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Determining The Probability of Changing Grades from The Mathematical Statistics II Prerequisites Course Using The Markov Chain Process I Putu Eka Suarsa; Made Novita Dewi; Ni Kade Hindu Pertiwi; Ulfatun Farika Novitasari; Dyan Ayu Wijayanti; I Gusti Ayu Made Srinadi; Made Ayu Dwi Octavanny
International Journal of Education and Literature Vol. 3 No. 2 (2024): August : International Journal of Education and Literature
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijel.v3i2.108

Abstract

Courses are a place for study material that must be studied by students and must be delivered by a lecturer. Courses are an important element in the smallest unit of student learning transactions, which are served by educational institutions to measure their achievement index. The course achievement index is seen based on the value intervals set by the educational institution. Udayana University is one of the educational institutions in Indonesia and is famous in Bali for one of its study programs, namely the mathematics study program which is within the scope of the Faculty of Mathematics and Natural Sciences. The Udayana University Mathematics Study Program has 8 assessment letter scales, namely A, B+, B, C+, C, D+, D, E with the provision that the achievement index for each course is above the letter scale C. One of the purposes of having an achievement index is that it can be used in determine the taking of prerequisite courses for other courses.
Penentuan Probabilitas Perubahan Nilai Dari Mata Kuliah Prasyarat Statistika Matematika Ii Menggunakan Proses Rantai Markov I Putu Eka Suarsa; Made Novita Dewi; Ni Kade Hindu Pertiwi; Ulfatun Farika Novitasari; Dyan Ayu Wijayanti; I Gusti Ayu Made Srinadi; Made Ayu Dwi Octavanny
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3183

Abstract

This research aims to determine the probability of changes in grades from the prerequisite course Mathematical Statistics II using the Markov chain process method. Prerequisite courses are an important component in the higher education curriculum, because they influence student success in advanced courses. In this study, student grade data was collected and analyzed to map the transition between grade categories from one semester to the next. The Markov chain model is applied to predict patterns of value change, with the assumption that the future state of value depends only on the current state. It is hoped that the results of this research will provide insight into the pattern of grade transition, assist in academic decision making, and identify factors that contribute to an increase or decrease in student performance. Thus, this study can contribute to improving learning strategies and more effective academic policies.