International Journal of Academic Research in Business and Social Sciences

search-icon

Strategies to Improve National Poverty Data Bank Ekasih Registration Process at State Development Office of Johor

Open access
This study focuses on improving the existing work process for eKasih registration at the State Development Office of Johor (SDOJ). SDOJ is a department under the Implementation Coordination Unit (ICU), Prime Minister's Department's acts as custodian for the National Poverty Database, the eKasih System. One of the issues encountered in the registration process is that the data of the targeted household is not updated, mainly due to geographical issues and commitment by the household. An in-depth interview and focus group discussion (FGD) were conducted with the top management, middle managers, and operational level (enumerators) to identify issues in the organization. As a result, this research proposes a computer-assisted self-interview (CASI) using Quick Response (QR) code as a medium for the data updating process. The research methodology for this research is mixed methods, qualitative and quantitative. This research has reduced 5.6% of non-updated data in the targeted population during the first cycle interim period, which contributes to better decision-making by policymakers and relevant agencies. Successful registration of the targeted household will potentially benefit from the social assistance or aid provided by the government. In addition, the organization has benefited from operational cost savings of up to 56.4% in terms of the enumerator’s mileage claim.
Brown, J. L., Vanable, P. A., & Eriksen, M. D. (2008). Computer-assisted self-interviews: A cost effectiveness analysis (Vol. 40, Issue 1). Gunther.
Daher, W., Ashour, W., & Hamdan, R. (2022). The Role of ICT Centers in the Management of Distance Education in Palestinian Universities during Emergency Education. Education Sciences, 12(8). https://doi.org/10.3390/educsci12080542
Guirao, B., García, A., López, M. E., Acha, C., & Comendador, J. (2015). New QR survey methodologies to analyze user perception of service quality in public transport: The experience of madrid. Journal of Public Transportation, 18(3). https://doi.org/10.5038/2375-0901.18.3.5
Guzman-Tordecilla, D. N., Vecino-Ortiz, A. I., Torres-Quintero, A., Solorzano-Barrera, C., Ali, J., Peñaloza-Quintero, R. E., Ahmed, S., Pariyo, G. W., Maniar, V., & Gibson, D. G. (2023). Examination of the demographic representativeness of a cross-sectional mobile phone survey in collecting health data in Colombia using random digit dialling. BMJ Open, 13(6). https://doi.org/10.1136/bmjopen-2023-073647
Heinritz, F., Will, G., & Gentile, R. (2022). Surveying Illiterate Individuals: Are Audio Files in Computer-Assisted Self-Interviews a Useful Supportive Tool? In IMISCOE Research Series. https://doi.org/10.1007/978-3-031-01319-5_6
Hensen, B., Mackworth-Young, C. R. S., Simwinga, M., Abdelmagid, N., Banda, J., Mavodza, C., Doyle, A. M., Bonell, C., & Weiss, H. A. (2021). Remote data collection for public health research in a COVID-19 era: Ethical implications, challenges and opportunities. In Health Policy and Planning (Vol. 36, Issue 3, pp. 360–368). Oxford University Press. https://doi.org/10.1093/heapol/czaa158
Lamanna, C., Hachhethu, K., Chesterman, S., Singhal, G., Mwongela, B., Ngendo, M., Passeri, S., Farhikhtah, A., Kadiyala, S., Bauer, J. M., & Rosenstock, T. S. (2019). Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya. PLoS ONE, 14(1). https://doi.org/10.1371/journal.pone.0210050
Lee, H., Kim, S., Couper, M. P., & Woo, Y. (2019). Experimental Comparison of PC Web, Smartphone Web, and Telephone Surveys in the New Technology Era. Social Science Computer Review, 37(2), 234–247. https://doi.org/10.1177/0894439318756867
Marzo, R. R., Chen, H. W. J., Abid, K., Chauhan, S., Kaggwa, M. M., Essar, M. Y., Jayaram, J., Changmai, M. C., Wahab, M. K. bin A., Ariffin, I. A. B., Alwi, M. N. B. M., Head, M. G., & Lin, Y. (2022). Adapted digital health literacy and health information seeking behavior among lower income groups in Malaysia during the COVID-19 pandemic. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.998272
Nair, P. L. (2013). Population and Housing Census Malaysia 2010 New Approaches And Technological Advancements. In MATEMATIKA (Vol. 29).
Song, C., Kakuta, Y., Negoro, K., Moroi, R., Masamune, A., Sasaki, E., Nakamura, N., & Nakayama, M. (2023). Collection of patient-generated health data with a mobile application and transfer to hospital information system via QR codes. Computer Methods and Programs in Biomedicine Update, 3. https://doi.org/10.1016/j.cmpbup.2023.100099
The World Bank. (2 August, 2023). Poverty and Inequality. Retrieved from The World Bank: https://datatopics.worldbank.org/world-development-indicators/themes/poverty-and-inequality.html
Tijani, B., Jaiyeola, T., Oladejo, B., & Kassam, Z. (2021). Improving Data Integrity in Public Health: A Case Study of an Outbreak Management System in Nigeria. Global Health Science and Practice, 9. https://doi.org/10.9745/GHSP-D-21-00240
Tilahun, H., Abate, B., Belay, H., Gebeyehu, A., Ahmed, M., Simanesew, A., Ayele, W., Mohammedsanni, A., Knittel, B., & Wondarad, Y. (2022). Drivers and Barriers to Improved Data Quality and Data-Use Practices: An Interpretative Qualitative Study in Addis Ababa, Ethiopia. Global Health Science and Practice, 10. https://doi.org/10.9745/GHSP-D-21-00689
Vielma Orozco, E. (2023). Use of new technologies and evidence-based decisions: key factors in the strategy for the 2020 Population and Housing Census in Mexico in the context of the COVID-19 pandemic. Wiadomo?ci Statystyczne. The Polish Statistician, 2023(6), 47–66. https://doi.org/10.59139/ws.2023.06.3
Zeleke, A. A., Naziyok, T., Fritz, F., & Röhrig, R. (2019). Data quality and cost-effectiveness analyses of electronic and paper-based interviewer-administered public health surveys: Protocol for a systematic review. JMIR Research Protocols, 8(1). https://doi.org/10.2196/10678
Adnan, A. L., & Kelana, B. W. Y. (2024). Strategies to Improve National Poverty Data Bank Ekasih Registration Process at State Development Office of Johor. International Journal of Academic Research in Business and Social Sciences, 14(10), 3229–3262.