Mahyudin Ritonga
@umsb.ac.id
Faculty of Islamic Studies
Muhammadiyah University of West Sumatera
RESEARCH INTERESTS
Arabic as Foreign Language
Islamic Studies
Islamic Education
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
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.
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.
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.
Mahyudin Ritonga, Armi Gusvita, Romi Saputra, and Meliza Budiarti
AIP Publishing
A. Alfizal, Mahyudin Ritonga, and M. Mafardi
AIP Publishing
Mahyudin Ritonga, Fitria Sartika, Liza Warni, and Umi Hanifah
AIP Publishing
Mahyudin Ritonga, Rosniati Hakim, Talqis Nurdianto, and Apri Wardana Ritonga
Springer Science and Business Media LLC
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.
Yousef Methkal Abd Algani, Mahyudin Ritonga, B. Kiran Bala, Mohammed Saleh Al Ansari, Malek Badr, and Ahmed I. Taloba
Elsevier BV
Julhadi and Mahyudin Ritonga
International Information and Engineering Technology Association
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.
Miftachul Huda, Abdul Hadi Borham, Azmil Hashim, Mahyudin Ritonga, Mohammad Nabil Almunawar, Muhammad Anshari, Roslee Ahmad, and Hafizul Fahri Hanafi
Springer Nature Switzerland
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
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
Mahyudin Ritonga, Sri Wahyuni, and Hendri Novigator
F1000 Research Ltd
Background: The majority of Indonesians believe and act as if the only people who can learn and be taught Arabic are Muslims. This fact goes against the basic idea that language is a way to communicate. So, the goal of this study is to find out what opportunities and plans there are for non-Muslims in Indonesia to learn Arabic. The goal of this study is to get language back to its basic function of being a way to communicate. It can also be the basis for putting Wasathiyah Islam into practise in Indonesia. Methods: This study was carried out in accordance with the official guidelines for research ethics established by the Ministry of Higher Education Research in the Republic of Indonesia. Between June 11 and August 30, 2022, the research was done. The research was carried out with two approaches, namely quantitative first and followed by qualitative. After collecting and analysing data for a study, researchers submit their findings to reviewers appointed by Indonesia's Ministry of Research and Technology. Results: A total of 64 participants were surveyed, and based on their responses, the following was determined; Researchers conduct interviews directly with informants who are considered to have the ability to provide information related to research themes. Therefore, researchers conducted interviews with 24. First, non-Muslims in Indonesia should study Arabic since language is a communication instrument. This includes religion, ethnicity, and race not limiting language acquisition. Second, teaching non-Muslims Arabic in Indonesia will help to implement Wasathiyah Islam there. Non-Indonesian Muslims who know Arabic will be more tolerant. Third, because Arabic is a communication tool, there is no big challenge for non-Muslims to learn Arabic. Conclusion: However, in terms of obstacles, of course, there are many big obstacles, namely the unsupportive Arabic learning.
Mahyudin Ritonga, Apri Wardana Ritonga, Pahri, and S. Purnamasari
Springer International Publishing
Mahyudin Ritonga, Adam Mudinillah, Muhammad Zalnur, and Fauzul Fil Amri
Springer International Publishing
L. Anand, Shivlal Mewada, WameedDeyah Shamsi, Mahyudin Ritonga, Noza Aflisia, Prakash KumarSarangi, and Moses NdoleArthur
Hindawi Limited
Cancer has a disproportionately large influence on the death rate of adults. A patient needs to get a diagnosis of their condition as quickly as is humanly feasible in order to have the greatest chance of surviving their sickness. Skilled medical professionals use medical imaging and other traditional diagnostic methods to search for clues that may indicate the presence of malignant tendencies inside the body. Nevertheless, manual diagnosis may be time-consuming and subjective owing to the wide range of interobserver variability induced by the enormous number of medical imaging data. This variability is caused by the fact that medical imaging data are collected. Because of this, the process of accurately diagnosing a patient could become more difficult. To execute jobs that included machine learning and the interpretation of complicated imagery, cutting-edge computer technology was necessary. Since the 1980s, researchers have been working on developing a computer-aided diagnostic system that would help medical professionals in the early diagnosis of various malignancies. According to the most recent projections, prostate cancer will be discovered in the body of one out of every seven men at some time throughout the course of their life. It is unacceptable how many men are being told that they have prostate cancer, and the condition is responsible for the deaths of a rising number of men every year. Because of the high quality and multidimensionality of the MRI pictures, you will also need a powerful diagnosis system in addition to the CAD tools. Since it has been shown that CAD technology is beneficial, researchers are looking at methods to improve the accuracy, precision, and speed of the systems that use it. The effectiveness of CAD technology has been shown. This research proposes a strategy that is both effective and efficient for the processing of images and the extraction of features as well as for machine learning. This work makes use of MRI scans and machine learning in an effort to detect prostate cancer at an early stage. Histogram equalization is used while doing the preliminary processing on photographs. The image’s overall quality is elevated as a result. The fuzzy C means approach is used in order to segment the images. Using a Gray Level Cooccurrence Matrix (GLCM), it is feasible to extract features from a dataset. The KNN, random forest, and AdaBoost classification algorithms are used in the classification process.
Martin Kustati, Ristapawa Indra, Efendi, Mahyudin Ritonga, Nelmawarni, Yulia, and Awis Karni
Hindawi Limited
The study aimed to reveal the effect of nationalism, historical knowledge, religious moderation, Islamism, and radical thinking on radical behavior of the young generation in public high schools in Padang, West Sumatra, Indonesia. The samples were grade XII students from four schools out of 16 schools. All indicators met the requirements of the validity and reliability test with Cronbach’s alpha and confirmatory factor analysis (CFA). Convergent validity test (variance extracted (VE) ≥ 0.50) obtained three constructs that meet the requirements to proceed to the analysis structure mode. The finding showed that nationalism construct did not affect the radical behavior construct with Sig. 0.203 > 0.05, while religious moderation construct did not affect radical behavior construct with Sig. 0.629 > 0.05. Meanwhile, the results of the multiple regression analysis showed that the constructs of nationalism and religious moderation simultaneously did not affect the construct of radical behavior. The finding illustrated that public high school students in Padang had a good understanding of nationalism and a moderate attitude in religious life so that there was no potential for the radicalism behavior among the young generation, especially for public high school students in Padang, West Sumatra. The practical implication of this research is that the school leaderships will formulate controlled regulations regarding the implementation of religious and clerical activities carried out by the Intraschool Student Organization (ISSO). In short, they will not be infiltrated by radical ideas from external parties.
Mursal Mursal, Mahyudin Ritonga, Fitria Sartika, Ahmad Lahmi, Talqis Nurdianto, and Lukis Alam
Informa UK Limited
Mahyudin Ritonga, Fariba Farhangi, Bemnet Ajanil, and Ayman Farid Khafaga
Springer Science and Business Media LLC
AbstractIn spite of their pivotal role in language learning, psychological variables involved in language learning have received less attention in empirical research. Therefore, this paper tried to inspect the effects of interventionist DA, interactionist DA, and non-DA on EFL students’ SAF, FLCA, and FLLM. To achieve this goal, 78 respondents were chosen and randomly separated into three groups: EG1 (interactionist DA), EG2 (interventionist DA), and CG (non-DA). Before starting the treatment, the participants’ SAF, FLCA, and FLCM were checked through three related pretests. As the treatment, the non-DA students were given specific topics, and they were asked to discuss them without any DA-oriented interventions. The EG1 was evaluated and provided with the needed help by interaction-oriented DA techniques, whereas the EG2 was trained by DA-oriented instruction following Lantolf and Poehner’s (Language Teaching Research 15: 11–33, 2011) scales to measure and aid the students’ speaking ability in their discussions. At the end of the study, the post-tests of SAF, FLCA, and FLLM were administered to check the impacts of the treatment. Analyzing the data through one-way ANOVA tests, it was revealed the two models of DA (i.e., interactionist and interventionist) had a significant positive effect on EFL learners’ SAF. Moreover, it was revealed that both DA models not only increased the EFL learners’ motivation but also lowered their FLCA. This research has multiple implications for both EFL learners and teachers.
Mahyudin Ritonga, Khalil Tazik, Abdulfattah Omar, and Elham Saberi Dehkordi
Springer Science and Business Media LLC
AbstractAssessment is an inseparable part of teaching and learning, and it helps teachers and students to modify their teaching and learning processes. One type of assessment is peer assessment (PA), and its effects were examined on developing Iranian EFL learners’ reading comprehension (RC), reading motivation (RM) and vocabulary learning (VL) in this research. To achieve this goal, 60 Iranian EFL students at the intermediate level and with the age range of 18 to 26 years were selected based on a convenience sampling method and divided into two groups: the control group (CG) and experimental group (EG). After that, the groups took the pre-tests of RC, RM, and VL. The EG then was divided into six sub-groups of five, and PA was applied to evaluate their reading and vocabulary performances. The learners in the EG checked their classmates’ performances in peers with the teacher’s help. In the CG class, the participants themselves assessed their own performances after each test with the help of the teacher. After a 15-session treatment, the post-tests of vocabulary, RM, and RC were carried out on both groups. The outcomes of the one-way ANCOVA tests demonstrated that the EG outflanked the CG on the three post-tests of RC, RM, and VL. In fact, the results indicated that using PA generated positive effects on Iranian EFL learners’ RC, RM, and VL. It can be claimed that the PA is a practical technique to improve EFL learners’ language learning. The implications of this research can reduce students’ dependency on teachers and increase their independence in the evaluation process.