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Journal : Jurnal Teknik Informatika (JUTIF)

DOCKER-BASED MONOLITHIC AND MICROSERVICES ARCHITECTURE PERFORMANCE COMPARISON Panji Dirgantara, Deni; Dana Sulistyo Kusumo; Rio Guntur Utomo
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1338

Abstract

Most developers still use the monolithic architecture, where all components of an application are combined into one integrated system, so each part depends on other components. The monolithic architecture has weaknesses, such as when a failure occurs in one component, all parts cannot be executed because each component relies on one other component. Microservices can be a solution to this, considering that in the microservices architecture, each element or service is created and put separately, so when a failure occurs in one component, other components will not be affected and can still run normally. This research aims to determine the implementation and performance comparison between monolithic architecture and microservices Architecture in the Agreeculture Market web app. Agreeculture Market is a web application that aims to facilitate the transaction process of agricultural commodities and make it easier for agricultural commodity producers to market their products. The measurement method used to measure the performance of both architectures is load testing using JMeter and performance tools from task manager and comparing the response time, throughput, disk usage, CPU usage, and memory usage of both used architectures. With two measurement schemes with Docker and without Docker, the result of this research is a performance comparison between the two architectures, where the backend application Agreeculture Market, which uses microservices architecture with Docker and API gateway, performs better than the monolithic architecture version. Conversely, the monolithic architecture performs better than the microservices architecture in the scheme without Docker and API gateway.
FACTORS AFFECTING USER'S ACCEPTANCE OF ADOPTING BIOMETRICS TECHNOLOGIES USING THE TAM MODEL Zihan Kalila Gusnan; Rio Guntur Utomo
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2249

Abstract

User privacy and security concerns hinder the adoption of biometric authentication technology in Indonesia, especially when consumers are still determining how their biometric data will be stored, accessed and used. This research aims to investigate the variables that influence the adoption of biometric authentication technology in Indonesian society. The Technology Adoption Model is used in this research to estimate the impact of different parameters and investigate the importance of novel elements in adopting biometric authentication. Several factors are examined to see how they affect Actual System Use (ASU), including Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Trust & Security (TS), Perceived Privacy (PP), Attitude towards Using Technology (ATU), and Behavioral Intention to Use (BIU). New theories are presented in this study, focusing on the relationship between PP and BIU, which is supported by respondent data. The results show the rejection of two hypotheses: first, the effect of PU on BIU may not be strong enough to influence user intention, and other variables may be at play; second, the effect of PEOU on BIU implies that perceived ease of use alone may not be sufficient to influence user intention. BIU has a major impact on the adoption of biometric authentication technologies. Furthermore, this research found that compared to PU and PEOU, the original components of TAM BIU are more influenced by variables such as ATU, PP and TS. These results suggest that new considerations such as privacy, trust, and security are more influential in shaping usage intention in biometric authentication.