DEVELOPMENT BIG DATA BASE FOR EFFECTIVENESS ENHANCEMENT OF THE HIGHWAY DEPARTMENT

Abstract

The objectives of this research article were: 1. To study the big data base application, 2. To study factors affecting the big data application and 3. Present a Model of big data application for effectiveness enhancement of the Department of Highways, applying the mixed research methods. The quantitative research, data were collected from 430 and analyzed by frequency, percentage, mean, standard deviation and survey factor analysis and structural equation model. Descriptive statistics were used to analyze correlation coefficients with a high level statistics program to examine the consistency of the model and to analyze the effect sizes of direct and indirect variables. The qualitative research, data were collected from 17 key informants, structured-in-depth-interview script by face-to-face interviewing and from 10 participants in focus group discussion. Findings were as follows:1. Big data base was used for effectiveness enhancement of the Department of Highways by using raw data collected from the operation to be used as big data. Since data within the big data were collected in retrograde but updating data of roads users to be more present.   2. Factors that affected the big data base application for the effectiveness enhancement of the Department of Highways with the highest scores was iddhipada 4 with the mean value at 3.86, Second factor was the work efficiency with the mean value at 3.67. 3.The model can be used only at the administrative or managerial levels, still not applicable at the operational level due to personnel at the operational level did not have authority to issue rules or policy for change. It was on the personal level and not be able to enforce the organization to utilize the bid data base. The researcher designed the model based on the fact of the big organization such as the Department of Highways that had its own data base.