scholarly journals SISTEM INFORMASI GEOGRAFIS PEMETAAN FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA KEMATIAN IBU (AKI) DAN ANGKA KEMATIAN BAYI (AKB) DENGAN METODE K-MEANS CLUSTERING (STUDI KASUS: PROVINSI BENGKULU)

2018 ◽  
Vol 10 (1) ◽  
pp. 59-66
Author(s):  
Kevin Bima Aditya ◽  
Yudi Setiawan ◽  
Diyah Puspitaningrum
Keyword(s):  
Mortality Rate ◽  
Service Management ◽  
National Average ◽  
Middle Level ◽  
Infant Mortality Rate ◽  
Important Indicator ◽  
Infant Deaths ◽  
Low Level ◽  
The Difference ◽  
High Level

ABSTRAK Angka Kematian Ibu (AKI) dan Angka Kematian Bayi (AKB) merupakan salah satu indikator penting dalam menilai tingkat derajat kesehatan masyarakat di suatu negara. Berdasarkan data Dinas Kesehatan Provinsi Bengkulu tahun 2012 hingga 2015, AKI dan AKB di Provinsi Bengkulu masih diatas rata-rata nasional. K-Means Clustering merupakan salah satu metode pengelompokan non hirarki yang bertujuan mengelompokkan objek sedemikian hingga jarak-jarak tiap objek ke pusat kelompok di dalam satu kelompok adalah minimum. Penelitian ini bertujuan (1) Merancang dan membangun Sistem Informasi Geografis untuk memetakan angka kematian ibu dan bayi di setiap Kota/Kabupaten di Provinsi Bengkulu menggunakan metode K-Means Clustering, (2) Mengetahui perbedaan dan status pengelompokkan angka kematian ibu dan bayi di setiap Kota/Kabupaten di Provinsi Bengkulu. Hasil penelitian yang diperoleh yaitu (1) Penelitian ini berhasil memetakan angka kematian ibu dan bayi dalam 3 kelompok, yaitu rendah, sedang dan tinggi (2) berhasil menerapkan metode K-Means Clustering (3) Persentasi AKI berdasarkan kota/kabupaten di Provinsi Bengkulu, sebagai berikut: 15% kota/kabupaten berada di tingkat rendah, 65% berada di tingkat sedang dan 20% berada di tingkat tinggi. Sedangkan persentasi AKB-nya 32,5% kota/kabupaten berada di tingkat rendah, 60% berada di tingkat sedang dan 7,5% berada di tingkat tinggi. Secara keseluruhan dapat dikatakan bahwa tingkat AKI/AKB di Provinsi Bengkulu masih belum memuaskan, yaitu < 15% AKI dan < 32,5% AKB..   ABSTRACT Maternal Mortality Rate (MMR) and Infant Mortality Rate (IMR) is one important indicator in assessing the degree of public health in a country. Based on data from Bengkulu Provincial Health Office in 2012 until 2015, MMR and IMR in Bengkulu is still above the national average. K-Means Clustering is one of the non-hierarchical clustering method that aims to group objects so that the distance from the object to the center of each group in the group is the minimum. This study aims to (1) Designing and building a Geographic Information System to map the mortality rate of mothers and babies in each City/Regency in Bengkulu using K-Means Clustering, (2) Know the difference and status grouping of maternal and infant deaths in each city/regency in Bengkulu. The results obtained are: (1) This research has mapped the mortality rate of mothers and infants into three groups: low, medium and high (2) successfully applied the method of K-Means Clustering (3) Percentage of AKI city/regency in Bengkulu, as follows: 15% city/regency is at a low level, 65% were in the middle level and 20% are at a high level. While his AKB percentage 32.5% city/regency is at a low level, 60% were in the moderate and 7.5% were at high levels. Overall it can be said that the rate of MMR / IMR in Bengkulu Province is not too satisfied in term of healty service management that is < 15% MMR  and < 32.5% IMR. How to Cite : Aditya, K.B. Setiawan, Y. Puspitaningrum, D. (2017). SISTEM INFORMASI GEOGRAFIS PEMETAAN FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA KEMATIAN IBU (AKI) DAN ANGKA KEMATIAN BAYI (AKB) DENGAN METODE K-MEANS CLUSTERING (STUDI KASUS: PROVINSI BENGKULU). Jurnal Teknik Informatika, 10(1), 59-66. doi:10.15408/jti.v10i1.6817Permalink/DOI: http://dx.doi.org/10.15408/jti.v10i1.6817

Mortality Rate of Japanese Twins and Triplets III. Infant Deaths of Triplets After Birth to One Year of Age

1981 ◽  
Vol 30 (4) ◽  
pp. 281-284 ◽  
Author(s):  
Yoko Imaizumi ◽  
Eiji Inouye ◽  
Akio Asaka
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Gestational Age ◽  
Infant Mortality Rate ◽  
Infant Deaths ◽  
The Third ◽  
Monthly Expenditure ◽  
Males And Females ◽  
The Difference ◽  
One Year

The rate of infant mortality of triplet individuals (deaths under one year of age) was computed using 34 sets of triplets born in the first half of 1974. The rates were 8.82%, 9.68%, and 10.34% for the first-, second-, and the third-born triplets, respectively. For males and females the rates were 8.33% and 10.34%, respectively, and the difference was not significant. The rate decreased with gestational age up to 32-35 weeks. For those with heavier weight at birth (≤2,000 g) the rate was lower (0%) than for those with lighter weight (<2,000 g, 8.16%), but the difference is not significant (P = 0.087). Infant mortality rate of triplets decreased with increased monthly expenditure of the household.

Mortality Rate of Japanese Twins and Triplets II. Socioeconomic Factors Influencing Infant Deaths of Twins After Birth to One Year of Age

1981 ◽  
Vol 30 (4) ◽  
pp. 275-280 ◽  
Author(s):  
Yoko Imaizumi ◽  
Eiji Inouye ◽  
Akio Asaka
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Socioeconomic Factors ◽  
Infant Mortality Rate ◽  
Paid Work ◽  
Infant Deaths ◽  
Monthly Expenditure ◽  
The Difference ◽  
One Year ◽  
Mz Twins

The rates of infant mortality of twin individuals were 4.38% and 7.76% for mothers healthy and nonhealthy after delivery, respectively, and the difference is significant at the 0.01 level. The lowest infant mortality rate was seen in the mothers with paid work during pregnancy (4.56%), followed by the mothers engaged only in housekeeping (4.72%) and by those self-employed during the pregnancy (4.99%). Infant mortality rate for MZ twins decreased with increased monthly expenditure of the household, whereas the rate for DZ twins remained constant with expenditure. Socioeconomic factors still affect the infant mortality of twins, and the infant mortality rate can be improved.

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.

scholarly journals Static Profiling of Assembly Code Performance and Optimization Effectiveness using Instructions Performed and Program Latency

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1463-1468
Keyword(s):  
Assembly Language ◽  
Optimization Method ◽  
Program Optimization ◽  
Low Level ◽  
Code Performance ◽  
Execution Speed ◽  
The Difference ◽  
And Performance ◽  
High Level ◽  
Optimization And Performance

Software program optimization for improved execution speed can be achieved through modifying the program. Programs are usually written in high level languages then translated into low level assembly language. More coverage of optimization and performance analysis can be performed on low level than high level language. Optimization improvement is measured in the difference in program execution performance. Several methods are available for measuring program performance are classified into static approaches and dynamic approaches. This paper presents an alternative method of more accurately measuring code performance statically than commonly used code analysis metrics. New metrics proposed are designed to expose effectiveness of optimization performed on code, specifically unroll optimizations. An optimization method, loop unroll is used to demonstrate the effectiveness of the increased accuracy of the proposed metric. The results of the study show that measuring Instructions Performed and Instruction Latency is a more accurate static metric than Instruction Count and subsequently those based on it.

scholarly journals The effect of the quality of institutions on the relationship between public health expenditure and the infant mortality rate: evidence from the PVAR (X) and PSTR approaches

2021 ◽  
Vol 1 (1) ◽  
pp. 16-35
Author(s):  
Arthur Evariste KOUASSI ◽  
Ya Assanhoun Guillaume KOUASSI ◽  
Nogbou Andetchi Aubin AMANZOU
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Infant Mortality Rate ◽  
African Countries ◽  
Important Indicator ◽  
Institutional Variables ◽  
Public Health Expenditure ◽  
Sub Saharan

Infant mortality is a major health problem in developing countries. It is an important indicator of a country's public health as it goes hand in hand with socio-economic conditions and many others. Public health spending has been committed to reducing this scourge. This has led to the completion of numerous studies which have yielded mixed results. The main objective of this study is to test the effect of public health expenditure (% GDP) on the infant mortality rate, taking into account the role that institutional quality can play. To achieve this, we use two approaches which are the autoregressive vector panel model with exogenous variables (PVAR (X)) and the smooth threshold regression model (PSTR) on annual data covering the period 2002-2016 and covering 37 African countries. Sub-Saharan. Our main results through the PVAR (X) reveal that in the absence of institutional variables, public health expenditure has a negative and significant effect on the infant mortality rate, whereas, in the presence of the various institutional variables, this effect is still negative but is no longer significant. Our results show that the presence of institutions halves the weight of public health expenditure in explaining the infant mortality rate. In addition, our results show through the PSTR that there is a certain level of institutional qualities that these countries must achieve for public health expenditure to positively affect infant mortality rates. These thresholds oscillate for all the institutional variables around 7%. Taking institutional variables into account will help reduce infant mortality in Sub-Saharan African countries.

THE LEED-COMMERCIAL INTERIORS (V4) PROJECTS IN CALIFORNIA

2021 ◽  
Vol 16 (3) ◽  
pp. 57-72
Author(s):  
Svetlana Pushkar
Keyword(s):  
Green Building ◽  
Nonparametric Tests ◽  
Indoor Environmental Quality ◽  
Positive Correlation ◽  
Low Level ◽  
Impact Reduction ◽  
Environmental Product Declarations ◽  
The Difference ◽  
High Level ◽  
Building Standards

ABSTRACT This study analyzed the Leadership in Energy and Environmental Design for Commercial Interior Certified, Silver, and Gold projects version 4.0 (LEED-CIv4) in California for the period 2015‒2020. Nonparametric tests were used to assess category and credit achievement, i.e., the difference between possible and achieved points and the correlation between associated credits. The results show that most of the credits in the location and transportation category and the indoor environmental quality categories had a high level of achievement, a few credits in the energy and atmosphere and materials and resources categories had a high level of achievement, and all of the credits in the water efficiency category had a low level of achievement. Some associated credits, such as surrounding density and quality transit, had a high level of achievement and a positive correlation, whereas other associated credits, such as life-cycle impact reduction and environmental product declarations, had a low level of achievement and a positive correlation. If LEED-CIv4 credits meet the requirements of the California Green Building Standards Code 2016 (CGBSC 2016), then these credits typically have a medium/high level of achievement. If LEED-CIv4 credits exceed the requirements of CGBSC 2016, then these credits have a low level of achievement. Therefore, to improve the next version of LEED-CI, it is necessary to improve the local green codes.

scholarly journals Smoke-free legislation and neonatal and infant mortality in Brazil: longitudinal quasi-experimental study

2019 ◽  
pp. tobaccocontrol-2019-054923 ◽  
Author(s):  
Thomas Hone ◽  
Andre Salem Szklo ◽  
Filippos T Filippidis ◽  
Anthony A Laverty ◽  
Isabela Sattamini ◽  
...  
Keyword(s):  
Experimental Study ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Neonatal Mortality ◽  
Fixed Effects ◽  
Infant Health ◽  
Infant Mortality Rate ◽  
Infant Deaths ◽  
Quasi Experimental ◽  
Fixed Effects Regression

ObjectiveTo examine the associations of partial and comprehensive smoke-free legislation with neonatal and infant mortality in Brazil using a quasi-experimental study design.DesignMonthly longitudinal (panel) ecological study from January 2000 to December 2016.SettingAll Brazilian municipalities (n=5565).ParticipantsInfant populations.InterventionSmoke-free legislation in effect in each municipality and month. Legislation was encoded as basic (allowing smoking areas), partial (segregated smoking rooms) or comprehensive (no smoking in public buildings). Associations were quantified by immediate step and longer term slope/trend changes in outcomes.Statistical analysesMunicipal-level linear fixed-effects regression models.Main outcomes measuresInfant and neonatal mortality.ResultsImplementation of partial smoke-free legislation was associated with a −3.3 % (95% CI −6.2% to −0.4%) step reduction in the municipal infant mortality rate, but no step change in neonatal mortality. Comprehensive smoke-free legislation implementation was associated with −5.2 % (95% CI −8.3% to −2.1%) and −3.4 % (95% CI −6.7% to −0.1%) step reductions in infant and neonatal mortality, respectively, and a −0.36 (95% CI −0.66 to−0.06) annual decline in the infant mortality rate. We estimated that had all smoke-free legislation introduced since 2004 been comprehensive, an additional 10 091 infant deaths (95% CI 1196 to 21 761) could have been averted.ConclusionsStrengthening smoke-free legislation in Brazil is associated with improvements in infant health outcomes—particularly under comprehensive legislation. Governments should accelerate implementation of comprehensive smoke-free legislation to protect infant health and achieve the United Nation’s Sustainable Development Goal three.

scholarly journals Ecuadorian infant mortality linked to socioeconomic factors during the last 30 years

2019 ◽  
Vol 19 (2) ◽  
pp. 295-301
Author(s):  
Natalia Romero-Sandoval ◽  
Diego Del Alcázar ◽  
Jacob Pastor ◽  
Miguel Martín
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Poisson Regression ◽  
Sociodemographic Factors ◽  
Complex Interaction ◽  
Infant Mortality Rate ◽  
The Difference ◽  
The Impact

Abstract Objectives: to analyze the difference among geographical units and the evolution of infant mortality rate (IMR) based on Ecuadorian censuses (1990-2001-2010). Methods: artificial Neural Network analyzed the impact of sociodemographic factors over the variability of IMR. Poisson regression analyzed the variation of the standardized IMR (sIMR). Results: the decrease in the national IMR was 63.8%; however, 42.8% provinces showed an increase in 2001-2010. The variability was explained mainly by illiteracy decrease. The adjusted RR between provincial sIMR with illiteracy and poverty revealed a trend towards the unit. Conclusions: the variation of IMR reflects a complex interaction of the sociodemographic factors.

Robust Bipedal Locomotion Based on a Hierarchical Control Structure

Robotica ◽  
2019 ◽  
Vol 37 (10) ◽  
pp. 1750-1767 ◽  
Author(s):  
Jianwen Luo ◽  
Yao Su ◽  
Lecheng Ruan ◽  
Ye Zhao ◽  
Donghyun Kim ◽  
...  
Keyword(s):  
Center Of Pressure ◽  
Center Of Mass ◽  
Hierarchical Control ◽  
Middle Level ◽  
Smooth Transition ◽  
Whole Body ◽  
Joint Torques ◽  
Low Level ◽  
Hybrid Controller ◽  
High Level

SummaryTo improve biped locomotion’s robustness to internal and external disturbances, this study proposes a hierarchical structure with three control levels. At the high level, a foothold sequence is generated so that the Center of Mass (CoM) trajectory tracks a planned path. The planning procedure is simplified by selecting the midpoint between two consecutive Center of Pressure (CoP) points as the feature point. At the middle level, a novel robust hybrid controller is devised to drive perturbed system states back to the nominal trajectory within finite cycles without chattering. The novelty lies in that the hybrid controller is not subject to linear CoM dynamic constraints. The hybrid controller consists of two sub-controllers: an oscillation controller and a smoothing controller. For the oscillation controller, the desired CoM height is specified as a sine-shaped function, avoiding a new attractive limit cycle. However, this controller results in the inevitable chattering because of discontinuities. A smoothing controller provides continuous properties and thus can inhibit the chattering problem, but has a smaller region of attraction compared with the oscillation controller. A hybrid controller merges the two controllers for a smooth transition. At the low level, the desired CoM motion is defined as tasks and embedded in a whole body operational space (WBOS) controller to compute the joint torques analytically. The novelty of the low-level controller lies in that within the WBOS framework, CoM motion is not subject to fixed CoM dynamics and thus can be generalized.

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