PENGEMBANGAN PROTOTIPE STOCK OPNAME PERSEDIAAN BERBASIS KAMERA DAN AI PADA SISTEM ERP AKUNTANSI
DOI:
https://doi.org/10.47491/landjournal.v7i2.4753Keywords:
inventory stock opname, accounting information system, artificial intelligenceAbstract
This study aims to develop and evaluate a camera-based and artificial intelligence-driven inventory stock opname prototype and to examine its implications for inventory recording accuracy, data update timeliness, and internal control within corporate accounting systems. The research population consists of all inventory items stored on warehouse racks at a single observation site, while the sample includes inventory units detected by the camera system in selected warehouse areas. A purposive sampling technique was applied based on camera visibility and the representativeness of the observation area. This study adopts an applied research approach with a quantitative-descriptive and experimental design. The methods employed include object detection using the Roboflow RF-DETR model, integration of detection results into an ERP system via a backend API, and comparative analysis between manual stock opname results and the AI-based system. The findings indicate that the implementation of camera- and AI-based stock opname improves inventory recording accuracy, as reflected by the high precision of object detection. Furthermore, integrating detection results into the ERP system enhances the timeliness of inventory data updates compared to periodic manual stock opname. The automated system also generates digital audit trails that strengthen inventory internal control. This study concludes that integrating camera-based AI detection with accounting systems has significant potential to improve inventory data quality and support the reliability of corporate financial reporting.
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