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Journal of Informatics, Electrical and Electronics Engineering
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 28079507     DOI : https://doi.org/10.47065/jieee.v2i4
Core Subject : Science, Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering
Fokus kajian Journal of Informatics, Electrical and Electronics Engineering, yaitu: 1. Control System, 2. Artificial Intelligence, 3. Informatics Engineering, 4. Electronics, 5. Advanced energy material, 6. Automatic power control, 7. Battery technology, 8. Distributed generation, 9. Distribution system, 10. Electric power generation, 11. Electric vehicle, 12. Electrical machine, 13. Energy optimization, 14. Energy conversion, 15. Energy efficiency, 16. Energy exploitation, 17. Energy exploration, 18. Energy management, 19. Energy mitigation, 20. Energy storage, 21. Energy system, 22. Fault diagnostics, 23. Green energy, 24. Green technology, 25. High voltage, 26. Insulation technology, 27. Intelligent power optimization, 28. Monitoring operation, 29. Motor drives, 30. Natural energy source, 31. Power control, 32. Power data transaction, 33. Power economic, 34. Power electronics, 35. Power engineering, 36. Power generation, 37. Power optimization, 38. Power quality, 39. Power system analysis, 40. Power system information, 41. Power system optimization, 42. Protection system, 43. Renewable energy, 44. SCADA, 45. Security operation, 46. Smart grid, 47. Stability system, 48. Storage system, and 49. Transmission system
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 72 Documents
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Pemodelan Prediksi Volume Penumpang Transjakarta Menggunakan Regresi Pada Algoritma Machine Learning Wijaya, Ilham Maulana; Taufik, Andi
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 1 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i1.2648

Abstract

The rapid population growth and urbanization in Jakarta pose significant challenges to the provision of efficient public transportation, particularly for Transjakarta, which often experiences fluctuating passenger volumes that complicate capacity management and operational efficiency. This study aims to model and predict Transjakarta passenger volumes using regression methods within machine learning algorithms, by comparing three models: Linear Regression, Random Forest Regression, and Gradient Boosted Trees Regression. The dataset consists of historical passenger records from routes S21 (Ciputat–CSW/Tosari) and S22 (Ciputat–Kampung Rambutan) covering the period from January 2022 to March 2025. The data were processed through several stages, including preprocessing, categorical variable transformation, train-test splitting, and model evaluation using Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and the coefficient of determination (R²). The results show that Gradient Boosted Trees Regression achieved the best predictive performance with an R² of 0.73 and an average error of approximately 22,000 passengers, outperforming Linear Regression (R² = 0.65) and Random Forest Regression (R² = 0.63). These findings highlight that ensemble boosting is more effective in capturing non-linear patterns in passenger data, making it the most suitable predictive model to support operational planning, fleet efficiency, and the development of adaptive and sustainable public transportation policies.
Implementasi Aplikasi Manajemen Pelanggaran Santri SMP-MA Berbasis Website Menggunakan Framework CodeIgniter 4 Harfi Zhilaa, Ramya; Priyatna, Ade
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 1 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i1.2669

Abstract

The management of student violation records in Islamic boarding schools is often still conducted manually, making it prone to recording errors, data duplication, and delays in report generation. This issue leads to a lack of transparency and accountability in the enforcement of school discipline. This research aims to develop a web-based student violation management application at SMP and MA Hidayatullah Depok using the Waterfall software development model. The application features include student data management and violation recording. The system was implemented using the CodeIgniter 4 framework and MySQL database. The testing results using the Blackbox Testing method showed that all application functions worked as expected, while the User Acceptance Test (UAT) involve 7 of 7 teachers indicated that 100% of respondents found the application highly useful in managing violation records. Therefore, this application improves efficiency, transparency and can serve as a model for educational information systems tailored to the boarding school context.

Page 8 of 8 | Total Record : 72

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