My Experience in FEP

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Artificial Intelligence (Machine Learning)


Based on Wikipedia, Machine Learning is the sub-field of computer science that “gives computers the ability to learn without being explicitly programmed” (Arthur Samuel, 1959).  So, in my perspective based on that statement, Machine Learning is a computer process to learn from data, the point is about how a machine “learn” and recognize human language. Data must be prepared in advance, because Machine Learning can’t work without the data. All the knowledge of Machine Learning will inevitably involve data. Data can be similar, but the algorithm will differ to obtain optimal results.

In my opinion, nowadays, Machine Learning is very useful if you are working with large amounts of data and you want to make predictions or calculations based on that data. The examples of Machine Learning usage that can be easily found in our daily activities are :

  1. Spelling check feature for each language in Microsoft Word.
  2. Google Translate.
  3. Labeling faces on Facebook.


By using Machine Learning, I want to make an application to examine whether there is plagiarism in articles or text or not, the benefit of this application is to reduce fraud in making an article, such as a thesis, essays, reports, etc. How this application works is that the user will be asked to upload articles or text into the application and the application will show the percentage of plagiarism which contained in the text and from which source the plagiarism comes.


Written By :

Gusti Virginia Miharja


Odd Semester 2016/2017

School of Computer Science, Bina Nusantara University


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