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Firman Aldyanto
Institut Teknologi Padang
Computer Science & IT Control & Systems Engineering

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PREDIKSI JUMLAH PRODUKSI ROTI MENGGUNAKAN METODE LOGIKA FUZZY (Studi Kasus : Roti Malabar Bakery) Minarni Minarni; Firman Aldyanto
Jurnal Teknoif - ISSN 2338-2724 Vol 4, No 2 (2016): TEKNOIF October 2016
Publisher : ITP Press - Institut Teknologi Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (899.567 KB) | DOI: 10.21063/jtif.2016.V4.2.

Abstract

Determination of the quantity of production at the company, normally based on estimates without notice the factors involved in the production. Consequently production is not appropriate and the impact on the availability of stocks in the werehouse with possibility of pile up or empty.    To solve the problems, this research used methods of fuzzy logic, which is designed web-based, programming language PHP and uses MySQL database. Which compares the results of prediction methods of fuzzy logic with actual production data.    From testing the prediction using fuzzy logic method, Tsukamoto method as the most superior method in predicting the amount of production, which is known to the predicted results with production of the company is not much different that can be seen from the error value gained 1 % .Keywords : Production Prediction, Fuzzy Logic, based WEB.
PREDIKSI JUMLAH PRODUKSI ROTI MENGGUNAKAN METODE LOGIKA FUZZY (Studi Kasus : Roti Malabar Bakery) Minarni; Firman Aldyanto
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 4 No 2 (2016): JURNAL TEKNOIF ITP
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (899.567 KB) | DOI: 10.21063/jtif.2016.V4.2.59-65

Abstract

Penentuan jumlah produksi pada suatu perusahaan, biasanya didasari pada perkiraan, tanpa memperhatikan faktor – faktor yang terlibat dalam produksi. Akibatnya produksi tidak sesuai dan berdampak pada ketersediaan stok di gudang dengan kemungkinan menumpuk atau kosong. Untuk mengatasi permasalahan di atas pada penelitian ini digunakan metode logika fuzzy, yang dirancang berbasis web menggunakan bahasa pemograman PHP dan menggunakan database MYSQL. Yang membandingkan hasil prediksi metode logika fuzzy dengan data produksi sebenarnya. Dari pengujian prediksi menggunakan metode logika fuzzy ini, di dapatkan metode tsukamoto sebagai metode yang paling unggul dalam memprediksi jumlah produksi, dimana diketahui hasil prediksi dengan hasil produksi perusahaan tidak jauh berbeda yang dapat dilihat dari nilai error yang didapatkan 1%. Determination of the quantity of production at the company, normally based on estimates without notice the factors involved in the production. Consequently production is not appropriate and the impact on the availability of stocks in the werehouse with possibility of pile up or empty. To solve the problems, this research used methods of fuzzy logic, which is designed web-based, programming language PHP and uses MySQL database. Which compares the results of prediction methods of fuzzy logic with actual production data. From testing the prediction using fuzzy logic method, Tsukamoto method as the most superior method in predicting the amount of production, which is known to the predicted results with production of the company is not much different that can be seen from the error value gained 1 % .
Co-Authors Minarni Minarni