Analisis Opini Masyarakat Terhadap Jasa Transportasi Online Menggunakan Text Mining Classification
DOI:
https://doi.org/10.58369/biit.v3i2.117Keywords:
Opini , Analisis , Masyarakat , Jasa ,Transportasi Online.Abstract
The rapid development of communication technology has brought about social changes in society. Many businesses have emerged by taking advantage of this development, one of which is the emergence of online motorcycle taxi services. The presence of Ojek Online has provided solutions and addressed various concerns of the public regarding public transportation services. Traffic congestion in the capital city and public safety concerns regarding public transportation have been addressed by the emergence of Ojek Online, which offers convenience and comfort to its users. The presence of Ojek Online, which applies appropriate communication technology at a time when the public needs safe transportation and can serve as a solution during traffic congestion, is the focus of this study, which is considered necessary to be constructed in this research. Moreover, the integration of transportation services with the sophistication of Internet technology has made it easier for the public to make bookings, know transportation rates, destination locations, and identify drivers, which is a new innovation in the transportation business world.
By using the Innovation Diffusion Theory and a heuristic qualitative research approach on two of the largest online motorcycle taxi service providers in Indonesia, namely Grab Bike and PT Gojek Indonesia, this study provides an in-depth, comprehensive, and holistic understanding of the development of appropriate communication technology. The findings of this study will contribute concepts, particularly in the application of appropriate communication technology innovations that can bring about changes in the social system of society.
References
T.D.T Utami1, D.Hartama2, A.P. Windarto3 and Solikhun4, “Analisis Tingkat Kepuasan Pelanggan Terhadap Penjualan Air Minum Isi Ulang Dengan Menggunakan Metode Rough Set,” vol 1, no. 1,2016
D, Nofriansyah and G. W. Nurcahyo, Algoritma Data Mining Dan Pengujiannya, 2017
E, Prasetyo, Data Mining Konsep dan Aplikasi Menggunakan Matlah, Yogyakaerta; CV. Andi Offset, 2012
Kusrini and E.T. Luthfi, Algoritma Data Mining, 2009
B. S. D. Oetomo, Perencanaan dan Pengembangan Sistem Informasi, Yogyakarta; CV. Andi Offset, 2002
A. Preantoko, Jago Microsoft Excel 2010, Jakarta; Kawan Pustaka, 2010
D.A.C.D.A. Baskoro, I, Ambarwati and I. W. S. Wicaksana, Belajar Data Mining Dengan Rapid Minet, 2013.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).