scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKSI TANAMAN PADI GOGO DI KABUPATEN MOROWALI

2019 ◽  
Vol 9 (1) ◽  
pp. 16-25
Author(s):  
Abas Abas ◽  
Hasmari Noer ◽  
If'all If'all
Keyword(s):  
Rice Yield ◽  
Upland Rice ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Average Yield ◽  
Land Area ◽  
Production Factors ◽  
Rice Yields ◽  
Factors Of Production ◽  
Central Sulawesi

This study aims to determine and analyze the factors that affect the yield of gogo rice plants in Morowali District, Central Sulawesi Province. This research was conducted in Morowali District, Central Sulawesi Province. The method used in sampling in this study is simple randomly selected. In this simple random technique each member of the population has the same opportunity to become a sample. This study analyzes the function of results using multiple linear regression analysis. Variable identification is done by listing production factors that are thought to have an effect on the process of upland rice yields. On the factors of production the variables that are affected (dependent variable) are results. While the variables that are variable (independent) affect are the area of ​​land, seeds, fertilizers, pesticides and labor. The results showed that the factors of production of land area, seeds, labor, fertilizers, and pesticides jointly influence the yield of upland rice. Variable land area partially has a significant effect on upland rice yields, with the highest average yield obtained in land area of ​​≤ 0.50 ha (average 3.76 t / ha). Partial variables of seed, labor, fertilizer, and pesticide did not significantly influence the upland rice yield respectively.

scholarly journals Analisis Faktor – Faktor yang Mempengaruhi Produksi Getah Pinus di Kabupaten Poso

d'CARTESIAN ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 127
Author(s):  
Jesi A. Lateka ◽  
Tohap Manurung ◽  
Jantje D. Prang
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Group Work ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Regression Equations ◽  
Land Area ◽  
Factors Affecting ◽  
Group Workers ◽  
Central Sulawesi

JESI APRIANI LATEKA. Analysis of Factors Affecting Pine Gum Production in Poso District. Supervised by JANTJE D. PRANG as main supervisor and TOHAP MANURUNG as a co-supervisor.            Poso Regency is a center of productivity for pine resin in Central Sulawesi, so it is very important to know the factors that influence the production of pine sap in Poso District. Referring to several previous studies, the accumulation of various factors can cause a problem or an event triggered by various previous events, to predict the use of multiple linear regression equations that can summarize these various factors. The data used in this study are data on the land area of each group (X1 ), the number of group workers (X2) and the number of hours of group work (X3). Based on the results of multiple linear regression analysis there is a symptom of multicollinearity between the variables of the number of workers and the number of hours worked, therefore to overcome this one variable is taken, namely the number of workers. The results of the analysis show that the variable area of land and the number of labor simultaneously affect the production of pine sap with a determination coefficient of 93%. Kata kunci:   Analysis of Multiple Linear Regression, Pine Forest in Poso District

scholarly journals Faktor Yang Mempengaruhi Produksi Tembakau (Nicotiana tabacum) Di Kecamatan Sulang Kabupaten Rembang

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Dessriana Eka Widi Astuti ◽  
Suprapti Supardi ◽  
Shofia Nur Awami ◽  
Dewi Hastuti
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Land Area ◽  
Independent Variables ◽  
Production Factors ◽  
Tobacco Production ◽  
Number Of Seeds

This study aims to determine the factors that influence tobacco production and determine the level of efficient use of inputs on tobacco production factors. This research uses a stratified random sampling method with 63 farmers as respondents. The analysis used is multiple linear regression and calculation of economic efficiency. The results stated that the R2 value obtained through multiple linear regression analysis was 0.890, meaning that the contribution of independent variables (land area, number of laborers, number of seedlings, amount of TSP fertilizer, amount of ZA fertilizer, amount of ZK fertilizer, number of pesticides) to tobacco production was 89 percent, while 11 percent is influenced by other variables outside the model. The results of the F-test were jointly influential and the t-test showed variables that influenced tobacco production including land area, number of laborers, number of seeds, amount of ZA fertilizer, and amount of pesticides. Variables such as the amount of TSP fertilizer and the amount of ZK fertilizer had no significant effect. The use of production factors in tobacco farming has not been efficient. Keywords: Efficiency, Production, Tobacco.

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 ANALISIS PENGARUH FAKTOR- FAKTOR PRODUKSI TERHADAP PENDAPATAN USAHATANI BAWANG MERAH DI DESA LAPANDEWA MAKMUR KECAMATAN LAPANDEWA KABUPATEN BUTON SELATAN

2019 ◽  
Vol 2 (2) ◽  
pp. 99-110
Author(s):  
Waode Alzarliani
Keyword(s):  
Linear Regression Analysis ◽  
Simple Random Sampling ◽  
Multiple Linear Regression Analysis ◽  
Farm Income ◽  
Land Area ◽  
Analysis Techniques ◽  
Factors Of Production ◽  
On Farm ◽  
Significant Factors

This research was conducted in Lapandewa Makmur Village of Lapandewa sub-district of South Buton Regency, which takes place from June to July 2015. The aims of this research were : 1) to know what the area of land, seed, fertilizer, tanager labor simulates significant effect on farm incomes onion; 2) whether a land area is a partially significant effect on farm incomes onion; 3) whether the seed is partially significant effect on farm incomes onion; 4) whether the fertilizer is partially significant effect on farm incomes onion; 5) whether the workforce is partially significant effect on farm incomes onion. The purpose of this research were; 1) to determine the effect of land seed fertilizer, and labor on the farm income of onion, 2) to determine the effect of land on onion farming income, 3) to determine the effec1 of seed on onion farming income, 4) to determine the effect of fertilizer on onion farming income, 5) to determine the effect of employment on onion farming income. The population in this research is the overall farmers who cultivate plants of onion totaling 160 people. The determination of samples was done by simple random sampling so that the number of samples obtained as many as 40 people. Furthermore, the data tabulated and analyzed by multiple linear regression analysis techniques to find out whether there is an influence of socio-economic characteristics of the respondent against the productivity of farmers in onion farming. The results of the analysis conducted regression equation Y = 628566.433 + 5166123.665X1 + 0.0821X2 + 13.646X3 - 0.103X4 + e; The results of the research suggest that there as significant factors of production on onion farming income with adjusted R Square at 0.514. This shows that the factors of production together have the same influence on onion farming income of 51.4% and the remaining 48.6% is influenced by other factors. The value of significance for land area (X1) =0.026; seeds (X2) = 0.893; fertilizer (X3) = 0.024; labor (X4) = 0.854. The value of the probability obtained each of these variables is smaller when compared to the significance or confidence level 5%> or 0.05 then it can be said of the variable land area and fertilizer have significant effect, while labor (X4) and seeds (X2) have not significantly affected the revenues of onion farming.  Keywords: revenue, costs of production, cocoa

Factors Affecting the Production of the Coffee Farming in Uluway Village Mengkendek Sub District Tana Toraja District

2021 ◽  
Vol 6 (1) ◽  
pp. 37
Author(s):  
Renatha Mersi ◽  
Ayub Manggala Padangaran ◽  
Fahria Nadiryati Sadimantara
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Land Area ◽  
Coffee Production ◽  
Factors Affecting ◽  
Land Preparation ◽  
Processing Techniques ◽  
Coffee Farming

This study aimed to determine what factors influence coffee production in Uluway Village, Mengkendek Sub District of Tana Toraja District. The research was conducted from March to May 2020 where these factors include land area, labor, fertilizers, and pesticides. This study aimed to determine what factors influence the people's coffee production in Uluway Village, Mengkendek Sub District of Tana Toraja District. The population of this study was all the farmers who cultivated coffee in Uluway Village, Mengkendek Sub District of Tana Toraja District. The sample of this study was 78 respondents who were determined by using the census method. The analytical method used is descriptive qualitative data analysis, the second data analysis using multiple linear regression analysis, and the third. The research results can be drawn from several conclusions, including the coffee farming processing techniques in Uluway Village, namely land preparation, planting, maintenance, harvesting, and postharvest. Factors that have a real effect include land area, fertilizers, and pesticides, while factors that do not affect coffee production are labor

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 The influence of servant leadership on job satisfaction with individual character as a moderating variable

2021 ◽  
Vol 19 (1) ◽  
pp. 445-455
Author(s):  
Bakri Hasanuddin ◽  
Mustainah M ◽  
Pricylia Chintya Dewi Buntuang
Keyword(s):  
Job Satisfaction ◽  
Servant Leadership ◽  
Correlation Coefficient ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Emotional Healing ◽  
A Value ◽  
Individual Character ◽  
Central Sulawesi

This study aims to investigate the influence of servant leadership on job satisfaction with individual character as a moderating variable. It used a quantitative approach with multiple linear regression analysis. The population of this study were employees of the Central Sulawesi province industry and trade office. It involved 72 samples selected using a purposive sampling technique. The results showed that servant leadership significantly influence job satisfaction with a value of 82.5%. The most significant factor affecting job satisfaction is wisdom (correlation coefficient = 0.863) in which the higher the wisdom, the higher the job satisfaction. The next factor is persuasive mapping in which the higher the persuasive mapping, the higher the job satisfaction (correlation coefficient = 0.697). Then, it was followed by altruistic calling with the correlation coefficient value of 0.524 in which the higher the altruistic calling, the higher the job satisfaction. The last is emotional healing with a correlation coefficient value of 0.291 in which the higher the emotional healing, the higher the job satisfaction. On the other hand, organizational stewardship is the only factor does not influence the job satisfaction (correlation coefficient = 0.009).

scholarly journals ANALISIS FINANSIAL DAN EFISIENSI PRODUKSI USAHATANI RUMPUT LAUT DI KOTA KENDARI

Agro Ekonomi ◽  
2016 ◽  
Vol 18 (1) ◽  
pp. 43
Author(s):  
Azwir Azwir ◽  
Jangkung Handoyo Mulyo ◽  
Any Suryantini
Keyword(s):  
Linear Regression Analysis ◽  
Allocative Efficiency ◽  
Multiple Linear Regression Analysis ◽  
Variable Number ◽  
Eligibility Criteria ◽  
Average Value ◽  
Production Factors ◽  
Analysis Technique ◽  
Positive Effect ◽  
Number Of Seeds

This study aims to determine the factors that influence the production of seaweedfarming, the level of efficient use of production factors, the factors that affect the efficiency of production and determine thefeasibility of seaweed farming financially. The data analysis technique used is multiple linear regression analysis and financial feasibility. The results showed that the factors of production (input)positive effect on production and productivity of seaweed in Kendari is widely kavlingan, number of seeds, the level of education and dummy location. For the analysis of the level of technical efficiency (I'ER) with an average value of 1.0001 indicates that the utilization of thefactors of production (input) by seaweed farmers in Kendari is efficient. Allocative efficiency analysis results (efficiency rates) kavlingan widely variable, labor and variable number of seeds not be located efficiently (inefficiently). From the calculationof profit using investment eligibility criteria NPV, IRR , and B/C ratio in the know that seaweedfarming profitable and worth the effort or developed.Penelitian ini bertujuan untuk.mengetahui faktor-faktor yang mempengaruhi produksi usahatani rumput laut, tingkat efisien penggunaan faktor produksi, faktor-faktor yang mempengaruhi efisiensi produksi serta mengetahui kelayakan usahatani rumput laut secara tinansial. Teknik analisis data yang digunakan adalah analisis regresi linear berganda dan kelayakan fmansial. Hasil penelitian menunjukkan bahwa faktor-faktor produksi (input) yang perpengaruh positif terhadap produksi dan produktivitas rumput laut di Kota Kendari adalah luas kavlingan, jumlah bibit, tingkat pendidikan dan dummy lokasi. Untuk. hasil analisis tingkat efisiensi teknis (TER) dengan nilai rata-rata 1,0001 menunjukkan bahwa pemanfaatan faIstor-faktorproduksi (input) oleh petani rumput laut di Kota Kendari sudah efisien. HasH analisis efisiensi alokatif (efisiensi harga) variabelluas kavlingan, tenaga kerja dan variabeljumlah bibit belum dilokasikan secara efisien (tidak efisien). Dari hasil perhitungan keuntungan dengan menggunakan kriteria kelayakan investasi NPV, IRR, dan B/C Ratio di ketahui bahwa usahatani rumput laut menguntungkan dan layak diusahakan atau dikembangkan.

Analisis efisiensi dan skala ekonomi pada industri bumbu masak dan penyedap masakan di Indonesia

2019 ◽  
Vol 16 (2) ◽  
pp. 63-73
Author(s):  
Putri Devintha S.B. ◽  
Imam Asngari ◽  
Suhel Suhel
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Economies Of Scale ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Analytical Techniques ◽  
Multiple Linear Regression Analysis ◽  
Stochastic Production Frontier ◽  
Price Efficiency ◽  
Production Factors

The purpose of this study is to determine technical efficiency, alocative/price efficiency and economies efficiency using production factors, and to know about economies of scale of seasoning and flavoring Industry in Indonesia. The data used in this research were secondary data with five digit ISIC (10772) using panel data and for the analytical techniques used in this study include multiple linear regression analysis as production function with stochastic production frontier approach. The result shows that labor production function has positive but insignificant impact on the production, while capital and material has positive and significant impact on the production. The value of technical efficiency is 0,7796 or 77,96% shows that the used of production factors is inefficient technically, the value of alocative/price efficiency is 1,7703 that is mean inefficient, the value of economies efficiency is 1,3801 7703 means that economies efficiency has not achieved the standard yet, and economies of scale is about 1,0203, means that the economies of scale is always increase or commonly known as incresing return to scale but, the value of economies of scale is equal to one, so that the economies of scale can be known as constant return to scale

Cultivar and Weeding Effects on Weeds and Rice Yields in a Degraded Upland Environment of the Coastal Savanna

2011 ◽  
Vol 25 (3) ◽  
pp. 322-329 ◽  
Author(s):  
Amadou Touré ◽  
Jonne Rodenburg ◽  
Kazuki Saito ◽  
Sylvester Oikeh ◽  
Koichi Futakuchi ◽  
...  
Keyword(s):  
West Africa ◽  
Rice Yield ◽  
Upland Rice ◽  
Biomass Accumulation ◽  
Rice Cultivars ◽  
Weed Species ◽  
Weed Growth ◽  
Weed Suppressive Ability ◽  
Rice Yields ◽  
Growing Conditions

Weeds are a major constraint to rice production in labor-limited, upland rice-based systems in West Africa. The effects of weeding regimes and rice cultivars on weed growth and rice yield were investigated at two upland locations (Abomey-Calavi and Niaouli) in the degraded coastal savanna zone of Benin in 2005 and 2006 with below-average rainfall. Four weeding regimes (hoe weeding at 21 d after sowing [DAS], delayed hoe weeding at 31 DAS, hoe weeding at 21 and 42 DAS, and a no weeding control) were the main plot treatments. Cultivars comprising three interspecific upland rice cultivars (NERICA 1, NERICA 2, and NERICA 7) and the parents (Oryza sativaWAB56-104 andO. glaberrimaCG14) were tested in subplots. The most dominant weed species identified were Jamaican crabgrass,Mariscus, and silver spinach. Rice yield was generally low because of drought stress; none of the experiments had a higher mean yield than 1,400 kg ha−1across cultivars. Across cultivars, the best weeding regimes in terms of weed control and rice yields were single weeding at 31 DAS (W31) and double weeding at 21 and 42 DAS (W21+42). Under these weeding regimes, WAB56-104 out-yielded the three NERICA cultivars. CG14 showed the strongest weed suppressive ability (WSA) in Abomey-Calavi but did not have strong WSA in Niaouli because of lower biomass accumulation. WSA of WAB56-104 was similar to that of the three NERICA cultivars. Single weeding at 31 DAS, together with the use of cultivars with good adaptation to unfavorable rice growing conditions, would increase land and labor productivity of upland rice-based systems in West Africa.

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