Analisis Perkiraan Jumlah Produksi Tahu Menggunakan Metode Fuzzy Sugeno

Authors

  • Siti Nurdini Universitas Putra Indonesia YPTK Padang
  • Gunadi Widi Nurcahyo Universitas Putra Indonesia YPTK Padang
  • Julius Santony Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.37034/jsisfotek.v1i3.4

Keywords:

Sugeno Method, Production Tofu, Fuzzy, Prediction, Analysis

Abstract

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.

References

Sitio S. L. M. (2018). Penerapan FuzzyInference System Sugeno Untuk Menentukan Jumlah Pembelian Obat (Studi Kasus: Garuda Sentra Medika). Jurnal Informatika Universitas Pamulang, 3(2).

Marlina A. M., Susiana, N. Erizal, & Ahmad F. A. (2018). Forecastingtechniqueusingtimesequence: model penentuan volume produksi Sanjai di UKM Rina Payakumbuh.Jurnal Manajemen, 9(2), 187-196.http://dx.doi.org/10.32832/jm-uika.v9i2.1567

Nurzaman, Syamsu Hadi, &Ade Rustiana (2018).Strategi Pengembangan Industri Kecil (Studi Kasus Pengelolaan Keripik Sermier Super Pak Mudji).EconomicEducationAnalysisJournal, 7(1),220-234. https://journal.unnes.ac.id/sju/index.php/eeaj/article/view/22873

Marlisa L., Erma E., &Alwi W. (2017). Aplikasi FuzzyInference System (FIS) Metode Sugeno dalam Sistem Pendukung Keputusan (SPK) Untuk Menentukan Jumlah Produksi Barang Berdasarkan Data Persediaan dan Permintaan, Jurnal MSA, 5(2), 1-13. http://dx.doi.org/10.24252/msa.v5i2.4504

Yulianto T., Komariyah S. &Ulfaniyah N. (2018). AppliedandComputation. ApplicationoffuzzyinferencesystembySugenomethodonestimatingofsaltproduction.International ConferenceonMathematics: Pure.https://doi.org/10.1063/1.4994442

Bahroni A., Farmadi A., &Nugroho R.H. (2016). Prediksi Permintaan Produk Mie Instan Dengan Metode FuzzyTakagi-Sugeno.Kumpulan Jurnal Ilmu Komputer(KLIK), 3(25).http://dx.doi.org/10.20527/klik.v3i2.62

Jalani J. &Jayaraman S. (2018)Design a FuzzyLogicControllerfor a RotaryFlexibleJointRoboticArm, MATEC Web ofConference.http://doi.org/10.1051/matecconf/20181500101

Munoz M., Shanchez P.J.,& Miranda E. (2016). A Fuzzy For Estimating Premium CostofOption Exchange UsingMamdaniInference : DerivativeMarketofMaxico.International JournalofComputationalIntelligence Systems, 10 (2017), 153–164.https://doi.org/10.2991/ijcis.2017.10.1.11

MohammedBlej&Mostafa Azizi, N. (2016).ComparisonofMamdani-TypeandSugeno-TypeFuzzyInference Systems forFuzzy Real TimeScheduling. International JournalofApplied Engineering Research,11(22), 11071-11075

Rahakbauw D.L. (2015).Penerapan Logika Fuzzy Metode Sugenountuk Menentukan Jumlah Produksi Roti Berdasarkan Data Persediaan dan Jumlah Permintaan (Studi Kasus: Pabrik Roti Sarinda Ambon).Jurnal Ilmu Matematika dan Terapan. 9(2), 121 – 134.

Wijaya D. P. (2018). Optimalisasi Produksi Susu Sapi Murni Kemasan Botol dengan Menggunakan Metode FuzzyTsukamoto (Pada : Perusahaan Susu Kana Milk Kediri), Artikel Simki-Techsain. 2(5).http://simki.unpkediri.ac.id/detail/13.1.03.02.0115

Indrianingsih Y. (2018).DecisionSupport System To Determine The NumberOfProductionTofuUsing The FuzzySugenoMethod (Case Study : Home Industries Tofu in SeyeganDistrict). Prosiding Seminar Nasional Teknologi Informasi dan Kedirgantaraan Yogyakarta, 13 Desember 2018. Yogyakarta.http://dx.doi.org/10.28989/senatik.v4i0.216

Downloads

Published

01-09-2021

How to Cite

Nurdini, S. ., Nurcahyo, G. W. ., & Santony, J. . (2021). Analisis Perkiraan Jumlah Produksi Tahu Menggunakan Metode Fuzzy Sugeno. Jurnal Sistim Informasi Dan Teknologi, 1(3), 18–23. https://doi.org/10.37034/jsisfotek.v1i3.4

Issue

Section

Articles

Most read articles by the same author(s)

1 2 3 4 > >>