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All Journal Kontigensi: Jurnal Ilmiah Manajemen
Abd. Rahman
UPT TIPD IAIN Palopo
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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Implementation of The Simple Additive Weighting Method in Solving Decision Making Problems Abd. Rahman
Kontigensi : Jurnal Ilmiah Manajemen Vol 8 No 2 (2020): Kontigensi: Jurnal Ilmiah Manajemen
Publisher : Program Doktor Ilmu Manajemen, Universitas Pasundan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56457/jimk.v8i2.232

Abstract

Decision making to determine prospective Bidikmisi scholarship recipients is based on various criteria and parameters. In the process, the evaluation of these criteria and parameters often results in various errors. For that we need a system that can eliminate these errors. Computerized-based system is a solution that can overcome these problems. The system can use a variety of methods and depending on each need. For the selection case for Bidikmisi scholarship recipients, the Simple Additive Weighting algorithm is suitable to be applied, considering that from several studies related to the application of this algorithm in supporting decision making, it turns out that it can provide a fast and accurate solution. It is hoped that the results of this research can later be implemented in the selection process for Bidikmisi scholarship recipients at IAIN Palopo so that a list of Bidikmisi scholarship recipients can be obtained quickly and accurately.
Implementation of the Harmony Search Algorithm in Completing Lecture Scheduling Abd. Rahman
Kontigensi : Jurnal Ilmiah Manajemen Vol 6 No 2 (2018): Kontigensi: Jurnal Ilmiah Manajemen
Publisher : Program Doktor Ilmu Manajemen, Universitas Pasundan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56457/jimk.v6i2.239

Abstract

Scheduling lectures at a college is a routine activity every semester and is a process to implement events that contain components of courses and classes in time slots that contain components of time and space. The problem that often occurs in scheduling activities is the occurrence of conflicts between one schedule and another. One method to solve these problems is to use artificial intelligence (AI). One method in AI that is considered to provide a solution to scheduling problems is Harmony Search. Harmony Search is an area of computer science that bases its algorithms on music. The Harmony Search algorithm compares music with all its devices to optimization problems. For example, each musical instrument is associated with a decision variable; the musical pitch is associated with a variable value, harmony is associated with a solution vector. Like a musician who plays certain music, improvises playing a random tone, or based on experience to find a beautiful harmony, the variables in Harmony Search have random values or values obtained from iterations (memory) to find the optimal solution. By applying the Harmony Search algorithm to prepare the lecture schedule, it is hoped that an optimal arrangement of the lecture schedule can be created.
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