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Browsing by Subject "Support Vector Machine"

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ANALISA SENTIMEN MASYARAKAT TERHADAP ISU LESBIAN, GAY, BISEX, DAN TRANSGENDER MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE

Nasution, Abduh Maghfuri (Elfitra, 2023-02)

Sentiment analysis is the process of analyzing data that will be classified according to the class of sentiment in an argument. The rise of Lesbian, Gay, Bisexual, and Transgender(LGBT) talk on the Twitter application ...
ANALISA SENTIMEN PENGGUNA TERHADAP KEBIJAKAN BARU WHATSAPP MENGGUNAKAN NAIVE BAYES CLASSIFIER DAN SUPPORT VECTOR MACHINE

Alawiyah, Nur’aini (Elfitra, 2021-12)

This study applies the Naïve Bayes Classifier (NBC) and Support Vector Machine (SVM) algorithms in classifying WhatsApp user review data to determine the percentage of user sentiment towards the whatsapp’s new privacy ...
ANALISIS PERSEPSI MASYARAKAT TERHADAP PENGESAHAN UU CIPTA KERJA TAHUN 2020 MENGGUNAKANMETODE SVM DAN NBC

Imannurin, Alparondi (Elfitra, 2022-07)

Twitter is one of the social media that people choosen to express their opinion. Opinion is a statement from the public based on their problem which distribute through social media. The government has legitimate the Job ...
ANALISIS SENTIMEN PADA KOMENTAR INSTAGRAM DPR RI MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

Arisma, Fauzan (2020-11)

Instagram is one of the most used social media in Indonesia. Instagram is often used by young people and government agencies to upload their activities. One feature on Instagram for uploading is posting. In the posting ...
ANALISIS SENTIMEN PEMINDAHAN IBU KOTA NEGARA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

Nugraha, Fitrah Agra (Elfitra, 2023-05)

The relocation of the National Capital City is the government's effort in dealing with the carrying capacity and capacity of the environment which is no longer able to support economic activities. This policy reaped ...
Analisis Sentimen Pengguna Terhadap Aplikasi Netflix di Google Play Store Menggunakan Support Vector Machine

Azura, Endah (Elfitra, 2023-03)

During the COVID-19 pandemic, one of the activities commonly carried out by the community, such as going out of the house, was limited by the PSBB (Large-Scale Social Restrictions). This made people stay at home more and ...
ANALISIS SENTIMEN TERHADAP PELAKSANAAN PEMBATASAN SOSIAL BERSKALA BESAR (PSBB) PADA MASA NEW NORMAL MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM)

Handayani, Dwi (Elfitra, 2022-01)

The spread of the COVID-19 virus has now become a pandemic because it has spread throughout the world, including Indonesia. The prositive case rate and the increasing death rate led the Indonesian government to make a ...
ANALISIS SENTIMEN TWITTER TERHADAP KENAIKAN HARGA BAHAN BAKAR MINYAK INDONESIA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

Adhawiyah, Rosa (Elfitra, 2023-03)

Sentiment analysis is a process that aims to determine positive or negative polarity. Twitter, as a social media platform, is used as a space for public information and opinions in responding to issues, including the ...
ANALISIS SENTIMEN TWITTER TERHADAP PEPERANGAN RUSIA DAN UKRAINA MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE

Andraini, Fitri (Elfitra, 2022-07)

Sentiment analysis is one of the sciences in Text Mining which is used to classify text documents in the form of public opinion. The text document used in this study comes from Twitter using three positive, negative, and ...
Event of the 2020 regional head election became controversial, because it was held during the Covid-19 that hit Indonesia. Although it was postponed, the General Elections Commission (KPU) has rescheduled the 2020 regional head elections until the end of the year. The KPU believes that the regional head election will still be carried out by prioritizing health protocols at every stage of the regional head election. Responding to two equally important conditions, comments appear on various social media such as Twitter where everyone is free to give positive and negative opinions. Public concerns arise if the 2020 simultaneous regional head elections are still held, the possibility of Covid-19 getting out of control. This regional head election will be an arena for the spread and transmission of Covid-19 on a large scale. The studied was conducted to obtain a general perception or picture of public sentiment towards the implementation of regional head elections during the Covid-19 using the Support Vector Machine (SVM) method. The stages in this research included data collection, data pre-processing, TF-IDF weighting, data sharing, classification used Support Vector Machine (SVM) and evaluation used a confusion matrix. Based on the resulted of the research used the confusion matrix, the highest accuracy value is 97%, the highest precision value is 96.8% and the recall is 99% with the distribution of tested data and training data 90%: 10%.

Sepdiansyah, Wahyu (Elfitra, 2022-07)

Event of the 2020 regional head election became controversial, because it was held during the Covid-19 that hit Indonesia. Although it was postponed, the General Elections Commission (KPU) has rescheduled the 2020 regional ...
KLASIFIKASI BERITA MENGGUNAKAN SUPPORT VECTOR MACHINE UNTUK MENGETAHUI JENIS KONTEN E-GOVERNMENT

Erlinda, Ella (2020-10)

The development of technology today has provided a lot of convenience, one of which is in terms of the spread of news. Now, news delivery can be through the website. The website makes it easy for people to access news ...

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