Case Based Reasoning untuk Rekomendasi Bidang studi Berdasarkan Karakteristik Siswa Menggunakan Algoritma Probabilistic Symmetric
DOI:
https://doi.org/10.53863/juristik.v1i02.349Abstract
Abstract
The field of study is a unified clump of knowledge that is intended so that students can master skills, knowledge according to the target. Recommendations for fields of study based on student characteristics are used as alternatives for high school students (SMA) when they want to continue to college. One solution that can be done is to develop a system to determine the field of study.
When students are expelled from college due to several factors, usually these factors are in the form of not understanding the courses taken or being inactive for several semesters, usually students will drop out. To reduce this before students continue to college, it would be nice to consult about the field of study that will be a solution to enter college. The main purpose of this article is to help students find out the field of study that suits the student's characteristics. Recommendations for fields of study using the Case Based Reasoning method using a probabilistic symmetric algorithm will analyze based on the characteristics of students and recommendations for fields of study to users.
The results of this study are as follows: 1) a system using the Case Based Reasoning method of the symmetric Probabilistic algorithm as a tool to strengthen the recommended solution for the field of study. 2) Parameters are determined by observation, interviews and documentation studies, the parameters determining the decision of the field of study recommendations based on the characteristics of students. 3) The results of the recommendations for the field of study in this study found that Mathematics and Natural Sciences had 90% similarity, Health Sciences had 29% similarity and Medical Sciences had 53% similarity, so that in this study the field of study that became the solution for users was Mathematics and Natural Sciences with 90% similarity percentage.
Keywords: Field of study, Case Based Reasoning, Probabilistic Symmetric