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Journal : Indonesian Journal of Applied Mathematics

k-Means Clustering to Enhance the Petrified Wood Composition Data Analyses and Its Interpretation Triyana Muliawati; Danni Gathot Harbowo; Andre Markus Fernando Lubis; Juan Daniel Turnip; Erina Rosalia Irda; Adelia Azahra; Yanti Marito
Indonesian Journal of Applied Mathematics Vol 3 No 1 (2023): Indonesian Journal of Applied Mathematics Vol. 3 No. 1 July 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.v3i1.1288

Abstract

Geologically, the fossilization of wood materials into fossils requires appropriate conditions, some of which have been preserved for millions of years. In nature, the organic mass of wood must be quickly replaced by inorganic elements before it decomposes under harsh geological conditions. Anorganic oxides such as silica-oxide, are known to be the main components of most wood specimens (up to 80%). The presence of alkaline oxides such as sodium and potassium oxide seems to play a major role in the presence of dissolved silica during petrification. However, their significance in the petrification phenomenon that occurs in fossilized plant wood is not yet known. Therefore, in this study, cluster analysis was conducted to determine the relationship between the presence of silica and alkaline compounds in petrified wood fossils. The approach used was -means clustering supported by the Elbow Method, which aims to review and order a complex set of data into subsets, thus allowing interpretation. The results showed that the clustering of the fossil wood composition data was optimal at = 3. There is a fair correlation between the presence of silica and alkali oxide compounds (-0.504 to -0.387), as well as with another inorganic compounds (+0.957). The presence of sodium and potassium is strongly correlated during silicification (+0.905). Additionally, the results of data clustering made the wood fossilization process susceptible to describe, especially through data regression. The data visualization provides more facts and proper explanations of the role of alkaline oxides in wood silicification. This study furthers our understanding of wood fossilization, especially the diagenesis of wood chemical composition in geological history.
Pengaruh Hubungan E-learning Dalam Mata Kuliah MAFIKI di Institut Teknologi Sumatera Menggunakan Metode Wilcoxon Dedy Rudianto; Nabila Nurita Putri; Muhammad Said; Jenika Maulina Anjani; Febi Erliyani; Triyana Muliawati
Indonesian Journal of Applied Mathematics Vol 1 No 1 (2020): Indonesian Journal of Applied Mathematics Vol. 1 No. 1 October 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

Abstract

Tujuan dari penelitian ini adalah untuk menganalisis perbedaan nilai matematika, fisika, dan kimia dasar pada Tahap Persiapan Bersama (TPB) sebelum dan sesudah dilaksanakannya program E-Learning. Program E-Learning merupakan salah satu media pembelajaran di ITERA dengan memanfaatkan teknologi internet yang memungkinkan terjadinya interaksi pembelajaran dari mana dan kapan saja dengan karakteristik interaktif, mandiri, mudah diakses, dan memungkinkan adanya pengayaan melalui internet. Penelitian ini merupakan penelitian kuantitatif, di mana data diperoleh dari web siakad ITERA. Pengolahan data dilakukan dengan menerapkan metode statistika non parametrik yaitu Uji Wilcoxon yaitu pengujian untuk data sebelum dan sesudah pelaksanaan E-Learning. Setelah dianalisa diperoleh kesimpulan bahwa terdapat perbedaan nilai dengan metode konvensional dan metode e-learning. Dimana metode konvensional jauh lebih efektif dibandingkan e-learning.
Analisis Kunjungan Wisatawan Mancanegara melalui Pintu Udara, Laut dan Darat Muhammad Ammar Alkautsar; Sekar Anisa Sely; Della Najunda K.S; Rofi Ilmi Fadhillah; Alfredo Edward Lazuardi; Triyana Muliawati
Indonesian Journal of Applied Mathematics Vol 2 No 1 (2022): Indonesian Journal of Applied Mathematics Vol. 2 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.v2i1.765

Abstract

In early 2020 the COVID-19 outbreak had entered the territory of Indonesia so a lockdown system began to be implemented in several areas to overcome the spread of the Covid-19 outbreak, including on the tourist arrivals route through land gates, air gates, and sea gates. This makes the writer interested in seeing the number of foreign tourists entering Indonesia through land, sea, and air gates in the hope of helping the government in increasing the number of foreign tourists visiting Indonesia by optimizing the facilities and infrastructure on the tourist arrivals route. In this study, the authors looked at the effect on the entrance data of foreign tourists and the trends or changes that existed in the data held. The research was conducted by applying the Kruskal-Wallis test to see the relationship between the entry pathways and the Cox-Stuart test to see changes in the data. These two tests are used because they are following the objectives and existing research data. After the tests were carried out, the results showed that there was a difference between the entry routes, and it was seen that the data had decreased, one of the contributing factors was the PSBB (Large-Scale Social Restrictions) due to the Covid-19 pandemic.
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.