01762nam a2200205 a 4500001001400000003000700014005001700021008004100038020002200079040000800101100002400109245007500133260003700208300003300245502013500278504002500413520107700438650001601515650002501531vtls000018205KUKTEM20251114204340.0070213t2006    my a   f      000 0 eng d  aTHE0001696(Local)  aUMP0 aRosyusjuliza Yusoff10aPrototype of student degree classification/cRosyusjuliza binti Yusoff  aKuantan, Pahang :bKUKTEM,c2006  axiv, 51 p. :bill. ;c30 cm.  aProject paper (Bachelor of Computer Science (Software Engineering)) -- Kolej Universiti Kejuruteraan dan Teknologi Malaysia - 2006  aBibliography : p. 38  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. 0aFuzzy logic 0aSoftware engineering