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Diagnosis of autism spectrum disorder (ASD) can use a fuzzy inference system. The use of fuzzy logic method to obtain ASD diagnosis results according to experts based on the limits of factors/symptoms of the disease and all the rules obtained from experts. Recommendations for therapy and preventive actions can be given by experts after knowing the results of the diagnosis of ASD using the fuzzy logic method. This study serves to diagnose ASD by optimizing each degree of membership in the fuzzy logic method with the Mamdani method approach which is involved in the autism detection process involving 96 patient data. The Mamdani method itself can process an uncertain value from the user/patient into a definite value whose membership degree can be determined and adjusted to the conditions of the problem. Optimization was carried out on the degree of membership for all variables involved in the process of diagnosing ASD, namely social interaction, social communication and imagination and behavior patterns. The results of this study indicate a relatively small level of fuzzy calculation error with a precision value of 94.4%, a recall precision value of 65.4% and an error rate value of 3.05%. Calculation of accuracy shows a result of 90.59%.

Empowerment of Family Welfare or often abbreviated as PKK is a movement that has been built from the center to the village and its existence and benefits have been felt by the community. This PKK activity is reflected in the 10 PKK Principal Programs, one of which is focused on health and attention specifically aimed at maternal and child health. So that an Integrated Service Post (Posyandu) was formed consisting of trained Posyandu cadres. These trained Posyandu cadres are not only seen from the way they handle maternal and child health but also must be supported by their ability to use computers in the process of recording and data collection. However, not all PKK and Posyandu Cadres, especially in villages, are adept at using computers, for example, PKK Cadres and Patikraja Village Posyandu. In fact, many cadres are new to computers and cannot use standard programs such as Microsoft PowerPoint and Microsoft Word. The goal of this community service program is to improve the capabilities and competencies of PKK Cadres and Patikraja Village Posyandu in operating computers to support good and smooth performance in terms of administration and data collection. Based on the results of the evaluation it was seen that PKK cadres and the Patikraja Village Posyandu attended the training with great enthusiasm and they were able to practice the material very well.

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There are several types of health services that provide information about health care facilities, such as pharmacies, health centers, clinics, and hospitals. Application of health service facilities location is used to facilitate users in reaching the nearest health service facility. The application of the health care facilities location has not been optimally used by the user so often. The advantage of analyzing the system is to determine its direct and indirect effect on the end-user. This research analyzes task technology fit (TTF) of application for the location of health service facilities based on measures of end-user satisfaction and knowledge management system (KMS). The research began with an exploratory study through interviews with users of health service applications. With the results of interviews, the research hypothesis model was built to integrate health service applications with the task technology fit model based on end-user satisfaction. The results obtained from this study are the impact of the performance of a good application system can increase end-user satisfaction in optimizing all the modules that exist in the application. The intended system performance is the quality of information presented by the application including the location of the health service facility and the accuracy of information needed by the end which affects the compatibility of the health service facility application which significantly increase the end-user satisfaction, and this will automatically affect the TTF performance for the better. This needs to be responded to so that the application continues to be updated in real-time to continue to provide information about the application in accordance with the development and needs of end-users.  This linkage shows that the role of task technology fit has a good impact on system development that affects system relationships and end-user satisfaction in applications.