Article Per Year (5 Year)
p-Index From 2020 - 2025
3.096
P-Index
This Author published in this journals
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 Teknologi dan Vokasi
Panessai, Ismail Yusuf
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Social Sciences

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 18 Documents
Search

 1   2 
Ease of Use of Augmented Reality as an Online Learning Tool to Improve Student Performance and Achievement in Wood Carving Art Krishna Pillai, Salini; Iksan, Nur; Abd Arif, Harleny; Panessai, Ismail Yusuf; Abdulbaqie, Azmi Shawkat; Yani, Achmad; Ismail
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 3 No 2: August 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.jetas-0302.256

Abstract

Krisis global pasca merebaknya epidemi Covid-19 berdampak pada proses belajar mengajar (PdP). Masalah utama pdP selama epidemi Covid-19 adalah keterbatasan dalam melakukan kegiatan tatap muka di dalam kelas. Oleh karena itu, diperlukan bantuan pembelajaran agar PdP dapat berjalan optimal meskipun tidak ada interaksi tatap muka antara guru dan siswa. Penelitian ini menyoroti penerapan Augmented Reality untuk mendukung pembelajaran jarak jauh dalam situasi epidemi Covid-19, khususnya dalam topik seni ukiran kayu. Aplikasi selular AR Wood Carving Art menggunakan model desain ADDIE. Aplikasi seluler AR Wood Carving Art dievaluasi berdasarkan kegunaannya (ease of use). Berdasarkan hasil penelitian, responden menyetujui bahwa aplikasi selular AR Wood Craving Art berguna dan aplikasi menghemat waktu ketika pengguna menggunakannya sehingga aplikasi selular AR Wood Craving Art efektif digunakan dalam pembelajaran yang membuat pengguna lebih produktif, kreatif, dan inovatif. Ease of Use of Augmented Reality as an Online Learning Tool to Improve Student Performance and Achievement in Wood Carving Art Abstract: The global crisis following the outbreak of the Covid-19 epidemic has had an impact on the teaching and learning process (PdP). The main problem with PdP during the Covid-19 epidemic was the limitation in conducting face-to-face activities in the classroom. Therefore, a learning aid is needed to enable PdP to run optimally even though there is no face-to-face interaction between teachers and students. This research highlights the application of Augmented Reality to support distance learning in the Covid-19 epidemic situation, specializing in Wood Carving Art for the subject of Visual Arts. The AR Wood Carving Art mobile application uses the ADDIE design model. The AR Wood Carving Art mobile application is evaluated based on its ease of use. Based on the result, respondents agree that the AR Wood Craving Art mobile application is useful and the application saves time when users use it, therefore the AR Wood Craving Art mobile application is effectively used in learning which makes users more productive, creative, and innovative. Keywords: Augmented Reality, Ease of Use, Teaching and Learning.
Analysis of Translation Techniques in the journal abstract of IJAI 6(1) Panessai, Ismail Yusuf; Iskandar, Dedy; Afriani; Pratiwi; Effendi, Eddy
Journal of Humanities and Social Sciences (JHASS) Vol 3 No 1: April 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.jhass-0301.187

Abstract

Penerjemahan berperanan penting dalam sebuah komunikasi. Penerjemahan adalah serangkaian tindakan analitis terhadap teks sumber (TSu) untuk dialihbahasakan kedalam teks sasaran (TSa) yang sepadan sehingga menghasilkan terjemahan yang baik dan dapat di mengerti oleh pembaca. Penerjemahan tidak hanya sekedar mengubah kata, tetapi juga mentransfer kesepadanan budaya dengan budaya bahasa TSu dan penerima bahasa tersebut dengan sebaik-baiknya. Salah satu naskah yang selalu menggunakan proses penerjemahan adalah adalah abstrak. Abstrak bertujuan untuk memberikan gambaran umum tentang isi sebuah tulisan karya ilmiah. Karya ilmiah ini merupakan studi kasus penerjemahan abstrak artikel yang diterbitkan di International Journal of Artificial Intelligence (IJAI) pada Terbitan 6(1) tahun 2019. Tujuan penelitian ini adalah untuk mendeskripsikan proses penerjemahan yang dilakukan pada teks sumber (TSu) ke dalam teks sasaran (TSa) untuk menghasilkan terjemahan yang sepadan dan juga metode atau teknik yang muncul dalam penerjemahan teks sumber (TSu) kedalam teks sasaran (TSa). Dari penelitian yang dilakukan dapat disimpulkan bahwa dalam proses penerjemahan yang dilakukan pada teks sumber (TSu) ke dalam teks sasaran (TSa) harus mempertimbangkan faktor-faktor yang terkandung di dalam teks tersebut agar mendapatkan hasil terjemahan yang sepadan dan dapat difahami dengan baik oleh pembaca. Faktor utama yang sangat mendukung adalah bahwa penerjemah harus mengetahui istilah-istilah dalam TSu dan memahami penggunaan istilah tersebut sehingga penerjemah bisa dengan mudah menerjemahkan naskah TSu ke dalam TSa. Selain itu, teknik penerjemahan yang banyak digunakan dalam kedua naskah adalah teknik transposisi, teknik meminjam kata baik murni maupun dengan perubahan serta teknik adaptasi dan calque. Analysis of Translation Techniques in the journal abstract of IJAI 6(1) Abstract: Translation plays an important role in communication. Translation is a series of analytical actions on the source text (TSU) to be translated into equivalent target text (TSA) so as to produce a good translation and can be understood by the reader. Translation does not just change the word, but also transfers the cultural correspondence to the culture of the TSu language and its recipient as best as possible. One of the texts that always uses the translation process is an abstract. Abstract aims to provide an overview of the contents of a scientific paper. This scientific work is a case study of translating article abstracts published in the International Journal of Artificial Intelligence (IJAI) in Issue 6 (1) in 2019. The purpose of this research is to describe the translation process carried out on the source text (TSu) into the target text (TSa) to produce an equivalent translation and also the methods or techniques that appear in the translation of the source text (TSu) into the target text (TSa). From the research conducted, it can be concluded that in the translation process carried out on the source text (TSu) into the target text (TSa) must consider the factors contained in the text in order to get a translation result that is equivalent and can be well understood by readers. The main factor that is very supportive is that the translator must know the terms in TSu and understand the use of these terms so that the translator can easily translate the TSu script into TSa. In addition, the translation techniques that are widely used in the two texts are transposition techniques, techniques for borrowing words both pure and with changes as well as adaptation and calque techniques. Keywords: Abstract, Couplet, Journal, Translation Technique, TSu ≈ TSa.
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.
Proposed model to predict preeclampsia using machine learning approach Aditya Rahman, Raden Topan; Lakulu, Muhammad Modi; Panessai, Ismail Yusuf; Yuandari, Esti; Ulfa, Ika Mardiatul; Ningsih, Fitriani; Tambunan, Lensi Natalia
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 1: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i1.pp694-702

Abstract

Pregnancy complications, which are the biggest cause of death in productive women, are more common in developing countries with low incomes. One of the contributors to death in pregnant women is preeclampsia which contributes 2-8% every day. Based on research results, more than 70% of the use of technology can be a solution for early prevention in detecting cases of pregnancy. The aim of this research is to build a model for early detection of preeclampsia using a machine learning approach. Sample using retrospective data with sample size 1.473. Based on the result, decision tree (DT) is the best model with accuracy 92.2% (area under curve (AUC): 0.91; Spec: 92.3; and Sens: 83.6), according to weigh correlation we can show 3 (three) highest features causes preeclampsia is history of hypertension, history of diabetes mellitus, and history of preeclampsia. The health of pregnant women is essential in the development of the fetus, so it needs optimal monitoring. Monitoring during pregnancy can now be done through technology-based examinations for assist health workers in making decisions during pregnancy.
SISTEM CERDAS PENDIAGNOSIS KECANDUAN INTERNET YANG MENGGUNAKAN SISTEM PAKAR RUNUT MUNDUR Iksan, Nur; Yani, Achmad; Manaf, Abdi; Ismail; Panessai, Ismail Yusuf
Jurnal Teknologi dan Vokasi Vol 1 No 2 (2023): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2023.1.2.89-102

Abstract

Starting with COVID19, almost everyone around the world uses the internet, even to the worrying stage, namely internet addiction. Several studies report that the level of addiction to using the internet network is getting higher even though COVID19 has subsided. Teenagers have not been able to choose useful internet connection activities and they are more prone to experiencing bad influences from the social environment. To overcome this they need support from psychologists so they can prevent and diagnose early before they become sufferers of severe internet addiction. But on the other hand, the number of psychologists who can help is still very limited, especially in small towns. In addition, economic factors and limited time for parents to accompany their children to visit psychologists are the main obstacles. Therefore it is necessary to find a solution that can overcome the limitations and barriers to adolescents in obtaining services from a psychologist. One solution to this problem is to build an expert system that can work as a psychologist. The purpose of this research is to build an expert system application for diagnosing internet addiction using the backward chaining method. Internet addiction level is categorized in low, medium and high. System testing is carried out using black box testing which allows experts to obtain a set of output conditions that will carry out all functional requirements of the program. This test shows that the inout and output data has been running as expected.
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 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 Ismail Ismail Ismail Yusuf Panessai Ismail, Andi Almeira Zocha Ismail, Andi Regina Acacia 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 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