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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika JTAM (Jurnal Teori dan Aplikasi Matematika) Zeta - Math Journal Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat)
Maulidya, Utsna Rosalin
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Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics

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Preferensi Generasi Z Surabaya dalam Keputusan Pemilihan Umum 2024 Berdasarkan Structural Equation Modeling-Partial Least Squares Putri, Larisa Mutiara; Maulidya, Utsna Rosalin; Purba, Gaby Valenia Rosa; Sulaiman, Faizah Jauhar; Mardianto, M. Fariz Fadillah
Zeta - Math Journal Vol 9 No 2 (2024): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.2.60-72

Abstract

Hasil pemilu menentukan pemimpin yang kebijakannya berpengaruh besar pada Indonesia. Generasi Z akan memegang peran penting dalam pemilu karena diprediksi akan menggantikan dominasi politik Generasi Milenial. Berdasarkan Komisi Pemilihan Umum 2023, jumlah suara Generasi Z mencapai 22,85 persen dari total penduduk Indonesia, dengan Jawa Timur sebagai provinsi dengan populasi Generasi Z terbesar kedua. Julukan kota metropolitan tidak bisa terlepas dari ibukota Jawa Timur, walaupun peringkatnya masih di urutan kedua, kota Surabaya memiliki Generasi Z mencakup 28,8 persen dari total pemilih pada Pemilu 2024. Sehingga, penting untuk menganalisis preferensi unik Generasi Z dalam pemberian suara pada Pemilu 2024 di Surabaya. Metode Structural Equation Modeling-Partial Least Squares (SEM-PLS) dipilih karena kemampuannya menguji hubungan kompleks antara berbagai variabel laten dan indikatornya secara simultan. Hasil riset menunjukkan beberapa hasil variabel yang saling berpengaruh yaitu antara faktor internal dan voting choices, faktor eksternal terhadap faktor internal, serta faktor eksternal terhadap preferensi Generasi Z. Temuan ini mengindikasikan bahwa faktor internal seperti pendapatan dan pendidikan, serta faktor eksternal seperti pengaruh teman sebaya dan tokoh terkenal, berperan penting dalam memengaruhi keputusan pemilih Generasi Z di Pemilu 2024 Surabaya. Maka dari itu, pemerintah dapat merumuskan strategi kampanye yang lebih efektif dan inklusif, dengan mempertimbangkan preferensi dan karakteristik khusus dari Generasi Z.
Comparative Analysis of Local Polynomial Regression and ARIMA in Predicting Indonesian Benchmark Coal Price Mahadesyawardani, Arinda; Maulidya, Utsna Rosalin; Marbun, Barnabas Anthony Philbert; Pratama, Fachriza Yosa; Chamidah, Nur
PYTHAGORAS Jurnal Matematika dan Pendidikan Matematika Vol. 19 No. 1: June 2024
Publisher : Department of Mathematics Education, Faculty of Mathematics and Natural Sciences, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/pythagoras.v19i1.74889

Abstract

As one of the world's biggest coal producers, it is essential for Indonesia to follow the trend of benchmark coal price fluctuations for any future possibilities. This study compared two methods of forecasting benchmark coal prices to evaluate the accuracy of the predictions used a nonparametric regression based on the local polynomial estimator and a parametric ARIMA method. Local polynomial analysis obtained a MAPE of 2.929278% using a CV method based on optimal bandwidth of 5.06 at order 2 with a cosine kernel, which means highly accurate forecasting accuracy. As for the ARIMA analysis, the data does not meet the assumption of normality, but forecasting is still continued with the best model ARIMA (1,2,1) model so that the MAPE is 12.6327%, which means good forecasting accuracy. Therefore in this study, the use of nonparametric regression methods using local polynomial estimators on data with non-normal distribution are more suitable to obtain accurate prediction results.
Analisis Dampak Pengenalan "Coding Skills" dalam Meningkatkan Minat Pendidikan Tinggi Siswa SDN Tanjungsari 2 Maulidya, Utsna Rosalin; Dita Amelia
Jurnal Teknologi Informasi untuk Masyarakat Vol. 3 No. 2 (2025): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v3i2.33099

Abstract

Merdeka Belajar Kampus Merdeka (MBKM) a policy through the Teaching Assistance (AM) program opens opportunities for students to act as agents of change, one of which is by assisting schools in adapting technology. Specifically in the subject of Information and Communication Technology (ICT). This study aims to analyze the impact of introducing basic "Coding Skill" on improving students' understanding and interest in computational thinking skills, as well as their motivation to continue to higher education. This AM activity was carried out at SDN Tanjungsari 2 with 26 sixth-grade students for a total of 27 face-to-face meetings, or approximately two months. Students applied an interactive learning system through hands-on practice using programming software such as OSR-R and ScratchJr. The learning method was adjusted to address the characteristics of sixth-grade students, who tend to lack focus and get bored easily. Techniques such as visual demonstrations, interactive discussions, and rewards were used. The results of the study using a paired t-test showed that there was a significant difference between the pre-test and post-test results. This means that learning coding can increase students' interest and motivation to continue on to higher education. Students' understanding of the new ICT material they have learned has also improved significantly. All students also unanimously agreed that learning programming is exciting, so they are interested in exploring it further because they understand the benefits of higher education itself. This interactive method successfully overcomes the problem of students' lack offocus and increases their enthusiasm for learning. In addition, this program also contributes to accelerating Sustainable Development Goal (SDG) 4, which is the achievement of quality education.
Exchange Rate Prediction of BRICS Countries against US Dollar Based on Multiresponse Fourier series Estimator Mardianto, M. Fariz Fadillah; Maulidya, Utsna Rosalin; Ginzel, Bryan Given Christiano; Putra, Mochamad Rasyid Aditya; Pusporani, Elly; Miswan, Nor Hamizah
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i2.36983

Abstract

The dominance of the US dollar (USD) as the global reserve currency has begun to face structural challenges since the 2007-2008 financial crisis, which triggered the strengthening of the BRICS alliance. Although this alliance now controls 35% of the world's GDP and is actively pursuing de-dollarization, analysis of the volatility of their collective currencies is often limited to univariate parametric models that fail to capture inter-country dependencies and complex periodic fluctuation patterns. This study aims to fill this gap by applying a nonparametric multiresponse Fourier series regression to simultaneously model the interdependence of the five major BRICS currencies against the USD. Using weekly secondary data from June 2009 to February 2025 (817 observations) from investing.com, this study positions time as the predictor and the exchange rates of the five BRICS currencies as the response. The analysis results show that the best estimation model is obtained through a sine function without a trend component with an optimal oscillation parameter k=1, based on a minimum Generalized Cross Validation (GCV) value of 0.000702363. The prediction results from the training data produce a MAPE value of 4.7521%, which classifies the analysis as highly accurate. These findings strategically support the validation of the de-dollarization movement, providing a predictive instrument for developing countries to reduce their dependence on the USD, as well as strengthening the bargaining position of Eastern economies in a more multipolar international financial order.
Assessment of Dietary Intervention Effects on Food Intake in Mus musculus using Repeated Measures ANOVA Suliyanto, Suliyanto; Amelia, Dita; Arrofah, Aini Divayanti; Alisiah, Rindiani Ahmada; Anida, Nuzulia; Maulidya, Utsna Rosalin
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i4.32467

Abstract

The prevalence of type 2 diabetes, metabolic syndrome, along with obesity that causes disturbances in the body's metabolic processes are the main triggers of chronic liver disease or in scientific language called Non-Alcoholic Fatty Liver Disease (NAFLD), getting out of control. This makes managing this disease an increasingly serious global health challenge. One of the main factors influencing this condition is a high-fat diet and an unhealthy lifestyle. Therefore, evaluation of high-fat diet programs on metabolic parameters such as food intake patterns is important as a preventive measure. This study aims to analyze the differences in food intake levels with seven different types of dietary treatments for 28 days, which were tested on mice (Mus musculus) which have physiological and biochemical characteristics that almost resemble humans. The method used was analysis of variance (ANOVA) for longitudinal data to evaluate the dynamics of food consumption across diet groups and observation periods. The results showed that the type of dietary treatment significantly influenced food intake patterns over time, indicating that diet composition plays a crucial role in shaping eating behavior. These findings highlight the importance of both diet type and treatment duration in influencing consumption patterns. However, since this study has not yet identified the most effective dietary regimen, future research is recommended to investigate diet types with high variability, while considering additional factors such as age, sex, and physiological characteristics, as well as extending the observation period to better understand long-term impacts.
Co-Authors Alisiah, Rindiani Ahmada Anida, Nuzulia Arrofah, Aini Divayanti Dita Amelia Dita Amelia, Dita Elly Pusporani Ginzel, Bryan Given Christiano M. Fariz Fadillah Mardianto Mahadesyawardani, Arinda Marbun, Barnabas Anthony Philbert Miswan, Nor Hamizah Nur Chamidah Pratama, Fachriza Yosa Purba, Gaby Valenia Rosa Putra, Mochamad Rasyid Aditya Putri, Larisa Mutiara Sulaiman, Faizah Jauhar Suliyanto Suliyanto