Design Of Microcontroller Trainer Based On Internet Of Things (IoT)

The rapid advancement of technology, particularly in the industrial sector, necessitates innovative educational tools to enhance students' practical skills. One crucial aspect of technical education is microcontroller programming, which is fundamental in the development of automation and IoT-based systems. However, conventional learning methods, which rely heavily on theoretical instruction and simulations, present challenges in understanding abstract microcontroller programming concepts. This study aims to design and develop an Internet of Things (IoT)-based microcontroller trainer to support practical learning for students at SMK Negeri 1 Bukittinggi. The research follows the Research and Development (R&D) approach using the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The study includes needs analysis, prototype design using simulation tools, hardware development, validation by experts, and a practicality test involving students. Validation results indicate that media experts rated the trainer at 93.08%, while material experts provided an average rating of 83.85%, categorizing the trainer as highly valid. Furthermore, student practicality tests resulted in a 90.36% feasibility score, confirming the trainer's effectiveness in enhancing students' understanding of microcontroller programming. These findings suggest that the developed IoT-based microcontroller trainer is a viable educational tool that aligns with industry demands and modern learning methodologies. Keywords—, Internet of Things, Vocational Education, ADDIE Model, Practical Learning.

Authors

Institutions

Publication Details

Journal
AT-TAKLIM Jurnal Pendidikan Multidisiplin
Published
2025-02-12
DOI
https://doi.org/10.71282/at-taklim.v2i2.137
Citations
1
Primary Topic
IoT-based Control Systems
Type
article
Field-Weighted Citation Impact
1.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design Of Microcontroller Trainer Based On Internet Of Things (IoT)

Hendra Hidayat, Alifia Putri Harkha
1 citations
AT-TAKLIM Jurnal Pendidikan Multidisiplin
IoT-based Control Systems
1.69
article

Design Of Microcontroller Trainer Based On Internet Of Things (IoT)

Hendra Hidayat, Alifia Putri Harkha
article en
1 citations

Abstract

The rapid advancement of technology, particularly in the industrial sector, necessitates innovative educational tools to enhance students' practical skills. One crucial aspect of technical education is microcontroller programming, which is fundamental in the development of automation and IoT-based systems. However, conventional learning methods, which rely heavily on theoretical instruction and simulations, present challenges in understanding abstract microcontroller programming concepts. This study aims to design and develop an Internet of Things (IoT)-based microcontroller trainer to support practical learning for students at SMK Negeri 1 Bukittinggi. The research follows the Research and Development (R&D) approach using the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The study includes needs analysis, prototype design using simulation tools, hardware development, validation by experts, and a practicality test involving students. Validation results indicate that media experts rated the trainer at 93.08%, while material experts provided an average rating of 83.85%, categorizing the trainer as highly valid. Furthermore, student practicality tests resulted in a 90.36% feasibility score, confirming the trainer's effectiveness in enhancing students' understanding of microcontroller programming. These findings suggest that the developed IoT-based microcontroller trainer is a viable educational tool that aligns with industry demands and modern learning methodologies. Keywords—, Internet of Things, Vocational Education, ADDIE Model, Practical Learning.

AT-TAKLIM Jurnal Pendidikan MultidisiplinVol. 2(2)
State University of Padang (ID)
Openalex Percentile: Top 16%
IoT-based Control Systems
1.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.