Decision Support System for Selecting the Best Cryptocurrency Mining Machine Using the Multifactor Evaluation Process Method

Chamdan Mashuri; Bernad J. D. Sitompul; Dwi Vernanda; Nasib Marbun

doi:10.58905/sana.v1i1.152

Authors

Chamdan Mashuri Program Studi Sistem informasi, Fakultas Teknologi Informasi, Universitas Hasyim Asy'ari, Jombang, Indonesia
Bernad J. D. Sitompul Fakultas Teknik, Program Studi Teknik Informatika, Universitas Sam Ratulangi, Manado, Indonesia
Dwi Vernanda Prodi Sistem Informasi, Jurusan Manajemen Informatika, Politeknik Negeri Subang, Subang, Indonesia
Nasib Marbun Sekolah Tinggi Ilmu Manajemen Sukma, Medan, Indonesia

DOI:

https://doi.org/10.58905/sana.v1i1.152

Keywords:

Best Cryptocurrency Mining Machine, Multifactor Evaluation Process, Decision Support System

Abstract

Cryptocurrency mining is a process carried out using a specialised computer network in order to obtain new crypto assets. The cryptocurrency mining business in today's digital era is increasingly in demand by netizens. Many netizens run cryptocurrency mining businesses to generate new cryptocurrency assets that can be traded on the cryptocurrency market to earn huge profits. In doing cryptocurrency mining itself, it is necessary to be careful in choosing the cryptocurrency mining machine used to get the maximum profit. In this study, researchers proposed the Multifactor Evaluation Process as a decision support system method used to simplify the process of selecting the best cryptocurrency mining machine. The results of this study show that the best cryptocurrency mining machine that is most recommended to use is Cheetah Miner F5I (0.2120), followed by the alternatives iBeLink DSM7T Miner (0.2072), Bitfury RD4 (0.2016), Aladdin T1 16T (0.2016), and Obelisk SC1 Dual (0.1800).

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