Devinsen, Oscar and Sutedi, Sutedi (2022) Pemanfaatan Data Tracer Study Untuk Membangun Business Intellegence di IIB Darmajaya. Skripsi thesis, Darmajaya Institute Of Informatics and Business.
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Abstract
Tracer Study is one of the programs carried out by all universities in Indonesia, as a form of monitoring alumni that have been produced by universities, in the sense that each university always evaluates its implementation. The data from the tracer study contains the year of graduation, major, occupation, salary, accuracy of graduation, GPA, gender, field of work. Then in the implementation of the tracer study using surveys, questionnaires from the google form link and surveyors, the surveyor is the person in charge of contacting alumni by telephone, whatsapp, and email then if all fail to be contacted, the surveyor will stalk from social media. However, at the Darmajaya Institute of Informatics and Business, which has many alumni, of course, there is a lot of accumulated tracer study data which will make it difficult for decision makers to read the information contained in it. This problem can be solved by the Apriori Algorithm method. Of course the Apriori Algorithm because this method is very popular for finding high frequency patterns. Based on that the Apriori Algorithm in extracting hidden information from the tracer study data went well. Keywords : Apriori Algorithm, Data Mining, Business Intelligence and Rapid Miner.
Item Type: | Thesis (Skripsi) |
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Subjects: | eSkripsi |
Divisions: | Skripsi/TA & PKPM/KP - Fakultas Ilmu Komputer > Sistem Informasi |
Depositing User: | Oscar Devinsen |
Date Deposited: | 27 Jun 2022 01:24 |
Last Modified: | 27 Jun 2022 01:24 |
URI: | http://repo.darmajaya.ac.id/id/eprint/7503 |
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