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All Journal Jurnal Teknimedia: Teknologi Informasi dan Multimedia
Heroe Santoso
Universitas Bumigora Mataram
Computer Science & IT Control & Systems Engineering Engineering

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SISTEM PENDUKUNG KEPUTUSAN KELOMPOK PENENTUAN DOSEN PENGAMPU MATA KULIAH DENGAN METODE PROMETHEE DAN BORDA Heroe Santoso; Raisul Azhar; I Putu Hariyadi; Husain Husain; Yayan Suganda
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 4 No. 1 (2023): Juni 2023
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v4i1.88

Abstract

Lecturers are professional educators and scientists with the main task of teaching, transforming, developing and disseminating science, technology, and art (IPTEKS) through teaching, research and community service. The position of lecturers as professionals serves to increase the dignity of lecturers and develop science and technology to improve the quality of national education. The goal is to implement the national education system and realize the goals of national education. The head of the study program and the dean in determining the lecturers for the courses are still done manually based on the competence of each lecturer and looking at the previous semester's teacher decisions. In this method of determination, of course, the results obtained are still not optimal because there are still some lecturers who do not match the competencies/qualifications of the courses being taught. Based on the problems above, the faculty will think of a better system, namely switching from a manual system to a Group Decision Support System (GDSS). The GDSS method used is the promethee and borda method which is one method of solving decision-making problems in a group. With promethee and borda method, several different opinions or perceptions about a decision can be combined into a group/joint decision. That way, the resulting decisions can be accepted by the group. The system development method uses the waterfall method which consists of several stages, including: data collection stage, analysis stage, design stage, coding stage and testing stage. The conclusion of this study resulted in a Group Decision Support System for determining the lecturers of courses using the borda method. Based on the results of system testing, respondents stated that the system can simplify and speed up the process of determining the course lecturers.
IMPLEMENTATION OF CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT TO AUTOMATE COMPUTER NETWORK INFRASTRUCTURE CONFIGURATION MANAGEMENT I Putu Hariyadi; Raisul Azhar; Heroe Santoso; Khairan Marzuki; I Made Yadi Dharma
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 4 No. 2 (2023): Desember 2023
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v4i2.127

Abstract

Computer network infrastructure is one of the supporting components for smooth operations for companies that utilize Information and Communication Technology (ICT). Companies are required to continue to innovate to continue to grow so it requires various adjustments, including changes to the policy configuration of computer network infrastructure. Implementation of configuration changes to computer network infrastructure if done manually will be inefficient and ineffective. In addition, it is prone to errors as a result of human error resulting in downtime. The application of Continuous Integration/Continuous Deployment (CI/CD) can be a solution to overcome these problems. This study analyzes the implementation of CI/CD on network infrastructure which is simulated using the PNETLab and GitLab CI/CD tools as well as Ansible Configuration Management. Based on the tests conducted five times, it can be concluded that the Ansible Playbook that has been created and integrated with the GitLab CI/CD pipeline can be used to automate configuration management of MikroTik-based network infrastructure that is simulated in PNETLab. CI/CD can speed up the implementation of configuration changes on network devices through an automated process. Testing additional configurations on the test network takes an average of 82.6 seconds. Meanwhile, on the production network, it takes an average of 80.2 seconds. On the other hand, testing the configuration deletion on the test network takes an average of 56.6 seconds. Meanwhile, on the production network, the average is 54.4 seconds. In addition, the application of CI/CD can minimize errors because before the configuration is applied to the production network, the configuration is tested first on the test network automatically. Application of the configuration to the production network is carried out only if testing of the configuration on the test network is successful. The CI/CD mechanism can improve the performance and reliability of computer network infrastructure.
Co-Authors Azhar, Raisul Husain Husain I Made Yadi Dharma I Putu Hariyadi Khairan marzuki Yayan Suganda