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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Dagha, Willyam Chrisna Umbu
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Analisis Preferensi Mahasiswa di Salatiga Dalam Menentukan Jenis Kendaraan Online Gojek Menggunakan Metode Naïve Bayes Christanto, Henoch Juli; Hiuredhy, Davin Kurnia; Dagha, Willyam Chrisna Umbu; Sutresno, Stephen Aprius; Dewi, Christine
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 3 (2024): JULY-SEPTEMBER 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i3.2200

Abstract

The development of technology in online transportation services like Gojek has a significant impact on meeting the mobility needs of modern society. The city of Salatiga, with many students from outside the island, has a considerable number of individuals without their own vehicles who prefer to use Gojek services. Therefore, research was conducted to analyze the preferences of students in Salatiga in determining the type of Gojek online transportation using the Naïve Bayes method. One hundred questionnaires from Salatiga students were collected, and the results yielded probability values for Gojek service preferences based on a combination of variables such as weather, load, destination, and time. It is evident from the probability values that weather and time variables play a crucial role in influencing users' decisions between using Go-Ride or switching to Go-Car. These results can provide guidance for Gojek in designing service innovations that are more responsive to user needs based on various specific factors.
Co-Authors Christanto, Henoch Juli Christine Dewi Hiuredhy, Davin Kurnia Stephen Aprius Sutresno, Stephen Aprius