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All Journal Agrotekno MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Teknologi Pertanian Jurnal Dinamika Penelitian Industri Sistemasi: Jurnal Sistem Informasi Jurnal Hasil Penelitian Industri NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Jurnal HIDROPILAR PUBLIKASI PENELITIAN TERAPAN DAN KEBIJAKAN Indonesian Journal for Social Responsibility Jurnal Ilmu Komunikasi Network Media Jurnal Multidisiplin Dehasen (MUDE) Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat Jurnal Pengabdian Pada Masyarakat Innovative: Journal Of Social Science Research Da'watuna: Journal of Communication and Islamic Broadcasting
Tri Susanto
Balai Riset dan Standardisasi Industri Banda Aceh
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Journal : Sistemasi: Jurnal Sistem Informasi

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Implementation of the Support Vector Machine (SVM) Algorithm on Sentiment Analysis of Public Opinion on The Prohibition of the use of Syrupy Drugs for Kidney Health Purnomo, Galih; Rumini, Rumini; Susanto, Tri
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4444

Abstract

In 2022, the Indonesian Ministry of Health reported several cases of pediatric acute renal failure (GGAPA), which resulted in a mortality rate of 59%, mainly among children aged between 1-5 years. The main causes were identified by Health Minister Budi Gunadi Sadikin as the three solvents ethylene glycol (EG), diethylene glycol (DEG), and ethylene glycol butyl ether (EGBE). In response, the government implemented restrictions on the consumption of these condensed substances, which led to mixed public reactions observed in the YouTube comments section. The purpose of this study is to evaluate public opinions on the syrup ban for kidney health. The comments will be classified using the Support Vector Machine (SVM) method, and the most effective kernel among linear, sigmoid, polynomial, and RBF will be identified. Data was collected through web scraping with 5000 initial data, and after preprocessing, 4794 data were processed. The analysis results show that the linear kernel has the highest accuracy of 75.63%, followed by the sigmoid kernel 75.29%, RBF 74.79%, and polynomial 71.09%. While the K-Fold Cross Validation test with a value of k = 10, produced a value of 74.64% for the linear kernel. This research concludes that the Support Vector Machine (SVM) algorithm with a linear kernel achieves the highest accuracy in sentiment analysis.
Co-Authors A. Harijono A.A. Ketut Agung Cahyawan W Al Anzhary, Rafdy Alfa Yusuf Retyoadhi Alfianarrochmah, 'Ilma Amalia, Cinta Aulanni'am, Aulanni'am Bagus Hario Setiadji Bambang Purwanggono Budhiharti, Tri Widya Budipriyanto, Adi Carudin, Carudin CH. Yayuk Trisnawati Chasri Nurhayati, Chasri Defriyanti, Wenni Tania Deni, Delista Putri Dr.Ir. Yunianta, DEA Efriandi, Efriandi Erni Sofia Murtini Erryana Martati Ferry Hermawan G.P. Ganda Putra Gunawan, Yosef Halimah, Rainy Shinta Nur Hari Adi Prasetya, Hari Adi Ida Ayu Ulifah Jamil, Syakira Nasywa Juairiyah, Oktaf Kartini Zailanie Kiagus Ahmad Roni Kurnianingsih, Oktavia Kurniawan, Endro Sigit Legowo, Slamet Jauhari Lubis, Fardiah Oktariani Mahfuda, Anno Manurung, Ayu Oktaviani Muflih Marsuq Muthaher, Andi Muhammad, Fathur Rahman Nayiroh, Luluatu Negara, Adhi Kusuma Ni Made Wartini Ni Made Wartini Harijono Ningtias, Mista Aura Novianti, Mirsa Diah Nursanty, Nursanty OKY OXCYGENTRI Oom Komalasari Pradana H S, Canggih Gilang Pratama, Ramadhan Widy Pratiwi, Anik Nurul Pratiwi, Kholis Hapsari Purnomo, Galih Putra, Muhammad Hatta Eka Putri, Dita Mentari Rahmi, Ardia Tiara Ramdhani, Heru Ratih Kusumawardani Rifdah, Rifdah Roni, Ki agus Ahmad Rumini - Rurini Retnowati SATRIYAS ILYAS Shanahan, Callysta Simon B. Widjanarko Sri Kumalaningsih Sri Maryani Sudarminto Setyo Yuwono Sugeng Rakhmadiono Surya Irawan, Diki Tayo, Yanti Wijaya Adidarma Wijaya, Hanggoro Iskandar Putra Yanti Meldasari Lubis Yanto, Fendi Hary Yenny Sugiarti Yunianta Rurini Retnowati Yusup, Eka Zainal Abidin Zohan Efendi