Penerapan Algoritma C4.5 Untuk Klasifikasi Predikat Kelulusan Mahasiswa UIN Raden Fatah Palembang

Fitriyanti, Vina (2024) Penerapan Algoritma C4.5 Untuk Klasifikasi Predikat Kelulusan Mahasiswa UIN Raden Fatah Palembang. Undergraduate Thesis thesis, UIN Raden Fatah Palembang.

	Text view_usp=drive_link Download (100kB)
	Text view_usp=drive_link Download (99kB)
	Text view_usp=drive_link Restricted to Registered users only Download (99kB) | Request a copy
	Text view_usp=drive_link Restricted to Registered users only Download (100kB) | Request a copy
	Text view_usp=drive_link Restricted to Registered users only Download (99kB) | Request a copy
	Text view_usp=drive_link Restricted to Registered users only Download (99kB) | Request a copy
	Text view_usp=drive_link Restricted to Registered users only Download (99kB) | Request a copy
	Text view_usp=drive_link Download (99kB)

Abstract

Students are one of the nine criteria in BAN-PT used to measure the quality of higher education. The increasing graduation data can be used to extract useful new information and knowledge. Through the cumulative achievement index and length of study that results in a graduation designation, it can be used to identify quality graduates. In practice, the student's graduation predicate is based on the GPA obtained and the period of study for the honors predicate, while determining the group of students with a particular predicate cannot yet be known. Apart from that, the large amount of accumulated student graduation data with various attributes can be used to explore new information and knowledge. Utilizing the role of data mining is an alternative solution in this research to classify the graduation predicate of UIN Raden Fatah Palembang students with a classification technique using the C4.5 algorithm. This research aims to produce a classification model in the form of a decision tree to obtain patterns using the C4.5 algorithm and to determine the accuracy produced by the C4.5 algorithm in classifying students' graduation predicate at UIN Raden Fatah Palembang. The data sharing technique used is k-fold cross validation to divide the data into training and testing data. The k value used is k=3 with the accuracy of model testing using active student data obtained at 76.28% in the fair classification category. In classifying student graduation predicates using the C4.5 algorithm, this research produces a decision tree model with 243 rules formed with the influencing attribute, namely the student's GPA. The study program that received the most praise was the GPA "0", the Bachelor of Madrasah Ibtidaiyah Teacher Education study program with a combination of 3 attributes, namely the GPA "0", the "S1 Madrasah Ibtidaiyah Teacher Education" study program and the type of school "SMA". This can be used as decision-making support for universities and other study programs to evaluate and improve the implementation of the learning process and increase efforts to encourage an increase in student GPA to produce quality outcomes.

Item Type:	Thesis (Undergraduate Thesis)
Uncontrolled Keywords:	Graduation Predicate, Data Mining, Classification, C4.5 Algorithm
Subjects:	Sains dan Teknologi > Sistem Informasi
Divisions:	Fakultas Sains dan Teknologi > 57201 - Sistem Informasi
Depositing User:	Vina Fitriyanti NIM. 1930803057
Date Deposited:	20 Jan 2025 06:24
Last Modified:	20 Jan 2025 06:24
URI:	http://repository.radenfatah.ac.id/id/eprint/43676

Actions (login required)

View Item