Call for Paper - May 2023 Edition
IJCA solicits original research papers for the May 2023 Edition. Last date of manuscript submission is April 20, 2023. Read More

An Android-based Order Placement System for Restaurants

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Tanya Gatitu Munene, Bernard Shibwabo Kasamani

Tanya Gatitu Munene and Bernard Shibwabo Kasamani. An Android-based Order Placement System for Restaurants. International Journal of Computer Applications 180(21):18-24, February 2018. BibTeX

	author = {Tanya Gatitu Munene and Bernard Shibwabo Kasamani},
	title = {An Android-based Order Placement System for Restaurants},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2018},
	volume = {180},
	number = {21},
	month = {Feb},
	year = {2018},
	issn = {0975-8887},
	pages = {18-24},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2018916496},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Mobile based transactions are among some of the fastest growing areas in Information Technology today. The growth introduces diverse opportunities more particularly in supply and distribution of goods and services under the wider umbrella of m-commerce since many consumers would benefit by having a means of making orders using their mobile devices. A major common problem facing typical ordering systems in restaurants is that customers queue for long hours in restaurants or wait for a long time so that their food can be prepared. In order to solve this problem, a solution that is used for food ordering has been developed and it makes the process of placing orders more efficient for customers, restaurant managers and chefs. The development applied an Object-Oriented Analysis and Design. Through using this solution, it has been found that customers and restaurant operators can benefit from a seamless ecosystem concerning the processing of orders to restaurants. The time taken to place and process orders has been significantly reduced.


  1. Edje, A. and Ekabua, O. 2017. “Restaurant Customer Self-Ordering System: A Solution to Reduce Customer/Guest Waiting Time at the Point of Sale”, International Journal of Computer Applications.
  2. Anon (2017). An Exploratory Study on Kenyan Consumer Ordering Habits. Retrieved October 27, 2017, from iHub web site:
  3. Hong, L. (2016). Retrieved October 27, 2017, from Utar web site:
  4. Internet World Stats. 2013. Mobile Internet - Mobile Phones. Retrieved July 18, 2013, from Internet World Stats Web Site:
  5. T. Phillips, P. L. (2011). Driving Economic and Social Development through Mobile Services. London: GSM Association.
  6. Raut, K. and Dhonde, M. 2017. “Android Based Intelligent E-Restaurant Ordering System” International Education and Research Journal.
  7. DeMicco, F., Cobanoglu, C., Dunbar, J., Grimes, R. and Keiser, J. (2015). Restaurant Management: A Best Practices Approach. Retrieved October 27, 2017, from kendallhunt web site:
  8. Ambier, S. (2014). The Agile System Development Life Cycle (SDLC). [online] Retrieved October 27, 2017, from ambysoft web site:


Mobile Transactions, Order Processing, Restaurant orders, m-commerce.