Rancang Bangun Sistem Import dan Transformasi Data Excel ke Database Mysql pada Koperasi Syariah Benteng Mikro Indonesia
DOI:
https://doi.org/10.62951/router.v4i2.887Keywords:
Data Import, Data Transformation, Excel, MySQL, Python FlaskAbstract
Koperasi Syariah Benteng Mikro Indonesia is a microfinance institution that manages member data, financing, and financial transactions. Currently, data processing is still largely conducted using unstructured Excel files, which often leads to data duplication, formatting errors, information inconsistency, and delays in database integration. The objective of this internship project is to design and develop a web-based system for importing and transforming Excel data to improve efficiency, accuracy, and consistency in data management.The development method uses the SDLC Waterfall model, which consists of analysis, design, implementation using Python Flask and MySQL, and testing. Data collection methods include interviews, observations, and literature studies involving administrative staff and the IT division of the cooperative.The system scope includes eight main features: (1) Excel file upload; (2) data preview; (3) interactive column mapping; (4) automatic data validation; (5) data format transformation; (6) import process simulation; (7) data import into a MySQL database; and (8) logging and reporting of import results.The expected outcomes are to reduce data errors by up to 85%, accelerate data entry processes, improve database consistency, and support structured and integrated digitalization of cooperative data.
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Chanda, D. (2024). Automated ETL pipelines for modern data warehousing: Architectures, challenges, and emerging solutions. The Eastasouth Journal of Information System and Computer Science, 1(3), 209–212. https://doi.org/10.58812/esiscs.v1i03.523
Elmasri, R., & Navathe, S. B. (2017). Fundamentals of database systems (7th ed.). Pearson. https://books.google.com/books/about/Fundamentals_of_Database_Systems.html?id=tRybCgAAQBAJ
Flask Documentation. (2025). Welcome to Flask. https://flask.palletsprojects.com/
Fowler, M. (2021). UML distilled: A brief guide to the standard object modeling language (4th ed.). Addison-Wesley.
Kimball, R., & Caserta, J. (2004). The data warehouse ETL toolkit: Practical techniques for extracting, cleaning, conforming, and delivering data. Wiley Publishing.
Larasati, S., & Susetyo, Y. A. (2024). Development of a web-based trading term application using Flask framework at PT. XYZ. International Journal Software Engineering and Computer Science, 4(1), 367–376. https://doi.org/10.35870/ijsecs.v4i1.2339
Mahmud, D., & Ikbal, M. Z. (2022). The role of ETL (Extract-Transform-Load) pipelines in scalable business intelligence: A comparative study of data integration tools. ASRC Procedia: Global Perspectives in Science and Scholarship, 2(1), 89–121. https://doi.org/10.63125/1spa6877
Nithish, R., Ravi, & David. (2024). Data transformation techniques in ETL. International Journal of Multidisciplinary on Science and Management, 1(2), 1–16. https://doi.org/10.71141/30485037/V1I2P101
Pressman, R. S., & Maxim, B. R. (2020). Software engineering: A practitioner's approach (9th ed.). McGraw-Hill Education.
Relan, K. (2019). Building REST APIs with Flask: Create Python web services with MySQL. Apress. https://doi.org/10.1007/978-1-4842-5022-8
Sari, P., Kesuma, L. I., Afrina, M., & Kurniawan, D. (2024). Pemodelan integrasi data barang milik negara di perguruan tinggi menggunakan metode ETL (Extract, Transform, Load) dengan Pentaho. International Journal of Computer Science, 13(5). https://doi.org/10.33022/ijcs.v13i5.4424
Setiyawati, N. (2025). Design and implementation of an ETL pipeline for business intelligence systems. Jurnal Sistemasi. https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/5158
Silberschatz, A., Korth, H. F., & Sudarshan, S. (2020). Database system concepts (7th ed.). McGraw-Hill Education. https://www.db-book.com/
Walingkas, H. L., & Saian, P. O. N. (2023). Penerapan framework Flask pada pembangunan sistem informasi pemasok barang. Jurnal Teknologi Informasi dan Komunikasi, 7(2), 227–234. https://doi.org/10.35870/jtik.v7i2.729
Wiratama, J., & Bagioyuwono, M. A. (2023). Improving the data management: ETL implementation on data warehouse at Indonesian vehicle insurance industry. International Journal of Science, Technology & Management, 4(5), 1256–1268. https://doi.org/10.46729/ijstm.v4i5.936
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