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All Journal Journal of Vocational Education and Information Technology (JVEIT)
Sapriadi, Sopi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Mechanical Engineering

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Prediction of the Number of New Students in the Information Systems Study Program at Adzkia University Using the Monte Carlo Method: Prediksi Jumlah Mahasiswa Baru Program Studi Sistem Informasi Universitas adzkia Menggunakan Metode Monte Carlo Prima, Wahyu; Eko Syaputra, Aldo; Sapriadi, Sopi; Septi Eirlangga , Yofhanda; Hariani Manurung, Kiki; Hayati, Nova
Journal of Vocational Education and Information Technology (JVEIT) Vol. 5 No. 1 (2024): Vol. 5 No. 1 (2024): JVEIT
Publisher : Lembaga Pengembangan dan Inovasi Universitas Dharmas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56667/jveit.v5i1.1458

Abstract

This research aims to predict the number of new students in the Information Systems Study Program at Adzkia University using the Monte Carlo method. The Monte Carlo method was chosen because of its ability to handle variability and uncertainty in historical student enrollment data. The data used in this research is data on students who registered from any pathway during the last 3 years. The simulation process is carried out by creating a probabilistic model from historical data and iterating until a prediction distribution is obtained. The research results show that the Monte Carlo method provides fairly accurate estimates of student predictions for the following year, namely (numbers) which can be used for strategic planning for new student admissions in the future. In conclusion, the use of the Monte Carlo method can be an effective tool in predicting the number of new students and assisting universities in making better decisions regarding student admissions.
Co-Authors Aldo Eko Syaputra Dari, Rahmatia Wulan Hariani Manurung, Kiki Hayati, Nova Prima, Wahyu Syaputra, Aldo Eka Yofhanda Septi Eirlangga