scholarly journals System for Determining Public Health Level Using the Agglomerative Hierarchical Clustering Method

Compiler ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 95
Author(s):  
Suhirman Suhirman ◽  
Hero Wintolo
Keyword(s):  
Mortality Rate ◽  
Hierarchical Clustering ◽  
Clustered Data ◽  
Infant Mortality Rate ◽  
Linkage Data ◽  
Agglomerative Hierarchical Clustering ◽  
Indicator Values ◽  
Complete Linkage ◽  
Health Level ◽  
Child Mortality Rate

Regions having higher level of welfare do not always have better indicator values than other regions having lower level of welfare. The problem is the lack of information related to the indicator values needed to determine the health level. Therefore, clustering using health data becomes necessary. Data were clustered to see the maximum or the minimum level of similarity. The clustered data were based on the similarity of four morality indicator values of the regional health level. Morality indicator values used in this research are infant mortality rate, child mortality rate, maternal mortality rate, and rough birth rate. The method used is Agglomerative Hierarchical Clustering (AHC) - Complete Linkage. Data were calculated using Euclidean Distance Equation, then Complete Linkage. Four clustered data were grouped into two clusters, healthy and/or unhealthy. The result, combining from all clusters into two large clusters to see healthy and unhealthy results.

scholarly journals Analisa Hasil Pengelompokan Wilayah Kejadian Non-Kebakaran Menggunakan Agglomerative Hierachical Clustering di Semarang

2021 ◽  
Vol 15 (2) ◽  
pp. 63
Author(s):  
Desy Exasanti ◽  
Arief Jananto
Keyword(s):  
Hierarchical Clustering ◽  
Manhattan Distance ◽  
Agglomerative Hierarchical Clustering ◽  
Single Linkage ◽  
Bottom Up ◽  
Environment Analysis ◽  
Complete Linkage ◽  
Average Linkage

Abstrak−Klasterisasi merupakan metode pengelompokan dari data yang sudah diketahui label kelasnya untuk menemukan klaster baru dari hasil observasi. Dalam klasterisasi banyak metode yaitu metode terpusat, hirarki, kepadatan dan berbasis kisi, namun dalam penelitian yang dilakukan ini dipilih metode berbasis hirarki. Metode hirarki ini bekerja melakukan pengelompokan objek dengan membentuk hirarki klaster namun bukan berarti selalu digambarkan dengan hirarki dalam organsasi. Dipilihnya Agglomerative Hierarchical Clustering dimana merupakan jenis dari bawah ke atas atau biasa disebut (bottom-up) dalam metode ini objek yang akan diuji dianggap sebagai objek tunggal sebagai klaster dan lalu dilakukan iterasi untuk menemukan klaster-klaster yang lebih besar. Data yang akan digunakan adalah data non-kebakaran pada Dinas Pemadam Kebakaran Kota Semarang ynng mana akan dilakukan pengelompokan wilayah penanganan non-kebakaran. Dinas Pemadam Kebakaran melakukan penanganan bukan hanya kebakaran saja namun ada banyak hal yang sebenarnya dapat ditangani oleh petugas pemadam kebakaran, kejadian non-kebakaran ada beberapa seperti evakuasi reptil, evakuasi kucing, penyelamatan korban kecelakaan dan lain sebagainya. Dari data non-kebakaran dari 16 kecamatan di Kota Semarang pada tahun 2019 akan dilakukan uji menggunakan tiga algoritma yaitu Single Lingkage, Average Linkage dan Complete Linkage . Adapun dari algoritma Single Linkage dilakukan prosedur pemusatan dari jarak terkecil antar objek data, algoritma Average Linkage dilakukan prosedur dari jarak rata-rata objek data, sedangkan jika algoritma Complete Linkage dilakukan prosedur pemusatan dari jarak yang terbesar. Implementasi dan visualiasi dari data uji coba yang dilakukan di penilitian ini menggunakan tools WEKA 3.8.4, Wakaito Environment Analysis for Knowledge atau yang biasa dikenal dengan WEKA ini merupakan software yang menggunakan bahasa pemrograman java. Dari dataset 380 data diambil sampel 100 data untuk diuji mengunakan WEKA menggunakan metode perhtungan jarak Manhattan Distance dengan 3 cluster. Hasil dari data uji coba dapat divisualisasikan dengan visualisasi dendogram pada fitur visualize tree  dan jika dilakukan visualisasi dalam bentuk grafik dapat dilakukan menggunakan fitur visualize clusters assignment.

scholarly journals DYNAMICS OF THE INFANT MORTALITY RATE IN THE REPUBLIC OF SAKHA (YAKUTIA)

2019 ◽  
Vol 21 (2) ◽  
pp. 85-88
Author(s):  
D. O. Ivanov ◽  
Vasily I. Orel ◽  
V. G. Chasnyk ◽  
A. V. Kim ◽  
M. E. Okhlopkov ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Russian Federation ◽  
Neonatal Period ◽  
Infant Mortality Rate ◽  
Social Changes ◽  
The Russian Federation ◽  
The Republic ◽  
Child Mortality Rate ◽  
Demographic Policy

The infant mortality included in the structure of the mortality of children population is considered to be one of the major demographic factors most clearly reflecting the country’s level of the development and on-going economic and social changes. The infant mortality rate is a key index of the development of the health system. The significance of the infant mortality rate is determined by its high contribution to the child mortality rate in general. So the share of deaths among children aged 0-14 years in infants of the first year of life amounts of 55% to 65%. 40% of newborns died in the early neonatal period and 30% babies - in the post-neonatal period. In accordance with the Concept of the demographic policy of the Russian Federation for the period up to 2025 approved by the decree of the President of the Russian Federation dated 09.10.07 No. 315, one of the most important tasks of the demographic policy in the country is the reduction of the infant mortality rate at least by two times. The correct and timely analysis of the infant mortality rate allows developing a set of specific measures to reduce the morbidity and mortality rate of children, to assess the effectiveness of measures to describe and to plan the work for the protection of motherhood and childhood in general. In the article there is presented the analysis of the underlying causes and dynamics of the infant mortality in the Republic of Sakha (Yakutia) over the period of the implementation of major projects in the field of health. The development and implementation of a three-level system of medical care for pregnant women and mothers in the Republic of Sakha (Yakutia) was the key to the reducing this index.

EFEKTIFITAS KONSELING LAKTASI PADA IBU HAMIL TRIMESTER III TERHADAP PELAKSANAAN MENYUSUI

2019 ◽  
Vol 11 (1) ◽  
pp. 41-50
Author(s):  
Heni Purwaningsih ◽  
Umi Aniroh ◽  
Eko Mardiyaningsih
Keyword(s):  
Mortality Rate ◽  
Pregnant Women ◽  
Body Position ◽  
Development Program ◽  
Optimal Growth ◽  
Infant Mortality Rate ◽  
P Value ◽  
Time Data ◽  
Emotional Bonding ◽  
Post Test

Program pembangunan kesehatan di Indonesia masih berfokus pada upaya peningkatan derajat kesehatan ibu dan anak terutama pada masa prenatal. Hal ini disebabkan masih tingginya Angka Kematian Ibu (AKI) dan Angka Kematian Bayi (AKB). ASI yang diberikan sejak usia dini dan dilanjutkan dengan ASI eksklusif selama 6 bulan dapat menurunkan angka kesakitan dan angka kematian bayi serta meningkatkan tumbuh kembang bayi secara optimal.  Penelitian ini bertujuan untuk mengetahui efektifitas pemberian konseling laktasi terhadap pelaksanaan menyusui pada ibu hamil trimester III. Desain penelitian menggunakan quasi eksperimen dengan rancangan One Group Pre-test dan  Post-test Desain. Populasi dalam penelitian ini adalah ibu hamil trimester III dan sampel yang diambil adalah 18 ibu hamil. Alat penggumpulan data menggunakan lembar observasi BREAST (body position, respons, emotional bonding, anatomy dan sucking time). Analisis data menggunakan wilcoxon.Hasil penelitian didapatkan pelaksanaan menyusui sebelum dilakukan konseling laktasi dalam kategori kurang (72,2%) sedangkan pelaksanaan menyusui setelah dilakukan konseling laktasi (77,8%) dalam kategori baik. Konseling laktasi efektif dilakukan untuk meningkatkan pelaksanaan menyusui denganp-value 0,003 (p<0,005).Konseling laktasi seharusnya diberikan pada masa prenatal sehingga pada saat postpartum, ibu sudah mampu memberikan asi secara maksimal. Pendampingan terhadap ibu hamil juga berperan dalam pelaksanaan pemberian ASI.   Kata kunci : Konseling laktasi, ASI, pelaksanaan menyusui   THE EFFECTIVENESS OF LACTATION COUNSELING IN THE 3rd TRIMESTER PREGNANT WOMEN ON BREASTFEEDING IMPLEMENTATION   ABSTRACT Indonesia's health development program still focuses on improving mother and child health, especially at the prenatal stage. It is due to the high maternal mortality rate (MMR) and Infant Mortality Rate (IMR). Breastmilk given from an early age and continued with exclusive breastfeeding for six months can reduce infants morbidity and mortality rate and increase their optimal growth. The purpose is to investigate the effectiveness of lactation counseling to the implementation of breastfeeding in third-trimester. The study design used quasi experiments with one group pre-test and post-test. Population was the 3rd-trimester pregnant mothers, and the samples were 18 mothers. The data collection tool used BREAST observation sheets (body position, response, emotional bonding, anatomy and sucking time). Data analysis used Wilcoxon. The result of the research shows that breastfeeding before lactation counseling is in less category (72,2%) while breastfeeding after lactation counseling (77,8%) is in a goodcategory. Effective lactation counseling is performed to improve the implementation of breastfeeding with p-value 0.003 (p <0.005). Lactation counseling should be given during the prenatal period so that at the time of postpartum, the mother has been able to give breastmilk maximally. Mentoring for pregnant women also plays a role in the implementation of breastfeeding Keywords: lactation counseling, breast milk, breastfeeding implementation

Perbandingan Linieritas Dalam Pendeteksian Faktor-Faktor Yang Mempengaruhi Angka Kematian Bayi Di Provinsi Aceh

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Desfira Ahya ◽  
Inas Salsabila ◽  
Miftahuddin
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Linear Model ◽  
Health Workers ◽  
Additive Model ◽  
Infant Mortality Rate ◽  
Mortality Data ◽  
Important Indicator ◽  
Penalized Spline ◽  
Aceh Province

Angka Kematian Bayi/ Infant Mortality Rate (IMR) merupakan indikator penting dalam mengukur keberhasilan pengembangan kesehatan. Nilai IMR juga dapat digunakan untuk mengetahui tingkat kesehatan ibu, kondisi kesehatan lingkungan dan secara umum, tingkat pengembangan sosio-ekonomi masyarakat. Penelitian ini bertujuan untuk memperoleh model IMR terbaik menggunakan tiga pendekatan: Model Linear, Model Linear Tergeneralisir dan Model Aditif Tergeneralisir dengan basis P-spline. Sebagai tambahan, berdasarkan model tersebut akan terlihat variabel yang mempengaruhi tingkat kematian bayi di provinsi Aceh. Penelitian ini menggunakan data jumlah kematian bayi di tahun 2013-2015. Data dalam penelitian ini diperoleh dari Profil Kesehatan Aceh. Hasil menunjukkan bahwa model terbaik dalam menjelaskan angka kematian bayi di provinsi Aceh tahun 2013-2015 ialah Model Linear Tergeneralisir dengan basis P-spline menggunakan parameter penghalusan 100 dan titik knots 8. Faktor yang sangat mempengaruhi angka kematian ialah jumlah pekerja yang sehat.   Infant mortality rate (IMR) is an important indicator in measuring the success of health development. IMR also can be used to knowing the level of maternal health, environmental health conditions and generally the level of socio-economic development in community. This research aims to get the best model of infant mortality data using three approaches: Linear Model, Generalized Linear Model and Generalized Additive Model with Penalized Spline (P-spline) base. In addition, based on the model can be seen the variables that affect to infant mortality in Aceh Province. This research uses data number of infant mortality in Aceh Province period 2013-2015. The data in this research were obtained from Aceh’s Health Profile. The results show that the best model can be explain infant mortality rate in Aceh Province period 2013-2015 is GAM model with P-spline base using smoothing parameter 100 and knots 8. Factor that high effect to infant mortality is number of health workers.

Empirical analysis of factors influencing the public health expenditure in Malaysia

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Kok Wooi Yap ◽  
Doris Padmini Selvaratnam
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Price Index ◽  
Infant Mortality Rate ◽  
Public Health Expenditure ◽  
The Public ◽  
Empirical Results ◽  
Per Capita

This study aims to investigate the determinants of public health expenditure in Malaysia. An Autoregressive Distributed Lag (ARDL) approach proposed by Pesaran & Shin (1999) and Pesaran et al. (2001) is applied to analyse annual time series data during the period from 1970 to 2017. The study focused on four explanatory variables, namely per capita gross domestic product (GDP), healthcare price index, population aged 65 years and above, as well as infant mortality rate. The bounds test results showed that the public health expenditure and its determinants are cointegrated. The empirical results revealed that the elasticity of government health expenditure with respect to national income is less than unity, indicating that public health expenditure in Malaysia is a necessity good and thus the Wagner’s law does not exist to explain the relationship between public health expenditure and economic growth in Malaysia. In the long run, per capita GDP, healthcare price index, population aged more than 65 years, and infant mortality rate are the important variables in explaining the behaviour of public health expenditure in Malaysia. The empirical results also prove that infant mortality rate is significant in influencing public health spending in the short run. It is noted that macroeconomic and health status factors assume an important role in determining the public health expenditure in Malaysia and thus government policies and strategies should be made by taking into account of these aspects.

Measuring Effectiveness Of Economic Growth On Reducing Infant Mortality Rate In Tamilnadu

2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER
Keyword(s):  
Economic Growth ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Negative Relationship ◽  
Infant Mortality Rate ◽  
Domestic Product ◽  
Per Capita ◽  
The Impact ◽  
Adf Test ◽  
Bound Test

                   This paper deals with economic growth and infant mortality rate in Tamilnadu. The objects of this paper are to test the relationship between Per capita Net State Domestic Product and infant mortality rate and also to measure the impact of Per capita Net State Domestic Product on infant mortality rate in Tamil Nadu. This analysis has employed the ADF test and ARDL approach. The result of the study shows that IMR got reduced and Per capita Net State Domestic Product increased during the study period. This analysis also revealed that there is a negative relationship between IMR and the economic growth of Tamilnadu. In addition, ARDL bound test result has concluded that per capita Net State Domestic Product of Tamilnadu has long run association with IMR.

FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN KEJADIAN BBLR DI RUMAH SAKIT UMUM DAERAH PALEMBANG BARI TAHUN 2013

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Juliana Widyastuti Wahyuningsih Juliana Widyastuti Wahyuningsih
Keyword(s):  
Birth Weight ◽  
Mortality Rate ◽  
Low Birth Weight ◽  
Random Sampling ◽  
Maternal Age ◽  
Univariate Analysis ◽  
Infant Mortality Rate ◽  
Survey Method ◽  
P Value ◽  
Chi Square

ABSTRACT   Low birth weight (LBW) infants with birth weight is less than 2500 grams, regardless of gestational age. Statistically showed 90 % incidence of LBW obtained in developing countries with a mortality rate 35 times higher tinggi.Di South Sumatra Province Infant Mortality Rate ( IMR ) is 29 per 1,000 live births. In Palembang BARI hospitals incidence of LBW in 2013 amounted to 317 cases . The purpose of this study is to determine is there a relationship between the factors of age, education, and parity with the incidence of Low Birth Weight in Palembang BARI hospitals in 2013. This study used survey method crosss sectional analytic approach. The study population was all women who gave birth and was admitted to hospital obstetrics Palembang BARI installations in 2013 amounted to 901. This research was conducted in February 2014. Samples were taken with a random sampling method sistematic. Analyze data using statistical test Chi - Square. Results of univariate analysis of this study showed that 193 (69.4 %) of the respondents had low birth weight, and 85 (30.6 %) respondents had BBLN. 63 (22.7 %) of respondents with a high risk of maternal age and 215 (77.3 %) of respondents with a low risk of maternal age. 157 (56.5 %) respondents with low education mothers and 121 (43.5 %) of respondents with higher education mothers. 48 (17.3 %) respondents with high parity mothers and 230 (82.7 %) respondents with low parity mothers. So the bivariate analysis showed no significant association between maternal age with the incidence of LBW with P value = 0.035, no significant association between education and the incidence of LBW with P value = 0.006, and no significant relationship between the incidence of low birth weight with parity P value = 0.041. It is recommended for health care workers (midwives) hospital in order to be used as material information regarding the occurrence of LBW and as an input as well as the evaluation of success in good health or when needed to do counseling and care of LBW, especially to mothers who give birth to low birth weight baby.   ABSTRAK Berat badan lahir rendah (BBLR) adalah bayi dengan berat lahir kurang dari 2500 gram tanpa memandang masa gestasi. Secara statistik menunjukkan 90% kejadian BBLR didapatkan di negara berkembang dengan angka kematiannya 35 kali lebih tinggi.Di Propinsi Sumatera Selatan Angka Kematian Bayi (AKB) sebesar 29 per 1.000 kelahiran hidup. Di RSUD Palembang BARI Tahun 2013 angka kejadian BBLR berjumlah 317 kasus. Tujuan Penelitian ini adalah untuk mengetahui adakah hubungan antara faktor umur, pendidikan, dan paritas dengan kejadian Berat Badan Lahir Rendah di RSUD Palembang BARI Tahun 2013. Penelitian ini menggunakan metode survey analitik dengan pendekatan crosss sectional. Populasi penelitian ini adalah semua ibu yang melahirkan dan dirawat inap di instalasi kebidanan RSUD Palembang BARI Tahun 2013 berjumlah 901. Penelitian ini dilakukan pada bulan Februari 2014. Sampel penelitian diambil dengan metode sistematic random sampling. Analisa data menggunakan uji statistik Chi – Square. Hasil penelitian analisis univariat ini menunjukkan bahwa 193 (69,4%) responden mengalami BBLR, dan 85 (30,6%) responden mengalami BBLN. 63 (22,7%) responden dengan umur ibu resiko tinggi dan 215 (77,3%) responden dengan umur ibu resiko rendah. 157 (56,5%) responden dengan ibu pendidikan rendah dan 121 (43,5%) responden dengan ibu pendidikan tinggi. 48 (17,3%) reponden dengan ibu paritas tinggi dan 230 (82,7%) responden dengan ibu paritas rendah. Sehingga analisa bivariat menunjukkan ada hubungan yang bermakna antara umur ibu dengan kejadian BBLR dengan P value = 0,035, ada hubungan yang bermakna antara pendidikan dengan kejadian BBLR dengan P value = 0,006 dan ada hubungan yang bermakna antara paritas dengan kejadian BBLR dengan P value = 0,041. Disarankan bagi petugas kesehatan (bidan) rumah sakit agar dapat dijadikan sebagai bahan informasi mengenai terjadinya BBLR dan sebagai bahan masukan serta evaluasi keberhasilan dalam pelayanan kesehatan yang baik atau bila perlu dilakukannya penyuluhan serta asuhan  tentang BBLR khususnya kepada ibu yang melahirkan Bayi dengan BBLR.  

scholarly journals The Role of Place of Delivery in Preventing Neonatal and Infant Mortality Rate in India

Geographies ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 47-62
Author(s):  
Ujjwal Das ◽  
Barkha Chaplot ◽  
Hazi Mohammad Azamathulla
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Neonatal Mortality ◽  
Public Hospitals ◽  
Infant Mortality Rate ◽  
Private Institutions ◽  
Public And Private ◽  
Place Of Delivery ◽  
At Home

Skilled birth attendance and institutional delivery have been advocated for reducing maternal, neonatal mortality and infant mortality (NMR and IMR). This paper examines the role of place of delivery with respect to neo-natal and infant mortality in India using four rounds of the Indian National Family Health Survey conducted in 2015–2016. The place of birth has been categorized as “at home” or “public and private institution.” The role of place of delivery on neo-natal and infant mortality was examined by using multivariate hazard regression models adjusted for clus-tering and relevant maternal, socio-economic, pregnancy and new-born characteristics. There were 141,028 deliveries recorded in public institutions and 54,338 in private institutions. The esti-mated neonatal mortality rate in public and private institutions during this period was 27 and 26 per 1000 live births respectively. The study shows that when the mother delivers child at home, the chances of neonatal mortality risks are higher than the mortality among children born at the health facility centers. Regression analysis also indicates that a professionally qualified provider′s antenatal treatment and assistance greatly decreases the risks of neonatal mortality. The results of the study illustrate the importance of the provision of institutional facilities and proper pregnancy in the prevention of neonatal and infant deaths. To improve the quality of care during and imme-diately after delivery in health facilities, particularly in public hospitals and in rural areas, accel-erated strengthening is required.

scholarly journals Hesitant Fuzzy Linguistic Agglomerative Hierarchical Clustering Algorithm and Its Application in Judicial Practice

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 370
Author(s):  
Shuangsheng Wu ◽  
Jie Lin ◽  
Zhenyu Zhang ◽  
Yushu Yang
Keyword(s):  
Hierarchical Clustering ◽  
Clustering Algorithm ◽  
Clustering Algorithms ◽  
Agglomerative Hierarchical Clustering ◽  
Research Gaps ◽  
Judicial Practice ◽  
Linguistic Term ◽  
Clustering Effect ◽  
Hierarchical Clustering Algorithm ◽  
Fuzzy Linguistic

The fuzzy clustering algorithm has become a research hotspot in many fields because of its better clustering effect and data expression ability. However, little research focuses on the clustering of hesitant fuzzy linguistic term sets (HFLTSs). To fill in the research gaps, we extend the data type of clustering to hesitant fuzzy linguistic information. A kind of hesitant fuzzy linguistic agglomerative hierarchical clustering algorithm is proposed. Furthermore, we propose a hesitant fuzzy linguistic Boole matrix clustering algorithm and compare the two clustering algorithms. The proposed clustering algorithms are applied in the field of judicial execution, which provides decision support for the executive judge to determine the focus of the investigation and the control. A clustering example verifies the clustering algorithm’s effectiveness in the context of hesitant fuzzy linguistic decision information.

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