SENTIMEN PUBLIK DALAM PEMBERITAAN BITCOIN: Sebuah Pendekatan Semiotika Komputasional

Istikomah, - (2018) SENTIMEN PUBLIK DALAM PEMBERITAAN BITCOIN: Sebuah Pendekatan Semiotika Komputasional. S2 thesis, Universitas Pendidikan Indonesia.

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Abstract

Penelitian ini bertujuan mendeskripsikan isu humaniora yang terdapat pada sentimen publik. Masalah pokok humaniora pada penelitian ini, terkait dengan kritik sosial yang terjadi di masyarakat melalui fenomena bitcoin. Kritik sosial terkait pemberitaan bitcoin, diperoleh melalui analisis sentimen dan interpretasi komentar. Analisis sentimen dilakukan untuk mendeskripsikan kecenderungan sentimen yang terdapat pada komentar. Selanjutnya, interpretasi pada komentar ditelaah untuk mendeskripsikan kritik sosial yang terjadi di masyarakat. Aplikasi Sentimen Web-Based (Python NLTK) dan metode Computer-Mediated Discourse (CMD), digunakan dalam menganalisis sentimen. Domain linguistik dari Computer-Mediated Discourse, digunakan sebagai validasi sentimen. Kemudian, teori Semiotika Model Peirce digunakan untuk menganalisis interpretasi pada komentar. Pemaknaan interpretasi melalui tanda, objek (acuan), dan melibatkan aspek sosial-budaya. Hasil penelitian menunjukan, terdapat tiga kategorisasi yang muncul pada sentimen, yaitu sentimen positif, negatif dan ambigu. Selanjutnya, pada hasil interpretasi, terdapat tujuh kategorisasi hasil interpretasi, yaitu kapitalisme, penggunaan teknologi, isu korupsi, kredibilitas media, krisis keuangan, relasi negara, dan legalitas mata uang. Berdasarkan dua temuan tersebut, dapat disimpulkan bahwa kecenderungan sentimen yang terdapat pada komentar, bersifat positif (53,5%). Komentar positif tersebut mendeskripsikan dukungan terhadap penggunaan teknologi. Selanjutnya, kecenderungan hasil interpretasi pada komentar, yaitu pada interpretasi legalitas mata uang (25,6%). Simpulan lainnya, suasana politik cenderung berkontribusi dalam peningkatan pemberitaan bitcoin di media Kompas.;-- This study aims to describe issue in humanities through public sentiments. The main problem in this study is related to social criticisms that occur in society through bitcoin phenomena. Social criticisms relating to bitcoin news is obtained through sentiment analysis and interpretations of comments. Sentiment analysis is conducted to describe the sentiments’ tendency in comments. Furthermore, the interpretation of comments are reviewed to reveal social criticisms that occurs in society. Sentiment Web-Based of Python NLTK and Computer-Mediated Discourse (CMD) methods, are used in analyzing sentiments. The linguistic domain of Computer-Mediated Discourse is used as a sentiment validation. Then, the Semiotics theory of Peirce Model is used to analyze the interpretation of comments. Interpretation is taken from the sign, object (reference), and also considers about socio-cultural aspect. The results show that there are three categorizations that appear on sentiment analysis: positive, negative and ambiguous sentiment. Next, in the interpretation result, there are seven categorizations: capitalism, technology usage, corruption issue, media credibility, financial crisis, international relation, and legality of currency. Based on these two findings, it can be concluded that the sentiment tendency in the comments, is positive (53.5%). The positive comment describes a support for the use of technology. Furthermore, the tendency of the interpretation results is about legality of the currency (25.6%). In addition, the political atmosphere tends to contribute in increasing bitcoin news in Kompas.

Item Type:	Thesis (S2)
Additional Information:	No. Panggil: T LING IST p-2018; Pembimbing: I. Aceng Ruhendi Saifullah, II. Wawan Gunawan; NIM: 1605544.
Uncontrolled Keywords:	Semiotika Komputasional, Sentimen, Computer-Mediated Discourse, Computational Semiotics,Sentiments, Computer-Mediated Discourse.
Subjects:	P Language and Literature > P Philology. Linguistics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Sekolah Pasca Sarjana > Linguistik S-2
Depositing User:	Mahda
Date Deposited:	09 Aug 2019 07:01
Last Modified:	09 Aug 2019 07:01
URI:	http://repository.upi.edu/id/eprint/37541

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