scholarly journals Identifikasi Faktor-Faktor yang Mempengaruhi Pendapatan Petani Asparagus (Kasus pada Kelompok Tani Sayur Mertanadi di Desa Pelaga, Kabupaten Badung)

2017 ◽  
Author(s):  
K A EDI SUYOGA ◽  
DWI PUTRA DARMAWAN ◽  
I NYOMAN GEDE USTRIYANA
Keyword(s):  
Chicken Manure ◽  
Path Modeling ◽  
Price Support ◽  
Significance Level ◽  
Factors Affecting ◽  
Production Factors ◽  
Income Data ◽  
Npk Fertilizer ◽  
Horticultural Products ◽  
Factors Of Production

Identification of Factors Affecting Asparagus Farmer’s Income (Case On Kelompok Tani Mertanadi at Pelaga Village, Badung Regency)Asparagus is one of the horticultural products that has high sales value. MertanadiVegetables Farmer group is a group of farmers who produce asparagus in Bali. Thepurpose of this study was to determine the factors of production that have an impacton farmer’s income. Data collection for this study was conducted from May to June2016 with accidental sampling method. PLS path modeling is used to analyze theinfluence of production factors on income. Results showed some of the factors ofproduction such as chicken manure, cow manure, NPK fertilizer, and urea fertilizerhas effect on revenue. All factors of production are reflected through latent variablesfertilizers and chemicals, with t-statistics value of 5.625 at 5% significance level andalso with f2 value of 0.552 in the model. Other factors of production used as anindicator obtained did not have a significant effect on revenue. Suggestion can begiven based on this research to farmers is to optimize the use of fertilizers and drugsin the production process by taking into account the costs required. Government isexpected to support the farmers with price support policies. Further research isexpected to do research with indicators relating to cost with more indicators and alarger sample.

scholarly journals ANALISIS PENDAPATAN DAN FAKTOR PENENTU PRODUKSI KAKAO HASIL SAMBUNG SAMPING DI KABUPATEN KONAWE

2018 ◽  
Vol 7 (2) ◽  
pp. 72
Author(s):  
Rusdin Rusdin ◽  
Zainal Abidin
Keyword(s):  
Organic Fertilizer ◽  
Land Area ◽  
Average Productivity ◽  
Production Factors ◽  
Study Results ◽  
Cocoa Production ◽  
Cultivation Technology ◽  
Npk Fertilizer ◽  
Low Levels ◽  
Factors Of Production

Extensive cocoa plantations in Southeast Sulawesi at 2013 were approximately 245 624 ha, which consists of 177 996 ha of productive plants, 38.970 ha and 28.658 ha unproductive unproductive plants. Cocoa productivity in Southeast Sulawesi as a whole is 0.754 t/ha. The low productivity of cocoa was due to several factors, namely: the use of random seed, still high PBK pest attack, low levels of cultivation technology, as well as the age old cocoa plants. The study was conducted in March - June 2014 Andomesinggu village, district. Besulutu, Konawe. The study results showed that the average productivity of the cocoa plant side grafting 2-3 years amounted to 380 kg/ha, profit of Rp. 7.160.900, -. with the value of RC ratio  of 4.22, meaning farming in the district Konawe economically feasible to be developed. Variables land area is very significant in improving cocoa production and is positive. Similarly, production factors KCl fertilizer, organic fertilizer real berpengatuh to increase cocoa production. While the factors of production of NPK fertilizer, Urea, ZA and pesticides did not significantly decline in production (negative values).

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 FAKTOR-FAKTOR YANG MEMPENGARUHI HASIL PRODUKSI UNIT PENANGKAPAN PURSE SEINE (GARDAN) DI FISHING BASE PPP MUNCAR, BANYUWANGI, JAWA TIMUR Factors Affecting the Production of Purse Seine Unit in Fishing Base Muncar Fishing Port Banyuwangi, East Java

2016 ◽  
Vol 11 (2) ◽  
pp. 120
Author(s):  
M. Agung Didi Pratama ◽  
Trisnani Dwi Hapsari ◽  
Imam Triarso
Keyword(s):  
Sampling Technique ◽  
Purse Seine ◽  
Factors Affecting ◽  
Descriptive Case Study ◽  
Purposive Sampling ◽  
Production Factors ◽  
Factors Of Production ◽  
Fishing Fleets ◽  
The Stability ◽  
Over Exploitation

ABSTRAK   Sumberdaya ikan di perairan Selat Bali terjadi peningkatan dari tahun ke tahun, sehingga meningkatkan jumlah armada unit penangkapan Purse Seine untuk menjaring Lemuru yang berdampak over eksploitasi pada tahun 2010. Untuk mengatasi hal tersebut kembali dijalankan peraturan mengenai pembatasan unit armada Purse Seine guna menekan laju peningkatan armada penangkapan. Kebijakan tersebut berdampak kembali stabilnya unit armada alat tangkap Purse Seine dan meningkatkan hasil tangkapan  ikan khususnya Lemuru di tahun 2011-2014 secara bertahap. Efisiensi penggunaan armada kapal penangkap ikan yang menggunakan alat tangkap Purse Seine sangat terkait dengan masalah identifikasi faktor-faktor produksi yang mempengaruhi produktivitas dan efektifitas dalam memanfaatkan sumberdaya ikan. Untuk itu perlu dikaji tentang faktor produksi agar mengetahui faktor-faktor apa saja yang mempengaruhi hasil tangkapan guna meningkatkan hasil tangkapan nelayan. Metode yang digunakan dalam penelitian ini adalah studi kasus dengan analisis deskriptif dan metode pengambilan sampel purposive sampling. Metode analisis yang digunakan berupa uji asumsi klasik dan fungsi produksi Cobb-Douglas. Hasil penelitian menunjukan bahwa faktor-faktor yang berperan nyata pada unit alat tangkap Purse Seine di PPP Muncar, Banyuwangi, Jawa Timur yaitu lama trip (X1), jumlah ABK (X2), Watt (X3), Panjang Jaring (X4), Lebar/kedalaman Jaring (X5), Kekuatan Mesin (X6), BBM (X7) dan Pengalaman Juragan (X9). Hubungan antara faktor-faktor produksi dengan produksi alat tangkap Purse Seine di PPP Muncar, Banyuwangi dapat direpresentasikan dalam model fungsi Cobb-Douglas, yaitu sebagai berikut: ln Y=4,441–0,494 ln X1+0,318 ln X2–0,088 ln X3+0.,104 ln X4+0,375 ln X5+0,442 ln X6–0,103 ln X7+0,033 ln X9   Kata kunci: Purse Seine ‘Gardan’, faktor produksi, Banyuwangi     ABSTRACT The increase of fisheries stocks in the Bali Strait year after year multiplied the number of fishing fleets to captured Lemuru and caused the over exploitation in 2010. To overcome the issue, the regulation on Purse Seine fleets restrictions was reapplied to control the increase of fishing fleets. The policy affected the stability of Purse Seine fishing fleets and gradually improved the captured, particularly Lemuru, in 2011 - 2014. The efficiency of Purse Seine fishing fleets usage was strongly related to the identifying issues of production factors influencing the productivity and effectiveness of fish resource utilization. Therefore, it was necessary to identified the production factors in order to determine fishing increasing factors eventually to improve the fishermen's captured. The method in this research was descriptive case study with purposive sampling technique. The analysing method was  classical assumption test and the production function of Cobb-Douglas. The results showed that factors significant in fishing production  Purse Seine in Muncar Fishing Port, Banyuwangi, East Java were, Fishing Trip (X1), the number of Crew (X2), Light Intensity (X3), Length of Purse Seine (X4), Width of Purse Seine (X5), Engine Power (X6), fuel (X7), and Experience Squire (X9). The relationship between the factors of production to the production of Purse Seine fishing gear in Muncar Fishing Port, Banyuwangi can be represented in the model of the Cobb-Douglas function, namely as follows: ln Y=4.441–0.494 ln X1+0.318 ln X2 –0.088 ln X3+0.104 ln X4+0.375 ln X5+0.442 ln X6–0.103 ln X7+0.033 ln X9  Keywords: Purse Seine, factors of production, Banyuwangi 

scholarly journals THE ANALYSIS OF INFLUENCE USE PRODUCTION FACTORS ON RAINFED LOWLAND RICE FARMING IN VILLAGE SERINDANG, DISTRICT OF TEBAS SAMBAS REGENCY

2014 ◽  
Vol 1 (3) ◽  
Author(s):  
Listiasari, Jajat Sudrajat, Adi Suyatno
Keyword(s):  
Lowland Rice ◽  
Primary Data ◽  
Survey Method ◽  
Rice Farming ◽  
Land Area ◽  
Urea Fertilizer ◽  
Production Factors ◽  
Rainfed Lowland ◽  
Npk Fertilizer ◽  
Factors Of Production

ABSTRACT This study was aimed to determine the effect of the use of production factors rainfed lowland rice farming in Serindang, Tebas, Sambas regency. The method used in this study was a survey method. The location of research was purposively selected in the Serindang, Sambas by considering of farming was the central high produced of rice and it was the main income for the farmers. The primary data was collected by simple random sampling while secondary data was collected from Central Bureau Statistic (BPS) and Village Chief Office. The numbers of respondents were 37 farmers from 730 populations of rainfed rice farmers. The variables examined in this study covered a land area, number of seeds, Urea fertilizer, NPK fertilizer, the amount of herbicides, insecticides, and the non-family workers. The analysis of production factors use in Serindang was Regression Test Cobb-Douglas function. The results of the analysis showed that the factors of production land area were significantly affect production, while the factors of production of seed, urea fertilizer, NPK fertilizer, herbicides, insecticides and non family workers were not significantly affect production. It was influenced by the use of local seed that was not responding toward fertilizing and erroneously rainfall affected uncontrolled irrigation that was influencing the rice growth. Keywords: Factors of production, rice, rainfed lowland

scholarly journals Production Factors Efficiency Of Potato Farming In Tosari Village

2020 ◽  
Vol 14 (3) ◽  
pp. 511
Author(s):  
Titik Wahyuningsih ◽  
Agnes Quartina Pudjiastuti ◽  
Sumarno Sumarno
Keyword(s):  
Solanum Tuberosum L ◽  
Simple Random Sampling ◽  
Potato Production ◽  
Linear Regression Models ◽  
Factors Affecting ◽  
Production Factors ◽  
Directorate General ◽  
Horticultural Products ◽  
Dominant Influence ◽  
Significant Factors

Potatoes (Solanum tuberosum L.), one of seven horticultural products targeted to be developed in 2015 by Directorate General of Horticulture. Pasuruan Regency was be able to produce potatoes up to 50% of the total potato production in East Java. Although potatoes cultivation in the Tosari District is relatively large, potatoes productivity is still a problem for the farmers. This study was aimed at analyzing the factors of production that had a dominant influence on potato production and its technical efficiency in the Tosari Village, Tosari District, Pasuruan Regency. Sample was determined by simple random sampling and amounted to 30 potato farmers. Data were analyzed with multiple linear regression models. Analysis revealed that the significant factors affecting potato production in Tosari Village were urea, SP36, ZA and manure. Application of urea, ZA and manure in potato farming in Tosari Village had not been efficient, so it can be added. Meanwhile, SP36 fertilizer was still applied inefficiently, so it must be reduced..

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 ANALYSIS OF FACTORS AFFECTING PRODUCTION AND REVENUE OF TUBEROSE (Polianthes tuberosa L.) FARMERS IN PRODUCTION CENTER OF CENTRAL JAWA

2021 ◽  
Vol 5 (1) ◽  
pp. 91-101
Author(s):  
Ani Mulyani ◽  
Titik Ekowati ◽  
Endang Dwi Purbajanti
Keyword(s):  
Production Function ◽  
Organic Fertilizer ◽  
Regression Function ◽  
T Test ◽  
Test Results ◽  
Factors Affecting ◽  
Production Factors ◽  
Npk Fertilizer ◽  
Farmer Income

The purpose of this research is to analysis the effect of using production factors, farmer income and feasibility on Tuberoses flower (Polianthes tuberosa L.) crops. Research used census method and the number of sampel are 30 respondents, in Semarang and Magelang regency. Analysis of research used  Cobb-douglas model of production function,  linier regression function and one sample t test.The results of the   analysis of production function showed the amount of seeds, organic fertilizer,  NPK fertilizer, labor and the water have significant effect. The results of the analysis of the income function that have significant effect were the price and the amount of production,  this means, if increase in prices or increase in production, the farmer's income will increase. One samplet t-test results showed tuberose flowers farming was profitable and feasible to be developed

scholarly journals EFISIENSI PENGGUNAAN FAKTOR-FAKTOR PRODUKSI PADA USAHATANI CABAI MERAH KERITING (Capsicum annuum L.) (Studi Kasus di Kelompok Tani Prawoto Sari, Desa Munding, Kecamatan Bergas, Kabupaten Semarang)

2020 ◽  
Vol 20 (2) ◽  
pp. 77-87
Author(s):  
Purry Nur Hasanah ◽  
Mahananto ◽  
Agung Prasetyo
Keyword(s):  
Organic Fertilizer ◽  
Sampling Technique ◽  
Production Costs ◽  
Average Income ◽  
Total Cost ◽  
Independent Variables ◽  
Production Factors ◽  
Efficient Level ◽  
Npk Fertilizer ◽  
Factors Of Production

The purpose of this research were to determine the amount of production costs and income obtained from the cultivation of curly red chilli, knowing the factors of production that affect the production of curly red chilli, and to Determine an efficient use of production factors in curly red chilli farming in  the Prawoto Sari Farmer Group Krajan Backwood, Munding Village, Bergas District, Semarang Regency. The method of determining the location of research using purposive or intentional methods. The sampling technique used was Random Sampling. The results showed that the average total cost incurred by farmers per farm is Rp. 10,658,731.33 or Rp. 85,269,850.64 per hectare. The average income received by farmers per farm is Rp. 11,437,101.67 or Rp. 91,496,813.36 per hectare. Based on the F test all independent variables together have a very significant effect on curly red chilli production. Based on the t test the factors of production that significantly affect production are NPK fertilizer, liquid organic fertilizer Gro-mate Ls and rotraz 200 ec insecticide. The use of production factors in curly red chilli farming has not yet reached the maximum efficient level. Inefficient factors are manure, NPK fertilizer, POC, rotraz 200 ec insecticide and mulch so that its use needs to be added. While the inefficient factor is labor, dupont lannate 25 wp insecticide and stakes, so that its use does not need to be increased or reduced.

HYGIENIC INFLUENCE OF PRODUCTION FACTORS ON THE EPIDEMIOLOGY OF DERMATOSES IN RAILWAY TRANSPORT WORKERS IN THE CONTEXT OF THE COVID-19 PANDEMIC

2021 ◽  
Author(s):  
O.A. Karpova ◽  
◽  
V.A. Semenikhin ◽  
B.A. Balandovich ◽  
◽  
...  
Keyword(s):  
Skin Diseases ◽  
Working Environment ◽  
Labor Process ◽  
Diagnosis And Treatment ◽  
Railway Transport ◽  
Working Population ◽  
Study Objective ◽  
Factors Affecting ◽  
Production Factors ◽  
Transport Workers

Abstract: Introduction. In the context of the COVID-19 pandemic, it is necessary to look for new approaches to the prevention, diagnosis and treatment of skin diseases in the working population. Study objective. To study the hygienic influence of harmful and dangerous factors of the working environment and the severity of the labor process on the structure of the general dermatological morbidity in railway transport workers who ensure the safety of train traffic in the conditions of the COVID-19 pandemic. Materials and methods. The complex of harmful production factors affecting railway transport workers was studied according to the sanitary and hygienic characteristics of the working conditions of employees of the Altai region of the West Siberian Railway of JSC "Russian Railways". The structure of the general dermatological morbidity was studied according to the statistical coupons of outpatient patients who applied to a dermatovenerologist in the CHUZ " CB "Russian Railways-Medicine" Barnaul for the period 2019-2020. Results. The conducted complex of hygienic, epidemiological and statistical studies showed that the combined impact of chemical, meteorological, physical, biological harmful production factors and the severity of the labor process (class 3.1-3.5) in railway transport workers who ensure the safety of train traffic leads to the development of such production-related skin diseases as contact dermatitis and psoriasis. In the context of the COVID-19 pandemic, skin infections (62.8%) predominate over non-infectious dermatoses in the structure of the total dermatological morbidity. The share of primary morbidity increased to 90.8%. The first rank is occupied by pyoderma (47.5%), the second – allergodermatoses (20.0%), the third – mycoses (11.6%). Conclusion. The COVID-19 pandemic leads to changes in the epidemiological and clinical features of dermatoses in the working population, which must be taken into account in their prevention, diagnosis and treatment.

scholarly journals Technical Efficiency of Gambir Farming in Lima Puluh Kota Regency, West Sumatra, Indonesia

2021 ◽  
Vol 4 (1) ◽  
pp. 18
Author(s):  
Fauziah Fauziah ◽  
Hasnah Hasnah ◽  
Rusda Khairati
Keyword(s):  
Technical Efficiency ◽  
Negative Impact ◽  
Stochastic Frontier ◽  
Plant Age ◽  
System Technology ◽  
Factors Affecting ◽  
West Sumatra ◽  
Npk Fertilizer ◽  
Older Farmers ◽  
Frontier Production Function

This study analyzes the factors influencing gambier productivity, analyzes the technical efficiency of gambier farming, and analyzes the factors affecting gambier farming's technical efficiency. This research was conducted in Lima Puluh Kota Regency, a gambier production center in West Sumatra. Data were analyzed using the Cobb Douglas stochastic frontier production function. The results showed that the factors that significantly influenced gambier's productivity were labor, NPK fertilizer, plant age, number of trees, varieties, and technology. The number of labor, fertilizer factor, plant age, number of trees, and seedling varieties had a positive effect on gambier productivity. In contrast, NPK fertilizer and technology had a negative impact on gambier productivity. The technical efficiency level of gambier farming started from 0.25 to 0.99 with an average level of 0.76. It means that farmers are technically efficient but can still increase gambier productivity if they use production inputs appropriately and adequately. Factors that significantly influence technical efficiency are age, farming experience, and technology. Older farmers will have a higher level of technical efficiency compared to young age. The lower the farming experience, the more technically efficient the farmer is. Farmers who use the hydraulic jack system technology are more efficient than farmers who use the jack system technology

Sign in / Sign up

Export Citation Format

Share Document