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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

Author-ID : 5830734

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

Published : 14 Documents Claim Missing Document

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OPTIMALISASI RENCANA PEMASANGAN KABEL FIBER OPTIC DI ITERA DENGAN ALGORITMA PRIM Dewi Suhika; Triyana Muliawati; Heru Ruwandar
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 9, No 1 (2020)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Kabel fiber optic (FO) digunakan sebagai tulang punggung jaringan komputer Institut Teknologi Sumatera (ITERA). Salah satu perencaannya adalah dengan mengukur jarak antar gedung yang akan ditarik kabel FO. Tujuan dari penelitian ini adalah mengetahui bentuk graf pada jaringan kabel FO dan mengetahui jarak terpendek antar gedung, sehingga dapat meminimalkan biaya dalam pemasangan kabel FO di ITERA dengan menggunakan algoritma Prim. Algoritma Prim digunakan untuk mencari jarak terpendek dari sebuah graf yang telah dimodelkan dengan memberi bobot pada jarak antar gedung sehingga membentuk suatu graf berbobot yang kemudian ditentukan Minimum Spanning Tree (MST). MST merupakan masalah optimasi yang bertujuan mencari Spanning Tree dengan jumlah bobot paling kecil dari sebuah graf. Hasil penelitian menunjukan jika menggunakan algoritma Prim diperoleh minimum spanning tree dengan total jarak 16.503 meter, dari graf awal ada 88 titik dan 84 sisi dengan total panjang jaringan 18.448 meter. Ada perbedaan total jarak yaitu 1945 meter, sehingga dapat disimpulkan bahwa algoritma Prim dapat digunakan sebagai metode untuk menemukan jaringan yang optimal pada jaringan FO ITERA.Kata kunci: algoritma Prim, fiber optic, graf, graf berbobot, minimum spanning tree.

A graph theory approach to the dormitory room placement problem Sri Efrinita Irwan; Triyana Muliawati
Journal of Science and Applicative Technology Vol 2 No 1 (2019): ICoSITeR Special Edition
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

One of the important areas in mathematics is graph theory. A graph is a mathematical structure used to model pairwise relations between objects. The theory of graph can be applied in various problems. The purpose of this paper is to solve the dormitory room placement problem using graph theory approach. In this paper, there are two factors used to determine the student room, i.e. the study program and provincial origin.

The Effects of Development Program in ITERA Dormitory for Student Learning Achievements in First Year Stage Course Triyana Muliawati; Dewi Suhika
Journal of Science and Applicative Technology Vol 2 No 1 (2019): ICoSITeR Special Edition
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

The development of student character starts from education process in campus life and residence. The environment is less comfortable and effective in the learning process will affect student achievement. To overcome this, the Institute of Technology of Sumatra (ITERA) provides a new student dormitory which one of the place that can provide an effective learning environment because the coaching programs provided such as peer tutors aim to develop learning achievement in TPB Program. The relationship of coaching program in the dormitory to student achievement on First Year Stage Course (TPB) can be analyze use simple regression method. The data that used in this method are questionnaire, mid test score and final test, especially in Basic Mathematics. The results of the analysis stated that the coaching program at the Dormitory resulted in higher learning achievement than those outside the dormitory.

Fungsi Densitas Peluang Temporal (T-PDF) dari Dinamika Euro terhadap Dolar Amerika Serikat Triyana Muliawati; . Kartono; Edi Cahyono
Journal of Science and Applicative Technology Vol 3 No 1 (2019): Journal of Science and Applicative Technology August Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

In this paper we discuss the dynamics of exchange rate of Euro (EUR) relative to United States dollar (USD). The data is observed from daily data in the period 1 January 2005 to 31 December 2012. In this period of global financial crisis which is affected the global economy. Therefore, an understanding of the exchange rate of EUR relative to USD is required. The Data is presented in the form of a diagram of a candlestick (candle). Statistical analysis on a mean of exchange rate of EUR relative to USD is applied to each monthly candle representation. The mean may vary per candle, which means that the mean as a function of time. A function of mean relative to time so commonly referred to as a moving average, or a trend. The continous of a trend is approached with linear interpolation and polynomial interpolation is based on the mean of the candle every month. The mean and standard deviation of exchange rate of EUR relative to USD generates a probability density function (pdf). A pdf is based on the assumption that the dynamics is normally distributed. The mean is dependent on time is called temporal probability density function (t-pdf). The trend of the dynamics of exchange rate of EUR relative to USD is implicitly represented in the t-pdf. By knowing t-pdf will help investors know the dynamics of the exchange rate of the EUR against the USD. Keywords: dynamics, exchange rate, candlestick, t-pdf

DEVELOPMENT OF THE PUGUNG RAHARJO ARCHAEOLOGICAL PARK IN LAMPUNG PROVINCE WITH GEOPARK AND ASTROTOURISM CONCEPT R Ikhram; Harbowo; Lestari; Agustina; Hutama; Prastyo; Yusuf; Natalia; Muliawati; Muztaba; Puradimadja; Raharto; Malasan
International Journal of Geotourism Science and Development Vol. 1 No. 2 (2021): December 2021
Publisher : Badan Pelaksana Rinjani-geopark Rinjani Lombok

Pugung Raharjo Archaeological Park is an archaeological site covering a 30 hectares area in East Lampung Regency, Lampung Province. There is some evidence of the megalithic era, also called the stepped pyramid of Pugung Raharjo discovered in 1957. There are other megalithic buildings from the 12th to 16th centuries AD, including menhirs and dolmen and prehistoric remains dating back to 2500 BC. From a geological perspective, Pugung Raharjo Archaeological Park was built on the extent of vesicular basalt lava of the Sukadana Formation, which is situated above the top of the Sukadana Basalt Plateau. These stones even have a local designation referred to as 'curly stones' because of their rough texture and vesicular holes. Due to its good strength and adhe-sion, the people of East Lampung use this stone as their house foundation. These stone is also used to make pundan berundak, menhirs, dolmen and others. The use of local stone for buildings and daily life tools shows a strong connection between geological and cultural aspects. The Pugung Raharjo Site area is also a very suitable location for astronomical observations because of the low level of light pollution. Moreover, according to history, people have been familiar with astronomy in their daily lives, such as wor-ship, time markers, navigation, or directions. This gives reach to a hypothesis about the possibility of this ancient society's astro-nomical knowledge manifested in determining each object's position in an area with specific constellation patterns. Based on its potential, Pugung Raharjo Archaeological Park is very suitable for developing the Geopark concept, which integrates geological, biological, and cultural aspects.

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

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.

Analisis Rantai Markov dalam Memprediksi Status Pasien COVID-19 di Indonesia Nabila Nurita Putri; Triyana Muliawati
Indonesian Journal of Applied Mathematics Vol 1 No 2 (2021): Indonesian Journal of Applied Mathematics Vol. 1 No. 2 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.v1i2.352

COVID-19 is an infectious disease caused by a new type of corona virus, beta coronavirus. The spread of COVID-19 can occur through human interactions. On March 9, 2020 the WHO (World Health Organization) officially declared COVID-19 a pandemic. This means that COVID-19 has spread widely in the world. Until now, there has not been found a drug to treat COVID-19. So, it is necessary to predict when the COVID-19 pandemic will end. This study discusses the Markov chain method in predicting the status of COVID-19 patients in Indonesia. The prediction of the number of people who are positive for COVID-19, recovered, and die can be one of the government's bases for determining when the large-scale social restrictions (PSBB) will end. The results of the study stated that the COVID-19 pandemic in Indonesia would end at the end of 2020. On December 5, 2020 there were no more people infected with COVID-19 with a cure rate of 29.815% of patients with COVID-19 and a death rate of 3, 5933%.

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

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

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.

CLASSIFICATION OF THE GEOCHEMICAL COMPOSITION OF METEORITE OF PUNGGUR (ASTOMULYO) BY k-NEAREST NEIGHBOR ALGORITHM Triyana Muliawati
VARIANCE: Journal of Statistics and Its Applications Vol 5 No 2 (2023): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol5iss2page185-192

The fall of a meteorite in Astomulyo Village, Punggur, Lampung Province in early 2021 is an interesting topic for further study. This rare object has been suggested to have a unique geochemical composition and a special connection with other meteorites. We aimed to trace its classification by comparing it with other well-known meteorites studied previously. We approach the classification process using the k-nearest neighbor algorithm. The database used 211 represents the geochemical data for each known meteorite group from chemical analyses of meteorites. As a result, we identified that with a k-value = 5 and the proportion of test data 5/95 (in %), the geochemical composition of this meteorite is relatively close to that of the H-type chondrite group with a value accuracy of 91.67%. These results are consistent with the fact that the meteorite of Punggur has a high total iron and metallic composition.

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

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