ihsanmaulanayusuf/buku_kating1
Oct 2024 – Nov 2024
2 Months active
Languages Used
Python
Technical Skills
Code CorrectionCode FormattingCode RefactoringContent ManagementContent UpdateData Entry
graciayoan
PROFILE
Graciayoan
Contributed to the ihsanmaulanayusuf/buku_kating1 repository by building and refining departmental profile management features, focusing on data accuracy, content enrichment, and UI consistency. Applied Python scripting and full stack development skills to integrate new modules, correct structural and formatting issues, and enhance cross-department workflows. Addressed critical bugs related to data integrity, such as biodata inconsistencies and error handling across PSDA, Medkraf, SSD, and Mikfes modules. Improved data structuring and frontend presentation, enabling more reliable profile displays and streamlined analytics. The work emphasized code correction, data management, and collaborative version control, resulting in a more stable and scalable codebase.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
47Total
Bugs
9
Commits
47
Features
9
Lines of code
4,667
Activity Months2
Your Network
39 peopleShared Repositories
13
Work History
November 2024
15 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for ihsanmaulanayusuf/buku_kating1: Focused on delivering data quality improvements, content correctness, and UI/data organization enhancements to support reliable profile displays and downstream analytics. Key features delivered include Buku Kating Data Accuracy and Enrichment, Department Profile Content Improvements (PSDA, MEDKFES, SSD, MIKFES), and UI/UX/Data Organization Enhancements. Major bugs fixed encompassed biodata inconsistencies and missing fields, incorrect Instagram username, image URL issues, and typos, resulting in more consistent and trustworthy profile data. Overall impact: higher data quality with enriched fields, improved navigation and presentation, and a foundation for scalable data governance across departments, driving better user experience and informed decisions. Technologies/skills demonstrated: data cleaning and enrichment, content refinement, UI/UX tuning, data organization, version control hygiene, and cross-team collaboration.
15 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for ihsanmaulanayusuf/buku_kating1: Focused on delivering data quality improvements, content correctness, and UI/data organization enhancements to support reliable profile displays and downstream analytics. Key features delivered include Buku Kating Data Accuracy and Enrichment, Department Profile Content Improvements (PSDA, MEDKFES, SSD, MIKFES), and UI/UX/Data Organization Enhancements. Major bugs fixed encompassed biodata inconsistencies and missing fields, incorrect Instagram username, image URL issues, and typos, resulting in more consistent and trustworthy profile data. Overall impact: higher data quality with enriched fields, improved navigation and presentation, and a foundation for scalable data governance across departments, driving better user experience and informed decisions. Technologies/skills demonstrated: data cleaning and enrichment, content refinement, UI/UX tuning, data organization, version control hygiene, and cross-team collaboration.
November 2024
October 2024
32 Commits • 6 Features
Oct 1, 2024October 2024 focused on stabilizing and extending the Buku Kating1 codebase with PSDA integration, Mikfes enhancements, and external department data workflows. Delivered new features, addressed critical indentation and structural issues, and improved cross-module error handling. Results include increased code stability, data accuracy, and business-ready capabilities for PSDA, Medkraf, internal modules, and SSD data pipelines, enabling faster and more reliable feature delivery.
October 2024
32 Commits • 6 Features
Oct 1, 2024October 2024 focused on stabilizing and extending the Buku Kating1 codebase with PSDA integration, Mikfes enhancements, and external department data workflows. Delivered new features, addressed critical indentation and structural issues, and improved cross-module error handling. Results include increased code stability, data accuracy, and business-ready capabilities for PSDA, Medkraf, internal modules, and SSD data pipelines, enabling faster and more reliable feature delivery.
Activity
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Quality Metrics
Correctness88.4%
Maintainability88.8%
Architecture80.4%
Performance90.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code CorrectionCode FormattingCode RefactoringContent ManagementContent UpdateData CorrectionData EntryData ManagementData StructuringFile ManagementFrontend DevelopmentFull stack developmentFunction DefinitionList ManipulationPython
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