Spring Bed Mattress Recommendation System Using Simple Additive Weighting Method

Rofi Aditya, Wirawan Istiono

Abstract


The spring bed mattress is a bed facility that can provide comfort for its users and is one of the board's needs. Spring beds are available in a wide selection of product variations from different brands of spring bed mattresses. People often feel confused when they have to choose a spring bed mattress that suits their needs, and this is because spring bed mattresses have many variations in sizes and models, the prices of various spring beds, guarantees, and different types of springs or springs used. The demands of work and the busyness of society today make many people unable to choose and see the spring bed that suits their needs in the store directly. Therefore, this system was created as a recommendation system for people to choose a spring bed mattress that suits their needs and buy mattresses online based on community preference criteria. The recommendations given by this system are obtained from calculations using the simple additive weighting method or known as the weighted addition method. This simple additive weighting method has been tested in this research and can be implemented correctly and as needed. Based on the results of the trials that have been carried out, the user satisfaction test was found to be 88.67% concerning the end-user computing satisfaction (EUCS) model, so that the recommendation system that has been successfully built can be said to be very good for users in providing recommendations for spring bed mattresses.

Full Text:

PDF

References


G. Caggiari, G. R. Talesa, G. Toro, E. Jannelli, G. Monteleone, and L. Puddu, “What type of mattress should be chosen to avoid back pain and improve sleep quality? Review of the literature,” Journal of Orthopaedics and Traumatology, vol. 22, no. 1, 2021, doi: 10.1186/s10195-021-00616-5.

Y. X. Chen, Y. Guo, L. M. Shen, and S. Q. Liu, “The quantitative effects of mattress and sleep postures on sleep quality,” International Asia Conference on Industrial Engineering and Management Innovation: Core Areas of Industrial Engineering, IEMI 2012 - Proceedings, no. September 2017, pp. 107–115, 2013, doi: 10.1007/978-3-642-38445-5_11.

I. Siregar, R. Ginting, and F. Agnesia, “Redesign Spring Bed Based on the Needs of Consumers,” MATEC Web of Conferences, vol. 104, pp. 1–6, 2017, doi: 10.1051/matecconf/201710403003.

J. Suharyadi and A. Kusnadi, “Design and Development of Job Recommendation System Based On Two Dominants On Psychotest Results Using KNN Algorithm,” International Journal of New Media Technology, vol. 5, no. 2, pp. 116–120, 2019, doi: 10.31937/ijnmt.v5i2.954.

D. Meidelfi, Yulherniwati, F. Sukma, D. Chandra, and A. H. Soleliza Jones, “The implementation of SAW and BORDA method to determine the eligibility of students’ final project topic,” International Journal on Informatics Visualization, vol. 5, no. 2, pp. 144–149, 2021, doi: 10.30630/joiv.5.1.447.

I. Kaliszewski and D. Podkopaev, “Simple additive weighting - A metamodel for multiple criteria decision analysis methods,” Expert Systems with Applications, vol. 54, pp. 155–161, 2016, doi: 10.1016/j.eswa.2016.01.042.

N. Vafaei, R. A. Ribeiro, and L. M. Camarinha-Matos, “Assessing Normalization Techniques for Simple Additive Weighting Method,” Procedia Computer Science, vol. 199, pp. 1229–1236, 2021, doi: 10.1016/j.procs.2022.01.156.

M. Michael and W. Winarno, “Design and Development of Computer Specification Recommendation System Based on User Budget With Genetic Algorithm,” International Journal of New Media Technology, vol. 5, no. 1, pp. 25–29, 2018, doi: 10.31937/ijnmt.v5i1.814.

D. Wira Trise Putra and A. Agustian Punggara, “Comparison Analysis of Simple Additive Weighting (SAW) and Weigthed Product (WP) in Decision Support Systems,” MATEC Web of Conferences, vol. 215, pp. 1–5, 2018, doi: 10.1051/matecconf/201821501003.

N. Setiawan et al., “Simple additive weighting as decision support system for determining employees salary,” International Journal of Engineering and Technology(UAE), vol. 7, no. 2.14 Special Issue 14, pp. 309–313, 2018.

Adriyendi, “Multi-Attribute Decision Making Using Simple Additive Weighting and Weighted Product in Food Choice,” International Journal of Information Engineering and Electronic Business, vol. 7, no. 6, pp. 8–14, 2015, doi: 10.5815/ijieeb.2015.06.02.

L. C. Chen and D. N. Utama, “Decision Support Model for Determining the Best Employee using Fuzzy Logic and Simple Additive Weighting,” Journal of Computer Science, vol. 18, no. 6, pp. 530–539, 2022, doi: 10.3844/jcssp.2022.530.539.

A. Alinezhad, A. Amini, and A. Alinezhad, “Sensitivity analysis of simple additive weighting method (SAW): the results of change in the weight of one attribute on the final ranking of alternatives,” Journal of Industrial Engineering, vol. 4, pp. 13–18, 2009.

D. Kalibatas and V. Kovaitis, “Selecting the most effective alternative of waterproofing membranes for multifunctional inverted flat roofs,” Journal of Civil Engineering and Management, vol. 23, no. 5, pp. 650–660, 2017, doi: 10.3846/13923730.2016.1250808.

F. Haswan, “Application of Simple Additive Weighting Method to Determine Outstanding School Principals,” SinkrOn, vol. 3, no. 2, p. 186, 2019, doi: 10.33395/sinkron.v3i2.10082.

R. Meri, “Simple Additive Weighting (SAW) Method on The Selection of New Teacher Candidates at Integrated Islamic Elementary School,” IJISTECH (International Journal of Information System & Technology, vol. 4, no. 1, pp. 428–435, 2020


Refbacks

  • There are currently no refbacks.


Abava  Absolutech Convergent 2022

ISSN: 2307-8162