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Hasil Pencarian

Ditemukan 3 dokumen yang sesuai dengan query
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Polma Erik Astrada
"Aktifitas kerja di PT XYZ Indonesia dapat menyebabkan kecelakaan kerja dan faktor manusia yang mendominasinya. Penelitian ini bertujuan untuk menganalisis penyebab dan karakteristik dari kegagalan manusia. Metode penelitian ini adalah pengisian kuesioner dan wawancara mendalam dengan mengadopsi swiss cheese model. Karakteristik human failure yang terjadi di PT XYZ Indonesia tahun 2015 adalah knowledge based error sebesar 43,53%, rule based error sebesar 28,82%, slip sebesar 12,94%, lapse sebesar 8,82% dan violation sebesar 5,88%. Kondisi laten merupakan hal yang mempengaruhi terjadinya human failure di tempat kerja. Pengawasan yang tidak efektif dan manajemen pemeliharaan yang kurang menjadi faktor terbesar dalam terjadinya human failure. Dari hasil penelitian disimpulkan bahwa karyawan cenderung belum mendapatkan informasi yang tepat mengenai prosedur dan standar yang dipengaruhi oleh faktor lingkungan kerja dan organisasi. Pengembangan organisasi yang berfokus pada pengembangan manusia perlu dilakukan.

Work activities in PT XYZ Indonesia possible to induce accident occourance and human faktor dominate that one. The research objective to analyze cause and characteristic of human failure. The research method is questioner filling and indept interview adopted swiss cheese model. Human failure characracteristic in PT XYZ Indonesia are knowledge based error 43.53%, rule based error 28.82%, slip 12.94%, lapse 8.82% and violation 5.88%. Latent condition determine human failure occorance. Absence of supervision and lack of maintenance management are the most influence in human failure occourance. The research descrube employee lean to not get proper information regarding procedure and standard influenced by limitation workplace and organization. Organization development which focus in human development must be done.
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Depok: Fakultas Kesehatan Masyarakat Universitas Indonesia, 2014
S59999
UI - Skripsi Membership  Universitas Indonesia Library
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Ram, Mangey
"ABSTRACT
Hydroelectric power is an important renewable resource of energy is an indispensable contributor to the countrywide power network. The hydroelectric plant is expected to supply power with the highest scale of quality and reliability. Sensitivity analysis is used to determine the impact on the outcomes due to the changes in the parameters and structural changes. This research work aims to evaluate the sensitivity of the hydroelectric system, taking the human failure into consideration using fuzzy analytic hierarchy process (AHP) approach. Six different failure rates are taken into consideration. The fuzzy approach incorporates all the vagueness and uncertainty existing in the power system due to different failure and repair rates. The main contribution of this research is to evaluate the performance of any hydroelectric power plant under the failure of its various components using fuzzy approach."
Philadelphia: Taylor and Francis, 2018
658 JIPE 35:8 (2018)
Artikel Jurnal  Universitas Indonesia Library
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"This book brings together studies broadly addressing human error from different disciplines and perspectives. It discusses topics such as human performance; human variability and reliability analysis; medical, driver and pilot error, as well as automation error; root cause analyses; and the cognitive modeling of human error. In addition, it highlights cutting-edge applications in safety management, defense, security, transportation, process controls, and medicine, as well as more traditional fields of application.
Based on the AHFE 2018 International Conference on Human Error, Reliability, Resilience, and Performance, held on July 21–25, 2018, in Orlando, Florida, USA, the book includes experimental papers, original reviews, and reports on case studies, as well as meta-analyses, technical guidelines, best practice and methodological papers. It offers a timely reference guide for researchers and practitioners dealing with human error in a diverse range of fields."
Switzerland: Springer Cham, 2019
e20501618
eBooks  Universitas Indonesia Library