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This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering ComTech: Computer, Mathematics and Engineering Applications Engineering, Mathematics and Computer Science Journal (EMACS)
Novita Hanafiah
Bina Nusantara University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics

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Complaint Analysis in Indonesian Language Using WPKE and RAKE Algorithm Rini Wongso; Novita Hanafiah; Jaka Hartanto; Alexander Kevin; Charles Sutanto; Fiona Kesuma
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.603 KB) | DOI: 10.11591/ijece.v8i6.pp5311-5317

Abstract

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%.
Pengembangan Aplikasi Penjadwalan Wisata Harian pada Smartphone dengan Pendekatan Scrum Yen Lina Prasetio; Novita Hanafiah; Agustinna Yosanny; Catharine Yolanda; Febrina Piecella Musbar; Denny Septianto
ComTech: Computer, Mathematics and Engineering Applications Vol. 5 No. 2 (2014): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v5i2.2175

Abstract

The technology development affects people activites especially in this 20th century. Mobile phone ischanged into smartphone and travelling becomes a new lifestlye. A Tourism scheduler with a reminder is created from this research to fulfill the new trend of people lifestyle. The travelling data is stored in the system and some information such as the point of interest of an area, hotel, and transportation to reach the area are provided. Waterfall model becomes the method to build this system. Hence, an application that can create a trip for the user is completely built in Blackberry application system, consist of the trip information. The history feature provided in this application can be an advantange for the user to choose the new travelling destination. Moreover, the application has a good interface follow the eight golden rules and has a good performance that helps the tourists/users to create their own schedule and set the reminder for them.
Damage Classification on Bridges using Backpropagation Neural Network Victoria Ivy Tansil; Novita Hanafiah; Alexander Agung Santoso Gunawan; Dewi Suryani
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 3 No. 2 (2021): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v3i2.7406

Abstract

Bridge structures can be damaged due to various factors such as pressure, vibration, temperature, etc. This study aims to detect damaged on bridges early so that accidents that can occur due to the damaged-on bridge can be avoided. The research method is divided into designing a model, building the model, and evaluating the model. The result of this research is a program that can classify healthy or damaged bridges using vibration data of tested points on bridges.
Co-Authors Agustinna Yosanny Alexander Agung Santoso Gunawan Alexander Kevin Catharine Yolanda Charles Sutanto Denny Septianto Dewi Suryani Febrina Piecella Musbar Fiona Kesuma Jaka Hartanto Rini Wongso Victoria Ivy Tansil Yen Lina Prasetio