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All Journal Phinisi Integration Review Community Engagement and Emergence Journal (CEEJ) Journal of Embedded Systems, Security and Intelligent Systems
Wulan Purnamasari
Universitas Negeri Makassar
Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Health Professions Social Sciences Other

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Journal : Journal of Embedded Systems, Security and Intelligent Systems

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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%.
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.
Co-Authors A. Amiruddin Tawe A. M. Alief Akbar Akmal Hidayat Andi Tenri Ampa Ika Wisudawaty M. Miftach Fakhri Rahmatullah SATRIYAS ILYAS Sutasih Suhaeb Wahyudi