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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Informatika Jurnal Informasi dan Teknologi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Majalah Ilmiah UPI YPTK Journal Of Human And Education (JAHE) Journal of Vocational Education and Information Technology (JVEIT) J-Icon : Jurnal Komputer dan Informatika JOURNAL OF COMMUNITY SERVICE AND APPLICATION SCIENCE (JCSAS) JCSE: Journal of Community Service and Empowerment Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Yofhanda Septi Eirlangga
Universitas Adzkia
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Other

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Peningkatan Pelayanan Laboratorium Dengan Memprediksi Kedatangan Pasien Menggunakan Metode Monte Carlo Eko Syaputra, Aldo; Eirlangga, Yofhanda Septi; Sapriadi, Sopi
JURNAL FASILKOM Vol. 13 No. 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.6242

Abstract

The number of patient visits to the laboratory is unstable sometimes decreasing and increasing, when the increase in the number of visits to the laboratory makes everything disrupted because the number of patients who come is not proportional to the staff who are working / assigned at that time in the laboratory. So that some patients do not even get thorough service and even some patients wait too long in the queue. This causes services in the laboratory to be hampered, disrupted and become less than optimal. So the laboratory must be able to overcome this problem by knowing the number of visits to the laboratory in the future. So the researchers conducted this study with the aim of providing accurate information regarding the prediction of the number of patient arrivals to the laboratory with the application of the Monte Carlo Method. This method is a method that is often used to solve problems that are often related to uncertainty. The data used in this study is the last 3 years of patient arrivals to the laboratory with the frequency of arrivals from January to December. The results of this research are compacted accuracy of 87% in 2020 and 91% in 2021. So that the laboratory can take action on services in the future and make this research as a reference material.
Co-Authors Aldo Eko Syaputra Alima Shofia Ashim Madani, Muhammad Ayun, Aisyah Qurrata Devi Gusmita Fajar Maulana Hariani Manurung, Kiki Hayati , Nova Hayati, Nova Hendra, Yomei Kiki Hariani Manurung Kiki Hariani Manurung Manurung, Kiki Hariani Maulana, Fajar Mufid, Muhammad Fauzan Muhammad Fauzan Mufid MUHAMMAD THORIQ Muhammad Thoriq Nurul Hasanah Prima, Wahyu Rahmadhani, Firda Ranti Mustika Putri SAKINAH, PUTRI Sapriadi, Sopi Silky Selfira Sopi Sapriadi Thoriq, Muhammad Ulya Mega Wahyuni Yomei Hendra