scholarly journals Faktor-faktor Determinan Kemandirian Wanita dalam Berwirausaha untuk Wilayah Banten

2019 ◽  
Vol 3 (2) ◽  
pp. 257-267
Author(s):  
Arif Surahman ◽  
Chandra Fitra Arifianto ◽  
Andriyani Hapsari
Keyword(s):  
Logistic Regression ◽  
Data Analysis ◽  
Influencing Factors ◽  
Women Entrepreneurs ◽  
Binary Logistic Regression ◽  
George Washington ◽  
Women Entrepreneurship ◽  
Level Of Education ◽  
Access To Technology ◽  
High Level

Abstrak Penelitian ini berupaya untuk mengukur kemandirian wirausahawan wanita dengan melihat kepada faktor-faktor yang mempengaruhinya, antara lain berupa: akses terhadap teknologi,  pengalaman pernah kerja, kepemilikan anak, jumlah modal awal, dan tingkat pendidikan yang tinggi. Sampel yang diambil sebanyak 193 wirausahawan wanita yang memiliki usaha di wilayah provinsi Banten, dimana peneliti memberikan quesioner yang dijawab oleh responden. Metode untuk analisis data yang digunakan ialah model regresi binary logistic. Hasil penelitian ini menunjukkan hasil yang sama dengan yang ditemukan oleh Chaganti (1986), Universitas George Washington dan Riza, Setianingsih dan Chandra (2016) yang menemukan bahwa pengalaman kerja pada tempat sebelumnya dapat meningkatkan peluang seorang wirausahawan wanita menjadi mandiri. Selain itu, akses teknologi sebagai bagian dari perekonomian digital juga ditemukan bisa mendorong peluang seorang wirausahawan wanita menjadi mandiri.  Abstract This research is trying to measure the independence of women entrepreneurship by looking at various influencing factors such as Access to technology, working experience, owning a child, the amount of first capital and high level of education. The sample that is being used for this research is 193 respondent who lives in Banten. Questionnaires are used as an instrument for this research. The method of data analysis that is being used in this research are Binary Logistic Regression. The results from this research have shown the same result from findings of Chaganti (1986), and Riza, Setianingsih and Chandra (2016) which concluded that working experience can increase the probability for an independent women entrepreneurs. Moreover, access to technology as a part of the digital economy also has been proven can motivate the odds of women entrepreneur to become independent.    

scholarly journals Women Entrepreneurs and Survival of Small Scale Enterprises in Nigeria

2019 ◽  
Vol 1 (1) ◽  
pp. 10-12
Author(s):  
Lawal Muhammad
Keyword(s):  
Women Entrepreneurs ◽  
Analysis Data ◽  
Small Scale ◽  
Income Generation ◽  
Women Entrepreneurship ◽  
Level Of Education ◽  
Adequate Funding ◽  
Nigerian Government ◽  
High Level ◽  
Entrepreneurial Activities

This research set out to analyze the women entrepreneurs and survival of small–scale enterprises in Nigeria. The objective of this paper is to determine the extent of women entrepreneurs and survival of SSEs in Nigeria. One Hundred and Twenty Eight (128) questionnaires were retrieved for analysis. Data collected were analyzed using multiple regressions. The results revealed that Women entrepreneurs experience and women entrepreneurs’ level of education have significant effect on the survival of small scale enterprises in Nigeria. The study therefore, concluded that an increase in training or improvement in the activities of women entrepreneurship will lead to a significant increase in the maintenance and sustainability of SSEs in Nigeria. This paper recommended that since, women entrepreneurs experience and high level of education led to the survival of SSEs in Nigeria therefore, the Nigerian government should provide an avenue for adequate funding, training on entrepreneurship, provision of infrastructural facilities and enabling environment in order to enhance the women entrepreneurial activities as this would translate to increase in an income generation, provision of employment and reduction of poverty in Nigeria.  Keywords: Entrepreneurship, Women Entrepreneurs, Small Scale Enterprises, Women Entrepreneurship and Survival.

scholarly journals PENGARUH KEBUTUHAN BERPRESTASI DAN KARAKTERISTIK PERSONAL TERHADAP KINERJA USAHA WIRAUSAHA WANITA (Survey pada Petani Tanaman Obat Keluarga (TOGA) di Kecamatan Jumantono Kabupaten Karanganyar)

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Setyaningsih SU ◽  
Edi Wibowo
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Women Entrepreneurs ◽  
Business Performance ◽  
Binary Logistic Regression ◽  
Personal Characteristics ◽  
Binary Logistic Regression Analysis ◽  
Entrepreneurship Training ◽  
Analysis Technique ◽  
Business Experience

This study aims to analyze the effect of the needs of achievement and personal characteristics (education, age, experience, training) on business performance. This research is census research, using 63 respondents of women entrepreneurs to Toga farmers in Jumantono District, Karanganyar Regency. Data analysis technique using binary logistic regression analysis. The conclusions from the results of this study indicate that the needs of achievement and personal characteristics of business experience have a significant effect on business performance, while the variables of education, age, and entrepreneurship training have no significant effect on business performance. Based on the results of this study, the odds/probabilities of the performance of women's entrepreneurial business in Toga farmers in Jumantono District, Karanganyar Regency can be predicted by the needs of achievement and business experience. The implication of this finding is that to achieve high business performance, Toga farmers in Jumantono District, Karanganyar Regency need to increase their needs for achievement and business experience.Keywords: needs of achievement, education, age, experience, training, business performance

Die Flexion der Indefinita jemand und niemand

2021 ◽  
Vol 49 (2) ◽  
pp. 209-243
Author(s):  
Linnéa Weitkamp
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Influencing Factors ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Corpus Study ◽  
Frequent Use ◽  
Current Variation ◽  
Reference Corpus

Abstract This article investigates the inflection of the German indefinite pronouns jemand and niemand in the accusative and dative. The pronouns are used both with inflectional suffix (jemanden/jemandem, niemanden/niemandem) and without (jemand, niemand) and are thus an example of current variation in contemporary German. The grammars take an unusually liberal stance and describe both forms as correct, partially even with preference to the uninflected form. A corpus study which examines conceptually written data of the DeReKo (German reference corpus) and conceptually oral data of the DECOW16B (German web corpus), shows that over 90 % of occurrences are inflected. But almost 10 % of uninflected forms show that these formations are no arbitrary errors either. To find out what influences the presence or absence of the inflectional ending, a binary logistic regression model was calculated. The following factors proved to be significant influencing factors for inflection: the degree of formality (DeReKo vs. DECOW16B), the lexeme (jemand vs. niemand), the case (acc vs. dat), government by preposition vs. government by verb and the following nominalized adjective (jemand anderen). With regard to the different inflectional suffixes, the frequent use of -en in the dative stood out in particular. Although this form is classified as erroneous in all grammars, almost 30 % of the dative occurrences in informal DECOW16B data are formed in this way.

scholarly journals ANALYSIS OF FARM CASSAVA PARTNERSHIP IN THE VILLAGE OF GREAT PUDDING BESAR DISTRICT OF BANGKA

2020 ◽  
Vol 2 (2) ◽  
pp. 91-104
Author(s):  
Yansah Yansah ◽  
Iwan Setiawan ◽  
Yudi Sapta Pranoto
Keyword(s):  
Logistic Regression ◽  
Data Analysis ◽  
Binary Logistic Regression ◽  
T Test ◽  
Survey Method ◽  
Real Difference ◽  
Average Income ◽  
The Difference ◽  
Quota Sampling ◽  
The Village

This study aims to describe the implementation of the partnership farming Cassava Village Pudding Besar District of pudding Big Bangka, analyze the differences in average income that is obtained by farmers from various partnership schemes cassava in the village Pudding Besar District of pudding Big Bangka, analyzed the factors - factors that influence farmers' decision in choosing partners and not partner with partnership cassava farm in the village of Great pudding pudding Large District of Bangka. This study was conducted in January 2019 until January 2020 in the village of Great Pudding Pudding Large District of Bangka. The method used is survey method. Penrikan method used example is a method of quota sampling with a sample of two groups of 40 people and the partnering farmers do not partner 40 people. Methods of data analysis using descriptive qualitative, quantitative analsisis (independent sample t-test, binary logistic regression). The results showed the implementation of partnership farming patterns occurring in the village of Great Pudding is a partnership with the name intiplasma KSR Program (Cassava People's Gardens). There is a real difference but not significant, the average income of Rp 32,384,718 partner farmers, while the non- partner farmers Rp 36,751,056 with the difference in the average income of farmers partner and non- partner Rp 4,366,388 per year. Factors that significantly affect farmers' decisions in partnering and partnering as age and availability of capital.

scholarly journals Revisiting Socio- economic impact of Villagization, In the Case Assosa Zone , Ethiopia

2021 ◽  
Vol 9 (1) ◽  
pp. 01-11
Author(s):  
Tadele Tesfaye Labiso
Keyword(s):  
Logistic Regression ◽  
Data Analysis ◽  
Qualitative Methods ◽  
Sample Size ◽  
Social Services ◽  
Research Method ◽  
Binary Logistic Regression ◽  
Survey Study ◽  
Exploratory Research ◽  
Socio Economic Impact

The overall objective of this study is to explore the  practice and challenges of villagization; in the selected woredas of the Assosa zone  Beninshangul Gumuz regional state. To achieve goals of the survey study mixed research method was employed. Generally. the Sample size of 168 sample households were determined by using S = X2NP(1-P) ÷ d2 (N-1) + X2P (1-P), The research employed exploratory research design on the challenges and implementation of the program, and it applied mainly qualitative methods. On the basis and types of data gathered and the instrument used, both quantitative and qualitative techniques of data analysis or binary logistic regression supported by SPSS was employed. The only good thing about this life was farming since people had fertile lands. But, when villagization was implemented the lives of the villagers improved because they started to have better access to social services. The study showed that villagization was implemented voluntarily and based on the consent of the local people. However, it is possible to conclude that villagization has significantly improved the lives of the villagers by bringing positive changes that did not exist before. people.

scholarly journals Determinan Keputusan Melakukan Migrasi Ulang-Alik

2018 ◽  
Vol 1 (3) ◽  
pp. 242-251
Author(s):  
Rifqi Nur Fahmy
Keyword(s):  
Logistic Regression ◽  
Marital Status ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Analysis Method ◽  
Binary Logistic Regression Model ◽  
Level Of Education ◽  
Independent Variables ◽  
Variable Level

The aim of this research is to analyze the influence of dependent variable of family dependent, education level, age, marital status, and distance partially to workforce’s decision to migrate from Surakarta to Karanganyar Regency. This research used binary logistic regression analysis method. The sample in this research is 100 respondents. The result of binary logistic regression model analysis in this research shows that from five independent variables, there are two variables that have significant effect on workforce’s decision to do the commuter migration that is dependent variable of family and marital status. While the variable level of education, age, and distance have no effect on workforce’s decisions to do the commuter migration. Tujuan dari penelitian ini adalah untuk menganalisis pengaruh variabel dependen dependen keluarga, tingkat pendidikan, usia, status perkawinan, dan jarak secara parsial terhadap keputusan tenaga kerja untuk bermigrasi dari Surakarta ke Kabupaten Karanganyar. Penelitian ini menggunakan metode analisis regresi logistik biner. Sampel dalam penelitian ini adalah 100 responden. Hasil analisis model regresi logistik biner dalam penelitian ini menunjukkan bahwa dari lima variabel independen, ada dua variabel yang berpengaruh signifikan terhadap keputusan angkatan kerja untuk melakukan migrasi komuter yang merupakan variabel dependen keluarga dan status perkawinan. Sedangkan tingkat variabel pendidikan, usia, dan jarak tidak berpengaruh pada keputusan tenaga kerja untuk melakukan migrasi komuter.  

scholarly journals The Value of Inflammatory Cell Count and Its Ratio in the Diagnosis of Prostate Cancer

2020 ◽  
Author(s):  
Wanli Duan ◽  
Boyu Xu ◽  
Qian Deng ◽  
Peng Tie ◽  
Yongyi Cheng ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cell Count ◽  
Influencing Factors ◽  
Logistic Regression Analysis ◽  
Inflammatory Cell ◽  
Univariate Analysis ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis

Abstract Background: Inflammatory cells play an important role in the occurrence and development of cancer. In recent years, the value of inflammatory cell count and its ratio in the diagnosis of prostate cancer has been controversial.Methods: A retrospective analysis of 475 patients with transrectal prostate puncture with TPSA>4 ng/ml in the Third Affiliated Hospital of Xi’an Jiaotong University. Univariate analysis, multivariate analysis and Receiver Operating Characteristics curve analysis were performed to analysis the factor of age, TPSA, FPSA, PV, NC, LC, PC, NLR, PLR in the diagnosis value of prostate cancer, and further analysis the value of inflammatory cell count and its ratio in different TPSA groups of prostate cancer (4 ng/ml <TPSA ≤ 10 ng/ml, 10 ng/ml ＜TPSA ≤ 20 ng/ml, TPSA ＞ 20 ng/ml). Results: The results of Univariate analysis in the overall data showed that Age, TPSA, PV, NC, PLC were influencing factors in the diagnosis of prostate cancer. The Area Under the Curve (AUC) of NC was 56.2% with a sensitivity of 72.2% and specificity of 41.5% in the cut -off point of 4.52 (p = 0.021). The PLC cut-off point of 205.5 gives 55.6% AUC with 67.2% sensitivity and 4.2% specificity. Multivariate binary logistic regression analysis results showed that Age, TPSA, PV, NC were independent influencing factors for the diagnosis of prostate cancer; In different TPSA group studies, it was found that NC, NLR, and PLR were valuable for the diagnosis of prostate cancer when TPSA>20 ng/ml，at the NC cut-off point of 4.52 with 67.3% AUC, 71.2% sensitivity and 62.5% specificity(p＜0.001), at the NLR cut-off point of 3.14 with 65.4% AUC, 67.2% sensitivity and 61.1% specificity (p＜0.001), and at the PLR cut-off point of 135.8 with 62.8% AUC , 57.6% sensitivity and 66.7% specificity (p＜0.001). Multivariate binary logistic regression analysis results showed that when TPSA>20 ng/ml, the higher Age, TPSA , Low PV and NC are independent risk factors affecting the diagnosis of prostate cancer. Conclusion: NC has promising value in predicting prostate cancer, especially when TPSA>20 ng/ml. A further prospective study in validating its diagnostic value was needed.

scholarly journals Preparedness of the Local Community in the Fight Against COVID-19 in Dodoma Urban, Tanzania

2020 ◽  
Vol 10 (3) ◽  
pp. 172
Author(s):  
Yusuph Lameck Mashala ◽  
Lazaro Alman Kisumbe ◽  
Manumbu Hezron Daudi
Keyword(s):  
Logistic Regression ◽  
International Organizations ◽  
Local Community ◽  
Virus Disease ◽  
Binary Logistic Regression ◽  
Corona Virus ◽  
The World ◽  
Severity Of The Disease ◽  
High Level

Since its outbreak in late December 2019, COVID-19 has brought a state of fear, panic, insecurity and a high level of uncertainty to the whole population of the world. Amid these uncertainties, governments and international organizations across the world, have adopted various measures against its spread; such measures have depended on the nature and severity of the disease and the suitable approach adopted by each particular country. This study assessed the preparedness of the local community in the fight against COVID-19 in Dodoma Urban, Tanzania. Data were collected through a questionnaire from 100 respondents who were coincidentally selected.  We analyzed data through descriptive statics and Binary Logistic Regression. The overall results show that the majority of respondents (53.68%) were well prepared to curb COVID-19. Nevertheless about 46% of the respondents were inadequately prepared. In order to curb the spread of the disease in Dodoma urban, the study recommend that the local community should consistently adhere to government directives, keep informed of the situation, and respond appropriately to protect themselves, their families, and others against the deadly corona virus disease.

scholarly journals Predictive Value of Matrix Metalloprotease 9 On Surgical Outcomes After Pericardiectomy

2021 ◽  
Author(s):  
Likui Fang ◽  
Wenfeng Yu ◽  
Guocan Yu ◽  
Bo Ye ◽  
Gang Chen
Keyword(s):  
Gene Expression ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Postoperative Complications ◽  
Binary Logistic Regression ◽  
Postoperative Outcomes ◽  
Binary Logistic Regression Analysis ◽  
Optimal Cutoff ◽  
Cutoff Value ◽  
High Level

Abstract Background The effects of matrix metalloproteases (MMPs) and tissue inhibitors of metalloproteinases (TIMPs) expressions on the patients with constrictive pericarditis undergoing pericardiectomy remain unclear. This study explored the associations of MMPs and TIMPs expressions with postoperative outcomes in these patients. Methods Pericardial specimens were obtained during pericardiectomy from the patients with constrictive pericarditis. The levels of MMP1, MMP2, MMP9 and TIMP1 in pericardium were analyzed by quantitative real-time polymerase chain reaction. The enrolled patients were divided into two groups according to the optimal cutoff value of gene expression predicting postoperative complications. Postoperative outcomes were compared between the two groups. Binary logistic regression analysis was performed to determine the degree of contribution of gene expression on postoperative outcomes. Results A total of 22 patients and their pericardial specimens were included. The level of MMP9 was significantly associated with postoperative complications and the optimal cutoff value predicting postoperative complications was 3.67. The patients with low level of MMP9 (< 3.67) had lower incidence of postoperative complications (P = 0.002), shorter postoperative intensive care unit (P = 0.040) and hospital stay (P = 0.043) in comparison to those with high level of MMP9 (≥ 3.67). Binary logistic regression analysis showed that high level of MMP9 increased risk of postoperative complications (OR, 27.096, 95%CI 1.166-629.886, P = 0.040). Conclusions High level of MMP9 in the pericardium was associated with poor postoperative outcomes and was the independent risk factor of postoperative complications. The level of MMP9 could be used as a potential marker for prediction of surgical outcomes.

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