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All Journal Indonesia Berdaya Innovation in Research of Informatics (INNOVATICS)
Rahmawan, Jihad
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Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Empowerment of Cassava Leaf Silkworm Cultivation Groups Through Processing of Ceara Rubber Tree (Manihot Glaziovii) as Local Food Potential Subrata, Arsyad Cahya; Ibdal, Ibdal; Sudarmini, Sudarmini; Suharto, Totok Eka; Putranti, Deslaely; Rahmawan, Jihad; Aska, Ghoniyun Nisa Uskhulil; Hidayah, Laelatul
Indonesia Berdaya Vol 6, No 3 (2025)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.20251170

Abstract

Food security has become an increasingly urgent global issue as the impact of climate change and the global food crisis intensify. Indonesia, as an agrarian country, has great potential to strengthen its food system to be self-sufficient and sustainable, one of which is through the empowerment of local farmer groups. This article discusses efforts to enhance food security through agricultural product diversification by leveraging untapped local potential, specifically the processing of rubber tree (Manihot glaziovii) tuber skins. Empowerment activities were conducted with the Sutra Alam Gunung Sewu group in Gunungkidul Regency, DIY, which had previously only utilized the plant's leaves as silkworm feed. The tubers and bark of this tree, which are nutrient-rich but contain high levels of cyanide acid, have the potential to be developed as an alternative food source if processed properly. The empowerment program was implemented to enhance the group's capacity to process the tuber bark into useful products. Evaluation was conducted using pre-test and post-test instruments to measure improvements in members' knowledge and skills. The results showed a 120% increase in general knowledge and an 84% increase in understanding of information regarding the potential of local food and the processing of risky materials into safe consumption. This initiative contributes to food diversification and the economic empowerment of local communities in supporting national food security.
Automated Identification of Oil Palm’s 17th Leaf Using YOLOv12 and Spatial Positioning Rahmawan, Jihad; Yuliansyah, Herman; Yudhana, Anton; Irfan, Syahid Al
Innovation in Research of Informatics (Innovatics) Vol 7, No 2 (2025): September 2025
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v7i2.15766

Abstract

This study proposes an artificial intelligence–based approach for automatic identification of the 17th leaf in oil-palm trees (Elaeis guineensis), which serves as a key physiological indicator for nutrient monitoring. The method integrates YOLOv12 object detection with a spatial-positioning algorithm that estimates leaf order through vertical sorting of detected fronds. A total of 1,250 annotated field images were collected from farmer-recorded videos to train and evaluate the system. The proposed model achieved a mean average precision (mAP@0.5) of 92.4% and an average positional error of 10.6 pixels in locating the 17th leaf. Compared with manual identification that requires 3–5 minutes per tree, the automated system performs the entire process in under 15 seconds, providing over 95% time efficiency improvement. This work demonstrates a novel fusion of real-time deep-learning detection and spatial reasoning for nutrient-focused precision agriculture and establishes a practical foundation for scalable, automated leaf indexing in plantation management.
Co-Authors Anton Yudhana Aska, Ghoniyun Nisa Uskhulil Deslaely Putranti Herman Yuliansyah, Herman Hidayah, Laelatul Ibdal, Ibdal Irfan, Syahid Al Subrata, Arsyad Cahya Sudarmini Sudarmini, Sudarmini Totok Eka Suharto