Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/70131
Title: An Analysis and Design of Frozen Shrimp Traceability System Based on Digital Business Ecosystem
Authors: Djatna, Taufik
Ginantaka, Aditia
Issue Date: Oct-2014
Publisher: Faculty of Computer Science Universitas Indonesia
Abstract: Abstract—Traceability system is one of the most critical requirements in logistic information systems and the supply chain risk management for both global food safety and quality assurance. Real-time documentation from the earlier stages of production process enabled the two way process of traceability. This paper presented an analysis and design for traceability system of frozen Vanname shrimp based on digital business ecosystems (DBE) model. Business Process Model Notation (BPMN 2.0) was the primary tool in analyzing the task for capturing and transferring data processing between traceable units in each layer of DBE. Business process analysis helped to understand the capturing steps as the main element within such traceability system. The results of the analysis showcased how traceability system work in digital business ecosystem which involved on dispersed stakeholders. Manual data transformation to the digital system was provided by stakeholders using digital species metaphors. The requirement for factor analysis was computed with Relief method to select the most important attribute to capture. Our evaluation showed that the proposed system was able for estimating water salinity and related hatchery parameters changing, such as broodstock ID which utilized as key code. Current results showed the readiness of application to transfer into real world operation.
URI: http://repository.ipb.ac.id/handle/123456789/70131
ISBN: 20861796
Appears in Collections:Agroindustrial Technology

Files in This Item:
File Description SizeFormat 
ICACSIS_2014_proceedings - Copy (4).pdf1.2 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.