Mahyudin Ritonga

@umsb.ac.id

Faculty of Islamic Studies
Muhammadiyah University of West Sumatera



                       

https://researchid.co/mahyudinritonga

RESEARCH INTERESTS

Arabic as Foreign Language
Islamic Studies
Islamic Education

76

Scopus Publications

3508

Scholar Citations

32

Scholar h-index

91

Scholar i10-index

Scopus Publications

  • Optimized convolutional neural network deep learning for Arabian handwritten text recognition
    Mahyudin Ritonga, Manoj L. Bangare, Pushpa Manoj Bangare, Sunil L. Bangare, Seema Sachin Vanjire, Kavita Moholkar, Kishori Kasat, and Purnama Rozak

    Institute of Advanced Engineering and Science
    In general, the term handwritten character recognition (HCR) refers to the process of recognizing handwritten characters in any form, whereas handwritten text recognition (HTR) refers to the process of reading scanned document images that include text lines and converting those text lines into editable text. The identification of recurring structures and configurations in data is the primary focus of the field of machine learning known as pattern recognition. Optical character recognition, often known as OCR, is a challenging issue to solve when it comes to the field of pattern recognition. This article presents machine learning enabled framework for accurate identification of Arabian handwriting. This framework has provisions for image processing, image segmentation, feature extraction and classification of handwritten images. Images are enhanced using contrast limited adaptive histogram equalization (CLAHE) algorithm. Image segmentation is performed by k-means algorithm. Classification is performed using convolutional neural network (CNN) VGG 16 and support vector machine (SVM) algorithm. Classification accuracy of CNN VGG 16 is 99.33%.

  • Analysis of Graduate Students Using Machine Learning to Forecast Student’s Employability and Academic Success
    Mahyudin Ritonga, P. Kiran Rao, Khaled A. Z. Alyamani, Mohd Naved, Malik Jawarneh, and Prathipati Ratna Kumar

    Springer Nature Switzerland

  • Internet of things and optimized knn based intelligent transportation system for traffic flow prediction in smart cities
    Sunkara Teena Mrudula, Meenakshi, Mahyudin Ritonga, S. Sivakumar, Malik Jawarneh, Sammy F, T. Keerthika, Kantilal Pitambar Rane, and Bhaskar Roy

    Elsevier BV

  • LMS or Skyroom: Which is More Practical in Learning Language Skills, Learners' Autonomy, and Online Engagement?


  • The effectiveness of distance Arabic learning for Indonesian speakers using YouTube channels
    Uril Bahruddin, Mahyudin Ritonga, Muh. Faruq, and Muhammad Fadli Ramadhan

    Institute of Advanced Engineering and Science
    Learning Arabic online is faced with several problems, including the ineffective use of learning media. This study aims to describe the tendency of Arabic learners through the Dars Arabi YouTube channel video media, and the relationship between the learner's propensity and the variables of gender, age, and educational background channel users Dars Arabi. This study uses a descriptive statistical method. The sample selection was taken randomly as many as 160 people from a population of around 17,800 YouTube channel subscribers Dars Arabi. This study's findings indicate that the tendency of online Arabic learners is at a moderate average level. This study also shows no statistically significant difference between trends in YouTube channel users and the variables of gender, educational background, and users' age. This study's conclusion shows the importance of using YouTube media in learning Arabic with content that is fun and can be enjoyed by all groups of society in a relaxed manner.

  • ENHANCING ARABIC LANGUAGE LEARNING IN HIGHER EDUCATION: LEVERAGING E-CAMPUS AS AN ONLINE LEARNING AND EVALUATION PLATFORM
    Mahyudin Ritonga, Adam Mudinillah, Eva Ardinal, Tauhid Tauhid, and Talqis Nurdianto

    SCAD Independent
    The Industrial Revolution era is a time that requires the connection between technology and various aspects of life, including education. But there are still many educational institutions that have not responded well regarding the use of technology in learning, therefore this study aimed to determine the use of E-campus as an online learning media and Arabic learning evaluation media in higher education. The research was conducted at Islamic State University of Batusangkar, the approach used was quantitative with a survey research design. The results of the study stated that E-campus could be used as an alternative in carrying out Arabic language learning, completeness of features, ease of access, and clarity of access as evidence that E-campus was effectively used for online classes in Arabic language learning, until now no features have been found in E-Campus that can be used to evaluate and measure Arabic speaking skills. The utilization of E-campus in Arabic language learning brings great benefits and influences for lecturers and students. The limitation of this study is that researchers did not design an E-campus platform that has complete features to measure four Arabic speaking skills for students, therefore future researchers can conduct research aimed at creating an E-campus model that has more complete features.

  • The effect of technology on Arabic language learning in higher education
    Mahyudin Ritonga, Adam Mudinillah, Wasehudin Wasehudin, Julhadi Julhadi, Amrina Amrina and M. Shidqi

    Institute of Advanced Engineering and Science
    Technology is advancing and developing, and we cannot let go of our lives. One of them is in the world of education, the use of technology is often found. teachers combine technological devices in the learning process so that the learning atmosphere becomes more interesting, not only with increasingly open technological developments and the spread of information and knowledge throughout the world across the boundaries of space and time. Thus, technological developments have a positive impact on educators and students. In this study, researchers measured the extent to which the application of this technology in the learning process was highly valued. For this reason, this research aims to find out the impact of technology on Arabic language learning at the Batusangkar Institute State Islamic University. The method used in this research is a survey research method. Data collection uses observation, interviews and questionnaires. Furthermore, the expected result of this research is to find out the role or influence of technology on Arabic language learning activities in higher education. Based on the research results, it can be seen that there is an influence or influence of technology on Arabic language learning at the Batusangkar State Islamic Institute.

  • ChatGPT and Active Learning: A New Paradigm for Student Participation in the Classroom
    Adiyono Adiyono, Jasiah Jasiah, Mahyudin Ritonga, and Ali Said Al-Matari

    Chapman and Hall/CRC

  • Design of Automated Smart Attendance System Using Deep Learning Based Face Recognition
    Ritonga Mahyudin, Domenic T. Sanchez, S Teena Mrudula, Ravi Kishore Veluri, Jawarneh Malik, and Abhishek Raghuvanshi

    IEEE
    The process of taking attendance in the traditional manner is one that is both laborious and time-consuming. Face recognition and identification technology was developed with the primary objective of providing a timesaving automated solution for tracking attendance. This article presents Design of automated smart attendance system using deep learning based face recognition. Camera IoT devices are used to acquire images. These images are stored in cloud via IoT gateway. Images contain many noises. To remove or reduce these noises, adaptive median filter are used. Once noise is removed, then images quality is enhanced by particle swarm optimization. Enhanced images are classified by CNN, CNN VGG 16 and Xception CNN deep learning techniques. Performance is compared on the basis of metrics like- accuracy, specificity and recall. Xception CNN is outperforming other techniques used in the framework. Accuracy, Specificity and Recall rate of Xception CNN is 99.33%, 98.66% and 99.33 percent respectively.

  • Engagement in On-line Language Assessment: are test-taking skills, self-assessment, resilience, and autonomy critical?
    Mahyudin Ritonga, Ahmad Abdulkareem Shaban, Anwar Hammad Al-Rashidi, and Noam Chilani

    Springer Science and Business Media LLC
    AbstractEvery decision made in the classroom has the potential to either help or hurt a student’s development as a learner. When students’ mental and emotional well-being are taken into account, effective instruction and assessment are possible, despite the importance of learners’ engagement in assessment (LEA), test-taking skills (TTS), self-assessment (SA), learner resilience (LR), and learner autonomy (LA). As a result, this study attempted to illustrate the dynamic between LEA, TTS, SA, LR, and LA. To this end, 435 English as a foreign language (EFL) students at intermediate levels in Afghanistan were given copies of the Test-taking Skills Scale (TTSS), the core of self‑assessments questionnaire (CSAQ), The Academic Resilience Scale (ARS), the learner autonomy questionnaire (LAQ), and the learner engagement in on-line assessment (LEOA). Confirmatory factor analysis (CFA) and structural equation modeling (SEM) screening of the data revealed that resilient EFL students feel better at on-line assessment and in pursuing their objectives. The mediating effects of TTS and SA on LR and LA and consequently Engagement in On-line Assessment were specifically identified. The survey’s ramifications, which may improve language learning and assessment, are reviewed at length.

  • VIOLATION OF WOMEN'S RIGHTS ON DIVORCE: STUDY ON RELIGIOUS COURT DECISION
    Kholidah, Muhammad Ridho, Sobhan, and Mahyudin Ritonga

    South Florida Publishing LLC
    Objective: This study aimed to show the causes of post-divorce violations of women's rights and the implications of religious court decisions on women which violate their rights. This objective is based on the fact that various problems in marriage cause women to sometimes file for legal divorce from their husbands. However, religious court decisions on divorce have violated women's rights, both the right to maintenance and mut'ah.
  
 Theoretical Framework: Divorce and its settlement in religious courts in Indonesia have problems that sometimes disadvantage women.
  
 Method: The research was conducted with a qualitative approach, this is based on the data studied which are facts and documents related to religious courts on divorce. This study used two data collection methods, namely documentation of Religious Court decisions through directories and interviews.
  
 Results and Conclusion: The decision was confirmed to informants through interviews with a number of judges and women as plaintiffs. Based on the results, the Religious Court decision on divorce violating women's rights produces poverty and life stress for women. Women do not get justice because the Religious Court decision creates gender bias. Therefore, it takes courage from judges in deciding divorce cases to realize 3 legal objectives and a legislative review of several articles in Law on Marriage for the reformulation of Islamic Family Law in Indonesia.
  
 Research Implications: The results of the study have implications for changes in religious court decisions on divorce, so that they are no longer detrimental to divorced wives.
  
 Originality/value: Changes in the religious court system towards the problem of divorce are urgently needed, the fulfillment of the rights of wives who are victims of divorce must be the main aspect to be considered by judges.

  • Machine learning techniques for accurate classification and detection of intrusions in computer network
    Mutyalaiah Paricherla, Mahyudin Ritonga, Sandip R. Shinde, Smita M. Chaudhari, Rahmat Linur, and Abhishek Raghuvanshi

    Institute of Advanced Engineering and Science
    An incursion into the computer network or system in issue occurs whenever there is an attempt made to circumvent the defences that are in place. Training and examination are the two basic components that make up the intrusion detection system (IDS) and each one may be analysed separately. During training, a number of distinct models are built, each of which is able to distinguish between normal and abnormal behaviours that are included within the dataset. This article proposes a combination of ant colony optimization (ACO) and the firefly approach for feature selection. The final outcome of giving careful thought to the selection of features will eventually result in greater accuracy of categorisation. When classifying various sorts of features, we make use of a wide variety of machine learning (ML) algorithms, including AdaBoost, gradient boost, and Bayesian network (BN), amongst others. The tests and assessments made use of data obtained from three distinct datasets, namely NSL-KDD, UNSW-NB15, and CICIDS 2017. The degree of performance of an individual may be broken down into its component parts, which include the F1 score, accuracy, precision, and recall. Gradient boost performs far better when it comes to recognising and classifying incursions.

  • The effectiveness of Google chat as the platform for Islamic education learning activities
    Mahyudin Ritonga, Armi Gusvita, Romi Saputra, and Meliza Budiarti

    AIP Publishing


  • Google classroom as learning platform: A review study on Madrasah Diniyah Takmiliyah Awwaliyah
    Mahyudin Ritonga, Fitria Sartika, Liza Warni, and Umi Hanifah

    AIP Publishing

  • Learning for early childhood using the IcanDO platform: Breakthroughs for golden age education in Arabic learning
    Mahyudin Ritonga, Rosniati Hakim, Talqis Nurdianto, and Apri Wardana Ritonga

    Springer Science and Business Media LLC

  • Goverment Control of Islamic Ideology Movement: A Case of Indonesia
    Ristapawa Indra, Mahyudin Ritonga (Corresponding Author), and Fitrah Santosa

    Univ. of Malaya
    Differences in views in the first precepts of the Pancasila version of the Jakarta Charter of 22 June 1945 became a genealogical factor that caused some Islamic groups to struggle relentlessly in realizing Islam as the basis of the philosophy and ideology of the state. Part of these groups' movements is compromise and radicalism. Therefore, this research aims to examine non-mainstream Islamic movements in the Indonesian political system. The phenomenological constructivism approach is used in understanding the views of the New Order and the Reform regimes in dealing with non-mainstream Islamic movements, through interview techniques and document analysis. These results showed that radical issues far exceed the normal level of Islamic movements in Indonesia. Furthermore, there is concern that certain groups oriented towards Islamic movements in Indonesia are more co-opted in the anti-Islamic global network sponsored by the United States and the West. The status of the New Order and Reform Regimes did not differ significantly in addressing various state issues related to the Islamic movement. For both regimes, non-mainstream Islamic movements should be strictly controlled. The most effective political instruments to control Islamic nationalist groups whose views differ from secular nationalist in terms of Pancasila as the state ideology are radical issues and terrorism.



  • Human Resource Management in Islamic Educational Institutions to Improve Competitiveness in Society 5.0 Era
    Julhadi and Mahyudin Ritonga

    International Information and Engineering Technology Association

  • Incorporating Natural Language Processing into Virtual Assistants: An Intelligent Assessment Strategy for Enhancing Language Comprehension
    Franciskus Antonius, Purnachandra Rao Alapati, Mahyudin Ritonga, Indrajit Patra, Yousef A. Baker El-Ebiary, Myagmarsuren Orosoo, and Manikandan Rengarajan

    The Science and Information Organization
    — The study introduces a comprehensive technique for enhancing the Natural Language Processing (NLP) capabilities of virtual assistant systems. The method addresses the challenges of efficient information transfer and optimizing model size while ensuring improved performance, with a primary focus on model pertaining and distillation. To tackle the issue of vocabulary size affecting model performance, the study employs the SentencePiece tokenizer with unigram settings. This approach allows for the creation of a well-balanced vocabulary, which is essential for striking the right balance between task performance and resource efficiency. a novel pre-layernorm design is introduced, drawing inspiration from models like BERT and RoBERTa. This optimization optimizes the placement of layer normalization within transformer layers during the pretraining phase. Teacher models are effectively trained using masked language modeling objectives and the Deepspeed scaling framework. Modifications to model operations are made, and mixed precision training strategies are explored to ensure stability. The two-stage distillation method efficiently transfers knowledge from teacher models to student models. It begins with an intermediate model, and the data is distilled carefully using logit and hidden layer matching techniques. This information transfer significantly enhances the final student model while maintaining an ideal model size for low-latency applications. In this approach, innovative measurements, such as the precision of filling a mask, are employed to assess the effectiveness and quality of the methods. The findings demonstrate substantial improvements over publicly available models, showcasing the effectiveness of the strategy within complete virtual assistant systems. The proposed approach confirms the potential of the technique to enhance language comprehension and efficiency within virtual assistants, specifically addressing the challenges posed by real-world user inputs. Through extensive testing and rigorous analysis, the capability of the method to meet these objectives is validated.

  • Strategic Role of Trust in Digital Communication: Critical Insights into Building Organizational Sustainability
    Miftachul Huda, Abdul Hadi Borham, Azmil Hashim, Mahyudin Ritonga, Mohammad Nabil Almunawar, Muhammad Anshari, Roslee Ahmad, and Hafizul Fahri Hanafi

    Springer Nature Switzerland


  • Towards Digital Servant Leadership for Organisational Stability: Driving Processes in the Pandemic Age
    Miftachul Huda, Ahmad Faizuddin bin Ramli, Mahyudin Ritonga, Mohamad Marzuqi Bin Abdul Rahim, Abd Hadi Borham, Azmil Hashim, Hafizul Fahri Hanafi, and Nor Kalsum Mohd Isa

    Routledge

  • From Digital Ethics to Digital Partnership Skills: Driving a Safety Strategy to Expand the Digital Community?
    Miftachul Huda, Ahmad Faizuddin bin Ramli, Mahyudin Ritonga, Mohamad Marzuqi Bin Abdul Rahim, Abd Hadi Borham, Azmil Hashim, Husna Husain, and Kalsum Mohd Isa

    Routledge

RECENT SCHOLAR PUBLICATIONS

  • Optimized convolutional neural network deep learning for Arabian handwritten text recognition
    M Ritonga, ML Bangare, PM Bangare, SL Bangare, SS Vanjire, ...
    Bulletin of Electrical Engineering and Informatics 14 (2), 1497-1506 2025

  • The Role of Future Technology in the Preparation of Prospective Teachers
    M Ritonga, S Ritonga, A Mudinillah, Julhadi, IE Putra
    AI-Driven: Social Media Analytics and Cybersecurity, 251-274 2025

  • Digital Storytelling: Developing Twenty-First Century Skills in Arabic Language Education
    M Ritonga, Asrina, S Purnamasari, A Mudinillah, Bambang, Y Nurbayan
    AI-Driven: Social Media Analytics and Cybersecurity, 219-233 2025

  • Kontribusi Pendidikan Bahasa terhadap Keberhasilan Studi Keislaman
    K Firdaus, M Ritonga, AH Hanafi, M Mursal
    Innovative: Journal Of Social Science Research 5 (1), 2020-2036 2025

  • Epistemology of Knowledge: Bridging Western and Islamic Thought
    M Ritonga, R Saputra
    Solo International Collaboration and Publication of Social Sciences and 2025

  • PENDIDIKAN KEWIRAUSAHAAN DALAM AL-QUR’AN
    M Ritonga
    Jurnal Tahsinia 5 (9), 1254-1265 2024

  • KONSEP MAQASID SYARIAH DALAM MENGATASI TANTANGAN SOSIAL DAN BUDAYA DI ERA GLOBALISASI
    AA Pahutar, M Ritonga, AH Hanafi
    Dakwatul Islam 9 (1), 59-86 2024

  • TRANSFORMING ARABIYA BAINA YADAIK LEARNING: GROUP AND INDIVIDUAL REMEDIAL STRATEGIES FOR ACADEMIC ACHIEVEMENT
    A Putra, M Ritonga, R Rahmawati
    El-Tsaqafah: Jurnal Jurusan PBA 23 (2), 171-182 2024

  • Istikhdām Tharīqah At-Tahqiq Al-Jamā'ī (Investigasi Kelompok) wa Hil Al-Musykilāt (Pemecahan Masalah) Li Tarqiyati Mahārah Al-Kalām Ladai At-Tullab fi Al-Madrasah Al-'Aliyah
    H Marlina, M Ritonga
    Lughawiyyat: Jurnal Pendidikan Bahasa dan Sastra Arab 7 (2), 137-148 2024

  • Internet of things and optimized knn based intelligent transportation system for traffic flow prediction in smart cities
    ST Mrudula, M Ritonga, S Sivakumar, M Jawarneh, T Keerthika, KP Rane, ...
    Measurement: Sensors 35, 101297 2024

  • LMS or Skyroom: Which is More Practical in Learning Language Skills, Learners' Autonomy, and Online Engagement?
    M Ritonga, AH Al-Rahbi, SM Ismail
    Computer-Assisted Language Learning Electronic Journal 25 (4), 335-357 2024

  • T TPACK Approach to Improving HOTS in Arabic Language Learning: Strategies and Challenges
    Y Ahmadi, HW Triana, M Ritonga
    Shaut al Arabiyyah 12 (2) 2024

  • Politik Islam Inklusif dalam Perspektif Rached Ghannauchi
    NS Khudri, M Ritonga, SA Saifullah
    Jurnal Ilmiah Muqoddimah: Jurnal Ilmu Sosial, Politik, dan Humaniora 8 (3 2024

  • Analisis Pembinaan Karakter: Membangun Transformasi Insan Kamil Menurut Pemikiran Imam Al-Ghazali
    R Ariani, M Ritonga
    Jurnal Inovatif Manajemen Pendidikan Islam 3 (2), 174-187 2024

  • The Development of Human Resources in Realizing a Madani Society Based on the Quran
    M Ritonga, SA Syaifullah
    WARAQAT: Jurnal Ilmu-Ilmu Keislaman 9 (1), 166-177 2024

  • Konflik Pembagian Warisan di Desa Bonan Dolok: Pertentangan Antara Adat dan Hukum Kewarisan Islam
    R Ritonga, M Ritonga
    Islamic Circle 5 (1), 82-93 2024

  • Mushkilāt Al-Talāmīdh fī Ta’allum Al-Nuşūş Al-‘Arabiyah fī Ma’had Bait Al-Raḥmān bi Sūmatrah al-Shamaliah
    M Batubara, HW Triana, M Ritonga
    HuRuf Journal: International Journal of Arabic Applied Linguistic 4 (1), 91-100 2024

  • SOREN KIERKEGAARD'S EXISTENTIALISM: A STUDY ON HOW TO ENJOY LIFE DURING THE POST-TRUTH ERA
    R Saputra, M Ritonga
    Al-A'raf: Jurnal Pemikiran Islam dan Filsafat 21 (1), 131-156 2024

  • Development Of Augmented Reality Arabic For Islamic Tourism: Sustainable Education Need Analysis
    MN Jaffar, A Ab Rahman, KRA Hamed, MI Ahmad, M Ritonga, MHN Azam
    Ijaz Arabi Journal of Arabic Learning 7 (2) 2024

  • Technology for Arabic Learning as Foreign Language at Elementary School
    AR Ritonga, AW Ritonga, M Ritonga, A Desrani
    Tanwir Arabiyyah: Arabic As Foreign Language Journal 4 (1), 41-56 2024

MOST CITED SCHOLAR PUBLICATIONS

  • Pembelajaran Bahasa Arab Berbasis Teknologi Informasi Dan Komunikasi Di Kota Padang
    R Mahyudin, N Alwis, W Sri
    Arabiyat: Jurnal Pendidikan Bahasa Arab Dan Kebahasaaraban 3 (1), 1-12 2016
    Citations: 161

  • E-learning process of maharah qira'ah in higher education during the COVID-19 pandemic
    AW Ritonga, M Ritonga, T Nurdianto, M Kustati, R Rehani, A Lahmi, ...
    International Journal of Higher Education 9 (6), 227-235 2020
    Citations: 117

  • Duolingo: An Arabic speaking skills’ learning platform for andragogy education
    M Ritonga, SR Febriani, M Kustati, E Khaef, AW Ritonga, R Yasmar
    Education Research International 2022 (1), 7090752 2022
    Citations: 112

  • Arabic Language Learning Reconstruction as a Response to Strengthen" Al-Islam" Studies at Higher Education.
    M Ritonga, H Widodo, T Nurdianto
    International Journal of Evaluation and Research in Education 10 (1), 355-363 2021
    Citations: 107

  • Pengaruh Penggunaan Media Powerpoint Terhadap Minat Belajar Bahasa Arab Siswa
    E Susanti, M Ritonga, B Bambang
    Arabiyatuna: Jurnal Bahasa Arab 4 (1), 179-191 2020
    Citations: 106

  • Pemanfaatan media pembelajaran dalam meningkatkan motivasi dan hasil belajar PAI di sekolah dan madrasah
    F Sartika, E Desriwita, M Ritonga
    Humanika, Kajian Ilmiah Mata Kuliah Umum 20 (2), 115-128 2020
    Citations: 94

  • Implementasi karakter disiplin dalam kurikulum 2013 pada bidang studi PAI di SMA Islam terpadu darul hikmah
    M Yusuf, M Ritonga, M Mursal
    Jurnal Tarbiyatuna 11 (1), 49-60 2020
    Citations: 92

  • Arabic as foreign language learning in pandemic COVID-19 as perceived by students and teachers
    M Ritonga, M Kustati, M Budiarti, A Lahmi, M Asmara, R Kurniawan, ...
    Linguistics and Culture Review 5 (1), 75-92 2021
    Citations: 88

  • Analysis of Arabic language learning at higher education institutions with multi-religion students
    M Ritonga, R Widayanti, F Alrasi, S Halim
    Universal Journal of Educational Research 2020
    Citations: 77

  • Pengembangan Model Pembelajaran Bahasa Arab Berbasis Teknologi Informasi Dan Komunikasi Dalam Dialektika Revolusi Industri 4.0
    M Ritonga, A Nazir, S Wahyuni
    Deepublish 2020
    Citations: 72

  • RETRACTED ARTICLE: The contribution of Amil Zakat, Infaq and Shadaqah Muhammadiyah (LAZISMU) institutions in handling the impact of Covid-19
    M Mursal, M Ritonga, F Sartika, A Lahmi, T Nurdianto, L Alam
    Journal of Sustainable Finance & Investment 13 (1), 118-124 2023
    Citations: 71

  • The influence of using audio-lingual method on students’ speaking skill in Madrasah Diniyah Takmiliyah Awwaliyyah
    A Aprianto, M Ritonga, Y Marlius, R Nusyur
    Izdihar: Journal of Arabic Language Teaching, Linguistics, and Literature 3 2020
    Citations: 66

  • Implementation of Contextual Teaching and Learning in Islamic Education at Madrasah Diniyah
    R Hakim, M Ritonga, K Khadijah, W Susanti
    Journal of Advanced Research in Dynamical and Control Systems 12 (2), 3326-3332 2020
    Citations: 63

  • An investigation of various applications and related challenges in cloud computing
    H Pallathadka, GS Sajja, K Phasinam, M Ritonga, M Naved, R Bansal, ...
    Materials Today: Proceedings 51, 2245-2248 2022
    Citations: 61

  • Muroja’ah Sebagai Metode Manghafal Al-Quran: Studi Pada Rumah Tahfiz Yayasan Ar-Rahmah Nanggalo Padang
    N Nurlaili, M Ritonga, M Mursal
    Menara Ilmu: Jurnal Penelitian dan Kajian Ilmiah 14 (2) 2020
    Citations: 52

  • The existence of yellow books (Kitab kuning) as the sources of islamic studies at islamic boarding schools within the industrial revolution dialectics
    M Ritonga
    Available at SSRN 3752816 2020
    Citations: 50

  • Implementation of Islamic Religious Education in Madrasah Ibtidaiyah During Covid-19 Pandemic
    F Sartika, M Ritonga, A Rasyid
    Khalifa: Journal of Islamic Education 4 (2), 1442 2020
    Citations: 47

  • Online learning in the low Internet area, planning, strategies and problems faced by students during the Covid-19 period
    F Sartika, M Ritonga, A Lahmi, A Rasyid, SR Febriani
    Artificial intelligence for COVID-19, 413-421 2021
    Citations: 45

  • REMOVED: Machine learning in health condition check-up: An approach using Breiman's random forest algorithm
    YM Abd Algani, M Ritonga, BK Bala, MS Al Ansari, M Badr, AI Taloba
    Measurement: Sensors 23, 100406 2022
    Citations: 44

  • The role of parents in forming morality adolescents puberty in globalization era
    AL Azhar, A Rasyid, M Ritonga, R Saputra
    International Journal of Future Generation Communication and Networking 13 2020
    Citations: 43