Fuzzy Logic using Tahani Model on Food Commodity

Full Text (PDF, 663KB), PP.1-11

Views: 0 Downloads: 0


Adriyendi 1,*

1. IAIN Batusangkar, Indonesia

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2017.07.01

Received: 28 Dec. 2016 / Revised: 26 Mar. 2017 / Accepted: 1 May 2017 / Published: 8 Jul. 2017

Index Terms

Fuzzy logic, tahani model, food commodity, query, database


Seasonal vegetable plants are one of food commodity in Indonesia which contributed significantly in supporting the growth of national economy. Fuzzy Logic using Tahani Model is appropriate to analyze the harvested area, production, and yields of food commodity. It is based on query in fuzzy database. It is also can be proposed as recommendation for both government and entrepreneur in achieving in the target based on query. Target is main priority of food commodity. Fuzzy query is harvested area (medium), production (sufficient), and yield (normal). Non fuzzy query is commodity (export commodities), harvest (plants harvested several times), and form of product (fresh fruit). Result showed that eggplant (0.6587), tomato (0.6023), cucumber (0.5865), capsicum frutescens (0.2901), and capsicum annum (0.1581) as recommendation for priority of national food policy.

Cite This Paper

Adriyendi, "Fuzzy Logic using Tahani Model on Food Commodity", International Journal of Intelligent Systems and Applications(IJISA), Vol.9, No.7, pp.1-11, 2017. DOI:10.5815/ijisa.2017.07.01


[1]BPS Statistics Indonesia, “Statistics of seasonal vegetable and fruit plants”, Sub-directorate of Holticulture Statistics, pp. 1-114, 2015.
[2]A. Amini and N. Nikraz, “Proposing two defuzzification methods based on output fuzzy set weights”, International Journal of Intelligent System and Applications, MECS Publisher, vol. 8, no. 2, pp. 1-12, 2016.
[3]Z. Hu, Y. V. Bodyanskiy, O. K. Tyshchenko, and V. O. Samitova, “Fuzzy clustering data given on the ordinal scale based on membership and likelihood function sharing”, International Journal of Intelligent System and Applications, MECS Publisher, vol. 9, no. 2, pp. 1-9, 2017.
[4]G. Singh, P. Kunai and D. Goyal, “A review fuzzy logic and its application”, International Journal of Engineering and Technical Research, pp. 61-66, 2014.
[5]A. Nurlayli, U. Pujianto and F. Alqodri, “Implementing fuzzy tahani model for recommendation locate of apprentice”, National Seminar Information System, Indonesia, pp. 501-508, 2015.
[6]I. Nazir, “Decision support system for selection pc tablet by using fuzzy tahani model”, Final Project, Informatics Engineering, UIN SUSKA, pp. 1-96, 2013.
[7]S.A. Aklani, “Decision support system for the period of study and index student achievement using fuzzy tahani method”, Pelangi Journal, vol. 6, no. 2, pp. 126-131, 2014.
[8]A. Hamsar and Erlin, “Application of dashboard for determine work priority of technicians using fuzzy logic”, Journal of Research of Applied Science and Education, vol. 8, iss. 1, pp. 192-202, 2016.
[9]E. Daniati, “Fuzzy logic of tahani model for optional course recommendation in english village pare kediri”, Citec Journal, vol. 3, no. 3, pp. 200-213, 2016.
[10]R. Helilintar, W.W. Winarno and H.A. Fatta, “Application of simple additive and fuzzy method in decision support system scholarship”, Citec Journal, vol. 3, no. 2, pp. 89-101, 2016.
[11]P.N. Lolita, “The support model for secondhand motorcycle purchase using the fuzzy model database and max-min rule”, Thesis of Informatics Engineering, Sanata Dharma University, pp. 1-90, 2016.
[12]K. Singh, “Fuzzy logic based modified adaptive modulation implementation for performance enhancement in ofdm systems”, International Journal of Intelligent System and Applications, MECS Publisher, vol. 8, no. 5, pp. 49-54, 2016.
[13]I.A. Nasution, “Decision support system for determine laptop selection by using fuzzy tahani”, Pelita Informatics of Budi Darma, vol. 6, no. 1, pp. 93-96, 2014.
[14]K. N. Kumar, C. S. Reddy and N.V. E. S. Murthy, “Fuzzy based xml knowledge retrieval methods in edaphology”, International Journal of Intelligent System and Applications, MECS Publisher, vol. 8, no. 8, pp. 55-64, 2016.
[15]G. Taufiq, “Fuzzy logic tahani to support decision recruitment employee”, Proceeding National Seminar Applied Science and Technology, pp. 9-106, 2014.
[16]A. Garg and R. Rishi, “Querying capability enhancement in database using fuzzy logic”, Global Journal of Computer Science and Technology, vol. 12, iss. 6, ver. 1.0, pp. 1-9, 2012.
[17]Kahar, N. “Decision support system for jamkesda acceptance at jambi city”, National Conference Informatics, vol. 1, pp. 215-220, 2013.