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020 _aTHE0001696(Local)
039 9 _a201905131158
_byusri
_c201211011415
_dFida
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_zfarina
040 _aUMP
090 _aQA9.64 .R67 2006 rs Thesis
100 0 _aRosyusjuliza Yusoff
245 1 0 _aPrototype of student degree classification/
_cRosyusjuliza binti Yusoff
260 _aKuantan, Pahang :
_bKUKTEM,
_c2006
300 _axiv, 51 p. :
_bill. ;
_c30 cm.
502 _aProject paper (Bachelor of Computer Science (Software Engineering)) -- Kolej Universiti Kejuruteraan dan Teknologi Malaysia - 2006
504 _aBibliography : p. 38
520 _aDegree Classification normally classified after the student finished their study. The student degree classification forecasting is important to classify student degree class before the learning process ended. Therefore, the "Prototype of Student Degree Classification Forecasting (POSDC)" is the suggestion prototype that will solve the manual system used currently. The purpose of this prototype is to forecast student degree class by their student id or name. The forecasting result calculated based on their previous CGP A and credit hours countered for each semester. The student will be classified to 4 classes which are First Class Honours, Upper SeconddClass Honours, Lower Second-Class Honours and Third Class Honours. There are two users of this prototype which are Academic Advisor and REA staffs. The technique that used for this prototype is Fuzzy Logic Technique which is fuzzy rules because it is the most suitable technique applied for forecasting and the result shows that fuzzy rules also is a good technique applied for degree classification forecasting.
650 0 _aFuzzy logic
650 0 _aSoftware engineering
999 _aVIRTUA40
_c486
_d492
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992