PENGGUNAAN TWITTER DALAM MENGANALISA SENTIMEN KEBIJAKAN RANCANGAN CIPTA KERJA OMNIBUS LAW

• SUROHMAN
• 14002280

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ABSTRAK

ABSTRAK

 

Nama                     :

Surohman

 

NIM                      :

14002280

Program Studi       :

Magister Ilmu Komputer

Jenjang                     :

Strata Dua (S2)

Konsentrasi                :

Data Mining

Judul                      :

“Penggunaan Twitter Dalam Menganalisa  Sentimen Kebijakan Rancangan Cipta Kerja Omnibus Law”

 

Media sosial saat ini merupakan sesuatu yang tidak mungkin terpisah dari setiap orang, seperti Instagram, twitter, facebook, path, line dan banyak lagi. Dari fenomena ini, menjadikan media sosial sebagai sumber data yang dapat digunakan untuk mencari opini publik secara instan.  Analisa terhadap suatu fenomena menjadi pokok bahasan menarik untuk dibahas dan menjadi trending topik salah satu sentiment yang dijadikan pada penelitian ini adalah tentang opini publik terhadap omnibuslaw cipta kerja  Beragam komentar dikumpulkan dan diklasifikasikan menjadi sebuah dataset untuk menilai komentar mengenai sentiment omnibuslaw positif atau negatif yang diproses dengan menggunakan tools rapidminer dengan menggunakan komparasi algoritma naïve bayes, support vector machine dan k-nearest neighbor hasilnya algoritma support vector machine memiliki akurasi lebih unggul sebesar 85,88% untuk sentiment analisis pada topik omnibuslaw cipta kerja. Tujuan penelitian ini untuk mengetahui pro dan kontra terhadap opini yang dibahas yaitu omnibuslaw cipta kerja.

 

 

Kata kunci: Omnibuslaw, Sentiment analisis, Support Vector Machine, Naïve Bayes, K – Nearest Naighbor.

KATA KUNCI

Data Mining

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DAFTAR PUSTAKA

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