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

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.

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 The Effects of Speed and Flow Characteristics on Crash Rates for Wasit Multi-lane Highways in Iraq

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Amjad H. Albayati ◽  
Zahraa A. Ramadan
Keyword(s):  
Traffic Flow ◽  
Linear Regression Analysis ◽  
Flow Characteristics ◽  
Multiple Linear Regression Analysis ◽  
Strongly Correlated ◽  
Rural Highways ◽  
Traffic Crash ◽  
Crash Rates ◽  
Fatal Crash ◽  
Statistical Relationships

This study describes traffic crash rates in selected multilane rural highways in Wasit governorate in Iraq. The main objective of this research is to investigate relationships between total, fatal crash rates and their kinds and factors such as hourly traffic flow and average spot speed. The study is based on data collected from two sources: police stations and traffic surveys. Three highways are selected to cover the locations of the accidents. The selection includes Kut – Suwera with five segments, Kut – ShekhSaad with three segments, and Kut – Hay with two segments multilane divided highways. Multiple linear regression analysis is applied to the data by using SPSS software to attain the relationships between the dependent variables and the independent variables in order to identify elements that are strongly correlated with crashes rates and severity. Seven regression models are developed which verify weak and strong statistical relationships between crashes types and average spot speed with hourly traffic flow respectively. As the hourly traffic flow of automobile grows, the need for safe traffic facilities also grown.  

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 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.

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 FACTORS AFFECTING ENTREPRENEURIAL INTENTIONS AMONG COLLEGE STUDENT

2021 ◽  
Vol 5 (2) ◽  
pp. 79-86
Author(s):  
Trisna Sary Lewaru
Keyword(s):  
College Student ◽  
Locus Of Control ◽  
Self Efficacy ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Entrepreneurial Intention ◽  
Entrepreneurial Intentions ◽  
Need For Achievement ◽  
Factors Affecting ◽  
Independent Variables

ABSTRACT This study aims to analyze the factors that influence entrepreneurial intentions among college student. The five independent variables was used include need for achievement, locus of control, self-efficacy, instrumental readiness, entrepreneurship experience. Sample in this research is students on Pattimura University totaling 160 people. Multiple linear regression analysis was used to measure this study. The results of this study indicate that need for achievement, locus of control, entrepreneurship experience have no effect on the intentions of entrepreneurial among students. Whereas instrumental readiness and self-efficacy variable has positive and significant effect on entrepreneurial intention between students of Pattimura University. Keywords : Entrepreneurship, Intentions

scholarly journals Konversi Lahan Sawah di Kota Bogor dan Strategi Anggaran dalam Mengendalikannya

2017 ◽  
Vol 1 (2) ◽  
pp. 217
Author(s):  
Oni Hidayati ◽  
Hermanto Siregar ◽  
A. Faroby Falatehan
Keyword(s):  
Urban Areas ◽  
Agricultural Land ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Provincial Government ◽  
Wetland Area ◽  
Local Regulation ◽  
Factors Affecting ◽  
Land Banking ◽  
Wetland Conversion

Conversion of agricultural land in urban areas is most prevalent in wetlands, thus threatening food availability and loss of multifunctional land. In the last five years, the wetland area in Bogor City has dropped dramatically to 321 ha (BPS of Bogor City, 2016). Control of the rate of conversion of wetland in Bogor City is regulated by Local Regulation number 8 year 2011 concerning Bogor City Spatial Plan (RTRW Kota Bogor) 2011-2031. However, its implementation is less effective so that there is a need for economic instruments to support it. The purpose of this study is to describe the wetland conversion in Bogor City and budgetary strategies in order to control it. Spatial analysis with overlay method was used to and resulted in a land conversion pattern which was dominated by housing area of 1 137.33 ha (47.08%) and garden 254.28 ha (10.53%). The conversion pattern was used as the basis of multiple linear regression analysis of factors affecting wetland area in Bogor City during 2000-2015 which results were: production amount (significant at α 1%); building area (significant at α 5 %); realization of Bogor City Agricultural Service budget (not significant) with R2 value = 86.6%. Wetland conversion control was conducted through budget strategies which are analyzed with Analitycal Hierrachy Process (AHP) calculation, resulting as follows: (1) socialization budget; (2) budget for formulating local regulation; (3)budget sharing with the central/provincial government; (4) streamlining the role of the private; (5) budget supervision; (6)budget for (land banking); (7) incentives and disincentives for farmers.

scholarly journals RE-ENGINEERING PROSES PEMBELIAN BARANG AKTIVA DALAM MENCAPAI PEMBELANJAAN YANG OPTIMUM DALAM BISNIS MIDDLE MARKET

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Heri Mulyanto
Keyword(s):  
Process Improvement ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Engineering Process ◽  
Optimum Model ◽  
Questionnaire Surveys ◽  
The Right ◽  
Middle Market

This research is a case study of retail companies, namely PT. Midi Utama Indonesia Tbk / Alfamidi related ordinances in order to meet the four right purchase is the right price, time, quantity and quality and how to get the optimum model of purchasing goods. The research method in the form of descriptive analysis through questionnaire surveys and interviews with employees of the company that as many as 153 employees with a sample of 111 respondents. Data processed by Multiple Linear Regression Analysis which are of significant value is the standard total purchase the total purchase 0.061 and 0.000, and results of SWOT states need to do a strategy that focuses on process improvement purchases. The results that the process of re-engineering process involves the purchase of goods with the GA department to better ensure the availability of goods to be ordered, so the purchase is really controlled.

scholarly journals ANALYSIS OF FACTORS AFFECTING GENERAL SUPPLIERS TO SELL FFB WITH A AND B QUALITY TO PT. SANDABI INDAH LESTARI AND RISK ANALYSIS OF THE RESOURCES

2019 ◽  
Vol 2 (1) ◽  
pp. 1-12
Author(s):  
Ali Setia Iskandar ◽  
Yuwana Yuwana ◽  
Bambang Sumantri
Keyword(s):  
Regression Analysis ◽  
Risk Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Analytical Tool ◽  
Fresh Fruit ◽  
Factors Affecting ◽  
Long Period ◽  
Average Factor ◽  
Fresh Fruit Bunches

This study studies to analyze the factors that influence general suppliers to choose FFB (Fresh Fruit Bunches) on quality and quality B and calculate the business expenses to be received. This research was conducted in the period August - September 2018 at PT. Sandabi Indah Lestari (SIL). The analytical tool used in this study is multiple linear regression analysis and risk analysis. Based on the results of the analysis, the factors that influence general suppliers choose to sell FFB at quality A and quality B at PT. SIL is the average factor of the weight of FFB supplied, the weight of FFB sorted, the distance to the plant and transportation costs, while the factors that do not significantly affect the long period of receiving FFB at the plant then for the risks received are known that the risk of selling FFB quality A is greater because of loss while FFB that sells quality B is smaller because it avoids losses.Keyword: Suppliers, FFB (Fresh Fruit Bunches), quality A and B, risk

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