International Journal of Information Engineering and Electronic Business (IJIEEB)
IJIEEB Vol. 7, No. 6, 8 Nov. 2015
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Multi-Attribute Decision Making Using Simple Additive Weighting and Weighted Product in Food Choice
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Author(s)
Adriyendi
1,*
Index Terms
Alternative, attribute, simple additive weighting, weighted product, food choice
Abstract
This paper provide an overview of the analysis and implementation Multi-Attribute Decision Making (MADM) for food selection or food choice. Food choice aim to find the solution on lack of food. Food choice can be doing with diversification. Food diversification aims to find best choice of food alternatives. Food alternative is rice, corn, cassava, potato, sago, sorghum, wheat, and analog rice. The method used is Simple Additive Weighting (SAW) and Weighted Product (WP). The use of this method is expected to help and provide the best decision in food choice. Alternative on MADM as data training, alternative on SAW method and alternative on WP method as data testing. Experimental result on SAW method, best alternative (highest value) is wheat with value 0.8833. On WP method, best alternative (highest value) is wheat with value 0.1563. On SAW method and WP method, decision is the same with wheat as best alternative in MADM on food choice.
Cite This Paper
Adriyendi, "Multi-Attribute Decision Making Using Simple Additive Weighting and Weighted Product in Food Choice", International Journal of Information Engineering and Electronic Business(IJIEEB), vol.7, no.6, pp.8-14, 2015. DOI:10.5815/ijieeb.2015.06.02
Reference
[1]J. Mariyono, "The economic performance of indonesian rice-based agribusiness", International Journal of Administrative Science & Organizaton, Vol. 21, No. 1, pp. 35-43, 2014.
[2]A. Ridhawanah, Z. Lubis, and E. Nasution, "A study of food consumption and nutritional status on street children in medan city 2014", Publich Health Journal, pp. 1-9, 2015.
[3]R. H. Puspadewi, and D. Briawan, "Perception of healthy food, motives food choice and healthy eating of undergraduate students", Nutrition and Food Journal, Vol. 9, No. 3, pp. 211-218, 2014.
[4]Bhat F. M, Riar C. S, "Health benefits of traditional rice varieties of temperate regions", Med. Aromat Plants 4: 198, Vol. 4, Issue 3, 2015.
[5]M. Ismayanti, and Harijono, "Formulation of complementary feeding based on germinated cowpea flour and corn using linear programming", Agro-Industry and Food Journal, Vol. 3, No. 3, pp. 996-1005, 2015.
[6]Tonukari, N.J., Ezedom, T., Enuma, C.C., Sakpa, S.O., Avwioroko, O.J., Eraga, L. and Odiyoma, E. "White gold: cassava as an industrial base", American Journal of Plant Sciences, Vol. 6, pp. 972-979, 2015.
[7]D. J. Liska, C. M. Cook, D. D. Wang, and J. Szpylka, "Maillard reaction products and potatoes: have the benefits been clearly assessed", Food Science and Nutrition, Wiley Periodicals Inc, 2015.
[8]M. Romadhoni, and Harijono, "Pasting properties of lesser yam flour, sago starch and carrageenan and its potential for vermicelli", Agro-Industry and Food Journal, Vol. 3, No. 1, pp. 53-60, 2015.
[9]K. Patil, "Health benefits of food: organic facts", Organic Information Services Pvt Ltd, 2015.
[10]S. S. Yuwono, and A. A. Zulfiah, "Formulation of analogue rice base mocaf and maizena flour with addition cmc and tofu waste flour", Agro-Industry and Food Journal, Vol. 3, No. 4, pp. 1465-1472, 2015.
[11]C. Ruan, and J. Yang, "Hesitant fuzzy multi-attribute decision-making method considering the credibility", Journal of Computational Information Systems, Vol. 11, pp. 423-432, 2015.
[12]M. Jaberidoost, L. Olfat, A. Hosseini, A. Kebriaeezadah, M. Abdollahi, M. Alaeddini, and R. Dinarvand, "Pharmaceutical supply chain risk assessment in iran using analytical hierarchy process and simple additive weighting methods", Journal of Pharmaceutical Policy and Practice, pp. 8-9, 2015.
[13]R. N. P. Atmojo, "Simulation modelling of tablet pcs selection using weighted product algorithm", Applied Mathematical Sciences, Vol. 8, No. 115, pp. 5705-5719, 2014.
[14]B. Prihasto, M. I. Irawan, A. Masduqi, "Fuzzy madm method for decision support system based on artificial neural network to water quality assessment in surabaya river", Journal of Soft Computing and Decision Support Systems, Vol. 1, No. 1, pp. 24-29, 2014.
[15]M. Ahsan, P. B. Santoso, and H. S. Dachlan, "Multiple intelligence for determining field of study at sma using multi-attribute decision making", EECCIS Journal, Vol. 9, No. 1, pp. 25-31, 2015.
[16]E. Sediyono, A. Setiawan, 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, pp. 26-29, 2013.
[17]H. Ismanto and Azhari, "Multi attribute decision making method for determination of regional development plan priority in papua province based on the indicator of gross regional domestic product", International Journal of Computer Applications, Vol. 117, No. 7, pp. 21-26, 2015.
[18]R. N. P. Atmojo, "Simulation modelling of tablet pcs selection using weighted product algorithm", Applied Mathematical Sciences, Vol. 8, No. 115, pp. 5705-5719, 2014.
[19]L. Abdullah and C.W. R. Adawiyah, "simple additive weighting methods of multi criteria decision making and applications: a decade review", International Journal of Information Processing and Management, Vol. 5, No. 1, pp. 39-49, 2014.
[20]K. S. S. Anupama, S. S. Gowri, B. P. Rao, and P. Rajesh, "Application of madm algorithms to network selection", International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, Vol. 3, Issue 6, pp. 64-67, 2015.