Darmawan Sastra Negara
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MODEL PENGUKURAN KELELAHAN PEKERJA KONSTRUKSI DENGAN JARINGAN SARAF TIRUAN / NEURAL NETWORK: Pengukuran Kelelahan Pekerja Konstruksi Dengan Jaringan Saraf Tiruan / Neural Network Darmawan Sastra Negara; Mohammad Erfan; Annur Ma'aruf
STUDENT JOURNAL GELAGAR Vol. 2 No. 2 (2020): JURNAL GELAGAR
Publisher : TEKNIK SIPIL S-1 ITN MALANG

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Abstract

In implementing construction projects, it is necessary to pay attention to the implementation of Occupational Safety and Health (K3), which is an effort to prevent work accidents in the work environment. The purpose of K3 is to maintain the health and safety of the work environment and also to protect colleagues, workers' families, consumers, and other people who may also be affected by working conditions. Measurement of worker fatigue will be carried out using the Neural Network approach method. Neural Network is a machine learning algorithm that mimics how the neural networks of living things work. An artificial neural network is a network of many small processing units (called neurons), each of which performs a simple process, which when combined, results in complex behavior. Artificial neural networks can be used as a tool to model complex relationships between input and output in a system to find patterns in data. The test results on the neural network modeling show a high level of accuracy that is equal to 96%. Thus the results of this Neural Network can be trusted, because it has a level of accuracy close to the real / actual situation where the results of the numbers are close to 100% of the actual events.