E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan

Mohd Ridzuan, Nur Hafizah (2020) E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan. Degree thesis, Universiti Teknologi MARA, Cawangan Melaka.

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Abstract

History is one of the school subjects in Malaysian schools and known as a compulsory subject that is required to pass the SPM examination. One of the main learning methods in Malaysian education is by using textbooks as it is a universal formal school learning material and a dominant resource of learning. However, the use of textbooks for historical subjects is difficult due to the highly textual content of the textbook itself and the heavy textbook burden for the user. Hence, E-History is project that proposed to help in overcome this problem. The objective of the project is to design and develop an E-History Malaysian secondary school textbook system using Term Frequency-Inverse Document Frequency (TF-IDF) algorithm with text visualization and also to test the functionality and usability of the system through a web-based system. TF-IDF Algorithm technique is performed to develop system by calculating the most relevant pages in the textbook based on keyword that entered by user’s query. Text visualization technique will generate word cloud visualization that used to visualize each chapter by visualize the most relevant based on TF-IDF score. The expected result, user get the visualization of word cloud that present the size of word based on frequencies of most appeared on the chapter. The finding of this system is believed to be helpful as it is chip in to the education materials. Results show that all functions in the system is fully functioned and well-integrated plus most of the users provide good and promising feedbacks during the usability testing. As the future works, the system can be improved by applied the system using mobile apps application to make the system can have easier access and implementation of another technique such as semantic-based searching and the usage of stemming algorithm would be considered to produce more meaningful results.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email
Mohd Ridzuan, Nur Hafizah
2017412246
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Zainuddin, Nurulhuda
UNSPECIFIED
Subjects: L Education > LT Textbooks
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Algorithms
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Computer Science (Hons) (CS230)
Item ID: 35608
Uncontrolled Keywords: Malaysian secondary school; Textbook; Term Frequency-Inverse Document Frequency (TF-IDF); Algorithm
URI: https://ir.uitm.edu.my/id/eprint/35608

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