LAUSR

OBJECTIVE To design an application that detects health deterioration in elderly (System for Health Aging Instrument Automation) Shinta's Early Deterioration Detection (SEDD) by using Fuzzy Logic Algorithm (FLA) for smartphone and android. METHOD The study design was experimental with simple random sampling method involving 130 data. Fuzzification, inference, and defuzzification are a process to formulate a mapping of independent variables processed into a groundwork, which decides dependent variables (output) by using fuzzy logic. RESULTS Prototype or android-based Shinta's Early Deterioration Detection model facilitates detection of health deterioration in older people who are admitted in hospital in Indonesia with accuracy value α 96.85% and effectiveness value β 36.5s. CONCLUSION SEDD is able to evaluate health deterioration in elderly patient at the moment of admission in ward. Nurse may make a clinical decision immediately. It may reduce the risk for disability and mortality as well.