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

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Pelatihan Teknik Fotografi Produk Berbasis Low-Cost Equipment untuk Mendukung Pemasaran Digital UMKM Desa Kroya Solichah Larasati; Indah Permatasari; Gusnita Linda
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.v6i2.11141

Abstract

Small and Medium Enterprises (SMEs) in Kroya Village have considerable product potential; however, they still face challenges in digital marketing, particularly in terms of product photo visual quality. The main issues include limited product photography skills and the perception that producing attractive product photos requires expensive equipment. This community service program aims to enhance the capacity of MSME actors in Kroya Village to produce visually appropriate product photos through training in product photography techniques using low-cost equipment. The program employed a participatory and applicative approach, including problem identification, learning-by-doing training sessions, as well as mentoring and evaluation. The training involved 30 MSME participants and utilized simple equipment such as product photo boxes and LED lighting. The results indicate an improvement in product photo quality in terms of lighting, object sharpness, composition, and background suitability, making the photos more suitable for digital marketing purposes. This program contributes to strengthening MSME independence in managing visual marketing content.
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 Gusnita Linda Prasetyo Yuliantoro Solichah Larasati