Eka Finanti Simamora
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Efektivitas Peran Chatgpt Sebagai Alat Bantu Penyelesaian Tugas Akademik Mahasiswa Eka Finanti Simamora; Imel Simanungkalit; Prihatin Ningsih Sagala; Nurcahaya Br Zandroto; Putri Br Tarigan; Rival Ananda Gisty
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 2 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v3i2.445

Abstract

This study aims to analyze the effectiveness of ChatGPT as a tool to help students complete academic assignments. Using a quantitative descriptive method, this study involved 150 6th semester students of the Mathematics Education Study Program selected through a simple random sampling technique. Data were collected through an online questionnaire that measured the intensity of ChatGPT use, ease of understanding the material, and its impact on learning outcomes. The results showed that the majority of students felt helped by the use of ChatGPT, especially in compiling essay assignments, understanding complex academic concepts, and increasing self-confidence in solving math problems. However, it was found that excessive use has the potential to reduce learning motivation if students rely too much on instant answers. Therefore, wise use of ChatGPT and integration with conventional learning methods is highly recommended so that students continue to develop critical thinking skills and independence in learning.
Pemodelan Konveksi Panas Pada Fluida Statis dan Dinamis Dalam Bentuk Persamaan Diferensial Orde 1 Eka Finanti Simamora; Nurcahaya Br Zandroto; Putri Tarigan; Vico Putra Sidauruk; Fevi Rahmawati Suwanto
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 4 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i4.124

Abstract

This article discusses the importance of understanding heat convection in fluids in the context of physics and engineering. Using first order Simple Differential Equations (PDS), we can analyze the temperature distribution in a fluid over time and space in high detail. PDS allows modeling heat convection by considering parameters such as temperature differences and fluid flow velocity. Numerical methods are used to complete the PDS computationally, while data collection techniques through literature studies provide an in-depth understanding of relevant theories and previous findings. With the application of PDS and numerical methods, we can better understand and predict heat transfer in fluids, which has wide applications in engineering, biology, and physics. In conclusion, this article provides a comprehensive insight into the use of PDS in the analysis of heat convection in static and dynamic fluids, with a focus on mathematical and computational approaches to better understand this phenomenon.