Al Fajri, Iman
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Penyelesaian Persamaan Diferensial Menggunakan Metode Runge Kutta Orde Keenam Dengan Algoritma Paralel Al Fajri, Iman; Hendra; Kusuma, Jeffry; Musdalifah, Selvy; Nacong, Nasria; Sain, Hartayuni; Arsal, Armayani
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 20 No. 2 (2023)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2023.v20.i2.16354

Abstract

Penelitian tentang paralelisasi terus mengalami perkembangan saat ini, termasuk dalam perhitungan numerik. Pada tulisan ini akan dibahas penyelesaian persamaan diferensial menggunakan metode Runge-Kutta orde keenam dengan algoritma paralel. Makalah ini menyajikan penurunan dari metode Runge-Kutta orde keenam yang cocok untuk implementasi secara paralel. Pengembangan model paralel didasarkan pada struktur ketersebaran. Hasil perhitungan dengan model paralel kemudian akan dibandingkan dengan model sekuensial dari sisi akurasi dan waktu eksekusi. Pehitungan numerik menunjukkan bahwa metode paralel lebih mendekati solusi analitik, artinya akurasinya lebih baik. Ditinjau dari sisi waktu eksekusi, metode paralel juga memiliki keunggulan dibandingakan dengan metode sekuensial, yaitu lebih cepat.
Sistem Visualisasi Data Sertifikasi Karyawan Berbasis Website Menggunakan Metode Naive Bayes Talaba, Djeliyana; Sudarsana, I Wayan; Al Fajri, Iman
Fraktal : Jurnal Matematika dan Pendidikan Matematika Vol 5 No 2 (2024): November 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/fractal.v5i2.18310

Abstract

Employee certification in a company is one of the important aspects in the world of work that will show the competence and quality of an employee. However, to get the appropriate results, the company uses a support system from data analysts. This research aims to create a website-based data visualization system that can present employee certification information clearly, get the results of employee data analysis for certification decision making using the Naive Bayes method. This research was conducted in 2 stages, namely the training and testing stages using 5 attributes. Data processing was carried out using 59 training data and 59 testing data. This research produces a system that can assist in making decisions on the eligibility of employees who want to take certification using the naive bayes method and visualize it, the results obtained from the system are 10 data that are not eligible for certification with an accuracy of 96%.