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All Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal Riset Teknologi dan Inovasi Pedidikan (JARTIKA)
Hidayah, Hendi
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Persepsi Mahasiswa Terhadap Penggunaan ChatGPT dalam Proses Pembelajaran Hidayah, Hendi; Putri, Fitrah Utami; Safarudin; Putro, Dwi Suryo; Supardi; Inzani, Nada
Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika) Vol. 6 No. 2 (2023): Juni
Publisher : Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36765/jartika.v6i2.679

Abstract

Abstrak: Tujuan yang ingin dicapai dalam penelitian ini adalah untuk mengetahui persepsi mahasiswa terhadap penggunaan ChatGPT di era Pendidikan dengan membandingkan persepsi antara perempuan dan laki-laki berdasarkan gender. Penelitian ini menggunakan metode kuantitatif dengan pendekatan survey. Instrumen yang di gunakan berupa angket sebanyak 10 soal/pernyataan dengan skala likert 5 options. Analisis data yang digunakan yaitu statistik deskriftif dan uji-t independent menggunakan SPSS. Hasil analisis data menunjukan persepsi mahasiswa terhadap penggunaan ChatGPT dengan nilai rata rata sebesar 75,69%. Selanjutnya pada uji-t yang telah dilakukan menggunakan SPSS di peroleh nilai uji-t yaitu sebesar -1,991 dengan nilai sig 0,052. Hal ini menunjukan bahwa tidak ada perbedaan yang signifikan (nyata) antara rata-rata hasil persepsi mahasiswa pada kelompok A (perempuan) dengan kelompok B (lakii laki). Abstract: The objective of this research is to explore students' perceptions regarding the use of ChatGPT in the educational landscape by comparing the perceptions between females and males based on gender. This study employs a quantitative method with a survey approach. The instrument used consists of a questionnaire comprising 10 items/statements using a 5-point Likert scale. Data analysis involves descriptive statistics and independent t-test using SPSS. The data analysis results reveal that students' perceptions towards the use of ChatGPT have an average score of 75.69%. Furthermore, the conducted t-test using SPSS yielded a t-value of -1.991 with a significance value of 0.052. This indicates that there is no significant difference between the average perceptions of female (Group A) and male (Group B) students.
Accuracy Comparison of Multivariate Newton-Raphson and Newton-Kantorovich Methods through Numerical Simulation in Nonlinear Systems Syaharuddin; Hidayah, Hendi; Mahsup, Mahsup; Mehmood, Saba; Raza, Wasim
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 10 No. 1 (2026)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v10i1.1971

Abstract

Nonlinear systems of equations often appear in various fields of science and generally cannot be solved analytically, so numerical methods are required. However, previous studies have not provided a direct comparison of the accuracy and efficiency of the Multivariate Newton-Raphson method and the Newton-Kantorovich method when applied to the same nonlinear system, creating a gap in understanding their relative performance. This study aims to analyze and compare the performance of two numerical methods, namely the Newton-Raphson method and the Newton-Kantorovich method, in solving nonlinear systems of equations numerically. The evaluation is based on the convergence rate, result accuracy, and iteration efficiency of each method. The nonlinear system used involves trigonometric, exponential, and polynomial functions. Simulations were conducted twice using three equations directly for each method. The error tolerance was set at 0.001, with a maximum of 100 iterations. The simulation results showed that the Multivariate Newton-Raphson method had the best performance, requiring only 7 iterations to achieve convergence with a very small error of 2.711×10^(-7). In contrast, the Newton-Kantorovich method required 21 iterations and produced an error of 6.770×10^(-5), indicating slower convergence and lower efficiency. Based on these results, it can be concluded that the Multivariate Newton-Raphson method is the more accurate and efficient method for solving nonlinear systems of equations through numerical simulation. This finding contributes to the selection of an appropriate numerical method and opens opportunities for further exploration in higher-dimensional systems.
Co-Authors Inzani, Nada Mahsup, Mahsup Mehmood, Saba Putri, Fitrah Utami Putro, Dwi Suryo Raza, Wasim Safarudin Supardi Syaharuddin Syaharuddin