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All Journal Journal of Embedded Systems, Security and Intelligent Systems Prosiding Seminar Nasional Dies Natalis Universitas Negeri Makassar
Wahyudi
Universitas Negeri Makassar
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Journal : Journal of Embedded Systems, Security and Intelligent Systems

 1 
Penerapan Machine Learning Pada Mikrokontroler Arduino Mega PRO MINI ATmega2560-16AU Wahyudi; Wulan Purnamasari; Akmal Hidayat; M. Miftach Fakhri
Journal of Embedded Systems, Security and Intelligent Systems Vol 3, No 1 (2022): May 2022
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan Teknologi Informasi dan Komunikasi (TIK) telah mempengaruhi semua aspek yang ada, seperti aspek ekonomi, budaya, politik, sosial, pertahanan keamanan, pekerjaan rumah tangga bahkan dunia pendidikan sekalipun. Perkembangan tersebut banyak berkembang di era industri 4.0 saat ini mulai dari Internet of Things (IoT), Big Data, Argumented Reality, Cyber Security, Artifical Intelegence, Addictive Manufacturing, Simulation, System Integeration dan Cloud Computing. Salah satu perkembangan teknologi yang sangat berkembang saat ini yaitu machine learning atau pembelajaran mesin. Pada penelitian ini berfokus pada metode algoritma K-NN dan sensor warna TCS3200. Pada penelitian yang dilakukan oleh penulis ini menggunaka sensor warna TCS3200 dan Arduino mega 2560 pro mini sebagai perangkat keras yang digunakan. Penelitian ini bertujuan mendeskripsikan penerapan machine learning pada mikrokontroler arduino mega pro mini ATmega2560. Penelitian ini menggunakan metode studi pustaka atau library research dengan berbagai teknik pengumpulan data, selanjutnya melakukan pengujian untuk mengetahui kinerja sistem. Setelah dilakukan pengujian dilakukan analisa untuk mendapatkan kesimpulan akhir dari proses penelitian. setelah dilakukan pengujian sebanyak 20 kali dengan menempelkan pada objek, sistem ini bisa menginisialisasi warna dengan tepat. Dari hasil pengujian algoritma KNN dihasilkan akurasi tertinggi terdapat pada K=5, dimana nilai akurasi yang didapatkan adalah 80%. Sedangkan akurasi terendah terdapat pada k=9, dimana nilai akurasi yang didapatkan hanya 10%.
The Role of the Use of IoT (Internet of Things) Microcontrollers in the Electronics vocational education sector in Practicum Learning Wahyudi; Muhammad Yahya
Journal of Embedded Systems, Security and Intelligent Systems Vol 4, No 2 (2023): November 2023
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v4i2.921

Abstract

The Internet of Things (IoT) has emerged as a transformative force in various industries, and its application in the field of electronics education has the potential to revolutionize practical learning experiences. This research explores the important role of IoT microcontrollers in the vocational education sector, particularly in electronics, to enhance hands-on learning during practical sessions. This research investigates the integration of IoT microcontrollers into the curriculum of electronics vocational education programs, aiming to assess their impact on student engagement, skill development, and overall learning outcomes. Through a combination of qualitative and quantitative research methods, this study evaluates the effectiveness of incorporating IoT microcontrollers in practical exercises, comparing traditional methods with IoT-enhanced approaches. The findings of this study contribute valuable insights in the optimization of practical learning experiences in electronics vocational education.
Analysis of The Effectiveness of Unity-Based Vor Learning at Aviation Polytechnic Makassar Djunaedi; Wahyudi
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.2209

Abstract

The application of augmented reality (AR) technology in aviation education has become an interesting topic in an effort to improve learning effectiveness. This study aims to analyze the effectiveness of augmented reality-based Very High Frequency Omni Directional Range (VOR) learning at Makassar Aviation Polytechnic. The research method used is a pseudo-experiment with a pre-test post-test control group design. The research subjects consisted of two groups, namely the experimental group using AR-based learning and the control group using conventional methods. Data collection was done through cognitive tests and questionnaires of cadets' perceptions of learning. Data analysis was conducted using t-test to compare cognitive test results between experimental and control groups, as well as descriptive analysis to describe cadets' perceptions of learning. The results showed that augmented reality-based VOR learning is effective in improving cadets' understanding of concepts and skills compared to conventional methods. In addition, cadets' perceptions of AR-based learning were generally positive, indicating a good acceptance of the use of such technology in the context of flight learning. These findings make an important contribution to the development of innovative and effective learning methods in aviation education institutions, and provide direction for further development in the integration of AR technology in education.
IoT-Based Automatic Sprinkler Innovation to Support Environmental Economic Sustainability in Tourism Aisles: English Wahyudi; Sutasih Suhaeb; Wulan Purnamasari
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 3 (2024): November 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i3.5564

Abstract

Environmental management in Lorong Wisata requires innovative approaches to support economic and ecological sustainability. This research aims to design and implement an Internet of Things (IoT)-based automatic watering system to improve efficiency in plant management in the area. The system is designed using soil moisture sensors, microcontrollers, and an IoT platform to automate the watering process according to the needs of plants in real-time. Data collected from the sensors is integrated with web-based and mobile applications, enabling remote monitoring and control. Trial results showed that the system was able to optimise water usage by 30% compared to manual methods, while increasing plant growth by 20% in a three-month observation period. In addition, the solution supports local community participation with technical training, creating new economic opportunities through productive crop cultivation. This innovation is expected to become a sustainability model that can be replicated in other regions, integrating IoT technology in supporting resource efficiency, community empowerment, and environmental conservation. This research concludes that the application of IoT technology in community-based environmental management can accelerate the achievement of economic and ecological sustainability goals in tourist areas.
Development of AI and IoT Based Microcontroller Simulator to Improve 4C Skills in learning Wahyudi; Ahmad Risal; Muhammad Romario Basirung
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 1 (2025): March 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i1.7481

Abstract

The development of digital technology demands mastery of 21st century skills, particularly the 4Cs (Critical Thinking, Creativity, Collaboration, Communication). However, conventional microcontroller learning is often limited to technical aspects without training these skills. This research aims to develop a microcontroller simulator based on AI (Artificial Intelligence) and IoT (Internet of Things) as an interactive media to improve 4C skills in digital technology learning. The research method uses a Research and Development (R&D) approach with the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation). The simulator is designed with machine learning integration for learning difficulty adaptation and IoT for cloud-based project simulation. Validation was conducted through expert tests (pedagogy, AI, and embedded systems experts) and field trials on engineering students with questionnaire instruments, observations, and 4C skills tests. The results of the developed Simulator are proven to improve the understanding of microcontroller concepts while training 4C skills, with the following results: 1) Critical Thinking: Participants were able to analyse problems 25% faster through AI-based case simulation. 2) Creativity: There was a 30% increase in the variety of IoT project solutions generated. and 3) Collaboration & Communication: Teamwork effectiveness improved based on the collaboration rubric assessment. The implications of this research can be applied in technical education curriculum, vocational training, or STEM/STEAM development.
Co-Authors Ahmad Risal Akmal Hidayat Djunaedi M. Miftach Fakhri Muhammad Romario Basirung Muhammad Yahya Sutasih Suhaeb Wulan Purnamasari