Wiguna, Indra (2019) Sistem Pendukung Keputusan Menentukan Guru Teladan Menggunakan Metode Simple Additive Weighting (SAW) Berbasis Web (Studi Kasus: MTs Muhammadiyah Srumbung). Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
Having professional teacher and teaching staff is a must for schools to carry out a quality education process. So is MTs Muhammadiyah Srumbung. For this reason, schools always encourage to increase teacher professionalism by monitoring the work of teachers in implementing their duties, therefore, they can achieve specified standards competency. Decision support systems are generally defined as a system which is capable to give solutions and overcome problems. Decision support systems are not intended to replace the role of decision makers, but to help and support decision makers. In the role of decision support systems in the context of the whole information system, it is intended to improve performance through the application of information technology and determine the approach used starting in the decision making process to evaluate interactive selection. One method which is often used in decision support systems is the Simple Additive Weighting (SAW) method. This Simple Additive Weighting (SAW) method is chosen because it can determine the weight value for each attribute, then proceed with a ranking process which will select the best alternative from a number of alternatives. In this case, the intended alternative is the determination of the performance of exemplary teachers at MTs Muhammadiyah Srumbung using the Simple Additive Weighting (SAW) method. With the ranking method, it is expected that the assessment will be more appropriate because it is based on the criteria and weighted values, therefore the maximum results are obtained . Key Words: Decision Support Systems, Simple Additive Weighting, Teacher
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 02 Apr 2019 07:29 |
| Last Modified: | 02 Apr 2019 07:29 |
| URI: | http://eprints.uty.ac.id/id/eprint/2667 |
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