This research aims to classify the vulnerability of Rabies cases by using the CRISP-DM methodology through the process of business understanding, data understanding, data preparation, modeling, evaluation and deployment. The data that has the same characteristics are grouped in a single cluster then the data with different characteristics are grouped in another cluster. The algorithm used in clustering technique is K-Means algorithm. In this case, the cluster is divided into three clusters. The first cluster is a result of an expenditure that has an area with very vulnerable cases of rabies, the second cluster is an expenditure result that has an area with the vulnerable level of rabies cases, the third cluster is the result of expenditure has areas with no vulnerable cases of rabies.
GIS is one of the tools ease the user for get information based on map images that have been processed. In addition to technical aspects, GIS needs to involve psychological factors and user emotions so as to provide user comfortable. Kansei Engineering is an engineering method that involves psychological factors and user emotions. This research is an initial analysis to evaluate the emotional aspects of GIS users that have high significance and will then be involved in the Kansei Engineering stage in making recommendations for GIS User Interface. The Initial Study involved 80 Participants with a distribution of 40 female and 40 male, 50 Emotions / Kansei Words, 7 Specimens. The method stages are (1) Preparation of Instruments consisting of specimens, Kansei Word and Evaluation Subjects, (2) Evaluation, (3) Analysis using Cronbach's Alpha, Coefficient Correlation Analysis (CCA) and Factor Analysis (FA). The study result 15 emotions / Kansei Words that have significant based on CCA and FA comparison result for GIS Web UI domain that consist of "Accurate"
The increasing number of transportation also increases the number of traffic accidents. It can happen not only in the open road but also in the quiet road so that the bad things can happen to the accident victims. The delays of handling the accidents often occur due to the delay information that received by the police or the nearest hospital. This is due to the information that obtained by local people and forwarded to the authorities is slow. Therefore a system that can monitor the vehicle remotely will be needed nowdays. By building an accident monitoring system using the Intelligent Transport System (ITS), it is hoped that it can monitor the vehicle and through Android can directly check the coordinates of the vehicle and the condition of the vehicle. In the design of the accident monitoring system tool using the SVM (Support Vector Machine) method. Testing this tool uses hardware consisting of Rasberry PI 3, Arduino Uno, Sensor FC04, Accelerometer 6050, Vibration Shock Sensor, Camera Pi Noir, panic button, GPS and Android Application as an interface with the user. The results of this research show that the tool made has a percentage of delays between 1 to 5 seconds, all data from the accident monitoring system tool is directly sent to the Android application in real time based on the internet network speed connection
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.