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The effectiveness of content based on dynamic intellectual learning with visual modality in vocational school Ketut Agustini; I Gede Parta Sindu; Kadek Angga Kusuma
Jurnal Pendidikan Vokasi Vol. 9 No. 1 (2019)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1225.39 KB) | DOI: 10.21831/jpv.v9i1.21629

Abstract

E-learning generally presented the same learning material because it considered the characteristics of all users to be homogeneous. In fact, every student had different characteristics in the learning process. The objectives of this study were: (1) To produce a simulation content and digital communication based on  Dynamic Intellectual Learning with Visual Modality for the tenth grade at SMK Negeri 1 Seririt, (2) To find out the teacher's response and the tenth grade students at SMK Negeri 1 Seririt on Simulation Content and Digital Communication based on DIL with Visual Modality that had been generated. The method of this study was a research and development referred to the plomp model. The subjects of this study were the tenth grade of accounting program at SMK Negeri 1 Seririt in the academic year 2017/2018. There were various try out had been carried out, namely: validity testing by experts and effectiveness testing by using the Hake formula. The results showed that the simulation content and digital communication based on DIL with Visual Modality was valid and practically use: the effectiveness testing produced N-gain of 0.74 included in the effective category and the data analysis of the teacher and the students respond showed that it was categorized in the positive category. It showed that the output was valid, practical and effective to be used.
DEVELOPMENT OF AN IOT-ENABLED MYOELECTRIC SIGNAL MONITORING SYSTEM AS AN INTERACTIVE INSTRUCTIONAL TOOL FOR ELECTRICAL ENGINEERING EDUCATION I Gede Made Surya Bumi Pracasitaram; I Gede Parta Sindu; I Putu Suka Arsa
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 5 No. 2 (2026): Mei
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/storage.v5i2.8100

Abstract

This study discusses the development of an Internet of Things (IoT)-based myoelectric signal monitoring system using Electromyography (EMG) as an interactive learning medium in biomedical instrumentation education. The proposed system utilizes an EMG sensor to capture muscle activity signals, while an ESP8266 microcontroller transmits the acquired data in real time to the Blynk platform for visualization and monitoring purposes. Experimental results demonstrate that the system operates properly and exhibits a strong linear response between load variation and EMG signal voltage. Validation conducted by media experts and testing involving university students indicate that the developed learning media is highly feasible for educational use, achieving an average feasibility score above 90% and a usability score of 71.5 out of 75. Despite these positive results, several improvements are recommended for future development. These include enhancing electrode quality and adding shielding to the sensor cables to minimize electromagnetic interference. Furthermore, future studies may integrate data logging features for long-term analysis and implement machine learning algorithms for automatic muscle activity pattern classification. The integration of these features is expected to improve the functionality and applicability of the proposed system in engineering and biomedical education.