JARS-17/buku-kating-anova
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
Code RefactoringCode StandardizationContent UpdateData CorrectionData EntryData Management
nadiaafrj
PROFILE
Nadiaafrj
Worked on the JARS-17/buku-kating-anova repository, focusing on modular integration and data quality improvements for the Buku Kating project. Introduced a new submodule to enable cross-project collaboration, while standardizing UI naming conventions to ensure consistent user experience. Addressed data integrity by correcting typos, updating department names and NIMs, refining age formatting, and updating image URLs, which improved overall data accuracy and asset management. Leveraged Python for code refactoring and string manipulation, applying version control best practices with Git submodules. This work enhanced maintainability, reduced data errors, and supported scalable collaboration across teams within the Buku Kating ecosystem.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
2
Lines of code
2,575
Activity Months1
Your Network
10 peopleWork History
November 2024
9 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for JARS-17/buku-kating-anova: Focused on modular integration with Buku Kating, UI consistency, and data quality improvements. Key outcomes include: new submodule integration enabling cross-project collaboration; standardized UI naming for consistent presentation; comprehensive data corrections and asset updates improving accuracy and asset integrity. These workstreams deliver business value by strengthening maintainability, reducing data errors, improving user trust, and enabling scalable collaboration with the Buku Kating project. Technologies/skills demonstrated: Git submodules, version control hygiene, data normalization, UI string capitalization standards, and cross-team collaboration.
9 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for JARS-17/buku-kating-anova: Focused on modular integration with Buku Kating, UI consistency, and data quality improvements. Key outcomes include: new submodule integration enabling cross-project collaboration; standardized UI naming for consistent presentation; comprehensive data corrections and asset updates improving accuracy and asset integrity. These workstreams deliver business value by strengthening maintainability, reducing data errors, improving user trust, and enabling scalable collaboration with the Buku Kating project. Technologies/skills demonstrated: Git submodules, version control hygiene, data normalization, UI string capitalization standards, and cross-team collaboration.
November 2024
Activity
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Quality Metrics
Correctness95.6%
Maintainability95.6%
Architecture95.6%
Performance95.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code RefactoringCode StandardizationContent UpdateData CorrectionData EntryData ManagementList ManagementRefactoringString Manipulation
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