Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
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This Author published in this journals
All Journal Journal Of Nursing Practice International Journal of Humanities, Management, and Social Science (IJ-HuMaSS) International Journal of Artificial Intelligence
Muhammad Modi Lakulu
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Nursing Social Sciences Other

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 1 
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.
Factors Influencing The Increase in Violence Against Women: A Systematic Review Dini Rahmayani; Muhammad Modi Lakulu; Husin; Ahmad Syahlani; Umi Hanik Fetriyah; Agus Byna
Journal Of Nursing Practice Vol. 8 No. 2 (2025): January
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/jnp.v8i2.581

Abstract

Background: Violence against women is a global public health problem, with an estimated one in three women experiencing physical, emotional, or sexual violence. Approximately one in three women worldwide have experienced physical or sexual violence. Intimate partners have the right to beat their female partners, violence experienced by women is often underreported. Purpose: to describe the causal factors that contribute to violence against women. Methods: Systematic review method, data sources, study selection, search, eligibility criteria, data collection, and literature taxonomy. These articles were published over a 6-year period from 2018 to 2023 with selection using PRISMA. the results found 12 articles that had been studied extensively to map the research area. Results: 61 variables consisting of two parts, namely demographic characteristics and factors that contribute to the cause were studied in the article. Based on the results of the article analysis, it was found that the dominant factors studied, and had a significant relationship to the occurrence of violence against women included: 1) age; 2) women's education; 3) place of residence; 4) family income; and 5) women's work. Conclusion: Based on the findings, the dominant factors are very important to be followed up in further research with an artificial intelligence (AI) approach using machine learning, which is an interdisciplinary collaboration, especially in the field of women's reproductive health, in line with the emphasis of the digital era on the use of AI.
Co-Authors Ahmad Syahlani Aldrin Aran Bilong Dini Rahmayani Harunur Rosyid Husin Ismail Yusuf Panessai Mohd Hishamuddin Abdul Rahman Noor Anida Zaria Mohd Noor Noor Dheyaa Azeez Nor Syazwani Mat Salleh Ramlah Mailok Umi Hanik Fetriyah