scholarly journals Pengaruh Program Pengembangan Usaha Agribisnis Perdesaan (PUAP) terhadap Produksi dan Pendapatan Petani Padi (Studi Kasus : Gapoktan Belega Mandiri di Desa Belega, Kecamatan Blahbatuh, Kabupaten Gianyar)

2018 ◽  
pp. 296
Author(s):  
NI PUTU RISKIANA ULANDARI ◽  
MADE ANTARA ◽  
A.A. AYU WULANDIRA SAWITRI DJELANTIK
Keyword(s):  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Rice Production ◽  
Farm Workers ◽  
Test Results ◽  
Factors Affecting ◽  
Rice Farmers ◽  
Natural Logarithm ◽  
C Value

The Effect of Pengembangan Usaha Agribisnis Perdesaan (PUAP) Program on the Rice Farmers' Production and Income (Case Study: Gapoktan of Belega Mandiri in Belega Village, Blahbatuh Sub-District, Gianyar Regency) Pengembangan Usaha Agribisnis Perdesaan (PUAP) Program is a form of facilitation of business capital assistance for member farmers, either farmers, peasants, farm workers and farm households coordinated by the Gabungan Kelompok Tani (Gapoktan). This research was conducted to investigate the effect of PUAP program on the production and income of rice farmers in the Joint Farmer Group of Belega Mandiri. The analytical method used to investigate the effect of PUAP on production was multiple linear regression analysis with Cobb-Douglas production function model in the form of natural logarithm, while to analyze the effect of PUAP on income was done by comparative analysis on cost, revenue, income, and total of R/C. The findings showed that PUAP has a significant effect on rice production in the Joint Farmer Group of Belega Mandiri. In addition to PUAP, factors affecting rice production include seeds and labors. The average cost, revenue, and income of PUAP users per hectare was higher than those of non-PUAP users. The t-test results showed that the average total of R/C value between the PUAP users and non-PUAP users was significantly different. This indicates that farming of PUAP users were more efficient than those of non-PUAP users.

scholarly journals Analysis of the Influence of Product Quality and Promotion of Consumer Decisions to Subscribe to Mnc Vision (Case Study at pt. Mnc Sky Vision Palembang)

2019 ◽  
Vol 3 (12) ◽  
pp. 14-18
Keyword(s):  
Regression Analysis ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Test Results ◽  
Quality Research ◽  
Consumer Decisions ◽  
Independent Variables ◽  
Study Population

This study aims to look at consumer decisions in subscribing to MNC Vision at PT. MNC Sky Vision Palembang with independent variables of quality research and promotion. The study population was 540 MNC Vision customers in Palembang in 2018. As for the sample, there were 100 customers at the MNC Vision Palembang. This study uses the research method of multiple linear regression analysis. Based on the test results it was found that there was a positive and significant influence on the quality and promotion of consumer decisions in influencing consumer decisions to subscribe to MNC Vision.

FACTORS AFFECTING ELECTRONIC MONEY (E-MONEY) SALES CASE STUDY IN BANKING ENTITIES IN INDONESIA

2019 ◽  
Vol 24 (3) ◽  
pp. 236-242
Author(s):  
B Sundari ◽  
Cicilia Erly Istia ◽  
Renita Helena
Keyword(s):  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Marketing Channels ◽  
Analysis Method ◽  
Electronic Money ◽  
Factors Affecting ◽  
Independent Variable ◽  
The Relationship

Electronic money instruments with non-cash transactions continue to increase positively from year to year. This is also due to the launch of the national non-cash or cashless movement which has been widely applied, especially in Indonesia. This study aims to find out what factors influence e-money sales, especially in banking entities in Indonesia. This study uses multiple linear regression analysis method using SPSS 22, which aims to examine the relationship or effect of the dependent variable with the independent variable. The results of the study have found that in the partial sale of electronic money is only influenced by e-money marketing channels / partnerships. While ease of transaction, ease of top up, and type of design do not have an impact on e-money sales. Meanwhile, simultaneously, these factors have an impact on E-Money sales.

Factors Affecting Traffic Accidents Density on Selected Multilane Rural Highways

2021 ◽  
Vol 7 (7) ◽  
pp. 1183-1202
Author(s):  
Amjad H. Al-Bayati ◽  
Ahmad S. Shakoree ◽  
Zahraa A. Ramadan
Keyword(s):  
Traffic Flow ◽  
Traffic Accidents ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Maximum Speed ◽  
Rural Highways ◽  
Factors Affecting ◽  
Driving Speed ◽  
Wide Range

Estimations of average crash density as a function of traffic elements and characteristics can be used for making good decisions relating to planning, designing, operating, and maintaining roadway networks. This study describes the relationships between total, collision, turnover, and runover accident densities with factors such as hourly traffic flow and average spot speed on multilane rural highways in Iraq. The study is based on data collected from two sources: police stations and traffic surveys. Three highways are selected in Wassit governorate as a case study to cover the studied locations of the accidents. Three highways are selected in Wassit governorate as a case study to cover the studied locations of the accidents. The selection includes Kut–Suwera, Kut–ShekhSaad, and Kut–Hay multilane divided highways located in the south of Iraq. The preliminary presentation of the studied highways was performed using Geographic Information System (GIS) software. Data collection was done to obtain crash numbers and types over five years with their locations, hourly traffic flow, and average spot speed and define roadway segments lengths of crash locations. The cumulative speed distribution curves introduce that the spot speed spectrum for each highway's whole traffic extends over a relatively wide range, indicating a maximum speed of 180 kph and a minimum speed of 30 kph. Multiple linear regression analysis is applied to the data using SPSS software to attain the relationships between the dependent variables and the independent variables to identify elements strongly correlated with crash densities. Four regression models are developed which verify good and strong statistical relationships between crash densities with the studied factors. The results show that traffic volume and driving speed have a significant impact on the crash densities. It means that there is a positive correlation between the single factors and crash occurrence. The higher volumes and the faster the driving speed, the more likely it is to crash. As the hourly traffic flow of automobile grows, the need for safe traffic facilities also extended. Doi: 10.28991/cej-2021-03091719 Full Text: PDF

scholarly journals KETERKAITAN DAN DAMPAK KARAKTERISTIK SOSIAL PETANI TERHADAP PRODUKSI PADI DI KABUPATEN ACEH UTARA

2017 ◽  
Vol 2 (1) ◽  
pp. 36
Author(s):  
Zuriani ,
Keyword(s):  
Regression Analysis ◽  
Cross Section ◽  
Linear Regression Analysis ◽  
Growing Season ◽  
Multiple Linear Regression Analysis ◽  
Rice Production ◽  
Social Characteristics ◽  
Rice Farmers ◽  
The Social ◽  
The Impact

This research is motivated by the farmers who are generally less educated and have a mindset that is difficult to be invited to change. The aim of the study was to analyze the impact of the social characteristics of farmers on rice production in North Aceh district. The data used is a cross section taken in February 2012 based on the growing season in 2011. The method used is multiple linear regression analysis. The results showed that social characteristics turns rice farmers consisting of age, education, number of dependents and simultaneously farming experience no significant effect on rice production in the district of Sawang. While partially, age and farming experience significant effect on the level of confidence of 10% of the rice production.

scholarly journals Analysis of Factors Affecting Fish Consumption Export (Case Study: FQS FPQSC Cirebon)

2020 ◽  
pp. 1-10
Author(s):  
Fitria Nurul Hasanah ◽  
Achmad Rizal ◽  
Dedi Supriadi ◽  
Asep Agus Handaka Suryana
Keyword(s):  
Fish Consumption ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Factors Affecting ◽  
Export Volume ◽  
Quantitative Descriptive ◽  
Export Destination

The aim of this study is to analyze the factors that have a significant effect on the export volume of fish consumption (Case study: FQS FPQSC Cirebon). The method used in this FPQSC Cirebon. This research was the case study method. This study was conducted in September 2019 until March 2020 which took place in FQS FPQSC Cirebon, PT. Timur Jaya Cemerlang and PD. Sambu. The research method used is quantitative descriptive method by sampling techniques, namely census sampling and purposive sampling methods. The type of data used is secondary data and primary data utilizing by means of multiple linear regression analysis by the classical assumption test and statistical test. The results of this study found that the most significant factors affecting the fish consumption exports in Cirebon was the number of export destination countries with a significant value of 0.024 when seen from the α value of less than 0.05. If there are many export destination countries, the export volume will tend to increase and if export destination countries decline, the export volume will also decrease and It is necessary to add other variables to support research of 0.024 or less than the α requirement of 5% (0.05) countries.

scholarly journals Factors Affecting Income of Pineapple Small Farmers: Case Study at Tangkit Baru Village, Jambi Province, Indonesia

2020 ◽  
Vol 7 (1) ◽  
pp. 303-308
Author(s):  
Boris Kaido
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Small Farmers ◽  
Field Scale ◽  
Land Rent ◽  
Factors Affecting ◽  
Interview Method

This study was conducted in Tangkit baru village, Jambi Province, Indonesia. The Study area was selected purposively based on this village which has produced the highest pineapple conducted by small farmers in Jambi Province. This study aims to determine the factors that affect the income of a small farmer pineapple in Tangkit baru village. The study aims were analyzed in descriptive methods and multiple linear regression analysis. The number of respondents was taken in the Slovin method, with 42 respondents. Data collection used the interview method with the questionnaire conducted directly in the study area. The data were analyzed quantitatively, the results study showed that all variables affected the farmer’s income, it was seen as a significance value of 0.000 < α 5%. Partially, the variables that affect the farmer’s income are field scale (X7) and labor factor (X6), while the variables that have no significant effect on pineapple small farmer’s income are the land rent (X4) and fertilizer (X1). 

scholarly journals KETERKAITAN DAN DAMPAK KARAKTERISTIK SOSIAL PETANI TERHADAP PRODUKSI PADI DI KABUPATEN ACEH UTARA

2017 ◽  
Vol 2 (1) ◽  
pp. 29
Author(s):  
Zuriani Zuriani
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Cross Section ◽  
Linear Regression Analysis ◽  
Growing Season ◽  
Multiple Linear Regression Analysis ◽  
Rice Production ◽  
Social Characteristics ◽  
Rice Farmers ◽  
The Social

This research is motivated by the farmers who are generally less educated and have amindset that is difficult to be invited to change. The aim of the study was to analyze theimpact of the social characteristics of farmers on rice production in North Aceh district.The data used is a cross section taken in February 2012 based on the growing season in2011. The method used is multiple linear regression analysis. The results showed thatsocial characteristics turns rice farmers consisting of age, education, number ofdependents and simultaneously farming experience no significant effect on riceproduction in the district of Sawang. While partially, age and farming experiencesignificant effect on the level of confidence of 10% of the rice production.

Determinan Yang Mempengaruhi Perilaku Pembelian Produk Hijau Di Daerah Istimewa Yogyakarta

2019 ◽  
Vol 6 (1) ◽  
pp. 52-68
Author(s):  
Muhammad Mathori ◽  
Uswatun Chasanah
Keyword(s):  
Willingness To Pay ◽  
Environmental Awareness ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Environmental Knowledge ◽  
Test Results ◽  
Purchasing Behavior ◽  
Perceived Effectiveness ◽  
Validity And Reliability ◽  
Green Purchasing

This study aims to identify the determinants that influence the attitudes of consumers of green purchases and the willingness to pay more on green products, specifically on energy-saving lighting products. The variables studied included environmental knowledge, environmental awareness and perceived effectiveness. The sample of this study was 196 students, but out of 196 respondents after the questionnaire was distributed only 189 could be processed. Validity and reliability test results show valid values of loading factors of more than 0.4 while for reliability testing using the cronbach’s alpha criteria above 0.5 indicates reliable. Through the multiple linear regression analysis, the variables of environmental knowledge, environmental awareness and effectiveness are felt to have a positive and significant effect on the attitude of buying and willingness to pay more. Green purchasing attitudes and willingness to pay more have a positive and significant effect on green purchasing behavior. Green purchasing attitudes have a greater influence on green purchasing behavior compared to willingness to pay more.

PENGARUH CITRA MEREK DAN KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN MOBIL MITSUBISHI PADA PT. KRAMA YUDHA MOTORS AND MANFACTURING

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Nuridin, SE., MM. ◽  
Dwi Ardika Prayudha
Keyword(s):  
Product Quality ◽  
Brand Image ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Purchase Decision ◽  
Test Results ◽  
Analysis Method ◽  
Validity And Reliability ◽  
Image Variables

This research is aimed to examine the influence of brand image and product quality to car purchase decision at PT. Mitsubishi Krama Yudha Motors and Manufacturing. Data analysis method was used, is quantitative analysis, by using validity and reliability test, coefficient of determination, and multiple linear regression analysis. Result of regression equation is: Y = 0,665 + 0,517 X1 + 0,416 X2 Simultaneously testing of brand image variables and product quality to purchase decision, shown by F count equal to 85,955 bigger than F table 3,159 or with sig. F 0.000 is smaller than alpha 0.005. Based on the test results simultaneously, can be seen that the independent variables (brand image and product quality) have a positive and significant impact on the car purchase decision at Mitsubishi cars At PT. Krama Yudha Motors and Manufacturing. Suggestions which can be given for future developments and determinations of policy are, companies should pay attention to brand image, product quality, to make customers more satisfied and keep using Mitsubishi cars as their choice.

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

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