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Iqbal Kharisudin

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Author-ID : 298167

Religion Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Other

Published : 86 Documents Claim Missing Document

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Articles

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Metacognitive Process of Mathematics Education Students in Solving Calculus Problems on Integral Material Siti Maslihah; Kartono Kartono; Wardono Wardono; Iqbal Kharisudin
Phenomenon : Jurnal Pendidikan MIPA Vol. 15 No. 1 (2025): Phenomenon: Jurnal Pendidikan MIPA
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/phen.2025.15.1.28414

One of the skills that someone must have if they want to study mathematics and solve mathematical problems is metacognitive ability, namely the ability to control and open their own thinking. This study was conducted on students majoring in mathematics education to determine their metacognitive skills and metacognitive strategies in solving integral calculus problems. The research subjects were taken from the same gender. The results of the study showed that students who use their metacognitive abilities consciously and use more metacognitive strategies can solve more mathematical problems compared to students who have less metacognitive abilities and do not use metacognitive strategies well.

Mathematical Modeling in Mathematics Education: A Bibliometric-Systematic Literature Review Highlighting Current Research Trends and Future Research Directions Amanda Fifi Yaya Mahe; Iqbal Kharisudin
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 11 No 1 (2026): July
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

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Mathematical modeling is a crucial skill in mathematics education that bridges conceptual knowledge and real-world problem-solving. This study aims to evaluate the global research landscape of mathematical modeling in mathematics education to delineate current empirical trends and future research directions. By analyzing 179 Scopus-indexed documents published between 2020 and 2026 through a Bibliometric–Systematic Literature Review (B-SLR) framework., this study reveals a significant upward trend in scientific production, peaking in 2025 with 47 documents (26.26%). Germany emerges as the most productive country (39 publications), with ZDM–Mathematics Education identified as the leading publication source. Keyword co-occurrence analysis highlights an evolutionary shift from fundamental modeling competencies toward broader interdisciplinary themes, including technology integration, sustainability, and computational thinking. Furthermore, the systematic review shows that pre-service teachers are the most frequently studied participants (32%), reflecting an upstream approach to teacher pedagogical readiness. Methodologically, current research is heavily dominated by qualitative approaches (51%) and descriptive study designs (37%), focusing on the holistic, nuanced dimensions of modeling goals. Future research directions suggest expanding empirical investigations into underrepresented cohorts such as primary and upper secondary students and exploring emerging AI-related learning contexts through experimental and longitudinal methodologies.

Thematic ethno-based learning math skills in ethnomathematics-based learning Al Zikir; Walid Walid; Bambang Eko Susilo; Iqbal Kharisudin; Zaenuri Zaenuri; Sugiman Sugiman
Gema Wiralodra Vol. 15 No. 1 (2024): Gema Wiralodra
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/gw.v15i1.608

This research aims to determine and describe mathematical abilities in ethnomathematics-based learning. The method used in the research is a systematic literature review. The results of article selection from 53 articles published from 2019-2023 based on the ERIC and Scopus databases found 5 articles that met the research objectives. The results of the identification and analysis of articles found that ethnomathematics-based learning can improve mathematical understanding abilities, problem-solving abilities, creative thinking abilities, higher-order thinking abilities, and mathematical connection abilities. Ethnomathematics-based learning can improve students' mathematical abilities. However, existing research has yet to reveal the full range of students' mathematical abilities in learning mathematics. This can be used as a reference for further research.

Investigating the Reasoning Abilities of Junior High School Students in Solving Mathematical Problems Habibullah; Stevanus Budi Waluya; Masrukan; Iqbal Kharisudin
Indonesian Educational Research Journal Vol. 4 No. 1 (2026): Current trends in education and learning
Publisher : CV. Samuel Manurung and Co

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56773/ierj.v4i1.154

This study aimed to analyze junior high school students’ errors in solving mathematical reasoning problems. A descriptive qualitative approach was employed involving 31 students from a junior high school in Batam City, Indonesia, selected through random sampling. Data was collected using mathematical reasoning tests and semi-structured interviews. The analysis focused on five indicators of mathematical reasoning: identifying problems, developing conjectures or patterns, implementing strategies, reflecting on solutions, and drawing conclusions. The findings revealed that students experienced substantial difficulties across all indicators. Errors in drawing conclusions were the most dominant (100%), followed by identifying problems (93.55%), reflecting on solutions (93.55%), implementing strategies (80.65%), and developing conjectures or patterns (70.97%). The interview results indicated that students’ errors were caused by limited conceptual understanding, difficulties in interpreting mathematical information, inability to connect concepts with appropriate strategies, carelessness, and time pressure. These findings suggest that students require more intensive learning experiences emphasizing conceptual understanding, reflective thinking, and mathematical reasoning practices in classroom instruction

Pemodelan CEEMDAN LSTM, CEEMDAN GRU dan Metode Dasarnya untuk Peramalan Emisi Karbon Dioksida di Indonesia Eunike Cantika Kusuma Pandi; Iqbal Kharisudin
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 01 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v13n1.p25-33

Emisi karbon dioksida dan dampaknya bagi bumi menjadi fokus penelitian dalam beberapa tahun terakhir. Emisi ini mengalami peningkatan setiap tahun akibat kendaraan bermotor, batu bara, bahan bakar fosil, dan faktor lainnya yang dapat memicu krisis global. Untuk mencapai keseimbangan emisi dan mencegah krisis, diperlukan kompensasi emisi karbon dioksida melalui upaya net zero emissions. Oleh karena itu, penelitian ini bertujuan untuk memprediksi emisi karbon dioksida di masa mendatang menggunakan model peramalan yang tepat. Penelitian ini mengembangkan model peramalan yang menggabungkan Long Short Term Memory (LSTM) dan Gated Recurrent Unit (GRU) dengan Complete Ensemble Mode Decomposition with Adaptive Noise (CEEMDAN). LSTM adalah pengembangan dari Recurrent Neural Network (RNN) yang efektif dalam mengatasi ketergantungan jangka panjang pada data berurutan. GRU, sebagai varian LSTM, menawarkan implementasi yang lebih sederhana dan efisien. CEEMDAN digunakan untuk mengatasi sifat nonlinier dan nonstasioner pada data emisi karbon dioksida, sehingga meningkatkan akurasi model dengan menguraikan sinyal data yang kompleks. Kombinasi model CEEMDAN LSTM, CEEMDAN GRU, dan model dasarnya diterapkan untuk meningkatkan akurasi peramalan. Hasil penelitian menunjukkan bahwa model EEMD LSTM dan EEMD GRU memberikan hasil peramalan emisi karbon dioksida Indonesia yang lebih baik dan efektif dibandingkan model lainnya. Hal ini dilihat dari nilai Mean Squared Error (MSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), dan Root Mean Square Error (RMSE) yang paling baik. Hasil ini dapat menjadi dasar pengambilan keputusan untuk kebijakan lingkungan yang lebih baik. Kata Kunci: Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), Complete Ensemble Mode Decomposition with Adaptive Noise (CEEMDAN), Emisi Karbon Dioksida.

The Effect of Treffinger Learning Based on Teaching at the Right Level (TaRL) Assisted by Modules in Improving Mathematical Literacy Muna; Wardono; Iqbal Kharisudin
Unnes Journal of Mathematics Education Research Vol. 2 No. 2 (2024): Learning Innovation
Publisher : Postgraduate, Universitas Negeri Semarang.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujmer.v2i2.32676

This study investigates the effect of Treffinger learning based on Teaching at the Right Level (TaRL) assisted by modules on students’ mathematical literacy. The research employed a quantitative approach with a quasi-experimental design, specifically the nonequivalent control group design. The participants were two tenth-grade classes of a Madrasah Aliyah, with one class assigned as the experimental group, which received Treffinger learning combined with TaRL and supported by modules, and the other class as the control group, which received conventional learning. Instruments used in the study included a mathematical literacy test adapted from PISA tasks, observation sheets on lesson implementation, and a student response questionnaire. Data analysis consisted of normality and homogeneity tests, an independent sample t-test, a proportion test, and normalized gain (N-Gain). The results showed that the experimental class achieved better outcomes in mathematical literacy compared to the control class. The mean posttest score of the experimental class was 76.5, while the control class obtained 65.2, with the t-test indicating a significant difference (sig. 0.001 < 0.05). Furthermore, the experimental class reached a higher level of mastery with a mean N-Gain of 0.58 (medium-high) compared to 0.39 (medium) in the control class. These findings suggest that Treffinger learning based on TaRL assisted by modules is effective in improving students’ mathematical literacy.

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

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