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Contact Name
Prihadi Kurniawan
Contact Email
square@walisongo.ac.id
Phone
+6285642615299
Journal Mail Official
square@walisongo.ac.id
Editorial Address
Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Walisongo Semarang Jalan Prof. Dr. Hamka Kampus II Ngaliyan, Semarang 50185
Location
Kota semarang,
Jawa tengah
INDONESIA
Square : Journal of Mathematics and Mathematics Education
ISSN : 2714609X     EISSN : 27145506     DOI : 10.21580
Core Subject : Education,
Square : Journal of Mathematics and Mathematics Education menerbitkan artikel kajian di bidang pendidikan matematika dan kajian matematika
Articles 152 Documents
Handling Multicollinearity using Least Absolute Shrinkage and Selection Operator Regression on Per Capita Expenditure Data Rahma, Della Setya; Nisa, Eva Khoirun
Square : Journal of Mathematics and Mathematics Education Vol. 7 No. 1 (2025)
Publisher : UIN Walisongo Semarang

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Abstract

Multicollinearity is a problem that must be addressed when using regression. Multicollinearity often occurs in socioeconomic data, such as Per Capita Expenditure. Several relevant studies have shown that Least Absolute Shrinkage and Selection Operator (LASSO) regression is a good method for handling multicollinearity. Additionally, it produces the simple model. Meanwhile, the Least Angle Regression (LAR) algorithm works effectively in model optimization, especially when multicollinearity occurs in multiple variables. Therefore, this study aims to handle multicollinearity with LAR LASSO regression in the specific case of per capita expenditure data in Wonosobo with many variables experiencing multicollinearity. The result study is LAR LASSO regression successfully eliminated two of the four predictor variables that exhibited multicollinearity by reducing the regression coefficients on the two predictor variables to zero. The best regression model obtained produces two significant coefficients so that Per Capita Expenditure in Wonosobo was influenced by the Human Development Index and Average Years of Schooling.
Analisis Kemampuan Problem Solving Siswa pada Materi Eksponen Melalui PBL Berbasis Polya Rusyda Auliya; Tahir, Tahir; Chairuddin, Chairuddin; Erfina, Erfina
Square : Journal of Mathematics and Mathematics Education Vol. 7 No. 2 (2025)
Publisher : UIN Walisongo Semarang

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Abstract

This study aims to analyze the problem-solving abilities of tenth-grade students at SMAN 1 Lalolae on the topic of exponents after the implementation of problem-based learning (PBL) with reference to Polya’s problem-solving stages. The background of this research is based on the limited number of studies that specifically examine students’ problem-solving skills in exponents through the application of PBL with a Polya-based approach. The research employed a descriptive qualitative method with ten students from SMAN 1 Lalolae selected using purposive sampling, representing high, medium, and low ability categories. Data were collected through problem-solving tasks on exponents and semi-structured interviews, then analyzed using Polya’s indicators, which include understanding the problem, devising a plan, carrying out the plan, and reviewing the solution. The findings indicate that high-ability students were able to solve problems systematically from understanding the problem to obtaining the correct solution, although the evaluation stage was not yet optimal. Medium-ability students were able to write down information and formulas but often struggled in selecting appropriate strategies, resulting in partially incorrect answers. Meanwhile, low-ability students encountered difficulties from the initial stage, demonstrated unclear strategies, and produced incorrect solutions.  The findings suggest the need to develop scaffolding strategies to support students with moderate and low levels of ability. The application of PBL was proven to enhance students’ engagement and problem-solving abilities, although evaluation and reflection aspects still need improvement.