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All Journal Jurnal Informatika dan Teknik Elektro Terapan RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI
Augustin, Darryl Sandi
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Computer Science & IT

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Penerapan Algoritma Greedy Dalam Penentuan Prioritas Pengerjaan Tugas Kuliah Mahasiswa Naufal Fakhri; Julian, Ary Sigit; Augustin, Darryl Sandi; Mavanudin, Zhykwa Ceryl; Christian, Efrans
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 5 (2024): RESOLUSI May 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i5.1824

Abstract

College assignments play a crucial role in enabling students to grasp course material and achieve learning objectives. However, the demands of completing assignments from multiple courses often leave students confused about prioritizing tasks. This can lead to suboptimal assignment completion and potentially lower the quality of learning. This research aims to assist students in effectively prioritizing college assignment completion using the greedy algorithm. This algorithm will aid students in creating optimal assignment scheduling by considering various factors such as deadlines and assignment difficulty. The research methodology employs simulation with diverse courses as variables and different weights, such as deadlines and assignment difficulty. Preliminary results indicate that the implementation of the greedy algorithm prioritizes assignment deadlines over assignment difficulty, potentially enhancing assignment completion efficiency, leading to more timely task completion and a reduction in student stress levels. The anticipated outcome of this research is to provide students with a method for completing college assignments more efficiently and effectively. This could contribute to improving learning quality and achieving positive learning outcomes. By adopting this approach, students can directly benefit from the research in their academic lives, reducing stress and enhancing their productivity.
ANALISIS POLA KONSUMSI ENERGI BANGUNAN BERDASARKAN DATA SENSOR LINGKUNGAN BERBASIS ALGORITMA APRIORI Parhusip, Jadiaman; Sriyanto, Naufal Ihsan; Tegar Pratama; Mavanudin, Zhykwa Cerryl; Augustin, Darryl Sandi
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8524

Abstract

Abstrak. Konsumsi energi listrik pada bangunan sangat dipengaruhi oleh faktor-faktor lingkungan seperti suhu dan kelembapan yang dapat diidentifikasi melalui analisis pola data. Penelitian ini bertujuan untuk menemukan hubungan antara kondisi lingkungan dengan tingkat konsumsi energi menggunakan algoritma Apriori. Dataset yang digunakan adalah Tetuan City Power Consumption yang terdiri atas 52.416 entri dengan sembilan atribut sensor. Data diproses melalui tahap pra-pemrosesan, diskritisasi, dan penerapan algoritma Apriori dengan parameter minimum support sebesar 5% dan minimum confidence sebesar 30%. Hasil analisis menunjukkan bahwa kondisi kelembapan tinggi dan suhu rendah berkorelasi kuat dengan konsumsi energi rendah dengan nilai lift 1,973 dan confidence 65,8%. Sebaliknya, kondisi suhu tinggi dan kelembapan rendah menjadi faktor yang memicu lonjakan konsumsi energi dengan nilai lift 1,857 dan confidence 61,8%. Temuan ini memberikan wawasan penting dalam pengembangan sistem manajemen energi bangunan yang efisien serta dapat dijadikan dasar dalam perancangan sistem peringatan dini untuk mengantisipasi beban puncak berdasarkan data sensor lingkungan.
Co-Authors Efrans Christian Jadiaman Parhusip, Jadiaman Julian, Ary Sigit Mavanudin, Zhykwa Cerryl Mavanudin, Zhykwa Ceryl Naufal Fakhri Sriyanto, Naufal Ihsan Tegar Pratama