Electronic Theses and Dissertation

Terminal Batoh merupakan terminal tipe A yang memiliki peran penting dan menjadi simpul transportasi utama yang menghubungkan berbagai moda transportasi di Aceh seperti hiace, l300, Bus antar kota antar provinsi dan Bus trans koetaraja. Perkembangan teknologi dan informasi memberikan pengaruh di bidang transportasi yaitu dengan hadirnya kendaraan online, sehingga pilihan moda yang tersedia bagi masyarakat Banda Aceh untuk mengakses terminal yaitu kendaraan pribadi dan kendaraan online. Kendaraan pribadi memberikan fleksibilitas, privasi, dan kenyamanan, permasalahan yang dihadapi kemacetan, biaya parkir, dan biaya operasional. Kendaraan online yang memberikan akses mudah, waktu cepat, fleksibilitas pembayaran, tanpa tempat parkir, permasalahan yang dihadapi biaya perjalanan yang relatif tinggi. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang dapat mempengaruhi pemilihan moda dan mengetahui utilitas serta probabilitas pemilihan moda antara kendaraan pribadi ataupun kendaraan online. Pengumpulan data dengan penyebaran kuesioner secara langsung kepada masyarakat di Kota Banda Aceh dengan teknik revealed preference. Model pemilihan diskrit dengan analisis regresi logit biner digunakan untuk pengolahan data. Uji kelayakan yang dipakai terdiri dari P-value dan signifikan chi-square. Hasil penelitian didapati faktor – faktor yang mempengaruhi pemilihan moda menuju Terminal Batoh ialah Pekerjaan (X7), kepemilikan sepeda motor (X8), jarak perjalanan (X13) dan biaya perjalanan (X15). Model pemilihan moda kendaraan pribadi menuju Terminal Batoh berupa Ukendaraan Pribadi = 0,996 (X7) + 1,313 (X8) + (-1,238) (X13) + 1,622 (X15). Probabilitas pemilihan moda kendaraan pribadi (sepeda motor) sebesar 91% dan probabilitas pemilihan moda kendaraan online (sepeda motor) sebesar 9%. Maka dapat disimpulkan bahwa probabilitas kendaraan pribadi lebih tinggi daripada kendaraan online disebabkan oleh faktor pekerjaan, masyarakat yang telah memiliki kendaraan pribadi, jarak perjalanan, serta biaya perjalanan.

Kata Kunci : Model Pilihan Moda, Moda menuju Terminal, Revealed preference, Regresi logit biner

Batoh Terminal is a Type A terminal that plays an important role and serves as the main transportation hub connecting various modes of transport in Aceh, such as hiace, l300, intercity and interprovince buses, and Koetaraja Trans buses. The development of technology and information has impacted the transportation sector, particularly with the emergence of online vehicles, thus providing Banda Aceh residents with options to access the terminal using personal vehicles or online transportation services. Personal vehicles offer flexibility, privacy, and comfort but come with issues such as traffic congestion, parking fees, and operational costs. Online vehicles provide easy access, fast travel time, flexible payment options, and no need for parking, though the problem lies in the relatively high travel costs. This study aims to identify the factors that influence mode choice and to understand the utility and probability of choosing between private vehicles and online vehicles. Data was collected through direct distribution of questionnaires to the people of Banda Aceh using the revealed preference technique. A discrete choice model with binary logit regression analysis was used for data processing.. Feasibility tests included P-value and chi-square significance tests. The study found that the factors influencing mode choice to Batoh Terminal were occupation (X7), motorcycle ownership (X8), travel distance (X13), and travel cost (X15). The private vehicle mode choice model for traveling to Batoh Terminal is represented as:U Private Vehicle = 0,996 (X7) + 1,313 (X8) + (-1,238) (X13) +1,622 (X15). The probability of choosing a private vehicle (motorcycle) is 91%, while the probability of choosing an online vehicle (motorcycle) is 9%. It can be concluded that the probability of choosing a private vehicle is higher than that of choosing an online vehicle due to factors such as occupation, ownership of private vehicles, travel distance, having a driving license, and travel costs. Keywords: Mode Choice Model, Mode to Batoh Terminal, Revealed Preference, Binary Logit Regression