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All Journal International Journal of Electrical and Computer Engineering Reaktor BERKALA FISIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Jurnal Sains Materi Indonesia YOUNGSTER PHYSICS JOURNAL Scientific Journal of Informatics Register: Jurnal Ilmiah Teknologi Sistem Informasi Journal of Physics and Its Applications
Vincensius Gunawan S.K.
Jurusan Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro, Semarang
Astronomy Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mathematics Physics

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Journal : Scientific Journal of Informatics

 1 
The Implementation of Grey Forecasting Model for Forecast Result’s Food Crop Agricultural Muqtadir, Asfan; Suryono, Suryono; Gunawan, Vincensius
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7912

Abstract

The increasing of the needs of  food crops raised several issues related to land use. The  problems of land used caused by the lack of information related to productivity and eligibility used of land. The goal of this research is to implementation a model of Grey forecasting GM(1,1) to forecast agricultural production, especially in food crops. GM(1,1) is used to built a model with limited data samples and generate good forecasts for short libertine forecasts. This research uses data from the production of food crops for the 2004-2013 it can be calculated by using the model of GM (1,1). The results showed the model GM (1,1) can produce highly accurate forecasts, from the experimental results for pattern trends generate value ARPE 5.74% or accuracy of forecasts reached 94.26% in crop production.
The Implementation of Grey Forecasting Model for Forecast Results Food Crop Agricultural Muqtadir, Asfan; Suryono, Suryono; Gunawan, Vincensius
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7912

Abstract

The increasing of the needs of food crops raised several issues related to land use. The problems of land used caused by the lack of information related to productivity and eligibility used of land. The goal of this research is to implementation a model of Grey forecasting GM(1,1) to forecast agricultural production, especially in food crops. GM(1,1) is used to built a model with limited data samples and generate good forecasts for short libertine forecasts. This research uses data from the production of food crops for the 2004-2013 it can be calculated by using the model of GM (1,1). The results showed the model GM (1,1) can produce highly accurate forecasts, from the experimental results for pattern trends generate value ARPE 5.74% or accuracy of forecasts reached 94.26% in crop production.
The Implementation of Grey Forecasting Model for Forecast Result’s Food Crop Agricultural Muqtadir, Asfan; Suryono, Suryono; Gunawan, Vincensius
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7912

Abstract

The increasing of the needs of  food crops raised several issues related to land use. The  problems of land used caused by the lack of information related to productivity and eligibility used of land. The goal of this research is to implementation a model of Grey forecasting GM(1,1) to forecast agricultural production, especially in food crops. GM(1,1) is used to built a model with limited data samples and generate good forecasts for short libertine forecasts. This research uses data from the production of food crops for the 2004-2013 it can be calculated by using the model of GM (1,1). The results showed the model GM (1,1) can produce highly accurate forecasts, from the experimental results for pattern trends generate value ARPE 5.74% or accuracy of forecasts reached 94.26% in crop production.
Co-Authors Abd. Rasyid Syamsuri Adian Fatchur Rochim Agung Cahyono Agus Purwanto Agus Subagio Aris Kusnandar Asfan Muqtadir Choirul Anam AM Diponegoro Dewi Tri Nugraheni, Dewi Tri Farhatin Nurul Ihya Hendri Widiyandari Indras Marhaendrajaya Ircham Ali Kamsul Abraha Kusworo Adi Mahfudz Fauzan Ngurah Ayu Ketut Umiati Priyono Priyono Rachmad Gernowo Robert L Stamps Ryan Kurniawan Singgih Sugiarto, Singgih Suryono Suryono Susilo Adi Widyanto