Simulasi Metode Monte Carlo Untuk Memprediksi Jumlah Kunjungan Pasien Puskesmas Batang Kuis

Sindy Fitriani Margaret Sihaloho

doi:10.61132/mars.v2i3.160

Authors

Sindy Fitriani Margaret Sihaloho Universitas Negeri Medan

DOI:

https://doi.org/10.61132/mars.v2i3.160

Keywords:

Simulation, Monte Carlo, Patient

Abstract

Community Health Centers (Puskesmas) are the main place for the public to get basic health services. In certain conditions, the Health Center will receive visits from patients who arrive with the same number of origins at the same time. This has an impact on health services experiencing a decline and not maximizing the health of health workers in checking patients' health. So, comprehensive services are not obtained, and there are even patients who queue for too long. In order to minimize this occurrence, simulations are carried out to predict the number of possible visits that will occur in the future. The method used in this study is Monte Carlo. This research is intended so that the information provided by the Health Center related to the prediction of the number of patient visits that are likely to occur in the next year or in the future can be done validly and accurately. The data used is data on the number of patient visits in 2021, 2022, and 2023. As a result of this study, a prediction of the number of patient visits was obtained so that the Health Center could implement the next action that was useful for improving the quality of services needed

References

Alfamart, G., Sartika, D., Ginting, B., Novaliani, M., & Sembiring, B. (2021). Analisis Monte Carlo dalam Memprediksi Jumlah Penambahan. Jurnal Ilmu Komputer Dan Sistem Informasi, 3(3), 348–353. http://ejournal.sisfokomtek.org/index.php/jikom/article/view/138%0Ahttps://ejournal.sisfokomtek.org/index.php/jikom/article/download/138/132

Apri, M. (2019). Simulasi Monte Carlo Untuk Memprediksi Jumlah Kunjungan Pasien. Jursima, 7(2), 92. https://doi.org/10.47024/js.v7i2.176

Dendi Ferdinal, D. F., Defit, S., & Yunus, Y. (2020). Prediksi Bed Occupancy Ratio (BOR) Menggunakan Metode Monte Carlo. Jurnal Informasi Dan Teknologi, 3, 1–9. https://doi.org/10.37034/jidt.v3i1.80

Elma Peren, & Suyanto. (2023). Pengoptimalan Antrean Pelayanan Pasien Menggunakan Metode Monte Carlo di Puskesmas Labuhan Ruku Kabupaten Batubara. FARABI Jurnal Matematika Dan Pendidikan Matematika, 6(1), 20–24.

Ilham, W., Army, W. L., & Syafrinal, I. (2023). Pemodelan Monte Carlo Dalam Meramalkan Partisipasi Mahasiswa Dalam Perkuliahan. NJCA (Nusantara Journal of Computers and Its Applications), 8(2), 58. https://doi.org/10.36564/njca.v8i2.322

Lestari, P. A. I. (2022). Simulasi Monte Carlo Untuk Prediksi Jumlah Klaim Asuransi Di BPJS Ketenagakerjaan Cabang Bojonegoro. Jurnal Statistika Dan Komputasi, 1(2), 93–100. https://doi.org/10.32665/statkom.v1i2.1265

Lubis, R. (2022). Simulasi Jenis Penyakit Pasien yang Berobat Menggunakan Metode Monte Carlo. Jurnal Sistim Informasi Dan Teknologi, 4(2), 42–46. https://doi.org/10.37034/jsisfotek.v4i2.121

Mei Sedi, P., Hartami Santi, I., & Wulansari, Z. (2023). Prediksi Jumlah Permintaan Besi Di Toko Besi Lancar Menggunakan Simulasi Metode Monte Carlo. JATI (Jurnal Mahasiswa Teknik Informatika), 7(2), 1076–1081. https://doi.org/10.36040/jati.v7i2.6683

Muhazir, A. (2022). Penerapan Metode Monte Carlo Dalam Memprediksi Jumlah Penumpang Kereta Api (Studi Kasus : Pt.Kai Wilayah Sumatra). Journal of Science and Social Research, 5(1), 151. https://doi.org/10.54314/jssr.v5i1.825

Nandes, Y. T., Abiyus, W., Irwanda, A. A., & Juliani, F. (2024). Penerapan Metode Monte Carlo Dalam Memprediksi Jumlah Pengunjung Perpustakaan Universitas Lancang Kuning. ZONAsi: Jurnal Sistem Informasi, 6(1), 136–143. https://doi.org/10.31849/zn.v6i1.17317

Novalia, E., Na’, J., Nurcahyo, G. W., & Voutama, A. (2020). Website Implementation with the Monte Carlo Method as a Media for Predicting Sales of Cashier Applications. Systematics, 2(3), 118–131.

Prayoga, A. D., Tsabat, R. A. H., Syahidin, Y., & Herfiyanti, L. (2021). Perancangan Sistem Informasi Kunjungan Pasien Rawat Jalan di Rumah Sakit Muhammadiyah Bandung. EXPERT: Jurnal Manajemen Sistem Informasi Dan Teknologi, 11(2), 106. https://doi.org/10.36448/expert.v11i2.2142

Rafiska, R. (2022). Prediksi Jumlah Kunjungan Pasien Menggunakan Simulasi Monte Carlo. Journal of Computer System and Informatics (JoSYC), 3(3), 141–146. https://doi.org/10.47065/josyc.v3i3.1690

Simangunsong, A. (2023). Penerapan Metode Monte Carlo Dalam Simulasi Pengelolaan Persediaan Alat Tulis Kantor. Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika Dan Komputer), 22(2), 280. https://doi.org/10.53513/jis.v22i2.8718

Sukiastini, I. G. A. N. K. (2023). Simulation Technique in Determining Student Attendance Using the Monte Carlo Method. IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 17(2), 217–226. https://doi.org/10.22146/ijccs.83891

Syaputra, A. E. (2023). Akumulasi Metode Monte Carlo dalam Memperkirakan Tingkat Penjualan Keripik Sanjai. Jurnal Informatika Ekonomi Bisnis, 5, 209–216. https://doi.org/10.37034/infeb.v5i1.222

Syaputra, A. E., & Eirlangga, Y. S. (2022). Prediksi Tingkat Kunjungan Pasien dengan Menggunakan Metode Monte Carlo. Jurnal Informasi Dan Teknologi, 4(2), 97–102. https://doi.org/10.37034/jidt.v4i2.202

Wayan Ayu Megantari, N., Nyoman Purnama, I., Istri Ita Paramitha, A., Sistem Informasi, J., Primakara, S., Teknik Informatika, J., & Tukad Badung, J. (2020). Model Sistem Informasi pada Puskesmas Pembantu Pejukutan Berbasis Web Menggunakan Framework Codeigniter. Jutisi: Jurnal Ilmiah Teknik Informatika Dan Sistem Informasi, 9(1), 1–10. http://ojs.stmik-banjarbaru.ac.id/index.php/jutisi/article/view/434

Yomei Hendra, Eko Syaputra, A., & Putra Juledi, A. (2023). Simulasi Dalam Pengoptimalan Peningkatan Penjualan Kue Kareh-Kareh Menggunakan Metode Monte Carlo. 107 |Journal Computer Science and Information Technology(JCoInT) Program StudiTeknologiInformasi, FakultasSains&Teknologi, UniversitasLabuhanbatu, 1, 107–118. http://jurnal.ulb.ac.id/index.php/JCoInT/index