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All Journal International Journal of Electrical and Computer Engineering MEDIA PETERNAKAN - Journal of Animal Science and Technology Jurnal Ilmu Pertanian Indonesia Buletin Peternakan Pastura; Journal Of Tropical Forage Science Jurnal Veteriner Jurnal Ilmu Lingkungan JURNAL ILMU DAN TEKNOLOGI PETERNAKAN Agrifor : Jurnal Ilmu Pertanian dan Kehutanan Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Jurnal Sain Peternakan Indonesia Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) Jurnal Ilmu Ternak Veteriner WARTAZOA Indonesian Bulletin of Animal and Veterinary Sciences Jurnal Ternak Tropika AGRIVITA, Journal of Agricultural Science JITRO (Jurnal Ilmiah dan Teknologi Peternakan Tropis) IJFAC (Indonesian Journal of Fundamental and Applied Chemistry) Jurnal Pertanian Terpadu Animal Production : Indonesian Journal of Animal Production Buletin Ilmu Makanan Ternak Jurnal Ilmu Nutrisi dan Teknologi Pakan Jurnal Manajemen Pembangunan Daerah e-Jurnal Rekayasa dan Teknologi Budidaya Perairan Journal of Tropical Crop Science Jurnal Medik Veteriner Jurnal Ilmu Peternakan dan Veteriner Tropis (Journal of Tropical Animal and Veterinary Sciences) Jurnal Iktiologi Indonesia (Indonesian Journal of Ichthyology) Jurnal Nutrisi Ternak Tropis (JNT) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Triton Jurnal Pusat Inovasi Masyarakat AGRIEKSTENSIA Jurnal Kedokteran Hewan Scientific Journal of Informatics Jurnal Agripet
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Journal : Scientific Journal of Informatics

Estimation Model of Nutritional Content Based on Broiler Feed Images Using Convolutional Neural Network and Random Forest Mufti, Abdul; Sitanggang, Imas Sukaesih; Neyman, Shelvie Nidya; Abdullah, Luki
Scientific Journal of Informatics Vol. 12 No. 3: August 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i3.28682

Abstract

Purpose: This research aims to develop an intelligent model to estimate the nutritional content of broiler chicken feed based on feed images to assist farmers in selecting the best broiler feed and quickly verifying its quality to meet requirements. Methods: The methodology of this research includes literature study, data collection, data preprocessing, image classification, model evaluation, integration of CNN and random forest models, and estimation of nutritional content based on feed images. We collected 99 samples of broiler chicken feed from online stores in various regions of Indonesia, particularly Java. Next, we took pictures with a smartphone and analyzed the nutritional content using near-infrared spectroscopy. Preprocess the data by enhancing the dataset (color space and data augmentation). We use Convolutional Neural Network (CNN) for the classification of broiler feed images. The performance of the CNN model is evaluated using a confusion matrix. We integrate CNN and Random Forest Regressor (RFR) to estimate nutritional content from the features of broiler feed images. Result: The performance evaluation shows that the CNN (VGG-16) model is 0.9744% accurate and the RFR model has the highest R2 value of 0.8018. The benefits of this research include faster, more efficient, and automated feed quality measurement compared to traditional methods; maintaining feed quality standards; and avoiding health risks for livestock. Novelty: This research introduces an intelligent model to estimates the nutritional content of broiler feed images by integrating a CNN model with an RFR.
Co-Authors . Nurlaha . Supriyanto A Ali Adrial Adrial Adrial Adrial, Adrial Afsitin Joan Tatra Agus Oman Sudrajat Ahmad Darobin Lubis Ahmad Yani ahmad yani Ahmad Yani Amalia, Ghina Tazkia Anisa Rahmawati Solikah Anwar Efendi Harahap Apriadi Pasaribu Arief, Irma Isnafia Arif Hidayad Ashari Armaji, Yone Asep Tata Permana Asep Tata Permana Asnath Maria Fuah, Asnath Maria Astuti DA Astuti DA Asyidiqy, Tantri Azhar, Muhammad Nur Azib Ernawati - Bagus Priyo Purwanto Bayu Nuari Ramadhan Berta Putri Cathleya Rosadi Choirul Badriah D Sopandi D Sopandi D.A. Astuti Dedi Ramdani Desi Purnamasary Banurea Despal Despal DEWI APRI ASTUTI Dewi Ayu Lestari Diana Sawen Didid Diapari Dwi Mulyasih Dwi Mulyasih Edi Erwan Eko Heru Dumadi Enggi Rizki Pratama Erwan, Edi Fachrul Akbar Fellyanus Habaora Fellyanus Habaora Fellyanus Habaora Fellyanus Habaora Fellyanus Habaora Fensa Eka Widjaya Fitra, Deni Guslian Abdul Basir Hajar Hajar Harianti, Fitri Harun Djuned Harwanto Harwanto Henny Nuraini Heri Sukria Herilimiansyah Herilimiansyah I Anas Ida Ayu Putu Sri Widnyani Idat Galih Permana Imas Sukaesih Sitanggang Indra Gumay Yudha Irma Isnafia Arief Irman Hermadi Iwan Herdiawan Iwan Herdiawan Iwan Prihantoro Iwan Prihantoro Jefirstson Richset Riwukore Jefirstson Richset Riwukore Jefirstson Richset Riwukore Kahfi Heryandi Suradiradja Karti PDMH Karti PDMH Kathleya Rosadi Komarsa Gandasasmita Laili Fithri Hidayati Lilis Khotijah Luis Marnisah M A Chozin M Agus Setiadi Mansyur Mansyur Mona Lastri Lani mufti, abdul Muhammad Ridla N R Kumalasari Nahrowi Nahrowi Nazla Iftikhar Niken Ulupi Nur Rochmah Kumalasari Nur Rohmah Kumalasari P.M.D.H Karti, P.M.D.H Panca Dewi M. H. K. Panca Dewi Manu Hara Karti Panca DMH Karti Priskila Sophia Hutapea Rita Mutia Rizal Putra Rizki Eka Puteri Rizki Palupi Rudi Afnan Rudi Priyanto Rudi Priyanto Rudy Priyanto Rustama Saepudin Sadarman Sadarman Salundik Satria Mulyadi Putra, Erlangga Satwika, Prawesa Shelvie Nidya Neyman Sitanggang, Imas S. Somanjaya, Rachmat SRI RAHAYU Suharlina Suharlina Sumiati . . Sumiati Sumiati Sunardi Suradiradja, Kahfi Heryandi Suwardi Suwardi Suwarnao - Suwarno, Suwarno Tenti Rahmawati Tenti Rahmawati, Tenti Tidi Dhalika Toto Toharmat Yayang Lilik Abdul Holik Yohanes Susanto Yuli Retnani Yundari, Yundari Zikril Hidayat