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All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Seminar Nasional Teknologi Informasi Komunikasi dan Industri JURNAL INSTEK (Informatika Sains dan Teknologi) KOMPUTIKA - Jurnal Sistem Komputer TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Jurnal Computer Science and Information Technology (CoSciTech) Bulletin of Computer Science Research
Fitri Insani
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences

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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 Alwis Nazir Damayanti, Elok Eggy P Elin Haerani Elvia Budianita Frica A Ambarwati Iis Afrianty Iwan Iskandar Jasril Jasril M Fadhli Ihsan MHD Ade Setiawan Muhammad Habib Nazlis Muhammad Hasbi Assidiqqi Novi Yanti Nuradha Liza Utami Okfalisa Okfalisa Okfalisa saktioto Pizaini Pizaini Purnama, Nilam Rahmad Abdillah SURYA ADITYA GD Suwanto Sanjaya Syarifatun Nissa Wenny Tarisa Oktaviany Yelfi Vitriani Yelvi Fitriani Yusra