How to cite (IEEE): -. Sarmini, A. Alhabeeb, M. Abusharhah, T. Hariguna, & A. Hananto "An Investigation into Indonesian Students' Opinions on Educational Reforms through the Use of Machine Learning and Sentiment Analysis," JOIV : International Journal on Informatics Visualization, vol. 6, no. 3, , pp. 604-609, Sep. 2022. https://doi.org/10.30630/joiv.6.3.894

How to cite (APA): Sarmini, -., Alhabeeb, A., Abusharhah, M., Hariguna, T., & Hananto, A. (2022). An Investigation into Indonesian Students' Opinions on Educational Reforms through the Use of Machine Learning and Sentiment Analysis. JOIV : International Journal on Informatics Visualization, 6(3), 604-609. https://doi.org/10.30630/joiv.6.3.894

How to cite (Chicago): Sarmini, -, Alhabeeb, Abdullah, Abusharhah, Majed Mohammed, Hariguna, Taqwa, AND Hananto, Andhika Rafi. "An Investigation into Indonesian Students' Opinions on Educational Reforms through the Use of Machine Learning and Sentiment Analysis" JOIV : International Journal on Informatics Visualization [Online], Volume 6 Number 3 (30 September 2022) https://doi.org/10.30630/joiv.6.3.894

How to cite (Vancouver): Sarmini -, Alhabeeb A, Abusharhah M, Hariguna T, & Hananto A . An Investigation into Indonesian Students' Opinions on Educational Reforms through the Use of Machine Learning and Sentiment Analysis. JOIV : International Journal on Informatics Visualization [Online]. 2022 Sep; 6(3):604-609. https://doi.org/10.30630/joiv.6.3.894

How to cite (Harvard): Sarmini, -., Alhabeeb, A., Abusharhah, M., Hariguna, T., & Hananto, A. ,2022. An Investigation into Indonesian Students' Opinions on Educational Reforms through the Use of Machine Learning and Sentiment Analysis. JOIV : International Journal on Informatics Visualization, [Online] 6(3), pp. 604-609. https://doi.org/10.30630/joiv.6.3.894

How to cite (MLA8): Sarmini, -, Abdullah Alhabeeb, Majed Mohammed Abusharhah, Taqwa Hariguna, & Andhika Rafi Hananto. "An Investigation into Indonesian Students' Opinions on Educational Reforms through the Use of Machine Learning and Sentiment Analysis." JOIV : International Journal on Informatics Visualization [Online], 6.3 (2022): 604-609. Web. 1 Jun. 2023 , https://doi.org/10.30630/joiv.6.3.894

BibTex Citation Data :

@article{JOIV894,
    	author = {- Sarmini and Abdullah Alhabeeb and Majed Mohammed Abusharhah and Taqwa Hariguna and Andhika Rafi Hananto},
    	title = {An Investigation into Indonesian Students' Opinions on Educational Reforms through the Use of Machine Learning and Sentiment Analysis},
    	journal = {JOIV : International Journal on Informatics Visualization},
    	volume = {6},
    	number = {3},
    	year = {2022},
    	keywords = {Machine learning; sentiment analysis; public opinions; E-Learning.},
    	abstract = {An anti-Covid-19 plan with social restrictions forced all Indonesian educational institutions to implement online learning in 2020. Strategy in early 2022, a new policy brought back online learning methods. Because of the rapid change and short adaptation period, online learning, which had been accepted as a solution for approximately two years, has become controversial. There were a variety of reactions in society, particularly on social media, after the rapid shift from face-to-face learning to online learning. This study will quantify text sentiment expressed on social media through machine learning. This study used SVM, RF, DT, LR, and k-nearest neighbors to develop a sentiment analysis model for use in sentiment research (KNN). The SVM- and RF-based sentiment analysis models outperform the others in cross-validation tests using data from the same Twitter social media site. Furthermore, RF can classify public opinion into three groups: positive, negative, and neutral, with a low error rate. The f1 values of our KNN-based model were measured at 75%, 65%, and 87% for negative, neutral, and positive tweets, respectively, which are slightly more accurate than previous studies with the same method and purpose.},
        	issn = {2549-9904},    	pages = {604--609},    	doi = {10.30630/joiv.6.3.894},
        	url = {https://joiv.org/index.php/joiv/article/view/894}
    }
    

Refworks Citation Data :

@article{{JOIV}{894}, author = {Sarmini, -., Alhabeeb, A., Abusharhah, M., Hariguna, T., Hananto, A.}, title = {An Investigation into Indonesian Students' Opinions on Educational Reforms through the Use of Machine Learning and Sentiment Analysis}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {6}, number = {3}, year = {2022}, doi = {10.30630/joiv.6.3.894}, url = {} }