Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal JOIV : International Journal on Informatics Visualization Indonesian Journal of Electrical Engineering and Computer Science Madani: Multidisciplinary Scientific Journal Al-Fahmu: Jurnal Ilmu Al-Qur'an dan Tafsir
Umair, Muhammad
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Physics Public Health Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Kemampuan Penerapan Aturan Tata Bahasa Dalam Penulisan Bahasa Arab Emiyiati, Rifka; Amaliah, Rizaktul; Alfayed, Muhammad; Umair, Muhammad; Nasution, Sahkholid
Madani: Jurnal Ilmiah Multidisiplin Vol 1, No 12 (2024): Madani, Vol. 1 No. 12 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10452255

Abstract

Arabic language learning in Islamic educational institutions in Indonesia, especially in madrasahs, faces challenges primarily stemming from teacher weaknesses, suboptimal curricula, and often unsystematic materials. It is crucial to develop integrated learning materials that focus on grammar, consider difficulty levels, and provide practical exercises to enhance interest and learning outcomes. Efforts to improve the quality of Arabic language education should concentrate on teacher training to boost competence. Additionally, curriculum revisions, emphasizing the development of materials aligned with learners' needs, can be a strategic step. Ensuring active student involvement by creating engaging materials that follow challenging yet accessible learning principles is also essential. With these steps, it is anticipated that Arabic language learning in madrasahs will undergo significant positive changes.
Practical Evaluation of Federated Learning in Edge AI for IoT Pal, Sauryadeep; Umair, Muhammad; Tan, Wooi-Haw; Foo, Yee-Loo
JOIV : International Journal on Informatics Visualization Vol 7, No 3-2 (2023): Empowering the Future: The Role of Information Technology in Building Resilien
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3-2.2329

Abstract

AI running locally on IoT Edge devices is called Edge AI. Federated Learning (FL) is a Machine Learning (ML) technique that builds upon the concept of distributed computing and preserves data privacy while still supporting trainable AI models. This paper evaluates the FL regarding practical CPU usage and training time. Additionally, the paper presents how biased IoT Edge clients affect the performance of an AI model. Existing literature on the performance of FL indicates that it is sensitive to imbalanced data distributions and does not easily converge in the presence of heterogeneous data. Furthermore, model training uses significant on-device resources, and low-power IoT devices cannot train complex ML models. This paper investigates optimal training parameters to make FL more performant and researches the use of model compression to make FL more accessible to IoT Edge devices. First, a flexible test environment is created that can emulate clients with biased data samples. Each compressed version of the ML model is used for FL. Evaluation is done regarding resources used and the overall ML model performance. Our current study shows an accuracy improvement of 1.16% from modifying training parameters, but a balance is needed to prevent overfitting. Model compression can reduce resource usage by 5.42% but tends to accelerate overfitting and increase model loss by 9.35%.
A simulation-based investigation into the bidirectional charge and discharge dynamics in lead-acid batteries Noor Zelan, Muhammad Aiman; Hidayat, Muhammad Nabil; Nik Ali, Nik Hakimi; Umair, Muhammad; Mohd Mawardi, Muhammad Izzul; Ahmad, Ahmad Sukri; Abdullah, Ezmin
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp783-796

Abstract

This paper presents a comprehensive simulation-based investigation into the bidirectional charge and discharge dynamics of lead-acid batteries within electric vehicles (EVs) and energy storage systems (ESS). Utilizing a bidirectional DC-DC converter (BDC) integrated with a lead-acid battery, the study explores the performance of these batteries through various charging and discharging scenarios. The simulation model, implemented using MATLAB, assesses the impact of charging strategies on battery behavior, focusing on key metrics such as state of charge (SOC), energy performance, and charging rates. The results reveal that lead-acid batteries, when paired with appropriate charging infrastructure and strategies, demonstrate enhanced performance and reliability in both EV and ESS applications. The study highlights the significant role of BDC topology in facilitating efficient energy transfer and optimizing battery usage. The findings underscore the potential for improved performance and widespread adoption of bidirectional converters in sustainable energy solution.
Fazlur Rahman dan Teori Double Movement: Definisi dan Aplikasi Umair, Muhammad; Said, Hasani Ahmad
Jurnal test Vol 2 No 1 (2023): March
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (337.386 KB) | DOI: 10.58363/alfahmu.v2i1.26

Abstract

This paper discusses one of the Muslim intellectuals who played a major role in the development of the interpretation of the Koran, namely Fazlur Rahman. He is known for his theory of interpretation of the Koran which is called the double movement theory. This theory is interesting to discuss because it is a form of renewal of the methodology of interpreting the Koran in the modern era. So in this paper will be presented the definition of the theory and also how it is applied in life. Fazlur Rahman himself received religious education from an early age from his father and continued his studies to become a professor in the field of Islamic thought. This double movement theory has two movements, namely first by starting from looking at contemporary times towards the time when the Qur'an was revealed, then the second movement returns to the present. In general, this movement has a combination pattern of induction and deduction reasoning. This paper uses the method of analytical description of sources related to the research theme. So it can be concluded that the theory of the double movement is said to be relevant for use in the modern era where the meaning of the Koran becomes contextual and applicable. So that we are no longer trapped in the meaning of the Koran which is only textual. So it is hoped that in the future new contemporary interpretations of the Qur'an will emerge from this double movement theory.
Co-Authors Abdullah, Ezmin Ahmad, Ahmad Sukri Alfayed, Muhammad Amaliah, Rizaktul Emiyiati, Rifka Foo, Yee-Loo Hasani Ahmad Said Hidayat, Muhammad Nabil Mohd Mawardi, Muhammad Izzul Nik Ali, Nik Hakimi Noor Zelan, Muhammad Aiman Pal, Sauryadeep Sahkholid Nasution Tan, Wooi-Haw