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All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) International Journal of Artificial Intelligence Indonesian Journal of Electrical Engineering and Computer Science International Journal of Recent Technology and Applied Science (IJORTAS) International Journal of Law and Public Policy (IJLAPP) Journal of Engineering, Technology, and Applied Science (JETAS) Journal of Humanities and Social Science (JHASS) Jurnal Sains dan Teknologi Jurnal Teknologi dan Vokasi Advance Sustainable Science, Engineering and Technology (ASSET)
Panessai, Ismail Yusuf
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences

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Journal : International Journal of Artificial Intelligence

 1 
Mr. Dr. Health-Assistant Chatbot Hossain, Md Meem; Krishna Pillai, Salini; Dansy, Sholestica Elmie; Bilong, Aldrin Aran; Panessai, Ismail Yusuf
International Journal of Artificial Intelligence Vol 8 No 2: December 2021
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0802.301

Abstract

Research says 60% of visits to a doctor are for simple small-scale diseases, 80% of which can be diagnosed at home using simple check-up. These diseases mostly include common cold and cough, headache, abdominal pains etc. Whereas, chat-bots in healthcare are highly in demand, which functioning can offer various services from symptom checking and appointment scheduling. Therefore, the purpose of the research aims to design, develop and evaluate a health-assistant Chat-bot Application entitled “MR.Dr.” that helps users to ask any personal query related to healthcare without physically available to the hospital. MR.Dr. is evaluated in term of usability. 30 respondents attended the survey of usability evaluation. In the system usability scale MR.Dr. achieved 87.6 % rating which means Grade A (excellent). User's feedback level was pretty satisfying where 24/7 service is the highest one.
Tele Alert System Based on ECG Signal Using Virtual Instruments Environment Saif Al-din, Saif, M. N.; Mahmood, Sawsan. D; Abdulbaqi, Azmi Shawkat; Panessai, Ismail Yusuf; Yani, Achmad; Manaf, Abdi; Iksan, Nur
International Journal of Artificial Intelligence Vol 9 No 2: December 2022
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0902.464

Abstract

This manuscript addresses the design and implementation of a portable PC-based ECG device. Three electrodes are often employed for ECG recording, with two of them being connected to the patient's chest via the ECG amplifiers' differential inputs. Therefore, every stage of the design takes into account factors like low cost, low power consumption, portability, and simplicity of usage. In this system, the ATMEL Company's ATMEGA 328 low-power microcontroller is investigated for signal processing and delivering digital format to a PC through a serial connection, where it is then displayed utilizing LabVIEWTM SP1 software ( The released version in Feb. 2022). A portable tool that can capture, amplify, filter, and analyze biological signals is this one ECG. The intended device's target beneficiary was the intensive care unit.
Career Finder System using Rule-Based Filtering for University Student Candidates Amir Hamzah, Fikri Nur Izzudin; Saad, Ahmad Fadli; Panessai, Ismail Yusuf
International Journal of Artificial Intelligence Vol 10 No 1: June 2023
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-01001.539

Abstract

As a current reality, students are frequently questioned about a suitable career path for the future, but they are unaware of the jobs offered by current industries. Moreover, students seeking university admission frequently encounter difficulties selecting courses and educational programs, and they are confronted with a variety of available courses. This research aims to make a mobile application for students to obtain employment career options appropriate to their educational qualifications because student is often asked about a suitable career for their future but have no idea about the available career path that appropriate. The methodology that implements in this research is Mobile Application Development Life Cycle (MADLC) that have four phases which is identification, design, development, and testing. The Visual Studio Code with Flutter plugin is used to develop the mobile application and its function. Firebase is used to get the database to store all the data and works as backend function of the application. The finished system was tested accordingly based on the functionality that listed all available function of the system. The system considers students' educational qualifications and academic achievements to provide personalized recommendations. This system can assist students in making career decisions and pursuing the right career path, saving them time, and reducing the risk of making wrong choices. This research indicates understanding the importance of career decision-making for students before continuing their university studies. In conclusion, this research seeks to enhance the ability of students to make decision of the available career path provided through recommendation system.
CAD for Robotics: Trends, Opportunities, Considerations, and Constraints Ismail, Andi Almeira Zocha; Ismail, Andi Regina Acacia; Abdulbaqi, Azmi Shawkat; Panessai, Ismail Yusuf
International Journal of Artificial Intelligence Vol 12 No 1: June 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-01201.849

Abstract

In Southeast Asia, the integration of Computer-Aided Design (CAD) into robotics development has become increasingly vital in meeting the growing demand for rapid, task-specific automation. CAD plays a central role in enhancing how robotic systems are designed, simulated, and prototyped—enabling improved design precision, reduced development time, and accelerated innovation. This paper investigates the current trends in CAD applications for robotics and highlights key opportunities, including collaborative design approaches, rapid prototyping capabilities, and the convergence of digital engineering tools. Furthermore, the study discusses critical technical considerations such as software interoperability, real-time simulation integration, and the need for upskilling in CAD-related competencies. Drawing from both academic research and industrial practice across Southeast Asian countries, the findings reveal a pressing need for tighter integration between CAD platforms, robotic simulation environments, and control systems. The analysis identifies several regional challenges, including limited access to advanced CAD tools, inconsistent adoption in educational curricula, and disparities in technical training infrastructure. The paper concludes with strategic recommendations to support the growth of CAD-driven robotics in the region: bridging the digital skills gap, improving access to design technologies, promoting cross-institutional collaboration, and encouraging targeted research to adapt CAD tools to local industrial needs. These efforts are crucial for enabling Southeast Asia to capitalize on CAD’s transformative potential in developing agile, affordable, and application-specific robotic solutions.
Co-Authors Abd Arif, Harleny Abdulbaqi, Azmi Shawkat Abdulbaqie, Azmi Shawkat Adhika Pramita Widyassari Aditya Rahman, Raden Topan Afriani Agus Lokman Sulam Amir Hamzah, Fikri Nur Izzudin Apandi, Suliza Azizi , Muhammad Arief Azmi Shawkat Abdulbaqie Balasingam, Sheshalani Bilong, Aldrin Aran Dansy, Sholestica Elmie Dedy Iskandar Effendi, Eddy Esro, Mazran Esti Yuandari, Esti Fernandes, Atman Lucky Fujita, Shunya Hendro Wahyudiono, Pratiwi Hishamuddin Ahmad Hossain, Md Meem Ika Mardiatul Ulfa, Ika Mardiatul Indra Gunawan Ismail Ismail Ismail Ismail Ismail Yusuf Panessai Ismail, Andi Almeira Zocha Ismail, Andi Regina Acacia Jonathan Rante Carreon Krishna Pillai, Salini Lakulu, Muhammad Modi Lensi Natalia Tambunan, Lensi Natalia Mahmood, Sawsan. D Majid, Sanusi Manaf, Abdi Maulana, Mirza Arif Mohana, Dharnishaa Mohd Razimi Husin Mohd Zulkefli, Nurul Akhmal Ningsih, Fitriani Norliza Abdul Majid Novaliyan, Alvin Rangga Nur Diyana Nur Iksan Olva, Maria Pratiwi Reza Nandika Saad, Ahmad Fadli Saif Al-din, Saif, M. N. Sakamoto, Kenji Salini Krishna Pillai Siva Kumar Subramaniam Subramaniam, Siva Kumar Suganda, Afdal Takahashi, Hiroko Veza, Okta Yani, Achmad Yusuf, Achmad Yani Zapiee, Mohd Khuzaimi Zariman, Asnazulfadhli