PENERAPAN MEDALLION ARCHITECTURE PADA PIPELINE ETL UNTUK APLIKASI WELLNESSTRACK DENGAN INTEGRASI MODEL RISK PREDICTION DAN RULE-BASED RECOMMENDATION

Hansen Vernandez, . (2026) PENERAPAN MEDALLION ARCHITECTURE PADA PIPELINE ETL UNTUK APLIKASI WELLNESSTRACK DENGAN INTEGRASI MODEL RISK PREDICTION DAN RULE-BASED RECOMMENDATION. Tugas Akhir thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Student mental health has become an increasing concern due to academic pressure, irregular sleep patterns, and poor balance in daily activities. However, there is still a lack of systems capable of managing and analyzing student wellness data in an integrated manner to generate personalized insights and recommendations. This research proposes an ETL pipeline based on Medallion Architecture using MongoDB, PostgreSQL, Apache Airflow, and Streamlit to manage questionnaire-based student wellness data. The study adopts the CRISP-DM methodology and implements Bronze, Silver, and Gold data pipeline layers. The analysis process employs a risk prediction approach based on wellness indicators such as academic pressure, sleep duration, learning satisfaction, study or working hours, and financial pressure, resulting in three risk categories: Low, Moderate, and High. The prediction results are further utilized in a rule-based recommendation system to provide contextual lifestyle recommendations. The proposed system demonstrates the ability to manage wellness data in a structured manner, generate interpretable risk estimations, and deliver visualizations and personalized recommendations through the WellnessTrack platform.

Item Type: Thesis (Tugas Akhir)
Additional Information: [No.Panggil: 2310501095] [Pembimbing: I Wayan Widi Pradnyana] [Penguji 1: Rio Wirawan] [Penguji 2: Bobby Suryo Prakoso]
Uncontrolled Keywords: Medallion Architecture, Risk Prediction, Rule-Based Recommendation, Wellness Analytics, WellnessTrack
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Divisions: Fakultas Ilmu Komputer > Program Studi Sistem Informasi (DIII)
Depositing User: HANSEN VERNANDEZ
Date Deposited: 04 Sep 2026 08:37
Last Modified: 04 Sep 2026 08:37
URI: http://repository.upnvj.ac.id/id/eprint/50952

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