Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Vol. 3 No. 3 (2024): June 2024

Prediction of the Number of New Student UnregistrationBased on Mamdani

Aries, Aries Setiawan (Unknown)
Wahid, Achmad Wahid Kurniawan (Unknown)
Retno, Retno Astuti Setijaningsih (Unknown)
Ida, Ida Farida (Unknown)
Budi, Budi Widjajanto (Unknown)
Jaka, Jaka Prasetya (Unknown)
Andi, Andi Hallang Lewa (Unknown)
Maria, Maria Safitri (Unknown)



Article Info

Publish Date
15 Jun 2024

Abstract

One of the annual routine events carried out by a private university is the admission of new students (PMB). From a number of prospective students who register, there are usually a number of students who unregister or cancel registration. Several factors for unregistration of new students are (1) acceptance of state universities, the interest of prospective students to study at state universities is still high, (2) there are doubts about the study program chosen by students, (3) Inadequate ability to pay. Some of the above factors must be taken seriously so that there is no decrease in the number of registrations. The mamdani method is one of the calculation methods that can be used to predict the number of new student registrations, with 4 main stages, namely creating fuzzy sets, implementing implication functions, applying rules and regulations, and affirming. Prediction of unregistration using the Mamdani method will make it easier for academics, in this case the academic bureau, to find solutions to reduce the number of unregistration itself.

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Journal Info

Abbrev

JAIEA

Publisher

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering

Description

The Journal of Artificial Intelligence and Engineering Applications (JAIEA) is a peer-reviewed journal. The JAIEA welcomes papers on broad aspects of Artificial Intelligence and Engineering which is an always hot topic to study, but not limited to, cognition and AI applications, engineering ...