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All Journal JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY) Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
M. Fajar Wirayudha
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Perancangan Aplikasi Waste Bank dengan Teknologi Blockchain M. Fajar Wirayudha; Paniran Paniran
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 2 (2024): Mei : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i2.115

Abstract

The growth of blockchain technology has created significant demand for Solidity developers, especially in the development of smart contracts. This research presents the latest data regarding the surge in job vacancies for Solidity Blockchain Developers in Indonesia, highlighting more than 5,000 vacancies in October 2022 according to Tech in Asia. Meanwhile, a report from the United Nations Environment Agency (UNEP) confirms the escalation of the global plastic waste and waste problem. With more than 380 million tons of plastic waste generated every year, and only a small portion being recycled, plastic waste poses a serious threat to marine and terrestrial ecosystems. In addition, the impact of climate change is increasing with methane produced from organic waste in conventional landfills.
Performance Analysis of Cloud Computing Simulator CloudSim with Virtual Machine Configuration Changes giriwahyuwiriasto; M. Fajar Wirayudha; Ahmad Satriadi
JEITECH (JOURNAL OF ELECTRICAL ENGINEERING, INFORMATION TECHNOLOGY, CONTROL ENGINEERING, AND ROBOTIC) Vol. 2 No. 1 (2024): Edisi Maret 2024
Publisher : Depertment of Electrical Engineering University of Mataram

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Abstract

In the era of digital transformation, cloud computing simulation plays a crucial role in understanding and optimizing system performance before implementation. This research focuses on the performance analysis of CloudSim simulation by varying virtual machine (VM) parameters. The altered parameters include processor speed (MIPS), RAM size, and the number of CPUs. The research objective is to comprehend the impact of these changes on overall cloud system performance. Experimental methods involve CloudSim initialization, datacenter, and broker creation, along with VM and cloudlet configuration. Simulation results are analyzed to unveil the relationship between VM parameters and cloudlet execution time. This study aims to provide practical guidelines for optimizing VM configurations in the cloud environment, enhancing system efficiency and responsiveness. The research findings have implications for the development of more adaptive and effective cloud systems in the future, serving as a foundation for further advancements in the field.
Co-Authors Ahmad Satriadi giriwahyuwiriasto Paniran Paniran