The Effect of Farmers Characteristics on the Productivity of Chili Farming in Moolo Village, Batukara Sub District, Muna District

2021 ◽  
Vol 6 (2) ◽  
pp. 53
Author(s):  
Hasriati Hasriati ◽  
Awaluddin Hamzah ◽  
Salahuddin Salahuddin
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Agricultural Productivity ◽  
Multiple Linear Regression Analysis ◽  
Entire Population ◽  
Land Area

This research was conducted in Moolo Village, Batukara Sub District, Muna District. This study aimed to determine the effect of farmer characteristics on the productivity of chili in Moolo Village, Batukara Sub District, Muna District. This research was conducted from February to July 2020. The population in this study was 28 farmers. Sampling in this study uses the census method, where the researcher takes the entire population of chili farmers in Moolo Village. The analysis used in this study is to use multiple linear regression analysis. Based on the multiple linear regression analysis results, it is known that the variables of land area, production, and labor have a significant effect on the agricultural productivity of chili.

scholarly journals Pengaruh Gaya Kepemimpinan dan Kompensasi terhadap Kepuasan Kerja

2021 ◽  
Vol 6 (2) ◽  
pp. 79-88
Author(s):  
Sinollah ◽  
Muhammad Ubaitulloh
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Leadership Style ◽  
Quantitative Methods ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Entire Population ◽  
Independent Variable

This study aims to determine and analyze the influence of leadership style and compensation on job satisfaction at the Employment of Badan Penyelenggara Jaminan Sosial Ketenagakerjaan in Malang Raya. To achieve this goal, this study uses quantitative methods using multiple linear regression analysis. This study uses the dependent variable, namely Leadership Style and Compensation. While the independent variable is satisfaction. The sample used in this study is 44 which is the entire population. The results showed that leadership style and compensation did not have a significant effect either partially or simultaneously on job satisfaction at Badan Penyelenggara Jaminan Sosial Ketenagakerjaan di Malang Raya in Malang Raya

scholarly journals PENGARUH KOMPENSASI DAN DISIPLIN KERJA TERHADAP KINERJA KARYAWAN PADA PT. HADJI KALLA CABANG PALU

2020 ◽  
Vol 5 (3) ◽  
pp. 320-329
Author(s):  
Astrit Nancy ◽  
Harnida Wahyuni Adda ◽  
Mohammad Ali Murad
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Entire Population ◽  
Descriptive Data ◽  
Analysis Techniques

This study ainst o determine and analyze the effeck of compensation and work discliplineon employee performance of at PT. Hadji Kalla Branch Palu. The population in this studyt were all employees of  PT. Hadji Kalla Palu Branch, amounting to 46 employees, the entire population made as respondents (census). This study usesdescriptive  descriptive data analysis with a quantitative approach that uses multiple linear regression analysis techniques. The result of this study day that compensation and work discipline have a positive and significant effect on employee performance at PT. Hadji Kalla Palu Branch. Penelitian ini bertujuan untuk mengetahui dan meganalisis pengaruh kompensasi dan disiplin kerja terhadap kinerja karyawan  pada PT. Hadji Kalla Cabang Palu. Populasi dalam penelitian ini ialah seluruh karyawan PT. Hadji Kalla Cabang Palu yang berjumlah 46oerang karyawan, seluruh populasi  dijadikan responden (sensus). Penelitian ini memakai analisis data deskriptif dengan pendekatan kuantitatif  yang memakai kuisioner sebagai alat pengumpul data dan  memakai analisi regresi linar berganda. Hasil pnelitian ini  mengatakanbahwa  kompensasi &disiplin kerja berpengaruh positif & signifikan terhadap kierja karywan pada  PT.Hadji Kalla Cabang Palu.

scholarly journals Analisis Produktivitas dan Efisiensi Hutan Tanaman Industri dalam Produksi Kayu Bulat di Indonesia

2020 ◽  
Vol 4 (2) ◽  
pp. 81-89
Author(s):  
Ahmad Yani
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Cultivated Land ◽  
Land Area ◽  
Forestry Industry ◽  
Main Factors ◽  
Production Labor

Abstrak: Produktivitas dan efisiensi merupakan masalah penting dalam sebuah kegiatan usaha, begitu juga dalam kegiatan industri kehutanan. Penelitian ini bertujuan untuk menganalisis tingkat produktivitas kegiatan hutan tanaman industri dalam memproduksi kayu bulat di Indonesia dalam kaitannya dengan dua faktor utama yaitu luas lahan budidaya dan tenaga kerja lapangan. Kajian ini dilakukan dengan pendekatan kuantitatif dengan metode analisis regresi linear berganda. Hasil analisis regresi linier berganda memperlihatkan adanya hubungan linier antara variabel luas lahan budidaya, variabel tenaga kerja lapangan dengan variable produksi. Temuan lain produktivitas hutan tanaman industri dalam menghasilkan kayu bulat semakin meningkat dan efisien. Variabel luas lahan budidaya merupakan faktor yang berpengaruh positif dan signifikan pada produksi kayu bulat, naiknya luas lahan akan menaikkan produksi kayu bulat. Tenaga kerja juga berpengaruh positif tetapi tidak signifikan pada produksi kayu bulat. Rasio produksi kayu bulat terhadap tenaga kerja menunjukkan efisiensi pemakaian tenaga kerja. Dengan tenaga kerja yang sedikit menghasilkan produksi yang lebih banyak.   Kata kunci: industri kehutanan, luas lahan budidaya kehutanan.   Abstract: Productivity and efficiency are important issues in a business activity, as well as in the activities of the forestry industry. This study aims to analyze the level of productivity of industrial plantations in producing logs in Indonesia in relation to two main factors, namely the area of ​​cultivated land and field labor. This study was conducted with a quantitative approach with multiple linear regression analysis methods. The results of multiple linear regression analysis showed a linear relationship between the variable area of ​​cultivated land, the variable of field labor with the variable of production. Another finding is the productivity of industrial plantations in producing logs and increasing and efficient. The variable area of ​​cultivated land is a factor that has a positive and significant effect on log production, increasing the area of ​​land will increase log production. Labor also has a positive but not significant effect on log production. The ratio of log production to labor shows the efficient use of labor. With less labor, more production  Keywords: field labor, forestry cultivation land area.

scholarly journals PENGARUH MOTIVASI DAN PELATIHAN TERHADAP KINERJA PARA PELAKU UMKM BINAAN LAZISMU PEKANBARU

2018 ◽  
Vol 4 (1) ◽  
pp. 17-22
Author(s):  
NURUL SUKRIANI
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Entire Population ◽  
Training Performance ◽  
Analysis Technique ◽  
Questionnaire Method ◽  
And Training

This study aims to analyze performance of participants UMKM which was built by Lazismu Pekanbaru, by using motivation and training variables, to analyze its effect on the performance of the participants. The population in this study are all participants of UMKM which amounted to 38 people, and the sample involves the entire population, using the census method. Data collected by questionnaire method is by giving questionnaire directly to the respondents.Data analysis technique used is multiple linear regression analysis which operated through program SPSS 16 for Windows. The results showed that both simultaneously and partially motivation and training variables significantly influence the performance of the participants UMKM built by Lazismu Pekanbaru. Keywords: Motivation, Training, Performance 

scholarly journals PENGARUH LUAS LAHAN, PRODUKSI, HARGA KAKAO INTERNASIONAL TERHADAP EKSPOR KAKAO INDONESIA

2019 ◽  
Vol 2 (1) ◽  
pp. 48
Author(s):  
Suci Indah Hakiki ◽  
Asnawi Asnawi
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Test Results ◽  
Land Area ◽  
Short Term ◽  
Long Run

This study aims to examine the effect of land area, production, international cocoa prices on Indonesian cocoa exports. The data used is the time series data for the period 1991-2017. This study uses two methods of analysis multiple linear regression analysis, the second is the Auto Regressive Distributed Lagged (ARDL). The test results using multiple linear regression analysis showed that as together of land area, production, international cocoa prices effected on Indonesian cocoa exports. Partially large areas, production and prices of international cocoa each have a positive and significant effect on Indonesian cocoa exports. The test results using ARDL indicated a cointegration positive and not significant long-run and short-term. Production and prices of international cocoa in long run and short term each influenced positively and significantly.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

scholarly journals The Association of Circulating MiR-29b and Interleukin-6 with Subclinical Atherosclerosis

2017 ◽  
Vol 44 (4) ◽  
pp. 1537-1544 ◽  
Author(s):  
Yu-qing Huang ◽  
Jie Li ◽  
Ji-yan Chen ◽  
Ying-ling Zhou ◽  
An-ping Cai ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Interleukin 6 ◽  
Subclinical Atherosclerosis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Control Group ◽  
Study Group ◽  
Circulating Levels

Background/Aims: Although it is widely acknowledged that atherosclerosis is mainly a chronic inflammatory process, in which both miR-29b and interleukin-6 (IL-6) play multifaceted roles, the association between miR-29b and IL-6 remains unknown. The aim of the present study was to explore the relationship between miR-29b and IL-6 and to test whether circulating levels of miR-29b and IL-6 could predict atherosclerosis. Methods: A total of 170 participants were divided into two groups according to carotid intima-media thickness (CIMT): study group (CIMT ≥ 0.9mm) and control group (CIMT < 0.9mm). Levels of circulating miR-29b and IL-6 were measured by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA), respectively. The association of miR-29b and IL-6 levels with CIMT was assessed using Spearman correlation analysis and multiple linear regression analysis. Results: The study group showed higher miR-29b levels (31.61 ± 3.05 vs. 27.91 ± 1.71 Ct, p < 0.001) and IL-6 levels (3.40 ± 0.67 vs. 2.99 ± 0.37 pg/ml, p < 0.001), compared with the control group. CIMT was positively correlated with miR-29b (r = 0.587, p < 0.001) and IL-6 (r = 0.410, p < 0.001), and miR-29b levels were also correlated with IL-6 (r = 0.242, p = 0.001). Multiple linear regression analysis also showed that CIMT was positively correlated with miR-29b and IL-6. After adjustment for age, body mass index, systolic blood pressure, total cholesterol and C-reactive protein, CIMT was still closely correlated with miR-29b and IL-6. The combination of miR-29b and IL-6 (AUC = 0.901, p < 0.001) offered a better predictive index for atherosclerosis than either miR-29b (AUC = 0.867, p < 0.001) or IL-6 (AUC = 0.747, p < 0.001) alone. Conclusion: Circulating levels of miR-29b and IL-6 may be independently correlated with subclinical atherosclerosis, and may serve as novel biomarkers for the identification of atherosclerosis.

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