scholarly journals Analisis Efisiensi Penggunaan Faktor Produksi Usahatani Cabai Merah di Desa Besakih, Kecamatan Rendang, Kabupaten Karangasem

2018 ◽  
pp. 307
Author(s):  
NI WAYAN ADIYANI WIJAYANTI ◽  
RATNA KOMALA DEWI ◽  
I WAYAN WIDIYANTARA
Keyword(s):  
Production Function ◽  
Efficiency Analysis ◽  
Production Factor ◽  
The Past ◽  
Production Factors ◽  
Marginal Production ◽  
Npk Fertilizer ◽  
Leaf Fertilizer ◽  
Production Prices ◽  
Douglas Production Function

Efficiency Analysis of The Use Of Red Chili Production Factors in Red Chili Farming at Besakih Village, Rendang, Karangasem The research was conducted in Besakih Village, Rendang Sub-District, Karangasem Regency which is one of red chili farming centers in Karangasem Regency. The problem is that production tends to decline over the past five years. This study aims to analyze the effect of production factors and the level of efficiency of the use of red chili production factors on the red chili production in Besakih Village. The method used to analyze the factors of production was the Cobb-Douglas production function. Data were obtained from 62 respondents by census method. Efficiency was calculated by analyzing the ratio of marginal production prices to factor prices. The results showed that production factors that affect the amount of production include land, seed, manure, NPK, leaf fertilizer, calcium fertilizer, pesticides, and labor. Simultaneously, the influence of production factor was 93,90% to the amount of red chili production, while partially, factors that affect the production of red chili were seed, manure, NPK and pesticide. The production factor that has been efficient in its use was NPK fertilizer. Factors of seed production and manure have not been efficient, so their use needs to be added. Leaf fertilizer production factors, calcium fertilizers, pesticides, and labor usage were inefficient, so the use needs to be reduced.

scholarly journals ANALISIS EFISIENSI ALOKASI PENGGUNAAN FAKTOR PRODUKSI PADA USAHATANI TOMAT DI KECAMATAN KAPONTORI KABUPATEN BUTON

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Gusmin Sarif Amane ◽  
Bahari Bahari ◽  
La Ode Geo
Keyword(s):  
Random Sampling ◽  
Sampling Method ◽  
Simple Random Sampling ◽  
Efficiency Analysis ◽  
Production Factor ◽  
Survey Method ◽  
Land Area ◽  
Tomato Production ◽  
Production Factors ◽  
Douglas Production Function

This study aims to analyze the factors that influence production and analyze the efficiency of allocation of the use of production factors on tomato farming conducted in Kapontori District, Buton Regency. Data collection was conducted in January-April 2019 with the survey method. A total of 67 tomato farmers were selected as samples using the simple random sampling method. Data were analyzed using multiple nonlinear regression with Cobb-Douglas production function followed by calculation of price efficiency. The results showed that the area of land, seeds, and fertilizers were factors of production which had a significant effect on tomato production. Tomato farming is on an increasing return to scale scale where increasing use of factors in the production of land, seeds, fertilizers, pesticides and labor simultaneously leads to a greater increase in tomato production. Production factor allocation efficiency analysis shows that the use of production factors in land area is not efficient so it needs to be added, the use of seed production factors is not efficient so it needs to be added, and the use of fertilizer production factors is inefficient so it needs to be reduced.Keywords: efficiency; production factors; tomatoes

Employee Production Factor in Economic Development (A Study in Indonesia)

2020 ◽  
Vol 17 (2) ◽  
pp. 859-863
Author(s):  
Wilson Bangun
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Multiple Regression ◽  
Production Function ◽  
Regression Equation ◽  
Production Factor ◽  
Multiple Regression Equation ◽  
Production Factors ◽  
Douglas Production Function

Economic growth is one measure of development that reflects the welfare of society in a country. In Indonesia, labor production factors make the biggest contribution to economic growth compared to capital and technology production factors. However, the quality of Indonesian labor is the lowest compared to ASEAN-5. This study using approach of Neo Classic to know the magnitude of the contribution of production factors: Labor, capital, and technology to Indonesia economic growth by using the Cobb Douglas production function which is changed in a multiple regression equation. The results of this study indicate that production factors labor and investment significantly influence Indonesia economic growth. While production factors of technology have influence is little on Indonesia economic growth. Based on the results of this study, it is suggested that the Indonesian government improve the quality of the workforce through improving education aspects.

scholarly journals ANALISIS FAKTOR PRODUKSI YANG MEMPENGARUHI PRODUKSI KOPRA DI KECAMATAN TOMOHON BARAT

2018 ◽  
Vol 14 (3) ◽  
pp. 17
Author(s):  
Karouw Randy Alfredts Zwingly ◽  
Tommy F. Lolowang ◽  
Lyndon R. J. Pangemanan
Keyword(s):  
Production Function ◽  
Direct Observation ◽  
Survey Methods ◽  
Plant Population ◽  
Production Factor ◽  
Primary Data ◽  
Plant Populations ◽  
Production Factors ◽  
Maximum Profit ◽  
Douglas Production Function

This study aims to: (1) identify production factors that influence copra production and (2) analyze the elasticity of copra production factors from copra-producing farmers in West Tomohon District. This research was conducted from January to April 2017. The data used were primary data obtained by survey methods through direct observation and interviews with copra farmers. Data were analyzed using Cobb-Douglas production function. The results showed that (1) factors of production of planting area, plant population, outpouring of labor, amount of equipment, and experience used by copra-producing farmers in Tomohon Barat Sub-district jointly affected copra production but separately influential production factors real and positive for copra production, namely planting area, plant population, and outpouring of labor. Based on the scale of results which show increasing return to scale indicates that farmers are still able to obtain profitable production from a number of added production factors. (2) Based on the level of elasticity of production factors that are positive and more than one. This indicates that the use of planted area production factors, plant populations, and labor has not been efficient because it has not reached maximum profit. Each addition of the production factor resulted in an increase in copra production which continued to increase, while the use of production factors the number of equipment and experience showed a negative value indicating that the use of production factors is inefficient because the production will produce less copra even though the use of production factors is more. *jnkd*.

scholarly journals EFISIENSI EKONOMI FAKTOR PRODUKSI PADA USAHATANI BROKOLI DI KELURAHAN KAKASKASEN

2015 ◽  
Vol 11 (2) ◽  
pp. 70
Author(s):  
Juliana R. Mandei ◽  
Christy P. Tuwongkesong
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Production Factor ◽  
Production Factors ◽  
Npk Fertilizer ◽  
Factors Of Production ◽  
Douglas Production Function

The study aims to determine the efficiency of use of factors of production in Broccoli farming. Research carried out on all Broccoli farmers in Kakaskasen Village. Data were analyzed using multiple linear regression analysis with a model of Cobb-Douglas production function. The results showed that the uses of factors of production (land, seed, fertilizer and labor) have given a significant effect simultantly on the production of broccoli in Kakaskasen Village. Technically, the use of production factors of seed, fertilizer, NPK fertilizer and labor is efficient, while the use production factor of land is not efficient yet and Urea fertilizer production factor is not efficient. Economically, the use of production factors of land, seed, fertilizer, NPK fertilizer and labor have not been efficient yet, while the use of factors of production of urea is not efficient.

scholarly journals Evaluation of the Imitation Potential of IT Companies Using the Cobb-Douglas Production Function

Vestnik NSUEM ◽  
2019 ◽  
pp. 130-142
Author(s):  
E. N. Akerman ◽  
A. A. Mikhalchuk ◽  
V. V. Spitsyn ◽  
N. O. Chistyakova
Keyword(s):  
Production Function ◽  
Cluster Model ◽  
Production Functions ◽  
Production Volume ◽  
High Quality ◽  
Production Factors ◽  
Factor Production ◽  
Fixed Assets ◽  
Main Factors ◽  
Douglas Production Function

The relevance of the study has been determined by the acceleration of innovation growth, which encourages companies to use imitation strategies in response to disruptive technological changes.The study used the Cobb-Douglas production function to evaluate the effectiveness of the used production factors of Russian IT companies. A high-quality 3-cluster model of IT companies was built, as well as highly significant two-factor production functions of Cobb-Douglas, which made it possible to identify the contribution of the main factors (wage and fixed assets) to the production volume (revenue) for each cluster.

THE EFFICIENCY OF PRODUCTION FUNCTION ALLOCATION TURMERIC FARM ACEH BESAR DISTRICT

2016 ◽  
Vol 78 (5) ◽  
Author(s):  
Ismayani Ismayani
Keyword(s):  
Production Function ◽  
Function Analysis ◽  
Production Factor ◽  
Survey Method ◽  
Marginal Production ◽  
Function Allocation ◽  
Production Value

The objectives of this research is to find the factors impacted of turmeric farm and the efficiency of production factor allocation was efficient or not.  The  research location in Aceh Besar district. This research used survey method. The research was tested by Cobb Douglass production function analysis.  The result of research shows that area factor allocation 0,30 hectare not efficient.  Showing that area factor necessary to increased anyway the income of the farmer increasing.And the allocation of labor factor 17,43 man days per season be decreased cause not efficient and can be high the labor, over production and marginal production value lower.

scholarly journals DETERMINAN PRODUKSI DAN KEUNTUNGAN USAHATANI CABAI MERAH BESAR DI KECAMATAN WAY SULAN KABUPATEN LAMPUNG SELATAN

2021 ◽  
Vol 9 (2) ◽  
pp. 33
Author(s):  
Evita Natasya Hutapea ◽  
Bustanul Arifin ◽  
Zainal Abidin
Keyword(s):  
Production Function ◽  
Random Sampling ◽  
Sampling Method ◽  
Simple Random Sampling ◽  
Survey Method ◽  
Profit Function ◽  
Output Price ◽  
Npk Fertilizer ◽  
Land Size ◽  
Douglas Production Function

This research aims to analyze the factors that influence productivity and the profitability of large red chili farming in Way Sulan District. This research used a survey method and was carried out in Way Sulan Subdistrict, South Lampung Regency in March - April 2019. The 56 respondents were selected using a simple random sampling method. The first objective was analyzed using the Cobb-Douglas production function with variables namely NPK fertilizer, SP36 fertilizer, insecticide, fungicide, herbicide, labor, and seed on the productivity of large red chilli farming. The second objective was analyzed by the analysis using the UOP or Cobb-Douglas profit function, which is a derivative of the production function but normalized by the output price. The study suggests that the productivity of large red chili farming was determined by NPK fertilizer, SP36 fertilizer, fungicide, labor which can increase the productivity. The second result suggests that the profit function of large red chili farming is influenced by land size, NPK fertilizer price, and labor wages that are normalized with output prices significantly and can increase the profit of large red chili production.Key words: production, profit, red chili

scholarly journals PENDAPATAN DAN FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI UBI KAYU MANIS DAN UBI KAYU PAHIT DI KECAMATAN SEPUTIH BANYAK KABUPATEN LAMPUNG TENGAH

2020 ◽  
Vol 8 (2) ◽  
pp. 226
Author(s):  
Jessica Anggraesi ◽  
Raden Hanung Ismono ◽  
Suriaty Situmorang
Keyword(s):  
Household Income ◽  
Random Sampling ◽  
Land Area ◽  
Factors Affecting ◽  
Production Factors ◽  
Significant Difference ◽  
Npk Fertilizer ◽  
Bitter Cassava ◽  
Sweet Cassava ◽  
Douglas Production Function

The objectives of this study are to analyze factors affecting production, analyze the percentage of cassava farming income contribution to household income, and analyze the differences income of sweet cassava and bitter cassava farming. This research was conducted in March to April 2018 in Seputih Banyak, Central Lampung. The to determine production factors, the study used Cobb-Douglas production function. To determine contribution of cassava farming income to household income, the study used production analysis, while to determine income of sweet cassava and bitter cassava farming, the study used Independent Sample T-Test. The number of sample for bitter and sweet cassava were 30 respondents each chosen by non-proportional random sampling. The study indicates that the factors affecting production of bitter cassava are NPK fertilizer, urea fertilizer, SP-36 fertilizer, and harvest age, while the factors that significantly influence sweet cassava are land area and NPK fertilizer. The contribution of industrial cassava farming income to household income is 75.01%, while sweet cassava income only accounts for 6.95% of total household income. There is a significant difference between the income of sweet cassava farming and bitter cassava farming.Key words: cassava, income, production

Calculation and Analysis of Contribution Rate from Technology Advancement about Flue-Cured Tobacco Production in Guizhou Province

2014 ◽  
Vol 694 ◽  
pp. 558-562
Author(s):  
Dong Bing Huang ◽  
Lin Lin
Keyword(s):  
Production Function ◽  
Guizhou Province ◽  
Contribution Rate ◽  
Function Model ◽  
Production Factors ◽  
Technology Advancement ◽  
Tobacco Production ◽  
Stable Development ◽  
Douglas Production Function

Data was taken from Guizhou flue-cured tobacco production during 2001 to 2012 period. Cobb-Douglas production function model was exerted to calculate the contribution rate of technology advancement to flue-cured tobacco production and to analyze the relation between production factors and flue-cured tobacco output. Results show that the contribution rate of technology advancement to flue-cured tobacco production in Guizhou Province is 42.53%.Planting area is the most important factor to the production. Some measures on stable development of flue-cured tobacco production are proposed.

scholarly journals A Micro Economic Analysis Of Productivity In The Manufacturing Industry Of North West

2002 ◽  
Vol 28 (1) ◽  
Author(s):  
E. P.J. Kleynhans
Keyword(s):  
Economic Analysis ◽  
Production Function ◽  
Manufacturing Industry ◽  
Labour Productivity ◽  
Cost Structure ◽  
North West ◽  
The North ◽  
Production Factors ◽  
Optimal Allocations ◽  
Douglas Production Function

This article studies the productivity in the manufacturing industry of the North West Province. Estimates of the Cobb-Douglas production function for the province’s manufacturing industry are utilised and then applied to the industry’s cost structure to determine whether the factors of production are optimally allocated. It was found that the levels of labour productivity are continuously declining. Higher gains in output could have been achieved if expenditure on production factors were optimally allocated.What the optimal allocations should have been are then determined in monetary terms. Opsomming Die produktiwiteit van die vervaardigingsnywerheid in die Noordwes Provinsie word in hierdie artikel bestudeer.’n Cobb-Douglas produksiefunksieword vir die vervaardingsnywerheid van die provinsie geskat. Die resultate word dan op die nywerheid se kostestrukture toegepas om te bepaal of die produksiefaktore optimal geallokeer is. Daar is gevind dat daar ’n kontinue afname in arbeidsproduktiwiteit bestaan.Hoe«r winste in uitset ismoontlik indien besteding aan produksiefaktore optimaal toegewysword.Wat die optimale allokasiemoesweesword dan bepaal.

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