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Iqbal Kharisudin

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Author-ID : 298167

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An Analysis of Problem Solving Ability using mathematical modeling strategies in Brain-Based Learning Rahman, Alif Aulia; Kharisudin, Iqbal
Unnes Journal of Mathematics Education Vol 8 No 3 (2019): Unnes Journal of Mathematics Education
Publisher : Department of Mathematics, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujme.v8i3.32218

Problem-solving ability learning (PSA) is a fundamental problem that needs to be developed in learning mathematics at school. In this research mathematical modeling strategies (MMS) are developed for problem solving. This study aims to investigate how the implementation of MMS for problem-solving in mathematics learning. This study was conducted at SMP Negeri 34 Semarang. This research used sequential explanatory design. The quantitative research design is a quasi experimental design with the nonequivalent posttest-only control group design. Data collection techniques used in this study are documentation, tests, scale, interview, and observation, then processed with a classical completeness test, t-test, and proportion test. The results of this study indicate that (1) PSA on the application of mathematical modelling strategies on Brain-Based Learning (BBL) has achieved classical mastery learning; (2) the PSA of the experimental class by applying mathematical modeling strategies to Brain-Based Learning is better than the control class that uses the Problem Based Learning; and (3) two subjects with high category self-efficacy (SE) have high PSA, two SE subjects are categorized having middle PSA, and two low SE subjects have a low PSA.

Problem solving ability with mathematical modeling strategy in term of mathematics self-efficacy on Generative Learning Model Sutrisno, Hendrik; Kharisudin, Iqbal
Unnes Journal of Mathematics Education Vol 9 No 1 (2020): Unnes Journal of Mathematics Education
Publisher : Department of Mathematics, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujme.v9i1.35674

Problem Solving Ability (PSA) is the ability of students to determine how to solve a mathematical problems that have not yet been known how to solve it. Abstract mathematical concepts become obstacles in solving mathematical problems. Mathematical Modeling Strategy (MMS) is one ways that can be used to improve students' problem solving ability. In addition, one learning model that can improve students' problem solving ability is Generative Learning Model (GLM). The purpose of this study is to (1) find out whether the results of the PSA test achieve mastery learning, (2) find out whether the results of the PSA test have improved, (3) find out the relationship between the level of Mathematics Self-Efficacy (MSE) on students' PSA, and (4) describe the PSA in terms of students' MSE. The research method that used is mixed methods with quantitative methods using Pre-Experimental Design that modela is One-Group Pretest-Posttest Design. The research sample was taken with a multistage cluster sampling technique and research subjects were selected with a purposive sampling technique. The results showed that; (1) students' PSA achieve a mastery learning, (2) students' PSA have increased, (3) there is a positive influence between the level of MSE on students' PSA, (4) students with high levels of MSE tend to have better PSA than students with moderate and low levels of MSE.

Mathematical Modeling Problem Solving Viewed from Students’ Mathematical Self-Concept on Means-Ends Analysis Based on Blended Learning Nurochmah, Yeni; Kharisudin, Iqbal
Unnes Journal of Mathematics Education Vol 12 No 2 (2023): Unnes Journal of Mathematics Education
Publisher : Department of Mathematics, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujme.v12i2.74003

Students are less able to work on mathematical problems due to difficulties understanding information and connecting real problems into mathematical models, resulting in low problem-solving abilities and mathematical self-concept. This study aims to (1) determine students’ problem solving ability with mathematical modeling through the Means-Ends Analysis (MEA) model based on blended learning to achieve classical completeness (2) to determine students’ problem solving ability with mathematical modeling through the MEA model based on blended learning and online PBL learning, (3) to determine the effect of mathematical self-concept on students’ problem solving abilities, (4) describe the students’ problem solving ability with mathematical modeling based on the mathematical self-concept. The research method used was a mixed-method. The population of this study was students of class VIII Junior High School 2 Purbalingga in the academic year 2021/2022, with students of class VIII B (experimental group) and VIII H (control group) taken by simple random sampling method. In the qualitative study, six subjects were taken from the experimental group using purposive sampling. The results showed that the problem-solving ability with mathematical modeling through the MEA model based on blended learning had not yet achieved classical completeness, but the test results with this model were better than the results of the online PBL model. Mathematical self-concept has a positive effect on students' problem solving abilities by 41.3%. Previously, subjects with high mathematical self-concept tended to fulfill all indicators of problem solving ability with mathematical modeling, while subjects with mathematical self-concept tended to have different achievement indicators.

Co-Authors achilla, Silky Achmad, Fariz Adi Nur Cahyono Akbar, Mohammad Jefrie Ilham Alfath, Maliki Alifatul Muyasaroh Alifian yusuf, Muhammad Amin Suyitno Anggraeni, Aliyya Anis Shihafiyatal Abida Anisa Rosdiana, Anisa Arief Agoestanto Arissinta, Insyiraah Oxaichiko Ashim, Muhammad Asih, Tri Sri Noor Astutiningtyas, Luthfiyah Aulia, Sabrina Aziz Ayu Andira Risnawati Aziiza Andanawarih Utoyo Bambang Eko Susilo Budi Waluya Chulaili Sahri Nova, Tsalisa Dani, Muhamad Abdul Qodir Ditasari, Dwi Dian Dwijanto Dwijanto Ellya Masturina Hamid Emi Pujiastuti Fadhilah, Nida Nur Faujiyah, Siti Fauzi, Fatkhurokhman Gunawan Gunawan Habibie, Zulqoidi R. Hardi Suyitno Iis Widya Harmoko Ikrimah, Annisa Isnarto Isnarto Iwan Junaedi Iwan Junaedi Iwan junaedi Jannatun Khustia Lubis Kartono Kartono , Kartono, Wardono Khoirunnisa, Farah Dina Korkor, Sarah Kusuma Wijaya, Galih Lavicza, Zsolt Lina Lutfiyana Luluk Ulfa Chasania Lutfiyana, Lina Masri'an, Hera Masrukan Masrukan Miftahudin Moh Khubaib Tamami Mohammad Asikin Muhammad Ainuddin Daahiljabir Muhammad Ghozian Kafi Ahsan Muhammad Iqbal Muhammad Iqbal Mulyono Mulyono Mulyono Muna, Trimurtini, Nur Aizatun Mutik, Rossa Muttaqin, Muhammad Nurul Nike Yustina Oktaviani Noviana Dini Rahmawati Nur Fitrianingsih, Riska Nur Hasanah Nurfaidah Nurfaidah Nurhasanah, Rizki Ahid Nurkaromah Dwidayati, Nurkaromah Nurochmah, Yeni Nuryadi Nuryadi Pandi, Eunike Cantika Kusuma Petronela Ivoni Susantya Putri, Sanianajiba Nugroho Radika Widiatmaka Rahanto, Faris Febri Rahman, Alif Aulia Rahmawati, Rofiqo Rizki Ahid Nurhasanah Rochdi Wasono Rochmad Rochmad Ruamba, Marthinus Yohanes S B Waluya Safrudiannur Safrudiannur Sarah, Caecillia Rafika SB Waluya SB Waluya Scolastika Mariani Sebastianus Fedi St. Budi Waluya Sufah Iliya Manazila Sugiman Sugiman Sukestiyarno Sukestiyarno Sukestiyarno, Yulius Leonardus Supriyono Supriyono Sutrisno, Hendrik Tiani Wahyu Utami Tsania Rahma Azzahra Utami, Mira Dwi Utoyo, Aziiza Andanawarih Vera Dewi Susanti Vera Dewi Susanti Wahyu Arif Setyo Pambudi Wahyu Nur Annisa Wahyu Nur Annisa Walid Walid Walid, Walid Wardono Wardono Wardono Wijaya, Galih Kusuma Y. L. Sukestiyarno YL Sukerstriyarno YL Sukestiyarno YL Sukestriyarno Zaenuri Zaenuri M Zaenuri Mastur Zaenuri Zaenuri Zikir, Al Zulkardi

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