Aplikasi Data Mining untuk Mencari Pola Asosiasi Tracer Study Menggunakan Algoritma FOLDARM

Lisna zahrotun, Tedy Setiadi, Taufik Mufti Haryadi



Abstrak


The Tracer Study is an approach that allows higher education institutions to obtain information about possible deficiencies in the educational process and learning process and can for planning activities for future improvement. In the Institute of Student Affairs has never done tracer study data analysis, although the tracking of graduate data has been periodic and web-based but some data is still stored in the form of excel. During this tracer study process is only done on each study program at the time will make the submission of accreditation.

In this research will focus on making the application of association pattern with FOLDARM method in tracer study. The program is created using the CI Framework programming language and uses the mysql php database. The test is done using the lift ratio method.

In this research, the association patterns that meet the above criteria are counted 3, 24% support and confident 45%. By using the test using lift ratio, the pattern that has the strongest relationship is if the waiting period is looking for work 3- 5,9 month and salary first work Salary <1,572,200 and value of IPK 2.75 - 3.50 and age when pass For Age 15-24 years then Graduation is not on time



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Referensi


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Alamat Redaksi :
Jurusan Sistem Informasi, Fakultas Teknologi Informasi
Universitas Andalas
Kampus Limau Manis, Padang 25163, Sumatera Barat

email: teknosi@fti.unand.ac.id

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Creative Commons License
This work by si.fti.unand.ac.id is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.