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All Journal The Indonesian Journal of Computer Science
Tri Sundara
Universiti Kebangsaan Malaysia
Computer Science & IT Electrical & Electronics Engineering Engineering

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Evaluation of Cloud-Based Ethereum Network Performance Tri Sundara; Lathifah Arief
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): Indonesian Journal of Computer Science Volume 10. No. 2 (2021)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/IJCS.V10I2.446

Abstract

Ethereum, that enable development of decentralized applications, will likely to leverage cloud computing. In this research, we evaluate the performance of a cloud-based Ethereum network. We researched 3 Ethereum networks, namely: Ethereum mainnet, Ethereum testnet Ropsten, and Ethereum testnet Rinkeby. We analyze the computational resource utilization required to run an Ethereum node for a month as well as the costs involved. Research shows that the utilization of computing resources on the Main Net is generally higher than on the Test Net network. Computing resources used in the cloud cost thousands of dollars and this will increase as the number of nodes running to support the Ethereum network.
Scrum Implementation in Development of Online Research Application Tri Sundara; Dilly Setiawan; Farid Subkhan; Fitrah Rahmat Kautsar
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): Indonesian Journal of Computer Science Volume 11. No. 2 (2022)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3072

Abstract

Researchers often need a way to obtain research data through an online survey. Therefore a web-based online research application could be developed to address these needs. By using Scrum methodology, the online research application was then developed in which some challenges were found such as consistency of logic between developers in a team, relationships between different user modules, and shared debugging, among others. The challenges could be addressed by compliance with Scrum best practices and standards.
Utilizing Machine Learning and Cloud Services to Improve Disaster Information Systems Lathifah Arief; Tri Sundara
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): Indonesian Journal of Computer Science Volume 11. No. 1 (2022)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3090

Abstract

Cloud services have enabled various information system developments. In this paper, we explore the use of Amazon Sagemaker cloud services and AWS Data Exchange in disaster information systems. We proposed cloud architecture for a disaster information system and found some of the datasets provided on AWS Data Exchange could be leveraged for such system.
Co-Authors Dilly Setiawan Farid Subkhan Fitrah Rahmat Kautsar Lathifah Arief, Lathifah