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Journal : Jurnal Teknik Informatika (JUTIF)

SVM OPTIMIZATION WITH INFORMATION GAIN FEATURE SELECTION TO INCREASE THE ACCURACY OF SENTIMENT ANALYSIS OF INCREASING THE COST OF THE HAJJ Hidayat, Manarul; Wibowo, Arief
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2217

Abstract

Everyone's freedom to express their opinions is now poured into a platform known as social media. This platform allows people in the digital world to communicate with each other using the internet. YouTube is one of the most popular social media platforms worldwide. In 2023, the Government, in this case the Ministry of Religious Affairs of the Republic of Indonesia and Commission VIII of the House of Representatives have approved the Hajj Travel Cost 1444 H/2023 AD with a range of Rp90,050,637.26 per regular pilgrim. In contrast to the government of the Kingdom of Saudi Arabia, which implemented a policy of reducing the cost of the Hajj package by 30% from 2022. This has caused pros and cons to the hajj cost increase. Public opinion on social media is the focus of this research to conduct sentiment analysis. Sentiment analysis has been developed through various methods, but there are still many challenges to produce accurate sentiment analysis. The challenges include accuracy, binary classification, data sparsity, and polarity shift. One of the challenges in improving accuracy is the focus of this research. In this study, the Support Vector Machine method is applied and Information Gain feature selection is added. The accuracy results obtained in this study are the Support Vector Machine method (87%) and Support Vector Machine combine with information gain feature selection (89%). It can be concluded, the support vector machine method combined with information gain feature selection proves an increase in accuracy by 2%.
Co-Authors Adi Utama Ahmad Faqih Ahmad Habibullah Aini, Septi Nurul Alfianti, Fifi Nur Almuntaqo Zainuddin Andriani, Nanu Anggraini, Vella Dwi Arfian, Arfian Arief Wibowo Armeita, Ade Azhar, Satrio Waliyudin Azzahra, Salsabila Putri Bambang Rudiansah Cahyadi Dedy Prasetyo Dermawan, Alif Fito Diputra, Angga Anugra Efrianto, Gatot Estiawan, Belva Yulivio Fauzi, Ujang Anwar Hafidzi, Muhammad Kamil Handayani, Erfin Dwi Fitria Heru Irianto Hidayatullah, Akmal Hilma, Dede Hilmy Ibrahim, Farras I'tisham, M. Rayhan Ida Gunawati, Amalia Ilyas, Doni Jamalam Lumbanraja Kartika Dewi, Mutiara Kuncara, Ramadhan Bima Kurnia, Ananda Ika Kurniali, M. Haidar Fikri Kuswanto, Andi Diah Maarif, Miftah Nurul Malau, Aulia Rohman Mukti, Ajeng Tanjiah Setia Nada, Ahmad Novianti, Alvin Dwi Nugraha, Rangga Setya Nurahim, Yudi Nurcahyani, Lala Intan Nurfath, Al Fachri Nurjamiludin, Irwan Nurlina, Ade Nurmalasari, Neneng Oktavia, Nova Puspita, Gita Putri, Mirza Agustin Rahma R, Jamiludin Rachman, M. Erika Rachmat Pramukty Rafika, Muhana Ramadani, Achmes Dade Ramadhanty, Denisa Ramdani, Usep Purkon Rasmanah, Cici Riandini, Anyeu Rokhmah, Akhirul Insan Nur Rudiansyah, Bambang Safaat, Birkham Pahmi Sahira, Gigih Yulia Salsabila, Annisa Septi Rahayu Setiawati, Astriana Rahmi Siti Hadiyati Nur Hafida Sitorus, Betris Kristin Sosor Ambar Wati Sulistia, Desi Sri Sumanto, Sumanto Sutrisno, Sutrisno Syihab, Firiyal Luthfi Tati Suprapti Toyibah, Euis Hayun Utami, Dita Rosa Vera Rimbawani Sushanty Wahyudianto, Raafi Catur Wandy, Yusef Wardani, Vifi Ayu Wardhana, Fajar Wira Warhana, Fajar Wira Wibowo, Daffa Satrio Yahya, Ananda Intan Fadhilah Yayat Hidayat Yudiantari, Amalia Luthfi Yuniandari, Kartika Yusuf, Fauzi Maulana