Event of the 2020 regional head election became controversial, because it was held during the Covid-19 that hit Indonesia. Although it was postponed, the General Elections Commission (KPU) has rescheduled the 2020 regional head elections until the end of the year. The KPU believes that the regional head election will still be carried out by prioritizing health protocols at every stage of the regional head election. Responding to two equally important conditions, comments appear on various social media such as Twitter where everyone is free to give positive and negative opinions. Public concerns arise if the 2020 simultaneous regional head elections are still held, the possibility of Covid-19 getting out of control. This regional head election will be an arena for the spread and transmission of Covid-19 on a large scale. The studied was conducted to obtain a general perception or picture of public sentiment towards the implementation of regional head elections during the Covid-19 using the Support Vector Machine (SVM) method. The stages in this research included data collection, data pre-processing, TF-IDF weighting, data sharing, classification used Support Vector Machine (SVM) and evaluation used a confusion matrix. Based on the resulted of the research used the confusion matrix, the highest accuracy value is 97%, the highest precision value is 96.8% and the recall is 99% with the distribution of tested data and training data 90%: 10%.
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Date
2022-07
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Publisher
Elfitra
Abstract
Event of the 2020 regional head election became controversial, because it was held
during the Covid-19 that hit Indonesia. Although it was postponed, the General
Elections Commission (KPU) has rescheduled the 2020 regional head elections until
the end of the year. The KPU believes that the regional head election will still be
carried out by prioritizing health protocols at every stage of the regional head election.
Responding to two equally important conditions, comments appear on various social
media such as Twitter where everyone is free to give positive and negative opinions.
Public concerns arise if the 2020 simultaneous regional head elections are still held,
the possibility of Covid-19 getting out of control. This regional head election will be an
arena for the spread and transmission of Covid-19 on a large scale. The studied was
conducted to obtain a general perception or picture of public sentiment towards the
implementation of regional head elections during the Covid-19 using the Support
Vector Machine (SVM) method. The stages in this research included data collection,
data pre-processing, TF-IDF weighting, data sharing, classification used Support
Vector Machine (SVM) and evaluation used a confusion matrix. Based on the resulted
of the research used the confusion matrix, the highest accuracy value is 97%, the
highest precision value is 96.8% and the recall is 99% with the distribution of tested
data and training data 90%: 10%.
Description
Keywords
Sentiment Analysis, Regional head Election, Support Vector Machine, Confusion Matrix, and Twitter
Citation
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