7 research outputs found

    Complaint Analysis in Indonesian Language Using WPKE and RAKE Algorithm

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    Social media provides convenience in communicating and can present two-way communication that allows companies to interact with their customer. Companies can use information obtained from social media to analyze how the communities respond to their services or products. The biggest challenge in processing information in social media like Twitter, is the unstructured sentences which could lead to incorrect text processing. However, this information is very important for companies’ survival. In this research, we proposed a method to extract keywords from tweets in Indonesian language, WPKE. We compared it with RAKE, an algorithm that is language independent and usually used for keyword extraction. Finally, we develop a method to do clustering to groups the topics of complaints with data set obtained from Twitter using the “komplain” hashtag. Our method can obtain the accuracy of 72.92% while RAKE can only obtain 35.42%

    Experimental study of bolted austenitic stainless steel angles under tension

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    Experimental study of austenitic stainless steel angles has been carried out and described in this report. Fifteen types of specimens were observed in the experimental testing, all of grade 304 stainless steel. The experimental programme in this project consisted of geometric imperfection measurements, material tensile coupon tests, and tensile test on the fifteen prepared specimens. The obtained test results were used to analyse key properties which affect the ultimate strength capacity of the austenitic stainless steel angle. These results were also utilized to evaluate the accuracy of the current design guideline, such as the European code and American specification. Overall, both codes offer certain advantages, though further improvements remain possible.Bachelor of Engineering (Civil
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