Open Access
| Issue |
MATEC Web Conf.
Volume 372, 2022
International Conference on Science and Technology 2022 “Advancing Science and Technology Innovation on Post Pandemic Through Society 5.0” (ICST-2022)
|
|
|---|---|---|
| Article Number | 07003 | |
| Number of page(s) | 5 | |
| Section | Green Technology and Sustainable Development | |
| DOI | https://doi.org/10.1051/matecconf/202237207003 | |
| Published online | 08 December 2022 | |
- L. Q. Avia, “Change in rainfall per-decades over Java Island, Indonesia,” in IOP Conference Series: Earth and Environmental Science, (2019), vol. 374, no. 1, doi: 10.1088/1755-1315/374/1/012037. [Google Scholar]
- F. Lebdi, “Irrigation for agricultural transformation – Background paper for African transformation report 2016: Transforming Africa’s agriculture,” (2016). [Online]. Available: https://www.jica.go.jp/jicari/publication/booksandreports/l75nbg0000004aet-att/l75nbg0000004ai9.pdf. [Google Scholar]
- D. M. Midyanti, R. Hidayati, and S. Bahri, “Prediksi Curah Hujan Bulanan meteorologi Supadio Kubu menggunakan Jaringan Syaraf Tiruan Backpropagation,” in Seminar Nasional II Penerapan Ilmu Pengetahuan dan Teknologi Universitas Tanjungpura, (2016), no. November, pp. 363–368. [Google Scholar]
- Asian Development Bank, “Indonesia Climate Risk Country Profile,” 2021. [Online]. Available:www.worldbank.org. [Google Scholar]
- H. Abdul Rahman, “Climate Change Scenarios in Malaysia: Engaging the Public,” Int. J. Malay- Nusantara Stud., vol. 1, no. 2, pp. 55–77, (2018), [Online]. Available:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1086.6702&rep=rep1&type=pdf. [Google Scholar]
- C. Oktaviani and A. Afdal, “Prediksi Curah Hujan Bulanan menggunakan Jaringan Syaraf Tiruan dengan 1Beberapa Fungsi Pelatihan Backpropagation (Studi Kasus: Stasiun Meteorologi Tabing Padang, Tahun 2001–2012),” J. Fis. Unand, vol. 2, no. 4, pp. 228–237, (2014), [Online]. Available: http://jfu.fmipa.unand.ac.id/index.php/jfu/article/view/49. [Google Scholar]
- D. A. Rezaldi and Sugiman, “Peramalan Metode ARIMA Data Saham PT . Telekomunikasi Indonesia,” in Prisma, (2021), vol. 4, pp. 611–620. [Google Scholar]
- A. Assidiq, P. Hendikawati, and N. Dwidayati, “Perbandingan Metode Weighted Fuzzy Time Series, Seasonal Arima, dan Holt-Winter’s Exponential Smoothng untuk Meramalkan Data Musiman,” UNNES J. Math., vol. 6, no. 2, pp. 129–142, (2017), [Online]. Available: http://journal.unnes.ac.id/sju/index.php/ujm. [Google Scholar]
- A. Machmudin and B. S. S. Ulama, “Peramalan Temperatur Udara di Kota Surabaya dengan Menggunakan ARIMA dan Artificial Neural Network,” J. Sains dan Seni ITS, vol. 1, no. 1, pp. 118–123, (2012). [Google Scholar]
- BMKG, “Probabilistik Curah Hujan 24 Jam,” bmkg.go.id, (2022). https://www.bmkg.go.id/cuaca/probabilistik-curahhujan. bmkg#:~:text=0.5 – 20 mm%2Fhari (,(merah) %3A Hujan sangat lebat (accessed Jul. 17, 2022). [Google Scholar]
- V. Nagori, “Fine tuning the parameters of back propagation algorithm for optimum learning performance,” in Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016, (2016), pp. 7–12, doi: 10.1109/IC3I.2016.7917926. [Google Scholar]
- D. A. Permatasari and D. A. Maharani, “Backpropagation neural network for tuning PID pantilt face tracking,” in Proceedings – 2018 3rd International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2018, (2018), no. November, pp. 357–361, doi: 10.1109/ICITISEE.2018.8720968. [Google Scholar]
- A. Gusi-Amigo, P. Ciosas, and L. Vandendorpe, “Mean square error performance of sample mean and sample median estimators,” IEEE Work. Stat. Signal Process. Proc., vol. 2016-August, no. June, (2016), doi: 10.1109/SSP.2016.7551739. [Google Scholar]
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