Mobile School Canteen Food Ordering System

  • Masurah Mohamad

Abstract

Food ordering has been familiar nowadays. Everyone is very
concerned about time and the necessities of life such as food. The food
ordering application helps people to get their food easily and save lots
of time. Most of the existing food ordering applications only focused on
registered restaurants or food providers based on the specific location.
However, there is no special food ordering application that focused on
food ordering for school students and canteen food provider in
Malaysia. Even though many food ordering applications are available
to be used, the most apparent drawback to food ordering applications
is that students are unable to use them during breaks at the school.
Due to this problem, a mobile application named as Mobile School
Canteen Food Ordering System is proposed as an alternative to the
school students in selecting and ordering the food offered by the school
canteen food provider. In addition, with the implementation of
collaborative filtering technique, this system offered one additional
function that will recommend the user on healthy meal that the children
should consume according to the provided criteria such as foods that
contain allergens. This project will benefit many students especially in
primary schools whereas 75% of the respondents have agreed that the
system is effective in choosing foods easily, facilitate and save their
time to get food during breaks.

References

[1] R. B. Kale, R. K. Balwade, and V. B. Gawai, “Online Food Ordering System for College
Canteen,” SAMRIDDHI A J. Phys. Sci. Eng. Technol., vol. 12, no. SUP 2, pp. 64–68, 2020.
[2] V. T. Nga et al., “School education and childhood obesity: A systemic review,” Diabetes &
Metab. Syndr. Clin. Res. & Rev., vol. 13, no. 4, pp. 2495–2501, 2019.
[3] L. Meeussen and C. Van Laar, “Feeling pressure to be a perfect mother relates to parental
burnout and career ambitions,” Front. Psychol., vol. 9, p. 2113, 2018.
[4] T. Jung, J. Huang, L. Eagan, and D. Oldenburg, “Influence of school-based nutrition education
program on healthy eating literacy and healthy food choice among primary school children,”
Int. J. Heal. Promot. Educ., vol. 57, no. 2, pp. 67–81, 2019.
[5] D. A. Guitart, C. M. Pickering, and J. A. Byrne, “Color me healthy: Food diversity in school
community gardens in two rapidly urbanising Australian cities,” Heal. \& place, vol. 26, pp.
110–117, 2014.
[6] A. P. Kapoor and M. Vij, “Technology at the dinner table: Ordering food online through mobile
apps,” J. Retail. Consum. Serv., vol. 43, pp. 342–351, 2018.
[7] R. Y. Toledo, A. A. Alzahrani, and L. Martinez, “A food recommender system considering
nutritional information and user preferences,” IEEE Access, vol. 7, pp. 96695–96711, 2019.
[8] X. Cai, Z. Hu, P. Zhao, W. Zhang, and J. Chen, “A hybrid recommendation system with manyobjective
evolutionary algorithm,” Expert Syst. Appl., vol. 159, p. 113648, 2020.
[9] W. Nguyen, “A Literature Review of Collaborative Filtering Recommendation System using
Matrix Factorization algorithms,” 2021.
[10] Y. Du, N. Sutton-Charani, S. Ranwez, and V. Ranwez, “EBCR: Empirical Bayes concordance
ratio method to improve similarity measurement in memory-based collaborative filtering,” PLoS
One, vol. 16, no. 8, p. e0255929, 2021.
[11] Y. Dou, H. Yang, and X. Deng, “A survey of collaborative filtering algorithms for social
recommender systems,” in 2016 12th International conference on semantics, knowledge and
grids (SKG), 2016, pp. 40–46.
[12] C. Feng, J. Liang, P. Song, and Z. Wang, “A fusion collaborative filtering method for sparse
data in recommender systems,” Inf. Sci. (Ny)., vol. 521, pp. 365–379, 2020.
[13] G. K. Jha, M. Gaur, P. Ranjan, and H. K. Thakur, “A survey on trustworthy model of
recommender system,” Int. J. Syst. Assur. Eng. Manag., pp. 1–18, 2021.
[14] Y. Afoudi, M. Lazaar, and M. Al Achhab, “Hybrid recommendation system combined contentbased
filtering and collaborative prediction using artificial neural network,” Simul. Model. Pract.
Theory, vol. 113, p. 102375, 2021.
[15] R. Scroggins, “SDLC and Development Methodologies,” Glob. J. Comput. Sci. Technol. C
Softw. Data Eng., vol. 14, no. 7, pp. 0–2, 2014.
Published
2021-11-16
How to Cite
MOHAMAD, Masurah. Mobile School Canteen Food Ordering System. Mathematical Sciences and Informatics Journal, [S.l.], p. 102-110, nov. 2021. ISSN 2735-0703. Available at: <https://myjms.mohe.gov.my/index.php/mij/article/view/16142>. Date accessed: 07 dec. 2022. doi: https://doi.org/10.24191/mij.v2i2.16142.
Section
Articles

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.