Pengembangan Modul Monitoring dan Controlling Apache Airflow Berbasis Web Menggunakan Metode Prototype
Date
2026Jenis/Type
Tugas AkhirSubtype
Undergraduate ThesesAuthor
Meliala, Rajhaga Jevanya
Mindara, Gema Parasti
Metadata
Show full item recordAbstract
RAJHAGA JEVANYA MELIALA. Pengembangan Modul Monitoring dan Controlling Apache Airflow Berbasis Web Menggunakan Metode Prototype. Dibimbing oleh GEMA PARASTI MINDARA.
Pengelolaan Directed Acyclic Graph (DAG) menggunakan Apache Airflow memerlukan intervensi langsung terhadap kode untuk setiap perubahan konfigurasi, sehingga menyulitkan pengguna non-teknis dalam melakukan pengawasan dan pengendalian proses. Penelitian ini bertujuan mengembangkan modul monitoring dan controlling Apache Airflow berbasis web menggunakan metode Prototype serta mengevaluasi kinerjanya melalui Functional Testing dan Performance Testing. Sistem dikembangkan secara iteratif hingga menghasilkan modul yang mampu menampilkan status Directed Acyclic Graph (DAG), riwayat eksekusi, log, serta mendukung fungsi pengendalian DAG. Hasil Functional Testing menunjukkan seluruh fungsi sistem berjalan sesuai kebutuhan dengan tingkat keberhasilan 100%. Performance Testing menggunakan Apache JMeter menunjukkan sistem mampu menangani beban akses secara stabil dengan penerapan mekanisme lazy loading. Sistem yang dikembangkan berhasil menyederhanakan proses monitoring dan controlling DAG Apache Airflow tanpa memerlukan modifikasi kode secara langsung. RAJHAGA JEVANYA MELIALALA. Development of a Web-Based Monitoring and Controlling Module for Apache Airflow Using the Prototype Method. Advised by GEMA PARASTI MINDARA.
Managing Directed Acyclic Graph (DAG) using Apache Airflow requires direct code intervention for configuration changes, making it difficult for non-technical users to oversee and control the process. This study aims to develop a web-based monitoring and controlling module for Apache Airflow using the Prototype method and evaluate its performance through Functional Testing and Performance Testing. The system was developed iteratively and provides features for monitoring Directed Acyclic Graph (DAG) status, execution history, logs, and DAG control. Functional Testing results indicate that all system functions operate according to the defined functional requirements with a 100% pass rate. Performance Testing using Apache JMeter demonstrates stable system performance under access loads through the implementation of a lazy loading mechanism. The developed system simplifies DAG Apache Airflow monitoring and controlling without requiring direct code modification.

