Daneswara, Claudius Andika (2020) IMPLEMENTATION OF DATA MINING IN PT. X FOR BUSINESS ANALYSIS. S1 thesis, Universitas Atma Jaya Yogyakarta.

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Data is one of the important features for every business and organization. It helps the company to make decisions based on statistics and facts. In line with the fourth industrial revolution where industrial practices are combined with the latest smart technology, there also exist more and more data. Any incumbents that cannot reshape and rejuvenate their core business doubtlessly shall be perished. PT. X is a printing company which is still in the process of restructuring their body so that their business can keep pace with the times. With the development of technology and e-book, the company started to face difficulties to maintain their core business in printing. Somehow the dispute on the company printing’s sustainability started to emerge. The idea of diversifying the company’s products and services also to offer them into a wider section of the existing market becomes a hot topic and idea within the company. Building a cafe or coworking space becomes one of the decisions. But in further planning, the company is facing doubt about this idea, because they do not have any empirical study yet to show the customer’s or people’s opinion about the cafe. This idea is important in order to create strategies and concepts later on for the company. Another issue that the company face is that they do not have a clear idea of what metrics are important, and which cafe to follow or imitate. In this case, data mining can help out the company to objectify their plan of building a cafe or coworking space by serving insights regarding customer’s opinions through social media analysis.

Item Type: Thesis (S1)
Uncontrolled Keywords: Data Mining, Natural Language Processing, Bag of words, Term Frequency-Inverse Document Frequency, Python
Subjects: Industrial Engineering > Production and Inventory Management
Divisions: Fakultas Teknologi Industri > Teknik Industri Internasional
Depositing User: Editor UAJY
Date Deposited: 25 Nov 2020 03:55
Last Modified: 25 Nov 2020 03:55

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