Ketepatan Sasaran dalam Program Subsidi Pangan: Evaluasi Kualitatif atas Proses Targeting dan Verifikasi Data Rumah Tangga   : Penelitian

Essi Laura Amanda

Authors

Essi Laura Amanda Universitas Negeri Medan

Keywords:

Targeting accuracy, Food subsidies, Data verification, Social targeting, Inclusion and exclusion errors

Abstract

This study aims to assess targeting accuracy in the Food Subsidy Program by analyzing the household data determination and verification process using a qualitative descriptive approach. Targeting accuracy is a crucial issue due to high levels of inclusion and exclusion errors, where non-poor households often receive assistance, while truly poor households are overlooked. The study found that the main problems stem from the quality of outdated social data, a lack of collaboration between agencies, and weaknesses in the inflexible management of the social registry. Furthermore, targeting methods such as the proxy means test (PMT) and community-based targeting also experience technical and social issues that affect the objectivity of the verification process. Field implementation is influenced by officer policies, limited resources, community pressure, and community dynamics, which often create bias in assessing household poverty status. The study findings suggest that improving data collection systems, strengthening social registry integration, increasing transparency in verification, and developing the capacity of field officers are essential steps to reduce targeting errors. Thus, this study provides comprehensive insight into the factors influencing the accuracy of food subsidy recipient determination and provides a basis for future policy improvements.

References

Alatas, V., Banerjee, A., Hanna, R., Olken, B. A., Purnamasari, R., & Wai-Poi, M. (2012). Targeting the poor: Evidence from a field experiment in Indonesia. American Economic Review, 102(4), 1206–1240.

Abay, A.K, dkk. (2024). Targeting Social Assistance in Fragile SettingsAn Experiment on Community-Based Targeting. International Food Policy Research Institute, 1 – 44.

Barr, N. (2020). The economics of the welfare state (6th ed.). Oxford University Press.

Coady, D., Grosh, M., & Hoddinott, J. (2004). Targeting of transfers in developing countries: Review of lessons and experience. World Bank.

Janssen, M., & Van der Voort, H. (2020). Agile and adaptive governance in crisis response: Lessons from the COVID-19 pandemic. Government Information Quarterly, 37(4), 101–107.

Kidd, S., & Athias, D. (2020). Hit and miss: An assessment of targeting effectiveness in social protection. Development Pathways.

Kusumawati, A. (2019). The Effectiveness of Targeting Social Transfer Programs in Indonesia. Ministry of National Development Planning, 3(3), 282 – 297.

Maynard-Moody, S., & Musheno, M. (2015). States of compliance: Street-level workers as regulators. Policy Studies Journal, 43(2), 296–318.

Nunung, A., Latifah, L., Fatmawati, F., & Sulastri, L. (2025). Implementasi kebijakan bantuan sosial untuk menginvestigasi ketidaktepatan sasaran bantuan sosial di Desa Rancaekek Kulon Kabupaten Bandung. Jurnal Administrasi dan Kebijakan Publik, 10(1), 62–82. https://doi.org/10.25077/jakp.10.1.62-82.2025

Pasadilla, G., & Reyes, C. (2019). Community dynamics and social protection targeting. Journal of Asian Public Policy, 12(3), 354–371.

Purbaningrum, D., & Adinugraha, H. H. (2024). Transformasi kebijakan publik: Menyiasati ketidaktepatan sasaran bantuan sosial di Desa Pringsurat untuk kesejahteraan masyarakat yang lebih baik. Jurnal Pembangunan dan Kebijakan Publik, 15(2), 31–44.

World Bank. (2018). The state of social safety nets 2018. World Bank. https://doi.org/10.1596/978-1-4648-1254-5