Knowbase : International Journal of Knowledge in Database
Vol. 4 No. 1 (2024): June 2024

Design of a Predictive Model for Prospective New Students Using Monte Carlo Simulation

Paramita, Dela (Unknown)
Efriyanti, Liza (Unknown)
Zakir, Supratman (Unknown)
Imamuddin, M. (Unknown)



Article Info

Publish Date
30 Aug 2024

Abstract

The competition between universities in the admission of new students is becoming increasingly intense, making it more difficult for the public, especially prospective students, to choose a study program. The Department of Hadith Sciences at UIN Syech M. Djamil Djambek Bukittinggi has fewer applicants compared to other departments due to the limited interest of prospective students in enrolling. In response to this issue, the author developed a Monte Carlo simulation predictive model that allows prospective students to estimate the number of applicants to the Department of Hadith Sciences for the upcoming academic year. The research technique employed in this study uses Monte Carlo simulation to apply this research. The number of students in the Department of Hadith Sciences who enrolled from 2019 to 2023 serves as the data used to predict the number of new student registrations. The accuracy of the simulation in estimating the number of new students who will enroll in the Department of Hadith Sciences is 218 students, with an average annual accuracy of 65.1%. By applying the Monte Carlo method, it is possible to predict the number of students who will enroll in the Department of Hadith Sciences with a relatively high level of accuracy in its application

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Journal Info

Abbrev

ijokid

Publisher

Subject

Computer Science & IT

Description

Knowbase : International Journal of Knowledge in Database is a peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia to ...