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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Ilmu Sosial dan Humaniora CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Ketahanan Nasional MUST: Journal of Mathematics Education, Science and Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) J Statistika : Jurnal Ilmiah Teori Dan Aplikasi Statistika G-Tech : Jurnal Teknologi Terapan Inferensi Sains dan Matematika UNP Journal of Statistics and Data Science Jurnal Pendidikan Matematika Economic Development Analysis Journal Limits: Journal of Mathematics and Its Applications
Suliyanto
Department Of Mathematics, Faculty Of Science And Technology, University Of Airlangga, Indonesia
Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Assessment of Dietary Intervention Effects on Food Intake in Mus musculus using Repeated Measures ANOVA Suliyanto Suliyanto; Dita Amelia; Aini Divayanti Arrofah; Rindiani Ahmada Alisiah; Nuzulia Anida; Utsna Rosalin Maulidya
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.
MODELING POVERTY SEVERITY INDEX IN EASTERN INDONESIA BASED ON NONPARARAMETRIC SPLINE TRUNCATED APPROACH FOR PANEL DATA Dita Amelia; Suliyanto Suliyanto; Najwa Khoir Aldawiyah; Kimberly Maserati Siagian; Nadinta Kasih Amalia Suryono; Nadya Lovita Hana Trisa
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 4 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss4pp2919-2936

Abstract

Poverty severity remains a critical issue in Eastern Indonesia, where rates are consistently higher than in other regions. This study examines the Poverty Severity Index (P2) using parametric panel regression and nonparametric truncated splines for panel data across 17 provinces for the period 2020 to 2024. The predictor variables include per capita expenditure, mean years of schooling, and unmet need for health services. The secondary data were obtained from the official website of Central Bureau of Statistics (BPS). The parametric FEM produces a within R² of 36.9% and an MSE of 0.00912, which provides a baseline assessment of overall trends and global relationships among variables. In parallel, the first-order truncated spline model with two knot points which produces specific-province models, achieves an R² of 99.87% and an MSE of 0.00044. This model captures detailed province-specific patterns and nonlinearities and offers additional descriptive insight into regional variations in poverty severity. Together, these complementary approaches highlight both global and local dynamics and inform policy decisions that address economic, educational, and healthcare disparities in high-poverty regions especially in Eastern Indonesia.
VECTOR AUTOREGRESSION AND MULTIRESPONSE REGRESSION APPROACHES FOR MODELING GOLD, TIN, AND NICKEL PRICES Suliyanto Suliyanto; Dita Amelia; Gabriella Agnes Budijono; Rere Fetri Damanik
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 4 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss4pp3241-3258

Abstract

The mining sector plays a strategic role in the global economy, especially during periods of high economic uncertainty. Between 2020 and 2024, global markets experienced severe volatility due to the COVID-19 pandemic, geopolitical tensions, energy price shocks, and monetary policy tightening. These conditions intensified price fluctuations in major mining commodities such as nickel, gold, and tin. However, limited empirical research has compared different multivariate modeling approaches for analyzing commodity price dynamics during this volatile period. This study examines the dynamic relationships between nickel, gold, and tin prices and key global factors, namely crude oil prices, the USD exchange rate, and silver prices, using monthly data from January 2020 to December 2024. The VAR model captures temporal interdependencies among variables, while the MRR model examines simultaneous relationships among multivariate response variables. The stationarity and cointegration tests show that all variables become stationary after first differencing and exhibit no long-term equilibrium relationship. The Impulse Response Function (IRF) and Variance Decomposition (VDC) analyses reveal that fluctuations in nickel, gold, and tin prices are primarily driven by their own past values, with minor cross-commodity effects. The MRR results indicate that crude oil and silver prices significantly influence metal price variations, while the USD exchange rate has the strongest overall effect. The comparison across three evaluation metrics shows that the MRR model provides better predictive performance than the VAR model. The MRR model yields higher R² than VAR, which records R² of 0.339, 0.584, and 0.529, with MAPE up to 22.42%. The results demonstrate that the MRR model consistently outperforms the VAR model, providing stronger explanatory power and higher predictive accuracy. These findings highlight the added methodological value of comparing VAR and MRR models and offer practical insights for investors, industry stakeholders, and policymakers in managing commodity price risk under volatile economic conditions.
Comparative Analysis of Parametric and Nonparametric Methods in Modeling Under-Five Malnutrition Prevalence Across Indonesia Dita Amelia; Suliyanto; Adelia Putri Andini; Faya Najwatus Silma; Nafla Nara Yonay; Slavina; Dinnara Chairana Aisha
UNP Journal of Statistics and Data Science Vol. 4 No. 3 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss3/554

Abstract

Malnutrition prevalence among children under five in Indonesia varied widely across provinces in 2024, ranging from 8.70% to 37.00%. Addressing this issue supports the global Sustainable Development Goals (SDGs) agenda, particularly SDG 2 (Zero Hunger) and SDG 3 (Good Health and Well-being). While most studies rely on multiple linear regression, its strict assumption of linearity is often violated in practice. This study conducts a comparative analysis between multiple linear regression and nonparametric penalized spline regression to model the effects of professional-assisted deliveries, safe sanitation access, complete basic immunization, and households at risk of stunting across 36 Indonesian provinces. Cross-sectional data for 2024 from the Central Bureau of Statistics (BPS) were analyzed, using MSE, R², and GCV for model comparison. The multiple linear regression model yielded an MSE of 18.812 and an R²  of 53.03%. Conversely, the penalized spline model (second-order polynomial, three knot points, λ = 0.0004) achieved a substantially lower MSE of 2.653 and a higher R² of 92.31%, demonstrating its superior capability in capturing nonlinear patterns. Regarding predictor significance, both models consistently identified safe sanitation, complete basic immunization, and households at risk of stunting as influential factors. However, professional assisted deliveries showed no significant effect in the nonparametric model. These findings confirm that the penalized spline approach provides more accurate estimates and is better suited for modeling provincial level malnutrition determinants.
Co-Authors Adelia Frielady Yosifa Adelia Frielady Yosifa Adelia Putri Andini Aditya Syarifudin Akbar Agnes Happy Julianto Aini Divayanti Arrofah Aini Divayanti Arrofah Alfi Nur Nitasari Alfredi Yoani Ameliatul 'Iffah Ana, Elly Andreas, Christopher Anisa Laila Azhar Ardi Kurniawan Aulia Ramadhanti Aurellia Calista Anggakusuma Azizah Atsariyyah Zhafira Billy Christandy Suyono Bryan Given Christiano Ginzel Dhyana Venosia Diah Puspita Ningrum Dinnara Chairana Aisha Dita Amelia Dita Amelia Dita Amelia Dita Amelia Dita Amelia Doni Muhammad Fauzi Eko Tjahjono Elly Pusporani Fachriza Yosa Pratama Faya Najwatus Silma Fina Insyiroh Firqa Aqila Hizbullah Fitriana Nur Afifa Gabriella Agnes Budijono Hanny Valida Isryad Yoga Adyatma Jovansha Ariyawan Kimberly Maserati Siagian Kurniawan, Ardi Leni Sartika Panjaitan Lisa Amanda Putri M. Fariz Fadillah Mardianto Made Riyo Ary Permana Maelcardino Christopher Justin Mahfudhotin Mahfudhotin Marcelena Vicky Galena Marwanda, Nadia Dwi Mochamad Rasyid Aditya Putra Mohammad Noufal Ubadah Muhammad Rosyid Ridho Az Zuhro Mutyaravica, Astrid Nabila Nurdin Nadinta Kasih Amalia Suryono Nadya Lovita Hana Trisa Nafla Nara Yonay Najwa Khoir Aldawiyah Na’imatul Lu’lu’a Novianti, Dita Aris Nur Chamidah Nuzulia Anida Permana, Made Riyo Ary Rere Fetri Damanik Rindiani Ahmada Alisiah Sabrina Salsa Oktavia Salma Bethari Andjani Sumarto Sediono, Sediono Slavina Sri Endah Nurhidayati Sugha Faiz Al Maula Syavrilia Alfiatur Rakhma Toha Saifudin Utsna Rosalin Maulidya Victoria Anggia Alexandra Widyangga, Pressylia Aluisina Putri Yosifa, Adelia Frielady Zah, Alfian Iqbal