STATISTICAL COMPARISON USING PAP AND PAN ASSESSMENT METHOD

SAPTARANI, FARADILA JIHAN (2018) STATISTICAL COMPARISON USING PAP AND PAN ASSESSMENT METHOD. Other thesis, Unika Soegijapranata Semarang.

[img] Text (COVER)
13.02.0151 FARADILA JIHAN SAPTARANI.COVER.pdf
Download (373kB)
[img] Text (BAB I)
13.02.0151 FARADILA JIHAN SAPTARANI.BAB I.pdf
Download (71kB)
[img] Text (BAB II)
13.02.0151 FARADILA JIHAN SAPTARANI.BAB II.pdf
Restricted to Registered users only
Download (283kB)
[img] Text (BAB III)
13.02.0151 FARADILA JIHAN SAPTARANI.BAB III.pdf
Download (66kB)
[img] Text (BAB IV)
13.02.0151 FARADILA JIHAN SAPTARANI.BAB IV.pdf
Download (1MB)

Abstract

ABSTRACT Department of informatics engineering at Soegijapranata Catholic University stored data of student's grade. In those data consist of student's grade every semester from various course. One of the course in those data is system admnistration. In every year the course is taken by some student and the student's grade result will stored in CSV file. In the CSV file consist of student's grade, serial number, and year. Those serial number is used to replacement of student's name and student's number (nim). The PAP and PAN method is completed using some formulas. PAP is usually called the criterion evaluation which is a different reference measure. PAN is a classical approach, because the achievement of student scores on a test compared with the appearance of other students who take the same test. Data structure that will be used in this program is doubly linked list. It will be stored student's grade in system admnistration course in each year. This program will calculated student's grade using PAP and PAN formulas, so can simplify the evaluating student's achievement scores process. The result of this program is comparison of student’s grade with PAP and PAN methods, this result presented by graphs. Keyword: PAP , PAN, linked list, graph

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 005 Computer programming, programs & data
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Lucius Oentoeng
Date Deposited: 21 Jun 2018 04:20
Last Modified: 15 Jun 2021 02:04
URI: http://repository.unika.ac.id/id/eprint/16158

Actions (login required)

View Item View Item
Unika Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.