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All Journal G-Tech : Jurnal Teknologi Terapan
Michael Michael
Universitas Multimedia Nusantara, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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Measuring Public Sentiment on Electric Cars in Indonesia: A Social Media Data Analysis Michael Michael; Melissa Indah Fianty
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.5405

Abstract

The Industry 4.0 era has driven rapid growth in Indonesia's automotive industry, with increasing environmental awareness fueling demand for eco-friendly vehicles, such as electric cars. In 2023, electric car sales surged by 65%, reaching 17.06 thousand units. However, widespread adoption remains hindered by high costs and limited charging infrastructure. This study aims to analyze Indonesian public sentiment toward electric cars using the Naïve Bayes algorithm. The analysis shows that positive sentiment is dominant, reflecting broad support for this innovation, despite concerns over cost and infrastructure. The Naïve Bayes model achieved an accuracy of 80%, with a precision of 84%, recall of 90%, and an F1-score of 87%. These findings can help the industry devise more effective marketing and educational strategies to encourage the adoption of electric vehicles in Indonesia.
Co-Authors Melissa Indah Fianty