?url_ver=Z39.88-2004&rft_id=1617051126&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=SENTIMENT+ANALYSIS+PERSEPSI+MASYARAKAT+TERHADAP+PROTOKOL+KESEHATAN+VIRUS+CORONA+DI+TWITTER+MENGGUNAKAN+WORD2VEC+MODEL+DAN+RECURRENT+NEURAL+NETWORK+LEARNING&rft.creator=NI+PUTU+AYU+ANESCA%2C+1617051126&rft.subject=005+Pemrograman+komputer%2C+program+dan+data&rft.description=%0D%0A%0D%0A%0D%0AABSTRACT%0D%0A%0D%0A%0D%0ASENTIMENT+ANALYSIS+OF+PUBLIC+PERCEPTION+OF+THE+CORONA+VIRUS+HEALTH+PROTOCOL+ON+TWITTER+USING+WORD2VEC+MODEL+AND+RECURRENT+NEURAL+NETWORK+LEARNING%0D%0A%0D%0A%0D%0A%0D%0ABy%0D%0A%0D%0A%0D%0ANi+Putu+Ayu+Anesca%0D%0A%0D%0A%0D%0A%0D%0ASentiment+analysis+is+a+computational+study+of+opinion+from+various+opinions%2C+which+is+part+of+the+work+that+conducts+a+review+related+to+the+computational+treatment+of+opinions%2C+sentiments%2C+and+perceptions+of+the+text.+To+solve+various+problems+in+sentiment+analysis%2C+needed+a+good+text+representation+method.+In+this+study%2C+a+deep+learning+analysis+was+carried+out+using+the+Recurrent+Neural+Network+(RNN)+method+and+the+Word2Vec+Model+as+word+embedding+in+sentiment+classification.+The+sentiment+dataset+used+comes+from+user+reviews+on+Twitter+(tweets)+on+the+health+protocols+implemented+by+the+public+from+the+government's+appeal.+The+results+showed+that+the+RNN+model+using+sigmoid+activation+resulted+in+the+greatest+accuracy+of+66%25.+The+training+process+in+this+test+uses+10+epochs+and+32+batch+sizes+so+that+the+precision+value+for+negative+sentiment+is+54%25+and+for+positive+sentiment+is+67%25.%0D%0A%0D%0AKeywords%3A+Health+Protocol%2C+RNN%2C+Semtiment+Analysis%2C+Word2Vec+Model%0D%0A%E2%80%83%0D%0A%0D%0A%0D%0A%0D%0AABSTRAK%0D%0A%0D%0A%0D%0ASENTIMENT+ANALYSIS+PROTOKOL+KESEHATAN+VIRUS+CORONA+DARI+TWEET+MENGGUNAKAN+WORD2VEC+MODEL+DAN+RECURRENT+NEURAL+NETWORK+LEARNING%0D%0A%0D%0A%0D%0A%0D%0AOleh%0D%0A%0D%0ANi+Putu+Ayu+Anesca%0D%0A%0D%0A%0D%0A%0D%0ASentiment+analysis+adalah+studi+komputasi+opini+dari+berbagai+opini%2C+yaitu+bagian+dari+pekerjaan+yang+melakukan+peninjauan+berkaitan+dengan+perlakuan+komputasional+opini%2C+sentimen%2C+dan+persepsi+dari+teks.+Untuk+menyelesaikan+berbagai+masalah+dalam+sentiment+analysis%2C+diperlukan+metode+representasi+teks+yang+baik.+Dalam+penelitian+ini%2C+dilakukan+analisis+deep+learning+menggunakan+metode+Recurrent+Neural+Network+(RNN)+serta+Word2Vec+Model+sebagai+embedding+kata+dalam+klasifikasi+sentiment.+Dataset+sentiment+yang+digunakan+berasal+dari+tweet+pengguna+di+Twitter+(tweet)+terhadap+protokol+kesehatan+yang+diterapkan+oleh+masyarakat+dari+himbauan+pemerintah+Indonesia.+Hasil+penelitian+menunjukkan+bahwa+Model+RNN+menggunakan+aktivasi+sigmoid+menghasilkan+akurasi+terbesar+bernilai+66%25.+Proses+training+pada+pengujian+ini+menggunakan+sebanyak+10+epoch+dan+32+batch+size+sehingga+nilai+precision+untuk+sentiment+negatif+sebesar+54%25+dan+untuk+sentiment+positif+sebesar+67%25.+%0D%0A%0D%0AKata+kunci%3A+Protokol+Kesehatan%2C+RNN%2C+Sentiment+Analysis%2C+Word2Vec+Model%0D%0A%0D%0A&rft.publisher=FAKULTAS+MIPA&rft.date=2022-01-18&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F62822%2F1%2FABSTRAK%2520-%2520NI%2520PUTU%2520AYU%2520ANESCA.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F62822%2F2%2FFULL%2520SKRIPSI%2520-%2520NI%2520PUTU%2520AYU%2520ANESCA.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F62822%2F3%2FFULL%2520SKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN%2520-%2520NI%2520PUTU%2520AYU%2520ANESCA.pdf&rft.identifier=++NI+PUTU+AYU+ANESCA%2C+1617051126++(2022)+SENTIMENT+ANALYSIS+PERSEPSI+MASYARAKAT+TERHADAP+PROTOKOL+KESEHATAN+VIRUS+CORONA+DI+TWITTER+MENGGUNAKAN+WORD2VEC+MODEL+DAN+RECURRENT+NEURAL+NETWORK+LEARNING.++FAKULTAS+MIPA%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F62822%2F