Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal International Journal of Quantitative Research and Modeling International Journal of Ethno-Sciences and Education Research
Sivaperumal Sampath
Faculty of Technology, VelTech University, India
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Transportation Other

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 1 
Analysis of Average Length of Schooling of Indonesian Citizens in the Future Using Markov Chains Riza Adrian Ibrahim; Sivaperumal Sampath
International Journal of Ethno-Sciences and Education Research Vol 2, No 4 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v2i4.391

Abstract

Based on data from the Central Bureau of Statistics of the Republic of Indonesia, the average length of schooling of Indonesian citizens is continuously increasing every year. This increase is predicted to continue in the future. However, it has yet to be discovered how the increasing rate in the average length of schooling will occur. Therefore, this study aims to analyze the increasing rate of the average length of schooling of Indonesian citizens in the future. The data used is the average length of schooling of Indonesian citizens from 2010 to 2021. The analytical method used is the discrete-time Markov chain. Furthermore, the states representing the increasing rate in the average length of schooling used are divided into two: the increasing rate in the average length of schooling that is smaller and larger than the average. Based on the analysis results, the probability that the increasing rate in Indonesian citizens' average length of schooling will be less than the average in the future is 0.4. In contrast, the probability that the increasing rate in Indonesian citizens' average length of schooling will be greater than the average in the future is 0.6. It indicates that Indonesian citizens will have a high education level in the future. The results can be used as the future education state projection of Indonesian citizens so that it can be accompanied by empowerment.
Data Visualization for Students’ Perception Toward Online and Offline Learning in Information Technology Education Program Sulidar Fitri; Toafik Muhammad; Cecep Riki; Sivaperumal Sampath
International Journal of Quantitative Research and Modeling Vol 4, No 3 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i3.500

Abstract

The comments from student about online and offline learning can be analyzed to evaluate the learning process learning quality. This study focused on visualizing the data from students' perception comments especially one class in Information Technology Education Program between face-to-face learning and online learning. The learning process is observed in order to gain some insight about the difference number of words appearance in the word cloud. The comparative results of this research will be described through data visualization in word cloud using orange software. The results of this study indicate that the words appear in the comments of students who fill out the survey form display more words refer to their choices to take offline learning compared to online learning.
Data Visualization for Students’ Perception Toward Online and Offline Learning in Information Technology Education Program Sulidar Fitri; Toafik Muhammad; Cecep Riki; Sivaperumal Sampath
International Journal of Quantitative Research and Modeling Vol. 4 No. 3 (2023): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i3.500

Abstract

The comments from student about online and offline learning can be analyzed to evaluate the learning process learning quality. This study focused on visualizing the data from students' perception comments especially one class in Information Technology Education Program between face-to-face learning and online learning. The learning process is observed in order to gain some insight about the difference number of words appearance in the word cloud. The comparative results of this research will be described through data visualization in word cloud using orange software. The results of this study indicate that the words appear in the comments of students who fill out the survey form display more words refer to their choices to take offline learning compared to online learning.
Co-Authors Cecep Riki Riza Adrian Ibrahim Sulidar Fitri Toafik Muhammad