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All Journal AKSIOMA: Jurnal Program Studi Pendidikan Matematika Journal of Science and Applicative Technology Variance : Journal of Statistics and Its Applications Journal of Science and Technology Journal of Fundamental Mathematics and Applications (JFMA) International Journal of Geotourism Science and Developmen Indonesian Journal of Applied Mathematics TeknoKreatif: Jurnal Pengabdian kepada Masyarakat
Muliawati
Department of Mathematics
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Pelatihan Tes Potensi Skolastik (TPS) di SMA Al Huda Jati Agung, Lampung Selatan Mustika, Mira; Noor, Dear Michiko Mutiara; Arfi, Eristia; Muliawati, Triyana; Anggraini, Retno
TeknoKreatif: Jurnal Pengabdian kepada Masyarakat Vol 3 No 1 (2023): TEKNOKREATIF : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LP2M), Institut Teknologi Sumatera, Lampung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/teknokreatif.v3i1.776

Abstract

Salah satu permasalahan calon mahasiswa yang mengikuti Ujian Tulis Berbasis Komputer (UTBK) yakni dihadapkan pada soal tes potensi skolastik (TPS) yang secara khusus tidak dipelajari selama sekolah. TPS merupakan ukuran referensi standar yang menggabungkan komponen kemampuan dan kecepatan. Hal ini pula yang dirasakan oleh siswa-siswa SMA Al Huda Jati Agung, Lampung Selatan. Di sisi lain, soal TPS memberikan kontribusi yang relatif besar dalam UTBK. Oleh sebab itu, diperlukan pelatihan TPS sebagai bentuk pengabdian masyarakat untuk meningkatkan kemampuan siswa dalam penalaran dan kemampuan umum lainnya. Pelatihan TPS dilaksanakan secara luring, sebanyak tiga kali. Dari evaluasi akhir, hasil pelatihan tes potensi skolastik (TPS) di SMA Al Huda Jati Agung yakni terjadi peningkatan jumlah siswa yang berhasil menjawab benar dibandingkan sebelum diberikan pelatihan.
Recognition of Voronoi Cell Distribution in Earthquake Epicenter Data in the Sunda Strait Region, Indonesia Muliawati, Triyana; Lestari, Fuji; Harbowo, Danni Gathot; S, Mika Alvionita
JOSTECH Journal of Science and Technology Vol 4, No 2: September 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i2.9830

Abstract

The Sunda Strait is currently one of the busiest transportation hubs. However, this area has a significant history of geological disasters caused by the dynamic tectonic activity of the Eurasian and Indo-Australian tectonic plates. These disasters include the supervolcanic eruption of Krakatoa in 1883, the Sunda Strait tsunami in 2018, and decades of frequent earthquakes. To address these challenges, this study analyzes the frequency and distribution of seismic activity in the Sunda Strait region based on epicenter data recorded in the United States Geological Survey (USGS) Earthquake Catalog. We collected 440 multivariate earthquake data points between 1990 and 2023 (over three decades). The results of this study show that a machine learning approach accurately identified four relevant parameters for k-means clustering, followed by a silhouette value analysis to recognize the distribution of Voronoi cells. Based on earthquake data from the Sunda Strait from 1990 to 2023, the two highest silhouette analysis values, 0.40 and 0.39, are located at k=3 and k=5 in k-means clustering. This approach has recognized and identified the cell area of earthquake activity in the Sunda Strait, particularly around Anak Krakatoa. This study provides new insights into the spatiotemporal characteristics and identifies clusters of earthquake-prone areas. The information generated in this study facilitates the evaluation of future earthquake disaster risks, especially those with epicenters in the Sunda Strait region.
Estimasi Jumlah Mismanaged Plactic Waste (MPW) Berdasarkan Kenaikan Populasi: Studi Kasus 30 Negara Tahun 2019-2022: Studi Kasus 30 Negara Tahun 2019-2022 Muliawati, Triyana; Supmawati, Meysi; Rahmawati, Eli; Aula, Naila Tsamrotul
Indonesian Journal of Applied Mathematics Vol. 4 No. 1 (2024): Indonesian Journal of Applied Mathematics Vol. 4 No. 1 April Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/indojam.v4i1.1175

Abstract

Abstract: Humans have produced more than 8 billion tons of plastic, more than half of which is directly dumped into landfills and only about 9% is recycled. This makes the author interested in looking at the relationship between population and the amount of waste generated in the hope of helping the government in reducing the amount of waste generated. This study aims to estimate the amount of Mismanaged Plastic Waste (MPW) based on population increase, focusing on 30 countries from 2019 to 2022. The Rank Spearman correlation test method was used to evaluate the relationship between population size and the amount of MPW, showing a strong relationship with a correlation coefficient of 0.60712. Furthermore, an analysis using the Cox-Stuart test was conducted to determine the trend in population size from 2003 to 2022, which showed that there was no clear trend in the population data or an upward trend in the time span. Based on these findings, a predictive estimate of the number of MPW for the period 2019-2020 was conducted, providing additional insight into the impact of population growth on the amount of unmanaged plastic waste in these countries.
Recognizing the Spatial Distribution and Voronoi Patterns of the Recorded Earthquake Epicenters in Sunda Strait, Indonesia Muliawati, Triyana; Lestari, Fuji; Alvionita, Mika; Satria, Ardika; Harbowo, DG
Journal of Fundamental Mathematics and Applications (JFMA) Vol 7, No 2 (2024)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jfma.v7i2.21931

Abstract

Currently, Sunda Strait is one of the most active transportation hubs. However, this region also bears a notable history of geohazards associated with the dynamics of tectonic activity of the Eurasian and Indo-Australian tectonic plates, such as the super-eruption of Krakatoa volcano in 1883, the Sunda Strait tsunami in 2018, and decades of frequent earthquakes. To address these challenges, this study conducted a statistical analysis of the frequency and distribution of seismic activities in the Sunda Strait region based on recorded epicenter data in the United States Geological Survey's (USGS) Earthquake catalog. We assembled 440 multivariate earthquake data points between 1990 and 2023 (over three decades). The results of this study indicate that the machine learning approach precisely identifies four relevant parameters for -means clustering, followed by an analysis of silhouette values to recognize Voronoi patterns. These statistical patterns also have significant implications for the number of epicenter clusters and recognizing their spatial distribution. It provides a new understanding of the spatial-temporal characteristics and locates the list of frequent earthquake regions. Having all the necessary information would help to comprehensively evaluate geohazard risks in Sunda Strait region.
Co-Authors . Kartono Adelia Azahra Agustina Alfredo Edward Lazuardi Andre Markus Fernando Lubis Aula, Naila Tsamrotul Danni Gathot Harbowo Dedy Rudianto Della Najunda K.S Edi Cahyono Eli Rahmawati, Eli Erina Rosalia Irda Eristia Arfi Febi Erliyani Fuji Lestari Heru Ruwandar Hutama Irwan, Sri Efrinita Jenika Maulina Anjani Juan Daniel Turnip Lestari Malasan Mika Alvionita Sitinjak Muhammad Ammar Alkautsar Muhammad Said Mustika, Mira Muztaba Nabila Nurita Putri Natalia Noor, Dear Michiko Mutiara Prastyo Puradimadja R Ikhram Raharto Retno Anggraini Rofi Ilmi Fadhillah Satria, Ardika Sekar Anisa Sely Suhika, Dewi Supmawati, Meysi Yanti Marito Yusuf