scholarly journals Bootstrap Logistic Regression on Determining Factors Affecting the Level of Entrepreneurial Capability

2019 ◽  
Vol 5 (1) ◽  
pp. 10-18
Author(s):  
Muhammad Ridho ◽  
Dodi Devianto
Keyword(s):  
Logistic Regression ◽  
Rural Area ◽  
Ordinal Scale ◽  
Predictor Variables ◽  
Response Variable ◽  
Factors Affecting ◽  
Bootstrap Estimation ◽  
Social Motive ◽  
Determining Factors ◽  
West Sumatra

The purpose of this study is to determine the factors that affect the level of entrepreneurial capability in tourism of rural area in Nagari Salayo of West Sumatra. The level of entrepreneurial capability is the response variable in this study with an ordinal scale consisting of four categories, they are lower, middle, high, or very high. Whereas the predictor variables consist of 4 socio-demographic factor variables, they are gender, education level, age group and occupation, and also 5 entrepreneurial motivation variables. To determine the predictor variables that are significantly affecting response variables, an ordinal logistic regression with a bootstrap estimation is executed. The study’s result shows two predictor variables that affect the response variable significantly, they are the entrepreneurial motive and social motive with the hit ratio of 61,667%. With that result, the model formed by bootstrapping logistic regression is able to determine the level of entrepreneurial capability in tourism of the rural area.

scholarly journals The Factors Affecting Eye Patients (Cataract) In Jordan by Using the Logistic Regression Model

2017 ◽  
Vol 11 (8) ◽  
pp. 38
Author(s):  
Adeeb Ahmed Ali AL Rahamneh ◽  
Omar M. Hawamdeh
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Likelihood Ratio Test ◽  
Logistic Regression Model ◽  
Ratio Test ◽  
Response Variable ◽  
Factors Affecting ◽  
Independent Variables ◽  
Lemeshow Test ◽  
The Right

This study aims to use the logistic regression model to classify patients as infected and without cataracts. The independent variables were used to represent the gender, the age, the pressure in the right eye, the pressure in the left eye, HbA1C, and the anemia, representative variables for the study of Cataract disease affects the eyes, based on a random sample of (116) patients. The results proved that the used logistic regression model is an efficient and representative for data that shows through (Likelihood Ratio Test) and (Hosmer and Lemeshow test), and the study proved that the value of (R Square Nagelkerke=1) this means that 100% of the change in the occurred changes in the response variable explained through the Logistic regression model.

scholarly journals Determining Factors of Community Participation in Waste Bank

2021 ◽  
Vol 940 (1) ◽  
pp. 012085
Author(s):  
C Meidiana ◽  
T Sekito ◽  
W Sasongko
Keyword(s):  
Sustainable Development ◽  
Logistic Regression ◽  
Community Participation ◽  
Community Involvement ◽  
Waste Reduction ◽  
Factors Affecting ◽  
Determining Factors ◽  
Waste Bank ◽  
Waste Separation ◽  
Significant Factors

Abstract The study aims to analyze the factors affecting community involvement in the waste separation and reduction through waste bank for low participation through benefits offered to its member. Logistic regression was used for the analysis, and there were 26 dependents variables applied to the analysis. The result showed that six variables, i.e., age, occupation, participation in social activities, knowledge of sustainable development, distance from HH to WB, and availability of dissemination of 3R, affect people’s motivation to be member and actively involved in waste reduction through the waste bank. All variables except distance are proportional to the motivation of the community to participate in waste bank. The attained model is used to calculate the probability of community participation in waste banks afterward. Using different conditions, where variables are set with values of zero and one representing absence and availability of related variables, respectively various probability values come out ranging from 0% to 94.8% which is the highest probability value if all significant factors are available.

scholarly journals Prevalence and factors affecting the utilization of antenatal care in rural areas of Southwestern Ethiopia

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Assaye Belay ◽  
Tessema Astatkie ◽  
Solomon Abebaw ◽  
Bekele Gebreamanule ◽  
Wegayehu Enbeyle
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Regression Model ◽  
Rural Area ◽  
Rural Areas ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Southwestern Ethiopia

Abstract Background Antenatal care (ANC) is a health care intervention intended to ensure the safety of pregnancy. According to the World Health Organization, at least four ANC visits are recommended for a healthy pregnancy. However, whether this recommended number of visits was followed or not in the rural areas of Southwestern Ethiopia is not known. Therefore, the study aimed to investigate the prevalence of, and the associated factors of ANC utilization by pregnant women in the rural areas of Southwestern Ethiopia. Methods A community-based cross-sectional study design was used in three rural zones. The data were collected from n = 978 women through a structured questionnaire with face-to-face interview. The collected data were analyzed using descriptive statistics and a multiple binary logistic regression model. Results The results showed that 56% of women made the recommended minimum number of ANC visits and the remaining 44% of them underutilized the ANC service. The multiple binary logistic regression model identified zone, marital status of the woman, educational level of the husband, occupation of the husband, knowledge of danger signs of pregnancy, birth interval, source of information, timely visits, and transportation problem to be statistically significant factors affecting the prevalence of ANC visit utilization of women. Bench Maji zone had smaller odds ratio of ANC visit prevalence as compared to Kaffa zone. Women who lived in the rural area of Sheko zone are 2.67 times less likely to utilize ANC visit than those who lived in the rural area of Kaffa zone keeping other variables constant. Conclusion The study results highlight the need to increase the number of ANC visits, and the importance of using an appropriate model to determine the important socio-demographic factors that ANC service providers shall focus on to improve the health of the unborn baby and the mother during pregnancy.

scholarly journals PENERAPAN REGRESI LOGISTIK DALAM PENENTUAN FAKTOR YANG MEMPENGARUHI JUMLAH WISATAWAN ECOTOURISM DESA BEDONO

2020 ◽  
Vol 5 (1) ◽  
pp. 11-22
Author(s):  
Wilis Ari Setyati ◽  
Sunaryo Sunaryo ◽  
Arya Rezagama ◽  
Abel Kristanto Widodo ◽  
M Faisal Alfa Yulianto
Keyword(s):  
Logistic Regression ◽  
Data Collection ◽  
Factors Affecting ◽  
Factors Influencing ◽  
The People ◽  
Determining Factors ◽  
Spss Software ◽  
To Come ◽  
The Village ◽  
Additional Income

Kegiatan pariwisata merupakan salah satu sektor vital yang dapat diandalkan oleh masyarakat suatu desa untuk memperoleh pendapatan tambahan. Desa Bedono merupakan salah satu desa pesisir yang terletak di Kecamatan Sayung, Kabupaten Demak. Sebagai salah satu desa pesisir, Desa Bedono mengalami tekanan dari aktivitas di darat maupun di lautan. Dampak yang paling terlihat adalah rusaknya infrastruktur akibat banjir rob. Hal ini tentu menghambat wisatawan yang ingin datang berkunjung ke Desa Bedono. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono. Pengumpulan data dilakukan dengan kuesioner berisi pertanyaan tertutup dengan jumlah responden sebanyak 100. Pengolahan data menggunakan regresi logistic dengan bantuan software SPSS. Hasil penelitian ini menunjukkan bahwa faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono ada tiga, yaitu: respon warga desa terhadap banjir rob (X1), prioritas masalah lingkungan (X3) dan jenis wisata yang ditawarkan (X11) dilihat dari nilai significance yang berada di bawah 1% dan 5%. Setelah mengetahui faktor-faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono, diharapkan warga dapat memaksimalkan potensi sehingga dapat meningkatkan jumlah wisatawan.APPLICATION OF LOGISTIC REGRESSION IN DETERMINING FACTORS AFFECTING THE NUMBER OF ECOTOURISM ASSESSMENT IN BEDONO VILLAGE. Tourism activities are one of the vital sectors that can be relied upon by the people of a village to obtain additional income. Bedono Village is a coastal village located in Sayung Subdistrict, Demak Regency. As one of the coastal villages, Desa Bedono experiences pressure from activities on land and in the ocean. The most noticeable impact is damage to infrastructure due to tidal flooding. This certainly inhibits tourists who want to come to visit Bedono Village. This study aims to determine the factors that influence tourists to come to the village of Bedono. Data collection was carried out with a questionnaire containing closed questions with 100 respondents. Data processing used logistic regression with the help of SPSS software. The results of this study indicate that there are three factors influencing tourists to come to Bedono Village, namely: villagers' responses to tidal floods (X1), priority environmental problems (X3) and types of tours offered (X11) seen from the significance value at under 1% and 5%. After knowing the factors that influence tourists to come to Bedono Village, it is hoped that residents can maximize their potential so that they can increase the number of tourists.

scholarly journals Pola Bagi Hasil Usaha Garam Rakyat di Kabupaten Pamekasan, Jawa Timur

2017 ◽  
Vol 4 (1) ◽  
pp. 1 ◽  
Author(s):  
Campina Illa Prihantini ◽  
Yusman Syaukat ◽  
Anna Fariyanti
Keyword(s):  
Logistic Regression ◽  
Rural Area ◽  
Agricultural System ◽  
Factors Affecting ◽  
Salt Production ◽  
Significant Difference ◽  
The Mean ◽  
The Government

Sharecropping system is wellknown as a disincentive agricultural system (Marshall 1920). It has been a culture that is very difficult to be deleted in rural area. Almost 70,5% of salt production business in Pamekasan regency applied this system, although it does not give more adventages to the sharecroppers. This study aimed to analyze the sharecropping system in salt production by estimating the profit taken by landlords and sharecroppers. Beside that, this study aimed to identify the factors affecting sharecropper’s decission by using binery logistic regression. The results showed that the landlords and the sharecroppers have a significant difference in the mean of their profit. This result is significant for α=5%. Sharecropper’s decission is affected significantly by the last education of sharecropper, number of sharecropper’s family, and cost of fund. This study recommended the government, landlords, sharecroppers, middleman, and the stakeholder to cooparate and make a forum that can give a better welfare to the sharecroppers.

scholarly journals PENERAPAN REGRESI LOGISTIK ORDINAL UNTUK MENGANALISIS TINGKAT KEPARAHAN KORBAN KECELAKAAN LALU LINTAS KABUPATEN BULELENG

2015 ◽  
Vol 4 (2) ◽  
pp. 54
Author(s):  
DEWA AYU MADE DWI YANTI PURNAMI ◽  
I KOMANG GDE SUKARSA ◽  
G. K. GANDHIADI
Keyword(s):  
Logistic Regression ◽  
Statistical Method ◽  
Traffic Accident ◽  
Ordinal Logistic Regression ◽  
Ordinal Scale ◽  
Predictor Variables ◽  
The Status ◽  
Minor Injuries ◽  
Serious Injuries

Ordinal logistic regression is a statistical method for analyzing the respone variables that have an ordinal scale consisting of three or more categories. This method is an extension of logistic regression with a binary respone variable. In this study the cases studies was the severity of traffic accident victims in Buleleng. The severity of the victims were divided into three categories: minor injuries, serious injuries and died. This research also used six predictor variables, namely age, hours of accident, education, gender, the status of location, and the venicles involved. Result of study shows that the variables age, hours of accident, education and the status of location have a significan effect on the severity of traffic accident victims.

scholarly journals Factors Affecting on Early Marriage of Women in Rural Areas, Bangladesh

2017 ◽  
Vol 4 (1) ◽  
pp. 17-26
Author(s):  
Israth Sultana ◽  
Mohammad Emdad Hossain ◽  
Mohammad Nazmul Hoq
Keyword(s):  
Logistic Regression ◽  
Population Growth ◽  
Rural Area ◽  
Rural Areas ◽  
Economic Status ◽  
Early Marriage ◽  
Factors Affecting ◽  
First Marriage ◽  
Age At First Marriage ◽  
Cross Tabulation

Bangladesh is one of the most densely populated countries in the world where population growth rate is 1.6 percent (Wikipedia). Early marriage is one of the important factors of population growth. This paper uses data from Bangladesh Demographic and Health Survey 2011 to examine different socio-economic and demographic factors that are correlated to age at first marriage of women in the rural area. Bivariate and multivariate logistic regression analyzes have been used to estimate the factors effect on age at first marriage. The results show that respondent’s education, husband’s education, husband’s occupation, religion, region and socio-economic status have a significant effect on age at first marriage of women in the rural area by both Cross-tabulation and Logistic regression analyzes. Moreover, access to mass media has found a significant association with age at first marriage in the rural area by Cross-tabulation analysis.  

Sign in / Sign up

Export Citation Format

Share Document