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Journal : JURNAL TEKNIK INDUSTRI

PREDIKSI PRODUKSI JAGUNG DALAM MODEL PENYEDIAAN TEPUNG JAGUNG PADA RANTAI PASOK JAGUNG Dorina Hetharia; M. Syamsul Ma’arif; Yandra Arkeman; Titi Candra S
JURNAL TEKNIK INDUSTRI Vol. 7 No. 1 (2017): Volume 7 Nomor 1 Maret 2017
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (417.882 KB) | DOI: 10.25105/jti.v7i1.2202

Abstract

Corn flour as one of the products made from corn is an intermediate product. This product can be consumed directly, also can be used as raw materials in the food industry, feed industry and other industrial raw materials. In the supply chain system, corn flour industry is a part of the maize supply chain . To maintain the continuity of the flow of raw materials in the supply chain , the industry needs to provide corn flour that meets quantity with good quality according to consumer demand . It is closely related to the supply of corn as a raw material for corn flour. The provision of corn are also closely related to the availability of the amount of corn production obtained from the farmers. This paper discussed about prediction of maize production using artificial neural networks and a statistical forecasting . The input variables of corn production forecast in causal models were land and rainfall, while the output variable was the amount of corn production per month . The forecasting results would be used as input for the corn flour industry
Model Konseptual Analisis Perbaikan Kinerja Industri Gula Triwulandari S. Dewayana; M. Syamsul Ma’arif; Sukardi Sukardi; Sapta Raharja
JURNAL TEKNIK INDUSTRI Vol. 1 No. 2 (2011): Volume 1 No 2 Juli 2011
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.119 KB) | DOI: 10.25105/jti.v1i2.7000

Abstract

Research related to the analysis of performance improvement (as used in a systematic process to identify performance, determine the desired performance targets, and to determine the priority of improvement at the sugar industry in Indonesia has not been done. This research aims to produce a conceptual model that can be used to analyze the sugar industry performance improvement. The model produced an integrated model to achieve the objectives of the analysis phase of performance improvement. The resulting model consists of five sub-models : 1) grouping, 2) performance measurement, 3) selection of the best performance, 4) analysis of best practices, and 5) determination of priorities for improvement.