Abstract
<span>he development of electricity facilities and infrastructure plays a vital role in supporting the economic, social, and cultural activities of a nation. The success of construction projects, including transmission towers, can be measured based on the triple constraint, namely correct quality, timely and cost-effective. These three things can be achieved through human resource management. This study aims to measure the influence of human resource management which includes HR planning, project leadership support, organizational structure, and provision of training on the success of electricity projects (transmission towers) in West Papua Province. This study uses a cross-sectional approach to determine the relationship among the variables studied. The population of this study is all workers involved in the transmission construction project of the work tower SUTT Aimas – Sorong (AS) and SUTT Sorong – Rufey (SR). Data collection was carried out through interviews and questionnaires with a sample size of 35 respondents determined by purposive sampling. A partial disaggregation approach with Structure Equation Modeling - Partial Least Square using SmartPLS was carried out to measure the causal relationship among the observed variables. Based on hypothesis testing, it was identified that each variable influences the success of the electricity project, where the provision of training has the greatest influence, positive and significant where the t - <sub>value </sub>is 2.269 and </span><span>r</span><span>0.673; human resource planning has a moderate, positive and significant effect where the t - <sub>value </sub>is 0.374 and </span><span>r</span><span>0.389; project leadership support has a moderate effect, but positive and significant where the t - <sub>value </sub>is 0.182 and </span><span>r</span><span>0.354, while the organizational structure has an insignificant and non-unidirectional effect where the t- <sub>value is </sub>0.225 and </span><span>r</span><span>-0.393. Overall the goodness of the model in measuring the relationship between the four factors on project success is shown by the R2 value of 0.880 which is categorized as a strong influence</span>
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