Micro, small and medium enterprises (UMKM) is one of the important aspects to support improvement economy in Indonesia. Zee Mart’s business UMKM shop Pematang Siantar City with sales purchase transaction activities for supplies. The purpose this study predict Mart store goods coming month using adaptive response rate single exponential smoothing (ARRSES) method. ARRSES a method advantage having...

Neural networks offer an alternative to regression analysis for biological growth modeling. Very little research has been conducted to model animal growth using artificial neural networks. Twenty-five male chicks (Ross x Ross 308) were raised in an environmental chamber. Body weights were determined daily and feed and water were provided ad libitum. The birds were fed a starter diet (23% CP and...

OBJECTIVES The aim of this study was to determine long-term results between bioprosthetic (BP) and mechanical (MP) aortic valves in middle-aged patients. BACKGROUND It has not been established which is the best aortic valve substitute in patients ages 55 to 70 years. We conducted a randomized study to compare long-term outcomes between BP and MP aortic valves. METHODS Between January 1995 a...

Intensive care units (ICUs) are increasingly interested in assessing and improving their performance. ICU Length of Stay (LoS) could be seen as an indicator for efficiency of care. However, little consensus exists on which prognostic method should be used to adjust ICU LoS for case-mix factors. This study compared the performance of different regression models when predicting ICU LoS. We includ...

Service robotics involves the design of robots that work in a dynamic and very open environment, usually shared with people. In this scenario, it is difficult for decision-making processes to be completely closed at time, necessary define certain variability will runtime. MAPE-K (Monitor–Analyze–Plan–Execute over Knowledge) loops are popular scheme address real-time self-adaptation. As stated t...

All the imputation techniques proposed so far in literature for data imputation are offline techniques as they require a number of iterations to learn the characteristics of data during training and they also consume a lot of computational time. Hence, these techniques are not suitable for applications that require the imputation to be performed on demand and near real-time. The paper proposes ...

OBJECTIVES We evaluate and compare manually collected paper records against electronic records for monitoring the weights of children under the age of 5. SETTING Data were collected by 24 community health workers (CHWs) in 2 Rwandan communities, 1 urban and 1 rural. PARTICIPANTS The same CHWs collected paper and electronic records. Paper data contain weight and age for 320 boys and 380 girl...

BACKGROUND China is a country that is most seriously affected by hemorrhagic fever with renal syndrome (HFRS) with 90% of HFRS cases reported globally. At present, HFRS is getting worse with increasing cases and natural foci in China. Therefore, there is an urgent need for monitoring and predicting HFRS incidence to make the control of HFRS more effective. In this study, we applied a stochastic...

In this paper, an Adaptive-Network-based Fuzzy Inference System (ANFIS) is used for forecasting of natural gas consumption. It is clear that natural gas consumption prediction for future, surly can help Statesmen to decide more certain. There are many variables which effect on gas consumption but two variables that named Gross Domestic Product (GDP) and population, are selected as two input var...