ANALISA JUMLAH PRODUKSI PADA INDUSTRI RUMAH TANGGA DENGAN MENGGUNAKAN LOGIKA FUZZY: STUDI KASUS UD TEMPE PUJI KECAMATAN BAYANG KABUPATERN PESISIR SELATAN

Ondra Eka Putra, Eka Lia Febrianti

Abstract


Total production of a company must be appropriate to the existing demand and supply, if the amount of production is not suitable then it would result in losses of the company because there is no analysis of the market needs for demand and supply of products. UD Tempe Puji is domestic industry that produces tempe every day to provide the needs of the market. In producing UD Tempe Puji only estimate the market needs are uncertain that the market needs are not being met or exceeded. In the analysis of the amount of production at UD Tempe Puji using Tsukamoto fuzzy logic so that the amount of tempe to be produced in accordance with market needs based on demand and supply that exist automatically. Data was analyzed based on the demand, supply and production quantities are never done by UD Tempe Puji. In the method of drawing conclusions fuzzy Tsukamoto, each consequent upon the rule should be represented by a set of fuzzy with the membership function monotonous, as a result, the output results of inference of each rule is given explicitly by α-predicate, the final result is obtained by using a weighted average.


Keywords


Fuzzy Logic, Fuzzy Tsukamoto, Inference System, Weight Average, Rules

References


J Ross, Timothy. 2010. Fuzzy Logic With Enggineering Application. United Kingdom : Wiley.

Kusrini S.Kom. 2014. Konsep dan Aplikasi Sistem Pendukung Keputusan. 2014. Yogyakarta : Andi.

Kusumadewi, Sri, & Hartati, Sri. 2010. Neuro-Fuzzy : Integrasi Sistem Fuzzy & Jaringan Saraf. Yogyakarta : Graha Ilmu

Kusumadewi, Sri and Purnomo, Hari. 2010. Aplikasi Logika Fuzzy Untuk Pendukung Keputusan. Yogyakarta: Graha Ilmu.

Sutujo, T., Mulyanto, Edi., Suhartono, Vincent., & Rini, Benedicta. 2011. Kecerdasan Buatan. Semarang : Andi

Suyanto. 2011. Artificial Intelligence : Searching, Reasoning, Planning, dan Learning. Bandung : Informatika

Zhi, Zhong. 2011. Advanced Artificial Intellegence. London : World Scientific




DOI: http://dx.doi.org/10.31958/js.v8i2.479

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 Ondra Eka Putra

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Indexed by:

       

 

__________________________________________________________________________

Sainstek: Jurnal Sains dan Teknologi
ISSN 2085-8019  (print) | 2580-278x  (online)
Published by Institut Agama Islam Negeri Batusangkar

Email: sainstek@iainbatusangkar.ac.id


View Sainstek Stats

 

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.