During the Covid-19 pandemic, many opinions were voiced by the public using social media platforms, one of which was using Twitter. By analyzing the opinion, it can be classified that the opinion is a positive opinion which is a support opinion, or a negative opinion which is a derogatory opinion. But there is another opinion called sarcasm opinion. In this study, analyzing the sarcasm opinions contained in twiiter. For sentiment analysis using unigram, select k-best, and TF-IDF, for classification, namely Naive Bayes. Whereas for the classification of sarcasm using the Random Forest Classifier which has 4 features, namely, Sentiment-relate, Puncuation-relate, Lexcial and Syntatic, and Pattern-relare, for classification using the Decission tree. The results in this study on the training data obtained an accuracy rate of 76%, and for the test data obtained an accuracy rate of 92%.

1.
L.
Suryaningsih
, “Analisis Penggunaan Gaya Bahasa Sarkasme Pada Lirik Lagu Mbojo,”
Ainara J. (Jurnal Penelit. Dan Pkm Bid. Ilmu Pendidikan)
, Vol.
2
, No.
3
, Pp.
274
280
,
2021
.
2.
E.
Inderasari
,
F.
Achsani
, and
B.
Lestari
, “
Bahasa Sarkasme Netizen Dalam Komentar Akun Instragram ‘ Lambe Turah,’
” Vol.
8
, No.
1
,
2019
, doi: .
3.
R. R.
Suryono
and
I.
Budi
, “
P2p Lending Sentiment Analysis In Indonesian Online News
,” Vol.
172
, No.
Siconian 2019
,
2020
, doi: .
4.
J.
Komputasi
and
A.
Rahman
, “
Pendeteksian Sarkasme Pada Proses Analisis Sentimen Menggunakan Random Forest Classifier
,” Vol.
8
, No.
2
, Pp.
50
58
,
2020
.
5.
S.
Styawati
and
K.
Mustofa
, “
A Support Vector Machine-Firefly Algorithm For Movie Opinion Data Classification
,”
Ijccs (Indonesian J. Comput. Cybern. Syst.
, Vol.
13
, No.
3
, p.
219
,
2019
, doi: .
6.
A. R.
Isnain
,
N. S.
Marga
, and
D.
Alita
, “
Sentiment Analysis Of Government Policy On Corona Case Using Naive Bayes Algorithm
,”
Ijccs (Indonesian J. Comput. Cybern. Syst.
, Vol.
15
, No.
1
, Pp.
55
64
.
7.
D.
Alita
,
Y.
Fernando
, and
H.
Sulistiani
, “Implementasi Algoritma Multiclass Svm Pada Opini Publik Berbahasa Indonesia Di Twitter,” Vol.
14
, No.
2
, Pp.
86
91
,
2020
.
8.
D.
Darwis
,
E. S.
Pratiwi
, and
A. F. O.
Pasaribu
, “Data Twitter Komisi Pemberantasan Korupsi Republik Indonesia,”
J. Ilm. Edutic
, Vol.
7
, No.
1
, Pp.
1
11
,
2020
.
9.
D.
Alita
,
S.
Priyanta
, and
N.
Rokhman
, “
Analysis Of Emoticon And Sarcasm Effect On Sentiment Analysis Of Indonesian Language On Twitter
,”
J. Inf. Syst. Eng. Bus. Intell.
, Vol.
5
, No.
2
, p.
100
,
2019
, doi: .
10.
A.
Wantoro
,
A.
Syarif
,
K.
Muludi
, and
K. N.
Berawi
, “
Fuzzy-Based Application Model And Profile Matching For Recommendation Suitability Of Type 2 Diabetic
,”
Int. J. Adv. Sci. Eng. Inf. Technol.
, Vol.
11
, No.
3
, Pp.
1105
1116
,
2021
, doi: .
11.
D.
Alita
and
A. R.
Isnain
, “Pendeteksian Sarkasme Pada Proses Analisis Sentimen Menggunakan Random Forest Classifier,”
J. Komputasi
, Vol.
8
, No.
2
, Pp.
50
58
,
2020
.
12.
Y.
Yunitasari
,
A.
Musdholifah
, and
A. K.
Sari
, “
Sarcasm Detection For Sentiment Analysis In Indonesian Tweets
,”
Ijccs (Indonesian J. Comput. Cybern. Syst.
, Vol.
13
, No.
1
, p.
53
,
2019
, doi: .
13.
M.
Bouazizi
and
T.
Ohtsuki
, “
Opinion Mining In Twitter How To Make Use Of Sarcasm To Enhance Sentiment Analysis
,” in
Proceedings Of The 2015 Ieee/Acm International Conference On Advances In Social Networks Analysis And Mining 2015 - Asonam ’15
,
2015
, Pp.
1594
1597
, doi: .
14.
A.
Nurkholis
,
I. S.
Sitanggang
,
Annisa
, and
Sobir
, “
Spatial Decision Tree Model For Garlic Land Suitability Evaluation
,”
Iaes Int. J. Artif. Intell.
, Vol.
10
, No.
3
, Pp.
666
675
,
2021
, doi: .
15.
H.
Sulistiani
,
F.
Wardani
, and
A.
Sulistyawati
, “
Application Of Best First Search Method To Search Nearest Business Partner Location (Case Study: Pt Coca Cola Amatil Indonesia, Bandar Lampung
),” in
2019 International Conference On Computer Science, Information Technology, And Electrical Engineering (Icomitee)
,
2019
, Pp.
102
106
.
16.
A. A.
Aldino
,
D.
Darwis
,
A. T.
Prastowo
, and
C.
Sujana
, “
Implementation of K-Means Algorithm for Clustering Corn Planting Feasibility Area in South Lampung Regency
,”
J. Phys. Conf. Ser.
, vol.
1751
, No.
1
,
2021
, doi: .
This content is only available via PDF.
You do not currently have access to this content.