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Review the Success of the Mobile Government from the Government Perspective Noor Dheyaa Azeez; Muhammad Modi Lakulu
International Journal of Humanities, Management and Social Science Vol 2 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.ij-humass-0202.36

Abstract

The researchers agreed on the potential of the mobile government as a new channel of communication between the government and citizens if the mobile government eliminates the traditional organizational structure of government, thus changing the way information is exchanged between them, and provide government services in a transparent manner at anytime and anywhere. For the education sector, mobile education initiatives must be successful in educational institutions must choose the appropriate technology in proportion to its infrastructure to conserve resources and reduce the stress of change. Therefore, this research seeks to present the most important factors of success explored by researchers in their studies, using different research methods in different countries, and trying to classify these factors from the perspective of the government and citizens. The methodology used in this research is to review the literature on the success of mobile government from a government perspective, in order to determine the success factors adopted by each study, and then categorize the success factors according to the degree of their impact on the successful implementation of the mobile government. The final stage is a model proposal for mobile government success.
Optimizing K-Means Initial Number of Cluster Based Heuristic Approach: Literature Review Analysis Perspective Harunur Rosyid; Ramlah Mailok; Muhammad Modi Lakulu
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-0602.40

Abstract

One popular clustering technique - the K-means widely use in educational scope to clustering and mapping document, data, and user performance in skill. K-means clustering is one of the classical and most widely used clustering algorithms shows its efficiency in many traditional applications its defect appears obviously when the data set to become much more complicated. Based on some research on K-means algorithm shows that Number of a cluster of K-means cannot easily be specified in much real-world application, several algorithms requiring the number of cluster as a parameter cannot be effectively employed. The aim of this paper describes the perspective K-means problems underlying research. Literature analysis of previous studies suggesting that selection of the number of clusters randomly cause problems such as suitable producing globular cluster, less efficient if as the number of cluster grow K-means clustering becomes untenable. From those literature reviews, the heuristic optimization will be approached to solve an initial number of cluster randomly.
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.
Intention to Use Mobile Learning in Higher Education Institutions: Review Paper Ayad Shihan Izkair; Muhammad Modi Lakulu; Ibtihal Hassan Mussa
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 3 No 2: December 2020
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.ijeste-0302.157

Abstract

Mobile learning is presently taking part in associate degree more and more important role within the instructional method, additionally as within the development of teaching and learning ways for higher education. The power to find out ‘on the go– anytime, anywhere, is changing into more and more fashionable. The advantages offered by mobile learning are important. On the opposite hand, the implementation of mobile learning in educational activity relies on users’ acceptance of technology. Acceptance and intention to use mobile learning may be a topic of growing interest within the field of education. The model of the unified theory of acceptance and use of technology (UTAUT) is planned and developed by researchers via a mixture of eight major theories in activity prediction. UTAUT is among the foremost fashionable and up to date model in information technology acceptance. This is review paper aiming to review UTAUT’s previous studies of intention to use mobile learning. In conclusion, this research provides insight regarding the necessary factors for planning and designing an intention to use mobile learning model in higher education institutions.
A Systematic Review of Mobile-Based Assessment Acceptance Studies from 2009 To 2019 Ali Alrfooh; Muhammad Modi Lakulu
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 4 No 1: June 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.ijeste-0401.195

Abstract

Despite many studies being conducted on mobile learning acceptance, few investigate mobile-based assessment acceptance. The objectives of this research are to provide valuable insights into current research on mobile-based assessment literature, and to identify the main gaps in the mobile-based assessment acceptance literature. Therefore, the present study systematically reviews 48 previous studies and eight articles related to mobile-based assessment acceptance to provide a comprehensive analysis of the articles published from 2009 to 2019. Findings indicate that majority of mobile-based assessment studies focused on evaluating the effectiveness and performance of mobile-based assessment system and conducted at the secondary school level. In addition, this study identified several gaps. Further research is needed to study the acceptance problem of a mobile-based assessment system. More investigation is required to predict which external factors that can enhance the acceptance and use of mobile-based assessment among students. The findings of this review study provide a valuable reference for researchers about the current trend of mobile-based assessment research as well as the research gaps that should be covered in future studies.