ANALYSIS OF HIGH SCHOOL SUBJECT SELECTION PATTERNS AT "A" TUTORING INSTITUTIONS USING THE APRIORI ASSOCIATION METHOD
Keywords:
Apriori, Association, Data Mining, SubjectsAbstract
In the face of fierce competition to enter college, students often seek support from tutoring institutions to strengthen their learning abilities. However, LBB has limitations in providing learning programs. To understand students' preferences in choosing subjects, data mining methods can be used, which is the process of gathering information from large databases with statistical, mathematical, and artificial intelligence techniques. This research uses data from 40 students as samples that will be analyzed using the Apriori Association method. The search for support values is limited to three sets of elements because no combination meets the minimum support value requirement, so the procedure is stopped. The search for confidence values is carried out using a combination of two sets of potential items (L2). There are three association rules that can be useful for understanding students' preferences in choosing subjects. The first rule is "If you choose Math, you will choose English" with a confidence of 0.6, the second rule is "If you choose English, you will choose Math" with a confidence of 0.6, and the third rule is "If you choose Biology, you will choose Mathematics" with a confidence of 0.70. The results of the analysis in this study can be applied by Tutoring Institution "A" in the future to develop programs that are suitable for deepening the understanding of certain subjects.
References
NT Romadhona et al. , "Improving the Quality of Education through Tutoring," Journal of Community Service and Engagement (JOCOSAE) , vol. 2, no. 6, pp. 18–23, 2022.
R. Priyasmika, A. Alfan, and RS Rohmah, "SBMPTN Study Tutoring for Class XII Students of Sukodadi State High School," Ta'awun: Journal of Community Service , vol. 2, no. 2, pp. 142–150, 2022.
P. Rahmadi, KPS Dirgantoro, T. Listiani, and EB Nababan, "Improving Student Mathematics Learning Outcomes Through Online Tutoring in Tenjo," Jurnal Abdimas PHB , vol. 6, no. 2, pp. 522–528, 2023.
I. Paramika, IW Dharmayana, and I. Sulian, "Comparison of Student Learning Motivation Between Learning Through Face-to-Face Tutoring and Learning Through Online Tutoring with the Bengkulu City State High School Teacher Room Application," CONSILIA BK Scientific Journal , vol. 5, no. 1, pp. 89–98, 2022.
E. Susilowati, "SNBT Online Tutoring for High School Students at Latis Education Tutoring," Community Development Journal , vol. 4, no. 4, pp. 9090–9094, 2023.
P. Wibawa Rahayu et al. , Data Mining Textbook . Jambi: PT. Sonpedia Publishing Indonesia, 2024.
A. Wanto et al. , Data Mining: Algorithms and Implementation . Medan: Kita Write Foundation, 2020.
Y. Mustika et al. , Data Mining and its Applications . Bandung: Widina Bhakti Persada Bandung, 2021.
D. Sitanggang, Apriori Algorithm . Medan: Unpri Press, 2023.
A. Anas and B. Darma, "Association Algorithm to Get Patterns of Selected Courses at STIE-GK Muara Bulian," Journal of Edik Informatics , vol. 6, no. 1, pp. 1–12, 2019.
A. Winyo, Trisno, and T. Kurra, "Analysis of the Association's Algorithm for Choosing the Title of Stella Maris Sumba Stimkom Thesis Students," Multidisciplinary Indonesian Center Journal (MICJO) , vol. 1, no. 1, pp. 404–411, 2024.
H. Indriyawati, Khoirudin, and E. Widodo, "Application of Association Rules with the Apriori Algorithm for Predicting Course Scheduling," Scientific Journal of Information and Communication Technology (JTIK) , vol. 12, no. 2, pp. 42–47, 2021.
FS Sasonoputri and R. Wahyusari, "Application of the Apriori Algorithm to Find Book Borrowing Patterns in Libraries," SIMETRIS , vol. 16, no. 1, pp. 17–23, 2022.
J. Han, Hanghang Tong, and J. Pei, Data Mining: Concepts and Techniques , 4th ed. Waltham: Elsevier, 2022.
NLWSR Ginantra et al. , Data Mining and Application of Algorithms . Denpasar: Kita Write Foundation, 2021.
F. Sulianta, Basic Data Mining from A to Z. Bandung, 2024.
RP Karina, S. Lestanti, and F. Febrinita, "Application of the Apriori Algorithm in the Selection of Majors for Prospective New Students at SMAK Diponegoro Blitar," JATI (Informatics Engineering Student Journal) , vol. 6, no. 2, pp. 716–724, 2022.
F. Andriani, V. Sihombing, and AP Juledi, "Development of a Web-Based Application for Mining Association Patterns Using Apriori Methods," Journal of Computer Science and Information Systems (JIKOMSI) , vol. 7, no. 1, pp. 70–74, 2024.
I. Wahyuni, Maison, and H. Pathoni, "Analysis of Students' Interest in Learning in Physics Subjects at SMA Negeri 2 Jambi City," Physics and Science Education Journal (PSEJ) , vol. 1, no. 1, pp. 22–28, 2021.
RR Dalimunthe, RD Harahap, and DA Harahap, "Analysis of Elementary School Students' Learning Interest in Science Subjects During the Covid-19 Pandemic," BASICEDU Journal , vol. 5, no. 3, pp. 1341–1348, 2021.
C. Sarah, IN Karma, and ANK Rosyidah, "Factors that Influence Students' Interest in Learning in Mathematics Subjects in Cluster III Cakranegara," Education Progress , vol. 2, no. 1, pp. 13–19, 2021.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Mustaqim, Emalia Saqila, Agus Iskandar
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
