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All Journal Media Statistika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI MUST: Journal of Mathematics Education, Science and Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics Jurnal Varian Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) Jambura Journal of Biomathematics (JJBM) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Griya Journal of Mathematics Education and Application Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Muhammad Rezky F. Payu
Department Of Mathematics, FMIPA, Gorontalo State University
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Journal : Jambura Journal of Mathematics

 1 
Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa Akor, Umar D.; Payu, Muhammad Rezky Fiesta; Nashar, La Ode
Jambura Journal of Mathematics Vol 7, No 1: February 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v7i1.27978

Abstract

The issue of delayed graduation is often encountered in various universities, including in the Statistics Study Program at Universitas Negeri Gorontalo, for graduates between 2018 and 2023. Among them, 162 students (76.5%) experienced delayed graduation, and 5 students (2.35%) dropped out. This delay in graduation is caused by various factors, necessitating a classification method capable of identifying the most dominant factors. The classification method used in this research is Improved Chi-Square Automatic Interaction Detection (I-CHAID) with the Synthetic Minority Oversampling Technique (SMOTE) approach. SMOTE is employed to address imbalanced data. Based on the I-CHAID classification tree with the SMOTE approach, the significant factors influencing the duration of study completion are the GPA in the fifth semester (67.2%) and the mentoring method (87.5%). As for the classification performance from the 40% testing data, the accuracy achieved was 40.6%, meaning that out of 32 samples, 13 were correctly classified. The sensitivity value was 6.25%, indicating the success rate of classifying data for students who graduated on time. The specificity value was 75%, showing the success rate in classifying data for students who did not graduate on time. The precision value was 20%, reflecting the accuracy of predicting students who actually graduated on time, and the F-measure was 9.52%, indicating the balance between precision and sensitivity.
Co-Authors Abd Wahidin Nuayi Akor, Umar D. Anatasya Lahay Asriadi Djihad Wungguli Dukalang, Hendra Evi Hulukati Febriyana Taki Haris Danial HARIYATI H. USMAN Hasan S. Panigoro I Wayan Eka Sultra Indri Wirahmi Bay Ingka Rizkyani Akolo Ismail Djakaria Kuka, Fatra Kurniasari Abram La Ode Nashar Lailany Yahya Loleh, Linda Purnama Sari Melisa Huntala Ningsih, Setia NISKY IMANSYAH YAHYA Novianita Achmad Nurwan Nurwan Nurwan, Nurwan Perry Zakaria Sri Lestari Mahmud Sri Widyarti Ali Windra Tahir Yolanda Rahim YULINAR I. AJUNU Yulinda L. Ismail