Rancang Bangun Quality Management System menggunakan Arsitektur Microservices

Putra, Fathin Muhashibi (2025) Rancang Bangun Quality Management System menggunakan Arsitektur Microservices. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Quality Management System (QMS) memiliki peran penting dalam memastikan bahwa produk dan layanan yang dihasilkan memenuhi standar kualitas yang ditetapkan. Namun, QMS sering kali tidak terintegrasi dengan sistem lain yang relevan, seperti Enterprise Resource Planning (ERP), Supplier Relationship Management (SRM), dan Customer Relationship Management (CRM), sehingga data antar sistem terpisah dan menyebabkan ketidakefisienan dalam proses pengelolaan data. Tugas Akhir ini mengembangkan QMS berbasis arsitektur microservices yang terintegrasi dengan sistem ERP, SRM, dan CRM. Sistem dibangun berbasis web dengan melibatkan tiga tipe pengguna yaitu Industry, Supplier, dan Retail menggunakan teknologi Next.js untuk frontend, Express untuk backend, Hugging Face untuk model forecasting, dan Docker untuk deployment. QMS terdiri dari lima modul yaitu Dashboard Quality Management, Relationship Management, KPI Management, Risk Management, dan Data Intelligence Management yang dapat beroperasi secara mandiri. Arsitektur microservices memberikan fleksibilitas dalam pengembangan dan pemeliharaan modul, peningkatan skalabilitas, serta kemudahan dalam melakukan penyesuaian fitur sesuai kebutuhan bisnis. Hasil evaluasi menunjukkan pengujian fungsional melalui uji skenario mencapai keberhasilan 100%, SonarQube menghasilkan status Quality Gate "Passed", dan JMeter membuktikan sistem mampu menangani hingga 1000 pengguna dengan throughput 49,4 requests per second tanpa error. Model forecasting menggunakan TKAN mencapai hasil terbaik pada Raw Material Production dengan 4,51% MAPE. QMS berbasis microservices ini berhasil meningkatkan pengelolaan kualitas secara menyeluruh dengan integrasi data yang efektif antar sistem.
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Quality Management Systems (QMS) play an important role in ensuring that products and services meet the established quality standards. However, QMS are often not integrated with other relevant systems, such as Enterprise Resource Planning (ERP), Supplier Relationship Management (SRM), and Customer Relationship Management (CRM), resulting in data being separated between systems and causing inefficiencies in data management processes. This final project develops a QMS based on microservices architecture integrated with ERP, SRM, and CRM systems. The system is built as a web-based application involving three types of users such as Industry, Supplier, and Retail using Next.js for frontend, Express for backend, Hugging Face for model forecasting, and Docker for deployment. The QMS consists of five modules, which are Dashboard Quality Management, Relationship Management, KPI Management, Risk Management, and Data Intelligence Management, which can operate independently. The microservices architecture provides flexibility in module development and maintenance, scalability improvements, and ease in making feature adjustments according to business needs. Evaluation results show functional testing through scenario testing achieved a 100% success rate, SonarQube generated Quality Gate "Passed" status, and JMeter proved the system can handle 1000 users with a throughput of 49.4 requests per second without errors. The forecasting model using TKAN achieved the best results on Raw Material Production with 4.51% MAPE. This microservices-based QMS successfully improves comprehensive quality management with effective data integration across systems.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Customer Relationship Management, Enterprise Resource Planning, Microservices, Quality Management System, Supplier Relationship Management
Subjects:	T Technology > T Technology (General) > T57.5 Data Processing T Technology > T Technology (General) > T58.6 Management information systems T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.888 Web sites--Design. Web site development.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Fathin Muhashibi Putra
Date Deposited:	28 Jul 2025 01:33
Last Modified:	28 Jul 2025 01:33
URI:	http://repository.its.ac.id/id/eprint/122238

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