Main Article Content

Abstract

Main Purpose - This study examines how the Rapor MBG platform reshapes accountability within Indonesia’s Free Nutritious Meal Program.
Method - Using a qualitative case study at the Manggala Kitchen in South Sulawesi, data were gathered through application observations, document analysis, and interviews. Informants comprised fifteen stakeholders, including regional coordinators, financial verifiers, school coordinators, and grassroots kitchen managers.
Main Findings - The findings reveal that accountability is heavily driven by rigid metrics, specifically automated budget-caps, midnight photo-upload deadlines, and fixed cost-per-portion calculations. Although this standardizes central audit readiness, fieldwork shows it forces local operators to artificially adjust manual vendor invoices and lower food quality to prevent automated funding freezes. Consequently, the system creates a symbolic dashboard that successfully satisfies bureaucratic oversight but systematically marginalizes qualitative nutritional outcomes and local operational flexibility.
Theory and Practical Implications - This study proves that digital accounting infrastructures act as constitutive forces that dictate organizational behavior rather than serving as neutral reporting tools. Practically, system designers must replace rigid drop-down menus with dynamic local pricing matrices and integrate digital beneficiary feedback loops to protect operational survival.
Novelty - Unlike prior studies focusing on general policy effectiveness, this research uniquely uncovers how digital accounting software actively constructs and constrains micro-level accountability realities.

Keywords

digital accountability public nutrition program public sector accounting rapor MBG system

Article Details

Author Biographies

Andi Nurul Tenriwali Hasanuddin, Universitas Negeri Makassar

Accounting Department, State University of Makassar, South Sulawesi, Indonesia

Andi Shahifah Muthahharah, The University of New South Wales

Data Science & Decisions, Faculty of Science, The University of New South Wales, Sydney, Australia.