Development of Digital Learning Pre-Comissioning Supervision of 150 KV Power Transformers at PLN UPMK I Project Management Center
Abstract
This paper has the objective of developing a supervisory Digital Learning to improve supervisor competence in supervising pre-commissioning 150 kV power transformers at PT PLN (Persero) UPMK I Project Management Center by analyzing the basic competence of supervisor knowledge, ensuring the feasibility and effectiveness of the Supervision Digital Learning Application. This research is a development using the Research and Development approach with the Agile development method by applying the Scrum framework which consists of 7 stages. Data collection techniques used in this study were observation, interviews, and questionnaires. The method used to measure product feasibility is through validation from experts, namely webdesign, material, and media experts as well as performing a function test of the Digital Learning Monitoring Application using Black Box Testing (Boundary Value Analysis) and White Box Testing (Cyclomatic Complexity) instruments. The method used to measure product effectiveness is the System Usability Scale (SUS) and the User Experience Questionnare (UEQ). The results showed that the supervision Digital Learning Application was considered feasible to use based on the percentage results from web design/application experts, material experts and media experts, based on the results of the functionality test with a success percentage of 85.25% and no code errors were found on each form. Then the Digital Learning Monitoring Application is considered effective for use based on the number of samples in this study as many as 25 respondents, with details of 10 respondents from office employees and 15 respondents from field supervisors, starting with a successful functional test with 10 different devices and 5 different operating systems.
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DOI: https://doi.org/10.33258/birci.v5i3.6063
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