Articles

Public Sentiment Toward Electric Vehicle Adoption: A Case Study of Semarang, Indonesia

/0 Comments/in /by

The growth of Indonesia’s population has led to a significant increase in vehicle volume, contributing substantially to CO2 emissions and air pollution. Central Java Province ranks third nationally in vehicle numbers, with Semarang City recorded as having the highest air pollution level in Indonesia, reaching an air quality index (AQI) score of 107 in March 2024. One of the strategies to mitigate this pollution is the transition from conventional vehicles to electric vehicles (EVs). However, this transformation requires an understanding of public perception and readiness. This study aims to analyze public sentiment toward the transformation of electric vehicles in Semarang City using sentiment analysis based on the Indonesian RoBERTa model. Data was collected using an online questionnaire distributed to 1,025 respondents aged 17 years or above. Respondents answered questions covering three aspects: (Q1) perception of EV quality as a personal vehicle, (Q2) perception of the government’s role in policy and infrastructure, and (Q3) perception of the EV transformation process in Semarang City. The results indicate that positive sentiment dominates only in Q1 (49.95%), reflecting public confidence in EV quality for personal use. Besides, Q2 and Q3 are dominated by neutral sentiment (41.5% and 52%, respectively), with Q2 even showing a higher percentage of negative sentiment (33.8%) than positive sentiment (24.7%), indicating dissatisfaction with current government policy and infrastructure support. These findings suggest that although Semarang City has strong potential for EV transformation, government policies and supporting infrastructure, such as public EV charging stations (SPKLU), need substantial improvement to accelerate public adoption and strengthen positive sentiment toward electric vehicles.

Hazardous Effects of Battery Waste and Role of the Battery Waste Management Rule 2022 in Enhancing Energy Efficiency

/in /by

Replacing batteries in present world is challenging because they are extensively utilised in every facet of human existence. These batteries contain a variety of toxic heavy metals, including as cadmium, copper, lead, mercury, nickel, and zinc, all of which pose risks to human health and the environment. Improperly disposing of used batteries in landfills leads to the infiltration of toxic heavy metals and other dangerous compounds into the soil and water over time. India’s long-term development has significant challenges in both reducing CO2 emissions and meeting the energy demands of its large population. This has significantly bolstered the electric vehicle (EV) and renewable energy industries. Battery-based energy storage systems can enhance the management of operational and energy evacuation challenges associated with renewable energy. Consequently, the effective disposal of battery waste is more crucial than battery production. However, it is neglected often, specially in developing and impoverished nations. Three established methods exist for preventing and managing the issues arising from the inappropriate disposal of used batteries. The three R’s are: decrease, replenish, and reuse. This article initially analyses the health and environmental consequences of battery waste, and subsequently highlights the potential of new regulations on battery waste management to effectively handle huge amounts of battery waste and encourage energy conservation.

Analysis of Electric Vehicle Purchase Intentions in Indonesia Using the Extension C-TAM-TPB Model

/in /by

The success of electric vehicles is influenced by how they are accepted and adopted by society. Identifying driving factors can help stakeholders take appropriate steps to drive Electric Vehicle Purchase Intentions. This study examined the driving variables of EV Purchase Intention using the C-TAM-TPB model approach and six extension variables in an emerging market context. This research is quantitative research. Data were collected from a questionnaire distributed to 385 people using a purposive sampling technique. PLS is used in the data analysis technique. Based on the research results, Perceived Usefulness and Perceived Ease of Use significantly and positively affects Attitudes Toward EV. Furthermore, Attitude Toward EVs, Price Value, and Cognitive Status significantly and positively affect EV Purchase Intention. Meanwhile, the Infrastructure Barrier significantly and negatively affect EV Purchase Intention. Meanwhile, Incentive Policy Perception, Functional Value, and Perceived Risk have no significant effect on EV Purchase Intention.