Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Kharisma Tech

ANALISIS SENTIMEN BAKAL CALON PRESIDEN 2024 MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE PADA TWITTER Winarto, Wilson; Alwiah Musdar, Izmy; Hasniati, Hasniati
KHARISMA Tech Vol 19 No 1 (2024): Jurnal KHARISMATech
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v19i1.464

Abstract

Indonesian is a democratic country with a huge population and the largest Twitter users in the world. The 2024 presidential election in Indonesia is an interesting topic for Twitter users. Public tweets related to presidential candidates can be used to see a picture of public opinion on presidential candidates. The large number of incoming tweets about presidential candidates encourages the need for methods that help to see public opinion effectively. One method that can be used to classify public opinion effectively is Support Vector Machine (SVM). This method will classify whether a public opinion belongs to a positive or negative sentiment by finding the best hyperlane from both classification classes. The addition of the Kernel function to the Support Vector Machine is useful for dealing with data that is not linearly separated. The use of the K-Fold Cross Validation Method is intended so that data can alternately become test data so as to increase accuracy. Weighting is done using the Term Frequency Document Inverse Frequency (TF-IDF). System evaluation was carried out using a confusion matrix to measure the accuracy of the system in classifying the average accuracy using a linear kernel. The results of the classification obtained by Anies Baswedan get an accuracy of 78.28% and a precision of 81.298%. Ganjar Pranowo received an accuracy of 82.494% and a precision of 85.642%. Prabowo Subianto received an accuracy of 83.904% and a precision of 86.22%.
Co-Authors A. Muin, Muhammad Irham Abbas, Risma Abdullah, Muh Tang Abdullah, Muh.Tang Abdullah, Nurjannah Abdullah, Tang Abubakar, Achmad Adam Adam Adam, Aenal Fuad Agussalim, Anggit Aulia Ahmad Ismail Ahmad, Badu Ahyar Muawwal Alwiah Musdar, Izmy Amalia , Ayu Andi Patta Yusuf Anniza, Nurul Asnuddin, Asnuddin Astina Astina, Astina Ayuni, Nurul Qurrata Bahrul Ulum Ilham, Bahrul Ulum Biana Adha Inapty, Biana Adha Daud, Jumerti Debi Novita Siregar Endang Sari, Endang Eni Indriani Fernanda, Raisya Putri Fitriani Fitriani Gita Susanti, Gita Haerul, Haerul Haning, Mohamad Thahir Haning, Mohammad Tahir Harbaeni, Harbaeni Hasriati Hasriati, Hasriati Hayati Hayati Ibrahim , Akmal Ibrahim, Akmal Ibrahim, Muh Akmal Ibrahim, Muh. Akmal Ibrahim, Muhammad Akmal Irmawati Irmawati Iskandar Iskandar Iskandar, Didik Istiqomah, Nurmala Kada, Maria Kurnyata Rante Karman Lanani Kasogi, Muh Adnan Kasogi, Muhammad Adnan Khalisah Latuconsina, Nur Kherunnisa, Kherunnisa Koichi, Ohashi Leni Saleh, Leni Lilianti, Lilianti Majid, Ahmad Farham Mappisabbi, Muhammad Fadli Masriadi, Masriadi Mayasari, Hartini Monalisa Monalisa Mubasyisyir, Mubasyisyir Muh. Yunus Muhammad Rusdi Nara, Nurdin Nursalam Nursalam oktamarina, lidia Pagarra, Firman Pamita Sari, Rinanthy Pamuti Pamuti Pauzi, Rizal Pulubuhu, Dwia Aries T Putera, Arifin Fajar ramadani, Novita Rasyid, Muh Nur Renny Renny Rianti, Desi Saldy Yusuf Sarty Siti Nurbaya Sitinjak, Hasnah Sri Wahyuni sukri Sukri, sukri Sumiratin, Endang Suratmi, Lily Syahriani Syahriani, Syahriani Syahribulan Syahribulan, Syahribulan Syahruddin Syahruddin Syarbiah, Sarty T. Tikson, Deddy Tamma, Sukri Tikson, Deddy T. Usman Usman W, Muhammad Fahreza Waicang, Rode Winarto, Wilson Yacoline Pailungan, Ferly Yusuf, Hijrah Hasim