Sistem pendukung keputusan pemilihan smartphone tahun 2022 menggunakan metode simple additive weighting berbasis MATLAB

Juyus Muhammad Adinulhaq(1*), Akhmad Fathurohman(2), Safuan Safuan(3)


(1) Program Studi S1 Informatika Universitas Muhammadiyah Semarang
(2) Program Studi S1 Informatika Universitas Muhammadiyah Semarang
(3) Program Studi S1 Informatika Universitas Muhammadiyah Semarang
(*) Corresponding Author

Abstract


This research develops a decision support system using the Simple Additive Weighting (SAW) method based on MATLAB to choose a smartphone in 2022. Based on the specified criteria and data, the best smartphone that managed to get the highest rating is the Xiaomi Redmi Note 12 Pro. This smartphone meets the criteria for price, rating, 5G features, NFC, IR Blaster, RAM capacity, internal memory, battery, screen refresh rate, and rear main camera well. This decision support system provides effective assistance in choosing a smartphone according to user preferences and needs.

Full Text:

PDF

References


T. J. Doty, E. K. Stekl, M. Bohn, G. Klosterman, G. Simonelli, and J. Collen, “A 2022 Survey of Commercially Available Smartphone Apps for Sleep,” Sleep Med Clin, Jun. 2023, doi: 10.1016/j.jsmc.2023.05.008.

A. Choicharoon, R. Hodgett, B. Summers, and S. Siraj, “Hit or miss: A decision support system framework for signing new musical talent,” Eur J Oper Res, Jun. 2023, doi: 10.1016/j.ejor.2023.06.014.

T. Singh, P. Pattnaik, S. R. Kumar, G. Fekete, G. Dogossy, and L. Lendvai, “Optimization on physicomechanical and wear properties of wood waste filled poly(lactic acid) biocomposites using integrated entropy-simple additive weighting approach,” S Afr J Chem Eng, vol. 41, pp. 193–202, Jul. 2022, doi: 10.1016/j.sajce.2022.06.008.

weiyi Wei, J. Wang, jingyu Li, and mengyu Xu, “A novel image recommendation model based on user preferences and social relationships,” Journal of King Saud University - Computer and Information Sciences, p. 101640, Jul. 2023, doi: 10.1016/j.jksuci.2023.101640.

F. Näher et al., “Secondary data for global health digitalisation,” 2023. [Online]. Available: www.thelancet.com/

T. Chen, N. L. Zhang, T. Liu, K. M. Poon, and Y. Wang, “Model-based multidimensional clustering of categorical data,” Artif Intell, vol. 176, no. 1, pp. 2246–2269, Jan. 2012, doi: 10.1016/j.artint.2011.09.003.

R. E. Setyani and R. Saputra, “Flood-prone Areas Mapping at Semarang City by Using Simple Additive Weighting Method,” Procedia Soc Behav Sci, vol. 227, pp. 378–386, Jul. 2016, doi: 10.1016/j.sbspro.2016.06.089.

C. Moler and J. Little, “A history of MATLAB,” Proceedings of the ACM on Programming Languages, vol. 4, no. HOPL, Jun. 2020, doi: 10.1145/3386331.


Article Metrics

Abstract view : 188 times
PDF - 29 times

DOI: https://doi.org/10.26714/jkti.v1i2.12920

Refbacks

  • There are currently no refbacks.


=======================================================================================

Penerbit:

  • JKTI | Jurnal Komputer dan Teknologi Informasi
  • Program Studi S1 Informatika,  Unimus| Universitas Muhammadiyah Semarang
  • Sekretariat: Gedung Kuliah Bersama II (GKB II) Lantai 7,  Jl. Kedungmundu Raya No 18 Semarang
  • email: [email protected], Phone: + +62 813 2504 3677
  • e-ISSN: 2986-7592

Paper Template: Download

------------------------------------------------------------------------------------------------------------------------------------------------------