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All Journal Jurnal Pendidikan Vokasi Jurnal Pembangunan Wilayah dan Kota Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Portal: Jurnal Teknik Sipil Jurnal Mandala Pengabdian Masyarakat Jurnal Pendidikan dan Teknologi Indonesia Jurnal Riset dan Inovasi Pembelajaran Elektriese: Jurnal Sains dan Teknologi Elektro As-Sulthan Journal of Education International Journal of Multidisciplinary Reseach Indonesian Journal on Learning and Advanced Education (IJOLAE)
Azahar, Ridho
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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GEMAR (Game Belajar Al-Qur’an) : Inovasi Desain Belajar Al-Qur’an Berbasis Game Interaktif Nur Cahyo, Ahmad; Azahar, Ridho; Noufal, M. Zaky
Elektriese: Jurnal Sains dan Teknologi Elektro Vol. 13 No. 02 (2023): Artikel Riset Oktober 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/elektriese.v13i02.3382

Abstract

Peningkatkan penggunaan ponsel di Indonesia membuat masyarakat semakin banyak berinteraksi dengan gadget terkhususnya anak-anak. Penggunaan ponsel yang baik dapat memberikan dampak pembelajaran yang signifikan dengan memanfaatkan berbagai fitur yang ada. Pada penelitian ini pengembangan media pembelajaran Gemar bertujuan menjadikan proses pembelajaran Al-qur’an menjadi menarik dan menyenangkan bagi anak-anak. Metode yang digunakan adalah studi literatur dengan teknik analisis data deskriptif dan Argumentatif. Subjek yang dituju pada penelitian ini adalah anak usia dini dengan rentang usia 3 sampai 12 tahun. Hasil penelitian menunjukkan bahwa penggunaan Game Belajar Al-qur’an memberikan kemudahan bagi anak-anak dalam pembelajaran dan menjadikan pembelajaran Al-qur’an menjadi menyenangkan. Dengan adanya pengembangan Game belajar Al-Quran maka dapat meningkatkan minat pembelajaran Al-qur’an pada anak-anak dan dapat membantu dan mempermudah guru dan orang tua dalam memantau pemahaman anak dalam mempelajari Al-qur’an Kata kunci: Al-Quran, Anak Usia Dini, Game Interaktif
FACTORS AFFECTING STUDENT PERFORMANCE ON ENGINEERING DRAWINGS IN THE INDUSTRIAL REVOLUTION 4.0 Azahar, Ridho; Putu Sudira
International Journal of Multidisciplinary Reseach Vol. 1 No. 1 (2025): April
Publisher : International Journal of Multidisciplinary Reseach

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Abstract

The Industrial Revolution 4.0 has transformed education, particularly in technical drawing, requiring students to develop ICT literacy, social skills, and active engagement. However, many students face challenges in mastering ICT tools and collaborative skills, impacting their academic performance. This study uses a quantitative approach with an ex post facto design to analyze the relationships between student engagement, ICT literacy, social skills, and student performance. A Likert-scale questionnaire was distributed to 91 technical drawing students at Yogyakarta State University, and the data were analyzed using the SEM-PLS method. The results show that student engagement is the most influential factor in improving academic performance, followed by ICT literacy and social skills. Active student engagement enhances ICT literacy, which supports collaboration and boosts learning outcomes. Social skills, while less directly impactful, facilitate teamwork, which is crucial for technical drawing projects. This study emphasizes the need for integrated learning approaches combining engagement strategies, ICT literacy development, and social skill enhancement through digital tools and collaborative projects. These findings contribute to curriculum development, ensuring students are equipped to meet Industry 4.0 demands.
The influence of communication and student engagement on higher order thinking skills in automotive vocational education Siswanto, Ibnu; Purwanto, Purwanto; Fajri, Saian Nur; Azahar, Ridho
Jurnal Pendidikan Vokasi Vol. 15 No. 3 (2025): November
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v15i3.78228

Abstract

Higher order thinking skills (HOTS) are essential in vocational and engineering education; however, empirical evidence explaining how communication and student engagement jointly shape the development of HOTS remains limited, particularly in automotive contexts. This study aims to examine the partial and simultaneous influence of communication and student engagement on students’ HOTS, including problem-solving, critical thinking, and creativity. An ex post facto quantitative correlational design was employed, involving 208 undergraduate and diploma students from the Automotive Engineering Education and Vocational programs at Universitas Negeri Yogyakarta. Data were collected using validated questionnaires, and multiple linear regression analysis was conducted to determine both independent and combined effects of the predictor variables. The findings reveal that communication and student engagement each exert a positive and significant influence on HOTS, while their simultaneous contribution explains 71.9% of the variance in students’ HOTS scores. These results indicate that students who actively communicate, participate, and engage cognitively, behaviorally, emotionally, and agentically demonstrate stronger analytical, reflective, and creative thinking abilities. The study confirms that communication and engagement are not merely supporting attributes, but key drivers of advanced cognitive development in automotive vocational education. Implications highlight the importance of designing interactive and collaborative learning environments that foster participation and meaningful academic involvement to prepare students for increasingly complex professional challenges.
Fostering Green Skills in Vocational Students: The Impact of Learning Environment, Attitudes, and Competence Azahar, Ridho; Hariyanto, Valentinus Lilik; Prayogo, Wisnu; Fitria, Laili
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 8, No. 1, January 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v8i1.11746

Abstract

Vocational education plays a crucial role in preparing a workforce that is adaptable to the demands of sustainable development. However, the green skills of vocational school students are still classified as moderate to low, indicating a gap between knowledge and sustainability practices. This research aims to analyse the influence of the learning environment, environmental attitudes, and cognitive competencies on the green skills of vocational school students. The study employs a quantitative approach with a correlational descriptive method, involving 60 students from the construction engineering program selected through simple random sampling. The instrument, in the form of a Likert scale questionnaire, was tested for validity and reliability and analysed using multiple linear regression. The identification results showed that 87% of students have a positive perception of the learning environment, 60% have a good environmental attitude, 22% demonstrate high cognitive competence, and 55% fall into the fairly good category. Statistically, environmental attitude has the most dominant influence (β = .659, p = .000), followed by the learning environment (β = .286, p = .027) and cognitive competence (β = .286, p = .039). The R² value of .761 indicates that the three variables affect students' green skills by 76.1%. These findings imply the importance of transforming vocational learning through the integration of a green curriculum, strengthening sustainable pedagogy, and collaborating with the green industry
Success Factors in the Implementation of IoT-Enabled Predictive Maintenance Technology in Industrial Electrical Applications: A Systematic Literature Review Maringga, Daniel Ngolu Jiledo; Ali, Muhamad; Azahar, Ridho
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 12 No. 1 (2026): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v12i1.31651

Abstract

The development of the Internet of Things (IoT) in predictive maintenance (IoT-enabled Predictive Maintenance) for industrial electrical equipment offers significant potential to enhance system efficiency and reliability; however, its implementation is constrained by challenges related to sensor data integration, communication infrastructure quality, and security issues. This study addresses a gap in the literature by describing patterns of successful IoT-enabled Predictive Maintenance implementation in industrial electrical applications. The contribution of this research lies in providing a systematic synthesis of leading technologies and key success factors in the adoption of IoT-enabled Predictive Maintenance.  The method employed is a Systematic Literature Review (SLR) using the PRISMA approach, which resulted in 16 relevant articles. The findings indicate that the combination of IoT technologies, sensors, wireless networks, and edge-cloud architecture represents an appropriate technological configuration for building an effective Predictive Maintenance chain. These implementations are predominantly found in the manufacturing, energy, and transportation sectors, with the main success factors determined by data quality and network sustainability. These findings offer practical solutions for industry practitioners in improving the efficiency and sustainability of their systems. In conclusion, the successful implementation of IoT-enabled Predictive Maintenance in industrial electrical systems is highly dependent on the suitability of technological infrastructure, data governance, and service-based business models, while also opening opportunities for further research and the expansion of applications into other sectors.
Co-Authors Abdulloh Abdulloh Ade Vilya Ramadhani Alfi Syahri Alim, Maulina Idami Cahyo, Ahmad Nur Dirmayani, Tiya Erni, Netti Fitria, Laili Hadi, Muhammad Khoirul hajar, muhammad Handika, Pan Surya Hariyanto, Valentinus Lilik Hartati Hartati Hilhamsyah Hilhamsyah Hilhamsyah, Hilhamsyah Ibnu Siswanto Indah, Nurliyah Irawati, Fitri Lidar Seri Harmeni Hasibuan Maringga, Daniel Ngolu Jiledo Muhamad Ali Nasir, Farah Damia Mohd Nina Ariani Noufal, M. Zaky Nur Insani Nurul Saputri, Annisa Prayogo, Wisnu Purwanto Purwanto Putu Sudira Retna Hidayah Rezekine Meidea Naosis, Akehke Saian Nur Fajri, Saian Nur Sakti, Alif Aditia Saputra, Bagus Syafiatun Siregar Syahri, Alfi