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All Journal Journal of Mathematics and Scientific Computing With Applications Journal of Information Systems and Technology Research At-Tadzkir: Islamic Education Journal Journal of Education and Islamic Studies
Serban, Razvan
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Religion Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Mathematics Social Sciences Other

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Innovative Integration of Computer Network Technology in Modern Educational Systems Sain, Zohaib Hassan; Loupias, Henry H; Susanti, Rini Ayu; Serban, Razvan; Thelma, Chanda Chansa
Journal of Information Systems and Technology Research Vol. 3 No. 3 (2024): September 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i3.902

Abstract

A novel educational system has been developed using the Radial Basis Function (RBF) algorithm to address the limitations of traditional classroom environments, which often rely on standardized material and fixed teaching methods. This research assesses recent advancements in interactive intelligent education systems by combining Artificial Intelligence (AI) with interactive teaching methods. A model based on cognitive functions is constructed using the RBF algorithm to personalize instructional approaches and foster a self-directed learning platform. The research methodology involves a comprehensive literature review, developing an Education Intelligent System (EIS) using AI-driven cognitive modelling, and the implementation of the RBF algorithm within a neural network architecture. The system's effectiveness is evaluated through empirical methods, including extensive data analysis and continuous refinement based on student performance feedback. Additionally, a network topology model is designed to enhance the system's adaptability for different roles within the educational framework. The results show significant improvements in instructional effectiveness, learner engagement, and personalized learning experiences. This research demonstrates that AI and interactive technologies can revolutionize conventional educational methods, enhance learner proficiency, and cultivate a more dynamic and engaging learning environment. Future work aims to improve the system's user interface and analyze larger datasets to refine the AI algorithms further.
Benefits and Drawbacks of Leveraging ChatGPT to Enhance Writing Skills in Secondary Education Sain, Zohaib Hassan; Serban, Razvan; Abdullah, Nurulannisa Binti; Thelma, Chanda Chansa
At-tadzkir: Islamic Education Journal Vol. 4 No. 1 (2025): Progressive Islamic Education
Publisher : Perkumpulan Dosen Tarbiyah Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59373/attadzkir.v4i1.79

Abstract

Chat Generative Pre-trained Transformer (ChatGPT) is an advanced machine learning model designed to generate and process vast amounts of data, enabling it to provide answers to various questions. This research aims to explore the benefits and drawbacks of using ChatGPT, particularly in the context of language learning, focusing on enhancing high school writing skills. The data for this study was sourced from digital media and academic repositories. ChatGPT plays a significant role in research by assisting in generating ideas for articles; however, it also presents challenges, including concerns about data accuracy, ethical considerations, and potential impacts on students' critical thinking abilities (Fuchs, 2023). Additionally, this study will examine how ChatGPT can be leveraged to enhance student's writing capabilities in an educational setting.  
Real-Time IoT Integration for Coal Production And Distribution Management Sani , Hendra; Rasyid, Rachmat; Asia, Siti Nur; Syamsuddin, Syamsuddin; Suherwin, Suherwin; Șerban, Răzvan
Journal of Information Systems and Technology Research Vol. 4 No. 3 (2025): September 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i3.1295

Abstract

The coal production and distribution industry faces persistent challenges in data management, operational coordination, and decision-making efficiency. Conventional monitoring methods often result in delayed reporting, low data accuracy, and limited adaptability to dynamic market demands. This study addresses the lack of an intelligent and integrated information system by designing and developing a real-time IoT-based solution for coal production and distribution management. The system was built using the Software Development Life Cycle (SDLC) with the Waterfall model and integrates IoT sensors to automatically capture critical parameters such as pressure, temperature, and coal quality indicators. Artificial Intelligence (AI) components were incorporated to enhance data analysis and support predictive decision-making. System evaluation through simulation with dummy data demonstrated notable improvements, including a 40% reduction in reporting response time and a 95% increase in operational data accuracy. The system also enabled faster production monitoring, streamlined distribution processes, and provided decision-makers with reliable real-time insights. User feedback confirmed the system’s effectiveness in improving accessibility, monitoring efficiency, and overall operational performance in coal production and distribution management.
Integrating Artificial Intelligence in Education: Understanding Students' Perceptions Sain, Zohaib Hassan; Vasudevan, Asokan; Serban, Razvan; Thelma, Chanda Chansa
Journal of Education and Islamic Studies (JEIS) Vol. 1 No. 2 (2024): Journal of Education and Islamic Studies (JEIS)
Publisher : Minhaj Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62083/d62dea91

Abstract

ABSTRACT The advent of cutting-edge technologies has prompted the transformation of current educational systems by integrating these advancements into contemporary teaching and learning methodologies. Given the substantial potential of Artificial Intelligence (AI) to revolutionize these practices, the consideration of its incorporation into the educational domain is inevitable. This research delves into the latest developments in AI within education, examining how secondary school students involved in this research utilize AI and for what specific purposes. Additionally, this study seeks to understand whether these students employ Artificial Intelligence for educational and learning purposes and their opinions on its inclusion in educational frameworks. The collected data provide valuable insights into students' comprehension of AI's role and objectives in education and their perspectives on its application across various scenarios. Furthermore, the study underscores the significance and challenges of integrating Artificial Intelligence into curricula, highlighting the opportunities it presents for crafting educational practices that enhance students' academic knowledge and digital proficiency while emphasizing the ethical and responsible use of such technologies. ABSTRAK Munculnya teknologi mutakhir telah mendorong transformasi sistem pendidikan saat ini dengan mengintegrasikan kemajuan ini ke dalam metodologi pengajaran dan pembelajaran kontemporer. Mengingat potensi besar Kecerdasan Buatan (AI) untuk merevolusi praktik-praktik ini, pertimbangan untuk memasukkannya ke dalam bidang pendidikan tidak dapat dihindari. Penelitian ini menggali perkembangan terkini AI dalam dunia pendidikan, mengkaji bagaimana siswa sekolah menengah yang terlibat dalam studi kasus ini memanfaatkan AI dan untuk tujuan spesifik apa. Selain itu, penelitian ini berupaya memahami apakah para siswa ini menggunakan Kecerdasan Buatan untuk tujuan pendidikan dan pembelajaran serta pendapat mereka tentang penyertaannya dalam kerangka pendidikan. Data yang dikumpulkan memberikan wawasan berharga mengenai pemahaman siswa tentang peran dan tujuan AI dalam pendidikan serta perspektif mereka terhadap penerapannya dalam berbagai skenario. Lebih jauh lagi, penelitian ini menggarisbawahi pentingnya dan tantangan dalam mengintegrasikan Kecerdasan Buatan ke dalam kurikulum, menyoroti peluang yang ada untuk menciptakan praktik pendidikan yang meningkatkan pengetahuan akademis dan kemahiran digital siswa sambil menekankan penggunaan teknologi tersebut secara etis dan bertanggung jawab.
ANALYSIS OF BASIC REPRODUCTION NUMBER DENGUE FEVER (DBD) SPREAD THE SIR MODEL USING VACCINE IMPACT IN MEDAN CITY Dwi Lestari, Riani; Husein, Ismail; Nasution, Hamidah; Serban, Razvan
Journal of Mathematics and Scientific Computing With Applications Vol. 6 No. 1 (2025)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/jmscowa.v6i1.989

Abstract

Dengue hemorrhagic fever (DHF) is a dangerous disease that is easily transmitted through mosquito bites of the species Aedes aegypti or Aedes albopictus. Dengue hemorrhagic fever (DHF) in Indonesia is an endemic disease and a serious health problem that causes many deaths. Based on the data obtained, the incidence of DHF is still high, especially in Medan City with its high population density and mobility. It is therefore necessary to have more intensive efforts to prevent DHF, one of which is by administering vaccines. Therefore, vaccination is used as an option that is commonly used to control the spread of dengue hemorrhagic fever (DHF). The purpose of this research is to get a mathematical model with the effect of the vaccine, to find out the analysis of the mathematical model with the effect of the vaccine, and to find out the analysis of the reproduction number () with the effect of the vaccine. TheSIR model was used to analyze the Basic Reproduction Number. According to this study, the basicreproduction number of DHF
Co-Authors Abdullah, Nurulannisa Binti Asia, Siti Nur Dwi Lestari, Riani Henry H Loupias, Henry H Ismail Husein, Ismail Nasution, Hamidah . Rasyid, Rachmat Sain, Zohaib Hassan Sani , Hendra Suherwin, Suherwin Susanti, Rini Ayu Syamsuddin Syamsuddin Thelma, Chanda Chansa Vasudevan, Asokan