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All Journal Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam Interdisciplinary Explorations in Research Journal (IERJ)
Surya Alenta Nababan
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Religion Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Education Immunology & microbiology Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Peramalan Bencana Alam di Kota Semarang dengan Menggunakan Markov Chains Suci Ramadhani; Surya Alenta Nababan; Yasmin Azzahra; Sisti Nadia Amalia
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3519

Abstract

Indonesia, as a country with complex geological conditions due to the convergence of various tectonic plates, is highly susceptible to natural disasters such as earthquakes, tsunamis, and volcanic eruptions. The city of Semarang, as the capital of Central Java Province, also frequently faces disasters such as floods, landslides, and earthquakes. Predicting the occurrence of natural disasters becomes crucial to mitigate the negative impacts they cause. This study uses the Markov chain method to predict natural disasters in the city of Semarang based on disaster data from 2018-2022. The prediction results indicate a 16% chance of floods, 34% chance of landslides, 10% chance of tornadoes, 22% chance of fires, and 17% chance of falling trees in 2023. Validation of the predictions against actual data for 2023 shows a relatively good match for floods and fires, but there are significant differences in the predictions for tornadoes and falling trees. These results indicate that the Markov chain method has potential in predicting disaster occurrences, but accuracy improvements are needed to account for weather variability and dynamic environmental factors. This research is expected to assist the government and society in enhancing disaster preparedness and mitigation in the future.
Hubungan Antara Tingkat Penggunaan Media Sosial dengan Tingkat Produktivitas Mahasiswa dalam Menyelesaikan Tugas Akademik Suci Ramadhani; Surya Alenta Nababan; Yasmin Azzahra; Sisti Nadia Amalia
Interdisciplinary Explorations in Research Journal Vol. 2 No. 3 (2024)
Publisher : PT. Sharia Journal and Education Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62976/ierj.v2i3.790

Abstract

Social media has become an integral part of students' lives, serving as a tool for communication, a source of information, and a means of entertainment. This study aims to analyze the relationship between the level of social media usage and students' productivity in completing academic tasks. The research employs a descriptive correlational quantitative approach, with data collected through online questionnaires using ordinal scales. The respondents were active students from various universities. The analysis was conducted using Spearman's Rank correlation test and the t-test for significance. The results show a moderate positive relationship between social media usage and academic productivity, with a Spearman's Rank correlation coefficient (rₛ) of 0.483. The significance test indicates a t-value of 3.819, which is greater than the critical t-value of 1.677 at the 5% significance level. This demonstrates that the relationship found is statistically significant. The study concludes that prudent use of social media can contribute to enhancing students' productivity in completing academic tasks, although the relationship is not particularly strong. The implications of this study highlight the importance of time management and social media activity regulation to optimally support academic productivity.
Co-Authors Sisti Nadia Amalia Suci Ramadhani Yasmin Azzahra