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References
- A. Basit, “Implementasi Algoritma Naive Bayes Untuk Memprediksi Hasil Panen Padi,” J. Tek. Inform. Kaputama, vol. 4, no. 2, pp. 208–213, 2020.
- S. S. Defiyanti Muhammad; Dermawan, Budi Arif, “Algoritma C4.5 Untuk Memprediksi Produktivitas Tanaman Padi Di Karawang,” Inform. Pertan., no. Vol 28, No 2 (2019): DESEMBER 2019, pp. 103–110, 2019, [Online]. Available: http://ejurnal.litbang.pertanian.go.id/index.php/IP/article/downloadSuppFile/9923/827
- 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., vol. 8, no. 4, p. 364, 2019, doi: 10.22146/jnteti.v8i4.537.
- I. L. Mulyahati, “Implementasi Machine Learning Prediksi Harga Sewa Apartemen Menggunakan Algoritma Random Forest Melalui Framework Website Flask Python,” Universitas Islam Indonesia, 2020. [Online]. Available: papers3://publication/uuid/143B9B2C-186A-4872-8DC1-638AAC4D36C3
- M. Mirqoatul Mafa’atiih, “Implementasi Artificial Inteligence Untuk Memprediksi Harga AIRBNB Menggunakan Metode Random Forest Dan Penerapan Web Application Menggunakan Flask.,” Universitas Islam Indonesia, 2020. doi: 10.53730/ijhs.v6ns6.9986.
- i. Y. Supartha, g. Wijaya, and g. M. Adnyana, “Aplikasi Jenis Pupuk Organik pada Tanaman Padi Sistem Pertanian Organik,” E-Jurnal Agroekoteknologi Trop., vol. 1, no. 2, pp. 98–106, 2012.
- F. Azizah, S. Suwarsito, and E. Sarjanti, “Pengaruh Pola Curah Hujan Terhadap Produktivitas Padi di Kecamatan Bukateja Kabupaten Purbalingga,” Sainteks, vol. 18, no. 1, p. 1, 2021, doi: 10.30595/sainteks.v18i1.10567.
- C. V Donggulo, I. M. Lapanjang, and U. Made, “Growth and Yield of Rice (Oryza sativa L.) under Different Jajar Legowo System and Planting Space,” J. Agrol., vol. 24, no. 1, pp. 27–35, 2017, [Online]. Available: http://jurnal.untad.ac.id/jurnal/index.php/AGROLAND/article/view/8569
- S. Saadah and H. Salsabila, “Prediksi Harga Bitcoin Menggunakan Metode Random Forest: (Studi Kasus: Data Acak Pada Masa Pandemic Covid-19),” J. Komput. Ter., vol. 7, no. 1 SE-, pp. 24–32, Jun. 2021, doi: 10.35143/jkt.v7i1.4618.
- T. M. Oshiro, P. S. Perez, and J. A. Baranauskas, “How many trees in a random forest?,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 7376 LNAI, no. July 2012, pp. 154–168, 2012, doi: 10.1007/978-3-642-31537-4_13.
References
A. Basit, “Implementasi Algoritma Naive Bayes Untuk Memprediksi Hasil Panen Padi,” J. Tek. Inform. Kaputama, vol. 4, no. 2, pp. 208–213, 2020.
S. S. Defiyanti Muhammad; Dermawan, Budi Arif, “Algoritma C4.5 Untuk Memprediksi Produktivitas Tanaman Padi Di Karawang,” Inform. Pertan., no. Vol 28, No 2 (2019): DESEMBER 2019, pp. 103–110, 2019, [Online]. Available: http://ejurnal.litbang.pertanian.go.id/index.php/IP/article/downloadSuppFile/9923/827
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., vol. 8, no. 4, p. 364, 2019, doi: 10.22146/jnteti.v8i4.537.
I. L. Mulyahati, “Implementasi Machine Learning Prediksi Harga Sewa Apartemen Menggunakan Algoritma Random Forest Melalui Framework Website Flask Python,” Universitas Islam Indonesia, 2020. [Online]. Available: papers3://publication/uuid/143B9B2C-186A-4872-8DC1-638AAC4D36C3
M. Mirqoatul Mafa’atiih, “Implementasi Artificial Inteligence Untuk Memprediksi Harga AIRBNB Menggunakan Metode Random Forest Dan Penerapan Web Application Menggunakan Flask.,” Universitas Islam Indonesia, 2020. doi: 10.53730/ijhs.v6ns6.9986.
i. Y. Supartha, g. Wijaya, and g. M. Adnyana, “Aplikasi Jenis Pupuk Organik pada Tanaman Padi Sistem Pertanian Organik,” E-Jurnal Agroekoteknologi Trop., vol. 1, no. 2, pp. 98–106, 2012.
F. Azizah, S. Suwarsito, and E. Sarjanti, “Pengaruh Pola Curah Hujan Terhadap Produktivitas Padi di Kecamatan Bukateja Kabupaten Purbalingga,” Sainteks, vol. 18, no. 1, p. 1, 2021, doi: 10.30595/sainteks.v18i1.10567.
C. V Donggulo, I. M. Lapanjang, and U. Made, “Growth and Yield of Rice (Oryza sativa L.) under Different Jajar Legowo System and Planting Space,” J. Agrol., vol. 24, no. 1, pp. 27–35, 2017, [Online]. Available: http://jurnal.untad.ac.id/jurnal/index.php/AGROLAND/article/view/8569
S. Saadah and H. Salsabila, “Prediksi Harga Bitcoin Menggunakan Metode Random Forest: (Studi Kasus: Data Acak Pada Masa Pandemic Covid-19),” J. Komput. Ter., vol. 7, no. 1 SE-, pp. 24–32, Jun. 2021, doi: 10.35143/jkt.v7i1.4618.
T. M. Oshiro, P. S. Perez, and J. A. Baranauskas, “How many trees in a random forest?,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 7376 LNAI, no. July 2012, pp. 154–168, 2012, doi: 10.1007/978-3-642-31537-4_13.