LOGIN DAFTAR Pilih tipe account, lalu klik daftar untuk melakukan pendaftaran. LUPA PASSWORD Bagi Mahasiswa dan Dosen yang lupa dengan passwordnya, silahkan untuk menggunakan fasilitas lupa password »
UNIKOM Network Jumlah Pengunjung : 69196296 |
Materi: EXTENDED FUZZY TOPSIS TO IMPROVE PREDICTION STUDENT ON SELECTION PROPERLY MAJORS AT VOCATIONAL SCHOOLListing Materi Perkuliahan / EXTENDED FUZZY TOPSIS TO IMPROVE PREDICTION STUDENT ON SELECTION PROPERLY MAJORS AT VOCATIONAL SCHOOL
EXTENDED FUZZY TOPSIS TO IMPROVE PREDICTION STUDENT ON SELECTION PROPERLY MAJORS AT VOCATIONAL SCHOOL This research aimed to predictability students on every test as a prerequisite to
enter the major. Fuzzy Topsis, with the criteria and alternative approaches, can
be determined according to the problems applied. The problem in fuzzy Topsis
is not provided classification in the last step when we obtained many predictions
classification. Fuzzy Topsis was executed only to get rank in a case. In order to
solve that problem, we added a function in the last step fuzzy Topsis-like rule
base. The rule base was divided into four majors, such as software engineering,
animation, networking, and multimedia. To complete the prediction, we
introduced some criteria that deployed some assessments, such as final
examination, competency test, report, physical test, interview, and psychological
tests. The results obtained for the process precision were 59.2%, and recall
acquired 60%. The reason why the precision and recall were not got a high value
because the dataset was very short (over fit), and only 270 to process in extended
fuzzy Topsis. Another reason was the preference of function that was not proper
for the dataset and imbalanced data, and dataset centered in one favorite major
that was network and S/W engineering Update : 12:24:51 07/09/2020 |