影响 PT.Semadam

Hanisah Hanisah, Mukti Hanjani, Supristiwendi Supristiwendi, Cut Gustiana, Rini Mastuti
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引用次数: 0

摘要

棕榈油产业创造了商业潜力。棕榈油农业综合企业是印尼在全球市场上具有竞争优势的工业部门之一。印尼棕榈油产业的发展重点是实现社会、金融和环境方面的平衡。油棕种植园员工的注意力对于提高生产率至关重要。本研究旨在分析收获溢价变量:工龄、年龄、教育水平、受抚养人数量、补助金和地质对 PT Semadam 公司油棕收获工人工作执行情况的影响。本研究于 2022 年 6 月在亚齐塔马尼的 PT.Semadam, Aceh Tamiang.本研究采用了调查法。样本数量采用斯洛文公式计算,误差率为 10%或 0.1。通过计算,从 45 人中抽取了 40 名受访者。研究结果表明,自变量(保险费收缴、工作参与、年龄、教育水平、受抚养人数量、援助资金和地理位置)对因变量(工作执行情况)具有集体影响。然而,保险费收取、教育水平和地理位置对工人的工作绩效有显著影响,而工作参与、年龄、工作参与和补助资金对工人的工作绩效没有实质性影响。确定系数 0.825 表明,自变量解释了因变量中 82.5%的方差,而其他因素影响了 17.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Factors Influencing Employee Performance in Palm Oil Harvesting at PT. Semadam
The palm oil industry has created business potential. Palm oil agribusiness is one of the industrial sectors in Indonesia that possesses a competitive advantage in the global market. The development of the palm oil industry in Indonesia has been carried out with a focus on achieving a balance among social, financial, and environmental aspects. The attention of oil palm plantation employees is crucial for increasing productivity. This research aims to analyze the influence of the harvest premium variables: length of service, age, education level, number of dependents, grants, and geology on the work implementation of oil palm harvesting workers at PT Semadam. This research was conducted in June 2022 at PT. Semadam, Aceh Tamiang. In this research, the survey method was employed. The number of samples was calculated using the Slovin Formula with an error rate of 10% or 0.1. This calculation obtained a sample size of 40 respondents from a population of 45 people. The research results indicate a collective influence of independent factors (premium collection, work involvement, age, education level, number of dependents, aid funds, and geographical location) on the dependent variable (work implementation). However, premium collection, education level, and geography significantly influence worker performance, while work involvement, age, work involvement, and grants do not substantially impact worker performance. The coefficient of determination, 0.825, indicates that the independent variables explain 82.5% of the variance in the dependent variable, while other factors influence 17.5%.
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