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All Journal Prosiding Seminar Nasional Teknoka
Ahmad Roshid
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Engineering

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Analisis Sentimen Masyarakat Terhadap Mainan Anak “Lato-Lato” Menggunakan Metode Support Vector Machine (Svm) Pada Media Sosial Youtube Ahmad Roshid; Erizal, S.Kom., M.Kom.; Rahmi Imada, S.Kom., M.Kom.
Prosiding Seminar Nasional Teknoka Vol 8 (2023): Proceeding of TEKNOKA National Seminar - 8
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Lato-lato is a children's toy that has gone viral in Indonesia. This children's toy is quite controversial in Indonesian society because this toy creates quite a noise when played but also has several positive impacts for children. The purpose of this research is to analyze the sentiment of Indonesian people towards lato-lato toys from video comments on YouTube social media. The processes carried out are data crawling, preprocessing, normalization, labeling, and SVM classification. After the SVM classification process with a linear kernel, an accuracy of 81% was obtained. For positive sentiment, the precision is 80%, recall 85% and f1-score 82%, for negative sentiment, the precision is 83%, recall 77% and f1-score 80%. From the results of the sentiment analysis, more Indonesians respond positively to lato-lato, which indicates that Indonesians see lato-lato as not a problem and there are many positive benefits from lato-lato.
Co-Authors Erizal, S.Kom., M.Kom. Rahmi Imada, S.Kom., M.Kom.