Satisfaction Level of BPJS Kesehatan Participants Using the C4.5 Algorithm
Abstract
Patient satisfaction is an important thing in a hospital service. The level of patient satisfaction can be a reference for improving service to patients. Satisfaction is the level of feelings that arise as a result of the performance of the service received after comparing it with what is expected. This study aims to measure the level of satisfaction of inpatient BPJS Kesehatan participants with the services provided by the Special Hospital for Mother and Children (RSKIA) Annisa Payakumbuh in terms of five attributes, namely Tangibles (Real Form), Reliability, Assurance, Responsiveness (Responsiveness) and Empathy (Empathy). To measure the level of patient satisfaction at RSKIA Annisa Payakumbuh used data mining method of Classification Algorithm C4.5 which is one of the most effective Decision tree algorithms for classification. The data were obtained from the summary of the results of the BPJS Kesehatan inpatient patient satisfaction survey at RSKIA Annisa Payakumbuh. Furthermore, the data will be processed using the C4.5 algorithm which will produce rules and Decision trees. The results of data processing using the C4.5 Algorithm obtained Responsiveness as the root variable and resulted in 8 rules with 3 satisfied rules and 5 unsatisfied rules. Based on the results of this study, it can be concluded that the use of the C 4.5 Algorithm Decision tree can be used to measure the level of satisfaction of BPJS Kesehatan inpatients at RSKIA Annisa Payakumbuh. The results of this study are expected to help the RSKIA Annisa in making policies to improve services for patients.
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Setyawan , F. E. B. (2020). Gambaran Karakteristik dan Kepuasan Peserta BPJS Kesehatan dalam Pemanfaatan Pelayanan Kesehatan di FKTP Kota Malang. ARTERI : Jurnal Ilmu Kesehatan, 1(3), 248-254. https://doi.org/10.37148/arteri.v1i3.103
Wahyuni, Sri. (2018). Implementation of Data Mining to Analyze Drug Cases Using C4.5 Decision tree. Journal of Physics: Conference Series. 970. 012030. 10.1088/1742-6596/970/1/012030.
Hicham Moad, Safhi & Frikh, Bouchra & Ouhbi, Brahim. (2019). Assessing Rliability of Big Data Knowledge Discovery process. Procedia Computer Science. 148. 30-36. 10.1016/j.procs.2019.01.005
Indra, Evta & Ho, Kevin & Arlinanda, & Hakim, Ridho & Sitanggang, Delima & Sihombing, Oloan. (2019). Application of C4.5 Algorithm for Cattle Disease Classification. Journal of Physics: Conference Series. 1230. 012070. 10.1088/1742-6596/1230/1/012070.
Ramadhan, et al. (2020). Penerapan Data Mining Menggunakan Algoritma C4.5 Dalam Mengukur Tingkat Kepuasan Pasien BPJS. Prosiding Seminar Nasional Riset Dan Information Science (SENARIS) 2020 Vol. 2, Juli (2020), pp. 376-385. http://dx.doi.org/10.30645/senaris.v2i0.185
Neto, Cristiana & Peixoto, Hugo & Abelha, Vasco & Abelha, António & Machado, José. (2017). Knowledge Discovery from Surgical Waiting lists. Procedia Computer Science. 121. 1104-1111. 10.1016/j.procs.2017.11.141.
Wang, X. & Zhou, C. & Xu, X.. (2019). Application of C4.5 decision tree for scholarship evaluations. Procedia Computer Science. 151. 179-184. 10.1016/j.procs.2019.04.027.
Hendrian, Senna. (2018). Algoritma Klasifikasi Data Mining Untuk Memprediksi Siswa Dalam Memperoleh Bantuan Dana Pendidikan. Faktor Exacta. 11. 10.30998/faktorexacta.v11i3.2777.
Ramadhan, et al. (2020). Penerapan Data Mining Menggunakan Algoritma C4.5 Dalam Mengukur Tingkat Kepuasan Pasien BPJS. Prosiding Seminar Nasional Riset Dan Information Science (SENARIS) 2020 Vol. 2, Juli (2020), pp. 376-385. http://dx.doi.org/10.30645/senaris.v2i0.185
Aldi, F., & Rahma, A. (2019). University Student Satisfaction Analysis on Academic Services by Using Decision tree C4.5 Algorithm (Case Study : Universitas Putra Indonesia “YPTK” Padang). J. Phys.: Conf. Ser. 1339 012051. http://dx.doi.org/10.1088/1742-6596/1339/1/012051
Hanafi, Mutiafani. (2019). Gambaran Tingkat Kepuasan Peserta Badan Penyelenggara Jaminan Sosial (Bpjs) Kesehatan Tentang Pelayanan Administrasi Kepesertaan Di Bpjs Kesehatan Kantor Cabang Utama (Kcu) Bandung. Jurnal Teras Kesehatan. 2. 14-25. 10.38215/jutek.v2i1.27.
Desyanti, Desyanti. (2019). Penerapan Data Mining Algoritma C4.5 untuk Mengetahui Tingkat Kepuasan Konsumen di Hotel Grand Zuri Dumai. SATIN - Sains dan Teknologi Informasi. 4. 36. 10.33372/stn.v4i2.403.
Alawiah, R. H., Saifullah & Damanik, I. S., (2021). Analisis Kepuasan Konsumen Terhadap Pelayanan Bengkel Menggunakan Metode Algoritma C4.5. Jurnal Penerapan Sistem Informasi (Komputer & Manajemen) Vol. 2, No. 1, Januari (2021), pp. 31-38. https://doi.org/10.30645/kesatria.v2i1.55
Pribadi, E, S, Poningsih & Tambunan, H. S. (2020). Analisa Tingkat Kepuasan Masyarakat Terhadap Pelayanan Pengadilan Agama Pematangsiantar Menggunakan Algoritma C4.5. Jurnal Penerapan Kecerdasan Buatan Vol. 2, No. 1, Desember (2020), pp. 33-40. https://doi.org/10.30645/brahmana.v2i1.46
Adelia, Fanny & Suhada, Suhada & Dewi, Rafiqa. (2019). Penentuan Tingkat Kepuasan Pasien BPJS Terhadap Kualitas Pelayanan di Rumah Sakit dengan Menggunakan Algoritma C4.5. Prosiding Seminar Nasional Riset Information Science (SENARIS). 1. 472. 10.30645/senaris.v1i0.53.
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