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All Journal Pixel : Jurnal Ilmiah Komputer Grafis Informatika
Hidayat, Febrian Nur
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Education Library & Information Science Other

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Penerapan Algoritma Dynamic Programming Dalam Penentuan Prioritas Pengerjaan Tugas Kuliah Mahasiswa Hidayat, Febrian Nur; Ferdinan, Bryan Desmonda; Saputra, Rendy; Christian, Efrans; Pranatawijaya, Viktor Handrianus
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5632

Abstract

College assignments are an essential part of every student’s learning process. However, the multitude of tasks from various subjects often leaves students confusedabout prioritizing their work. This research aims to assist students in effectively determining the priority of completing college assignments using a dynamic programming algorithm. This research uses a modeling method of various subjects as variables with different weights, such as deadlines and task difficulty levels. The dynamic programming algorithm is then used to find the optimal solution in completing all tasks, considering various possibilities, both deadlines and difficulty levels. This research has found that the application of the dynamic programming algorithm can create the best solution that takes into account all aspects and produces optimal schedulling in completimg tasks.  Althought it requires more time in the calculation process, this algorithm can also provide an optimal solution to help students complete their tasks efficiently and effectively. The application of this dynamic programming algorithm is expected to be a solution for students in completing their tasks better and avoiding stress due to task accumulation. Besides, this research also has the potential to benefit lecturers in assigning tasks to students by considering optimal capabilities and working time. Thus, this  research can help improve the quality of learning in higher education.
Pengaplikasian Algoritma Simple Linear Regression untuk Prediksi Harga Rumah di Jabodetabek Berdasarkan Fitur Lokasi dan Luas Bangunan Parhusip, Jadiaman; Julian, Ary Sigit; Hidayat, Febrian Nur; Souk, Jeremy Timothy; Fakhri, Naufal
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 18 No. 2 (2025): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v18i2.3240

Abstract

Penelitian ini menggunakan data sekunder yang telah melalui beberapa proses pra-pengolahan, mencakup penanganan data yang hilang, standarisasi data numerik, serta konversi data kategorikal menggunakan teknik One-Hot Encoding. Sebagian besar data (80%) digunakan dalam tahap pelatihan, sedangkan 20% sisanya digunakan untuk tahap pengujian, sedangkan model diimplementasikan dengan metode LinearRegression() pada library scikit-learn. Hasil evaluasi menunjukkan bahwa model berhasil menangkap hubungan linier di antara variabel independen dan dependen, memperoleh nilai MAE = 0,509; MSE = 0,464; RMSE = 0,681; dan R² = 0,627. Hal ini menandakan bahwa sekitar 62,7 persen variasi harga rumah di wilayah Jabodetabek dapat dijelaskan oleh model tersebut.
Co-Authors Efrans Christian Fakhri, Naufal Ferdinan, Bryan Desmonda Jadiaman Parhusip, Jadiaman Julian, Ary Sigit Rendy Saputra Souk, Jeremy Timothy Viktor Handrianus Pranatawijaya