Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Geografi, Edukasi dan Lingkungan

Analisis Produktivitas Padi Menggunakan UAV Multispektral Dan Support Vector Regression Dengan Optimasi Grid Search Di Balumbang Jaya, Bogor Barat Lestari, Nur Annisa Indah; Erwin Hermawan; Sahid Agustian Hudjimartsu; Arif K Wijayanto; Ahmad Junaedi; Miftahul B.R. Khamid
Jurnal Geografi, Edukasi dan Lingkungan (JGEL) Vol. 9 No. 2 (2025): Edisi Bulan Juli
Publisher : Pendidikan Geografi Universitas Muhammadiyah Prof. Dr. Hamka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jgel.v9i2.17257

Abstract

Rice productivity is an important indicator of national food security, so an accurate analytical approach is needed to monitor and predict harvest yields spatially. This research aims to develop a rice productivity prediction model using remote sensing technology with Unmanned Aerial Vehicle (UAV) and Support Vector Regression (SVR) method. The study was conducted in Balumbang Jaya Village, West Bogor Regency, with a limited sample size of 30 rie field plots. Five vegetation indices were analyzed, including: Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), Normalized Difference Red Edge (NDRE), Optimized Soil-Adjusted Vegetation Index (OSAVI), and Leaf Chlorophyll Index (LCI). The research methodology integrated remote sensing techniques, multispectral image processing, and machine learning. The optimal SVR parameters were obtained through grid search with sigma=1 and cost=1. The Synthetic Minority Over-sampling Technique (SMOTE) was applied in initial data clasification stage to balance the productivity class distribution, although this study focused on regression. The results show that the SVR model with Radial Basis Function (RBF) kernel can explain 87.6% of rice productivity variability with a Root Mean Squared Error (RMSE) of 0.29 ton/ha. The findings confirm the effectiveness of a multidisciplinary approach in developing accurate and innovative rice productivity prediction models. This model has the potential to be used as a decision-making tool in agricultural land management that is more efficient and responsive to environmental variability
Co-Authors Aang Kuvaeni Aang Kuvaeni ABDUL MANAF Afifudin Rahman Agustian, Sahid AHMAD JUNAEDI Ahmad Zahid Alamsyah, Muhamad Alwi Andes Andes Andi Irawan Anisa Arlinda Putri Annisa Marliyani Arif K Wijayanto Bambang Riadi Budi Susetyo Budi Susetyo Budiharjo Budiharjo, Budiharjo Damanhuri, Nuri Abiyyah Damayanti, Intan Darwin Noviansyah Dewi Primasari Diah Adawiyah Dimas Mulya Saputra Disti Ayu Sadewa Dr. Budi Susetyo, Ir. , M. Sc Evi Novianti Fahrezi, Muhamad Azmi Faisal Fakhri Anara Fauzia, Vynnie Firdaus, Rizky Awaludin Firmansyah, Muhamad Geni Fitrah Satrya F.K Freza Riana Gibtha Fitri Laxmi Hadjimartsu, Sahid Agustian Hafidz Hafidz Hakiki, Muhamad Rafi Haorah Haorah Hendriawan Nur, Wawan Iksal Yanuarsyah Iman Nugraha Setiady Imarananda Putri Imran Indarti Indarti`` Irma Damayanti Islahiyah Islahiyah Ismamudi Ismamudi Janaqi M. F Kamali, Alviyan Badro Lestari, Nur Annisa Indah Luthfi Khoirun Nisa M Veruj Abdul Wadud Mahfudoh Tunisa Marimin , Maya Azzahra Miftahul B.R. Khamid Mova R Sianturi muhamad iqbal Muhammad Iqbal Muhammad Ramdhan Muhammad, Rizky Mustofa Al Mujahidin Nazar, Muarief Ahlun Noviansyah, Darwin Nurandi Rachim, Yusril Nurfajar Noviana Gumelar, Muhammad Nurhakim Ar Rafei, Fauza Nurul Kamilah Nurul Kamilah Nurul Karmilah Ocky . Purwantoro, Susilo Adi Puspa Eosina Putri, Monika Rafli Farhan, Muhamad Rahmatullah, Andhika Ramadhan, Alfarisi Ratu Yustika Rini Rena Rena Risky Ramdhani Hidayatullah Riyadi Syahardani Rizky Haerudin, Asep Rudi Hariyanto Sahid Agustian Hudjimartsu Sahid Agustian2 Santun R.P. Sitorus Satriyah Triyastati Shinta Damayanti Sinta Lestari Sinta Lestari, Sinta Siti Nurjanah Sultoni - Suria Darma Tarigan Trisna Mukti Wadud, M Veruj Abdul Wahyudi, Ikmal Waluyo Wanahad, Udin Wulandari, Berlina Yana Armanto, Devi Yayan Hadiyat Yeni Lasmawati