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How CTML-based instructional video shapes students’ acceptance of asynchronous learning: an integrated TAM-TPB approach Priyanto Priyanto; Ponco Walipranoto; Ahmad Chafid Alwi; Tinesa Fara Prihandini; Arif Ainur Rafiq
Journal of Education and Learning (EduLearn) Vol 20, No 3: August 2026
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v20i3.27368

Abstract

This study examines how the cognitive theory of multimedia learning (CTML)-based content quality shapes students’ acceptance of asynchronous learning within an integrated technology acceptance model (TAM)-theory of planned behavior (TPB) framework. The CTML provides the theoretical foundation for designing instructional videos that minimize cognitive load to enhance learning effectiveness. The proposed model links content quality to perceived usefulness and perceived ease of use, which influence attitude, subjective norm, perceived behavioral control, and behavioral intention. A quantitative approach using structural equation modeling (SEM) with SmartPLS was employed to analyze responses from 258 university students who had experienced asynchronous online learning. The results indicate that content quality significantly impacts perceived ease of use (β=0.589) and perceived usefulness (β=0.316). In turn, perceived usefulness significantly influences attitude (β=0.461) and behavioral intention (β=0.200), while attitude (β=0.171), subjective norm (β=0.381), and perceived behavioral control (β=0.156) also significantly predict behavioral intention. These findings validate the integrated TAM-TPB framework and demonstrate that CTML-based content quality functions as a cognitive antecedent of technology acceptance in higher education.
Cybersickness in virtual reality research: A comprehensive bibliometric review and visualisation Arif Ainur Rafiq; Dwi Sudarno Putra; Mochamad Bruri Triyono; Dian Novian
Jurnal Pendidikan Vokasi Vol. 15 No. 1 (2025)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v15i1.84439

Abstract

Cybersickness has emerged as a critical challenge in the widespread adoption of virtual reality (VR) technologies across education, healthcare, gaming, and training contexts. As research on cybersickness continues to expand rapidly, a comprehensive mapping of its intellectual structure and research trends is needed. This study aims to systematically analyze the global development of cybersickness research in virtual reality through a bibliometric approach. A total of 1,027 journal articles indexed in the Scopus database, published between 1995 and 2024, were retrieved and analyzed. Bibliometric and visualization techniques were applied using VOSviewer and CiteSpace to examine publication growth, citation patterns, influential authors, leading journals, institutional and country contributions, keyword co-occurrence networks, and citation burst trends. The results reveal a substantial increase in cybersickness-related publications over the past decade, indicating growing scholarly attention driven by advances in VR technology and its broader application domains. Research output is dominated by the fields of computer science, medicine, engineering, psychology, and social sciences. The analysis identifies Virtual Reality and IEEE Transactions on Visualization and Computer Graphics as the most productive journals, while authors such as Stephen Palmisano and Behrang Keshavarz emerge as key contributors. Keyword co-occurrence and timeline analyses highlight evolving research themes, including motion sickness, user experience, head-mounted displays, cognition, and VR exposure. Citation burst detection further indicates a recent shift toward user-centered design and mitigation strategies. Overall, this bibliometric review provides a comprehensive overview of the knowledge structure, research hotspots, and emerging trends in cybersickness research. The findings offer valuable insights for researchers, VR developers, and educators, and serve as a foundation for future interdisciplinary studies aimed at improving user comfort and optimizing VR-based applications.
An improved electricity efficiency method based on microcontroller and IoT with infrared sensor Arif Ainur Rafiq; Sugeng Dwi Riyanto; Ratna Wardani
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14889

Abstract

This paper proposes an improved electricity efficiency method using an infrared sensor and internet of things (IoT). Almost all field of human work require electrical energy, especially for household needs. The averages household has many lamps in each room, so if it is not controlled, it will be wasteful of energy. However, this work is carried out to gain a better understanding of a new method for saving energy. The main advantage of this work is the simplification of the sensor used, in which only the infrared sensor required. Although the proposed approach faces numerous challenges, it successfully provides result as parameters that it can be processed rapidly using low-cost microcontrollers. The idea is based on the microcontroller and internet implementation with infrared sensor to monitor the number of people in home to control the lamp light intensity. The idea is proven in two ways: design and experiment. In this paper, the implementation of Raspberry Pi and Arduino is created to monitor the number of people in room and control the lamp intensity through internet or web. Arduino uses for the sensor processing and Raspberry Pi as server. The web is used to display the monitoring result by retrieving data from database that created using MySQL. The result indicates that the electricity bill decreased between 7.7-8.2% over 2 months implementation. The conclusion of this study suggests that the research in this area could be directed toward to be used in saving electricity usage in human life, especially for household.
Rancang Bangun Alat Estimasi Nilai Lumen Lampu Berbasis Internet of Things dengan Aplikasi Android Blynk Feri Ardiansah; Vicky Prasetia; Hera Susanti; Arif Ainur Rafiq; Sugeng Dwi Riyanto
Infotekmesin Vol 17 No 1 (2026): Infotekmesin: Januari 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v17i1.2867

Abstract

The development of lighting technology, particularly LED lamps, drives the need for light intensity testing (lumen) to ensure quality and energy efficiency. The SNI IEC 62612:2016 standard establishes testing parameters that must be met, but field testing processes are still largely manual and inefficient. This research aims to design and realize an Internet of Things (IoT)-based lamp lumen value testing tool with results displayed on an Android application as a practical and automated solution. The tool is designed according to the SNI IEC 62612:2016 standard, equipped with a BH1750 sensor to measure light intensity (lux), a PZEM-004T sensor to measure voltage and current, and an MLX90614 sensor to measure lamp surface temperature. The testing process is performed automatically using a NodeMCU ESP32 microcontroller, with measurement results displayed on a 20x4 LCD and transmitted to the Blynk application on Android in real-time. Testing on 16 LED lamp samples from various brands and powers showed that the system has high accuracy with average BH1750 sensor accuracy of 98.78%, MLX90614 sensor accuracy of 99.74%, PZEM-004T sensor accuracy for voltage of 99.9% and current 100%, as well as error-free data transmission to Android applications. This tool successfully performs lumen testing automatically, accurately, and efficiently according to national standards.
Analisis Performa Sistem Monitoring IoT Pada Pengujian Switch Cycle Lampu LED Dimas Tri Herfiantoro; Vicky Prasetia; Hera Susanti; Muhamad Yusuf; Sugeng Dwi Riyanto; Arif Ainur Rafiq
Infotekmesin Vol 17 No 2 (2026): Infotekmesin: Juli 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/

Abstract

Lamps have a limited lifetime and may experience performance degradation due to repeated on–off operations (switch cycles). However, most developed testing devices are still focused on recording the number of cycles without integrating real-time monitoring of electrical and temperature parameters within a single Internet of Things (IoT)-based system. This research aims to design and develop an IoT-based lamp switch cycle testing device connected to an Android application through the Blynk platform. The developed system uses an LDR sensor for light detection, a PZEM-004T sensor for measuring voltage, current, and power, and an MLX90614 sensor for temperature monitoring. The ESP32 microcontroller acts as the main control and data communication unit. The tested parameters include switching cycles, temperature, voltage, current, and power, which can be monitored in real-time through an LCD and the Blynk application. The test results show that the 5 W LED lamp achieved 192,395 cycles with an average temperature of 37.5°C, voltage of 221.5 V, current of 0.018 A, and power of 4.03 W. The 9 W TL LED lamp reached 226,039 cycles with a temperature of 31°C, voltage of 221.7 V, current of 0.031 A, and power of 6.64 W. The system is equipped with electrical protection features and an automatic reset mechanism, enabling safe and continuous testing. This research provides an integrated system for evaluating lamp durability and performance characteristics through real-time monitoring of switch cycles, electrical parameters, and temperature.