Analisis produktivitas kelapa sawit (Elaeis guineensis Jacq.) di Kebun Sei Batang Ulak, PT Ciliandra Perkasa, Riau

Abstract

Kegiatan magang bertujuan untuk meningkatkan kemampuan dalam memahami proses budidaya kelapa sawit secara aktual di lapangan, memperoleh pengalaman secara teknis dan manajerial serta menyelaraskan antara teori dengan praktik di lapangan serta menganalisis faktor-faktor yang diduga mempengaruhi produktivitas kelapa sawit. Kegiatan magang dilakukan di Kebun Sei Batang Ulak, PT Ciliandra Perkasa, First Resources Limited, Riau pada bulan Februari-Juni 2013. Produktivitas kelapa sawit di Kebun Sei Batang Ulak berdasarkan hasil analisis dipengaruhi oleh hari kerja, umur tanaman, output panen, suhu dan lama penyinaran matahari. Nilai koefisien determinasi (R2Adj) dalam analisis regresi linier berganda adalah 99.4% yang berarti bahwa sebanyak 99.4% variasi variabel terikat (produktivitas) dapat diterangkan oleh variabel bebas (hari kerja, umur tanaman, output panen, hari hujan, curah hujan, suhu, kelembaban, lama penyinaran matahari dan kecepatan angin) yang terdapat dalam model persamaan. Produktivitas tanaman kelapa sawit di Kebun Sei Batang Ulak mendekati standar potensi produktivitas rata–rata/siklus varietas marihat (24 ton ha–1) yaitu sebesar 23.701 ton ha–1.

Internship activities aims to improve the ability to understand the actual oil palm cultivation in the field, gain technical and managerial experience as well as aligning theory with practice in the field and analyze the factors that have influenced the productivity of oil palm. This internship implemented at Sei Batang Ulak Estate, PT Ciliandra Perkasa, First Resources Limited, Riau in February- June 2013. Productivity of oil palm at Sei Batang Ulak estate based on analysis result affected by harvester working day, age of plant, crop output, temperature and duration of sun exposure. The coefficient of determination (R2Adj) in multiple linear regression analysis was 99.4%, which means that as many as 99.4% of variation dependent variable (productivity) can be explained by the independent variables (weekdays, age of plant, crop output, rainy days, rainfall, temperature, humidity, duration of sun exposure and wind speed) are contained in the model equations. Productivity of oil palm in Sei Batang Ulak estate approaching the average standards of potential productivity of marihat varieties (24 ton ha–1) that is equal to 23.701 ton ha–1. Keywords: age of plant, climate, harvester working day, multiple linear regression