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All Journal Amalee: Indonesian Journal of Community Research & Engagement Majalah Ilmiah Teknologi Elektro
Kevin Philip
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Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Public Health Social Sciences Other

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Perancangan Robot Mainan Pintar Berbasis Sensor dan Teknologi Machine Learning Issabelle M. Merry; Made R. D. Prabawa; Kevin Philip; Patrick Andreas Limbong; I Putu E. Duta Nugraha; Widyadi Setiawan
Jurnal Teknologi Elektro Vol 23 No 1 (2024): (Januari - Juni ) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2024.v23i01.P09

Abstract

This research aims to explore the potential of a smart toy robot in supporting the development of early childhood in the continuously evolving digital era. Evaluation is conducted through a series of tests including image classification testing, omnidirectional movement testing, as well as training and testing of sound classification models. Image classification testing is performed to assess the face detection ability at varying distances, where accuracy presentation is quantitatively measured. The test results indicate that the robot is capable of detecting faces with an average accuracy rate of 82.6% at a distance of 10 cm and 79.4% at a distance of 50 cm. Omnidirectional movement testing shows an average error rate of 1.2% with the highest variation in the direction of 90° at -5.33%. Meanwhile, training and testing of sound classification models yield a validation accuracy of 83.4% in identifying specific sounds. Technically, this robot effectively detects faces at different distances, performs omnidirectional movements with high precision, and identifies various sounds with good accuracy. The outcome of this research is the development of a smart toy robot that can serve as an educational tool and stimulation for the development of early childhood. The novelty of this research lies in the comprehensive integration of technology in solutions for children's development in the digital era. Thus, this study provides a significant contribution to understanding and utilizing technology for children's education more effectively and efficiently in this ever-changing era. Keywords– robot; smart toy; machine learning; toddler motoric skills.
Pelatihan Agrowisata Berbasis Komunitas untuk Pemberdayaan Perempuan dan Pemuda di Nagari Aia Dingin, Kabupaten Solok Rusta, Andri; Asrinaldi; Tengku Rika Valentina; Kevin Philip; Pijar Qolbun Sallim
Amalee: Indonesian Journal of Community Research and Engagement Vol. 6 No. 2 (2025): Amalee: Indonesian Journal of Community Research and Engagement
Publisher : LP2M INSURI Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/amalee.v6i2.8515

Abstract

Nagari Aia Dingin, Solok Regency, has excellent agrotourism assets (Arabica coffee, horticulture, buffalo curd with intellectual property rights) but faces obstacles in the form of low human resource capacity and product processing standardization. This initiative aims to enhance the capacity of youth and the Women Farmers Group (KWT) through certified BNSP barista Training of Trainers (ToT), diversification of frozen horticultural products, and strengthening hygienic cheese production. The program integrates Participatory Action Research (PAR) for inclusive collaboration and Theory of Change (ToC) as a logical framework. Evaluation uses a Pre-Experimental Pre-Post Test design on 44 participants (24 youth and 20 KWT), supplemented by observation and FGD. The program's implementation successfully enhanced human resource capacity and infrastructure. Pre-post test results showed an average increase of 48% in technical knowledge and 110% in practical skills among the barista youth group. Vital infrastructure support (barista and frozen food equipment) from PT. PLN UID West Sumatra facilitated the adoption of technology. Socio-economically, the program successfully created BNSP-certified trainers and empowered KWT in processing value-added products, contributing to the achievement of SDGs 5 and 8. The integration of PAR and ToC proved effective in facilitating technology transfer and capacity building in a participatory manner, resulting in a dual impact: potential income growth and the strengthening of local cultural identity. This model is recommended as an adaptive replication model; however, longitudinal studies are necessary to analyze the long-term impacts.
Co-Authors Andri Rusta Asrinaldi Asrinaldi I Putu E. Duta Nugraha Issabelle M. Merry Made R. D. Prabawa Patrick Andreas Limbong Pijar Qolbun Sallim Tengku Rika Valentina Widyadi Setiawan