Putra, Muhammad Trio Maulana
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V-Lab sebagai Sarana Pembelajaran Inovatif pada Pembelajaran Praktikum Fiber Optic Sa’adah, Nurul Laili; Putra, Muhammad Trio Maulana; Maula, Putrinda Inayatul; Putra, Emdi Ramadana
EDUTIC Vol 12, No 1: 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v12i1.29394

Abstract

Laboratorium Virtual (V-Lab) sebagai solusi inovatif untuk meningkatkan keterampilan praktik serat optik di sekolah menengah kejuruan (SMK), khususnya di program Teknik Komputer dan Jaringan (TKJ). Dengan sumber daya fisik yang terbatas di banyak sekolah, V-Lab menawarkan alternatif yang efektif dengan mensimulasikan tugas-tugas serat optik seperti instalasi, pemeliharaan, dan pemecahan masalah dalam lingkungan virtual. Metodologi tinjauan literatur yang sistematis digunakan, memanfaatkan analisis konten deskriptif dari artikel akademis yang relevan. Temuan ini menyoroti manfaat V-Lab, termasuk fleksibilitas, efektivitas biaya, dan keamanan, yang memungkinkan siswa untuk berlatih dengan kecepatan mereka sendiri. Namun, tantangan dalam mengadopsi V-Lab, seperti literasi digital guru dan kesiapan sekolah, juga dibahas. Hasil dari penelitian ini adalah pada pendidikan kejuruan V-Lab dapat mempersiapkan siswa untuk menghadapi dunia kerja yang berbasis teknologi, dan merekomendasikan peningkatan pelatihan guru dan pengembangan infrastruktur untuk mengoptimalkan penggunaannya
Analisis Penerimaan Teknologi Kecerdasan Buatan dalam Pembelajaran Pemrograman Web: Pendekatan Model Penerimaan Teknologi Putra, Muhammad Trio Maulana; Rochmah, Irma Nuur; Sa’adah, Nurul Laili; Sabar, Sabar; Sari, Nitta Puspita
EDUTIC Vol 12, No 1: 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v12i1.28877

Abstract

In the rapidly evolving digital era, the application of artificial intelligence (AI) technology in education, particularly in web programming learning, presents new challenges and opportunities. This study aims to explore students' perceptions of using AI in web programming education by employing the Technology Acceptance Model (TAM) as a theoretical framework. The research method used is a quantitative approach with a survey design, involving 47 students from the Information Technology Education Study Program at Mojosari Institute of Technology. The analysis results indicate that students have a positive perception of the ease of use and usefulness of AI, as well as a strong intention to continue using this technology in their learning. Despite the challenges in implementing AI, the findings suggest that AI has significant potential to enhance the effectiveness of web programming education. This research is expected to provide insights for the development of more effective curricula and teaching strategies.
Aplikasi Media Pembelajaran Ubiquitous Learning Of Angle Dengan Penerapan Pendekatan Otentik Putra, Muhammad Trio Maulana
EDUTIC Vol 10, No 1: November 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v10i1.20475

Abstract

Covid-19 has given a new personality to education in Indonesia. The use of technology which used to be very limited, but now become an important requirement in the teaching and learning process. The learning process that used to only use blackboards or teaching aids has many limitations and can be completed by utilizing technology with media according to the subject area. Therefore, this research develops a learning media with the name "Ubiquitous Learning of Angle" which we hereinafter refer to as ULA. ULA is expected to be used by Education and Students in the teaching and learning process, especially in corner material. In developing this ULA learning media, the researcher applied the authentic approach in its application. The research methodology used in developing this application is the waterfall methodology which has 5 development processes. In the development of ULA, the hardware used was laptops and smartphones and the software used included CorelDraw, Unity3D, xampp, and Visual Studio. The outputs of this research are ULA (Ubiquitous Learning of Angle) learning media applications for students and ULA Monitoring to monitor students' learning progress.
Adaptive Cognitive Learning in Vocational Education: Integrating Deep Learning for Fiber optic Network Competencies Sa'adah, Nurul Laili; Putra, Muhammad Trio Maulana; Anggana, Syeh Umar; Masykuri, Nuri Muhammadin
EDUTIC Vol 12, No 2: 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v12i2.31843

Abstract

The rapid advancement of digital technologies, particularly Deep Learning, presents opportunities to enhance adaptive cognitive learning in vocational education. This study investigates the integration of Deep Learning into the teaching of fiber optic network competencies in the Computer and Network Engineering (TJKT) program at vocational schools. Using a Systematic Literature Review (SLR) based on the PRISMA protocol, relevant studies published between 2020 and 2025 were retrieved from Scopus, IEEE Xplore, and Google Scholar. Findings reveal that Deep Learning enables real-time modeling of student learning patterns, supports personalized content delivery via learning management systems, and facilitates simulation and troubleshooting in fiber optic training. However, challenges include limited training data, inadequate computing infrastructure, and insufficient teacher readiness. The study concludes that implementing Deep Learning can significantly improve practical learning effectiveness, provided that infrastructure and educator competencies are strengthened
Development of a Web-Based Online Judge for Java Programming Examinations to Enhance Interactive Learning Environments Putra, Muhammad Trio Maulana; Sa’adah, Nurul Laili; Kurnia, Nicky Dwi; Ani, Febi Warta Nur
EDUTIC Vol 12, No 2: 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v12i2.31861

Abstract

This paper addresses the challenges in traditional programming assessment, such as scalability and delayed feedback. We present the development of a web-based examination platform for the Java programming language. The system is designed with a decoupled architecture, integrating the CodeMirror editor to create an interactive learning environment and leveraging the Glot.io API for secure, sandboxed code execution. This approach mitigates security risks associated with evaluating untrusted code and provides students with real-time, automated feedback. The resulting platform offers a robust, secure, and pedagogically enhanced solution for online programming assessment, improving both the efficiency for instructors and the learning experience for students.