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RANCANG BANGUN SISTEM PENGINGAT TUGAS KULIAH BERBASIS WEB UNTUK MENINGKATKAN MANAJEMEN WAKTU MAHASISWA Felix John Pardamean Hutabarat; Aqilah Defiyanti; Rani Indah Sari; Yuda Advis Ambrosius Sitohang; Adidtya Perdana
Jurnal Teknologi Informasi dan Komputer Vol. 11 No. 1 (2025): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi April 2025
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v11i1.3759

Abstract

Students frequently encounter challenges in managing academic schedules and completing assignments on time due to the demanding nature of coursework and involvement in non-academic activities. Poor time management can adversely affect students' academic performance. Consequently, this study aims to design and develop a web-based academic task reminder system to assist students in managing schedules more effectively. The application is developed using HTML, CSS, and JavaScript, with data storage based on local storage, enabling users to access and store assignment information without requiring a server connection. The development methodology employed in this research follows the Software Development Life Cycle (SDLC) Waterfall model, which encompasses the stages of requirements analysis, system design, implementation, testing, and maintenance. Black Box testing was conducted to verify that all features—including task addition, deletion, sorting by deadline or alphabetically, and data storage—function as intended. Test results demonstrate that the system enhances task management efficiency and helps students organize schedules in a more structured manner. Furthermore, the system allows students to conveniently access task lists anytime and anywhere, eliminating the risk of data loss upon page refresh. Overall, this web-based task reminder system successfully fulfills user requirements in managing academic assignments more effectively, thereby fostering discipline and improving productivity in meeting academic deadlines.
Integrasi Algoritma Firefly dalam Optimasi Hyperparameter CatBoost untuk Prediksi Risiko Penyakit Paru-Paru Felix John Pardamean Hutabarat; Paskah Abadi Simanullang; Revidamurty Daulay; Adidtya Perdana
Jurnal Intelek Insan Cendikia Vol. 2 No. 12 (2025): Desember 2025
Publisher : PT. Intelek Cendikiawan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini menyajikan suatu pendekatan terintegrasi untuk meningkatkan prediksi risiko penyakit paru-paru melalui optimasi hyperparameter CatBoost menggunakan Algoritma Firefly. Dengan memanfaatkan dataset yang terdiri atas 30.000 sampel yang mencakup atribut demografis, perilaku, dan klinis, penelitian ini menerapkan metodologi CRISP-DM guna memastikan proses pengolahan data dan pengembangan model yang sistematis. Algoritma Firefly digunakan untuk mengeksplorasi ruang pencarian hyperparameter dan menentukan konfigurasi terbaik berdasarkan nilai F1-score melalui validasi silang 5-fold, sehingga menghasilkan model CatBoost yang mengalami peningkatan kinerja secara signifikan dengan capaian akurasi sebesar 94,33%, presisi 100%, recall 88,15%, F1-score 93,70%, serta AUC-ROC sebesar 0,9926. Hasil penelitian menunjukkan bahwa Algoritma Firefly mampu meningkatkan kinerja dan stabilitas CatBoost, sehingga menghasilkan model prediktif yang andal untuk mendukung deteksi dini dan pengambilan keputusan klinis terkait risiko penyakit paru-paru