IMPLEMENTATION OF TECHNIQUE METHOD FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) FOR SMARTPHONE SELECTION
Article Sidebar
Published
Nov 9, 2022
Main Article Content
Abstract
The rapid development of technology has impacting on people's lives, including in the telecommunications sector. Various smartphone brands began to emerge by offering various advantages and characteristics of each. In some countries, smartphones have become a lifestyle and even a indicator of one's economic level. It's reasonable, considering that smartphones are never separated away from a person's activities, wherever and whenever there are. Many alternatives option makes some people confused in making choices when they are going to purchase a smartphone, so the manufacture of a smartphone selection support system is developed. TOPSIS method is a simple method that is able to provide alternative option based on the highest value of input preferences. The preferences used are taken from popular criteria when buying a smartphone such as; price, RAM, memory, camera, and battery capacity.
Article Details
How to Cite
Arifin, M., Edy Sudiati, L., & Haryani, N. (2022). IMPLEMENTATION OF TECHNIQUE METHOD FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) FOR SMARTPHONE SELECTION. SOSCIED, 5(2), 238-245. https://doi.org/10.32531/jsoscied.v5i2.528
Section
Articles
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
LPPM Politeknik Katolik Saint Paul Sorong
References
Zhang K Z K, Benyoucef M. 2016. Consumer Behavior in Social Commerce: A Literature Review. Decision Support Systems. 86 95–108.
Belbag S, Gungordu A, Yumusak T, Yilmaz K G. 2016. The Evaluation of Smartphone Brand Choice: an Application with The Fuzzy Electre I Method. International Journal of Business and Management Invention. 5:3 55-63.
Srivastava A, Majumdar R, Tyagi V, Choudary S, Choudary M. 2017. Comparison between Smart Phones on the Basis of their Reliability Factors. IEEE Publisher on 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS). 492-496.
Lobo V B, Ansari N, Minu A, Siddiqui S, D’souza F, Augestin J S. 2016. Smartphone Selection using Analytic Hierarchy Process. International Journal of Engineering and Advanced Technology. 6:1 99-105.
Yazdani M, Chatterjee P, Montero-Simo M J, Araque-Padilla R A. 2019. An Integrated Multi-Attribute Model for Evaluation of Sustainable Mobile Phone. MDPI: Sustainability. 11 3704.
Singh S, Pattnaik P K. 2018. Recommender System for Mobile Phone Selection . International Journal of Computer Science and Mobile Applications. 6:4 150-162.
Keshavarz-Ghorabaee M, Amiri M, Zavadskas E K, Turskis Z, Antucheviciene J. 2018. A Dynamic Fuzzy Approach Based on the EDAS Method for Multi-Criteria Subcontractor Evaluation. MDPI: Information. 9 68.
Rahim R, Siahaan A P U, Wijaya R F, Hantono H, Aswan N, Thamrin S. 2018. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Method for Decision Support System in Top Management. International Journal of Engineering & Technology. 7:3.4 290-293.
Rahim R, Supiyandi S, Siahaan A P U, Listyorini T, Utomo A P. 2018. TOPSIS Method Application for Decision Support System in Internal Control for Selecting Best Employees. IOP Conference Series: Journal of Physics: Conference Series. 1028 012052.
Meiriza A, Lestari D A. 2020. Implementation of Technique for Order Preference by Similarity to Ideal Solution Method in the Selection of Integrated Islamic Elementary School. Atlantis Press SARL: Advances in Intelligent Systems Research. 172 512-51
Belbag S, Gungordu A, Yumusak T, Yilmaz K G. 2016. The Evaluation of Smartphone Brand Choice: an Application with The Fuzzy Electre I Method. International Journal of Business and Management Invention. 5:3 55-63.
Srivastava A, Majumdar R, Tyagi V, Choudary S, Choudary M. 2017. Comparison between Smart Phones on the Basis of their Reliability Factors. IEEE Publisher on 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS). 492-496.
Lobo V B, Ansari N, Minu A, Siddiqui S, D’souza F, Augestin J S. 2016. Smartphone Selection using Analytic Hierarchy Process. International Journal of Engineering and Advanced Technology. 6:1 99-105.
Yazdani M, Chatterjee P, Montero-Simo M J, Araque-Padilla R A. 2019. An Integrated Multi-Attribute Model for Evaluation of Sustainable Mobile Phone. MDPI: Sustainability. 11 3704.
Singh S, Pattnaik P K. 2018. Recommender System for Mobile Phone Selection . International Journal of Computer Science and Mobile Applications. 6:4 150-162.
Keshavarz-Ghorabaee M, Amiri M, Zavadskas E K, Turskis Z, Antucheviciene J. 2018. A Dynamic Fuzzy Approach Based on the EDAS Method for Multi-Criteria Subcontractor Evaluation. MDPI: Information. 9 68.
Rahim R, Siahaan A P U, Wijaya R F, Hantono H, Aswan N, Thamrin S. 2018. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Method for Decision Support System in Top Management. International Journal of Engineering & Technology. 7:3.4 290-293.
Rahim R, Supiyandi S, Siahaan A P U, Listyorini T, Utomo A P. 2018. TOPSIS Method Application for Decision Support System in Internal Control for Selecting Best Employees. IOP Conference Series: Journal of Physics: Conference Series. 1028 012052.
Meiriza A, Lestari D A. 2020. Implementation of Technique for Order Preference by Similarity to Ideal Solution Method in the Selection of Integrated Islamic Elementary School. Atlantis Press SARL: Advances in Intelligent Systems Research. 172 512-51