CFP last date
20 August 2024
Call for Paper
September Edition
IJCA solicits high quality original research papers for the upcoming September edition of the journal. The last date of research paper submission is 20 August 2024

Submit your paper
Know more
The week's pick
Responsive image
Implementation of Polynomial Regression using Least Squares and Gradient Descent in Python

Ahmad Farhan AlShammari
Random Articles
Reseach Article

Analysis and Development of Cafe Menu Ordering Application System using Mobile-based Simple Additive Weighting (SAW)

by Sri Uszdevita Syardillah Pohan, Joko Sutopo
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 40
Year of Publication: 2023
Authors: Sri Uszdevita Syardillah Pohan, Joko Sutopo
10.5120/ijca2023923202

Sri Uszdevita Syardillah Pohan, Joko Sutopo . Analysis and Development of Cafe Menu Ordering Application System using Mobile-based Simple Additive Weighting (SAW). International Journal of Computer Applications. 185, 40 ( Nov 2023), 16-23. DOI=10.5120/ijca2023923202

@article{ 10.5120/ijca2023923202,
author = { Sri Uszdevita Syardillah Pohan, Joko Sutopo },
title = { Analysis and Development of Cafe Menu Ordering Application System using Mobile-based Simple Additive Weighting (SAW) },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2023 },
volume = { 185 },
number = { 40 },
month = { Nov },
year = { 2023 },
issn = { 0975-8887 },
pages = { 16-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number40/32951-2023923202/ },
doi = { 10.5120/ijca2023923202 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:28:14.956939+05:30
%A Sri Uszdevita Syardillah Pohan
%A Joko Sutopo
%T Analysis and Development of Cafe Menu Ordering Application System using Mobile-based Simple Additive Weighting (SAW)
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 40
%P 16-23
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cafe is a place that is still visited by many people. The large number of visitors makes it inefficient to order the cafe menu. The current system often forces customers to come directly to the cafe and queue and place orders which can be time-consuming and inconvenient. In addition, many customers may find it difficult to choose a menu that suits their preferences amidst the variety of options available. To overcome these problems, this research aims to present a solution by analyzing and developing a mobile-based application system that uses the Simple Additive Weighting (SAW) method to provide menu recommendations that match user preferences. The SAW method is given a weight on each criterion to calculate the optimal menu recommendation. There are 4 criteria used in this study namely weather, conditions, budget and taste. This mobile-based menu ordering service system is implemented using the Kotlin programming language and database storage media using the MySQL database. The results of the development of this application are expected to increase efficiency, better customer experience, convenience in the menu ordering process and the system can assist in processing cafe data to be more accurate and precise.

References
  1. S. Drobne dan M. Bogataj, “Optimal allocation of public service centres in the central places of functional regions,” IFAC-PapersOnLine, vol. 28, no. 3, hal. 2362–2367, 2015, doi: 10.1016/j.ifacol.2015.06.441.
  2. W. Haoyang, G. Lei, dan J. Ying, “The predicament of clean energy technology promotion in China in the carbon neutrality context: Lessons from China’s environmental regulation policies from the perspective of the evolutionary game theory,” Energy Reports, vol. 8, hal. 4706–4723, Nov 2022, doi: 10.1016/j.egyr.2022.03.142.
  3. G. Ning, “The impact of energy industry structure adjustment on digital media application technology,” Energy Reports, vol. 8, hal. 1463–1471, 2022, doi: 10.1016/j.egyr.2022.02.042.
  4. S. Astuti dan H. Hanan, “The Behaviour of Consumer Society in Consuming Food at Restaurants and Cafes,” Procedia - Soc. Behav. Sci., vol. 42, hal. 429–435, 2012, doi: 10.1016/j.sbspro.2012.04.207.
  5. S. Corrente dan M. Tasiou, “A robust TOPSIS method for decision making problems with hierarchical and non-monotonic criteria,” Expert Syst. Appl., vol. 214, hal. 119045, Mar 2023, doi: 10.1016/j.eswa.2022.119045.
  6. R. Simanaviciene dan L. Ustinovichius, “Sensitivity Analysis for Multiple Criteria Decision Making Methods: TOPSIS and SAW,” Procedia - Soc. Behav. Sci., vol. 2, no. 6, hal. 7743–7744, 2010, doi: 10.1016/j.sbspro.2010.05.207.
  7. R. E. Setyani dan R. Saputra, “Flood-prone Areas Mapping at Semarang City by Using Simple Additive Weighting Method,” Procedia - Soc. Behav. Sci., vol. 227, no. November 2015, hal. 378–386, 2016, doi: 10.1016/j.sbspro.2016.06.089.
  8. C. Gürkut, A. Elçi, dan M. Nat, “An enriched decision-making satisfaction model for student information management systems,” Int. J. Inf. Manag. Data Insights, vol. 3, no. 2, hal. 100195, 2023, doi: 10.1016/j.jjimei.2023.100195.
  9. Y. Irawan, “Decision Support System for Employee Bonus Determination With Web-Based Simple Additive Weighting (SAW) Method in Pt. Mayatama Solusindo,” J. Appl. Eng. Technol. Sci., vol. 2, no. 1, hal. 7–13, 2020, doi: 10.37385/jaets.v2i1.162.
  10. A. Kusumaningrum, A. Ayuningtyas, L. P. Tampubolon, A. Setiawan, H. Sajati, dan M. Irawaty, “Decision Support System for Property Insurance Selection Using Simple Additive Weighting (SAW) Method,” Int. J. Eng. Technol. Nat. Sci., vol. 3, no. 2, hal. 69–73, 2021, [Daring]. Tersedia pada: https://journal.uty.ac.id/index.php/IJETS/article/view/137%0Ahttps://journal.uty.ac.id/index.php/IJETS/article/download/137/85
  11. D. Sartika, L. Novianti, D. Irmawati, dan I. Meiriska, “Android-Base M-Voting Application Development With Simple Additive Weighting Method,” in Proceedings of the 4th Forum in Research, Science, and Technology (FIRST-T1-T2-2020), 2021, hal. 514–522.
  12. W. Chmielarz dan M. Zborowski, “Analysis of e-Banking Websites’ Quality with the Application of the TOPsIs Method - A Practical study,” Procedia Comput. Sci., vol. 126, hal. 1964–1976, 2018, doi: 10.1016/j.procS.2018.07.256.
  13. D. Krupenev, N. Komendantova, D. Boyarkin, dan D. Iakubovskii, “Digital platform of reliability management systems for operation of microgrids,” Energy Reports, vol. 10, hal. 2486–2495, Nov 2023, doi: 10.1016/j.egyr.2023.09.048.
  14. K. Savitha dan D. C. Chandrasekar, “Vertical Handover decision schemes using SAW and WPM for Network selection in Heterogeneous Wireless Networks,” Glob. J. Comput. Sci. Technol., vol. 11, no. 9, hal. 19–24, 2011, [Daring]. Tersedia pada: http://arxiv.org/abs/1106.2402
  15. A. P. Sembiring, Tulus, R. W. Sembiring, dan H. Maulana, “Rule Model With Fuzzy Simple Additive Weighting Approach and Weighted Product On Determination Of Position In High Education Institution,” Int. J. Latest Trends Eng. Technol., vol. 10, no. 1, hal. 54–62, 2018.
  16. C. Calero dkk., “5Ws of Green and Sustainable Software,” Tsinghua Sci. Technol., vol. 25, no. 3, hal. 401–414, Jun 2020, doi: 10.26599/TST.2019.9010006.
  17. A. F. Näher dkk., “Secondary data for global health digitalisation,” Lancet Digit. Heal., vol. 5, no. 2, hal. e93–e101, 2023, doi: 10.1016/S2589-7500(22)00195-9.
  18. M. Hills, P. Klint, dan J. J. Vinju, “Enabling PHP software engineering research in Rascal,” Sci. Comput. Program., vol. 134, hal. 37–46, 2017, doi: 10.1016/j.scico.2016.05.003.
  19. A. Mazuera-Rozo dkk., “Taxonomy of security weaknesses in Java and Kotlin Android apps,” J. Syst. Softw., vol. 187, hal. 111233, Mei 2022, doi: 10.1016/j.jss.2022.111233.
  20. S. Nidhra dan J. Dondeti, “Black Box and White Box Testing Techniques - A Literature Review,” Int. J. Embed. Syst. Appl., vol. 2, no. 2, hal. 29–50, Jun 2012, doi: 10.5121/ijesa.2012.2204.
Index Terms

Computer Science
Information Sciences

Keywords

Cafe Menu Ordering Mobile Simple Additive Weighting (SAW).

Powered by PhDFocusTM