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Analysis of Coulomb Stress Changes in Aceh Earthquake on Sibayak Volcano Goldberd Harmuda Duva Sinaga; Agoez Loeqman; Ruben Cornelius Siagian; Mardame Pangihutan Sinaga
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 8 No 2 (2022): July-December
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v8i2.4409

Abstract

Based on geological conditions, Indonesia is located between the Indo-Australian plate, the Eurasian plate, and the Pacific plate, making Indonesia prone to tectonic earthquakes. However, since the big earthquake that occurred in Aceh on December 26, 2004, the geological conditions in Sumatra have undergone significant changes marked by stressful situations in the western to southern regions of Sumatra, especially on Sibayak Volcano. This study used data from BMKG and Global CMT, which included magnitude (Mw), depth, earthquake coordinates (longitude and latitude), type of earthquake, strike, dip, and rake. From the analysis using Coulomb 3.3, the highest coulomb stress value of Sibayak Volcano was obtained in 2015 with an average change in coulomb stress of 0.235 bar, shear 0.1909 bar, normal 0.1106 bar. However, the lowest coulomb stress value occurs in 2021 with a moderate shift in coulomb stress of 0.0593 bar, shear 0.0251, normal 0.0849 bar.
Non-Linear Regresion And Bisection Method Numerical Analysis of Humidity And Temperature Relationships Lulut Alfaris; Ruben Cornelius Siagian; Budiman Nasution; Goldberd Harmuda Duva Sinaga; Indah Indah
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 8 No 2 (2022): July-December
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v8i2.4394

Abstract

This study aims to analyze the correlation of temperature and humidity based on climatological data from Kuningan, West Java province, Indonesia, using non-linear regression and numerical analysis using the bisection method. In studying the education curriculum in Indonesia, most of them have studied linear regression, but only within certain limits, namely linear and multiple. It is still rare for students to use non-linear regression in their analysis. This paper will explain the analysis using non-linear regression as a source of data and equations in numerical analysis so that it can be applied in the context of the numerical bisection method. As for data processing and numerical analysis, Microsoft Excel is used. The authors combined the two variables in the non-linear analysis and used geometric equations for the numerical quotient analysis. The author displays the results of numerical graphs and real-time data obtained from the source "Data access viewer NASA."
EDUKASI DAN PENGEMBANGAN KETERAMPILAN BERBAHASA INGGRIS BERBASIS KURIKULUM MERDEKA DI DESA HUTANAMORA Goldberd Harmuda Duva Sinaga; Toga Simarmata; Ronny Napitupulu; Ezra Octania Sianipar; Rina Kristiana Sitepu; Era Novita Sijabat; Siska Yunita Hutagalung
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2023): Volume 4 Nomor 2 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i2.13642

Abstract

Pendidikan merupakan salah satu aspek penting dalam kehidupan manusia yang juga telah menjadi suatu kebutuhan dasar. Seiring dengan perkembangan Pendidikan dan teknologi perlu perhatian yang lebih intens berbagai pihak baik orang tua, guru, masyarakat, dan akademisi dalam berkontribusi untuk membantu mengatasi permasalahan tentang keterampilan ber-Bahasa Inggris.Tim telah melaksanakan Pengabdian Kepada Masayarakat (PKM)di Desa Hutanamora Kec. Rianiate Pangururan Kab. Samosir. Kegiatan PKM ini dilaksanakan selama kurang lebih sebulan yang mencakup kegiatan mengajar di sekolah, memberikan les tambahan berupa kerampilan Bahasa Asing untuk tingkat SD dan SMP, dan juga kegiatan PKM tambahan berupa membersihkan lingkungan Desa Hutanamora termasuk pembersihan sumur sumber air bersih warga secara gotongroyong. Kegiatan PKM ini diterima baik oleh masyarakat Desa Hutanamora terlebih pemberian fasilitas yang memadai saat pelaksanaan PKM.
Investigating the Relationship between Climate Variables and Solar Activity: A Regression Analysis Approach Budiman Nasution; Goldberd Harmuda Duva Sinaga; Arip Nurahman; Ruben Cornelius Siagian
JRST (Jurnal Riset Sains dan Teknologi) Volume 7 No. 2 September 2023: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v7i2.16922

Abstract

This study employs regression analysis to investigate the relationships between carbon dioxide levels, sunspot occurrences, and global temperatures, encompassing both land and sea. By uncovering these connections, the study contributes to our understanding of climate change and solar phenomena interactions. The primary objective is to reveal the intricate associations between these elements, potentially influencing climate change and solar activity. The study's outcomes have significant implications for climate change research and solar activity monitoring. The positive correlation between carbon dioxide concentration and ocean temperatures emphasizes the impact of atmospheric carbon dioxide on sea temperature fluctuations. Conversely, the inverse correlation between sunspot numbers and land/global temperatures suggests solar activity's potential role in shaping Earth's temperature oscillations. This research introduces novelty by concurrently investigating the interconnectedness of these factors. The study establishes substantial connections between carbon dioxide concentration, sunspot numbers, and global temperatures. While the models shed light on some variability, the complexity of climate change and solar activity calls for further exploration of additional factors. This underscores the need to consider multiple variables for a comprehensive understanding. Further research is recommended to enhance the precision of these models.