Sentiment Analysis about Electric Motorbikes in Indonesia Using Twitter Data

Irawati, Desrina Yusi and Bellanov, Agrienta and Damayanti, Florencia Agatha (2024) Sentiment Analysis about Electric Motorbikes in Indonesia Using Twitter Data. Spektrum Industri, 22 (1). pp. 25-35. ISSN P:1693-6590 E:2442-2630

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Abstract

Along with the rapid development of technology, various types of
transportation have experienced increased innovation in shapes, colours,
models, and even engines. However, one thing that needs special attention
is the number of pollutants or emissions released by vehicles. One effort to
reduce emissions is increasing the production of Battery-Based Electric
Motorized Vehicles. Battery-based electric vehicles developed in
Indonesia include electric cars and electric motorcycles. Among these
types of electric vehicles, Indonesian society widely adopts electric
motorcycles. However, sales of electric motorbikes were only 15 thousand
units, lower than sales of petrol motorbikes which reached 5 million units.
This study contributes to understanding further how the community
responds to electric motorcycles in detail through sentiment analysis on
social media data. Consumer acceptance of electric motorcycles can be
seen from the numerous active Twitter users in Indonesia who provide
positive and negative comments on the presence of electric motorcycles.
Text information based on public comments in Indonesia via Twitter is
collected using Sentiment Analysis in R Studio. Twitter comments will be
classified into positive, negative, and neutral groups. The results show 63%
positive, 21% unfavourable, and 14% neutral opinions. This condition
means that Indonesian society accepts and has a supportive opinion of the
presence of electric motorcycles. The government and entrepreneurs can
use this information to create electric motorcycles that align with the
community's preferences.

Item Type:	Article
Uncontrolled Keywords:	Electric motorcycles, Sentiment analysis, Twitter
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management L Education > L Education (General)
Divisions:	Fakultas Teknik > Prodi Teknik Industri
Depositing User:	Agrienta Bellanov
Date Deposited:	04 Sep 2025 05:57
Last Modified:	04 Sep 2025 05:57
URI:	https://repositori.ukdc.ac.id/id/eprint/2441

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