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

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
Enhancing Teacher Professionalism Through Educational Supervision: A Literatur Review In Indonesian Context Hilhamsyah Hilhamsyah; Ridho Azahar; Pan Surya Handika
Edusoshum : Journal of Islamic Education and Social Humanities Vol. 5 No. 2 (2025)
Publisher : Ikatan Cendikiawan Ilmu Pendidikan Islam (ICIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52366/edusoshum.v5i2.176

Abstract

Educational supervision plays an important role in improving the quality of teacher professionalism in schools. The reality in Indonesia is that supervision is not well understood in terms of its function and purpose. In addition, supervision is still administrative in nature and has not focused on improving teacher professionalism. This research aims to reveal the implementation strategies of educational supervision that can improve teacher professionalism. This research method uses a literature study using Google Scholar data base indexed sinta 1 to 3 published in 2019-2024 using the keywords supervision, teacher, professionalism based on research topics that are relevant to the research objectives. The results showed that 1) strategies that can be used in educational supervision are the contribution of school principals, e-supervision-based and collaborative approaches. 2) The characteristics of teacher professionalism are dedicated, competent, communicative and integrity. With this research, it is hoped that it can contribute to making a supervision policy programme that focuses on developing teacher professionalism in educational institutions
Success Factors in the Implementation of IoT-Enabled Predictive Maintenance Technology in Industrial Electrical Applications: A Systematic Literature Review Daniel Ngolu Jiledo Maringga; Muhamad Ali; Ridho Azahar
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.
The influence of communication and student engagement on higher order thinking skills in automotive vocational education Ibnu Siswanto; Purwanto Purwanto; Saian Nur Fajri; Ridho Azahar
Jurnal Pendidikan Vokasi Vol. 15 No. 3 (2025)
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.