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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) International Journal of Humanities, Management, and Social Science (IJ-HuMaSS) International Journal of Artificial Intelligence International Journal of Education, Science, Technology, and Engineering (IJESTE) International Journal of Multimedia and Recent Innovation (IJMARI) Jurnal Rekayasa Teknik
Ismail Yusuf Panessai
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : International Journal of Artificial Intelligence

 1 
PSAP: Improving Accuracy of Students' Final Grade Prediction using ID3 and C4.5 Ismail Yusuf Panessai; Muhammad Modi Lakulu; Mohd Hishamuddin Abdul Rahman; Noor Anida Zaria Mohd Noor; Nor Syazwani Mat Salleh; Aldrin Aran Bilong
International Journal of Artificial Intelligence Vol 6 No 2 (2019)
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-0602.42

Abstract

This study was aimed to increase the performance of the Predicting Student Academic Performance (PSAP) system, and the outcome is to develop a web application that can be used to analyze student performance during present semester. Development of the web-based application was based on the evolutionary prototyping model. The study also analyses the accuracy of the classifier that is constructed for the prediction features in the web application. Qualitative approaches by user evaluation questionnaire were used for this study. A number of few personnel expert users which are lecturers from Universiti Pendidikan Sultan Idris were chosen as respondents. Each respondent is instructed to answer a total of 27 questions regarding respondent’s background and web application design. The accuracy of the classifier for the prediction features is tested by using the confusion matrix by using the test set of 24 rows. The findings showed the views of respondents on the aspects of interface design, functionality, navigation, and reliability of the web-based application that is developed. The result also showed that accuracy for the classifier constructed by using ID3 classification model (C4.5) is 79.18% and the highest compared to Naïve Bayes and Generalized Linear classification model.
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.
Co-Authors Abdi Manaf Achmad Yani Afdal Suganda Aldrin Aran Bilong Azmi Shawkat Abdulbaqie Hanasrullah Halim Haslina Hassan Hishamuddin Ahmad Ismail Ismail Mohd Hishamuddin Abdul Rahman Mohd Razimi Husin Mohd. Sapiyan Baba Muhammad Modi Lakulu Muhammad Rafiq Mat Suruji Noor Anida Zaria Mohd Noor Nor Syazwani Mat Salleh Nur Iksan Nurul Hidayah Rahani Panessai, Ismail Yusuf Pratiwi Pratiwi Hendro Wahyudiono Ririt Dwiputri Permatasari Salini Krishna Pillai Siva Kumar Subramaniam Wan Amirah Najwa Wan Idris