Fuzzy Decision Support System for ABC University Student Admission Selection

Abstract

New Student Admission (PMB) is a pattern for selecting prospective students. Every year, every University conducts PMB selection, and new student admissions are divided into numerous tracks: the Independent Path. The Basic Competency Exam, TOEFL Prediction, and interviews are commonly used in this selection process. So far, the registrant data has been manually sorted in the selection process. A system that can help determine prospective new students will be required since many student data will be picked for PMB. Because of the system's assistance, universities can make the selection process more effective. The method used in this study to implement a PMB decision system is Fuzzy Mamdani. The method in this study has a sequence of stages: first doing fuzzification, second using inference evaluation rules that have been determined, and finally, defuzzification to get the final results of the calculations. This system was tested by comparing the system's results to the actual results obtained according to the design. The system testing results received a 96 percent approval rating. As a result, the University's new student admissions system can be used to help streamline the formerly manual selection process.

Fuzzy model for assessing acquired competencies

“…The use of fuzzy logic to assess complex units is an alternative solution and can be applied to assess competencies using logical variables. Fuzzy logic tools have already been successfully used to solve complex problems, such as making administrative decisions in a university or selecting the best students [20]. It is also important to consider the adaptability of the designed systems to the online environment.…”

“…Since Fuzzy theory was introduced [35], Fuzzy logic is seen as a useful approach for dealing with ambiguity and uncertainty, and it has been successfully used in a variety of industries. Fuzzy Inference Systems (FIS) have been widely used by scholars in particular in the field of Decision Support Systems, and some scholars [23,24,28,31] have also used a Fuzzy logic approach to deal with students' degree of preparation assessment, so in this research it is been decided to explore FIS for the assessment the students' competencies as described.…”

Optimization Detection of Skin Cancer using Deep Learning

“…The system testing results received a 96 percent approval rating. As a result, the University's new student admissions system can be used to help streamline the formerly manual selection process [11].…”

A Predictive Model That Aligns Admission Offers with Student Enrollment Probability

“…Another study reviewed and compared various machine learning techniques used for university admission predictions [5]. A fuzzy logic for an intelligent and automated decision support system to assess a student's eligibility for admission to a specific university was proposed in another paper [6], which compared the testing results and received a 96% approval rate.…”