Big Data and Artificial Intelligence for E-TOLL
Ayu Ratna Lalitya Sudjana1, Elizabeth Husin2
1Ayu Ratna Lalitya Sudjana, Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia, Jakarta, Indonesia.
2Elizabeth Husin, Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 2293-2295 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5806018520/2020©BEIESP | DOI: 10.35940/ijrte.E5806.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Commuting in Indonesia, an archipelago country, with its geographic location is quite challenging especially when the infrastructure is not well developed in many suburban areas. Land commuter will have to take the toll road to travel to different areas and it requires e-toll card with enough balance to pay. Mostly, problem occurs when the e-toll card is out of balance while the commuters are still in the middle of the toll road and the e-toll machine is not facilitated to offer top up feature where usually the commuter need to wait and borrow the e-toll card from the next commuter to pay at the toll gate and still more. Therefore, this paper will discuss more on the research to solve this problem. The goal of this research is to utilize Big Data and Artificial Intelligent to facilitate the E-Toll system in Indonesia to become better and hopefully keep improving the e-toll service to all land commuters. With the utilization of Artificial Intelligent ability to do the work and modelling human thought process and Big Data with a diversity of high data sources, it needs to be managed by many methods and assistive devices with an appropriate performance. In addition, it aims to determine the constraints that commuters feel while using automated toll gates especially in suburban areas of Indonesia. Methods of research using Systematic Literature Review (SLR). The results of the research will show the ability of these two things in updating the E-Toll system before into a better version continuously.
Keywords: Big Data, Artificial Intelligent, E-Toll..
Scope of the Article: Big Data.