Aplikasi Perhitungan Kebutuhan Zat Gizi Pada Penyakit Diabetes Berbasis Android

Diabetes is a chronic disease that happens when the pancreas doesn’t produce enough insulin and is a degenerative disease that many suffered by modern people with unhealthy diets. The calculations for the nutritional intake of patients with diabetes mellitus are still using manual calculations. so that the process of calculating the nutritional intake of every patient with diabetes mellitus takes a long time. while based on a survey of patients with diabetes mellitus by Indonesia Health Department there are 8.4 million patients every years. In this study will be develop a system to calculate the nutritional intake of patients with diabetes mellitus based by android at PandanArang Boyolali Hospital. Android is a platform that has become one of the most popular operating system with millions of new users every year. The development of this system using PERKENI basic calculation formula that is used to calculate nutritional needs for specific patients with diabetes mellitus, and the test results showed that 87 % of respondents from the ranks of nutritionists responded well and the application is proven to facilitate the work of dietitians in calculating the nutritional intake of patients with diabetes mellitus

PENGARUH BARISTA TERHADAP SUASANA COFFEE SHOP MELALUI VARIABEL PRODUK

Consumers in this third marketing era want quality product conditions and a pleasant coffee shop atmosphere. The barista can create both of these conditions. This study aims to analyze the barista's influence on the coffee shop's atmosphere through product variables in the city of Cirebon. The research design was quantitative with a survey method, and the research location was determined deliberately, namely in the town of Cirebon, because there are many modern coffee shops in this city. The research population is coffee shop consumers in Cirebon City, whose number is unknown, so the sample size is determined based on a loading factor of 0.5, namely 120 respondents. The indicator measurement of each variable is a loading factor, using a Likert Scale and data analysis with the Structural Equation Modeling instrument. The study results concluded that the barista influences the atmosphere of the coffee shop through product variables in the city of Cirebon. The most dominant indicator for the barista variable is friendliness (0.84), for the coffee shop atmosphere variable, namely coffee shops and online marketing (0.75 each) and the product variable, the aroma of coffee drinks (0.75). To win the competition, it is recommended that coffee shop business actors improve the quality of these most dominant indicators