Dian W. Chandra
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IMPLEMENTASI STATIC APPLICATION SECURITY TESTING MENGGUNAKAN JENKINS CI/CD BERBASIS DOCKER CONTAINER PADA PT. EMPORIA DIGITAL RAYA Abriza Mahandis Shama; Dian W. Chandra
JURNAL ILMIAH INFORMATIKA Vol 9 No 02 (2021): Jurnal Ilmiah Informatika (JIF)
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v9i02.3769

Abstract

PT. Emporia Digital Raya is an fintech company. The product include web and android application. However, in the deployment system, PT Emporia Digital Raya still uses an ancient system with a single vm system and only uses git for deployment to server. Even though at this time the deployment process of an application has grown very far. Therefore, in this study will created a system which is currently popular being used. This system is called DevSecOps. Devsecops will need a tools like Jenkins, Sonarqube, and Docker. The core of this system is the automation process where the deployment process is no longer done manually as before. With this system, it is hoped that will help speed up developer work and improve code quality.
Penerapan load balancing web server berbasis K-NN dengan open vSwitch dalam Jaringan software defined network Cristhian Abimayu Wibowo; Dian W. Chandra
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 5 No 1 (2026): IT-Explore Februari 2026
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v5i1.2026.pp98-108

Abstract

Software Defined Network is a popular computer network concept today because of the ease of managing network traffic with the control plane. Massive internet usage makes web server services on SDN networks overloaded. There are many load balancing concepts to overcome this problem, one of which is implementing the K-NN algorithm. This study aims to maximize the performance of the K-NN algorithm on SDN networks by optimizing the K value using Grid Search Cross Validation, and adding server status selection logic based on the smallest disk if the server status calculated by K-NN has the same. All implementations of the load balancing concept in this study were created virtually using Open vSwitch and virtualbox. Testing was carried out using CPU, MEMORY, and DISK parameters sent by the server with the help of the psutils component. JMeter software was used for testing by sending data using the POST method. The data type is text/plain with a data size of 1MB, testing was carried out in stages with threads 100, 200, 300, 400. The test results showed that the performance of the K-NN algorithm was running optimally. There was no significant difference in the distribution of the load to the server, this made the optimization and addition of logic successful.