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A Strategic Analysis of Allegro: A Custom Made Supply Chain Management Software Rasjid, Zulfany Erlisa
ComTech: Computer, Mathematics and Engineering Applications Vol 1, No 2 (2010): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v1i2.2616

Abstract

Allegro is a Supply Chain Management software which is used by one of the Buying Agent that has branches all over the world. Allegro is a tailor-made application specially build for the Buying Agent. Allegro thas a lot of capability, however it is not being used optimally. This paper analyszes the software such that it can be used optimally to support the company (Buying Agent) strategically and help the company to perform better by using Balance Score Card and KPI generated by the use of the system. The KPI is derived from the Business Objectives and the data in fact are all available in Allegro which is currently not used. As a conclusion, the writer suggested using all features available from Allegro and hence it will prove the overall performance of the company. 
'DREAMS D': New Matrix Evaluation for Software Architecture Rasjid, Zulfany Erlisa; Aldora, Ivana Yoshe; Piyono, Welly; Yulistiani, Risma; Pranoto, Hady
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 7 No. 2 (2025): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v7i2.13003

Abstract

The microservices software architecture is highly popular and commonly used in developing large-scale systems. Does this mean that microservices are superior, or could older architectures like monolithic be more adaptable to modern developments? The selection of software architecture is crucial to support overall system performance, quality, and user experience. Effective evaluation also plays a significant role in assessing system performance. In this paper, an evaluation matrix model is proposed, called 'DREAMS D,' comprising of seven vital components to test the quality of systems built using specific architectures. The focus is on microservices and monolithic architecture as our sample Software Architectures. The evaluation is conducted through a systematic review, and each architecture is scored based on factors such as Development, Response time, Error handling, Availability, Maintenance, Scalability, and Deployment. The result shows that microservices architecture scores higher in most evaluation criteria, suggesting better suitability for complex and adaptive systems. However, monolithic architecture may still be appropriate for simpler systems due to its lower cost and straightforward integration. This study provides a structured and measurable framework for assisting developers and organizations in making strategic decisions when choosing or transitioning between software architectures. The DREAMS D matrix can be used as a reference model for future evaluations or as a foundation for extending the framework to other architectural paradigms such as serverless or event-driven systems.