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All Journal Seminar Nasional Teknologi Informasi Komunikasi dan Industri Applied Information System and Management Jurnal Informasi dan Komputer TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Computer Science and Information Technology (CoSciTech) Bulletin of Computer Science Research
Alwis Nazir
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Other

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IMPLEMENTASI ALGORITMA FOLD-GROWTH UNTUK MENEMUKAN POLA KELULUSAN MAHASISWA Muhammad Hasbi Assidiqqi; Alwis Nazir; Iwan Iskandar; Jasril Jasril; Fitri Insani
TEKTRIKA Vol 7 No 2 (2022): TEKTRIKA Vol.7 No.2 2022
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v7i2.5530

Abstract

Timely graduation of students is important for a study program and higher education institution. According to BAN-PT Regulation Number 23 of 2022 concerning Instruments for Monitoring and Evaluation of Higher Education Accreditation Ratings, the ideal percentage of student graduation on time is ? 37.5% for academic tertiary institutions and ? 47.5% for vocational tertiary institutions. The timely graduation of Informatics Engineering Study Program students at UIN Sultan Syarif Kasim Riau every year is still below the standards set by BAN-PT. In 2021 the number of students who graduate on time is only 12%. By using student data in the form of acceptance and graduation data in the form of length of study and GPA, excavation of graduation patterns is carried out using the FOLD-Growth algorithm. The FOLD-Growth algorithm is a combined algorithm of FOLDARM and FP-Growth. With 274 student data, a minimum support value of 20%, and a minimum confidence of 50%, it produces two patterns with the strongest lift ratio value of 3.61, while with a minimum support of 10% and a minimum confidence of 50%, it produces three patterns. with the strongest lift ratio of 7.03. The results of this study can be used as a guideline for increasing student graduation rates on time, by providing a larger intake quota for new students on a pathway that results in on-time graduation, so that it will increase student graduation on time. Key Words: Student graduation, Association Rule, lift ratio, FOLD-Growth, FP-Growth
Co-Authors Aminuyati Elin Haerani Elvia Budianita Fadhilah Syafria Fitri Insani Iis Afrianty Iwan Iskandar Jasril Jasril Lia Anggraini M Fikry Muhammad Alvin Muhammad Fikry Muhammad Habib Nazlis Muhammad Hasbi Assidiqqi Muhammad Ichsanul Bukhari Nailatul Fadhilah Nuradha Liza Utami Pizaini Pizaini Putri Mardatillah Rahmad Kurniawan Rio Fernando Silvi Ana Sukma Evadini Teddie Darmizal Wenny Tarisa Oktaviany