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All Journal Jurnal Vektor Penyakit Jurnal Berkala Epidemiologi Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population) The Indonesian Journal of Public Health Health Notions Jurnal Wiyata : Penelitian Sains dan Kesehatan

Arief Wibowo

Biostatistics And Demography Department, Master’s Degree Of Public Health Department, Faculty Of Public Health, Universitas Airlangga, Indonesia

Author-ID : 2535482

Dentistry Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

Published : 19 Documents Claim Missing Document

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Articles

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Bagging Approach for Increasing Classification Accuracy of CART on Family Participation Prediction in Implementation of Elderly Family Development Program Wisoedhanie Widi Anugrahanti; Arief Wibowo; Soenarnatalina Meilanani
Health Notions Vol 1, No 2 (2017): April-June
Publisher : Humanistic Network for Science and Technology (HNST)

Classification and Regression Tree (CART) was a method of Machine Learning where data exploration was done by decision tree technique. CART was a classification technique with binary recursive reconciliation algorithms where the sorting was performed on a group of data collected in a space called a node / node into two child nodes (Lewis, 2000). The aim of this study was to predict family participation in Elderly Family Development program based on family behavior in providing physical, mental, social care for the elderly. Family involvement accuracy using Bagging CART method was calculated based on 1-APER value, sensitivity, specificity, and G-Means. Based on CART method, classification accuracy was obtained 97,41% with Apparent Error Rate value 2,59%. The most important determinant of family behavior as a sorter was society participation (100,00000), medical examination (98,95988), providing nutritious food (68.60476), establishing communication (67,19877) and worship (57,36587). To improved the stability and accuracy of CART prediction, used CART Bootstrap Aggregating (Bagging) with 100% accuracy result. Bagging CART classifies a total of 590 families (84.77%) were appropriately classified into implement elderly Family Development program class. Keywords: Bagging Classification and Regression Tree, Classification Accuracy, Family Participation

Social Support and Substance Abuse Relapse Adelia Perwita Sari Perwita Sari; Chatarina Umbul Wahyuni; Arief Wibowo
Health Notions Vol 2, No 1 (2018): January
Publisher : Humanistic Network for Science and Technology (HNST)

Substance abuse is the health problem that affects physical, mental and social health. Rehabilitation program is one of the strategies to reduce the number of addictive substance users but the relapse is common happen to the users that taking rehabilitation. The aim of this study was to assess social support as risk factors for substance abuse relapse. This case-control study was conducted to 39 people in each control and case group. The samples were obtained with simple random sampling. The cases were the person who relapses after completed rehabilitation program, while the controls were the person who still being abstinence after completed rehabilitation program. Data were collected with the questionnaire and analyzed with Chi-square test. The result showed that social support was related to substance abuse relapse (p=0.000). The lack of social support was related to the higher risk of substance abuse relapse (OR=6.92, 95%CI=2.51 – 19.22). The appraisal support was the dominance risk factor (OR=10.88, 95%CI=3.48 - 33.98) of substance abuse relapse compared to informational, instrumental, and emotional support. The involvement of the source of social support in rehabilitation program is important to help the users stay abstinence after released from the rehabilitation center. Keywords: Substance abuse, Social support, Relapse risks

Comparison of MICE and Regression Imputation for Handling Missing Data Berliana Devianti Putri; Hari Basuki Notobroto; Arief Wibowo
Health Notions Vol 2, No 2 (2018): February
Publisher : Humanistic Network for Science and Technology (HNST)

Data collection activities have a higher risk of missing data. Missing data may produce biased estimates and standard errors increased, so imputation method is needed. The purpose of this study was to investigate which imputation method is the most appropriate to use for handling missing data. The strategies evaluated include complete case analysis, Multivariate Imputation by Chained Equation (MICE), and Regression Imputation. This study was non-reactive study and used raw data RPJMN 2015 Survey from BKKBN East Java Province. There were three incomplete data sets were generated from a complete raw dataset with 5%, 10%, and 15% missing data. Incomplete data sets were made missing completely at random. Based on Friedman Test, both of imputation methods produced estimates which was no different with complete raw data set. Based on Mean Square Error analysis, MICE provided MSE values less and more stable than Regression Imputation in all scenarios. Conclusion: Multivariate Imputation by Chained Equation (MICE) was the most recommended method to use for handling missing data less than 15%. Keywords: Missing data, MICE, Regression imputation

The Affecting Factors to Grade of Breast Cancer in Dr. Soetomo Hospital of Surabaya Ulfa Aulia; Arief Wibowo; Hari Basuki Notobroto
Health Notions Vol 2, No 6 (2018): June
Publisher : Humanistic Network for Science and Technology (HNST)

Prognosis of cancer depends on variables, other factors, the stage of cancer, the biological warfare and general conditions when the cancer is diagnosed. Social status, economic status, and demographic issues choose in determining the stage of cancer when the patient first comes to the hospital. The purpose of this study to examine the role, nutritional status, and family history with breast cancer patients in Dr. Soetomo hospital. The study conducted in this study was a non-reactive or non-intrusive method. The sample in the analysis using simple random sampling with sample size of 95 patients. Does not contain the effect of variables associated with grade of breast cancer with p-value 0.795. While for variable of nutritional status and family history with cancer to breast cancer level with p-value 0.033 and 0.005. The p-value in the fitting information table was 0.003 model which contains not only the intercept that was not displayed. The value of Nagelkerke 0.157 or 15.7% means that variable cost, nutritional status and family history with cancer can be used only by 15.7%. From the existing variables was 2 significant variables, namely nutritional status with p-value 0.033 and family history with cancer with p-value 0.005. While time did not significantly influence breast cancer rate with p-value 0.795. Keywords: Grade of breast cancer, Age, Nutritional status, Family history

FAKTOR YANG MEMENGARUHI KEMATIAN IBU (STUDI KASUS DI KOTA SURABAYA) Krisnita Dwi Jayanti; Hari Basuki N; Arief Wibowo
Jurnal Wiyata Penelitian Sains dan Kesehatan Vol 3, No 1 (2016)
Publisher : LP2M IIK (Lembaga Penelitian dan Pengabdian Masyarakat Institut Ilmu Kesehatan) Bhakti Wiy

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Latar belakang:Angka kematian ibu di Indonesia masih cukup tinggi, yaitu sebesar 359 per 100.000 kelahiran hidup (SDKI 2012). Kota Surabaya merupakan salah satu kota di Provinsi Jawa Timur yang memiliki kasus kematian ibu cukup tinggi, sehingga diperlukan penelitian untuk mengetahui faktor yang memengaruhi kematian ibu di Kota Surabaya. Tujuan: Penelitian dilakukan untuk mengetahui faktor-faktor yang memengaruhi kematian ibu. Metode: jenis penelitian adalah observasional dengan studi kasus kontrol. Jumlah sampel 38 kasus dan 76 kontrol. Analisis data menggunakan uji univariat, bivariat dengan regresi logistik sederhana dan multivariat dengan regresi logistik berganda. Hasil: hasil penelitian menunjukkan bahwa faktor yang memengaruhi kematian ibu berdasarkan analisis multivariat adalah riwayat penyakit (OR = 8,9; 95% CI : 2,76-28,71; p = 0,001), riwayat KB (OR = 4,2; 95% CI : 1,18-14,62; p = 0,027), Status anemia (OR= 3,8; 95% CI : 1,33-10,98; p = 0,013), riwayat komplikasi (OR = 3,3; 95% CI : 0,78-14,32; p = 0,10). Simpulan dan saran: Terdapat pengaruh antara riwayat penyakit, riwayat KB, status anemia, dan riwayat komplikasi terhadap kematian ibu. Penelitian selanjutnya diharapkan dapat melibatkan faktor sosiodemografi dalam memprediksi faktor risiko kematian ibu.

Analisis Angka Harapan Hidup di Jawa Timur Tahun 2015 Lina Septi Danasari; Arief Wibowo
Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population) Vol. 6 No. 1 (2017): JURNAL BIOMETRIKA DAN KEPENDUDUKAN
Publisher : Universitas Airlangga

Life expectancy is one of the indicators to calculate the Human Development Index (HDI) which determined by infants’ health, toddlers’ health, frequency of liveborn children and death rate in the community. East Java Province has four dominant cultural areas such as Mataraman including the western part of the border of Central Java to Kediri, Madura including Bangkalan to Pamekasan, Arek including north coast of Surabaya to Malang and Tapal Kuda including Pasuruan, Probolinggo, Situbondo, Bondowoso, Lumajang and Jember. Those four cultural areas have different characteristic that can affect public health status especially life expectancy in East Java Province. The analysis aimed to know the correlation between infant mortality rate and life expectancy and to know the differences of life expectancy among four cultural areas in East Java year 2015. This analysis used secondary data obtained from Central Bureau of Statistic of East Java on May, 2017. The data were life expectancy as dependent variable, infant mortality rate as independent variable and cultural areas in East Java as grouping variables. The result showed that there was correlation between infant mortality rate with life expectancy (p=0.000) and there was different in life expectancy among four cultural areas in East Java year 2015 (p=0.000) such as cultural areas Mataraman-Madura, Mataraman-Tapal Kuda and Arek-Tapal Kuda. It suggested the government to continue improving the socio-economic welfare of the community and public health improvement in the Tapal Kuda area which had high infant mortality rate and low life expectancy.

Principal Component Analysis (PCA) untuk Mengatasi Multikolinieritas terhadap Faktor Angka Kejadian Pneumonia Balita di Jawa Timur Tahun 2014 Fita Mega Kusuma; Arief Wibowo
Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population) Vol. 6 No. 2 (2017): JURNAL BIOMETRIKA DAN KEPENDUDUKAN
Publisher : Universitas Airlangga

Correlation between independent variables in multiple linear regression model called multicollinearity. One of the assumptions of multiple linear regression free from multicollinearity problem. Principal Component Analysis (PCA) method in this study aims to overcome the existence of multicollinearity in multiple linear regression and know the dominant factor to the research. PCA method has the advantage of clearing the correlation without losing the original variable. Case study a risk factor that affects the incidence of pneumonia infants in East Java 2014. This non reactive research because uses publication data of health profil of East Java. Result of this research multicollinearity problem in research data when detected by VIF/tolerance method. Variable of vitamin A coverage, measles immunization coverage and health service coverage are the variables that observed multicollinearity. A multicollinearity solution produces (F1) or new variable(coverage of vitamin A, immunization measles and health service), reduction of three variables that multicollinearity to not multicollinearity with VIF value of 1.608 < 10. Results of this study also proves the weakness of PCA method in analyzing the significance. PCA method shows the most influencing factors on the incidence of pneumonia of children under five year. Dominant factor in this research coverage of infant health services covering, coverage of vitamin A and coverage of measles immunization. Coverage factor of health services has a coefficient matrix value of 0.890 or 89% more influential than other factor.

Faktor yang Memengaruhi Kemiskinan di Provinsi Jawa Timur Tahun 2014 Salihati Hanifa; Arief Wibowo
Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population) Vol. 6 No. 2 (2017): JURNAL BIOMETRIKA DAN KEPENDUDUKAN
Publisher : Universitas Airlangga

Indonesia is one of the developing countries that still experience classic problems such as poverty. Poverty is a classic multidimensional problem, because it is caused by various factors such as Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI). This study aims to analyze determine the effect of Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI) on the percentage of poor people in East Java. This study uses unobtrusive method and uses secondary data in the form of publication data of Badan Pusat Statistik (BPS) of East Java Province. The unit of analysis in this study is 38 districts/cities in East Java. The dependent variable in this study is the percentage of poor people in East Java Province, while the independent variables are Open Unemployment Rate (OUR), percentage of contraception’s user and Human Development Index (HDI). The result based on multiple linear regression analysis shows that the factors can influence the percentage of poor people are percentage of contraception’s user (p = 0.015) and HDI (p = 0.000). The government is expected to evaluate the programs that have been implemented and related to poverty alleviation.

Analisis Survival Penyakit Jantung Koroner Berulang Fidya Panorama Damayanti; Arief Wibowo
Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population) Vol. 6 No. 1 (2017): JURNAL BIOMETRIKA DAN KEPENDUDUKAN
Publisher : Universitas Airlangga

Survival analysis is one of data analysis the result showing certain times had happened. Cox regression analysis is one of the most powerful and commonly used for analyzing survival data since the result of this method showing nearly similar result to parametric model. This study aim is to determine case of recurrent Coronary Heart Disease risk factors, and to know how many survival in day of recurrent Coronary Heart Disease based on the risk factors at RS Islam Surabaya in 2015 – 2016. Measurement in research subjects was conducted in the medical record. This research using observational research approach. Subjects were 63 Coronary Heart Disease inpatients in RS Islam Surabaya. Measurement was conducted to obtain information of examined variables. Independent variables were data sensor status, survival time (measured in day), sex, age, hypertension, hyperlipidemia, and diabetes mellitus. This analysis showing the occurrence time average of recurrent CHDs in Coronary Heart Disease patients in general is 614 days. Rate of reccurence had similar risks for all age groups, gender, hypertension, hyperlipidemia, and diabetes mellitus. CHD patients with hypertension status have risk of 9.291 times greater than no hypertension status. This research can be used by RS Islam Surabaya to gave Communication, Information, and Education to the patient and their relatives especially for patient with hypertension status to have continuous check-up in order not to get another recurrent event of CHD in the near future.

Hubungan Riwayat Menonton Media Dewasa, Teman Menonton Media Dewasa dan Perilaku Seksual dengan Kejadian Menarche Mugawati Aisya; Arief Wibowo
Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population) Vol. 5 No. 1 (2016): JURNAL BIOMETRIKA DAN KEPENDUDUKAN
Publisher : Universitas Airlangga

Menarche is an indicator of teenage girls enter puberty phace. Currently the age of menarche is early has decreased every year. It is triggered by the improvement of living standard which is causing the age of menarche to reduce. This research was intended to identify the age of menarche and the lifestyle which lead to menarche. This research an observational research with analytic and descriptive design. Researcher used the questioner to obtain the respondents data. The subjects of this research were the students of grade X in SMA Negeri 1 Driyorejo which already experiencing menarche. The researched variables were the age of menarche, behavior factor and environment factor that aff ect the menarche. The result of this research showed that most of the respondents experiencing menarche at the age of 12 years old. Most of respondents never have sexual imagination but they watch porn movie with their friends sometimes. The respondents mostly ever did sexual behavior before menarche. The conclusion most of the respondents are living unhealthy lifestyle but most of them has a normal menarche. Counseling about healthy lifestyle and parent guide are needed to form healthy lifestyle for teenage girls.

Co-Authors Adelia Perwita Sari Perwita Sari Berliana Devianti Putri Chatarina Umbul Wahyuni Desy Yuanita Nugroho Diky Novariyanto Dwi Wahyu Ningtyas Dwi Yanti Fidya Panorama Damayanti Fita Mega Kusuma Hari Basuki N Hari Basuki Notobroto Irwanto, Irwanto Iswari Hariastuti Krisnita Dwi Jayanti Lina Septi Danasari Mahmudah Mahmudah Mardiana Mardiana Monika Noshirma Mugawati Aisya Muhammad Bintang Pamungkas Muhammad Kazwaini Pratiwi Purbaningrum Ruben Wadu Willa Salihati Hanifa Siti Fera Irawati Soenarnatalina Meilanani Ulfa Aulia Wilianarti, Pipit Festi Wisoedhanie Widi Anugrahanti

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