Penentuan Kualitas Air untuk Perkembangan Ikan Lele Sangkuriang Menggunakan Metode Fuzzy SAW

  • Dony M Sihotang Universitas Nusa Cendana
Keywords: Kualitas air, ikan lele Sangkuriang, Sistem Pendukung Keputusan, F-SAW

Abstract

The purpose of this paper is to implement Fuzzy Simple Additive Weighting (F-SAW) method in determination of water quality for the development of Sangkuriang catfish, using six criteria, i.e. temperature, pH, DO, brightness, plankton, and odor, using 15 alternatives (pool). There are two test scenarios that have been done in this research to obtain system accuracy level, which are: 1) result of system compared with assessment from an expert; and 2) the results of the system compared with assumption of the study that the alternative with the best data should be ranked first and the alternative with the worst data should be rated last. The results obtained from the first scenario shows the level of accuracy is 87%, while the results obtained from the second scenario shows 100% accuracy rate.

References

R. Zulkarnain dan T. Susilowati, “Sistem Pendukung Keputusan Pemilihan Bibit Ikan Lele Berkualitas Menggunakan Metode SAW,” Proc. KMSI, 2015, hal 434-441.

"Provinsi NTT dalam Angka,” Badan Pusat Statistik Provinsi Nusa Tenggara Timur, 2015.

C.E. Boyd, “Water Quality Management in Aquaculture”, Indian Council of Agricultural Research, 1984.

D. Rachmawati, I. Samidjan, dan H. Setyono, “Manajemen Kualitas Air Media Budidaya Ikan Lele Sangkuriang dengan Teknik Probiotik pada Kolam Terpal di Desa Vokasi Reksosari,” Pena Akuatika, Vol. 12, No. 1, hal. 24-32, 2015.

P.S. Leung, “Multiple Criteria Decision Making Applications in Fishery Managementater,” Int. J. Environmental Technology and Management, Vol. 6, No. 1-2, 2006.

Adriyendi, “Multi-Attribute Decision Making Using Simple Additive Weighting and Weighted Product in Food Choice,” I.J. Information Engineering and Electronic Business, Vol. 6, hal. 8-14, 2015.

D.M. Sihotang, “Perbandingan Metode Skoring dan Metode Fuzzy dalam Penentuan Zona Resiko Malaria di Pulau Flores,” JNTETI., Vol. 5, No. 4, hal. 302–308, Nov. 2016.

W. Wang, “Smallest Confidence Intervals for One Binomial Proportion,” Journal of Statistical Planning and Inference, Vol. 136, hal. 4293-4306, 2006.

E. Irfan dan K. Nilsen, “Comparison of Fuzzy AHP and Fuzzy TOPSIS Methods for Facility Location Selection,” International Journal advanced Manufacturing Technology, Vol. 39, No. 7-8, hal. 783-795, 2008.

M.K Sagar, P. Jayaswal, dan K. Kushwah, “Exploring Fuzzy SAW Method for Maintenance Strategy Selection Problem of Material Handling Equipment,” International Journal of Current Engineering and Technology, Vol. 3, No. 2, hal. 600-605, 2013.

E. Sediyono, A. Setiawan, dan D.R. Kaparang, “Fuzzy Simple Additive Weighting Algorithm to Determine Land Suitability for Crop in Minahasa Tenggara,” International Journal of Computer Applications, Vol. 84, No. 7, hal. 26-29, 2013.

Muktiani, Budidaya Lele Sangkuriang dengan Kolam Terpal, Yogyakarta, Indonesia: Penerbit Pustaka Paru Press, 2011.

“Volume Produksi Lele,” Direktorat Perikanan, 2014.

Published
2018-11-22
How to Cite
Dony M Sihotang. (2018). Penentuan Kualitas Air untuk Perkembangan Ikan Lele Sangkuriang Menggunakan Metode Fuzzy SAW. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 7(4), 372-376. Retrieved from https://dev.journal.ugm.ac.id/v3/JNTETI/article/view/2629
Section
Articles