职业安全与健康因素(K3)及其组织公民行为(OCB)对增加海军第四步兵师部队作战准备的分析

A. Wahyuni, Ary Kurniawan, Yuli Yuliantini
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The purpose of this study was to examine the effect of occupational safety and health (K3) and OCB on the operational readiness of the soldiers Battalion Infantery 4 Marines. In this study using quantitative methods and for data processing in order to obtain results using the SPSS 25.0 application program. In determining the sample used, the researcher uses non-probability sampling with incidental sampling technique, to determine the number of samples using the Slovin the sample obtained is 239 respondents. The results in processing SPSS obtained results on the t- test. The t-count value for the K3 variable is 1.979 and the t-table obtained is 1.651, meaning that there is a positive and significant influence on the K3 variable on the operational readiness of soldiers and the t-value on the OCB variable is 1.858 with the t-table obtained is 1.651, meaning that there is a positive and negative effect. significant OCB variable on the operational readiness of soldiers. 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引用次数: 1

摘要

海军陆战队步兵4营的主要任务是用火力和移动搜索、接近和摧毁敌人,或用火力和近距离战斗和反击抵御敌人的攻击,以支援4营的主要任务,作战准备对士兵来说非常重要,其中之一是士兵的职业安全与健康(K3)。除了士兵的K3因素在提高3月4营士兵的战备状态外,要求士兵是执行任务的合格和专业的个人,士兵必须无私地执行他们的工作,称为OCB。摘要本研究旨在探讨职业安全与健康(K3)与职业行为准则(OCB)对陆战步兵4营士兵作战准备状态的影响。在本研究中采用定量方法,并使用SPSS 25.0应用程序对数据进行处理,以获得结果。在确定所使用的样本时,研究人员采用非概率抽样与附带抽样技术,使用Slovin确定样本数量,所获得的样本为239名受访者。SPSS处理结果得到t检验结果。K3变量的t-count值为1.979,得到的t表为1.651,说明K3变量对士兵作战准备状态有正向显著影响;OCB变量的t值为1.858,得到的t表为1.651,说明存在正向和负向影响。OCB变量对士兵作战准备的影响显著。数据处理与f检验同时进行。得到的Ftable等于0.0513。根据f检验的结果,在1.233> 0.0513,显著性值<0.05。所以结论是H0被拒绝,H1被接受。这表明,所有自变量(K3和OCB)对海军陆战队第4步兵营士兵的作战准备都有显著的正向影响。相关系数(R)为66.4%。它属于强类别,R2 = 0.441,这意味着海军陆战队第4步兵营士兵的作战准备状态的44.1%可以被K3和OCB变量解释,而剩下的55.9%受到模型之外的其他变量的影响。
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ANALISIS FAKTOR KESELAMATAN DAN KESEHATAN KERJA (K3) DAN ORGANIZATIONAL CITIZENSHIP BEHAVIOR (OCB) DALAM MENINGKATKAN KESIAPAN OPERASIONAL PRAJURIT BATALYON INFANTERI 4 MARINIR
Battalion Infantery 4 Marines has the main task of carrying out combat tasks by searching for, approaching, and destroying the enemy with fire and movement or fending off enemy attacks with fire and close combat and counter attacks, in support of the main task of Battalion 4 Mar, operational readiness is very important for soldiers, one of which is the occupational safety and health (K3) of soldiers. In addition to the K3 factor of soldiers in improving the operational readiness of Battalion 4 March soldiers, soldiers are required to be qualified and professional individuals in carrying out their duties, soldiers must carry out their work selflessly called OCB. The purpose of this study was to examine the effect of occupational safety and health (K3) and OCB on the operational readiness of the soldiers Battalion Infantery 4 Marines. In this study using quantitative methods and for data processing in order to obtain results using the SPSS 25.0 application program. In determining the sample used, the researcher uses non-probability sampling with incidental sampling technique, to determine the number of samples using the Slovin the sample obtained is 239 respondents. The results in processing SPSS obtained results on the t- test. The t-count value for the K3 variable is 1.979 and the t-table obtained is 1.651, meaning that there is a positive and significant influence on the K3 variable on the operational readiness of soldiers and the t-value on the OCB variable is 1.858 with the t-table obtained is 1.651, meaning that there is a positive and negative effect. significant OCB variable on the operational readiness of soldiers. The data processing simultaneously with the f test. Ftable obtained is equal to 0.0513. Based on the results of the f test obtained at 1.233> 0.0513 and a significance value <0.05. So the conclusion is H0 is rejected and H1 is accepted. This shows that all independent variables (K3 and OCB) have a positive and significant effect on the Operational Readiness of the 4th Marine Infantry Battalion Soldiers. The value of the correlation coefficient (R) is 66.4%. It is in the strong category and the value of R2 = 0.441 which means that 44.1% of the Operational Readiness of the 4th Marine Infantry Battalion Soldiers can be explained by the K3 and OCB variables while the remaining 55.9% is influenced by other variables outside the model studied.
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