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Journal : International Journal of Multidisciplinary: Applied Business and Education Research

Rainfall Variability and Its Influence on P Palm Oil Productivity (Elaeis Guineensis Jacq.): Case Study at PT. Nusaina Group Seram Island Province Maluku Patty, Jacob R.; Laimeheriwa, Semuel; Madubun, Elia L.; Lingga, Sandivo
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 5 No. 3 (2024): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.05.03.09

Abstract

Rainfall variability significantly influences plant productivity; including palm oil. This research aims to describe rainfall variability and its influence on oil palm productivity on Seram Island, Maluku Province. The data collected consists of rainfall, palm oil production data and supporting data. The analytical method used consists of generating rainfall data, analyzing extreme rainfall conditions and regression analysis to see the relationship between rainfall and palm oil productivity. The research results show that the El Nino rainfall anomaly at the research location in the 1992-2021 period occurred 8 times with a frequency of once every 2 - 6 years or an average of once every 3 years. La Nina occurs 7 times with a frequency of 1 – 10 years or an average of once every 4 years. The very extreme El Nino caused a reduction in rainfall at the research location by 888 mm or 40% of normal conditions, whereas the very extreme La Nina event resulted in an increase in rainfall of 1491 mm or 58% of normal conditions. Rainfall variability is very closely related to oil palm productivity with the regression equation Y = 94.05 – 0.1558x + 0.000083x 2 – 10 -8 x 3 and the accuracy level R 2 is 98.6%.
Analysis of Land Water Balance in Various Rainfall Conditions and Its Utilization to Determine Planting Patterns of Food Crops in the Eastern Part of Seram District of Seram Island Madubun , Elia L.; Ririhena, Rhony E.; Laimeheriwa , Semuel; Simamora , Ridoni
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 5 No. 7 (2024): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.05.07.03

Abstract

Soil water balance calculation is one of the methods used to estimate the dynamics of soil water content during plant growth. This study aims to describe rainfall conditions and analyze soil water balance as well as determine the growing season and composition of food crop combination patterns based on the available growing season in East Seram Island. This research uses rainfall data for 30 years of observation period 1992-2021 from Geser Meteorological Station (Data analysis with the following stages: (i) rainfall analysis (ii) calculation of average rainfall (iii) determination of rainfall with a 75% chance (iv) calculation of soil water balance using the Thornthwaite and Mather method (v) determination of the growing season and cropping pattern. The results showed that the average rainfall in East Seram was 2,194 mm/year with a water deficit (D) occurring in October and November, then the rainfall had a 75% chance of being exceeded at 1,439 mm/year with a water deficit of 228 mm/year which lasted for eight months, namely August - March. The growing season under normal rainfall conditions was available throughout the year, while under high rainfall conditions, a 75% chance of the growing season was available for five months, namely May and October. The cropping patterns and crop combinations used were monoculture, polyculture, and intercropping with combinations of cassava, maize, sweet potato, groundnut, mung bean, cassava-corn, cassava-peanuts/green beans, maize-peanuts, cassava-corn-peanuts/green beans, cassava-corn-horticultural crops.