Abstract :
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.
Keywords :
Air pollution, air quality index, Electric Vehicle, RoBERTa, Sentiment analysisReferences :
- Abdal, M. N., Oshie, M. H. K., Haue, M. A., & Islam, K. (2023, December). A transformer-based model for Twitter sentiment analysis using RoBERTa. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.
- Amelia, E. E., & Yustiana, I. (2024). Analisis Sentimen Pada Ulasan Produk UNIQLO dengan Algoritma Naive Bayes. J-SAKTI (Jurnal Sains Komputer dan Informatika), 8(1), 141-148.
- Ananta, A., Hidayat, D. A., Al Husni, D. E., Ramadhan, I. F., Triyono, I., Al Qossam, I., & Rohmah, R. D. (2024). Peningkatan Kesadaran dalam Penggunaan Kendaraan Listrik di Lingkungan Universitas Negeri Semarang Melalui Kampanye Energi Bersih. Jurnal Angka, 1(1), 120-134.
- Aprillia, I. S., Sugara, M. V. L., Kheista, K., Rhemrev, E. A., Sari, E. K., & Christie, M. (2024). Kebijakan Mobil Listrik di Indonesia: Tantangan dan Peluang dalam Mewujudkan Mobilitas Ramah Lingkungan. Jurnal Pendidikan Sejarah dan Riset Sosial Humaniora, 4(3), 391-401.
- Aryanti, T. N. P., & Aulia, S. S. (2024). Analisis Kebijakan Suroboyo Bus Dalam Perspektif Problem Tree Analysis. Jurnal Media Akademik (JMA), 2(5).
- Atthariq, A. J., Puspitasari, D., Panjaitan, R., & Anomsari, A. (2024). Pengaruh Persepsi Harga, Peran Insentif Pemerintah, Dan Ketersedian Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) Terhadap Keputusan Pembelian Kendaraan Listrik Kota Semarang. Dinamika: Jurnal Manajemen Sosial Ekonomi, 4(2), 09-23.
- Bucur, C., Tudorica, B., Andrei, J. V., Dusmanescu, D., Paraschiv, D., & Teodor, C. (2024). Sentiment analysis of global news on environmental issues: insights into public perception and its impact on low-carbon economy transition. Frontiers in Environmental Science, 12, 1360304.
- Claudia, C. (2026). Analisis RoBERTa terhadap Pergeseran Semantik dalam Ulasan Sastra Lintas Modalitas Teks dan Video: Roberta Analysis on The Semantic Drift in Book Reviews Across Textual and Video Modalities. Jurnal Inovasi Informatika, 8(1), 1-8.
- Hixson, M., Mahmud, A., Hu, J., Bai, S., Niemeier, D. A., Handy, S. L., & Kleeman, M. J. (2010). Influence of regional development policies and clean technology adoption on future air pollution exposure. Atmospheric Environment, 44(4), 552-562.
- Ismiyati, I., Marlita, D., & Saidah, D. (2014). Pencemaran udara akibat emisi gas buang kendaraan bermotor. Jurnal Manajemen Transportasi & Logistik (JMTransLog), 1(3), 241-248.
- Jhosefhin, N. V. R., & Dewi, C. (2025). Analisis Sentimen Crawling Data dari Sosial Media X tentang Gaza Menggunakan Metode SVM dan Decision Tree. Jurnal Indonesia: Manajemen Informatika dan Komunikasi, 6(1), 427-437.
- Karimah, A., Dwilestari, G., & Mulyawan, M. (2024). Analisis Sentimen Komentar Video Mobil Listrik di Platform Youtube Dengan Metode Naive Bayes. JATI (Jurnal Mahasiswa Teknik Informatika), 8(1), 767-737.
- Kumar, P. G., Lekhana, P., Tejaswi, M., & Chandrakala, S. J. M. T. P. (2021). Effects of vehicular emissions on the urban environment-a state of the art. Materials Today: Proceedings, 45, 6314-6320.
- Liponhay, M. P., Valerio, A. V., & Monterola, C. P. (2024). Time-delayed causal network analysis of meteorological variables and air pollutants in Baguio city. Atmospheric Pollution Research, 15(6), 102095.
- Masdiyasa, I. G. S., Daniswara, D. D., & Damaliana, A. T. (2024). Pengukuran Indeks Standar Pencemaran Udara Menggunakan Support Vector Machine. Jurnal Penelitian, 9(1), 62-69.
- Najibulloh, I. K., Tahyudin, I., & Saputra, D. I. S. (2025). Analisis Sentimen Ulasan Co-Pilot Google Play dengan SVM, Neural Network, dan Decision Tree. Edumatic: Jurnal Pendidikan Informatika, 9(1), 275-283.
- Nur, A. I., & Kurniawan, A. D. (2021). Proyeksi masa depan kendaraan listrik di Indonesia: analisis perspektif regulasi dan pengendalian dampak perubahan iklim yang berkelanjutan. Jurnal Hukum Lingkungan Indonesia, 7(2), 197-220
- Nur, M. A., Umar, N., Feng, Z., & Gani, H. (2025). Evaluation of IndoBERT and RoBERTa: Performance of Indonesian Language Transformer Models in Sentiment Classification. JIKO (Jurnal Informatika dan Komputer), 8(2), 121-127.
- Odilov, O., Rapiqjonov, R., & Sheraliyev, D. A. Exhaust Gases Emitted by Automobiles AND Their Impact on the Environment. (2025). Modern American Journal of Engineering, Technology, and Innovation, 1(2), 11-16.
- Pan, S., Xu, Y., Li, Z., Fulton, L. M., & Gao, H. O. (2026). Future changes in CO2 emissions in the shift to electric mobility in countries with varied levels of zero-emission vehicle policies. Resources, Environment and Sustainability, 100316.
- Priscillia, I., Z., & Habibie, D., K. (2023). Peran Perusahaan Listrik Negara Sebagai Penyedia Fasilitas Dalam Rangka Penggunaan Kendaraan Bermotor Berbasis Listrik di Kota Pekanbaru. MOTEKAR: Jurnal Multidisiplin Teknologi dan Arsitektur, 1(2), 192-200.
- Pusung, E. M., & Dewi, I. N. (2024). Optimasi RoBERTa dengan Hyperparameter Tuning untuk Deteksi Emosi berbasis Teks. Jurnal Nasional Teknologi dan Sistem Informasi, 10(3), 240-248.
- Sejati, W., Bist, A. , & Tambunan, A. (2023). Pengembangan analisis sentimen dalam rekayasa software engineering menggunakan tinjauan literatur sistematis. Jurnal MENTARI: Manajemen Pendidikan dan Teknologi Informasi, 2(1), 95-103. https://doi.org/10.33050/mentari.v2i1.377
- Sugiarti, I., Safitri, I. N., Hapsari, D., & Hutajulu, D. M. (2024). Degradasi Lingkungan Terhadap Pertumbuhan Ekonomi di 5 Provinsi Pulau Jawa Tahun 2012-2021. Cakrawala: Jurnal Pengabdian Masyarakat Global, 3(3), 265-283.
- Yadalam, P. K., Thaha, M., Natarajan, P. M., & Ardila, C. M. (2025). An explainable RoBERTa approach to analyzing panic and anxiety sentiment in oral health education YouTube comments. Scientific Reports, 15(1), 21737.
- Zola, G., Nugraheni, S. D., Rosiana, A. A., Pambudy, D. A., & Agustanta, N. (2023). Inovasi Kendaraan Listrik Sebagai Upaya Meningkatkan Kelestarian Lingkungan dan Mendorong Pertumbuhan Ekonomi Hijau di Indonesia. e-Jurnal Ekonomi Sumberdaya dan Lingkungan, 12(3), 159-170.

