Evaluation of the Efficiency of the Social Welfare Information System-Next Generation (SIKS-NG) in the Distribution of Social Assistance
DOI:
https://doi.org/10.22437/1gfkbv97Keywords:
capacity building, data accuracy, digital transformation, SIKS-NG, social welfareAbstract
The Social Welfare Information System-Next Generation (SIKS-NG) was introduced to modernize Indonesia’s social assistance programs by addressing issues such as data inaccuracies, delays, and inefficiencies. This study evaluates the efficiency of SIKS-NG, explores key challenges in its implementation, and offers actionable recommendations for improvement. Using qualitative methods, including secondary data analysis of official reports and academic literature, the research highlights that while SIKS-NG has improved data centralization and transparency, challenges like limited digital infrastructure, capacity gaps among administrators, and weak inter-agency coordination persist. To enhance the system’s effectiveness, targeted actions such as investing in infrastructure, building local capacity, and improving data management practices are recommended. The study concludes that with strategic improvements, SIKS-NG can better fulfill its mission of delivering equitable and timely social assistance to those in need.
References
Akbar, M. F., Sakbir, S., Malipi, S., & Sahi, N. A. (2023). Implementation of Social Welfare (DTKS) Integrated Data Program through the Next Generation Social Welfare Information System (SIKS NG). International Journal Papier Public Review, 4(2), 29–41. https://doi.org/10.47667/ijppr.v4i2.214.
Aprilia, M. N. D., & Choiriyah, I. U. (2024). Assessing SIKS-NG for Poverty Data Management in Social Welfare. Indonesian Journal of Public Policy Review, 25(3), 10–21070. https://doi.org/https://doi.org/10.21070/ijppr.v25i3.1409
Barreau, D. (2001). The hidden costs of implementing and maintaining information systems. The Bottom Line: Managing Library Finances, 14, 207–213. https://doi.org/10.1108/08880450110408481
Choi, N. (2021). Analyzing Local Government Capacity and Performance: Implications for Sustainable Development. Sustainability, 13, 3862. https://doi.org/10.3390/su13073862
Choudhary, H., & Bansal, N. (2022). Barriers Affecting the Effectiveness of Digital Literacy Training Programs (DLTPs) for Marginalised Populations: A Systematic Literature Review. Journal of Technical Education and Training, 14, 111–127. https://doi.org/10.30880/jtet.2022.14.01.010
Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications. https://cumming.ucalgary.ca/sites/default/files/teams/82/communications/Creswell%202003%20-%20Research%20Design%20-%20Qualitative%2C%20Quantitative%20and%20Mixed%20Methods.pdf
Darmawan, A. F., & Choiriyah, I. U. (2024). Next Generation Welfare System and E-Government in Banjarbendo Village. Indonesian Journal of Public Policy Review, 25(3), 10–21070. https://doi.org/10.21070/ijppr.v25i3.1407.
Defitri, S. (2022). The role of political will in enhancing e-government: An empirical case in Indonesia. Problems and Perspectives in Management, 20, 69–79. https://doi.org/10.21511/ppm.20(1).2022.07
Drèze, J., & Khera, R. (2017). Recent Social Security Initiatives in India. World Development, 98, 555–572. https://doi.org/https://doi.org/10.1016/j.worlddev.2017.05.035
Dunleavy, P., Margetts, H., Bastow, S., & Tinkler, J. (2006). New Public Management Is Dead — Long Live Digital-Era Governance. Journal of Public Administration Research and Theory, 16. https://doi.org/10.1093/jopart/mui057
Humayun, M., Niazi, M., Jhanjhi, N., Alshayeb, M., & Mahmood, S. (2020). Cyber Security Threats and Vulnerabilities: A Systematic Mapping Study. Arabian Journal for Science and Engineering, 45. https://doi.org/10.1007/s13369-019-04319-2
Hustad, E., & Olsen, D. H. (2021). Creating a sustainable digital infrastructure: The role of service-oriented architecture. Procedia Computer Science, 181, 597–604. https://doi.org/https://doi.org/10.1016/j.procs.2021.01.210
ILO. (2023). Progress Report-INDONESIA. https://www.social-protection.org/gimi/gess/Media.action;jsessionid=tEHz_yjIjRsgbK44HagKF_XTyNwifWJjmuehQc50HrXjrR6gOFx3!1206897467?id=19061
Jakkapattarawong, S. (2024). Cybersecurity Challenges in the Public Sector: Safeguarding Digital Infrastructures and Citizen Data. https://www.academia.edu/122202246/Cybersecurity_Challenges_in_the_Public_Sector_Safeguarding_Digital_Infrastructures_and_Citizen_Data?utm_source=chatgpt.com
Lowy Institute. (2024, July 24). Lessons from Indonesia’s digitised social safety net. Lowy Institute. https://www.lowyinstitute.org/lessons-indonesia-s-digitised-social-safety-net
Mirza Pahlevi, S. (2018). Adaptive social protection in Sri Lanka: Building resilience to disasters and climate change Indonesia’s Unified Database (UDB). https://thedocs.worldbank.org/en/doc/740391538412427316-0310022018/render/5IndonesiaUDBSaidMirzaPahlevi.pdf
Mursyidah, L., & Nofi, N. (2024). Evaluating SIKS-NG’s Performance in Jabon District Social Welfare. Indonesian Journal of Cultural and Community Development, 15(3). https://doi.org/10.21070/ijccd.v15i3.1120
Noer, K. U., & Madewanti, N. L. G. (2020). Too many stages, too little time: bureaucratization and impasse in the social safety net program in Indonesia. Jurnal Studi Pemerintahan, 270–300. https://doi.org/https://doi.org/10.18196/jgp.113120
Nugroho, A., Amir, H., Maududy, I., & Marlina, I. (2021). Poverty eradication programs in Indonesia: Progress, challenges and reforms. Journal of Policy Modeling, 43(6), 1204–1224. https://doi.org/https://doi.org/10.1016/j.jpolmod.2021.05.002
Ohia, D., & Daniel, C. (2024). Advancements and Challenges in Machine Learning and Artificial Intelligence: Shaping the Future of Technology. https://www.researchgate.net/publication/377150546_Advancements_and_Challenges_in_Machine_Learning_and_Artificial_Intelligence_Shaping_the_Future_of_Technology
Platje, J. (2014). Minimizing redundancies and ways to deal with trade-offs in decision making within integrated management systems. In Central Eastern European Journal of Management and Economics (Vol. 2, Issue 2). www.ceejme.euww.wsb.pl/wroclaw/ceejme
Rahmah, A. (2015). Digital Literacy Learning System for Indonesian Citizen. Procedia Computer Science, 72, 94–101. https://doi.org/10.1016/j.procs.2015.12.109
Ravate, S. (2024, December 15). Simplifying Business Data: The Power of Data Centralization . Hevo. https://hevodata.com/learn/data-centralization/
Sarjito, A. (2023). Dampak Digitalisasi Administrasi Perdesaan di Negara Berkembang. JURNAL ILMIAH ILMU ADMINISTRASI, 13(2), 106–124. https://doi.org/10.33592/jiia.v13i2.3814
Soares, F., Ribas, R., & Osorio, R. (2008). Evaluating the Impact of Brazil’s Bolsa Família: Cash Transfer Programs in Comparative Perspective. Latin American Research Review, 45, 173–190. https://doi.org/10.1353/lar.2010.0017
Taherdoost, H. (2022). Blockchain Technology and Artificial Intelligence Together: A Critical Review on Applications. In Applied Sciences (Switzerland) (Vol. 12, Issue 24). MDPI. https://doi.org/10.3390/app122412948
The World Bank. (n.d.). multi_page. Retrieved December 24, 2024, from https://openknowledge.worldbank.org/server/api/core/bitstreams/0c77d4b0-e497-54fe-a344-e7776a2b3e0f/content
TNP2K. (2014). Reaching Indonesia’s Poor and Vulnerable and Reducing Inequality: IMPROVING PROGRAMME TARGETING, DESIGN, AND PROCESSES Includes infographic and video presentation by the TNP2K Executive Secretary OFFICE OF THE VICE PRESIDENT THE REPUBLIC OF INDONESIA. https://www.tnp2k.go.id/download/53581Report_REACHING_April%2010.pdf
TNP2K. (2018). The Future Of The Social Protection System In Indonesia: Social Protection For All The National Team For The Acceleration Of Poverty Reduction Social Protection For All. www.tnp2k.go.id
TNP2K. (2019, January 16). Improving Social Protection System Reduces Poverty and Vulnerability, Promote Economic Growth and Increases Social Cohesion. TNP2K. https://www.tnp2k.go.id/articles/improving-social-protection-system-reduces-poverty-and-vulnerability,-promote-economic-growth-and-increases-social-cohesion
Urbach, N., & Müller, B. (2011). The Updated DeLone and McLean Model of Information Systems Success (Vol. 1, pp. 1–18). https://doi.org/10.1007/978-1-4419-6108-2_1
Velarde, R. B., & Velarde, R. B. (2018). The Philippines’ Targeting System for the Poor: Successes, Lessons, and Ways Forward. World Bank. https://doi.org/10.1596/30972
Verma, M. (2023). Blockchain and AI Convergence: A New Era of Possibilities. 7, 130–138. https://www.ijtsrd.com/papers/ijtsrd59864.pdf
Weber, M. (2009). The theory of social and economic organization. Simon and Schuster. https://www.amazon.com/exec/obidos/ASIN/0684836408?tag=simonsayscom
Whicher, D., Ahmed, M., Siddiqui, S., Adams, I., Grossman, C., & Carman, K. (2020). Health data sharing to support better outcomes. Washington, DC: National Academy of Medicine. https://nam.edu/wp-content/uploads/2020/11/Health-Data-Sharing-to-Support-Better-Outcomes_prepub-final.pdf
World Bank. (2023, May 9). Indonesia Poverty Assessment: Pathways Towards Economic Security. World Bank Group. https://www.worldbank.org/en/country/indonesia/publication/indonesia-poverty-assessment
Yin, R. K. (2018). Case study research and applications. Sage Thousand Oaks, CA. https://www.amazon.com/Case-Study-Research-Applications-Methods/dp/1506336167?utm_source=chatgpt.com