INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 9, ISSUE 02, FEBRUARY 2020 ISSN 2277-8616 2360 IJSTR©2020 www.ijstr.org Recommender System For High School Selection Based On Apriori Method Herman Yuliansyah, Desita Putri Niranda, Ika Arfiani Abstract: High school selection is a process to choose the best schools that appropriate for prospective students based on their competence and skills. Most prospective students cannot determine the appropriate school selection because students need guidance and consult with their Guidance and Counseling teacher to get advice. Later, most researchers focus on the implementation of data mining to analyze the student data of high education, namely university or polytechnic, so this research conduct to find for previous data patterns. The main objective of this research is to propose a recommender system to select the appropriate schools based on the apriori method in data mining. The recommender system considers previous knowledge from the dataset and extracts the dataset to be training data, then using the apriori method to determine the schools‘ selection. The recommender system is implemented in a web-based system. The web-based system evaluates using the system usability scale to get the user response based on user experiences and user-friendliness. Index Terms: Recommender system, educational data mining, high school selection, association rules mining, apriori method. ——————————  —————————— 1. INTRODUCTION SCHOOLS selection is a critical phase that affects the future of the prospective student. The education purpose is to develop the potential of students through the learning process under teacher supervision. Furthermore, students must register in the formal education system, which is compulsory. At present, the known formal education system includes primary school education, junior high school education, senior high school and the higher education system. Then, senior high schools consist of senior high schools and vocational high schools. The selection of the right school is an important issue to ensure a prospective student can register in the right school following the character of the prospective student's competence. Based on the results of a survey conducted for junior high school students, 60% of students are still unable to determine in the selection of high school. This phenomenon is because students have not been able to decide which school is following their potential whereas the selection of the right school following the potential of students can support the ability of students' development in the future. So students need to discuss asking for guidance from the Guidance and Counseling teacher. Guidance and Counseling teachers guide students by looking at the academic grades of grades 7,8,9, non-academic values include the achievements of these students. However, the recommendations given are not made to all students but only to students who ask BK teachers to get recommendations or directions for the selection of high school level. This phenomenon has the potential to develop a recommendation system because it is a tool for selecting schools. In previous research, we have conducted a study on data mining implementation to analyse alumni data[1] and student data[2][3] in high education, in addition to analysing health domain data[4][5][6]. Data mining in education has an essential impact to extract meaningful information[7][8] and improve the quality of learning process[9]. Later, association rules mining as part of data mining techniques also have wide implemented to analyse high schools students. Reff [10] propose course recommender system to predict the best courses combination that selected by students. Furthermore, student academic success can evaluate by predicting the final placement of student based on mark score of the previous semester. Moreover, data mining also used to analyse the relationships among student‘s behavioural and student success to develop the model of student performance predictors[11]. Another student performance is used to analyse the performance of undergraduate students study[9]. The analysed results are to prevent the risk of the student to get drop-out[12] then reduce the drop out ratio to better levels[13]. Association rules mining, clustering and classification, are the popular technique in data mining[14]. Most of the researcher focus on data mining for high education by analyzing inside the academic databases nor outside the academic[15]. So this research was conducted to search for patterns of recommendation for the selection of senior high schools using the association method and then implemented into a web- based system. The web-based system developed using python programming and MySQL database. Later, the junior high school and Guidance and Counseling teacher are the users of the web-based system. The recommendation consider several aspects, namely academic achievements and non-academic, which includes achievements in the fields of religion, sports, and science. This article organised in four sections: Section 2 is the proposed recommender system, section 3 is methodology research, section 3 is result and discussion based on experiment results, and section 4 is conclusions. 2 PROPOSED RECOMMENDER SYSTEM The proposed recommender system consist of several part, ————————————————  Herman Yuliansyah, Informatics Departments, Universitas Ahmad Dahlan, Indonesia. E-mail: herman.yuliansyah@tif.uad.ac.id (Corresponding Author)  Desita Putri Niranda, Alumni Informatics Departments, Universitas Ahmad Dahlan, Indonesia. Email: desita1500018190@webmail.uad.ac.id  Ika Arfiani, Informatics Departments, Universitas Ahmad Dahlan, Indonesia. Email: ika.arfiani@tif.uad.ac.id Fig. 1. Proposed Recommender Systems Based on Apriori