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INTRODUCTION: Indonesia is one country that particularly experiences disasters, especially natural disasters. AIM: The current research was carried out aiming to determine the effect of knowledge and skills of hospitals staff on the hospital alertness and security in encountering earthquake. METHODS: This study applied an analytical survey method involving 184 health workers from three major hospitals in Palu City, Indonesia. In this case, data were collected through interviews and questionnaires which were then analyzed using the t-test and f-test to determine the partial and simultaneous effect of the independent on the dependent variable. RESULTS: Based on the analysis of the data collected from 184 questionnaires involving voluntary, contracted, and civil servant health workers, it was revealed that the knowledge of health workers significantly affected the effectiveness of preparedness and security for hospitals in encountering multiple disasters in Palu City with p < 0.01 and T value of 3.467 > T table value 2.60326. Meanwhile, the health workers’ skills on the effectiveness of preparedness and security in hospitals facing multiple disasters in Palu City obtained p < 0.00 and a T value of 4.771 > T table value 2.60326. Meanwhile, the effect of knowledge and skills of health workers simultaneously and significantly affected the effectiveness of preparedness and security of the hospitals in encountering multiple disasters with an F value of 47.459 > F table value 3.89. CONCLUSION: The findings revealed in the current research provided useful basic information indicating the need for regular disaster-related education and training programs for emergency health workers so that they can effectively handle disaster situations and carry out their duties confidently and professionally. Such training and education are aimed to improving the health workers’ knowledge and skills so that they can be more alert and prepared when disaster occurs.

Introduction:  This study aims to build an application that can carry out the selection process for prospective recipients of contribution assistance so that it is easier and becomes an alternative choice for the Village Government in determining eligible residents for BPJS Health contribution assistance in Loru Village, Sigi Regency. Methods: This decision support system application is web-based using the Hypertext Prepocessor (PHP) programming language with the Multi Objective Optimization method On The Basis Of The Ratio Analysis (MOORA), using sublime text 3 software and also MySQL as the database. In this study, 444 households were used as data for heads of households. With the system, orders will be carried out objectively and in detail. To determine which residents are truly entitled to receive assistance, this is done by compiling citizen data by considering the value of the MOORA method formula for each of the specified criteria. Result: The results that have been carried out by this author are a solution to determine the recipients of BPJS Health contribution assistance in Loru Village, Sigi Regency, so that the selection process can be more effective in terms of time and operation. Conclutions:  Based on manual calculations as a comparison with the calculation of the system built, the same results were obtained. This shows that the system built can process the selection of potential recipients of contribution assistance. The result of the system process using the MOORA method is the ranking of PBI candidates with the highest rank to the lowest rank.