PENGARUH CURAH HUJAN, HARI HUJAN, DAN DRY SPELL TERHADAP PERODUKTIVITAS KELAPA SAWIT (Elaeis guineensis Jacq) DI AFDELING I KEBUN AEK TOROP PT. PERKEBUNAN NUSANTARA III
Abstract
Rainfall is high every year, ranging from 2000 – 2500 mm/year and evenly distributed throughout the year. Falling rain will cause the successive opening of leaves that have not yet bloomed, resulting in the formation of leaves which will then stimulate the formation of flowers. Thus, sufficient rainfall in terms of quantity and distribution will cause oil palm plants to be able to produce optimally. This research method uses SPSS Windows 25, namely Multiple Linear Regression and Correlation analysis. Where the significant value of the influence of rainfall (X1) on productivity (Y) is 0.912 with a correlation value of 0.046. The significant value of rainy days (X2) on productivity (Y) is 0.967 with a correlation value of 0.267. The significant value of the effect of dry spell (X3) on productivity (Y) is 0.609 with a correlation value of 0.457. With the results of this research, the influence of rainfall, rainy days and dry spell on palm oil productivity has a positive effect and has sufficient correlation with productivity
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Aldrian, E. (2011). Adaptasi dan mitigasi perubahan iklim global. Prasetya Online, November 2011, 174.
BMKG, 2014. Kondisi Bumi Kian Mengkhawatirkan, BMKG Ajak Masyarakat Kontribusi Tahan Laju Perubahan Iklim Kondisi Bumi Kian Mengkhawatirkan, BMKG Ajak Masyarakat Kontribusi Tahan Laju Perubahan Iklim | BMKG
Derry. M, Wirianata. H, Mu’in. A. 2018. Pengaruh Curah Hujan terhadap Produktivitas Kelapa Sawit di PT. Perkebunan Nusantara I (Persero). Jurnal Agromast, Vol. 3 No. 1 April 2018.
Direktorat Perbenihan, 2004. Informasi Perbenihan Perkebunan Kelapa Sawit. Direktorat Jenderal Bina Produksi Perkebunan. Jakarta
Pusat Penelitian Kelapa Sawit, Medan.suitabilityfor growth of oil palms in Malaysia and Indonesia. Scientific Reports, 5,1– 11.https://doi.org/10.1038/srep14457.
Pusat Penelitian Kelapa Sawit (PPKS), 2006, Profil Kelapa Sawit Indonesia, PPKS, Medan.
Paterson, R.R.M., Kumar, L., Taylor, S., & Lima, N. (2015). Future climate effects on Razali, M.H., W.I.W. Ismail, A.R. Ramli, M.N. Sulaiman, M.H.B. Harun. 2011. Prediction model for estimating optimum harvesting time of oil palm fresh fruit bunches. https://www.scopus.com/record/display.uri?eid=2-s2.0-80655133908&origin=inward&txGid=7388101fd92869ea259ad02500add178
Ritung, S., Nugroho, K., Mulyani, A., & Suryani, E. (2011). Petunjuk Teknis Evaluasi Lahan Untuk Komoditas Pertanian (Edisi Revi). Badan Penelitian dan Pengembangan Pertanian, Kementerian Pertanian.
Siregar, H. H., Darlan, N. H., & Pradiko, I. (2015). Pemanfaatan Data Iklim untuk Perkebunan Kelapa Sawit. https://agroklimatologippks. files. wordpres. com/2015/10/pemanfaatan-data-iklim untuk-perkebunan.pdf
DOI: http://dx.doi.org/10.37159/jpa.v26i2.4628
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