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All Journal El-Mujtama: Jurnal Pengabdian Masyarakat Smatika Jurnal : STIKI Informatika Jurnal
Prasetyo Yuliantoro
Telkom University
Religion Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

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Pendampingan Pemanfaatan Spreadsheet dan Looker Studio sebagai Buku Penghubung Digital di PAUD Zein Hanni Pradana; Prasetyo Yuliantoro; Solichah Larasati
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 6 No. 2 (2026): El-Mujtama: Jurnal Pengabdian Masyarakat 
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v6i2.11124

Abstract

Communication between teachers and parents plays an important role in supporting early childhood education (ECE). However, at Hompimpaa Playschool, the communication medium used in the form of PDF-based liaison books has created several challenges, including time-consuming report preparation, static content, and difficulties in organizing and tracking children’s development records over time. This community service program aimed to assist the implementation of spreadsheets and Looker Studio as a more dynamic, efficient, and accessible digital liaison book. The program was conducted using a participatory mentoring and training approach through three face-to-face sessions, consisting of needs identification, core system training, and implementation assistance with evaluation. Teachers were guided to perform centralized data entry using spreadsheets, while parents were facilitated to monitor children’s development through a Looker Studio dashboard that can be filtered by date. The results indicate a shift in teachers’ workflow from preparing static PDF reports to a simpler and more structured data input process, as well as improved accessibility of information for parents without the need to repeatedly download report files. In addition, a practical user guide module was developed to support program sustainability. This activity demonstrates that the application of simple digital technologies, when accompanied by proper mentoring, can enhance teacher–parent communication, reduce teachers’ administrative workload, and has the potential to be replicated in other early childhood education institutions facing similar challenges.
Implementasi Teknologi Pengusir Burung Otomatis untuk Petani Padi Desa Muntang Muhammad Panji; Nur Afifah Zen; Prasetyo Yuliantoro; Shinta Romadhona; Dodi Zulherman
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 6 No. 2 (2026): El-Mujtama: Jurnal Pengabdian Masyarakat 
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v6i2.11424

Abstract

Farmers in Muntang Village, Kemangkon, Purbalingga, face substantial crop losses due to bird attacks during the ripening stage of rice cultivation. Conventional deterrents such as scarecrows and hanging cans have become ineffective as birds have adapted to their static nature. This community engagement initiative implements an automatic, solar-powered bird-repellent system combining ultrasonic sensors, servo-driven mechanical noise elements, and electronic buzzers. The stages included system design, component procurement, device assembly, field installation, farmer training, and performance evaluation. Two units were successfully deployed in the rice fields, demonstrating effective responses to bird movement. More than twenty farmers participated in hands-on training and increased their understanding of appropriate agricultural technology. Initial field observations indicated reduced bird intrusion, improved crop protection, and enhanced labor efficiency. This initiative contributes to food security at the village level and supports the adoption of simple smart-farming innovations in rural agricultural settings.
YOLOv11-Based AIoT System for Automated Size Detection and Counting of G0 Seed Potatoes Using MQTT Protocol Alvandi Fredik Sembiring; Indah Permatasari; Prasetyo Yuliantoro
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 02 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i02.2336

Abstract

The increasing demand for G0 seed potatoes in Indonesia, reaching approximately 143,740 tons in 2021 while only 8.6% of the demand could be supplied, highlights the need for more efficient production and monitoring systems at the early stage of the potato seed supply chain. Current manual sorting and counting processes are labor-intensive, time-consuming, and prone to human error, creating a need for an automated and reliable monitoring solution. This study develops and implements an Artificial Intelligence of Things (AIoT) system based on the YOLOv11n object detection algorithm for real-time detection, size classification, and counting of G0 seed potatoes. The proposed system integrates a conveyor belt, a Logitech C922 Pro USB webcam for image acquisition, and a laptop as the edge computing unit running the YOLOv11n model. Detection results are transmitted through the MQTT protocol to a Node-RED dashboard for real-time remote monitoring. Unlike conventional approaches, the system combines a lightweight YOLOv11n model with MQTT communication to support simultaneous multi-category size classification and synchronized dashboard visualization. Detected potatoes are classified into three size categories (small, medium, and large) based on calibrated bounding-box pixel areas validated with potato farmers. The model was trained and evaluated using four epoch configurations (25, 50, 75, and 100 epochs) with Precision, Recall, F1-score, mAP@0.5, and mAP@0.5–0.95 as evaluation metrics. The 100-epoch model achieved the best performance, with precision approaching 1.00, recall of approximately 0.98, mAP@0.5 of 0.986, and mAP@0.5–0.95 of 0.96. Validation confirmed that calibrated geometric measurements matched the physical potato dimensions, while dashboard data were fully consistent with edge-computing outputs. These findings demonstrate that the proposed YOLOv11n-based AIoT system provides accurate, reliable, and real-time monitoring of G0 potato production, offering a practical solution to improve operational efficiency and data accuracy in Indonesia's potato seed supply chain.
Co-Authors Alvandi Fredik Sembiring Dodi Zulherman Indah Permatasari Muhammad Panji Shinta Romadhona Solichah Larasati Zein Hanni Pradana Zen, Nur Afifah