scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMEGARUHI PRODUKSI PADI SAWAH DI DESA UETOLI KECAMATAN AMPANA TETE KABUPATEN TOJO UNA-UNA

2019 ◽  
Vol 26 (2) ◽  
pp. 111
Author(s):  
Tri Ifgayani ◽  
I Made Antara ◽  
Lien Damayanti
Keyword(s):  
Production Function ◽  
Function Analysis ◽  
Rice Production ◽  
Lowland Rice ◽  
Land Area ◽  
Significance Level ◽  
Factors Affecting ◽  
Urea Fertilizer ◽  
Number Of Seeds ◽  
Douglas Production Function

            This study aimed to analyze factors affecting lowland rice production in Uetoli village of Ampana Tete sub-district. This village is one of the centers of rice production in Tojo Una-Una district. Population of this study was lowland rice farmers in Uetoli village within which 34 respondents were selected.  Data collected was analyzed using the Cobb-Douglas production function analysis. The results of the study indicated that those variables such as land area (X1), number of seeds (X2), urea fertilizer (X3), phonska fertilizer (X4), and labor (X5) were simultaneously affected the rice production with F-counted value was 58.53 larger than the F-table (3.76) at 1% significance level (α) and R2 value was 0.955 indicating that 95.5% of variation in the rice production (Y) can be described by these variables. The coefficient regression was 0.429 for the land area (X1), 0.217 for the number of seeds (X2), 0.169 for the amount of urea fertilizer (X3), 0.163 for phonska fertilizer (X4), and 0.155 for the labor (X5). Keywords : Cobb-Douglas Production Function, Lowland Rice, and Regression.

scholarly journals Alocative Efficiency of Honey Pineapple Farm in Pemalang Regency, Central Java, Indonesia

2021 ◽  
Vol 232 ◽  
pp. 01016
Author(s):  
Triyono ◽  
Diah Rina Kamardiani ◽  
Muhammad Adhi Prasetio
Keyword(s):  
Production Function ◽  
Function Analysis ◽  
Factors Affecting ◽  
Central Java ◽  
Analysis Technique ◽  
Positive Effect ◽  
Douglas Production Function

Pineapple Honey is one of the superior commodity of Pemalang Regency, Central Java. However, production of honey pineapple in 2013- 2015 was occurred fluctuations. The purpose of this research is to know the factors that affect production and to know the level of elasticity in each honey pineapple farming input in the Beluk Village. The sampling of locations was carried out purposively with the consideration that beluk village was the centre of honey pineapple production. The number of samples was 64 farmers who were taken simple random. Cobb-Douglas production function analysis technique was used to determine the factors affecting the production and elasticity of each of the honey pineapple farming inputs. The results of the analysis showed that the factors affecting the production of honey pineapple are the number of plants, manure, and harvest season. In variables that affect production is obtained only variable manure has negative value. It can be occurred as effect of the application of immature manure. So, we suggest that the use of manure that is ripe and of good quality will have a positive effect on the growth and production of honey pineapple.

scholarly journals Pengaruh Faktor Produksi terhadap Produksi Usahatani Padi Sawah Tadah Hujan di Desa Menjalin

2020 ◽  
Vol 5 (5) ◽  
pp. 192
Author(s):  
Seravico Singa Delaseh ◽  
Erlinda Yurisinthae ◽  
Novira Kusrini
Keyword(s):  
Descriptive Study ◽  
Linear Analysis ◽  
Qualitative Approach ◽  
Lowland Rice ◽  
Rice Farming ◽  
Land Area ◽  
Urea Fertilizer ◽  
Rainfed Lowland ◽  
The Village ◽  
Douglas Production Function

This study aims to analyze the factors that influence the production of rainfed lowland rice in Menjalin Village. The variables used in this study were the production of rainfed lowland rice, land area, seeds, urea fertilizer, KCL fertilizer, Gramoxon herbicide, Regent insecticide, and harvest labor. This type of research is a descriptive study with a qualitative approach. This research was conducted in Menjalin Village from March 2020 to April 2020. The population in this study amounted to 816.Sampling using a simple random technique with determining the number of samples using the Slovin formula so that the sample used in this study were 89 respondents. The analysis used is a linear analysis of the Cobb-Douglas production function. Adaptation used SPSS version 25. The results showed that simultaneously the area of land, seeds, urea fertilizer, KCL fertilizer, Gramoxon herbicide, Regent insecticide, and harvest labor affected the production of rainfed lowland rice farming in Menjalin Village. Whereas partially the area of land, seeds, urea fertilizer, and herbicide Gramoxon have a significant effect on the production of rainfed lowland rice in Menjalin Village, while KCL fertilizer, Regent insecticide, and harvest labor do not have a significant effect on the production of farmed lowland rice. rain in the village of Menjalin.

scholarly journals FACTORS AFFECTING LOCAL CASSAVA PRODUCTION JALAK TOWO IN KARANGANYAR REGENCY

2021 ◽  
Vol 5 (1) ◽  
pp. 134-143
Author(s):  
Maria Vegasari Dian Puspita ◽  
Umi Barokah ◽  
Agustono Agustono
Keyword(s):  
Sampling Method ◽  
Function Analysis ◽  
Parameter Analysis ◽  
Model Parameters ◽  
Land Area ◽  
Optimization Analysis ◽  
Factors Affecting ◽  
Urea Fertilizer ◽  
Production Factors ◽  
Cassava Production

Cassava is one of Indonesia's local food which ranks third largest after paddy and corn. CentralJava Province ranks second in producing cassava in Indonesia. One of the regencies / cities that has thepotential to be developed in cassava farming is Karanganyar Regency. Karanganyar Regency has acassava variety called Jalak Towo. Jalak towo has a softer texture compared to other cassava.Thisstudy aim were determine the factors of production that affect the production of jalak towo cassava inKaranganyar Regency and its optimization analysis. The basic method used in this research wasdescriptive and analytical methods. The research location was Tawangmangu Subdistrict and JatiyosoSubdistrict as sub-districts producing jalak towo cassava in Karanganyar Regency. Sampling in thisstudy using a random sampling method with a total of 60 respondents consisting of 30 people at eachlocation. Data analysis methods used include: cobb-douglas production function analysis, varyingmodel parameter analysis and optimization analysis. The results of this study indicate that the factorsthat influence the production of jalak towo cassava are land area, experience, manure, urea fertilizer,age of the farmer, and location. Production factors that affect cassava production from the analysis ofvarying model parameters in Kec. Tawangmangu is the area ofland, manure, urea fertilizer, age of the farmer, and labor, while in Kec. Jatiyoso is land area and age. The results of the optimization analysisshowed that the combination of the use of production factors in Tawangmangu and Jatiyoso Subistrictsware not optimal.

PENERAPAN PENDUGAAN EFISIENSI ALOKATIF PADA USAHATANI BUNCIS (Phaseolus vulgaris, L)

2020 ◽  
Vol 21 (1) ◽  
pp. 81-90
Author(s):  
Marthen Robinson Pellokila
Keyword(s):  
Production Function ◽  
Allocative Efficiency ◽  
Maximum Output ◽  
Phaseolus Vulgaris L ◽  
Land Area ◽  
Price Efficiency ◽  
Efficiency Estimation ◽  
Area Use ◽  
A Company ◽  
Douglas Production Function

ABTRACT Efficiency is one of the important indicators to assess the performance of a company or farm. Efficiency guarantees the use of certain inputs to achieve maximum output levels (technical efficiency) and also efficiency ensures the use of certain inputs that maximize profits (price efficiency or allocative efficiency). This article discusses the application of the estimation of price efficiency / allocative efficiency of the use of production inputs in bean farming using the linearized Cobb-Douglas Production function. The results of the analysis shows that the application of price efficiency estimation for production inputs using the Cobb-Douglas production function is satisfactory as long as the classical assumptions required by the multiple regression are fulfilled. Of the five production inputs included in the model, only one production input provides a significant value to production, namely the production input for the land area use. Thus, only the production input for land area use is estimated at the value of its price efficiency. Based on the results of the analysis, it is found that the use of production inputs for land area use has not yet reached its price efficiency.

scholarly journals EFISIENSI EKONOMI SISTEM TANAM LEGOWO PADI SAWAH STUDI KASUS DI KECAMATAN TOMOHON BARAT KOTA TOMOHON

2019 ◽  
Vol 15 (3) ◽  
pp. 553
Author(s):  
Djuru Masrib Pandensolang ◽  
Vicky Ventje Johan Panelewen ◽  
Wenny ., Tilaar
Keyword(s):  
Economic Efficiency ◽  
Rice Production ◽  
Rice Fields ◽  
Survey Method ◽  
Land Area ◽  
Factors Affecting ◽  
North Sulawesi ◽  
Production Factors ◽  
Planting System ◽  
System Analyzing

This study aims to analyze how much profit is gained by applying the Legowo row planting system, analyzing the factors of production that affect rice production by applying the Legowo row planting system, analyzing whetherthe use of production factors allocated by farmers to the Legowo planting system economically already efficient. The study was conducted from January to April 2019 in Tomohon Barat Subdistrict, Tomohon City, North Sulawesi Province. The research location was chosen purposively with the consideration that West Tomohon Subdistrict was the center of rice production in Tomohon City with a total area of 447.40 ha of rice fields ( 52% of the total area of rice fields in Tomohon City). The method used in this study is a survey method in the Kelurahan that has paddy fields in the West Tomohon District with interview techniques to respondent farmers. Determination of the sample is done by quota sampling method as many as 50 people taken from 7 (seven) villages in the District of West Tomohon by considering the area of land and the purpose of farming (commercial farm). The variables to be examined in this study are age, education, business experience, group membership, land area, seeds, fertilizer (Urea, SP36 and NPK), labor (HKSP), production, and price. The results showed that the benefits of lowland rice farming with the application of the legowo planting system, farmers in Tomohon Barat Subdistrict, Tomohon City were not yet maximum and had not yet reached economic efficiency, production factors affecting rice production were land area, seeds, fertilizer (Urea, SP 36 and NPK Phonska) and labor, the use of production factors of land area, fertilizers(Urea, SP 36 and NPK Phonska) have not reached economic efficiency, the use of seed production factors and labor is inefficient.*eprm*

Study on factors affecting corn yield based on the Cobb-Douglas production function

2020 ◽  
Vol 228 ◽  
pp. 105869
Author(s):  
Qichen Zhang ◽  
Weihong Dong ◽  
Chuanlei Wen ◽  
Tong Li
Keyword(s):  
Production Function ◽  
Corn Yield ◽  
Factors Affecting ◽  
Douglas Production Function

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Produksi Usahatani Nanas Pada Lahan Gambut di Kecamatan Panai Tengah Kabupaten Labuhanbatu

2019 ◽  
Vol 1 (2) ◽  
pp. 100-108
Author(s):  
Budi Rezky Setiawan ◽  
Muhammad Buhari Sibuea ◽  
Erwin Pane
Keyword(s):  
Peat Soil ◽  
Secondary Data ◽  
Initial Step ◽  
Descriptive Study ◽  
Primary Data ◽  
Land Area ◽  
Factors Affecting ◽  
Natural Logarithm ◽  
Number Of Seeds

This study aims to determine how the influence of land area, number of seedlings, the number of labor and fertilizer simultaneously and partially on pineapple production in Panai Tengah sub-district Labuhanbatu Regency. This research was conducted in the Central Panai District Labuhan Batu District in April to June 2017. Determination of the location was done intentionally (purposive) with the consideration that the pineapple farming in Central Panai District is a farm carried out on the condition of the land with peat soil types and the results of their production have been has a characteristic as panai pineapple. This research is a descriptive study with a quantitative approach. The number of samples was 86 samples. The data used are primary and secondary data. Primary data obtained by interview using a questionnaire. While secular data uses data obtained from the agency. In this research, the initial step taken is to form an equation with the Cobb Doughlas function, then the equation is transformed in the form of a natural logarithm to facilitate multiple regression analysis using the SPSS 19.0 program. The results showed that the factors affecting pineapple production were land area, number of seeds, and number of workers.

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

scholarly journals Technical Efficiency and the Factors that Affect it in Rice Production in Indonesia

2021 ◽  
Vol 11 (3) ◽  
pp. 230-235
Author(s):  
Muhardi ◽  
Effendy
Keyword(s):  
Technical Efficiency ◽  
Informal Education ◽  
Rice Production ◽  
Rice Cultivation ◽  
Lowland Rice ◽  
Efficient Manner ◽  
Factors Affecting ◽  
Production Factors ◽  
Rice Yields ◽  
The Government

Most of the population of Asia depends on consuming rice to support their lives. This implies that rice production needs attention. The existence of inefficiencies in lowland rice production could reduce rice yields for consumption, so the measurement of technical efficiency in lowland rice production needed to be studied. This research aimed to analyze the level of technical efficiency in lowland rice cultivation and identify the factors affecting it. The research was done in the Palolo and Torue subdistrict of Indonesia. The number of samples used was 249 lowland rice farmlands, consisting of 106 and 143 farmers of organic and inorganic lowland rice cultivation, respectively. The results show that land, fertilizer, seeds, and labor had a positive and significant effect on lowland rice production. The average technical efficiency of lowland rice cultivation was around 78.2%. The results also show that manager education, extension contacts, superior seeds, and organic lowland rice cultivation have a significant effect on the level of technical efficiency in lowland rice production. We concluded that there is an opportunity for farmers to increase lowland rice yields if they can manage production factors in an efficient manner. The government could provide support for farmers, such as formal and informal education, extension, superior seeds, and ready-to-use organic materials.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI DAN TINGKAT PENDAPATAN USAHATANI PADI SAWAH PESERTA UPSUS PAJALE DI KECAMATAN GADINGREJO KABUPATEN PRINGSEWU

2021 ◽  
Vol 9 (4) ◽  
pp. 577
Author(s):  
Kresnalia Astasari ◽  
Wan Abbas Zakaria ◽  
Irwan Effendi
Keyword(s):  
Interval Data ◽  
Rice Paddy ◽  
Rice Production ◽  
Lowland Rice ◽  
Farm Income ◽  
Cost Ratio ◽  
Rice Farming ◽  
Farmer Participation ◽  
Land Area ◽  
Planting Season

The objectives of the research were to analyze the participation of farmers in the Upsus Program, to analyze the factors that affect rice production, and to analyze the income level of lowland rice farming in Gadingrejo Sub District, Pringsewu District. The research was conducted in March-April 2019. The analysis of farmerparticipation in the Upsus Pajale program using scoring technique which were processed into interval data with Methode of Succesive Interval. Factors that affecting rice production were analyzed using the Cobb Doughlass production function, and analysis of farm income using a comparison between total revenues and total costs, called Revenue Cost Ratio (R/C). The results of this study were farmers' participation in the Upsus Pajale program was in the middle class, the factors that affect the rice production of lowland rice farming, namely land area, amount of phonska fertilizer, pesticide and farmer participation. Income from cash costs obtained by farmers amounted to Rp18,116,478.41 with R/C of 6,23/0,73 ha/planting season and income to total costs amounted to Rp16,184,879.44 with an R/C of 4,00/0,73 ha/planting season.Keywords: factors, income, production, rice paddy

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