Application of fuzzy inference system by Sugeno method on estimating of salt production

Yulianto, Tony; Komariyah, Siti; Ulfaniyah, Nurita

doi:10.1063/1.4994442

Cited by 22 publications

(16 citation statements)

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“…The final result of national water calculation from preference value like the step before in local water using equation (12) can be seen in the Table 11 so we can conclude that the sellers who is getting first rank are seller 13. Then, total of rank from the rating of seller is any 37 rank.…”

Section: Search the Value Of Normalization Matrix ( ) Of Local Watermentioning

confidence: 97%

“…Fuzzy logic was first developed by Lotfi A. Zadeh through his writings in 1965 on fuzzy set theory [12]. Fuzzy logic is a method that is basically from an Artificial Intelligence system can mimic the ability of humans in thinking in the form of algorithms which are then run by machines.…”

Section: Fuzzymentioning

confidence: 99%

“…Preference value from Table 7 and 8 using equation (12) can be seen in the Table 9. From the Table 9 so we can conclude that the sellers who is getting first rank are seller 11 and 12.…”

Section: Search the Value Of Normalization Matrix ( ) Of Local Watermentioning

confidence: 99%

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Rating of Bottled Drinking Water (AMDK) Sellers in Local and National in Madura Using Fuzzy TOPSIS

Yulianto¹,

Mudassir²,

Faisol³

2019

Proceedings of the Proceedings of the 1st Asian Conference on Humanities, Industry, and Technology for Society, ACHITS 2019, 30

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Bottled drinking water (AMDK) is raw water that has been through a sterilization, packaged and safe process to drink including mineral water and demineralized water. In recent years the sales of bottled drinking water (AMDK) in Indonesia have grown so rapidly that it needs a ranking. Sales is one of the most important indicators in a company, if the level of sales generated by the company is large, then the profits generated by the company will be large so that the company can survive in business competition and it built by seller. The method that can be used in ranking seller of local and national bottled drinking water is fuzzy TOPSIS method. Result of simulation, we get for AMDK local the sellers who is getting first rank are seller 11 and 12 and total of rank from the rating of seller is any 35 rank. Whereas AMDK national the sellers who is getting first rank are seller 13 and total of rank from the rating of seller is any 37 rank. Because the rank of AMDK national seller is more than AMDK local seller, so people still like AMDK national product than AMDK local product.

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Section: Search the Value Of Normalization Matrix ( ) Of Local Watermentioning

confidence: 97%

Section: Fuzzymentioning

confidence: 99%

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Rating of Bottled Drinking Water (AMDK) Sellers in Local and National in Madura Using Fuzzy TOPSIS

Yulianto¹,

Mudassir²,

Faisol³

2019

Proceedings of the Proceedings of the 1st Asian Conference on Humanities, Industry, and Technology for Society, ACHITS 2019, 30

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“…Dari penelitian diperoleh nilai kesalahan (error) 0,0917 atau 9,17%. Sehingga penelitian ini bisa diterapkan dalam memeperkirakan jumlah produksi garam [5]. (Bahroni A., dkk, 2017) melakukan penelitian tentang prediksi permintaan produk mie instan dengan menggunakan metode Takagi-Sugeno, di mana berhasil memprediksi pembelian mie instan dengan kesalahan 35,55% [6].…”

Section: Pendahuluanunclassified

Analisis Perkiraan Jumlah Produksi Tahu Menggunakan Metode Fuzzy Sugeno

2019

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Tofu industry XYZ is a small industry that is managed in the form of a home industry, where the process of estimating the amount to be produced is still manual. For that, a calculation process is needed that can be used to save or buy. Of the existing problems used in the Sugeno Fueno Method. In this method uses three variables, namely, demand variables, purchase variables and production variables. Each variable has three sets of Fuzzy, the demand variable consists of down, medium and up. Variables consist of few, medium and many. And the production variable consists of reduction, tolerable and increasing. From the results of the test data conducted by the Sugeno Method there is a difference of error of 2.148% means that the truth level is 97,852%. Determining this method can be applied to the tofu industry XYZ in estimating the amount of tofu production for the next period.

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“…Classic and Fuzzy Sets Basically, fuzzy set theory is an extension of classical set theory. In crisp, the value of membership of the item is written with μ_A [x], has 2 possibilities, namely [7]. One, which means that an item becomes a member in a set, or Zero, which means that the item is not a member of a set.…”

Section: Definition Of Fuzzy Logicmentioning

confidence: 99%

Forecasting the Number of Tuberculosis (TBC) Using Fuzzy Prey Predator

Subaidah¹,

Ukhrowi²,

Alam³

et al. 2019

Proceedings of the Proceedings of the 1st Asian Conference on Humanities, Industry, and Technology for Society, ACHITS 2019, 30

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Tuberculosis (TB or TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis. Tuberculosis (TB) is still a major health problem in the world, so from this it is necessary to forecast to determine the increase in the number of TB diseases, and later can be taken in prevention. This study uses the Fuzzy prey predator method. The data source used is data on TB patients at Batumarmar Health Center. From the results of this study, it was found that the population of Prey and Predator was sought for stability, so that after applying the fuzzy prey predator model, convergent results were obtained. Prey population and Predator population decreased for one month, afterwards covergen.

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Application of fuzzy inference system by Sugeno method on estimating of salt production

Cited by 22 publications

References 0 publications

Rating of Bottled Drinking Water (AMDK) Sellers in Local and National in Madura Using Fuzzy TOPSIS

Rating of Bottled Drinking Water (AMDK) Sellers in Local and National in Madura Using Fuzzy TOPSIS

Analisis Perkiraan Jumlah Produksi Tahu Menggunakan Metode Fuzzy Sugeno

Forecasting the Number of Tuberculosis (TBC) Using Fuzzy Prey Predator

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