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All Journal Media Kesehatan Masyarakat Indonesia Jurnal Kesehatan Masyarakat Jurnal Berkala Epidemiologi Jurnal NERS JURNAL KESEHATAN LINGKUNGAN (Journal of Environmental Health) Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population) Majalah Obstetri dan Ginekologi Health Notions Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Journal Orthopaedi and Traumatology Surabaya (JOINTS) Jurnal Layanan Masyarakat (Journal of Public Service) Indonesian Journal of Global Health research Media Gizi Kesmas Jurnal Kesehatan Tambusai Narra J Berita Kedokteran Masyarakat Strada Jurnal Ilmiah Kesehatan (SJIK)
Soenarnatalina Melaniani
Department Of Biostatistics And Population, Faculty Of Public Health, Universitas Airlangga
Humanities Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Dentistry Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : Health Notions

 1 
Spatial Modeling Of Infant Mortality Rate In South Central Timor Regency Using GWLR Method With Adaptive Bisquare Kernel And Gaussian Kernel Sabat, Teguh Prawono; Melaniani, Soenarnatalina; Purnomo, Windhu
Health Notions Vol 1 No 2 (2017): April-June 2017
Publisher : Humanistic Network for Science and Technology (Address: Cemara street 25, Ds/Kec Sukorejo, Ponorogo, East Java, Indonesia 63453)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1011.723 KB)

Abstract

Geographically Weighted Logistic Regression (GWLR) was regression model consider the spatial factor, which could be used to analyze the IMR. The number of Infant Mortality as big as 100 cases in 2015 or 12 per 1000 live birth in South Central Timor Regency. The aim of this study was to determine the best modeling of GWLR with fixed weighting function and Adaptive Gaussian Kernel in the case of infant mortality in South Central Timor District in 2015. The response variable (Y) in this study was a case of infant mortality, while variable predictor was the percentage of neonatal first visit (KN1) (X1), the percentage of neonatal visit 3 times (Complete KN) (X2), the percentage of pregnant get Fe tablet (X3), percentage of poor families pre prosperous (X4). This was a non-reactive study, which is a measurement which individuals surveyed did not realize that they are part of a study, with analysis unit in 32 sub-districts of South Central Timor Districts. Data analysis used open source program that was Excel, R program, Quantum GIS and GWR4. The best GWLR spatial modeling with Adaptive Gaussian Kernel weighting function, a global model parameters GWLR Adaptive Gaussian Kernel weighting function obtained by g (x) = 0.941086 - 0,892506X4, GWLR local models with adaptive Kernel bisquare weighting function in the 13 Districts were obtained g(x) = 𝛽0 − 𝛽0X4, factors that affect the cases of infant mortality in 13 sub-districts of South Central Timor Regency in 2015 was the percentage of poor families pre prosperous.
Bagging Approach for Increasing Classification Accuracy of CART on Family Participation Prediction in Implementation of Elderly Family Development Program Anugrahanti, Wisoedhanie Widi; Wibowo, Arief; Melaniani, Soenarnatalina
Health Notions Vol 1 No 2 (2017): April-June 2017
Publisher : Humanistic Network for Science and Technology (Address: Cemara street 25, Ds/Kec Sukorejo, Ponorogo, East Java, Indonesia 63453)

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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.
Demographic Characteristics and the Performance of Supervisors of Swallowing Drugs in Parepare, Indonesia Syarifuddin Syarifuddin; Chatarina Umbul Wahyuni; Soenarnatalina Melaniani
Health Notions Vol 2, No 6 (2018): June
Publisher : Humanistic Network for Science and Technology (HNST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (146.135 KB) | DOI: 10.33846/hn.v2i6.213

Abstract

2, 3 1(CA), Indonesia;  (Corresponding Author) 2, Indonesia 3, Indonesia ABSTRACT Pulmonary tuberculosis is a disease of global concern. This research was carried out in the work area of the City Health Center in Parepare, South Sulawesi, Indonesia. The purpose of this study was to analyze the influence of characteristics of supervisors swallowing drugs participants including demographic characteristics (age, sex, education, socio-economic), knowledge, attitudes and practices; on the performance of "supervisors swallowing drugs" in an effort to build adherence to patients with pulmonary tuberculosis in the treatment process, using a cross sectional design. The population of this study were all "drug swallowing supervisors" in the Parepare City Health Center Work Area, South Sulawesi, Indonesia. The sample in this study were 88 people selected by purposive sampling technique. Data on the characteristics of respondents, knowledge, attitude and practice were collected through questionnaires. After being collected, the data were analyzed by using logistic regression test. Based on the results of the study it was concluded that the performance of supervisors swallowing drugs related to work status. Keywords: Tuberculosis, Supervisors swallowing drugs
Subset Best Method Regression Analysis with Cp Mallows Statistics on Factors Affecting Life Expectancy Hardian Bimanto; Hari Basuki Notobroto; Soenarnatalina Melaniani
Health Notions Vol 6, No 3 (2022): March
Publisher : Humanistic Network for Science and Technology (HNST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hn60306

Abstract

One method used in the multiple linear regression model is the best subset using Cp Mallows statistics. The best subset begins by combining independent variables to describe the dependent variable. Select a combination with a high coefficient of determination and a low Cp value. The purpose of this study was to apply the best subset method of Cp Mallows statistics to obtain multiple linear regression models of factors that affect life expectancy. This survey was a secondary data survey using data from Health Profiles published in 2016 in East Java. Data from 38 cities with dependent variables were life expectancy and independent variables such as diarrhea prevalence, dengue prevalence, healthy homes, clean and healthy living behavior, and average school hours. The results showed that the coefficient of determination was 69.7% and the Cp value was 3.9 for the three combinations of diarrhea prevalence, healthy family, and average school hours.  Keywords: life expectancy; subset best method; regression; Cp Mallows
Co-Authors A.A. Ketut Agung Cahyawan W Ahsan Ahsan Ahsan Ahsan Alfadhila Khairil Sinatrya Andi Safutra Suraya Annas Buanasita Ardianah, Eva Arief Wibowo Arina Dery Puspitasari Asti Dewi Rahayu Fitrianingsih Badriawan, Muhammad Jefri Boerhan Hidayat, Boerhan Celine Masyita Desiana Chatarina Umbul Wahyuni Diah Indriani Dwi Oktavia Sri Asmoro Farisa Al Amin Avin Fatimatuz Zahra Oviary Satryo Fauzul Meiliani Handajani, Noor I. Hanifah, Laili Hanindita, Meta Herdiana Hardian Bimanto Hardian Bimanto Hari Basuki Notobroto Hari Basuki Notobroto Imam Subadi Indah Handriani Indah Handriani, Indah KUNTORO Kuntoro Kuntoro Kuntoro Kuntoro Kusnanto Kusnanto Lilis Sulistyorini Lily Aina Lydia Arfianti Mahmudah Mahmudah Mahmudah Mahmudah Manihuruk, Surma Elisa Maulidiyatun Nafiisah Maya Fernandya Siahaan Melinda Putri Amelia Rachman Nabila Amalina Nanda Ardianto Nunik Puspitasari Nur Aisiyah Widjaja, Nur Aisiyah Nurfidaus, Yasmine Nursalam, Nursalam Pebriaini, Prisma Andita Poerwandari, Dewi Rachmah Indawati Rahmatika, Auni Renaldi Kurniawan Ria Puspitasari Roedi Irawan Rondhianto Rondhianto Rosly Zunaedi Rosyid, Alfian Nur Salim, Lutfi A. Santoso, Febrina Mustika Sari, Nur MW. Semedi, Bambang Pujo Sigit Ari Saputro SITI NURUL HIDAYATI Siti Rohmatun Ni'mah Soares, Ivo Da Costa Sokvy, Ma Sri Sumarmi Sudibyo, Devi A. Sulvy Dwi Anggraini Syahfitri Wulandari Syarifuddin Syarifuddin Tamara Nur Budiarti Teguh Prawono Sabat, Teguh Prawono Trias Mahmudiono Ulfa Al Uluf Utama Hutapea, Johannes Diandra Indra Wahyul Anis Windhu Purnomo Wisoedhanie Widi Anugrahanti Yuly Sulistyorini