OPTIMIZING ACCURACY AND TRANSPARENCY IN DRIVING THE BAITUL MAL FUND SYSTEM MECHANISM WITH READY-TO-USE DIGITAL TECHNOLOGY IN PATTANI PROVINCE
Keywords:
Baitul Mal, Application, TransparencyAbstract
Objectives of this research article were: 1. To develop an application for managing the Baitul Mal Fund to increase efficiency, accuracy, and transparency and 2. To enhance the competence of community innovators to have skills in using digital technology to manage the finances of the Baitul Mal Fund to solve the problem of liquidity shortage and improve the quality of life of people in the target community. This study used participatory action research with 5 target communities at Pattani Province. The total sample size consisted of 25 people, with 5 participants per community. The Mosques and Baitul Mal Fund committee used purposive sampling to select the sample. Questionnaires and interviews were used to analyze statistical data on user satisfaction with the application from t-values and p-values.
The study revealed that the researchers successfully developed an application for managing the Baitul Mal fund across five target areas. The system consisted of two main components which were an application-based income and expenditure recording system to facilitate the fund committee in managing financial data, and a web-based information presentation system that allowed the public to access and review the income and expenditure records of mosques, thereby promoting transparency and accountability. The result of the competency training was found that after training the use of the application, the samples had developed knowledge and skills related to the management of the Baitul Mal Fund in all aspects, especially the skills of using digital technology, which increased from 2.25 to 4.25, data management and analysis from 1.95 to 3.90, and the selection of data visualization tools from 1.85 to 4.41. Before the training, the sample group had a relatively low level of skills in data analysis and the use of digital technology. However, after the training, the average of such skills increased significantly. The t-value was 7.02, and the p-value was less than 0.05, indicating that these skills had increased considerably.
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