BACKGROUND Tuberculosis (TB) is a deadly infectious disease caused by Mycobacteria tuberculosis. Tuberculosis as a chronic and highly infectious disease is prevalent in almost every part of the globe. More than 95% of TB mortality occurs in low/middle income countries. In 2014, approximately 10 million people were diagnosed with active TB and two million died from the disease. In this study, ou...

Background Hand-foot-and-mouth disease_(HFMD) is one of the most typical diseases in children that associated with high morbidity. Reliable forecasting crucial for prevention and control. Recently, hybrid models have become popular, wavelet analysis has been widely performed. Better prediction accuracy may be achieved using wavelet-based models. Thus, our aim to forecast number HFMD cases Mater...

AbstrakYogyakarta sebagai kota pelajar, pariwisata ataupun budaya sangatlah ramai aktifitas ekonominya karena banyak sekolah, universitas, tempat wisata dan juga yang tentunya mahasiswa, wisatawan dalam negeri maupun luar berkunjung ke tersebut. Aktifitas mahasiswa di Yogyakarta ini bisa meningkatkan perekonomian seperti kost, penginapan atau hotel serta tidak ketinggalan makan, belanja lain se...

This study focuses on the novel forecasting method (SutteARIMA) and its application in predicting Infant Mortality Rate data Indonesia. It undertakes a comparison of most popular widely used four methods: ARIMA, Neural Networks Time Series (NNAR), Holt-Winters, SutteARIMA. The were obtained from website World Bank. consisted annual infant mortality rate (per 1000 live births) 1991 to 2019. To d...

Abstract This study assessed the protective effect of citrus flavanone, naringin (Nar), and its nanoformulation against di(2-ethylhexyl)phthalate (DEHP) toxicity in albino rats. Keeping green nanotechnology as cornerstone, nanoparticles Nar were synthesized characterized using electron microscopy (transmission scanning microscopy), particle size distribution, Fourier transform infrared spectros...

Nha Trang Coast is located in the South Central Vietnam and coastal erosion has occurred rapidly recent years. Hence it crucial to accurately monitor shoreline changes for better management reduction of risks communities. In this paper, we explored a statistical forecasting model, Seasonal Auto-regressive Integrated Moving Average (SARIMA), two Machine Learning (ML) models, Neural Network Auto-...

In general, studies on short-term hourly electricity load modeling and forecasting do not investigate in detail the sources of uncertainty forecasting. This study aims to evaluate impact benefits applying bootstrap aggregation overcoming time series forecasting, thereby increasing accuracy multistep ahead point forecasts. We implemented existing proposed clustering-based bootstrapping methods g...