PENERAPAN LOGIKA FUZZY DALAM MEMPERKIRAKAN JUMLAH PRODUKSI TELUR TERHADAP PERMINTAAN PASAR

Anindita Nurizza Masquitasari Yusuf, Edy Widayat, ahmad hatip

Abstract


The longer the population in Indonesia is growing, and making the number of egg demand also increases. Increasing demand to make a farm and egg distributor that is UD. Junjong Drajat in Bendiljet Orchard, Karangtalun Village, Kalidawir Subdistrict, Tulungagung District, there is often a problem in the supply of eggs due to poor inventory system and inaccurate determination of inventory. To solve the problem required a system that can estimate the amount of egg production to be marketed on demand is using Fuzzy Logic Sugeno Method, because Sugeno method able to classify data and customize with other data. The demand data patterns are trendy and seasonal so use the Triple Exponensial Smoothing Additive Seasonal Methodto predict the number of requests. The calculation results obtained forecasting the number of requests for April 30 to May 6, 2018 is 124.784 kg, with parameters α = 0,3, β = 0,1 and γ = 0,3 has a MAPE (Mean Absolute Percentage Error) value of 26,57% Which is sufficient. For an estimated production amount using the Sugeno method of 87.800 kg (Toolbox Matlab), with a total inventory inventory of 79,200 kg.

 


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References


Halimi. R, dkk. 2013. “Pembuatan Aplikasi Peramalan Jumlah Permintaan Produk Dengan Metode Time Series Exponential Smothing Holts Winter Di PT. Telekomunikasi Indonesia Tbk”. Jurnal Teknik POMITS Vol. 1, No. 1, hal : 1 – 6. Surabaya : Institut Teknologi Sepuluh November

Heriyani, dkk. 2015. “Peramalan Jumlah Penduduk Dengan Metode Trend Non Linier”. Jurnal EKSPONENSIAL Vol. 6, No. 1, hal : 95 – 100. http:www.google.com. 27 Juli 2017.

Kusumadewi, Sri., Sri H., Agus H., & Retyanto W. 2006. Fuzzy Multi-Attribute Decision Making (FUZZY MADM). Yogyakarta : Graha Ilmu.

Monika, Lili. 2016. “Metode Pemulusan Eksponensial Ganda Dengan Verifikasi Pemantauan Tracking Signal Pada Data Tingkat Inflasi Di Indonesia Tahun 2011–2015”. Skripsi. Universitas Islam Negeri Maulana Malik Ibrahim. Malang

Subagyo, Pangestu. 1986. Forecasting Konsep dan Aplikasi. BPFE Yogyakarta. Yogyakarta

Padang .E, Gim T. dan Ujian S. 2013. “Peramalan Jumlah Penumpang Kereta Api Medan-Rantau Prapat Dengan Metode Pemulusan Eksponensial Holt-Winters”. Saintia Matematika, Vol. 1, No. 2, hal : 161 – 174. Medan : University of Sumatera Utara

Solikin, Fajar. 2011. Aplikasi Logika Fuzzy Dalam Optimasi Produksi Barang Menggunakan Metode Mamdani Dan Metode Sugeno. Skripsi. Universitas Negeri Yogyakarta

Suwandi, Adi, dkk. 2014. Peramalan Data Time Series dengan Metode Penghalusan Eksponensial Holt-Winter. http:www.google.com. 30 Mei 2017.




DOI: http://dx.doi.org/10.12962/limits.v14i2.3082

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