Electronic Theses and Dissertation

Transportasi merupakan kebutuhan penting di wilayah perkotaan Indonesia, termasuk Banda Aceh, di mana pertumbuhan penduduk dan perkembangan teknologi meningkatkan mobilitas, sementara masyarakat khususnya di Kecamatan Jaya Baru masih didominasi menggunakan kendaraan pribadi berbahan bakar fosil karena dinilai lebih nyaman, cepat, dan fleksibel, sehingga memicu kemacetan, kecelakaan, dan peningkatan emisi karbon. Kondisi ini menimbulkan isu lingkungan serius, tercermin dari meningkatnya emisi CO₂ nasional, sehingga kendaraan listrik berbasis baterai diperkenalkan sebagai solusi strategis untuk mengurangi ketergantungan energi fosil dan emisi dari sektor transportasi. Namun, adopsi alat transportasi sangat bergantung pada preferensi masyarakat terhadap biaya, kenyamanan, waktu tempuh, hingga aksesibilitas, dan saat ini kendaraan pribadi masih lebih unggul. Data primer diperoleh melalui penyebaran kuesioner secara langsung (face-to-face) kepada 100 responden yang ditentukan menggunakan rumus Slovin. Metodologi yang digunakan mencakup pendekatan Revealed Preference (RP) untuk melihat perilaku nyata saat ini dan Stated Preference (SP) untuk mengukur respon terhadap hipotesis pengenalan kendaraan listrik. Model analisis yang diterapkan adalah Metode Logit Biner menggunakan Microsoft Excel 2019 dan software StataMP/17. Hasil penelitian menunjukkan bahwa pada data aktual (RP), mayoritas masyarakat sebesar 97% masih sangat bergantung pada kendaraan pribadi. Melalui pemodelan data SP, ditemukan bahwa variabel yang paling dominan memengaruhi minat masyarakat beralih ke kendaraan listrik adalah Pendapatan keluarga perbulan, pernyataan positif bahwa kendaraan listrik adalah kendaraan masa depan. Nilai probabilitas pemilihan moda berdasarkan data SP menunjukkan potensi penggunaan kendaraan listrik sebesar 4% dibandingkan kendaraan pribadi konvensional sebesar 96% di masa depan.

Kata Kunci : mobil listrik, preferensi moda, regresi logit biner, revelead preference, stated prefere

Transportation is an important necessity in urban areas of Indonesia, including Banda Aceh, where population growth and technological development increase mobility, while the community, especially in Jaya Baru District, is still dominated by the use of private vehicles powered by fossil fuels because they are considered more comfortable, faster, and more flexible, resulting in traffic congestion, accidents, and increased carbon emissions. This condition creates serious environmental issues, as reflected in the increase in national CO₂ emissions, therefore battery-based electric vehicles are introduced as a strategic solution to reduce dependence on fossil energy and emissions from the transportation sector. Primary data were obtained through direct (face-to-face) questionnaire distribution to 100 respondents determined using the Slovin formula. The methodology used includes the Revealed Preference (RP) approach to observe current actual behavior and the Stated Preference (SP) approach to measure responses to the hypothetical introduction of electric vehicles. The analytical model applied was the Binary Logit Method using Microsoft Excel 2019 and StataMP/17 software. The results showed that based on actual data (RP), the majority of the community, amounting to 97%, still highly depends on private vehicles. Through SP data modeling, it was found that the variables most dominantly influencing public interest in switching to electric vehicles are age, the type of car to be purchased within the next five years, the reason of lower maintenance costs, and positive perceptions regarding environmentally friendly vehicles. The mode choice probability value based on SP data indicates the potential use of electric vehicles at 4% compared to conventional private vehicles at 96% in the future. Keywords: electric vehicles, mode preference, binary logit regression, revealed preference, and stated preference.