treatment priorities based on patient characteristics. Using the Rough Set method, patient data such as age, disease type, and severity are analyzed to find relationships between attributes and determine treatment priorities. This study uses data on diseases that are often complained about by patients at Raskita Hospital in 2023-2024. Diseases such as Dengue Hemorrhagic Fever (DHF), Acute Respiratory Tract Infection (ARI), and Gastroenteritis are identified as diseases that often appear in different age groups, with toddlers and the elderly tending to get higher priority in treatment. By applying the Rough Set method, the decision-making process becomes more effective, especially in determining patient priorities and simplifying complex medical data. The results of the study show that the grouping of attributes based on age range, type of disease, and severity can improve the quality of hospital services. Raskita Hospital can optimize medical resources and provide more appropriate and efficient treatment for patients, especially in dealing with diseases that are often complained about.
References
Anggraini, Tifanny, and Melda Panjaitan. "Penerapan Metode Rough Set Untuk Persediaan Obat-Obatan Di RSUP Haji Adam Malik Medan." JURIKOM (Jurnal Riset Komputer) 5.2 (2018): 176-184.
BKPP Kutim. (2024). Rumah Sakit Umum Raskita. BKPP Kutim. https://bkppkutim.com/rumah-sakit-umum-raskita-4733390966001265571/
Beny, I. "Analisis Kinerja Metode Rough Set Dan Algoritma Apriori Dalam Identifikasi Pola Penyakit Demam Tifoid." Fakultas Ilmu Komputer dan Teknologi Informasi, Universitas Sumatera utara, Medan (2016).
Chapman, Pete, et. al. 2000. CRSIP-DM v.10 Step-by-step data mining guide. SPSS Inc.
Han, J., & Kamber, M. (2006). Classification And Prediction. Data Mining: Concepts And Techniques, 2006, 347-350.
Hermawati, F. A., & Fitriani, I. (2014, April). Association-Rule Analysis Application For Courses Scheduling. In Seminar On Intelligent Technology And Its Applications, SITIA.
Kerzner, H. (2013). Project Management: Case Studies. John Wiley & Sons.
Maidarli, Fitri. Sistem prediksi stok obat dengan menggunakan metode rough set (studi kasus: Apotek x bangkinang-riau). Diss. Universitas Islam Negeri Sultan Syarif Kasim Riau, 2011.
Mustafa, M. S., Ramadhan, M. R., & Thenata, A. P. (2018). Implementasi Data Mining Untuk Evaluasi Kinerja Akademik Mahasiswa Menggunakan Algoritma Naive Bayes Classifier. Creative Information Technology Journal, 4(2), 151-162.
Oktasari. (2015). Implementasi Kepmen Pan No. 63 Tahun 2003 Tentang Pedoman Umum 107 Penyelenggaraan Publik Di Kantor Kecamatan Sepaku Kabupaten Penajam Paser Utara. Journal Ilmu Pemerintahan, 3(2), 2015: 1339-1353
Ridwan, M., Suyono, H., & Sarosa, M. (2013). Penerapan Data Mining Untuk Evaluasi Kinerja Akademik Mahasiswa Menggunakan Algoritma Naive Bayes Classifier. Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 7(1), 59-64.
Setiawan, D., & Alhafiz, A. (2019). Implementasi Sensor TCS200 Pada Rancang Bangun Alat Filter Buah Jeruk Busuk Menggunakan Teknik Counter Berbasis Microcontroller. Jurnal Cyber Tech, 2(6).
Sofiyan, Amat, and Ahmedika Azkiya. "Penerapan Metode Rough Set Menganalisis Penyakit Yang Sering Dikeluhkan Pasien (Studi Kasus Puskesmas Jaya Mukti Dumai)." Informatika 14.1 (2022): 31-40.
Sunardi, S., Fadlil, A., & Kusuma, N. M. P. (2022). Implementasi Data Mining dengan Algoritma Naïve Bayes untuk Profiling Korban Penipuan Online di Indonesia. Jurnal Media Informatika Budidarma, 6(3), 1562-1572
Turban, E., & Aronson, J. E. (2005). Ting-Peng Liang. Decision Support Systems And Intelligent Systems 7th Ed. Upper Saddle River.
Yulianti, W. (2016). Metode Rough Set Untuk Menganalisa Problematika Guru Dalam Menggunakan Media Pembelajaran Berbasis Komputer. Rabit: Jurnal Teknologi Dan Sistem Informasi Univrab, 1(1), 19-25.
