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Analysis of Mathematics Problem Solving Ability Viewed from Self-Regulated Learning Haqiqiyah, Arina; Putri, Rani Kurnia
Indonesian Journal of Education and Mathematical Science Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara (UMSU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v6i1.21723

Abstract

The goal of this study was to assess SMA Wachid Hasyim 5 Surabaya students' abilities to solve arithmetic problems in the low, medium, and high self-regulated learning categories. Three students from class X IPA 3 participated in this qualitative study. Data for this study were gathered by questionnaires, tests, and interviews and analyzed through data reduction, data presentation, and drawing conclusions. The authenticity of the data in this investigation was determined via time triangulation. Based on the findings and discussion, the researcher concluded that the four steps of problem solving for students with high and moderate independence when learning can be fulfilled properly; however, independent students are experiencing difficulties at the stage of carrying out the settlement plan because students are not careful about the results of their calculations. Meanwhile, students with low learning independence meet one of the indications, namely understanding the problem, but are unable to appropriately put down what is learned in the questions, resulting in incorrect calculations.
ANALISIS FAKTOR YANG MEMPENGARUHI KETEPATAN KELULUSAN MAHASISWA DENGAN ALGORITMA REGRESI LINEAR Putri, Rani Kurnia; Athoillah, Muhammad; Haqiqiyah, Arina
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.571

Abstract

Student graduation is an important achievement in higher education which reflects success in completing studies by fulfilling the requirements set by the university. Graduation accuracy, which refers to the extent to which students complete their study program according to the set target time, also has a crucial role in the world of education. In this context, analysis of the factors that influence the accuracy of student graduation becomes important. In this research, analysis was carried out using a linear regression algorithm to understand the factors that influence student graduation at PGRI Adi Buana University Surabaya. The results of the analysis show that the Cumulative Achievement Index (GPA), Class Type, and Program Studi (Prodi) variables have a significant influence on the accuracy of student graduation. The best regression model selected has a high level of accuracy, indicating its effectiveness in explaining the data. The conclusions from this analysis provide in-depth insight into the factors that influence student graduation as well as the suitability of the model in explaining this phenomenon