Penerapan Metode SMA Untuk Peramalan Tingkat Produksi Tanaman Pangan di Dinas Pertanian

2021 ◽  
Vol 1 (1) ◽  
pp. 27-32
Author(s):  
Novita Sari Sitorus ◽  
Yessica Siagian ◽  
Romy Aulia
Keyword(s):  
Production Rate ◽  
Average Method ◽  
Crop Production ◽  
Moving Average ◽  
Visual Basic ◽  
Food Crops ◽  
Food Crop ◽  
Forecasting System ◽  
Food Crop Production

Abstract: Food is the most important foodstuff needed by humans, in addition to consumption, the production of food crops can also be used as a source of business in the economy. This study aims to predict the production of food crops in the Agriculture Office of Asahan Regency. Based on data on food crop production from 2012 to 2019 at the Asahan District Agriculture Office experienced ups and downs, food crop production sometimes does not meet the consumption of people in Asahan Regency (devisit) and sometimes overproduction (surplus). So far, the Agriculture Office of Asahan Regency has predicted the production of food crops only with estimates so that the results are not accurate. Based on these problems, a proper forecasting system is needed so that it is able to predict the production rate of food crops quickly and accurately. Applications are built using Visual Basic Net 2010 and MySQL databases and use the Single Moving Average method. The results of this study can help the Agriculture Office of Asahan Regency in predicting the amount of food crop production in the next period according to the needs. Keywords : Forecasting, Production, Food Crops, Single Moving Average  Abstrak: Pangan merupakan bahan makanan paling utama yang di butuhkan oleh manusia, selain untuk dikomsumsi, hasil produksi dari tanamana pangan juga dapat dijadikan sebagai sumber usaha dalam perekonomian. Penelitian ini bertujuan untuk melakukan prediksi produksi tanaman pangan pada Dinas Pertanian Kabupaten Asahan. Berdasarkan data produksi tanaman pangan dari tahun 2012 sampai dengan tahun 2019 pada Dinas Pertanian Kabupaten Asahan mengalami naik turun, produksi tanaman pangan terkadang tidak memenuhi konsumsi masyarakat di Kabupaten Asahan (devisit) dan terkadang kelebihan produksi (surplus). Selama ini Dinas Pertanian Kabupaten Asahan melakukan prediksi produksi tanaman pangan hanya dengan perkiraaan-perkiraan saja sehingga hasilnya tidak akurat. Berdasarkan permasalahan tersebut maka dibutuhkan sistem peramalan yang tepat sehingga mampu meramalkan tingkat produksi tanaman pangan dengan cepat dan akurat. Aplikasi dibangun menggunakan Visual Basic Net 2010 dan database MySQL serta menggunakan metode Single Moving Average. Hasil dari penelitian ini dapat membantu Dinas Pertanian Kabupaten Asahan dalam memprediksi jumlah produksi tanaman pangan pada periode berikutnya sesuai dengan kebutuhan. Kata Kunci : Peramalan, Produksi, Tanaman Pangan, Single Moving Average

Improving food crop production in the Sudan Savanna zone of Northern Nigeria

1976 ◽  
Vol 8 (6) ◽  
pp. 341-347 ◽  
Author(s):  
A H Kassam ◽  
M Dagg ◽  
J M Kowal ◽  
F H Khadr
Keyword(s):  
Crop Production ◽  
Food Crops ◽  
Northern Nigeria ◽  
Food Crop ◽  
Strong Function ◽  
Disaster Area ◽  
Crop Husbandry ◽  
Food Crop Production ◽  
Sudan Savanna ◽  
Savanna Zone

Poor rainfall in 1972 and 1973 led to much of the area in the Sudan Savanna zone of Nigeria being declared a disaster area due to the widespread failures of major food crops under indigenous practices. However, in the same circumstances, a group of farmers using improved seed, fertilizer and better methods, obtained yields which were satisfactory. Crop losses from “drought” are a strong function of the cultivars grown and of the level of crop husbandry.

scholarly journals Implementation of Klassen Typology in Mapping of Superior Commodities of Food Crops in The Malolo Agropolitan Area

2021 ◽  
Vol 887 (1) ◽  
pp. 012024
Author(s):  
H. Siradjuddin ◽  
M. Anshar ◽  
A. I. Asman
Keyword(s):  
Analytical Methods ◽  
Crop Production ◽  
Food Plants ◽  
Gis Mapping ◽  
Food Crops ◽  
Food Crop ◽  
Commodity Production ◽  
Food Crop Production ◽  
Food Commodities ◽  
Food Commodity

Abstract The Malolo agropolitan area is a strategic food crop production center in Takalar. The implementation of klassen tipology is used to identify superior commodities with export value from food plants cultivated by farmers in the area. This study aims to determine the superior commodities of food crops using klassen typology and to map these superior commodities in the Malolo Agropolitan Area. The analytical methods used were klassen typology and Ar-GIS mapping. The results showed that the implementation of klassen typology on food commodities in the Agropolitan Malolo area resulted in maize as the only superior commodity out of 4 other food commodities. Maize is a leading commodity in 4 areas, that is Massamaturu, Timbuseng, Barugaya, and Towata. Mapping results show that 4 areas are superior commodity development, 11 areas for mainstay commodity development, 37 areas for prospective commodity development, and 38 areas for slow commodity development. The number of areas for slow commodity development shows that the production of food commodities in the Malolo agropolitan area is less able to compete with food commodity production in other areas in a larger area.

scholarly journals Growth and Variability of Major Food Crops Production in Khyber Pakhtunkhwa, Pakistan

2017 ◽  
Vol 2 (1) ◽  
pp. 6
Author(s):  
Syed Asghar Ali Shah ◽  
Alamgir Khalil Khalil
Keyword(s):  
Growth Rate ◽  
Growth Model ◽  
Crop Production ◽  
Growth Models ◽  
Secondary Data ◽  
Food Crops ◽  
Food Crop ◽  
Khyber Pakhtunkhwa ◽  
Major Food ◽  
Food Crop Production

The present study was undertaken to investigate the growth and variability in major food crops production of Khyber Pakhtunkhwa. The study was based on secondary data, covers a period of about 30 years i.e. starting from 1984-85 to 2013-14, Whereas, the growth models has been employed to fit the best growth model and Cuddy Della Vella Index was applied to find variability in major food crops production i.e. wheat, maize, sugarcane and rice. Based on the results of analyzed data, it was found that in major food crops (wheat, maize, sugarcane, rice) Production, the growth models i.e.  Cubic growth model, power growth model, cubic growth model, cubic growth model respectively were found suitable, based on the R2 criteria and fitted trend line. After selecting best fitted model for each major food crop, the growth rate was calculated by using the selected fitted models which were found to be 10.97%, 8.00%, 45.31% and 1.19% respectively.  Moreover, the variability for each major food crop production was found to be 1.53%, 1.23%, 0.44% and 0.79% respectively. 

Soils and Sustainable Agriculture : Ecological Considerations

2003 ◽  
Author(s):  
Anthony S. R. Juo ◽  
Kathrin Franzluebbers
Keyword(s):  
Research And Development ◽  
Sustainable Agriculture ◽  
Crop Production ◽  
Food Crops ◽  
Food Crop ◽  
Tropical Asia ◽  
Food Crop Production ◽  
High Base ◽  
Food Needs ◽  
The Tropics

Sustainable agriculture can be defined in many different ways. In industrial nations, sustainable agriculture means improving energy use efficiency, reducing environmental pollution, and increasing and sustaining profitability. For millions of small-holder farmers throughout the tropics, sustainable agriculture means providing basic food needs for the farming family, improving the farmer’s ability to replenish soil nutrients and control soil degradation, and optimizing crop yield per unit area of land. Soil utilization for agricultural production in the tropics during the past two centuries, to a large extent, has been influenced by the technological and economic changes in temperate regions. Research and development for agriculture during the colonial era were mainly focused on the needs of industrial nations, while the production of food crops for the indigenous inhabitants was largely left in the hands of the traditional slash-and-burn cultivators. Large and small cash crop plantations were developed on fertile, high-base-status allophanic and oxidic soils for coffee, cocoa, banana, and sugarcane production throughout the humid and subhumid tropics. Cotton was cultivated on smectitic soils and high-base-status kaolinitic soils in the subhumid and semiarid regions of Africa for the textile industries in temperate regions. In tropical America, cattle ranching, a production system introduced by European immigrants, still occupies most of the fertile flat land today, while food grains are usually cultivated on less fertile land or in shallow soils on steep slopes. In tropical Africa and Latin America, a wide range of food crops, such as maize and beans, potato, cowpea, sorghum, millet, cassava, and yam are mostly produced under the traditional slash-and-burn system of cultivation on less fertile kaolinitic soils. In tropical Asia, the indigenous intensive rice-based agriculture on wet smectitic soil has been practiced over many centuries and has been able to meet the basic food needs for the increasing population in the region. Generally, upland food crop production in the tropics has not kept pace with human population growth in the tropics during the past century. It was not until the 1950s and 1960s, following the independence of many nations in tropical Asia and Africa, that more attention was given to the research and development of food crop production.

The Agrarian Question in Contemporary Zimbabwe

2019 ◽  
Vol 49 (1) ◽  
Author(s):  
Toendepi Shonhe
Keyword(s):  
Capital Accumulation ◽  
Crop Production ◽  
Job Creation ◽  
Food Crop ◽  
Contract Farming ◽  
Agrarian Question ◽  
Food Crop Production ◽  
The Government ◽  
Agrarian Transition ◽  
Depth Interviews

The reinvestment of rural agrarian surplus is driving capital accumulation in Zimbabwe's countryside, providing a scope to foster national (re-) industrialisation and job creation. Contrary to Bernstein's view, the Agrarian Question on capital remains unresolved in Southern Africa. Even though export finance, accessed through contract farming, provides an impetus for export cash crop production, and the government-mediated command agriculture supports food crop production, the reinvestment of proceeds from the sale of agricultural commodities is now driving capital accumulation. Drawing from empirical data, gathered through surveys and in-depth interviews from Hwedza district and Mvurwi farming area in Mazowe district in Zimbabwe, the findings of this study revealed the pre-eminence of the Agrarian Question, linked to an ongoing agrarian transition in Zimbabwe. This agrarian capital elaborates rural-urban interconnections and economic development, following two decades of de-industrialisation in Zimbabwe. 

Management of acid soils for opportunity food crop production in southern Thailand

1995 ◽  
pp. 761-766 ◽  
Author(s):  
S. Suthipradit ◽  
L. Nualsri ◽  
P. Sophanodora ◽  
Y. Limchitti ◽  
N. Kungpisdan
Keyword(s):  
Crop Production ◽  
Acid Soils ◽  
Food Crop ◽  
Southern Thailand ◽  
Food Crop Production

Urbanisation, local food crop production and tourism output of Pakistan

2019 ◽  
Vol 69 (232) ◽  
pp. 105-117
Author(s):  
Suwastika Naidu ◽  
Atishwar Pandaram ◽  
Anand Chand
Keyword(s):  
Crop Production ◽  
Local Food ◽  
Food Crop ◽  
Food Crop Production

scholarly journals The impact of Maize (Zea mays L.) and it uses for human development: A review

2017 ◽  
Vol 5 (1) ◽  
pp. 93
Author(s):  
Monday Sunday Adiaha
Keyword(s):  
Crop Production ◽  
Zea Mays L ◽  
Standard Of Living ◽  
Wet Milling ◽  
Food Crop ◽  
Industrial Utilization ◽  
Health Related ◽  
Food Crop Production ◽  
Animal Diet ◽  
The Impact

Corn possesses significances nutrients, minerals and vitamins, which provides nutrition in animal diet as well as man. Its health benefits have been countless since the prehistoric era. Maize has been revealed to have the potential to sustained human health-related cases, raise standard of living of farmers, served as a soil fertility indicator crop, generate income and increase food-crop production for the increasing human population. Industrial utilization of maize has been shown to include: wet milling, production of bio-fuel, ethanol and other sub-byproducts.

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