Implementasi Long Short-Term Memory (LSTM) Pada Forecasting Waktu Tanam Optimal Tanaman Cabai
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BPS, “Distribusi Perdagangan Komoditas Cabai Merah Indonesia Tahun 2018,” Badan Pus. Stat., pp. 1–97, 2018.
V. A. Muliana, “8 Negara Produsen Cabai Terbesar di Dunia, RI Termasuk?,” Liputan6.com, Jun. 06, 2017. Accessed: Feb. 21, 2022. [Online]. Available: https://www.liputan6.com/bisnis/read/2819761/8-negara-produsen-cabai-terbesar-di-dunia-ri-termasuk
“Outlook Cabai,” Pus. Data Dan Sist. Inf. Pertan. Sekr. Jenderal Kementerian Pertan. 2019, 2019.
C. M. Saptana and S. H. Susilowaty, “Manajemen Rantai pasok Komoditas Cabai Pada Agroekosistem Lahan Kering Di Jawa Timur,” J. Anal. Kebijak. Pertan., vol. 16, p. 1, 2018.
Heizer, J., Render, B., Munson, C., Sachan, A., 2017. Operations management: sustainability and supply chain management, 12/e.
Salman, A.G., Heryadi, Y., Abdurahman, E., Suparta, W., 2018. Single layer & multi-layer long short-term memory (LSTM) model with intermediate variables for weather forecasting. Procedia Computer Science 135, 89–98.
Dix, P., 2020. Why Time Series Matters for Metrics, Real-Time Analytics and Sensor Data, Revision 4. ed. Influxdata.
Long, T.J., 2022. Pengertian dan Rumus Mean Squared Error (MSE). URL jagostat.com.
DOI: https://doi.org/10.31002/jeecit.v4i2.8054
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