Faktor-faktor yang Memengaruhi Kepemilikan Jaminan Kesehatan Pekerja Sektor Informal di Indonesia

Health investment has an important role in economic development and major capital in order to be able to do work. Lack of health insurance can be a poverty trap. This is the fundamental reason why health insurance receives the most attention in the SDG’s. Based on SAKERNAS data in 2017 the percentage of informal sector workers in Indonesia is still quite high, reaching 57.03 percent and of that number only 57.3 percent of informal sector workers have health insurance which means that almost half of the informal sector workers work without health insurance protection . This study aims to determine the factors that influence the ownership of health insurance for informal sector workers in Indonesia. The analysis was conducted inferentially using chi-square and binary logistic regression using SUSENAS data in March 2018. Based on the results of the analysis using chi-square obtained the results that all independent variables have a meaningful relationship with health insurance ownership so the analysis is continued with logistic regression. From the results of logistic regression it is found that the factors that influence the health insurance ownership of informal sector workers in Indonesia are the area of residence, marital status, status in the household, gender, age, NIK ownership, education level, business field, health complaints, status economics, and self-medication.

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The Determinants of Four or More Antenatal Care Visits Among Working Women in Indonesia

Asia Pacific Journal of Public Health ◽

10.1177/10105395211051237 ◽

2021 ◽

pp. 101053952110512

Author(s):

Hanifa M. Denny ◽

Agung D. Laksono ◽

Ratu Matahari ◽

Bina Kurniawan

Keyword(s):

Logistic Regression ◽

Health Insurance ◽

Antenatal Care ◽

Marital Status ◽

Sample Size ◽

Economic Status ◽

Working Women ◽

Binary Logistic Regression ◽

Education Level ◽

Independent Variables

This study aimed to analyze the determinants of 4 or more antenatal care (ANC) visits among working women in Indonesia. The researchers extracted data from the Indonesian Demographic and Health Survey 2017 and obtained a sample size of 8239 working women aged between 15 and 49 years. Women’s residence, age, marital status, education level, parity, economic status, and health insurance were selected as the independent variables. Binary logistic regression was used for the analysis. Older working women, married working women, educated working women, those in higher economic status, and those with health insurance were more likely to complete four or more of their ANC visits. The more children the working women had, the less likely they would complete their ANC visits. In conclusion, age, marital status, education, parity, economic status, and health insurance are the determinants for completing ANC visits among working women in Indonesia. At the same time, place of residence does not affect the frequency of ANC visits.

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Loyalitas Konsumen Terhadap Konsumsi Kopi Tubruk di Meulaboh

Jurnal Ilmiah Mahasiswa Pertanian ◽

10.17969/jimfp.v2i2.3100 ◽

2017 ◽

Vol 2 (2) ◽

pp. 147-155

Author(s):

Dina Fida ◽

Ismayani Ismayani ◽

Fajri Jakfar

Keyword(s):

Logistic Regression ◽

Customer Satisfaction ◽

Customer Loyalty ◽

Binary Logistic Regression ◽

Validity And Reliability ◽

Chi Square ◽

Plantation Species ◽

Long Time ◽

Coffee Powder ◽

The Relationship

Abstrak.Kopi adalah salah satu jenis tanaman perkebunan yang sudah lama dibudidayakan dan memiliki nilai ekonomi yang dapat menghasilkan keuntungan. Kopi tubruk merupakan kopi tradisional yang umumnya lebih keras karena bubuk kopi murni yang langsung diseduh dengan air mendidih, teksturnya lebih kasar, lebih banyak mengandung ampas, aroma kopi yang lebih menyengat, serta tingkat kekentalan yang bisa disesuaikan dengan lidah penikmatnya. Loyalitas konsumen pada umumnya merupakan suatu sikap konsumen yang loyal terhadap pilihan dan penggunaan produk dalam waktu yang lama dan untuk masa yang akan datang, Sedangkan kepuasan konsumen ialah perasaan senang atau kecewa seseorang yang berasal dari perbandingan antara kesannya terhadap kinerja (hasil) sesuatu produk dengan harapannya. Pada penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi loyalitas konsumen terhadap minuman kopi tubruk di Meulaboh, Mengetahui hubungan antara tingkat kepuasan konsumen dengan loyalitas konsumen terhadap konsumsi kopi tubruk di Meulaboh.Adapun metode yang digunakan adalah Uji Validitas dan Reliabilitas,Regresi Logistik Biner dan Chi Square.Hasil Regresi Biner Logistik menunjukkan bahwa citarasa, harga, kualitas pelayanan dan lokasi merupakan faktor yang mempengaruhi loyalitas konsumen terhadap minuman kopi tubruk.Hasil Uji Chi-Square menunjukkan bahwa adanya hubungan yang signifikan antara kepuasan konsumen dengan loyalitas konsumen terhadap minuman kopi tubruk di Meulaboh.Consumer Loyality To The Consumption Of Coffee Brewed In MeulabohAbstract.Coffee is one of the plantation species has long been cultivated and have a mutually beneficial economic value.The brewed coffee is a traditional coffee are generally harder for pure coffee powder that instantly brewed with boiling water, rough texture, contains more dregs, pungent coffee aroma, as well as the level of consistency that can be adapted to the tongue of the audience.Consumer loyalty is generally a loyal consumer attitudes towards choice and use of the product for a long time and for the future.While customer satisfaction is feeling happy or disappointed someone who comes from a comparison between her impression of the performance (yield) of a product with expectations.In this study aims to determine the factors that influence consumer loyalty to the coffee beverage brewed in Meulaboh.Determine the relationship between the level of customer satisfaction and customer loyalty towards the consumption of instant coffee in Meulaboh.The methods used are validity and reliability, Binary Logistic Regression and Chi Square.Binary logistic regression results show that the simultaneous testing of the factors that influence loyalty is taste, price, service quality, and location. While testing only partially furnished variables that influence loyalty.Chi-Square test results indicate that there is a significant relationship between customer satisfaction and customer loyalty so that customer satisfaction is influenced flavors that suit the tastes of consumers.

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Copa America: a resource-based theory of football talent

Team Performance Management ◽

10.1108/tpm-03-2018-0021 ◽

2019 ◽

Vol 25 (3/4) ◽

pp. 176-191

Author(s):

Peter Omondi-Ochieng

Keyword(s):

Logistic Regression ◽

Design Methodology ◽

Binary Logistic Regression ◽

Content Type ◽

Independent Variables ◽

Football Team ◽

Practical Implications ◽

Resource Based Theory

Purpose Guided by the resource-based theory, the purpose of this study was to predict the role of football talent in the Federation Internationale de Football Association (FIFA) rankings of the men’s national football teams in the Copa America zone. Design/methodology/approach The study used archival data of Copa American national football teams. The dependent variable was FIFA rankings, and the independent variables were football talent (measured by the stocks of amateur footballers, professional footballers and football officials). Statistical analysis was performed using Kendall tau statistic and binary logistic regression. Findings The binary logistic regression results indicated that FIFA rankings were statistically and significantly associated with the stock of football officials and professional footballers – but not amateur footballers. The predictive model explained 80 per cent of the variance. Research limitations/implications The study focused exclusively on the stock of football talent in each nation, and not alternative determinants of national football team competitiveness as economic power and quality of professional football leagues, among others. Practical implications The stocks of professional footballers and football officials are valuable sources of competitive advantage (CA) in national football team rankings. Originality/value The study highlighted the uniqueness and distinctiveness of a nation possessing large stocks of professional footballers which can boost the CA and rankings of Copa American national football teams.

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What Are the Determinants of the Decision to Purchase Private Health Insurance in China?

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17155348 ◽

2020 ◽

Vol 17 (15) ◽

pp. 5348

Author(s):

Guangsheng Wan ◽

Zixuan Peng ◽

Yufeng Shi ◽

Peter C. Coyte

Keyword(s):

Logistic Regression ◽

Health Insurance ◽

Private Health Insurance ◽

Insurance Industry ◽

Policy Decision ◽

Medical Expense ◽

Enabling Factors ◽

Chi Square ◽

Services Utilization ◽

Nationally Representative

The objective of this study was to assess the determinants of the decision to purchase private health insurance (PHI) in China. Nationally representative data from the fourth wave of the China Household Finance Survey from 2017 were used, and the dataset comprised 105,691 individuals aged 18 years or older. The Andersen health services utilization model was used to inform the research. Chi-square tests and logistic regression analyses were used to estimate the decision to purchase PHI. The proportion of the sample that had PHI was small, at 5.06%, but coverage for social basic medical insurance (SBMI) was 90.64%. Among PHI holders, the overwhelming majority (87.40%) also had SBMI. Logistic regression analysis demonstrated that predisposing factors (age, education, marital status, household size), enabling factors (household income, SBMI status, geographical factors, household medical expense, and medical debt), and needs-based factors (health status) were statistically significant determinants of the decision to purchase PHI. This study suggests that the socio-economic circumstances of households play a crucial role in the decision to acquire PHI. The findings may be used by the insurance industry to inform actions to enhance PHI coverage and by policy decision-makers that seek to improve equality in access to PHI.

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Predicting field-goal success according to offensive, defensive and contextual variables in elite men’s wheelchair basketball

PLoS ONE ◽

10.1371/journal.pone.0244257 ◽

2021 ◽

Vol 16 (1) ◽

pp. e0244257

Author(s):

John W. Francis ◽

Alun J. Owen ◽

Derek M. Peters

Keyword(s):

Logistic Regression ◽

Performance Analysis ◽

Area Under The Curve ◽

Binary Logistic Regression ◽

Potential Effect ◽

Contextual Variables ◽

Wheelchair Basketball ◽

Chi Square ◽

Context Variable ◽

The Impact

The purposes of this study were to (i) develop a field-goal shooting performance analysis template and (ii) explore the impact of each identified variable upon the likely outcome of a field-goal attempt using binary logistic regression modelling in elite men’s wheelchair basketball. First, a field-goal shooting performance analysis template was developed that included 71 Action Variables (AV) grouped within 22 Categorical Predictor Variables (CPV) representing offensive, defensive and game context variables. Second, footage of all 5,105 field-goal attempts from 12 teams during the men’s 2016 Rio De Janeiro Paralympic Games wheelchair basketball competition were analysed using the template. Pearson’s chi-square analyses found that 18 of the CPV were significantly associated with field-goal attempt outcome (p < 0.05), with seven of them reaching moderate association (Cramer’s V: 0.1–0.3). Third, using 70% of the dataset (3,574 field-goal attempts), binary logistic regression analyses identified that five offensive variables (classification category of the player, the action leading up to the field-goal attempt, the time left on the clock, the location of the shot, and the movement of the player), two defensive variables (the pressure being exerted by the defence, and the number of defenders within a 1-meter radius) and 1 context variable (the finishing position of the team in the competition) affected the probability of a successful field-goal attempt. The quality of the developed model was determined acceptable (greater than 65%), producing an area under the curve value of 68.5% when the model was run against the remaining 30% of the dataset (1,531 field-goal attempts). The development of the model from such a large sample of objective data is unique. As such it offers robust empirical evidence to enable coaches, performance analysts and players to move beyond anecdote, in order to appreciate the potential effect of various and varying offensive, defensive and contextual variables on field-goal success.

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A Cross-Sectional Study of Antibiotic Self-Medication

Thrita ◽

10.5812/thrita.105794 ◽

2020 ◽

Vol 9 (1) ◽

Author(s):

Fatemeh Mousavi ◽

Parisa Shojaei ◽

Azadeh Nazemi ◽

Atefe Dadashi

Keyword(s):

Logistic Regression ◽

Side Effects ◽

Cross Sectional Study ◽

Study Data ◽

P Value ◽

Sectional Study ◽

Self Medication ◽

Chi Square ◽

Cross Sectional ◽

Significant Difference

Objectives: This research has been conducted to study antibiotic self-medication, prevalence, and reasons. Methods: A questionnaire containing 30 comprehensive questions in terms of the experience of antibiotic self-medication was prepared. In this cross-sectional study, data were analyzed using analytical statistics bases on chi-square and logistic regression. Results: The results showed that 61.3% of the participants were self-antibiotic users. There was a significant difference only between gender and self-medication such that self-medication in males was more than females (P value = 0.027). Conclusions: Self-medication of antibiotics is almost high and requires more information about the side effects of these drugs in order to promote rational and physically prescribed use.

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Roosting selection by red and blue Lory (Eos histrio Muller, 1776) in Karakelang Island North Sulawesi

Jurnal Penelitian Kehutanan Wallacea ◽

10.18330/jwallacea.2017.vol6iss1pp61-71 ◽

2017 ◽

Vol 6 (1) ◽

pp. 61

Author(s):

Diah Irawati Dwi Arini ◽

Satyawan Pudyatmoko ◽

Erny Poedjirahajoe

Keyword(s):

Logistic Regression ◽

Binary Logistic Regression ◽

Chi Square ◽

Canopy Density ◽

North Sulawesi ◽

Chi Square Test ◽

Parrot Species ◽

Roost Trees ◽

Selection Of ◽

Analyze Data

The Red and blue lory is an endemic parrot species from Talaud Islands, North Sulawesi. The use of existing resources is suspected that occurs of selection including the roosting trees. The research aims to identifying the characteristics of Red and Blue Lory roost tree and determining variables in its selection. We measured 14 variables to identify the characteristics and selection of roost tree. Mann-Whitney test, T-test, Chi-sqare test and Binary Logistic Regression were employed to analyze data. We detected 11 roost trees in study field, there are Gehe (Pometia coriacea Radkl) nine individual, Binsar (Ficus variegata) and Lawean (Sterculia sp) one individual. The Chi-square test identified five variables which related to roost tree selection, i.e; branch-free bole length, canopy diameter, canopy density and the number of trees around the roost tree on diameter 20 - 40 cm and > 41 cm. The Logistic regression analysis detected three variables that gave the most influence on roost tree selection, but branch-free bole length gave the most influence on roost tree selection.

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Determinan Keputusan Melakukan Migrasi Ulang-Alik

EFFICIENT Indonesian Journal of Development Economics ◽

10.15294/efficient.v1i3.27869 ◽

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.

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Risk Factors that Affect The Incidence of Dengue Haemorrhagic Fever in The Work Area of Puskesmas Pare

JURNAL KESEHATAN LINGKUNGAN ◽

10.20473/jkl.v10i4.2018.417-423 ◽

2018 ◽

Vol 10 (4) ◽

pp. 417

Author(s):

Ericha Fitria Widyatama

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Dengue Hemorrhagic Fever ◽

Community Health Center ◽

Binary Logistic Regression ◽

Hemorrhagic Fever ◽

Haemorrhagic Fever ◽

Cross Sectional ◽

Independent Variables ◽

Work Area

Pare Community Health Center or Puskesmas is one of Puskesmas in Kecamatan Pare which has the highest number of Dengue Hemorrhagic Fever incidence that is 64 incidence in 2016. The purpose of this study is to analyze the risk factors that affect the incidence of Dengue Hemorrhagic Fever in the work area of Puskesmas Pare. It was an observational study with cross sectional approach. Interviews and environmental observations were conducted on 100 respondents, randomly, in the working area of Puskesmas Pare, Desa Tulungrejo. The independent variables of the research were larvae existence , maya index status and 4M Plus behavior, with the dependent variable of the research was Dengue Hemorrhagic Fever incidence in 2016.This data was analized by binary logistic regression test.The results of this study indicate that risk factors that affect the incidence of Dengue Hemorrhagic Fever is the action of 4M Plus (p = 0,017).Therefore, the 4M Plus actions should be further improved independently and promoted evenly to the community in order to suppress the incidence of Dengue Hemorrhagic Fever.

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ANALISIS KURVA ROC PADA MODEL LOGIT DALAM PEMODELAN DETERMINAN LANSIA BEKERJA DI KAWASAN TIMUR INDONESIA

Indonesian Journal of Statistics and Its Applications ◽

10.29244/ijsa.v4i1.524 ◽

2020 ◽

Vol 4 (1) ◽

pp. 116-135

Author(s):

Muhammad Rizqi Fachrian Nur ◽

Siskarossa Ika Oktora

Keyword(s):

Logistic Regression ◽

Health Insurance ◽

Elderly Population ◽

Descriptive Analysis ◽

Binary Logistic Regression ◽

The Elderly ◽

Family Status ◽

Explanatory Variables ◽

The Status ◽

Elementary School Education

Binary logistic regression is used for probability modeling or to predict binary response variables (Success / Failure) from one or more explanatory variables that are continuous or categorical. In carrying out this analysis, there are several ways to test the suitability of the resulting model, and one of them is the area under the ROC curve. The application of the analysis method in this study is the determinant of the elderly population to work. The population of the elderly in Indonesia is increasing every year. Many views that the elderly depend on other residents, especially in terms of the economy. However, if seen from the percentage of elderly working in Indonesia, it is increasing, including the elderly in KTI. The purpose of this study is to determine the characteristics of the elderly in KTI, know the factors that influence the decision of the elderly population to work in KTI and find out the tendency of variables that affect the decision of the elderly to work in KTI. The data used are raw data from Badan Pusat Statistik (BPS) was Survei Sosial Ekonomi Nasional (Susenas) Kor March 2018. This study using descriptive analysis methods and binary logistic regression. The results are that the variables that significantly influence the decisions of the elderly to work are residence, gender, age, education, family status, marital status, health complaints, and health insurance. Elderly who has characteristics residing in rural, male sex, classified as young elderly (60-69 years old), has the highest level of elementary school education, has the status of KRT in his family, is married, has no complaints health, and not having health insurance will have a greater tendency to decide to work.

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