Penerapan Algoritma Particle Swarm Optimization Dalam Penjadwalan Mata Kuliah (Studi Kasus: Fakultas Bisnis dan Akutansi)

Oswandi, Meirobby (2019) Penerapan Algoritma Particle Swarm Optimization Dalam Penjadwalan Mata Kuliah (Studi Kasus: Fakultas Bisnis dan Akutansi). Other thesis, Universitas Katolik Musi Charitas.

[img] Text
IF-2019-1313024-cover.pdf

Download (194kB)
[img] Text
IF-2019-1313024-abstract.pdf

Download (85kB)
[img] Text
IF-2019-1313024-tabelofcontent.pdf

Download (204kB)
[img] Text
IF-2019-1313024-chapter1.pdf

Download (238kB)
[img] Text
IF-2019-1313024-chapter2.pdf
Restricted to Repository staff only

Download (602kB)
[img] Text
IF-2019-1313024-chapter3.pdf
Restricted to Repository staff only

Download (1MB)
[img] Text
IF-2019-1313024-chapter4.pdf
Restricted to Repository staff only

Download (908kB)
[img] Text
IF-2019-1313024-conclusion.pdf

Download (89kB)
[img] Text
IF-2019-1313024-reference.pdf

Download (194kB)
[img] Text
IF-2019-1313024-attachment.pdf
Restricted to Repository staff only

Download (1MB)
[img] Text
IF-2019-1313024-complete.pdf
Restricted to Repository staff only

Download (3MB)
[img] Text
IF-2019-1313024-summary_id.pdf
Restricted to Repository staff only

Download (899kB)

Abstract

The need for good scheduling is in various places, such as factories needing production schedules, schools need learning schedules, while universities need class schedules. Scheduling of lectures is carried out by the head of each study program. After obtaining information from the lecturers, then each study program chairman arranged the class schedule. After that, the schedule of each study program will be combined with other study programs by the Head of Administration of the Faculty of Business and Accounting (Ka Tu Tu FBA). The problems that arise in the process of combining the scheduling of courses at the Faculty of Business and Accounting are teaching lecturers, spaces, and courses that are often scheduled at the same time even known during the period of filling out the study plan by students. This scheduling problem can be made easier if there is a system that can arrange the schedule automatically while taking into account the existing factors.

Item Type: Thesis (Other)
Additional Information: Skripsi Lengkap dapat dibaca di Ruang Referensi Perpustakaan UKMC Kampus Bangau.
Uncontrolled Keywords: Scheduling, Courses, Particle Swarm Optimization.
Subjects: T Technology > T Technology (General)
Divisions: Theses - S1 > Informatics Study Program
Depositing User: Perpustakaan Unika Musi Charitas
Date Deposited: 04 May 2019 01:14
Last Modified: 04 May 2019 01:14
URI: http://eprints.ukmc.ac.id/id/eprint/2540

Actions (login required)

View Item View Item