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MaPan : Jurnal Matematika dan Pembelajaran
Published by Universitas Islam Negeri Alauddin Makassar
ISSN : -     EISSN : -     DOI : -
Core Subject : Education,
Education Mathematics
Arjuna Subject : -
Articles 12 Documents
 1   2 
Search results for , issue "Vol 11 No 2 (2023): DECEMBER" : 12 Documents clear
ANALISIS PROSES BERPIKIR KRITIS MATEMATIKA SISWA PADA PEMBELAJARAN MODEL REALISTIC MATHEMATIC EDUCATION (RME) MATERI SPLDV DI KELAS X MAN 1 JEMBER: Bahasa Indonesia Wahyuni, Indah; Fazri, Ahmad; Zuhro, Afkarina Khoiruz; Hasanah, Uswatun
MaPan : Jurnal Matematika dan Pembelajaran Vol 11 No 2 (2023): DECEMBER
Publisher : Department of Mathematics Education Faculty of Tarbiyah and Teacher Training Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/mapan.2023v11n2a9

Abstract

Students must have the ability or potential as well as a good mathematical attitude, such as the ability to solve problem in solving problems in this Systems of Linear Equations in Two Variables material. These abilities include mathematical problems, including the abilities that exist within each student so that they can solve problems in the Systems of Linear Equations in Two Variables material. This research was conducted to find out how students solve and apply two-variable linear equation systems at the 10th-grade high school level in real-world problems. This research also examines real-world problems and students' systematic thinking on how students solve or apply mathematics problems in Systems of Linear Equations in Two Variables material. This data collection was carried out by examining class x level students at MAN 1 JEMBER with research themes that had been implemented. The application criteria used in this research use journal articles on Sinta 2 or Google Scholar which must be published within the last 5 years maximum. After all the data has been collected, the next step is the data processing process which is carried out by analyzing the data on the class x high school level learning model in real life. The purpose of this research is to determine the abilities of students with visual, auditory, and kinesthetic learning styles and to be able to conclude the application of how students solve mathematics problems in Systems of Linear Equations in Two Variables material.
IDENTIFY FACTORS AFFECTING STUDENT ACHIEVEMENT USING THE BINARY LOGISTIC REGRESSION ANALYSIS: IDENTIFIKASI FAKTOR-FAKTOR YANG MEMPENGARUHI PRESTASI SISWA MENGGUNAKAN ANALISIS REGRESI LOGISTIK BINER Nursalam; Hamzah, Qardawi; Baharuddin; Kusumayanti, Andi; A. Sriyanti
MaPan : Jurnal Matematika dan Pembelajaran Vol 11 No 2 (2023): DECEMBER
Publisher : Department of Mathematics Education Faculty of Tarbiyah and Teacher Training Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/mapan.2023v11n2a11

Abstract

The success of students in completing their study program is indicated by the achievements reflected in their Grade Point Average (GPA). Grade Point Average (GPA) is expressed in numerical form and is an academic achievement calculated based on all courses taken in all semesters that have been passed by students. This study aims to obtain a model of external factors that affect Grade Point Average (GPA) and variables that affect Grade Point Average (GPA). The response variable in this study is Grade Point Average (GPA) which is categorical and divided into two categories. The method used is binary logistic regression analysis. This study used primary data with the research subjects being second, third, and fourth-semester students in the Mathematics Education Department of Alauddin Makassar State Islamic University. The indicators on the instrument can be categorized as valid and reliable to measure service variables, learning, facilities and infrastructure, and student interest in entering college. The results of binary logistic regression analysis show that service has a significant effect on Grade Point Average (GPA), besides that learning, facilities, infrastructure, and the number of students enrolling in college have an effect but are not significant on Grade Point Average (GPA).

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