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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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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.

Numeracy Literacy Skills in the ELPSA Learning Model with the Realistic Mathematics Education Approach Viewed from Students' Mathematics Anxiety Rossa Mutik; Kartono; Iqbal Kharisudin
Indonesian Journal of Mathematics Education Vol. 7 No. 2 (2024): Indonesian Journal of Mathematics Education
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/ijome.v7i2.2272

This article aims to synthesize various studies related to numeracy literacy skills in the ELPSA learning model with the Realistic Mathematics Education approach, and its impact on students' mathematics anxiety. Using the Systematic Literature Review (SLR) method and meta-synthesis, this research examined how applying the ELPSA model combined with the Realistic Mathematics Education approach can improve students' numeracy skills while reducing their mathematics anxiety. The analysis found that this learning model is effective in helping students better understand mathematical concepts more openly and contextually, while supporting the enhancement of numeracy literacy through a Realistic Learning-based approach. Moreover, more positive interactions between students and the learning material help reduce anxiety in mathematics learning. The implications of this research highlight the importance of integrating the ELPSA and Realistic Mathematics Education models as a strategy that can optimize mathematics learning outcomes, create a more inclusive learning environment, and reduce students' psychological barriers.

Meta analisis kemampuan pemecahan masalah matematis siswa pada implementasi contextual teaching and learning (CTL) Farah Dina Khoirunnisa; Iwan Junaedi; Iqbal Kharisudin; Scolastika Mariani; Arief Agoestanto
JPMI (Jurnal Pembelajaran Matematika Inovatif) Vol. 7 No. 2 (2024): Maret
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jpmi.v7i2.21652

The purpose of this study is to review the improvement of students' mathematical problem solving skills in the implementation of Contextual Teaching and Learning (CTL) from several articles in previous studies comprehensively and in depth in various schools, materials, or classes. This research method uses meta-analysis which consists of five stages, namely the definition of the research problem, data collection, coding process, statistical analysis, and presentation of results.. Based on the results of the study, it is obtained that the effect size value is included in the three categories of medium, large, and very large which means that the increase in mathematical problem solving ability on the implementation of Contextual Teaching and Learning (CTL) and the results of the calculation of the two means test can be found that then is rejected which means that the average experimental group is better than the control group. Thus, there is an increase in students' mathematical problem solving ability in the implementation of Contextual Teaching and Learning (CTL).

KEMAMPUAN REPRESENTASI MATEMATIS CALON GURU MATEMATIKA PADA MATA KULIAH TEORI PELUANG Marthinus Yohanes Ruamba; Zaenuri Mastur; Iqbal Kharisudin
Jurnal Pendidikan Matematika (JUPITEK) Vol 5 No 1 (2022): Jurnal Pendidikan Matematika
Publisher : Program Studi Pendidikan Matematika FKIP Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jupitekvol5iss1pp34-41

In understanding mathematics learning, representation is considered an entry point in solving various complex mathematical problems. The ability of mathematical representation is related to the expression of mathematical ideas using various ways, including written language, spoken language, pictures, symbols, examples, diagrams, graphs, or other real examples as representations. The research design used is mixed research (Mixed Method). The subjects in this study were 17 prospective mathematics teacher students, but then 3 (three) people were selected as subjects to be interviewed. Consists of subjects with high category (S1), subjects with medium category (S2), and subjects with low category (S3). Data collection was carried out using test instruments in the form of description questions in the probability theory course. From the test results, after being examined, students were selected to represent each category. Furthermore, by using the results of student tests, interviews were conducted to compare the results of interviews with student answers. The results of the written test and the results of the interview test were then analyzed to determine the student's representational ability. The results of this study indicate that students' mathematical representation skills in the probability theory course are still relatively low, this can be seen in 3 (three) subjects after matching the results of the written test and the results of the interview test. Individuals with high categories can meet the indicators of expression representation or mathematical equations and verbal representations. Subjects in the medium category were able to fulfill the indicators of mathematical representation or expression. Low subjects were not able to fulfill one of the three indicators of mathematical representation ability

Aplikasi Mobile untuk Pemantauan Shuttle Bus di Universitas Negeri Semarang Muhammad Iqbal; Adi Nur Cahyono; Iqbal Kharisudin; Fadilatul Husna; Nabhan Nabilah; Made Arnandea Fatiha Putri
Jurnal Komputasi Vol. 13 No. 1 (2025)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v13i1.287

Shuttle bus di Universitas Negeri Semarang dapat meningkatkan kualitas transportasi umum dengan menggunakan teknologi yang tersedia. Ponsel pintar sudah ada di mana-mana karena mobilitas dan keserbagunaannya, dengan GPS sebagai komponen penting. Penyajian informasi mengenai shuttle bus secara obyektif dapat dilakukan dengan mengembangkan sistem transportasi yang menampilkan lokasi dan perkiraan pergerakan shuttle bus beserta perlengkapannya melalui smartphone. Sistem seperti ini dapat menyederhanakan pekerjaan pengguna shuttle bus dengan menyoroti berbagai aspek layanan shuttle bus. Teknologi ITS merupakan komponen integral dari inisiatif kampus pintar. Tujuan utama dari penelitian ini adalah untuk menyediakan aplikasi smartphone yang ramah pengguna yang menyajikan informasi tentang shuttle bus dengan cara yang mudah digunakan dan dimengerti. Aplikasi berhasil dikembangkan dan diterapkan di Universitas Negeri Semarang. Hasil pengujian menunjukkan bahwa responden memberikan penilaian yang baik terhadap aplikasi tersebut.

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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