Prediksi Durasi Kuliah Dengan Algoritma Classifier

Dublin Core

Title

Prediksi Durasi Kuliah Dengan Algoritma Classifier

Subject

Five words maximum, comma separated

Description

Studying and becoming a student for some students is the most exciting thing, they seem to
enjoy it very much, it is natural for students in this category to finish their study period on time
and some are even faster than the set time. Even though they themselves are also faced with
demands about how many credits they have to complete on time, doing assignments, thesis and
facing some lecturers' behavior which they think is unusual or they are often called killer terms.
But this is different from some certain students, they are impressed, on the contrary they cannot
enjoy it, so they become students who are lazy to come to college, lazy to do assignments and
also lazy to complete their thesis, this will certainly impact on their study period where it should
can be completed on time 4 years instead will be delayed to 5 years, 6 years and even up to 7
and 8 years or some even drop out (DO). Based on data from the Batam Open University
(POKJAR) study group, almost 99% of students who study there are working, of which 80% of
them can complete their studies on time, as if another 20% are not. This research will discuss
what is the root of their problem so that they cannot finish college on time. The results of this
study can later be a benchmark for decision making for the Batam Open University study group
(POKJAR) towards a better direction so that all parties benefit both students and the
management of the study group or the Open University itself.

Creator

Rika Harman, Evan Rosiska

Publisher

Perpustakaan Horizon Karawang

Date

2020

Contributor

Fajar bagus W

Format

PDF

Language

Indonesia

Type

Text

Files

Collection

Tags

,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon ,

Citation

Rika Harman, Evan Rosiska, “Prediksi Durasi Kuliah Dengan Algoritma Classifier,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/3257.