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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Sains dan Informatika Elsains : Jurnal Elektro Jurnal ULTIMA InfoSys Jurnal Pengabdian Kepada Masyarakat (Mediteg) Scientific Journal of Informatics Jurnal Humaniora Teknologi Jurnal Humaniora Teknologi Brilliance: Research of Artificial Intelligence Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Hendrik Setyo Utomo
Politeknik Negeri Tanah Laut
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Implementation of EVE-NG in Increasing the Effectiveness of Project-Based Learning in the Network Computer Engineering Technology Study Program Utomo, Hendrik Setyo; Sholeha, Eka Wahyu; Supriyanto, Arif; Rusmana, Deni; Majid, Al
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4817

Abstract

The increasing demand for practical skills in computer networks has made hands-on learning a crucial element in information technology education. This study focuses on evaluating the usability of EVE-NG, a network simulation platform, to optimize project-based learning for students in the Computer Engineering and Network Program (TRKJ) at Politeknik Negeri Tanah Laut. The students, in their third semester, were selected as respondents, as they were enrolled in the Computer Networks 3 course, which is relevant to the practical use of EVE-NG. A usability analysis was conducted using five key indicators: Learnability, Memorability, Efficiency, Errors, and Satisfaction, assessed through questionnaires. The findings revealed that EVE-NG performs adequately across all indicators, with average scores ranging from 2.82 to 3.04, indicating good usability overall. Learnability and Memorability were rated as "good," though some users reported challenges in adapting to certain interface elements. Efficiency was rated "fair," with some feedback highlighting the need to improve workflow speed. The Errors indicator showed relatively low user mistakes, suggesting that the system is generally intuitive, although some interface ambiguities remain. Satisfaction received the highest score, reflecting user contentment with the platform, though improvements in system speed and interface clarity were suggested. The results provide essential insights into the current usability of EVE-NG and offer recommendations for further enhancements. With targeted improvements, EVE-NG can offer a more efficient and user-friendly experience, better supporting practical, real-world network simulation tasks in educational settings.
Design and Implementation Plagiarism Checker Application with DetectGPT using Scheduler Algorithm Supriyanto, Arif; Utomo, Hendrik Setyo; Rahmanto, Oky
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3275

Abstract

The increasing use of Generative AI in the field of writing in the academic world creates problems in the field of plagiarism. this problem has prompted an urgent need for plagiarism detection tools. However, not all universities are able to implement a system that is able to detect sentences or paragraphs resulting from generative AI. Recent research seeks to overcome this obstacle using AI itself, specifically through the DetectGPT model. However, the implementation of this technology has limitations, such as requiring large computing resources and quite a long examination time. Using a GPU can speed up the process, but not all users can implement it. Solutions to minimize processing time include using more than one worker, however, scheduling is essential to maximize plagiarism detection efficiency. This research proposes the implementation of the above system with the help of the scheduler. The results obtained in this system prototype are an average waiting time for checking of 457,778 seconds to complete 10 tasks with the help of 3 workers running at the same time.
Implementation of Web Based Leave Information System at PT Arutmin Indonesia Tambang Kintap Maulana, Dhiya Ulhaq; Supriyanto, Arif; Utomo, Hendrik Setyo; Rahmanto, Oky
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.3754

Abstract

Leave is one of the rights that must be given to employees by a company. The leave application process at PT Arutmin Indonesia Tambang Kintap is still done manually, starting from the leave application to the results of the leave decision. The process of checking employee leave balances, leave applications, approvals and leave reports still relies on previous leave files. This kind of management process is often complained about because it is felt to be less effective and efficient when searching, changing, deleting data and data redundancy often occurs. Therefore, the aim of this research is to build and implement an employee leave information system which is expected to be able to help the process of managing leave in the Company. This information system was designed using ERD, DFD using the waterfall system development model. This system was built based on a website using the My database. SQL Based on the results of system functionality testing, this leave information system can function well without any problems.
Co-Authors A.A. Ketut Agung Cahyawan W Abd. Rasyid Syamsuri Ahmad Rusadi Arrahimi - Universitas Lambung Mangkurat) Ahmad Rusadi Arrahimi - Universitas Lambung Mangkurat) Anggraeni, Dewi Indra Arif Supriyanto Arif Supriyanto Arif Surpriyanto Dewi Saadah Dwi Sawitri Eka Wahyu Sholeha Hayyah, Helda Ainur Herfia Rhomadhona Herfia Rhomadhona Herfia Rhomadona herpendi, herpendi Hestia Nur Sina Jaka Permadi Kasari, Yesi Nuryanti Lidya Permata Sari M. Fuadi Aziz Muri Majid, Al Maulana, Dhiya Ulhaq Muhammad Noor Muhammad Rusyadi Arrahimi Muri, M. Fuadi Aziz Oky Rahmanto Oky Rahmanto Permadi, Jaka Rabini Sayyidati Rahma Dwi Cahyani Rahman Rahman Rahmanto, Oky Rusmana, Deni Saadah, Dewi Safar Safar Safar, Safar Sari, Lidya Permata Sawitri, Dwi Sayyidati, Rabini Sholeha, Eka Wahyu Sina, Hestia Nur Suharmadi Suharmadi Suharmadi Suharmadi Supriyanto, Arif Veri Julianto Wan Yuliyanti Wan Yuliyanti Winda Aprianti Wiwik Kusrini Wiwik Kusrini Yuliyanti , Wan Yuliyanti, Wan