Jurnal Genap 20212

Jurnal Genap 20212

• By Widi Astuti1; Elly Firasari2; F. Lia Dwi Cahyanti3; Fajar Sarasati4;
• Jurnal Nasional Terakreditasi
• 229
• 15-21

information technology is
developing rapidly with the development of
hardware and hardware developed by the
world's largest companies. These advances
have a significant impact on human life.
Many jobs in human life use the help of
technology. data mining technology, one of
which is used in the field of research. Data
mining extracts valuable information by
analyzing the presence of certain patterns or
relationships from large amounts of data.
Indonesian government agencies routinely
organize the recruitment and selection of
Candidates for Civil Servants (CPNS). Almost
every year the government opens CPNS
formations and it is never empty of
applicants. Prospective Civil Servants
(abbreviated as CPNS) are employees who
have just passed the first stage of the
selection test for Candidates for Civil
Servants. Minister for Administrative
Reform and Bureaucratic Reform (PANRB)
Tjahjo Kumolo said the government would
eliminate the recruitment of prospective
civil servants (CPNS) in 2020. In order to find
out the enthusiasm of the people in
Indonesia, this study took data from reviews
on the Twitter application with the topic of
CPNS Acceptance. 2021. Using Textblob
sentiment analysis, the sentiment class used
was positive, negative and neutral sentiment
class, and the data mining method used was
Logistic Regression.

• Katakunci Data mining, CPNS acceptance, Textblob, SVM, Logistic Regression.
• URL http://
• Penerbit Jurnal Techno Nusa Mandiri, Jakarta DKI Jakarta

REFERENSI

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dan Keuangan), 12.
https://doi.org/https://doi.org/10.3
2670/fairvalue.v4i2.650
Astuti, W. et all. (2022). ANALYSIS
SENTIMENT ON THE ACCEPTANCE
OF CPNS 2021 ON TWITTER SOCIAL
MEDIA USING TEXTBLOB, 17(1), 1–6.
Binsar, T. M. dan F. (2020). Cross-Industry
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