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Analysis Of Employee Performance With Organizational Culture And Organizational Commitment Using The Pls Sem Method And The Root Cause Analysis Approach (Case Study: Cirata Generation Unit Pt Pln Nusantara Power)

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UNIVERSITAS ISLAM INDONESIA

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PT PLN Nusantara Power is an electricity company that is heavily reliant on the generator reliability factor, namely Equivalent Availability Factor (EAF), and the outage rage factor, namely EFOR. Humans are one of the most important assets that companies must consider. The exact cause of the Cirata Power Unit's numerous generator disturbances is unknown. The company experienced a significant loss as a result of this. This study aimed to investigate the relationship between organizational commitment and organizational culture, and employee performance, as well as their impact on the operational performance of the company's generators. Therefore, to validate the relationship, a survey of 35 people was conducted, and data was processed using the SEMPLS (Structural Equation Model - Partial Least Square) method. The findings show that organizational culture (X1) and organizational commitment (X2) have a positive and statistically significant impact on employee performance (Y1). The next variable, employee performance (Y1), has a positive and significant effect on the plant's operational performance (Z1). Furthermore, a deeper investigation was conducted using the Root Cause Analysis method with brainstorming tools and fishbone diagrams to determine the root causes of the plant's decreased operational performance. The results of Root Cause Analysis show that the KPIs that each General Manager already has are not deconstructed to the functional level. As a result, the KPI design for the Cirata Unit was carried out from six perspectives: productivity, cost-effectiveness, work safety, environmental perspective, quality perspective, and learning perspective. It can be a good input for the company if implemented in accordance with ISO 55001: 2014 standards for asset management for KPI design that is adjusted to the maintenance scorecard.

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