scholarly journals Performance of farming extension field during the COVID-19 pandemic in East Java

2021 ◽  
Vol 892 (1) ◽  
pp. 012030
Author(s):  
A Purwidyaningrum ◽  
M Rondhi ◽  
T D Hapsari
Keyword(s):  
Linear Regression ◽  
Linear Regression Model ◽  
Random Sampling ◽  
Descriptive Analysis ◽  
Multiple Linear Regression Model ◽  
Extension Field ◽  
Work Training ◽  
Good Environment ◽  
Cluster Random Sampling

Abstract The success of farming extension activities cannot be separated from the role of farming extension workers. In this pandemic, farming extension counseling must be continue to make good environment. Social and physical distancing can make limited access for farming extension workers in carry out their roles. The purpose of this study was to analyze the performance of farming extension field and the influenced factors of perfomance farming extension field during the pandemic in East Java. This research is located in East Java province, it was conducted from March 2020 to 2021. The sampling was carried out by cluster random sampling and it got 360 respondents. The data collected by using statistical descriptive analysis which is used a scale and multiple linear regression model. The result of this research during the pandemic was going well. Meanwhile, the was the factors that influence in performance of farming extension (age, work training, topography and availability of infrastructure) but distance, farmer group, and education did not have impact on it.

scholarly journals Pengaruh pendapatan, kepercayaan dan religiusitas terhadap minat untuk membayar zakat penghasilan

2021 ◽  
Vol 1 (1) ◽  
pp. 12-24
Author(s):  
Sumadi Sumadi ◽  
Dini Priliastuti
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Sampling Technique ◽  
Quantitative Approach ◽  
Research Model ◽  
Probability Sampling

This study aims to determine the effect of income, belief, and religiosity on the interest in paying zakat income (study of residents of Makamhaji Kartasura). This study uses a quantitative approach to the population of Makamhaji Kartasura Village residents. The sampling technique uses probability sampling to analyze the data using a multiple linear regression model. The results showed that income had no significant effect on the interest in paying zakat income. In contrast, trust and religiosity have a significant effect on the interest in paying zakat income. Meanwhile, simultaneous income, belief, and religiosity have influenced the residents of Makamhaji Kartasura Village to pay zakat income. This research model contributes to explaining the role of trust and religiosity on increasing zakat income.

scholarly journals Influence of social media advertising, e-marketing and product quality on the process of purchasing nature cosmetics

2019 ◽  
Vol 8 (5) ◽  
pp. 316-321
Author(s):  
Syawaluddin Syawaluddin ◽  
Joni Joni ◽  
Erwin Erwin
Keyword(s):  
Social Media ◽  
Linear Regression ◽  
Product Quality ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Coefficient Of Determination ◽  
Environment Friendly ◽  
Social Media Advertising ◽  
North Sumatra

This study seeks to investigate the role of Social Media Advertising, E-Marketing, and Product Quality on Consumers’ Decision to Purchase Nature Cosmetics in North Sumatra-Indonesia partially and simultaneously. The data were analyzed using multiple Linear Regression model and coefficient of Determination. This research leads to the results that variables of Social Media Advertising, E-Marketing, and Product Quality simultaneously have a positive and significant impact on consumers’ decision in making purchases of Nature Cosmetics in North Sumatra-Indonesia and partially the variable of product quality is more dominant in consumers’ decision in purchasing Environment-friendly Cosmetics in North Sumatra-Indonesia. The coefficient of determination (R Square) shows that the variable of Social Media Advertising, E-Marketing, Product Quality is 0,593 or 59.3% while the remaining 40,7% is affected by other factors beyond the scope of this study.

scholarly journals Peranan Penyuluh Swadaya dalam Mendukung Intensifikasi Kakao di Kabupaten Sigi Provinsi Sulawesi Tengah

2015 ◽  
Vol 11 (2) ◽  
Author(s):  
Riana Riana ◽  
Ninuk Purnaningsih ◽  
Arif Satria
Keyword(s):  
Random Sampling ◽  
Descriptive Analysis ◽  
Survey Method ◽  
Extension Agents ◽  
Community Members ◽  
Self Help ◽  
Central Sulawesi ◽  
Cluster Random Sampling ◽  
Farmer’S Perception

<p>Self-support extension agents is the main actors who are successful in their business and other community members with his own conscience willing and able to become a counselor. The role of self support extension agents is needed to support the role of civil servants as an alternative that is deemed in accordance with UU No. 16 2006th. But there are still many people, including the main actors themselves who do not know the important role of the non-extension. The purpose of this study is to analyze the role of self-support extension agents in supporting intensification extension cocoa viewed from the aspect of agribusiness. This research is descriptive quantitative survey method with descriptive analysis approach and quantitative paradigm. Research carried out in the Sigi district of Central Sulawesi, which became one of the central largest cocoa producing. The sample in this study is a cocoa farmer extension built by self-help by using the method of proportional cluster random sampling as 96 people. Overall results of farmers' perceptions of the role of self-support extension agents was that extension workers has been instrumentalin supporting themselves-intensification cocoa butonly dominant in farming sector. This happened because the they just get extension related to the cultivation. Whereas if the extension self-given knowledge relating to the harvest and post-harvest and marketing, the role will become more important as supported also by extension the role of self-support extension agents in motivating and help the farmers in the problem solving.<br />Keywords: role, self-support extension agents, cocoa, farmer’s perception</p>

scholarly journals The Effects of Stressors on Academic Performance of International Students in Jiangsu University: The Moderating Role of Coping Strategies

2021 ◽  
Vol 9 (10) ◽  
pp. 1617-1632
Author(s):  
Michael Kobina Gyan
Keyword(s):  
Academic Performance ◽  
International Students ◽  
Linear Regression ◽  
Coping Strategies ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Male And Female ◽  
The University ◽  
Moderating Role

Abstract: This paper examined the effects of stressors on academic performance of international students in Jiangsu University: the moderating role of coping strategies. The sample comprised randomly selected 228 international students from the university across all levels; bachelor, masters and PhD. We used multiple linear regression model to estimate the findings. Among our empirical results are: (1) stressors have adversative effects on students’ academic performance. (2) Male and female international students differ with regard to the effects of stressors on their academic performance. (3) The effect of stressors on students’ academic performance differ among bachelor, masters and PhD international students. (4) International students employed different strategies of coping throughout their study duration in order to minimize their stress levels and to attain higher levels of academic performance. The study found that, Problem-focused strategies were positively related to international students’ academic performance on the premise of its ability to minimize stress. Based on the empirical findings, we profess appropriate recommendations to stakeholders for action. Keywords: Stressors, International Students Academic Performance, Coping Strategies

An Enhanced Multiple Linear Regression Model for Seasonal Rainfall Prediction

2020 ◽  
Vol 10 (4) ◽  
pp. 473-483
Author(s):  
Pundra Chandra Shaker Reddy ◽  
Alladi Sureshbabu
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Weather Prediction ◽  
Big Data Analytics ◽  
Multiple Linear Regression Model ◽  
Seasonal Rainfall ◽  
Climate Data ◽  
Rainfall Forecasting

Aims & Background: India is a country which has exemplary climate circumstances comprising of different seasons and topographical conditions like high temperatures, cold atmosphere, and drought, heavy rainfall seasonal wise. These utmost varieties in climate make us exact weather prediction is a challenging task. Majority people of the country depend on agriculture. Farmers require climate information to decide the planting. Weather prediction turns into an orientation in farming sector to deciding the start of the planting season and furthermore quality and amount of their harvesting. One of the variables are influencing agriculture is rainfall. Objectives & Methods: The main goal of this project is early and proper rainfall forecasting, that helpful to people who live in regions which are inclined natural calamities such as floods and it helps agriculturists for decision making in their crop and water management using big data analytics which produces high in terms of profit and production for farmers. In this project, we proposed an advanced automated framework called Enhanced Multiple Linear Regression Model (EMLRM) with MapReduce algorithm and Hadoop file system. We used climate data from IMD (Indian Metrological Department, Hyderabad) in 1901 to 2002 period. Results: Our experimental outcomes demonstrate that the proposed model forecasting the rainfall with better accuracy compared with other existing models. Conclusion: The results of the analysis will help the farmers to adopt effective modeling approach by anticipating long-term seasonal rainfall.

scholarly journals Magnetization Transfer Ratio of Peripheral Nerve and Skeletal Muscle

2021 ◽  
Author(s):  
Olivia Fösleitner ◽  
Véronique Schwehr ◽  
Tim Godel ◽  
Fabian Preisner ◽  
Philipp Bäumer ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Weight ◽  
Sciatic Nerve ◽  
Linear Regression ◽  
Peripheral Nerve ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Magnetization Transfer ◽  
Multiple Linear Regression Model

Abstract Purpose To assess the correlation of peripheral nerve and skeletal muscle magnetization transfer ratio (MTR) with demographic variables. Methods In this study 59 healthy adults evenly distributed across 6 decades (mean age 50.5 years ±17.1, 29 women) underwent magnetization transfer imaging and high-resolution T2-weighted imaging of the sciatic nerve at 3 T. Mean sciatic nerve MTR as well as MTR of biceps femoris and vastus lateralis muscles were calculated based on manual segmentation on six representative slices. Correlations of MTR with age, body height, body weight, and body mass index (BMI) were expressed by Pearson coefficients. Best predictors for nerve and muscle MTR were determined using a multiple linear regression model with forward variable selection and fivefold cross-validation. Results Sciatic nerve MTR showed significant negative correlations with age (r = −0.47, p < 0.001), BMI (r = −0.44, p < 0.001), and body weight (r = −0.36, p = 0.006) but not with body height (p = 0.55). The multiple linear regression model determined age and BMI as best predictors for nerve MTR (R2 = 0.40). The MTR values were different between nerve and muscle tissue (p < 0.0001), but similar between muscles. Muscle MTR was associated with BMI (r = −0.46, p < 0.001 and r = −0.40, p = 0.002) and body weight (r = −0.36, p = 0.005 and r = −0.28, p = 0.035). The BMI was selected as best predictor for mean muscle MTR in the multiple linear regression model (R2 = 0.26). Conclusion Peripheral nerve MTR decreases with higher age and BMI. Studies that assess peripheral nerve MTR should consider age and BMI effects. Skeletal muscle MTR is primarily associated with BMI but overall less dependent on demographic variables.

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