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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Minda Baharu International Journal of Artificial Intelligence SIGMA TEKNIKA International Journal of Recent Technology and Applied Science (IJORTAS) Journal of Engineering, Technology, and Applied Science (JETAS) Jurnal Rekayasa Teknik
Nur Iksan
Fakutas Teknik, Universitas Riau Kepulauan, Batam
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Other

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Journal : International Journal of Artificial Intelligence

 1 
Solving Rich Vehicle Routing Problem Using Three Steps Heuristic Mohd. Sapiyan Baba; Ismail Yusuf Panessai; Nur Iksan
International Journal of Artificial Intelligence Vol 1 No 1 (2014)
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-0101.9

Abstract

Vehicle Routing Problem (VRP) relates to the problem of providing optimum service with a fleet of vehicles to customers. It is a combinatorial optimization problem. The objective is usually to maximize the profit of the operation. However, for public transportation owned and operated by government, accessibility takes priority over profitability. Accessibility usually reduces profit, while increasing profit tends to reduce accessibility. In this research, we look at how accessibility can be increased without penalizing the profitability. This requires the determination of routes with minimum fuel consumption, maximum number of ports of call and maximum load factor satisfying a number of pre-determined constraints: hard and soft constraints. To solve this problem, we propose a heuristic algorithm. The results from this experiment show that the algorithm proposed has better performance compared to the partitioning set.
Tele Alert System Based on ECG Signal Using Virtual Instruments Environment Saif, M. N. Saif Al-din; Sawsan. D Mahmood; Azmi Shawkat Abdulbaqi; Ismail Yusuf Panessai; Achmad Yani; Abdi Manaf; Nur Iksan
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.
Expert System for Diagnosis Coronavirus Disease Sholestica Elmie Dansy; Achmad Yani; Abdi Manaf; Azmi Shawkat Abdulbaqi; Nur Iksan
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-01001.537

Abstract

The latest issue of the disease called COVID-19 has become famous all over the world. Hence, through this problem, it found that this disease have the same symptom with other diseases such as Influenza and also normal flu. Detecting diseases at early stage can enable to overcome and treat them appropriately. This is because many of peoples does not know and does not aware of the symptom of this various diseases. In an effort to address those problems, an Expert System for Corona Earlier Detection has been proposed to help the doctors to detect those various diseases in human body. Through this research, the researcher will held an interview with the doctors to collect data and information about those diseases’ symptoms and also search for the related articles to make sure this research going successfully. The method that will be used in this research is Certainty Factor. To conclude, this system will be useful to the healthcare department as it will give earlier detection when the patient are positively exposed to the disease that is known by Corona.
Co-Authors Abdi Manaf Abdul Rohmad Basar Achmad Yani Afdal Suganda Alvin Rangga Novaliyan Andi Aziz Mahligai Azmi Shawkat Abdulbaqi Azmi Shawkat Abdulbaqie Azmi Shawkat Abdulbaqie Azmi Shawkat Abdulbaqie Benny Dwika Leonanda Evan Syaputra Fauzan Fernandes, Atman Lucky Harleny Abd Arif Hishamuddin Ahmad Ismail Ismail Ismail Ismail Ismail Ismail Yusuf Panessai Ismail Yusuf Panessai Ismail Yusuf Panessai Maria Olva Mirza Arif Maulana Mohd Razimi Husin Mohd. Sapiyan Baba Nadia Akma Ahmad Zaki Nurul Akhmal Mohd Zulkefli Pamor Gunoto Panessai, Ismail Yusuf Pratiwi Hendro Wahyudiono Reza Nandika Rozella Salun Saif, M. N. Saif Al-din Salini Krishna Pillai Salini Krishna Pillai Sawsan. D Mahmood Sholestica Elmie Dansy Siva Kumar Subramaniam