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Data Prosiding - Tahun 2015

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Multi-Object Tracking And Detection System Based On Feature Detection Of The Intelligent Transportation System
Author

Taufiq Nuzwir Nizar, M.Kom, M.T

Abstrak
This study aims to develop a system to detect traffic conditions by using computer vision. The system detects the presence of cars, motorcycles and pedestrians in the traffic; and also calculates the detected objects. The system detects the objects by using feature extraction method that is Histogram Oriented Gradient (HOG) and using linear Support Vector Machine (SVM) classifier. The system calculates the number of detected object by using the Kanade-Lucas-Tomasi (KLT) feature tracker. The implemented system has an average accuracy of 95.15%. Performance of HOG method and KLT algorithm was good enough to deal with the change of the brightness changes, but was not good enough to deal with pepper noise.
Nama Prosiding

IEEE Xplore
Volume 0 Nomor 15180

URL

https://ieeexplore.ieee.org/document/7111795

DOI

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Framework Development And Measurement Of Operator Workload Using Modified Cooper Harper Scale Method (Case Study In Pt Sinar Terang Logamjaya Bandung West Java)
Author

Prof. Dr. Ir. H. M. Yani Syafei, M.T, CSBA.

Abstrak
PT Sinar Terang Logamjaya is an automotive components manufacturer for motorcycles and car). The industry is dealing with materials from iron plate and process with sheet metal shaping techniques to produce products. One of the product is a motorcycle component, is called Oil Lock Collar. This product is been made in large quantities to meet demands. Hence, it is resulted in the workload experienced by workers and will touch on the productivity of workers. Modified Cooper Harper Scale (MCH) is a 10-point scale that was originally produced to assess the subjective workload of airplane pilots. The original index probes overall ease of handling of the selected task or required operation and asks more specific questions related to the aircraft characteristics, the demands on the pilot, and finally, the pilot rating. This method is fit to evaluate work activities with the manual controls. MCH scale decision tree shaped with a rating scale from very easy (point 1) to very difficult (10 points). This study has two purposes. First wqs modified version of MCH scale which was used to measure the subjective workload of performing in industrial process. The second purpose was concerned with the categorizing task activities into under load category, optimal category, or overload category. Based on the framework that has been built, 8 operators were selected and they have to fill up the form to be assessed by MCH to obtain operator feel about their tasks. The results of the data processing indicate that 12 task activities were under load categorized, 5 task activities were optimal category and 11 task activities were overload category. This result can be useful for the industry to change work processes or maximum demand of products. Keywords: Subjective Workload, Framework, Measurement, Cooper Harper Scale
Nama Prosiding

International Seminar on Industrial Engineering & Management (8 th ISIEM )
Volume 8 Nomor 1

URL

http://repository.unpas.ac.id/3763/

DOI

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