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Analisis Pola Periodik Harga Saham Coca-Cola Menggunakan Deret Fourier dalam Model Regresi Linear Karang, Gusti Yogananda; Hardi, Rida Alkausar; Rizki, Miptahul; Robbaniyyah, Nuzla Af'idatur; Rusadi, Tri Maryono
Semeton Mathematics Journal Vol 2 No 1 (2025): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v2i1.271

Abstract

This study aims to identify periodic patterns and predict the movement of Coca-Cola (KO) stock prices using Fourier series in a linear regression model. The data utilized includes daily closing stock prices over the 2014-2024 period. A Fourier model with 15 harmonic components was chosen to optimize the balance between prediction accuracy and the risk of overfitting. The analysis results showed an R-squared value of 0.9174, indicating a high capability of capturing stock price variations. The detected price fluctuations reveal significant seasonal cycles and periodic trends. The price forecast for the 2024-2029 period indicates potential higher volatility, influenced by consumer demand dynamics, global economic uncertainty, product innovation, as well as geopolitical factors and climate change. These findings provide insights for investors to develop investment strategies based on the detected stock price fluctuation patterns.
Analysis of Land Surface Temperature Changes in East Lombok Regency Using the Cloud-Based Platform Google Earth Engine Dani, Ifan Hasnan; Hardi, Rida Alkausar; Al Paqih, Muhammad Imam; Ulfa, Kurnia; Robbaniyyah, Nuzla Af'idatur; Alfian, Muhammad Rijal
Contemporary Mathematics and Applications (ConMathA) Vol. 7 No. 2 (2025)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v7i2.68243

Abstract

This study uses Google Earth Engine, a cloud computing platform, to examine variations in land surface temperature in East Lombok Regency between 2010 and 2020. This study uses MODIS satellite data and is analyzed using Google Earth Engine by adapting a mathematical method—namely, the Random Forest Algorithm from discrete mathematics. According to the results, the temperature increased from its lowest point in 2010 (14.32°C) to its maximum point in 2020 (36.19°C), rising to 16.67°C and 37.74°C. Due to residential growth, Wanasaba, Pringgabaya, and Sambelia saw the biggest increases. Comprehensive temperature monitoring is made possible by Google Earth Engine, which facilitates the effective processing of large-scale spatial data. These results offer a scientific foundation for policy decisions and are essential for environmental management and climate change mitigation. In addition to supporting environmental monitoring initiatives, this study provides a reference for related studies in other areas dealing with issues related to land use and climate change. This research is important for the Central Lombok government as a basis for mitigation efforts in responding to temperature changes and their implications for land use change.
Pengenalan Basic Coding sebagai Upaya Penguatan Literasi Digital di SMP Negeri 1 Praya Tengah Paqih, Muhammad Imam Al; Adriansyah, Muhammad; Dani, Ifan Hasnan; Hardi, Rida Alkausar; Ramadhan, Fitrah; Satriyantara, Rio; Nababan, Maxtulus Junedy
Sinergi dan Harmoni Masyarakat MIPA Vol. 2 No. 1 (2025): Oktober
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/sinonim.v2i1.8566

Abstract

This community service activity aims to enhance students’ digital literacy through the introduction of basic coding at SMP Negeri 1 Praya Tengah. Digital literacy is an essential competence in the era of information technology, encompassing not only the ability to operate digital devices but also the capacity to think logically, critically, and creatively in solving problems using technology. This program was implemented by the MBKM MAPS team from the Department of Mathematics, University of Mataram, involving seventh-grade students as participants. The implementation stages included preparation (coordination and planning), execution (introduction to basic coding concepts using the Python language on the Google Colab platform), and evaluation through pre-test and post-test to measure the program’s effectiveness. The results of the paired samples t-test analysis indicated a significant improvement in students’ abilities after participating in the training, with a mean difference value of  and a significance value of . These results demonstrate that the activity successfully improved students’ understanding of programming logic and computational thinking skills. In addition to the statistical improvement, observations showed high enthusiasm among participants in practicing simple coding tasks. Overall, this activity has had a positive impact on enhancing digital literacy and represents an initial step in fostering a technology-based learning culture within the school environment.