Tutut Herawan
University of Malaya
338 Papers
1.2K Citations
Tutut Herawan is an academic researcher from University of Malaya. The author has contributed to research in topics: Computer science & Soft set. The author has an hindex of 34, co-authored 318 publications. Previous affiliations of Tutut Herawan include Multimedia University & Universiti Tun Hussein Onn Malaysia.
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Papers
A Systematic Review on Educational Data Mining
TL;DR: This paper provides over three decades long systematic literature review on clustering algorithm and its applicability and usability in the context of EDM.
505
Information security conscious care behaviour formation in organizations
Nader Sohrabi Safa,Mehdi Sookhak,Rossouw von Solms,Steven Furnell,Norjihan Abdul Ghani,Tutut Herawan +5 more
TL;DR: The results of structural equation modelling (SEM) showed that Information Security Awareness, Information Security Organization Policy, information Security Experience and Involvement, Attitude towards information security, Subjective Norms, Threat Appraisal, and Information Security Self-efficacy have a positive effect on users' behaviour, however, Perceived Behavioural Control does not affect their behaviour significantly.
357
The Relationship between Study Anxiety and Academic Performance among Engineering Students
Prima Vitasari,Muhammad Nubli Abdul Wahab,Ahmad Othman,Tutut Herawan,Suriya Kumar Sinnadurai +4 more
TL;DR: In this article, the authors observed the relationship between study anxiety level and students' academic performance and found that there was a significant correlation of high level anxiety and low academic performance among engineering students, with significant correlation (p = 0.000) and the correlation coefficient is small with r ǫ −264.
Big Data Clustering: A Review
Ali Seyed Shirkhorshidi,Saeed Aghabozorgi,Teh Ying Wah,Tutut Herawan +3 more
- 30 Jun 2014
TL;DR: The trend and progress of clustering algorithms to cope with big data challenges from very first proposed algorithms until today's novel solutions are reviewed and the possible future path for more advanced algorithms is illuminated based on today’s available technologies and frameworks.
252
Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction
TL;DR: In this paper, an alternative approach based on a genetic algorithm and neural network (GA-NN) was proposed for the prediction of the West Texas Intermediate (WTI) crude oil price.
180