Decision support system in Predicting the Best teacher with Multi Atribute Decesion Making Weighted Product (MADMWP) Method

Solikhun Solikhun(1*),

(*) Corresponding Author


Predicting of the best teacher in Indonesia aims to spur the development of the growth and improve the quality of the education. In this paper, the predicting  of the best teacher is implemented based on predefined criteria. To help the predicting process, a decision support system is needed. This paper employs Multi Atribute Decesion Making Weighted Product (MADMWP) method. The result of this method is tested some teachers in  junior high school islamic boarding Al-Barokah school, Simalungun, North Sumatera, Indonesia. This system can be used to help in solving problems of the best teacher prediction.

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Kemendikbud, 2012.

Sauter, V.L (1997). Decision Support Systems: An Applied Managerial Approach. New York: John Willey & Sons, Inc.

Musen, M.A., Blackford M., and Robert A.G. Clinical decision-support systems. Biomedical informatics, Springer London, 2014.643-674.

Sugumaran, R.and DeGroote, J. 2011. Spatial Decision Support Systems Principles and Practice. Florida: CRCPress.

Turban, E., Rainer, R.K and Potter, R.E (2005). Introduction to Information Technology. Hoboken: John Willey & Sons.

Qian, G., Hai, W., and Xiangqian, F. Generalized hesitant fuzzy sets and their application in decision support system. Knowledge-Based Systems 37 (2013): 357-365.

Zhou, M. 2011. Communication in Computer and Information Science . New York : Springer.

Suryadi, K. and Ramdhani, M.A. 1998. Sistem Pendukung Keputusan: Suatu Wacana Struktural Idelisasi dan Implementasi Konsep Pengambilan Keputusan. Bandung: Remaja Rosda karya Offset.

Bidgoli, H. (1989). Decision Support Systems: Principle and Practice. St Paul: West Publishing Company.

Bidgoli, H. (1989). Decision Support Systems: Principle and Practice. St Paul: West Publishing Company.

Demirkan, H., and Dursun, D. Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decision Support Systems 55.1 (2013): 412-421.

Savitha, K. danChandrasekar, C. (2011). Vertical Handover decision schemes using SAW and MADMWP for Network selection in Heterogeneous WirelesNetwoks. Double Blind Peer Reviewed International Research Journal, 11 (9) :19-24.

Heri Nurdiyanto, Hermanto Hermanto, “Signature Recognition using Neural Network Probablisitc”, International Journal of Advances in Intelligent Informatics, Vol. 2, Issue 1, pp. 46-53, 2016

Heri Nurdiyanto, Putut Hasto Kuncoro, “Expert System for Measuring the Sugar-content in Sugarcane Using Forward Chaining Method”, ASEAN/Asian Academic Society International Conference Proceeding Series, Vol. 1 Issue 1, pp. 79, 2016

Heri Nurdiyanto, Robbi Rahim, “Decision Support System for Electrical Power Selection to Household Users”, International Confrence of Science Infrastructure Technology and Regional Development, Vol.1, issue 1, pp 23, 2017

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