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All Journal Journal Industrial Servicess Prosiding Semnastek Infotech Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) IKRA-ITH Informatika : Jurnal Komputer dan Informatika JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) PROCEEDING STIMA MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Komputasi dan Teknologi Informasi IJISTECH (International Journal Of Information System & Technology) Jurnal Teknik Elektro dan Komputer TRIAC Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat IJISTECH International Journal of Community Service Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Industrial Research Workshop and National Seminar Journal of Mechanical and Manufacture J-ENSITEC (Journal of Engineering and Sustainable Technology) Metris: Jurnal Sains dan Teknologi Jurnal Informatika: Jurnal Pengembangan IT SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Dony Susandi
Universitas Majalengka
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Optimized YOLOv8 Model for Accurate Detection and Quantificationof Mango Flowers Ardi Mardiana; Ade Bastian; Ano Tarsono; Dony Susandi; Safari Yonasi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 24 No. 3 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i3.4614

Abstract

Mangoes are widely cultivated and hold significant economic value worldwide. However, challenges in mango cultivation, such as inconsistent flowering patterns and manual yield estimation, hinder optimal agricultural productivity. This study addresses these issues by leveraging the You Only Look Once (YOLO) version 8 object detection technique to automatically recognize and quantify mango flowers using image processing. This research aims to develop an automated method for detecting and estimating mango yields based on flower density, representing the early stage of the plant growth cycle. The methodology involves utilizing YOLOv8 object detection and image processing techniques. A dataset of mango tree images was collected and used to train a CNN-based YOLOv8 model, incorporating image augmentation and transfer learning to improve detection accuracy under varying lighting and environmental conditions. The results demonstrate the model’s effectiveness, achieving an average mAP score of 0.853, significantly improving accuracy and efficiency compared to traditional detection methods. The findings suggest that automating mango flower detection can enhance precision agriculture practices by reducing reliance on manual labor, improving yield prediction accuracy, and streamlining monitoring techniques. In conclusion, this study contributes to the advancement of precision agriculture through innovative approaches to flower detection and yield estimation at early growth stages. Future research directions include integrating multispectral imaging and drone-based monitoring systems to optimize model performance further and expand its applications in digital agriculture.
Optimizing Supply Chain Management and Stakeholder Collaboration to Increase the Export Potential of Gedong Gincu Mangoes Dony Susandi; M. Yani Syafei; Herman S. Soegoto
Jurnal Penelitian Pendidikan IPA Vol 11 No 3 (2025): March
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i3.10412

Abstract

Gincu Mango as one of the superior varieties of fruit products in Indonesia shows high export potential. Although the export potential is very large, it is inversely proportional to export performance caused by limitations in the supply chain and stakeholder collaboration. This study aims to analyze strategies for improving supply chain management and stakeholder collaboration to increase the export potential of Gedong Gincu mango. This study uses a causal research methodology through the Structural Equation Modeling - Partial Least Squares (SEM-PLS) approach. This method was chosen because of its ability to examine complex relationships between latent variables and its efficiency in handling data with small sample sizes. A survey was conducted to collect data from 100 stakeholders involved in the distribution of Gedong Gincu mango. The results of the study indicate that collaboration between farmers, government agencies, and traders is essential to increasing export activities. One of the key factors found is the importance of accelerating the registration of gardens and packing houses as part of the technical requirements for export, which serve as important technical requirements for export readiness. Furthermore, effective supply chain management shows the capacity to improve coordination and optimize distribution efficiency. However, statistical analysis revealed that the impact of Supply Chain Management on stakeholder collaboration is minimal, although it does affect exports. This study underlines the importance of improving post-harvest infrastructure, educating farmers on export standards, and strengthening strategic partnerships in the supply chain to improve the competitiveness of Gedong Gincu mangoes in the global market
Co-Authors Aas Nuraisah Abdul Chaliq Abdurahman, Dede Aceng Kusaeri Ade Bastian Agus Alamsyah Perwiranegara, Agus Alamsyah Alan Maulana Sidik Ali Sadikin Ano Tarsono Ardi Mardiana Ardi Mardiana Ariandoyo, Dodi Arief Rijaluddin Asep Rachmat Asep Rachmat, Asep Ayu Sunengsih Budiman Dadan Agus Hermawan Dadan Agus Hermawan Dadan Zaliluddin Damaputra, M Kitabika Dede Abdurrahman Dede Maulana Endah Prihartini Engkos Koswara Fauzi Ghani, Irvan Fifit Fitriyani Fitriyani, Rofi Gary Gibran Amnesty Guntur Priyatna Hafidz Sanjaya Hafidz Sanjaya, Hafidz Hafni Rizanuddin Harun Sujadi Hendarto, Dede Hendri Herman S. Soegoto Hermawan, Dadan Agus Ii Sopiandi, Ii Ii Supiandi Intan Kusumadewi Irvan Fauzi Ghani Isniar Budiarti Jalil Anwar, Hoerul Kartika Lestari Koswara, Engkos Kurnia Martin Kurnia Rahayu, Siti Kusumadewi, Intan Lia Milana Lia Milana, Lia M Kitabika Damaputra M. Yani Syafei Martin, Kurnia Masduki Masduki Masduki Masduki Muhamad Dendi Purwanto Muhamad Ikhsan, Cecep Muhammad Dziya Dhiyauddin Muhammad Yunus Nunu Nurdiana, Nunu Pangestu, Arki Aji Rachmat, Asep Rahayu, Azi Juliar Rahma Wahdiniwaty Rastiawan, Hanan Rita Nurhasanah Rivialsha Wikananda Riza M Yunus Safari Yonasi Sandi Fajar Rodiyansyah Sandi Fajar Rodiyansyah Selamet Nurjaman, Ade Sidik Zapar Sidik Sukron Maulana, Iqbal Tantri Wayuni Tarsudin, Tarsudin Tito Widianto Tito Widianto Tito Widianto, Tito Tri Ferga Prasetyo Umi Narimawati Usup Suparma Wansyah, Dani Nur Wawan Nugraha Whydiantoro Whydiantoro . Whydiantoro SE Whydiantoro Whydiantoro Whydiantoro Whydiantoro Whydiantoro Whydiantoro Whydiantoro, Whydiantoro Wildan Rohmanudin Winda Nur Hamidah Yani Syafei, M. Yayat Hendrayana, Yayat Yudi Samantha Yunus, Riza M