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Computer mining rigs are specially designed for only one purpose which is to mine crypto assets efficiently and effectively. Mining takes a lot of time, therefore it is very important to pay attention to computers for mining. The better the quality of the PC or computer, the faster the mining process will be. So far, consumers in choosing a mining rig computer only observe the mining rig computer without looking at special criteria such as price, motherboard, processor, VGA, power supply and RAM. COPRAS method assessment criteria include price criteria, motherboard, processor, VGA, power supply and RAM.. The system development method uses a prototype, the system design uses UML and the system manufacture uses PHP and MySQL. The results of the computer mining rig recommendations calculated using the COPRAS method are 12 GPUs 381 mh/s with a value of Ui = 1,000, Rig RTX 2060 with a value of Ui = 0,8157, Rig 6 x RTX 3060 with a value of Ui = 0,7108 and Rig RTX 2060 II with a value of Ui = 0.7014..

This research analyzes cryptocurrency fundamentals during the pandemic COVID-19 significantly affected cryptocurrencies during a brief period of financial panic. Technological advances resulted in the shift of traditional currencies towards digitalization. Volume and market cap variables are used as independent variables. The cryptocurrencies in this study are Bitcoin, Ethereum, Binance Coin, Ripple, and Dogecoin, which have the top 10 largest market capitalization. The research data was taken on the CoinMarketcap.com website from the beginning of the pandemic in Indonesia in March 2020 – to February 2021. The results showed that the Market Cap of Bitcoin, Ethereum, Binance Coin, Ripple, and Dogecoin had a significant effect on the price. Furthermore, the volume of Bitcoin, Ethereum, Binance, and Dogecoin has an effect and is significant on the price. In comparison, Ripple Volume has no effect and is not significant to the price. This implies that highly speculatively priced cryptocurrencies have the same fundamental value as stock prices.