scholarly journals DETERMINAN PENGANGGURAN LULUSAN PERGURUAN TINGGI DI INDONESIA TAHUN 2018

2020 ◽  
Vol 8 (1) ◽  
pp. 31-37
Author(s):  
Vina Astriani ◽  
Rani Nooraeni
Keyword(s):  
College Graduates ◽  
Tertiary Education ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Unemployed People ◽  
Employment Sector ◽  
Negative Effect ◽  
Positive Effect ◽  
Official Data ◽  
Binary Logit Regression

Abstrak Pengangguran merupakan salah satu permasalahan kompleks yang dihadapi oleh setiap negara berkembang di dunia, termasuk Indonesia. Berdasarkan data resmi Badan Pusat Statistik (BPS), jumlah pengangguran di Indonesia sejak tahun 2015 sampai dengan tahun 2018 tidak pernah bernilai lebih sedikit dari 7 juta orang, di mana jumlah Tingkat Pengangguran Terbuka (TPT) lulusan perguruan tinggi masih termasuk tinggi. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang memengaruhi pengangguran lulusan perguruan tinggi di Indonesia tahun 2018 dengan menggunakan analisis regresi logistik biner. Adapun determinan pengangguran lulusan perguruan tinggi adalah umur, status kawin dan status KRT berpengaruh signifikan dan negatif terhadap pengangguran lulusan perguruan tinggi. Sedangkan, jenis kelamin dan sektor pekerjaan berpengaruh signifikan dan positif terhadap pengangguran lulusan perguruan tinggi. Kata Kunci: Pengangguran, Lulusan perguruan tinggi, Regresi Logistik Biner.     Abstract Unemployment is one of the complex problems faced by every developing country in the world, including Indonesia. Based on official data from Statistics Indonesia (BPS), the number of unemployed people in Indonesia from 2015 to 2018 was never worth less than 7 million people, where the number of open unemployment rate (TPT) of college graduates is still high. This study aims to determine the factors that influence unemployment of tertiary education graduates in Indonesia in 2018 by using binary logistic regression analysis. The determinants of unemployment for college graduates are age, marital status and KRT status have a significant and negative effect on unemployment of college graduates. Meanwhile, gender and employment sector have a significant and positive effect on unemployment of college graduates. Keywords: Unemployment, College Graduates, Binary Logit Regression.      

scholarly journals Does Antenatal Care Translate into Skilled Birth Attendance? Analysis of 2014 Ghana Demographic and Health Survey

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Linus Baatiema ◽  
Edward Kwabena Ameyaw ◽  
Aliu Moomin ◽  
Mukaila Mumuni Zankawah ◽  
Doris Koramah
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Health Survey ◽  
Tertiary Education ◽  
Binary Logistic Regression ◽  
Skilled Birth Attendance ◽  
Demographic And Health Survey ◽  
Rural Setting ◽  
Binary Logistic Regression Analysis ◽  
Birth Attendance

Background. Despite the high antenatal care attendance rate in Ghana, skilled birth attendance is relatively low. There is limited evidence on whether antenatal care attendance translates into skilled birth attendance in the Ghanaian research discourse. This study investigates whether antenatal care attendance translates into skilled birth. Methods. We extracted data from the 2014 Ghana Demographic and Health Survey. Data were analysed using descriptive and binary logistic regression analyses at 5% confidence interval. Results. The descriptive findings indicated a vast variation between antenatal care attendance and skilled birth attendance. Skilled birth attendance was consistently low across almost all sociodemographic characteristics as compared to antenatal care attendance. The binary logistic regression analysis however indicated higher inclination toward skilled birth attendance among women who had at least four antenatal care visits [OR=5.87, CI=4.86-7.08]. The category of women noted to have higher tendencies of skilled birth attendance was those with higher/tertiary education [OR=9.13, CI=2.19-37.93], the rich [OR=4.27, CI=3.02-6.06], urban residents [OR=2.35, CI=1.88-2.93], women with maximum of four children [OR=1.36, CI=1.08-1.72], and those using modern contraceptives [OR=1.24, CI=1.03-1.50]. Conclusion. We recommend that interventions to enhance skilled birth attendance must target women who do not achieve at least four antenatal visits, those with low wealth standing, those not using contraceptives, and women without formal education. Again, an in-depth qualitative study is envisaged to deepen the understanding of these dynamics in the rural setting.

scholarly journals Physical activity patterns and correlates among adults from a developing country: the Sri Lanka Diabetes and Cardiovascular Study

2012 ◽  
Vol 16 (9) ◽  
pp. 1684-1692 ◽  
Author(s):  
Prasad Katulanda ◽  
Ranil Jayawardana ◽  
Priyanga Ranasinghe ◽  
MH Rezvi Sheriff ◽  
David R Matthews
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Regression Analysis ◽  
Physical Inactivity ◽  
Tertiary Education ◽  
Binary Logistic Regression ◽  
Female Gender ◽  
Binary Logistic Regression Analysis ◽  
Sri Lankan ◽  
Highly Active

AbstractObjectiveTo evaluate patterns of physical activity (PA), the prevalence of physical inactivity and the relationships between PA and sociodemographic, clinical and biochemical parameters among Sri Lankan adults.DesignDescriptive cross-sectional study.SettingNationally representative population-based survey conducted in Sri Lanka.SubjectsData on PA and associated details were obtained from 5000 adults. PA was assessed using the International Physical Activity Questionnaire (short-form). A binary logistic regression analysis was performed using the dichotomous variable ‘health-enhancing PA’ (0 = ‘active’, 1 = ‘inactive’).ResultsSample size was 4485. Mean age was 46·1 (sd 15·1) years, 39·5 % were males. The mean weekly total MET (metabolic equivalents of task) minutes of PA among the study population was 4703 (sd 4369). Males (5464 (sd 5452)) had a significantly higher weekly total MET minutes than females (4205 (sd 3394); P < 0·001). Rural adults (5175 (sd 4583)) were significantly more active than urban adults (2956 (sd 2847); P < 0·001). Tamils had the highest mean weekly total MET minutes among ethnicities. Those with tertiary education had lowest mean weekly total MET minutes. In all adults 60·0 % were in the ‘highly active’ category, while only 11·0 % were ‘inactive’ (males 14·6 %, females 8·7 %; P < 0·001). Of the ‘highly active’ adults, 85·8 % were residing in rural areas. Results of the binary logistic regression analysis indicated that female gender (OR = 2·1), age >70 years (OR = 3·8), urban living (OR = 2·5), Muslim ethnicity (OR = 2·7), tertiary education (OR = 3·6), obesity (OR = 1·8), diabetes (OR = 1·6), hypertension (OR = 1·2) and metabolic syndrome (OR = 1·3) were all associated with significantly increased odds of being physically ‘inactive’.ConclusionsThe majority of Sri Lankan adults were ‘highly active’ physically. Female gender, older age, urban living, Muslim ethnicity and tertiary education were all significant predictors of physical inactivity. Physical inactivity was associated with obesity, diabetes, hypertension and metabolic syndrome.

scholarly journals Education and Economic Growth in Developing Countries: Empirical Evidence from GMM Estimators for Dynamic Panel Data

2021 ◽  
Vol 34 (1) ◽  
pp. 14-29
Author(s):  
Wafa Sebki
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Tertiary Education ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Negative Effect ◽  
The Difference ◽  
Difference Gmm ◽  
Positive Effect

Abstract The paper aims at studying the effect of education measured by enrolment ratios in secondary and higher education on economic growth measured by the rate of GDP growth in a sample of 40 developing countries during the period from 2002 to 2016 using the dynamic panel data estimators. The results of estimating the model of this study using the difference GMM estimator or what is known as the Arellano and Bond estimator showed that the proportions of those enrolled in tertiary education had a significant positive effect on economic growth, while the proportions of those enrolled in secondary education had a significant negative effect.

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Keputusan Migrasi Commuter di Kabupaten Demak

2018 ◽  
Vol 5 (4) ◽  
pp. 345-353
Author(s):  
Ahmad Shidiq
Keyword(s):  
Logistic Regression ◽  
Marital Status ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Migration Decision ◽  
Significant Positive Effect ◽  
Rural Regions ◽  
Negative Effect ◽  
Positive Effect

Fenomena migrasi sangat mewarnai di beberapa negara berkembang, termasuk di berbagai daerah di Indonesia. Di Indonesia terutama banyak tenaga kerja yang berasal dari daerah pedesaan mengalir ke daerah perkotaan, Salah satunya dari Kabupaten Demak. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi keputusan migrasi commuter di Kecamatan Karangtengah Kabupaten Demak antara lain adalah pendapatan pendidikan, pekerjaan daerah asal, jumlah tanggungan serta status perkawinan. Dalam penelitian ini menggunakan data primer melalui instrumen kuesioner terhadap sampel yaitu sebanyak 89 responden, dan menggunakan data sekunder yaitu data dari instansi-instansi terkait serta literatur buku. Penelitian ini dilakukan di Kecamatan Karangtengah Kabupaten Demak. Analisi yang digunakan dalam penelitian ini adalah binary logistic regression. Hasil penelitian menunjukkan bahwa pendapatan berpengaruh negatif dan signifikan terhadap keputusan migrasi commuter, pendidikan berpengaruh positif dan tidak signifikan terhadap keputusan migrasi commuter, pekerjaan di daerah asal berpengaruh positif dan tidak signifikan terhadap keputusan migrasi commuter, jumlah tanggungan daerah asal berpengaruh negatif dan tidak signifikan terhadap keputusan migrasi commuter, status perkawinan berpengaruh positif dan signifikan terhadap keputusan migrasi commuter. The phenomenon of migration is very coloring in some developing countries , including in the various regions in Indonesia . In Indonesia especially many workers coming from rural regions flowed into the urban area, One of Demak District. This study aims to determine the factors that influence the decision of commuter migration in Sub Karangtengah Demak district include the earnings of education, employment areas of origin, number of dependents and marital status. In this research, using primary data through a questionnaire on the sample of 89 respondents, and using secondary data is data from relevant agencies and literature books. This research was conducted at Sub Karangtengah, Demak District. The analysis used in this study is a binary logistic regression. The results showed that the income a significant negative effect on the migration decision commuter, education has positive and not significant to the migration decision commuter, work in the area of origin has positive and not significant to the migration decision commuter, number of dependents homelands negative and not significant to decision commuter migration, marital status and significant positive effect on the decision commuter migration.

scholarly journals WHY DO THE ELDERLY KEEP WORKING?

TRIKONOMIKA ◽  
2020 ◽  
Keyword(s):  
Elderly Population ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Education Level ◽  
Primary Data ◽  
Minimum Sample Size ◽  
Negative Effect ◽  
Positive Effect ◽  
Effect Of Age

The elderly population are considered unproductive. However, in Kalisari village, many older people continue to work. This study aims to determine the effect of age, education level, number of dependents and other income on the elderly's decision to work. Primary data were collected using interview based on questionnaires. The population consists of 144 people aged 60+ comprising of 84 people who are unemployed and 60 unemployed. In this study, the determination of the minimum sample size was carried out with the Slovin formula to choose 60 respondents consisting of 30 employed and 30 unemployed. Data analysis using binary logistic regression shows that age and education level do not have a significant effect on the elderly population's decision to work, while other income has a significant negative effect and the number of family dependents has a significant positive effect on the elderly's decision to work.

scholarly journals Board composition, ownership concentration, and voluntary internet disclosure by MSM-listed companies

2014 ◽  
Vol 10 (1) ◽  
pp. 60-70 ◽  
Author(s):  
Mohamed A. K. Basuony ◽  
Ehab K. A. Mohamed
Keyword(s):  
Financial Reporting ◽  
Binary Logistic Regression ◽  
Listed Companies ◽  
Securities Market ◽  
Ownership Concentration ◽  
Binary Logistic Regression Analysis ◽  
Corporate Reporting ◽  
Gcc Countries ◽  
Important Region ◽  
Negative Effect

The purpose of this paper is to examine the determinants and characteristics of voluntary internet disclosures by listed companies in Oman. This paper uses archival data from listed companies on Muscat Securities Market (MSM). Binary Logistic Regression analysis is used to examine the determinants of internet financial reporting. The results of this study reveal that ROA is one of the factors that impacts internet financial reporting. Also, the results reveal that ownership concentration has a negative effect on the internet financial disclosure. The paper provides insights into corporate internet disclosures in the GCC countries that will benefit all stakeholders with an interest in corporate reporting in this important region of the world.

Exploring the Usefulness of User-Generated Content for Business Intelligence in Innovation

2021 ◽  
Vol 17 (2) ◽  
pp. 44-70
Author(s):  
Mohammad Kamel Daradkeh
Keyword(s):  
Information Quality ◽  
Source Credibility ◽  
Information Source ◽  
Binary Logistic Regression ◽  
Two Dimensions ◽  
Reference Source ◽  
Content Quality ◽  
Active User ◽  
Negative Effect ◽  
Positive Effect

This study presents a systematic approach that integrates the information adoption model (IAM) with topic modeling to analyze the digital voice of users in online open innovation communities (OOICs) and empirically examines the usefulness of UGC with large amounts of redundant information and varying content quality across two dimensions: information quality and information source credibility. A total of 61,227 bug comments were collected from the OOIC of Huawei EMUI and analyzed using binary logistic regression. The results show that information timeliness and completeness have a positive effect on the usefulness of UGC in OOICs; conversely, information semantics have a negative effect on the usefulness of UGC. Prior user experience has no influence on the usefulness of UGC in OOICs, while active user contribution has a positive effect on the usefulness of UGC. The results of this study offer several implications to researchers and practitioners, and thus could serve as a pivotal reference source for further investigation of potential determinants of UGC usefulness in OOICs.

ANALISIS PENGARUH RASIO PROFITABILITAS, LEVERAGE, LIKUIDITAS, FIRM AGE, DAN KEPEMILIKAN INSTITUSIONAL TERHADAP FINANCIAL DISTRESS

SIMAK ◽  
2018 ◽  
Vol 16 (01) ◽  
pp. 45-62
Author(s):  
Tirza Chrissentia ◽  
Julianti Syarief
Keyword(s):  
Financial Services ◽  
Financial Distress ◽  
Stock Exchange ◽  
Binary Logistic Regression ◽  
Institutional Ownership ◽  
Observation Data ◽  
Firm Age ◽  
Financial Decline ◽  
Negative Effect ◽  
Positive Effect

The condition of financial distress is a stage of corporate financial decline thatoccurred before a firm bankrupt. The purpose of this research is to analyze theinfluence of profitability, leverage, liquidity, firm age, institutional ownership of thepossibility of financial distress on non-financial services companies listed on theIndonesia Stock Exchange 2014-2016.The method of analysis used in this studyis binary logistic regression. Based on purposive sampling method, this studyobtained 89 companies as samples with 267 observation data. The results of thisstudy indicate that profitability, liquidity, firm age, and institutional ownership havea significant negative effect on the possibility of financial distress. Meanwhile, theleverage variable has a significant positive effect on the possibility of financialdistress.

scholarly journals Extrinsic and Intrinsic for online Classroom

2021 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Yuwanuch Gulatee ◽  
Babara Combes ◽  
Yuwadee Yoosabai ◽  
Piyaphisak Jaerasukon
Keyword(s):  
Tertiary Education ◽  
Descriptive Statistics ◽  
Online Classroom ◽  
Chi Square ◽  
Likert Scales ◽  
Four Dimensions ◽  
Global Pandemic ◽  
Negative Effect ◽  
Chi Square Test ◽  
Positive Effect

The objectives of this research are 1) to examine how Thai youth in tertiary education feel about extrinsic and intrinsic rewards when studying online.2) to explore any similarities and differences between the two techniques. 3) to determine how students felt about the reward system used in this class. The samples in this research are 37 students. They are all the students who study in an online classroom for the whole semester during the COVID19 global pandemic (2019-2021).The questionnaire and the interview instruments were designed to clarify participants&rsquo; attitude and used a five point Likert scales and the entire reliability value is 0.80. The statistics used for data analysis were included descriptive statistics; and proportion and percentage, and inferential statistics such as multiple regression and Chi-square- test. The result disclose as follows : 1) The students showed that all of the four dimensions of this variables test of which one variables is extrinsic, have significant, positive relationships with satisfaction (r = .690, p &lt; 0.01). 2) The results indicate that extrinsic and intrinsic variables had a negative effect on satisfaction (b = .051, p &gt; 0.01), (b = .252, p &gt; 0.01).3) the results indicate that Feelings had a positive effect on satisfaction (&beta; = .638, p &lt; 0.01) and could predict satisfaction variables by 56.1 percent (adjusted R2 &nbsp;= 0.561), and extrinsic and intrinsic variables had a negative effect on satisfaction (p &gt; 0.01).

scholarly journals The Effect of Remittance, GDP, investment, and population on Unemployment in Indonesia

2019 ◽  
Vol 35 (1) ◽  
pp. 175-184 ◽  
Author(s):  
Ratni Heliati
Keyword(s):  
Economic Growth ◽  
Least Square ◽  
Annual Data ◽  
Domestic Investment ◽  
Job Seekers ◽  
Unemployed People ◽  
Ordinary Least Square ◽  
Negative Effect ◽  
Almost All ◽  
Positive Effect

One of the problems exist in almost all countries is unemployment that has not been resolved perfectly. It occurs because employment cannot absorb all the job seekers who have diverse expertise, as well as domestic investment that is still unable to create new jobs. Indonesia which has an increase of population above the economic growth has not been able to alleviate unemployment so that it needs to encourage and enlarge export services. Researchers take unemployment, economic growth, and remittance as the topic of discussion, where data reveals that number of unemployed people increases very rapidly and remittances tend to be stable. The method used in this study is Ordinary Least Square (OLS) with the study location in Indonesia and using annual data (time series) from 1984 to 2016. The research results show that remittances, population growth, and economic growth have a significant positive effect on unemployment, while investment has a significant negative effect on unemployment. In the end, the problem of unemployment cannot be resolved partially but need to jointly encourage all possible variables for the solution.

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