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Implementing IoT-Based Smart Garden System at SMP Al Izhar: Menerapkan Sistem Taman Pintar Berbasis IoT di SMP Al Izhar Yosy Rahmawati; Achmad Zuchriadi; Ni Putu Devira Ayu Martini; Ayu Mika Sherila
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11246

Abstract

General Background: The integration of Internet of Things (IoT) technology in agriculture presents new opportunities for sustainable practices and hands-on education. Specific Background: However, its implementation in junior high school curricula, particularly as a practical environmental learning tool, remains limited. Knowledge Gap: Most schools lack access to real-world IoT-based applications that foster student engagement with digital literacy and environmental awareness simultaneously. Aims: This study aimed to design and implement an IoT-based Smart Garden system for automatic irrigation and lighting at SMP Al Izhar Pondok Labu, while evaluating its educational and technological impacts. Results: The program involved 50 participants who built functional Smart Garden prototypes using sensors and microcontrollers, resulting in significant gains in STEM motivation (+1.1), understanding of IoT (+1.2), and its application in agriculture (+1.2). Novelty: The innovation lies in integrating project-based learning with low-cost IoT hardware to create a replicable educational model that combines STEM skills, environmental education, and digital literacy. Implications: The success of this initiative highlights the potential of IoT-enhanced environmental projects to enrich school-based learning, strengthen 21st-century competencies, and inspire broader adoption of smart, sustainable practices in education.Highlight : The program introduced IoT-based Smart Garden systems to junior high school students through hands-on workshops, fostering practical STEM skills. Students showed a 25% increase in understanding and motivation, based on pre- and post-test assessments, highlighting educational impact. The initiative provides a replicable model for integrating environmental and digital literacy in school curricula, promoting sustainability. Keywords : Automatic Irrigation, Environmental Sustainability, Internet of Things (IoT), Smart Garden, STEM Education
Education on the Application of Electrical Technology Through Creative Learning Projects: Pendidikan tentang Penerapan Teknologi Listrik Melalui Proyek Pembelajaran Kreatif Ayu Mika Sherila; Ni Putu Devira Ayu Martini; Achmad Zuchriadi; Yosy Rahmawati
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11723

Abstract

General Background: The rapid advancement of technology demands innovative approaches in education to equip students with essential STEM competencies. Specific Background: In Indonesia, high school learning of electrical engineering is still dominated by theoretical instruction with limited opportunities for hands-on practice, resulting in low engagement and inadequate technical skill development. Knowledge Gap: Few initiatives integrate real-world electrical engineering applications into secondary education through creative, project-based learning. Aim: This study reports on the implementation and evaluation of a creative learning outreach program conducted by Universitas Pembangunan Nasional Veteran Jakarta at SMA Negeri 66 Jakarta, designed to enhance students’ understanding of electrical technology. Results: The program engaged 72 students through three interactive modules: portable solar power storage, a mechatronic sumo robot, and IoT-based drowsiness detection glasses. Evaluation results showed a 28% increase in interest toward STEM careers, a 35% improvement in conceptual understanding, and positive perceptions of program delivery. Novelty: Unlike conventional lectures, this initiative combined project-based learning with real-world prototypes, directly linking theory with application and fostering creativity, collaboration, and problem-solving. Implications: These findings highlight the value of integrating interactive, technology-driven projects into secondary education, offering a scalable model for strengthening STEM literacy and preparing future engineers.Highlight : Hands-on modules (solar power, sumo robot, IoT glasses) increased student engagement. Survey showed 28% higher STEM interest and 35% better understanding of technology. Program effectively connected theory with real-world applications in electrical engineering. Keywords : Education, Creative Learning Project, Electrical Technology, Project-Based Learning, STEM
Real-time color-based sorting and counting system for plastic bottle caps using esp32 and tcs3200 sensor Andre Suwardana Adiwidya; Achmad Zuchriadi; Sargi Ginting; Silvia Angraeni
Jurnal Mantik Vol. 10 No. 2 (2026): August : Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v10i2.7305

Abstract

Plastic waste has become a major environmental issue due to its increasing generation and the limited effectiveness of waste management systems. In recycling activities, sorting plastic materials by color is essential because it influences both the quality and economic value of recycled products. However, plastic bottle caps in waste banks and small-scale recycling facilities are still commonly sorted manually, making the process labor-intensive, time-consuming, and often inconsistent. This study presents an embedded system for real-time sorting and counting of plastic bottle caps based on color using an ESP32 microcontroller and a TCS3200 color sensor. The developed system integrates a conveyor mechanism, five servo motors, five infrared sensors, and a 16×2 LCD functioning as a human–machine interface. Plastic bottle caps were classified into five color categories: red, yellow, green, blue, and white. System performance was evaluated through 500 integrated experimental trials, with each color category tested 100 times. During each trial, color detection, object sorting, counting, and data visualization were performed simultaneously. The TCS3200 sensor correctly identified 487 out of 500 samples, resulting in an average accuracy of 97.4%. No counting errors were observed during the experiments, yielding 100% accuracy for the infrared-based counting system, while all servo actuations operated successfully throughout the testing process. The counting values displayed on the LCD were fully consistent with the readings obtained from the infrared sensors. These findings indicate that low-cost embedded components can be effectively integrated to support automated sorting and counting applications. The developed system offers a practical solution for waste banks and small-scale recycling facilities and may contribute to improving operational efficiency and promoting sustainable plastic waste management