SISTEM PENJADWALAN KULIAH DENGAN MENGGUNAKAN ALGORITMA GENETIKA

Purwanto Simamora, Tulus ., Fakhruddin R Batubara

Abstract


Course scheduling is process of placing courses into available
time-and classroom slots. As number of course activities and
requirement needed increase, the solution to scheduling problem
become more complicated. In order to get a good course scheduling,
there are some important components such as lecturer, subject, student,
curriculum, classroom and time. The limitation of rooms and time is
often become a problem in making the course scheduling. The addition
number of the students and the subjects due to the application of the
new curriculum, and the other activity in university give the effects the
using of times and rooms. Course scheduling systems which is
adaptable in every. changing that happened. The course scheduling
must be able to overcome the limitation of each component such as the
number of the lecturer, times and rooms. This research uses two
methods in making the course scheduling which are by using the
scheduling algorithm and without using the scheduling algorithm.
These two methods will be combined into the genetic algorithm in
order to get a course scheduling which can reduce the problem in the
availability of rooms and times. The research result shows without
using the schedule algorithm these are 2 faults appear in the time
schedule and the minimum number of room which used is 9 rooms and
converged in the 1271h generation. But, by using the schedule algorithm
the number of the fault is no longer appear, the using of the room
becomes 8 rooms and converget in the 851h generation. It is concluded
that making the course scheduling by combining the schedule
algorithm and genetic algorithm is a right method in reducing the time
fault and minimizing the using of the room.


Keywords


Course Scheduling, Scheduling Algorithm, Genetic Algorithm, Convergen

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References


Adamanti, J. (2002): Penyelesaian

Masalah Penjadwalan Mata Kuliah di

Fakultas MIP A Universitas Gadjah

Mada dengan Menggunakan

Algoritma Genetika. Departemen

Pendidikan Nasional, Universitas

Gadjah Mada: Skripsi.

Babu, A.S., Chockalingam, R., dan

Kavitha, S. (2010): A Hybrid Genetic

Algorithm Approach to a

Departmental Class Timetabling

Problem Using Efficient Data

Structures. International Journal of

Computer Applications (0975-

Vol. 1-No.17.

Beasley, D., Bull, D.R., dan Martin R.R.

(1993): An Overview of Genetic

Algortihm: Part 1, Fundamental.

University Computing, Inter-

University Committee on

Computing.

Beasley, D., Bull, D.R., dan Martin R.R.

(1993): An Overview of Genetic

Algortihm: Part 2, Research Topics.

University Computing 15(4) 170 -

UCISA.

Bierwirth, C., Mattfeld, D.C., dan

Kopler, H. On Permutation

Representation for Scheduling

Problems. University of Bremen,

Dept. of Economics, D-28334

Bremen, Germany.

Burke, E.K., Petrovic, S. (2002): Recent

Research Direction in Automated

Timetabling. European Journal of

Operational Research-EJOR, 140/2,

-280

Burke, E., Elliman, D., dan Weare, R. A

Genetic Algorithm Based University

Timetabling System. Department of

Computer Science, University of

Nottingham, University Park, NG7

RD.

Harik, G.R., Lobo, F.G., dan Goldberg,

D.E. (1999): The Compact-- Genetic

Algorithm. IEEE Transactions on

Evolutionary Computation, Vol. 3,

No.4.

Murugan, A.S.R., (2009): University

Timetabling using Genetic Algorithm.

Master Thesis, Computing

Engineering, Dalama University

Roda Vagen 3 S-781 88 Borlange

Sweden.

Syadid, M. (2008): Penjadwalan

Perkuliahan Menggunakan Algoritma

Genetika. Departemen Ilmu

Komputer, Fakultas MIP A. Institut

Pertanian Bogor: Skripsi.

Yamada, T., Nakano, R. (1997): Genetic

Algorithms for ]ob-Shop Scheduling

Problems. Proceedings of Modem

Heuristic for Decision Support, pp.

-81, UNICOM Seminar, London


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