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Rescheduling will produce not efficient in time it spends long time and changing the lecturer with other lecturer will give a bad performance for
new lecturer might be the new lecturer is not ready to teach because of the short time.
Based on observation, a previous research: Annisa 2009 had not overcome the problem and she did not use any specific optimization method
to find the best solution in scheduling problem and other previous researches, they are: Ivan 2008 and Aria 2008 had overcome the problem
by implementing genetic algorithm method. Based on the explanation above, the writer decides the genetic
algorithm for developing an application which the writer called it
“Lecturing Scheduling System at Informatic Engineering Major Islamic University Syarif Hidayatullah Jakarta Using Genetic Algorithm
”.
1.2. Objective of the Study
The main theme of this thesis centres on a few fundamental questions, such as: What is Lecturing Scheduling System data and what are the
characteristics of a system that caters to this data? Who are the users of this system and what is the range of its usage? What factors influence the
adoption of the solutions that have been provided by Information Technology to the problem of effective use of the lecturing scheduling
system? What would be an ideal system that would enable the users to make full use of the system?
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More specifically the aims of this study are defined and explained below. 1. To optimize the lecturing scheduling at Informatic Engineering major
so it will avoid the clash of the room between Informatic Engineering major and other major.
2. To produce the best value for fitness value as genetic algorithm using fitness value and find the population of solution.
1.3. Context of the Study
In this thesis writing, the writer gives the scope of “Lecturing Scheduling System at Informatic Engineering Major Islamic
University Syarif Hidayatullah Jakarta Using Genetic Algorithm”
. The area that will be include:
1. This system will work only for searching the room for process study. The application:
a. The system will give input from the secretary: the day, the session, the room local, the course subject, the lecturer’s name.
b. After the secretary giving the input, the genetic algorithm will process the table of lecturer, room and class then it will produce
the output. c. The system will give the output:
Lecturer’s name, course subject, day, session, time for lecturing, credit and room.
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2. This system processes the data only in the even semester in year
20092010. If the user wants to process other semester, the user must giving input about the elements needed for that semester, they
are : course subject and lecturer. 3.
Each session is only for meetings that have weight two credits hour.
4. The writer uses waterfall as the methodology research. 5. This system is using MySQL as the database server.
1.4. The Purpose of The Research
