Authors :
Ahmad Cahyono Adi; Dyan Puji Lestari; Elsa; Fiqrudina Sain Saputri; Yohanes Sabui
Volume/Issue :
Volume 7 - 2022, Issue 1 - January
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3gOJXmp
DOI :
https://doi.org/10.5281/zenodo.6090873
Abstract :
The COVID-19 pandemic entered at the
beginning of 2020 which hit various countries in the
world, including Indonesia, with 4,259,644 contaminated
cases (Kawal Covid 19. 2021). The impact of the COVID19 pandemic is in the economic, tourism, and education
sectors. The most obvious impact due to this pandemic is
in the field of education, where every process of teaching
and learning activities is limited or even encouraged to
study from home. Therefore, teaching and learning
activities are carried out online or in a network (online).
Educators are starting to look for alternative methods
used in online learning because in Indonesia they still use
conventional learning or are still in the form of face-toface learning directly with a classical system.The Naive
Bayes method is a classification using probability and
statistical methods, namely by predicting future
opportunities based on previous experience. The main
feature of the Naïve Bayes classification is to get a strong
hypothesis from each condition or event. The following is
the equation of Bayes' theorem In the rapid miner tools,
the data is then retrieved by taking the text and label
attributes that have been given during the labeling
process. The data is added with a label attribute to
facilitate the classification process. After that, the labeled
data is then normalized by changing or removing
unimportant attributes, in this case, the unimportant data
is other than letters. Therefore, a process of deleting nonletter-type data is needed which includes numbers and
symbols.
Keywords :
Covid-19; Naïve Bayes Algorithm;Sentiment Analysis; Text Mining;Twitter.
The COVID-19 pandemic entered at the
beginning of 2020 which hit various countries in the
world, including Indonesia, with 4,259,644 contaminated
cases (Kawal Covid 19. 2021). The impact of the COVID19 pandemic is in the economic, tourism, and education
sectors. The most obvious impact due to this pandemic is
in the field of education, where every process of teaching
and learning activities is limited or even encouraged to
study from home. Therefore, teaching and learning
activities are carried out online or in a network (online).
Educators are starting to look for alternative methods
used in online learning because in Indonesia they still use
conventional learning or are still in the form of face-toface learning directly with a classical system.The Naive
Bayes method is a classification using probability and
statistical methods, namely by predicting future
opportunities based on previous experience. The main
feature of the Naïve Bayes classification is to get a strong
hypothesis from each condition or event. The following is
the equation of Bayes' theorem In the rapid miner tools,
the data is then retrieved by taking the text and label
attributes that have been given during the labeling
process. The data is added with a label attribute to
facilitate the classification process. After that, the labeled
data is then normalized by changing or removing
unimportant attributes, in this case, the unimportant data
is other than letters. Therefore, a process of deleting nonletter-type data is needed which includes numbers and
symbols.
Keywords :
Covid-19; Naïve Bayes Algorithm;Sentiment Analysis; Text Mining;Twitter.
