Decision Support System and Recommendation on SBMPTN Try-Out with Analytic Hierarchy Process (AHP)

Abstract

Joint Selection of Public University Entrance (SBMPTN) is a path of new students’ admission in Public University (PTN) through the written selection test nationally with the number of participants that tend to increase every year. Based on the statistical data of SBMPTN in 2018, as many as 165,831 students had successfully passed SBMPTN in 2018. It showed that the students who passed were only about 19.28% of the total registrants that were 860.001 students. The high level competition faced to pass the SBMPTN causes so many students to improve their study such as joining the courses, taking part in SBMPTN try-out, and so on. It causes the participants have to determine the choices of PTN and Study Program appropriately to pass SBMPTN. This research was intended to create the system management of SBMPTN try-out which can be used to measure the participants’ skills as well as provide the information of the participants who passed the SBMPTN try-out on the study program chosen and give recommendation of several alternative study programs from other PTN that was processed by using Analytic Hierarchy Process method. The results of this study are to produce a web-based decision support system and recommendations using the AHP method that can be used by SBMPTN candidates to measure their abilities before participating in the actual SBMPTN.