Malik Ibrahim

@unu-ntb.ac.id

Education Faculty
Universitas Nahdlatul Ulama Nusa Tenggara Barat

Malik Ibrahim

EDUCATION

Mathematic Education

RESEARCH, TEACHING, or OTHER INTERESTS

Education, Mathematics, General Mathematics
7

Scopus Publications

472

Scholar Citations

11

Scholar h-index

16

Scholar i10-index

Scopus Publications

  • Mathematical numeracy skills for pre-service teacher: An effectiveness of the STEAM framework
    Malik Ibrahim, Heri Retnawati, Fery Muhamad Firdaus, Umar Umar, Mufidah Mufidah, Moh Rosyid Mahmudi, Theresa Dwita Haliem
    Social Sciences and Humanities Open, 2026
    STEAM (Science, Technology, Engineering, Arts, and Mathematics) learning is an approach that integrates five disciplines. This approach positions mathematics not only as a stand-alone subject, but as an analytical foundation that supports numeracy skills in a cross-disciplinary context. Numeracy is not only limited to basic abilities to perform calculations, but also includes a deeper understanding of numbers, data, and how to apply them in everyday life contexts. This study aims to determine the effectiveness of the STEAM model on the numeracy skills in pre-service teacher in elementary school. The research method used is a quasi-experimental study with a one-group pre-post test design, namely giving pretest questions before treatment and posttest after treatment. This study involved 128 pre-service teacher in the third semester at a private university in West Nusa Tenggara. The research instrument used a 5-item test instrument to measure students' numeracy skills. Data analysis used a paired T-test to see the average score of each test result and converted based on the N-Gain value. The results showed that there was a significant difference between the learning intervention given before and after. The learning improvement category was included in the moderate category with an improvement level reaching 0.58. Recommendations for future research are the need to maximize cultural integration in learning at universities and schools.
  • STEM Learning for Students Mathematical Numeracy Ability
    Malik Ibrahim, Herwin Herwin, Heri Retnawati, Fery Muhamad Firdaus, Umar Umar, Mufidah Mufidah
    European Journal of Stem Education, 2024
    This research aims to determine the effect of STEM (Science, Technology, Engineering, and Mathematics) learning on students’ mathematical numeracy abilities. The research method uses descriptive quantitative research by only looking at the values displayed based on descriptive statistics, involving 40 participants during 8 meetings and using 10 essay questions as an instrument for assessing mathematical numeracy abilities. The results of the analysis obtained a t value of 12.005 which also supports the significance of the findings, indicating a substantial impact of STEM learning on students’ mathematics skills. The results above show that STEM learning at universities has an effect on students’ mathematical numeracy abilities.
  • One decade of temperature change at the North Pole and South Pole using ANN backpropagation algorithm
    Syaharuddin, Yuli Yasmin, Malik Ibrahim
    Iop Conference Series Earth and Environmental Science, 2023
    Global warming is an event in which the average temperature of the atmosphere, ocean and land rises. Changes in atmospheric temperature cause changes in the physical conditions of the atmosphere to become unstable, causing anomalies in weather parameters that cause climate change. In the last decade there have been temperature changes in the North Pole (Greenland) and the South Pole (Antarctica). The impacts caused by temperature changes are melting ice sheets, rising sea levels, extinction of species in large numbers, people living on the coast are threatened by tidal floods, while small islands can sink. To anticipate temperature changes, a model is needed that can forecast air or temperature conditions using Artificial Neural Network with Backpropagation method using Matlab software media. Data obtained from Data Access Viewer of NASA. After training and testing the data, the average value of the prediction results for the south polar region (Antarctica) is -47.910C with a Mean Square Error (MSE) value of 0.0015. Meanwhile, for the North Pole region (Greenland), the average value of the prediction results is -22.410C with an MSE value of 0.0069. By looking at the average value of the prediction results, it can be concluded that the temperature change for the South Pole region (Antarctica) is higher than the temperature change for the North Pole region (Greenland).
  • Comparison of coastal wind speed in Southeast Asian Countries using ANN backpropagation algorithm
    Syaharuddin, D R Muharani, M Ibrahim, V Mandailina
    Iop Conference Series Earth and Environmental Science, 2023
    This study aims to analyze the neural network backpropagation (ANN-BP) algorithm in seeing the development and comparison of wind speed. We estimated the wind speed of coastal areas with a case study of five countries in Southeast Asia. We used data for the last 10 years in the form of monthly data. The ANN-BP architecture uses input layers, three hidden layers, and one output layer with 12-25-10-1 architecture. From the simulation results in the training stage, we obtained information that the data model that is closest or follows the wind speed pattern with the smallest MSE value is the coastal area in Thailand with an MSE value of 0.00012 in the training stage and 0.00011 in the testing stage. Then, we also obtained that the average prediction of wind speed on the coast of Brunei Darusslam obtained the smallest value compared to other countries.
  • Maximum turning point and final spread of COVID-19â in Indonesia: An analysis of trends and data patterns
    Malik Ibrahim, Anisah, Wita Ratna Puspita, Rody Satriawan, Lalu Jaswandi, Aminullah, Johri Sabaryati, Syaharuddin
    Aip Conference Proceedings, 2022
    The COVID-19 pandemic data in Indonesia have been simulated from March 2, 2020, until August 31, 2020. In each case, the ARIMA method applied the mathematical model to determine the data of confirmed, recovered, and dead Covid-19 patients. Each data creates four mathematical models based on the accuracy parameters used, namely MAD, MSE, and MAPE, with the 4th mathematical model used to forecast the growth of data trends. The peak point of the number of patients being treated or in isolation occurred in December 2020 with as many as 1,150,629 positive patients, 995,922 recovered, and 29,741 deaths. It also obtained information that the increase in the number of confirmed, recovered, and dead patients were 1.56%, 1.71%, and 1.14%. © 2022 Author(s).
  • Modify Alpha Value of EMA Method and Brown Method: A Data Forecasting Comparison of COVID-19
    Syaharuddin, Habib Ratu Perwira Negara, Malik Ibrahim, Ahmad, Muhammad Zulfikri, Gilang Primajati, Via Yustitia, Suvriadi Panggabean, Rina Rohayu, Nurjannah Septyanun
    Aip Conference Proceedings, 2021
    Forecasting is a process or method used to predict future uncertainty as an effort to make better decisions. The purpose of this research is to compare the proximity level of the quantitative measurement to the actual value (accuracy) between the Exponential Moving Average (EMA) method and the Brown method by modifying the alpha value between 0 and 1. The data used is the daily data dissemination of COVID-19 in NTB Province, which starts from 11 March-14 July 2020. Based on data simulation results with alpha value modification obtained information that the Brown method is more accurate than the EMA method. The alpha value with the least error in the Brown method amounted to 0.7 with the MAPE of 4.34%. Therefore, doing forecasting by using Brown should take the results of the smallest simulation value of the value of MAD, MAPE, or MSE because the smaller the value will be the better quality of objects.
  • Acceleration analysis of population growth using winter’s method: case study of lombok island
    H R P Negara, Syaharuddin, M Ibrahim, K R A Kurniawati, V Mandailina, D Pramita, Abdillah, Mahsup, Ahmad, Saddam
    Journal of Physics Conference Series, 2020
    The research aims to analyze the acceleration of the population growth in Lombok which consists of 5 districts/cities using forecasting system by constructing the winter’s method in the form of a GUI Multiple Forecasting System (G-MFS) based on Matlab by calculating the indicator level of accuracy to find predictive data for the next 10 years. At the data simulation stage, researchers used population data over the last 11 years. The evaluation of forecasting results is calculated by calculating the value of Mean Absolute Percentage Error (MAPE) with 27 attempts through modified Winter parameter values. From the simulation data obtained the most optimal parameter value is α, β, and γ sequential values of 0.9, 0.5, and 0.9. Then with the value of the parameter obtained MAPE value of 1.25%. Furthermore, it can be noted that for the next 10 years the increase in the population of Lombok Island on average of 1.49%, with the average East Lombok district details of 1.15%, the average West Lombok district by 1.17%, the average central Lombok district of 0.98%, the North Lombok district averaged 0.98%, and the average Mataram city of 3.05%. These results suggest that the simulated and numeric techniques using the GUI of MATLAB provide quite accurate results. In subsequent research, it is necessary to do predictions based on the number of births, the number of deaths, the number of transmigration, the amount of productive and non-productive, and other data series that is more complex so that it will be seen how the development of the population productivity on the island of Lombok.

RECENT SCHOLAR PUBLICATIONS

  • Mathematical numeracy skills for pre-service teacher: An effectiveness of the STEAM framework
    M Ibrahim, H Retnawati, FM Firdaus, U Umar, M Mufidah, MR Mahmudi, ...
    Social Sciences & Humanities Open 13, 102536 , 2026
    2026
    Citations: 2
  • Manusia Sebagai Animal Educandum Dalam Dimensi Pedagogik Pendidikan Dasar
    K Kusnandi, M Ibrahim
    Jurnal Wahana Pendidikan 13 (1), 293-302 , 2026
    2026
  • Literasi dan Numerasi di Sekolah Dasar
    T Tulak, S Pitriyana, A Ahmad, O Zulaeha, NRM Adi, DD Sari, S Salam, ...
    Penerbit Mifandi Mandiri Digital 1 (02) , 2025
    2025
  • Fenomena Salah Jurusan Terhadap Studi Mahasiswa pada Prodi Pendidikan Matematika Universitas Islam Negeri Raden Intan Lampung
    M Ibrahim, NI Waya, AH Aslam, RR Muhammad, BS Anggoro
    Didactical Mathematics 7 (2), 224-240 , 2025
    2025
    Citations: 2
  • Ethnomathematics in Improving Students' Concept Understanding: A Meta-Analysis
    M Ibrahim, HRP Negara
    Ulul Albab: Majalah Universitas Muhammadiyah Mataram 29 (1), 57-67 , 2025
    2025
    Citations: 2
  • Jarimatika: Permainan Berhitung Cepat Bagi Anak Sekolah Dasar
    ZL Mm, N Azizah, R Rian, J Utama, P Sari, N Solehah, N Aini, N Indriani, ...
    Abdinesia: Jurnal Pengabdian Kepada Masyarakat 5 (1), 1-5 , 2025
    2025
  • STEM Learning for Students Mathematical Numeracy Ability
    M Ibrahim, H Herwin, H Retnawati, FM Firdaus, U Umar, M Mufidah
    European Journal of STEM Education 9 (1), 20 , 2024
    2024
    Citations: 10
  • ANALISIS LEARNING LOSS MAHASISWA SISTEM INFORMASI PADA MATA KULIAH ALJABAR LINEAR
    R Riana, M Ibrahim, S Sunardi
    Jurnal Lebesgue: Jurnal Ilmiah Pendidikan Matematika, Matematika dan … , 2024
    2024
  • Evaluasi keterlibatan siswa dalam lingkungan pembelajaran daring: Tinjauan sistematis literatur
    M Ibrahim, R Riana, S Soraya
    Jurnal Ulul Albab 28 (2), 112 , 2024
    2024
    Citations: 11
  • Pengaruh Pemberian Pupuk Organik Cair (POC) Kipahit (Tithonia Diversifolia) dan AB Mix Terhadap Pertumbuhan dan Hasil Tanaman Pakcoy (Brassica Rapa L.) Secara Hidroponik Dengan …
    M Ibrahim
    Universitas Muhammadiyah Purwokerto , 2024
    2024
  • Positive Dicipline Parenitng: Mathematics Learning Strategies for Elementary School Students Self-Confidence
    M Ibrahim, P FAUZIAH, R Riana, G Muzdybayeva
    IJECA. INTERNATIONAL JOURNAL OF EDUCATION AND CURRICULUM APPLICATION … , 2024
    2024
  • Analysis of the Accuracy Level of Ensemble Learning Methods with Various Modifications in Time Series Data Forecasting
    A Solehah, WA Khattak, M Ibrahim, F Zahro
    Journal of Tamora Science and Modeling 1 (2), 94-102 , 2023
    2023
  • Implementasi Program Kampus Mengajar Angatan 6 Dalam Meningkatkan Kompetensi Literasi Dan Numerasi Peserta Didik
    N Hikami, WS Nufusita, M Ibrahim, M Akrom, R Riana
    KREASI: Jurnal Inovasi Dan Pengabdian Kepada Masyarakat 3 (3), 510-520 , 2023
    2023
    Citations: 11
  • Comparison of coastal wind speed in Southeast Asian Countries using ANN backpropagation algorithm
    Syaharuddin, DR Muharani, M Ibrahim, V Mandailina
    IOP Conference Series: Earth and Environmental Science 1267 (1), 012014 , 2023
    2023
    Citations: 1
  • One decade of temperature change at the North Pole and South Pole using ANN backpropagation algorithm
    Syaharuddin, Y Yasmin, M Ibrahim
    IOP Conference Series: Earth and Environmental Science 1267 (1), 012013 , 2023
    2023
  • Rancangan media pembelajaran polinomial berbasis MATLAB
    HRP Negara, KRA Kurnaiwati, M Ibrahim, M Fathoni
    Journal of Millenial Education 2 (2), 187-200 , 2023
    2023
    Citations: 2
  • Rainfall Classification Using Hierarchical Clustering Method: Lombok Case Study
    M Ibrahim, S Goyal
    Journal of Tamora Science and Modeling 1 (1), 38-45 , 2023
    2023
    Citations: 1
  • Pendampingan Persiapan Akreditasi Sekolah di SDN 3 Suralaga
    LM Fauzi, M Gazali, N Hayati, R Satriawan, Z Wardi, M Ibrahim, D Fadilah, ...
    Al-Mu'awanah 4 (1), 1-13 , 2023
    2023
  • Interrelation of learning model and peer interaction through motivation on achievement
    S Rody Satriawan, F Lalu Muhammad Fauzi, S Sri Supiyati, ...
    Jurnal Elemen, 9 (2), 464-474 , 2023
    2023
    Citations: 1
  • Pendidikan Multikultural Berbasis Kearifan Lokal (Studi Kasus pada Tradisi Makan Berhadap Suku Melayu)
    N Nurabiyah, MM Ibrahim, AH Ok
    TABYIN: JURNAL PENDIDIKAN ISLAM 4 (2), 109-125 , 2022
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • Aplikasi Sistem Informasi Desa Sebagai Teknologi Tepat Guna Untuk Pendataan Penduduk Dan Potensi Desa
    S Syaharuddin, M Ibrahim
    Jurnal Masyarakat Mandiri 1 (1), 60-67 , 2017
    2017
    Citations: 56
  • Meta analisis: Keefektifan STEM terhadap kemampuan berpikir kreatif siswa
    M Amin, M Ibrahim, A Alkusaeri
    Journal of Authentic Research on Mathematics Education (JARME) 4 (2), 248-262 , 2022
    2022
    Citations: 46
  • Pelatihan pembelajaran daring (google classroom) bagi guru MTs dan MI nurul yaqin Kelanjur
    A Ahmad, HRP Negara, M Ibrahim, D Etmy
    JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter 3 (1), 66-79 , 2020
    2020
    Citations: 43
  • Penerapan metode pembelajaran blended learning dalam meningkatkan pemahaman konsep hasil belajar siswa: sebuah meta-analisis
    J Jumaini, HH Hertin, M Nisfiyati, M Ibrahim
    Al Khawarizmi: Jurnal Pendidikan Dan Pembelajaran Matematika 5 (1), 48-63 , 2021
    2021
    Citations: 39
  • The Influence of Product Quality and Service Quality on Consumer Satisfaction
    M Ibrahim, SM Thawil
    Journal of Management and Business Research (JRMB) UNIAT Faculty of … , 2019
    2019
    Citations: 26
  • UTAUT: Analysis of usage level of Android applications as learning media in Indonesian educational institutions
    V Mandailina, S Saddam, M Ibrahim, S Syaharuddin
    IJECA (International Journal of Education and Curriculum Application) 2 (3), 16 , 2019
    2019
    Citations: 24
  • Peningkatan kepercayaan diri siswa terhadap matematika dengan menggunakan pendekatan CTL (REACT)
    M Ibrahim
    Jurnal Tatsqif 16 (1), 55-77 , 2018
    2018
    Citations: 23
  • Perbandingan hasil belajar berdasarkan penggunaan software Maple dan Geogebra: Sebuah meta analisis
    W As’ari, DD Dirganti, S Syaharuddin, M Ibrahim, HRP Negara, L Sucipto
    JUSTEK: Jurnal Sains Dan Teknologi 5 (1), 1-10 , 2022
    2022
    Citations: 13
  • Designing STEM–based learning management system using moodle as a distance learning alternative in basic calculus courses
    M Ibrahim, S Sunardi, LMY Isnaini
    Jurnal Teori dan Aplikasi Matematika 6 (1), 154-162 , 2022
    2022
    Citations: 13
  • LKS himpunan: Sebuah pengembangan matematika integrasi
    R Riana, M Ibrahim
    Jurnal Teori dan Aplikasi Matematika 3 (2), 162-167 , 2019
    2019
    Citations: 12
  • Evaluasi keterlibatan siswa dalam lingkungan pembelajaran daring: Tinjauan sistematis literatur
    M Ibrahim, R Riana, S Soraya
    Jurnal Ulul Albab 28 (2), 112 , 2024
    2024
    Citations: 11
  • Implementasi Program Kampus Mengajar Angatan 6 Dalam Meningkatkan Kompetensi Literasi Dan Numerasi Peserta Didik
    N Hikami, WS Nufusita, M Ibrahim, M Akrom, R Riana
    KREASI: Jurnal Inovasi Dan Pengabdian Kepada Masyarakat 3 (3), 510-520 , 2023
    2023
    Citations: 11
  • Pelatihan Pembelajaran Daring (Google Classroom) bagi Guru MTs dan MI Nurul Yaqin Kelanjur
    NHR PERWIRA, M Ibrahim, D Etmy
    JPMB: JURNAL PEMBERDAYAAN MASYARAKAT BERKARAKTER Учредители: Pusat … , 2020
    2020
    Citations: 11
  • STEM Learning for Students Mathematical Numeracy Ability
    M Ibrahim, H Herwin, H Retnawati, FM Firdaus, U Umar, M Mufidah
    European Journal of STEM Education 9 (1), 20 , 2024
    2024
    Citations: 10
  • Penelusuran Referensi Berbasis Digital sebagai Peningkatan Soft Skill Mahasiswa dalam Menyelesaikan Tugas Akhir
    S Syaharuddin, HR Perwira Negara, M Ibrahim, V Mandailina, D Pramita, ...
    Selaparang 3 (2), 151-155 , 2021
    2021
    Citations: 10
  • Evaluasi Program Bidang Pendidikan
    MM Ibrahim
    Makassar: Alauddin University Press , 2013
    2013
    Citations: 10
  • The effect of the Realistic Mathematic Education (RME) learning model on students’ mathematical problem solving abilities: A meta-analysis
    HRP Negara, M Ibrahim, KRA Kurniawati, A Firdaus, R Maulidina, ...
    Justek: Jurnal Sains dan Teknologi 4 (1), 40-51 , 2021
    2021
    Citations: 8
  • Mathematical model of growth in the number of students in NTB using Newton-Gregory polynomial method
    HRP Negara, M Ibrahim, KRA Kurniawati
    Jurnal Varian 4 (1), 43-50 , 2020
    2020
    Citations: 8
  • Mengidentifikasi dan mengembangkan kemampuan penalaran statistis
    HRP Negara
    2019
    Citations: 8
  • Pemahaman Konsep Siswa Pada Materi Bangun Datar Terhadap Hasil Belajar Dimensi Tiga
    M Ibrahim
    Jurnal Teori dan Aplikasi Matematika 2 (2), http://journal.ummat.ac.id/index … , 2018
    2018
    Citations: 8