Penerapan Metode Simple Additive Weighting Pada Penentuan Tingkat Kesejahteraan Penduduk Provinsi Nusa Tenggara Timur
Abstract
The importance of a system not only helping the work done quickly and easy but also could result accurate information. Recently many government's program especially related with society walfare those are not touch the right target because the inaccurate information about society welfare. Answering this problem, we need a system that resulting the accurate information about people welfare. To determine the level of people walfare use many criteria and alternative, to easing the determination of welfare level we need to applying Simple Additive Weighting method on the system because Simple Additive Weighting is one of completion method that involve many criteria and alternative. Through the information that result by the system that is level of people welfare in each regency of East Nusa Tenggara, hopefully could help the authority to determine which region to be priority for the implementation of the welfare developing program.
Keywords
References
Badan Pusat Statistik. (2001). Statistik Indonesia 2001, BPS. Jakarta
Didik, T. (2008).Sistem Pendukung Keputusan untuk Menentukan Tingkat Kesejahteraan Masyarakat. Jurnal Manajemen Informatika, Vol.10, No.1, Penelitian Pengabdian Masyarakat STIKOM, 47-56.
Kusumadewi, S. dkk. (2006). Fuzzy Multi-Attribute Decision Making (Fuzzy MADM), Yogyakarta: Graha Ilmu
Kusumadewi, S. (2006). Analisa Dan Desain Sistem Fuzzy Menggunakan Tool Box Matlab,Yogyakarta: Graha Ilmu
Hermawan, J. (2004). Membangun Decision Support System, Yogyakarta: Andi
Memariani, A., Amini, A., Alinezhad, A.. (2009). Sensitivity Analysis of Simple Additive Weighting Method (SAW): The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives. Journal of Industrial Engineering, Vol.2, No.4, 13-18.
Manokaran, E., Senthilvel, S., Subhashini, S., Muruganandham, R., Ravichandran, K., Mathematical Model for Performance Rating in Software industry - A study using Artificial Neural Network. International Journal of Scientific & Engineering Research, Vol.3, No. 4, ISSN 2229 – 5518.
Suryadi, (K), & Ramdani, A. (2002). Sistem Pendukung Keputusan – 3th ed. Bandung: PT. Remaja RosdakaryaRepublik Indonesia, Undang-undang RI Nomor 11 Tahun 2009
Yanto, G. (2012). Sistem Pendukung Keputusan Penanganan Jaminan KesejahteraanMasyarakat Menggunanakan Penalaran Fuzzy. Indonesian Journal of Computer Science, Vol.1, No.1, STMIK Indonesia Padang.
Refbacks
- There are currently no refbacks.