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Using Backpropagation Neural Network for Polyvinylchloride Ceiling Price Modeling Purnawan, Hendra; Putra, Ryan; Fauzi, Rifqi; Setiawan, Antonius; Jaenul, Ariep; Al-Hakim, Rosyid; Nugroho, Habibie; Kuntjoro, Yanif
Jurnal Ilmiah Informatika dan Komputer Vol. 1 No. 1 (2024): Juni 2024
Publisher : CV.RIZANIA MEDIA PRATAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69533/caz0ac86

Abstract

Sales predictions on building material products today have applied an artificial neural network approach. One of the products of building material that need to be predicted for sales is polyvinylchloride (PVC) ceilings. Most companies haven’t implementing prediction technique for the sale of PVC ceilings, so this study aims to predict PVC ceiling sales with the backpropagation neural network (BPNN) method using the R algorithm. Unit gradients are calculated using the average absolute per cent error value (MAPE) to minimize the total square errors of network output. The results showed that the network architecture used was 4 to 6-1 and obtained an accuracy of 88% based on the lowest MAPE value.
Analisis AWS, Microsoft Azure, dan GCP terhadap Latency, Throughput, IAM, dan Firewall Islam, Ichsani; Setiawan, Antonius; Jaenul, Ariep; Mulyono, Sidik; Hertin, Revita; Wibowo, Aryo; Nisa, Khoirun; Wibisono, Sony
Jurnal IT UHB Vol 6 No 2 (2025): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/ikomti.v6i2.1795

Abstract

This study evaluates the performance and security of Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) through technical testing and user experience surveys. Testing with Apache JMeter reveals that GCP has the highest throughput (61.7 bps) and best speed, while AWS has the lowest response time (38.16 ms) and Latency (507 ms). Performance data is presented in tables and graphs. In terms of security, AWS and Azure offer comprehensive features including role-based access control and multi-factor authentication, while GCP emphasizes network protection. Reliability analysis using Cronbach’s Alpha indicates excellent internal consistency (α > 0.9), with ANOVA tests showing significant differences in Throughput, Speed, and Firewall among providers, while other parameters show no significant differences. The findings provide insights into the strengths and weaknesses of each Cloud service provider.
Analysis of Distributed File System Replication Using the NDLC Method with Hyper-V Virtual Simulation Machine Sumirat, Ucu; Setiawan, Antonius; Wilyanti, Sinka; Al-Hakim, Rosyid
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 1 No. 1 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v1i1.59

Abstract

The need to access file sharing easily on an organization's computer network was increased. Users didn't have to worry about the number of file server addresses that can be accessed and are made with only one access address to use file sharing. The availability of data on the network to file storage availability in an organization was also essential. Data would be permanently lost, following a reason including hardware failure, or even accidentally deleted. It was important to ensure that there was a copy of the data. Achieving good data availability requires a system strategy built in the organization's data center. This research used Distributed File System Replication (DFSR) based on active directory domain services with Windows Server. The research method used NDLC (Network Diagram Life Cycle) method. This research was conducted through analysis with the Hyper-V virtual simulation machine. The results of the research with this simulation are that the Distributed File System (DFS) makes it easy for users to access file shares on several file server nodes using only one URL address. DFSR makes it easy for users to clone files automatically on multiple nodes file servers at other locations. DFSR, with its Share and Publish features, provide good data availability. If one of the file server nodes experiences an interruption, the file server nodes at another location would be taken over to provide the data. This system makes it easy for administrators to manage file servers