Algoritma Deep Learning dalam Memprediksi Hasil Panen Padi di Kabupaten Lamongan
Abstract
References
A. S. Budi, P. H. Susilo, and N. Nafi’iyah, “SVM Algorithm for Predicting Rice Yields,” J. Teknol. Inf. dan Pendidik., vol. 13, no. 341, 2020.
B. D. Setiawan, F. A. Bachtiar, and G. Ramadhona, “Prediksi Produktivitas Padi Menggunakan Jaringan Syaraf Tiruan Backpropagation,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., 2018.
N. Nafi’iyah, “ANALISIS ALGORITMA BACKPROPAGATION DENGAN SVM DALAM HASIL PREDIKSI NILAI UJIAN NASIONAL PADA SEKOLAH TINGKAT PERTAMA,” I N F O R M A T I K A, vol. 12, no. 1, pp. 5–13, 2020, doi: 10.36723/juri.v12i1.204.
N. Nafi’iyah, “Tuber Type Classification Based on Image of Bulbs with Deep Learning,” 2020, doi: 10.1109/ICISS50791.2020.9307584.
G. H. Kwak et al., “Automatic mandibular canal detection using a deep convolutional neural network,” Sci. Rep., 2020, doi: 10.1038/s41598-020-62586-8.
N. Nafi’iyah, A. Ahmad Salaffudin1, and N. Q. Nawafilah, “Algoritma Backpropagation untuk Memprediksi Korban Bencana Alam,” SMATIKA J., 2020, doi: 10.32664/smatika.v9i02.400.
H. W. Herwanto, T. Widiyaningtyas, and P. Indriana, “Penerapan Algoritme Linear Regression untuk Prediksi Hasil Panen Tanaman Padi,” J. Nas. Tek. Elektro dan Teknol. Inf., 2019, doi: 10.22146/jnteti.v8i4.537.
E. Triyanto, H. Sismoro, and A. D. Laksito, “IMPLEMENTASI ALGORITMA REGRESI LINEAR BERGANDA UNTUK MEMPREDIKSI PRODUKSI PADI DI KABUPATEN BANTUL,” Rabit J. Teknol. dan Sist. Inf. Univrab, 2019, doi: 10.36341/rabit.v4i2.666.
A. A. Suryanto, “PENERAPAN METODE MEAN ABSOLUTE ERROR (MEA) DALAM ALGORITMA REGRESI LINEAR UNTUK PREDIKSI PRODUKSI PADI,” SAINTEKBU, 2019, doi: 10.32764/saintekbu.v11i1.298.
Supriyanto, Sudjono, and D. Rakhmawati, “Prediksi Luas Panen dan Produksi Padi di Kabupaten Banyumas Menggunakan Metode Adaptive Neuro-Fuzzy Inference System (ANFIS),” J. Probisnis, 2012.
Djafar, M. I. Sarita, and Y. P. Pasrun, “Peramalan jumlah produksi padi di sulawesi tenggara menggunakan metode,” semanTIK, 2017.
N. L. Taqwa, I. K. D. Nuryana, and A. Andriani, “Sistem Prediksi Produksi Padi di Provinsi Jawa Timur Menggunakan Exponential Smoothing Berbasis Web,” Inovate, 2019.
B. Das, B. Nair, V. K. Reddy, and P. Venkatesh, “Evaluation of multiple linear, neural network and penalised regression models for prediction of rice yield based on weather parameters for west coast of India,” Int. J. Biometeorol., vol. 62, no. 10, 2018, doi: 10.1007/s00484-018-1583-6.
N. Liundi, A. W. Darma, R. Gunarso, and H. L. H. S. Warnars, “Improving Rice Productivity in Indonesia with Artificial Intelligence,” 2019, doi: 10.1109/CITSM47753.2019.8965385.
A. Hamdianah, “Comparison of Neural Network and Recurrent Neural Network to Predict Rice Productivity in East Java,” J. Inf. Technol. Comput. Sci., vol. 5, no. 3, 2021, doi: 10.25126/jitecs.202053182.
P. Anitha and T. Chakravarthy, “Agricultural Crop Yield Prediction using Artificial Neural Network with Feed Forward Algorithm,” Int. J. Comput. Sci. Eng., vol. 6, no. 11, 2018, doi: 10.26438/ijcse/v6i11.178181.
DOI: https://doi.org/10.30591/jpit.v7i1.2581
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