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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

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.

Aplikasi Augmented Reality (AR) Alur Pembuatan SIM C Berbasis Android Supriyanto, Arif; Asmilia, Asmilia
Jurnal Humaniora Teknologi Vol. 5 No. 1 (2019): Jurnal Humaniora Teknologi
Publisher : P3M Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jht.v5i1.55

Augmented Reality (AR) merupakan teknologi yang menggabungkan benda maya dua dimensi dan tiga dimensi lalu memproyeksikan benda-benda maya tersebut kedalam dunia nyata. Teknologi AR dapat diterapkan untuk media informasi. Khususnya pada Android yang memiliki banyak pengguna dari kalangan masyarakat di Indonesia. Tujuan dari dibangunnya aplikasi AR alur pembuatan SIM C berbasis Android ini adalah untuk memberikan informasi yang yang lebih menarik dan interaktif kepada masyarakat tentang alur pembuatan SIM C. Melalui media informasi ini masyarakat dapat berinteraksi langsung dengan aplikasi AR untuk mengetahui alur pembuatan dan juga persyaratan pembuatan SIM C dengan lebih menarik dan mudah dimengerti. Aplikasi yang dibangun menampilkan objek virtual 3D dan audio pada perangkat mobile android secara real time. Berdasarkan hasil pengujian aplikasi ini dapat bekerja dengan baik pada mobile platform android dan hasil uji coba implementasi berdasarkan kuisioner sebanyak 30 orang menggunakan metode skala likert diperoleh hasil 80,66%. Maka dapat disimpulkan aplikasi AR alur pembuatan SIM C berbasis android ini dikategorikan sangat baik.

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

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

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

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.

Persepsi Mahasiswa Program Studi Informatika Universitas Al Azhar Indonesia Terhadap Implementasi Merdeka Belajar Kurikulum Merdeka Hermawan, Denny; Supriyanto, Arif; Hakim, Dewi Ananta; Nofanti, Amanda Chelsi
Jurnal Al Azhar Indonesia Seri Ilmu Sosial Vol 3, No 2 (2022): Juni 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/jaiss.v3i2.1000

Banyak jalan menuju kompetensi unggul. Setiap mahasiswa memiliki potensi, cita-cita, aspirasi dan kecenderungan yang berbeda satu sama lain. Kementerian Pendidikan dan Kebudayaan (Kemendikbud) mengeluarkan kebijakan Merdeka Belajar Kampus Merdeka (MBKM) untuk memberikan kemerdekaan kepada mahasiswa dalam memilih jalan terbaik mengembangkan potensi diri melalui pembelajaran yang fleksibel. Program Studi Informatika Universitas Al Azhar Indonesia (IF UAI) menjadi salah satu program studi (prodi) yang mengambil peranan aktif dalam implementasi MBKM untuk mendukung pendidikan yang memerdekakan dan memberdayakan guna mencapai visi dan misi prodi serta tujuan pendidikan tinggi. Penelitian ini melakukan analisis deskriptif terhadap jawaban dari 21 pertanyaan survei sebanyak 198 mahasiswa aktif IF UAI yang melakukan pengisian survei daring melalui platform survey.spadadikti.id. Pertanyaan dikelompokkan menjadi 5 bagian yakni Pengetahuan Program MBKM, Kondisi Prodi sebelum adanya MBKM, Kesiapan dan minat mahasiswa untuk mengikuti Program, Manfaat program MBKM untuk peningkatan Kompetensi mahasiswa, Manfaat Program MBKM untuk memasuki pasca kampus, dan rekomendasi program. Hasil survei menggambarkan persepsi mahasiswa Program Studi Informatika, Fakultas Sains dan Teknologi, Universitas Al Azhar Indonesia terhadap program MBKM. Sebagian besar mahasiswa memiliki perspektif yang baik mengenai program ini dan menyatakan bahwa MBKM merupakan program yang penting, dapat memberikan kompetensi tambahan serta melatih soft skill mahasiswa. Selain itu, kompetensi tambahan sangat relevan dan dibutuhkan dalam kehidupan setelah di kampus.Kata kunci - MBKM, kompetensi, learning fleksible, passion.

Utilization of the AgriTrack Information System to Strengthen Smart Farming Practices in Small-Scale Hydroponic Enterprises Sholeha, Eka Wahyu; Supriyanto, Arif; Utomo, Hendrik Setyo; Firmansyah, Eka Ridhoni August; Aisyah, Aisyah; Hidayat, Ardhi; Mardhiyatirrahmah, Liny
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1385

The implementation of smart farming in small-scale hydroponic enterprises is often constrained by high automation costs and technological complexity. This study examines the utilization of the AgriTrack information system as a practical approach to strengthening smart farming practices through structured digital data management. AgriTrack was utilized in a small-scale hydroponic farm using a Software Development Life Cycle (SDLC) Waterfall approach, encompassing system configuration, operational deployment, and evaluation through functional testing and user acceptance testing. The system applies a cycle-based relational data model to manage cultivation records from sowing to harvesting and integrates automated scheduling with Telegram Bot notifications. Testing results indicate a 100% success rate across core operational functions, while user evaluation shows that routine cultivation data recording time was reduced from several minutes to under one minute per entry. Notification delivery was consistently observed within approximately one minute after scheduled triggers, supporting timely operational decisions. These findings demonstrate that AgriTrack effectively strengthens smart farming practices in MSME-scale hydroponic enterprises by improving efficiency and accountability, while providing a scalable foundation for gradual adoption of advanced technologies such as IoT and data analytics.

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