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All Journal Journal of the Indonesian Mathematical Society Jurnal Sains Matematika dan Statistika Journal of Evidence - Based Nursing and Public Health
Setyowisnu, Glagah Eskacakra
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Mathematics Nursing Public Health

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Simulation of Tsunami Waves Generated by Landslide Movements on a Flat Bottom Sulvianuri, Rani; Setyowisnu, Glagah Eskacakra; Pudjaprasetya, Sri Redjeki
Journal of the Indonesian Mathematical Society Vol. 31 No. 1 (2025): MARCH
Publisher : IndoMS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jims.v31i1.1897

Abstract

Disasters like tsunamis are typically triggered by tectonic earthquakes, volcanic eruptions, or landslides. Tsunami waves can hit the coast with enormous energy, causing great damage. This study focuses on landslide-generated wave phenomena; the analytical formula of the linear dispersive model is adopted and used to simulate the development of free surface waves due to bottom landslides. Various types of landslide motion were simulated over a flat bottom depth and the resulting surface wave forms were examined and compared with the far-field leading wave type of solution. In addition, the effect of wave dispersion on the resulting wave pattern was investigated.
Pengelompokan Kabupaten/Kota di Provinsi Jawa Barat Berdasarkan Tingkat Pengangguran Terbuka Tahun 2023 Menggunakan K-Means Clustering Fatimah, Gusmiati Husnul; Setyowisnu, Glagah Eskacakra
Jurnal Sains Matematika dan Statistika Vol 11, No 2 (2025): JSMS Juli 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v11i2.35653

Abstract

Pengangguran adalah salah satu masalah serius yang dihadapi oleh bayak negara, termasuk Indonesia. Dari banyak provinsi di Indonesia, Jawa Barat termasuk dalam provinsi dengan jumlah penduduk yang besar dengan variasi pengangguran yang tinggi. Mengingat masalah tersebut cukup besar, pemerintah perlu merancang kebijakan efektif, spesifik, dan tepat sasaran dengan acuan yang sesuai. Oleh karena itu, pada penelitian ini dilakukan analisis pengelompokan kabupaten/kota di Provinsi Jawa Barat berdasarkan pengangguran terbuka dengan menggunakan metode K-means clustering. Data yang digunakan mencakup jumlah pengangguran terbuka usia 15 tahun ke atas menurut tingkat pendidikan yang diperoleh dari Badan Pusat Statistik (BPS) tahun 2023. Analisis dilakukan dengan bantuan software IBM SPSS Statistic 26 dan RStudio. Penentuan banyak klaster optimal dilakukan menggunakan metode elbow, yang dilakukan dengan menghitung nilai Within-cluster Sum of Squares, kemudian hasilnya divisualisasikan dalam bentuk kurva untuk membantu menentukan banyak klaster optimal. Perhitungan tersebut menghasilkan tiga klaster dengan karakteristik pengangguran yang berbeda, di mana klaster 1, 2, dan 3 secara berturut-turut merupakan klaster pengangguran rendah, tinggi, dan sedang, serta terdiri dari 16, 7, dan 3 kabupaten/kota pada setiap klaster tersebut. Hasil ini diharapkan dapat menjadi acuan pemerintah daerah dalam merancang kebijakan untuk menurunkan tingkat pengangguran di Jawa Barat.
Stability analysis of Monkeypox virus transmission dynamics using the SEIVR approach Setyowisnu, Glagah Eskacakra; Saputro, Isnu Aji; Fikri, Mohamad Izudin; Rahmawati, Rahayu Nur; Ramdhanu, Ade Bagus
Journal of Evidence-based Nursing and Public Health Vol. 2 No. 2: (August) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jevnah.v2i02.2025.1837

Abstract

Backgorund: Monkeypox is a zoonotic infection caused by the monkeypox virus (MONKEYPOXV), which has the potential to be transmitted from animals to humans. This virus can be transmitted through direct contact with infected animals such as monkeys, rats, and squirrels. In 2023, the World Health Organization classified monkeypox as a global pandemic, prompting stricter prevention measures worldwide. Given the significant increase in the number of cases and the challenges in controlling the spread of the virus, this study aims to develop a SEIVR (Susceptible, Exposed, Infected, Vaccinated, Recovered) mathematical model that can describe the dynamics of the spread of the monkeypox virus in Indonesia. Methods: There are two cases of the SEIVR model that will be studied; those are disease-free and endemic cases. From the cases, the stability of the model will be found. The Routh-Hurwitz criterion will also be used to analyze the stability due to the complexity of the eigenvalues. Findings: In the study conducted, simulations indicated that the infected population would coexist or remain for a fairly long time. This phenomenon is caused by the stable nature of the model. The dynamics of the model can also be seen by considering the obtained reproductive number. Although the infected population persists for a long time, the numbers are quite low. Conclusion: Vaccination does not have a significant impact. Therefore, further research using a treatment compartment or virus transition in rodents needs to be conducted for further study. Novelty/Originality of this Article: The novelty of this research lies in the use of the SEIVR model to map the spread of monkeypox in Indonesia and analyze its stability using the Routh-Hurwitz criteria and numerical simulations. This approach provides an initial overview of case persistence and vaccination effectiveness.
Co-Authors Fatimah, Gusmiati Husnul Fikri, Mohamad Izudin Rahmawati, Rahayu Nur Ramdhanu, Ade Bagus Saputro, Isnu Aji Sri Redjeki Pudjaprasetya, Sri Redjeki Sulvianuri, Rani