LOW-COST RASPBERRY-BASED MOBILE PAYMENT SYSTEM FOR CASHLESS TRANSACTION IN GASOLINE STATION

Rahmat Septian Wijanarko
Meredita Susanty

Abstract


To embrace the cashless future, PT PERTAMINA collaborate with various banks and LinkAja!, one of e-finance services in Indonesia, to accept cashless payment using QR code technology using mobile application. The cashless payment now accepted in both conventional gas station and self-service gas station. However, at a self-service gas station, customers generally make payments before refueling to an operator located in the control post (before the dispenser area/refueling area). It requires the customer to return to the operator in order to request the change when they stop refueling before reaching the requested volume. This research proposes some modifications toward the fuel dispenser so that the dispenser is able to accept cashless payment, provide correct amount of fuel, and guarantee payment for each transaction even when there are no operators around. The implementation of this prototype improves service at gas station by reducing queue time about three to seven second per vehicle, improve company efficiency by reducing the number of operators in gas station from one operator per dispenser to one operator per station, also, it removes the balancing process performed by the operator at the end of the shift. Sales reports are generated automatically in near real-time.


Keywords


cashless transaction; payment system; raspberry; gasoline station; mobile application.

Teks Lengkap:

PDF

Referensi


“Pertamina Annual Report,” Jakarta, 2016.

“Pertamina Retail Annual Report,” Jakarta, 2016.

“MyPertamina – PT. Pertamina (Persero).” [Online]. Available: https://www.mypertamina.id/. [Accessed: 19-May-2019].

“LinkAja | Lebih Lancar, Lebih Seru, dan Bebas Repot #BeresTanpaCash.” [Online]. Available: https://www.linkaja.id/. [Accessed: 19-May-2019].

Sylke Febrina Laucereno, “LinkAja bakal Bisa Dipakai Bayar Tol dan Beli Bensin,” 2019. [Online]. Available: https://finance.detik.com/fintech/d-4503155/linkaja-bakal-bisa-dipakai-bayar-tol-dan-beli-bensin. [Accessed: 19-May-2019].

N. Kshetri, S. A. Kshetri, and S. Acharya, “Mobile Payment in Emerging Markets,” IEEE IT Prof., vol. 14, no. 4, pp. 9–14, 2012.

N. Murthy and D. Chahar, “M-COMMERCE: SECURITY CHALLENGES ISSUES AND RECOMMENDED SECURE PAYMENT METHOD,” Int. J. Manag. IT Eng., vol. 2, no. 8, pp. 374–393, 2012.

“Digitalisasi SPBU,” 2019. [Online]. Available: https://epaper.pertamina.com/energia/13-mei-2019/btp-corner/digitalisasi-spbu. [Accessed: 19-May-2019].

Accenture, “Digital Payments Transformation,” p. 32, 2013.

J. T. Isaac and S. Zeadally, “Secure mobile payment systems,” IT Prof., vol. 16, no. 3, pp. 36–43, 2014.

B. Singh and J. K.S., “Comparative Study on Various Methods and Types of Mobile Payment System,” in 2012 International Conference on Advances in Mobile Network, Communication and Its Applications, 2012, pp. 143–148.

Xiaolin Zheng and Deren Chen, “Study of mobile payments system,” in IEEE International Conference on E-Commerce, 2003. CEC 2003., 2003, pp. 24–27.

Weidong Guo, “Design of architecture for mobile payments system,” in 2008 Chinese Control and Decision Conference, 2008, pp. 1732–1735.

E. Ramezani, “Mobile Payment,” 2008. [Online]. Available: https://www.coursehero.com/file/20795219/mobile-payment-Ramezani/. [Accessed: 19-May-2019].

I. Sommerville, Software Engineering Tenth Edition. Pearson, 2016.

Huu-Quoc Nguyen, Ton Thi Kim Loan, Bui Dinh Mao, and Eui-Nam Huh, “Low cost real-time system monitoring using Raspberry Pi,” in 2015 Seventh International Conference on Ubiquitous and Future Networks, 2015, pp. 857–859.

P. A. Shinde and Y. B. Mane, “Advanced vehicle monitoring and tracking system based on Raspberry Pi,” in 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO), 2015, pp. 1–6.

I. Iszaidy, R. Ngadiran, R. B. Ahmad, M. I. Jais, and D. Shuhaizar, “Implementation of raspberry Pi for vehicle tracking and travel time information system: A survey,” in 2016 International Conference on Robotics, Automation and Sciences (ICORAS), 2016, pp. 1–4.

F. Jabeen, B. Ramamurthy, and N. A. Latha, “Development and implementation using Arduino and Raspberry Pi based Ignition control system,” 2017.

H. K. Merchant and D. D. Ahire, “Industrial Automation using IoT with Raspberry Pi,” 2017.

C. Athavale, S. Shinde, A. Rajemane, N. Mohite, and A. Professor, “Raspberry Pi Based Smart Toll Collection System,” Int. Res. J. Eng. Technol., vol. 4, no. 5, 2017.

A. Khamankar, A. Phirke, K. Shah, and D. Rangare, “Review On Portable Voice Communication System In Raspberry PI,” Int. Res. J. Eng. Technol., vol. 4, no. 2, 2017.

S. Jana, S. Borkar, and M. Student, “Autonomous Object Detection and Tracking using Raspberry Pi.” 2017.

Adam Hayes, “Benefit-Cost Ratio - BCR Definition,” 2019. [Online]. Available: https://www.investopedia.com/terms/b/bcr.asp. [Accessed: 19-May-2019].

“Digital Payment Transformation.” Bank Indonesia.

“Retail Payments in Indonesia,” 2017.




DOI: https://doi.org/10.24176/simet.v10i2.3419

Article Metrics

Abstract views : 16| PDF views : 1

Refbacks

  • Saat ini tidak ada refbacks.


free hit counter View My Stats

Indexed by:

 

Flag Counter

Creative Commons License
Simetris : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer is licensed under a Creative Commons Attribution 4.0 International License.

Dedicated to: