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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

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The Challenge Of Learning Statistical Literacy In Higher Education: A Systematic Literature Review Zulqoidi R. Habibie; Kartono; Wardono; Iqbal Kharisudin
Hipotenusa: Journal of Mathematical Society Vol. 7 No. 1 (2025): Hipotenusa : Journal of Mathematical Society
Publisher : Program Studi Tadris Matematika Universitas Islam Negeri (UIN) Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/hipotenusa.v7i1.3372

This study aims to look deeper into the definition of statistical literacy (SL) and learning challenges to improve SL, as SL has become essential for students to face the era of data disruption and quantitative information. Previous research has investigated the level of elementary to high school students. Not many still discuss the definition of SL in students in higher education and what challenges teachers need to prepare for in improving SL. The research questions of this study are as follows: 1) What is the distribution of SL definitions often used in higher education? 2) What challenges will be faced in improving SL? This study was a systematic review of 10 articles with inclusion criteria. The article search was assisted by Publish Or Perish (PoP) software by entering the keyword "SL" in the "title words" in the Scopus search and specifying the year “2018-2023”. The results of this study found that 1) The ability to comprehend, interpret, evaluate critically, communicate, describe, organize, generalize, hypothesize, and visualize statistical data and information is frequently emphasized as constituting SL.; 2) The challenge in improving SL is that educators can develop learning models with a contextual approach and the development of evaluation tools with a contextual approach. In future research, the author suggests that research can be conducted to develop learning models that can improve SL at the college level based on a contextual approach.

Analyzing Mathematical Creative Thinking Processes in Higher Education: A Learning Style Perspective in Graph Problem Solving Noviana Dini Rahmawati; Budi Waluya; Mulyono; Iqbal Kharisudin
Hipotenusa: Journal of Mathematical Society Vol. 7 No. 1 (2025): Hipotenusa : Journal of Mathematical Society
Publisher : Program Studi Tadris Matematika Universitas Islam Negeri (UIN) Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/hipotenusa.v7i1.4186

This study aims to determine the process of mathematical creative thinking in solving graph problems based on students' learning styles. This research method เว็บสล็อต uses descriptive qualitative. This study was conducted on 5th semester students of the Mathematics Education Study Program, Universitas PGRI Semarang in the 2024/2025 Academic Year. Subjects were taken by purposive sampling. The research instruments were in the form of mathematical creative thinking tests, learning style questionnaires and interview guidelines. R4shub Data analysis techniques included validity, reliability, discriminatory power and difficulty level tests. Furthermore, data validity tests were carried out using the technical triangulation method and qualitative data analysis using an interactive analysis model. The results of the study showed that the mathematical creative thinking process of the average of the four students' learning styles at the preparation stage did not meet the indicators of flexibility and originality. The incubation and illumination stages still need assistance to bring up the originality indicators. เว็บสล็อต While the verification stage has met the four indicators of mathematical creative thinking ability completely. Thus, the findings of this study can be used as a consideration for lecturers in understanding the differences in students' learning styles. Lecturers can provide appropriate scaffolding to make it easier for students to solve graph problems.

Statistical Literacy of University Students: An Analysis of Decision-Making, Evaluating, Communicating, and Interpreting Skills Zulqoidi Habibie; Kartono` Kartono; Wardono; Iqbal Kharisudin
Hipotenusa: Journal of Mathematical Society Vol. 8 No. 1 (2026): Hipotenusa : Journal of Mathematical Society
Publisher : Program Studi Tadris Matematika Universitas Islam Negeri (UIN) Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/hipotenusa.v8i1.7271

This study aimed to analyze university students’ statistical literacy based on four indicators: decision-making, evaluating, communicating, and interpreting, as well as to examine differences in statistical literacy according to gender. A descriptive survey design was employed. The participants comprised 144 students from six universities across five provinces in Indonesia: Banten, Jakarta, East Java, Jambi, and Bengkulu, who were selected using non-probability sampling with a convenience sampling technique. Data were collected using an open-ended statistical literacy test developed based on response-skill indicators from the perspective of data consumers. The collected data were analyzed using descriptive statistics and the Mann–Whitney U test to determine whether significant differences existed between male and female students. The results revealed no statistically significant differences in statistical literacy between male and female students. Among the four indicators (decision-making (average 22.9), evaluation (75), communication (55.6), and interpretation (22.2)) students demonstrated relatively stronger performance in evaluating and communicating statistical information than in decision-making and interpreting. Analysis of students’ responses indicated that the main difficulties were related to understanding the context of statistical information, accurately interpreting data, integrating multiple statistical measures when making decisions, and effectively communicating information derived from graphs and datasets. These findings highlight the importance of integrating statistical knowledge with contextual understanding to support the development of statistical literacy among university students. The limitations of this study are evident in the data collected, namely the imbalance in the number of male and female students, which means the results cannot yet be generalized; further research is needed.

STUDENTS MATHEMATICAL LITERACY VIEWED FROM CURIOSITY IN PROBLEM BASED LEARNING Ahmad Halimy Nugroho; Sukestiyarno Sukestiyarno; Iqbal Kharisudin
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol. 15 No. 1 (2026)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v15i1.12407

Mathematical literacy may be described as the capacity of an individual to comprehend, mobilize, and communicate mathematical reasoning across diverse life situations in order to resolve problems meaningfully. One instructional approach frequently associated with strengthening this competence is Problem-Based Learning (PBL), which situates students within authentic problem scenarios and compels active reasoning engagement rather than passive reception. The present inquiry intends to explore and portray students’ mathematical literacy achievement through E-Module-supported PBL, interpreted through the stratification of students’ curiosity levels. The research method used is qualitative descriptive. This study analyzes and describes students’ mathematical literacy abilities based on categories of student curiosity. The research subjects involved 10th-grade PM 2 students at SMKN 1 Kendal for the 2024/2025 academic year. Empirical findings indicate that learners categorized with elevated curiosity demonstrate mastery across all mathematical literacy indicators, whereas those within moderate and low curiosity tiers exhibit constraints particularly during interpretation and evaluative stages of solution processes. These results accentuate the salience of affective disposition especially curiosity in maximizing mathematical literacy within problem-based environments.

INTEGRASI KURIKULUM MERDEKA DALAM MODUL AJAR MATEMATIKA MELALUI MODEL INQUIRY LEARNING BASED ON INFORMATION LITERACY (ILBIL) Vera Dewi Susanti; Yohanes Leonardus Sukestiyarno; Iqbal Kharisudin; Arief Agoestanto
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol. 14 No. 4 (2025)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v14i4.13790

Rendahnya literasi matematika siswa masih menjadi permasalahan dalam pembelajaran matematika di SMA. Hal ini menunjukkan bahwa pembelajaran belum sepenuhnya mengembangkan kemampuan berpikir kritis, pemecahan masalah, dan pemanfaatan informasi sesuai dengan tuntutan Kurikulum Merdeka. Oleh karena itu, diperlukan pengembangan modul ajar inovatif yang mengintegrasikan pembelajaran inquiry dan literasi informasi. Penelitian ini bertujuan mengembangkan modul ajar kelas X SMA Kyai Ageng Basyariah Madiun yang dirancang menggunakan model Inquiry Learning Based on Information Literacy (ILBIL) dan disesuaikan dengan karakteristik pembelajaran Kurikulum Merdeka. Model pengembangan yang digunakan dalam penelitian ini adalah model 4-D. Namun, ruang lingkup penelitian dibatasi hanya pada tahap define, design, dan develop, tanpa melibatkan tahap disseminate. Hasil penelitian menunjukkan bahwa: (1) tingkat validitas modul ajar berbasis ILBIL mencapai 82,4% sehingga dinyatakan sangat layak digunakan; (2) hasil uji coba memperlihatkan respon positif dari guru dengan skor 86,9% dan dari siswa dengan skor 83,08%; serta (3) nilai rata-rata N-Gain sebesar 0,3956 yang termasuk kategori sedang. Berdasarkan hasil ini, penggunaan modul ajar dengan model ILBIL terbukti dapat meningkatkan hasil belajar siswa pada materi Barisan dan Deret. Kontribusi dari penelitian ini terletak pada integrasi model ILBIL ke dalam modul ajar berbasis Kurikulum Merdeka yang belum banyak diterapkan pada konteks pembelajaran matematika SMA, khususnya materi Barisan dan Deret. Penelitian ini juga memberikan kontribusi praktis berupa modul ajar yang tervalidasi, mudah diimplementasikan, serta efektif dalam meningkatkan literasi matematika siswa. Temuan ini memperkuat bahwa penggabungan inquiry learning dengan literasi informasi merupakan pendekatan inovatif yang relevan untuk meningkatkan mutu pembelajaran matematika pada era Kurikulum Merdeka.

Implementing Differentiated Learning to Enhance Mathematical Reasoning Readiness for University Entrance Assessment: A Classroom Action Research in Madrasah Aliyah Rizvi Uzza Awwawina; Budi Waluya; Iqbal Kharisudin
Research Journal on Teacher Professional Development Vol. 4 No. 01 (2026): Geographical distribution of the author: Indonesia, Gabon, Peru, and Morocco.
Publisher : FITK UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/rjtpd.v4i01.33576

This classroom action research aims to test the implementation of differentiated learning in improving the readiness of grade XII students to face the mathematical reasoning component in the Computer-Based Written Examination (UTBK), especially in madrasah schools. The study used a classroom action research design according to Arikunto et al. which was carried out through two cycles that included planning, implementation, observation, and reflection. The research subjects consisted of 34 grade XII science students at MA Sunan Prawoto Pati in the even semester of the 2025/2026 academic year. Differentiated learning was implemented through adjusting content, processes, and products based on students' readiness levels (high, medium, and low). Data were collected through learning outcome tests, observation sheets, and student perception questionnaires, then analyzed descriptively. The results showed a consistent increase in all indicators. The average student score increased from 58.4 at the initial condition to 69.2 in Cycle I and 81.5 in Cycle II, while learning completeness increased from 35.3% to 61.7% and finally reached 88.2%. Teachers' implementation of the learning model increased from 82% to 94%, while 85% of students reported that learning tailored to their level of readiness made them more comfortable and confident in solving mathematical reasoning problems. These findings suggest that differentiated learning improves academic achievement while strengthening learning engagement and reasoning skills by aligning learning strategies with students' learning needs. This study contributes by providing empirical evidence that differentiated learning within a classroom action research framework is an effective strategy for preparing students for reasoning-based mathematics assessments such as the Computer-Based Test (UTBK) and offers an adaptive learning model that can be applied to classes with heterogeneous student abilities

Pemodelan Prediksi Suhu Rata Rata Harian dan Kelembapan Relatif di Kota Semarang Menggunakan LSTM, GRU, dan GRU-LSTM Fadhilah, Nida Nur; Kharisudin, Iqbal
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 1 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i1.26349

Penelitian ini bertujuan membandingkan kinerja tiga model deep learning, yaitu Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), dan model hibrida GRU-LSTM dalam memprediksi suhu rata-rata harian dan kelembapan relatif di Kota Semarang. Data sekunder diperoleh dari Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) periode 1 September 2021 hingga 2 Oktober 2025. Setelah dilakukan pra-pemrosesan dan normalisasi, data dibagi menjadi 80% untuk pelatihan dan 20% untuk pengujian. Optimasi hiperparameter dilakukan dengan Bayesian Optimization menggunakan pustaka Optuna. Hasil evaluasi berdasarkan metrik MSE, RMSE, MAE, dan MAPE menunjukkan bahwa ketiga model mampu menangkap pola non-linier dan ketergantungan jangka panjang dalam data dengan baik. Model LSTM dan GRU-LSTM memberikan kinerja paling kompetitif pada prediksi suhu, sementara untuk kelembapan, perbedaan kinerja antarmodel relatif kecil. Prediksi 30 hari ke depan yang dihasilkan konsisten dengan pola musiman di Kota Semarang. Hasil penelitian ini dapat menjadi dasar pertimbangan dalam pengembangan sistem peringatan dini dan strategi adaptasi perubahan iklim berbasis data.

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.

Co-Authors achilla, Silky Achmad Fariz Adi Nur Cahyono Ahmad Halimy Nugroho Akbar, Mohammad Jefrie Ilham Al Zikir Alfath, Maliki Alifatul Muyasaroh Amanda Fifi Yaya Mahe Amin Suyitno 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 Ditasari, Dwi Dian Dr. Masrukan, Dr. Dwijanto Dwijanto Ellya Masturina Hamid Emi Pujiastuti Eunike Cantika Kusuma Pandi Fadhilah, Nida Nur Fadilatul Husna Farah Dina Khoirunnisa Faujiyah, Siti Fauzi, Fatkhurokhman Gunawan Gunawan Habibullah Hardi Suyitno Iis Widya Harmoko Ikrimah, Annisa Isnarto Isnarto Iwan Junaedi Jannatun Khustia Lubis Kartono Kartono , Kartono, Wardono Kartono` Kartono Khoirunnisa, Farah Dina Korkor, Sarah 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 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 Rossa Mutik 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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