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31	Mathematics and Applications	ABS-67
Exploring the CHAID Method in Detecting the Strength of Relationships among Factors Associated with the Prevalence of Undernourishment Rahmat Trianto1, Dian Cahyawati1*, Eka Susanti1, Alfensi Faruk1 Universitas Sriwijaya, Faculty of Mathematics and Natural Sciences, Department of Mathematics Abstract Data from Statistic Indonesia (BPS) in 2024 show disparities in the Prevalence of Undernourishment (PoU) across regions in Indonesia. These disparities indicate that there are still challenges and obstacles in achieving the second goal of the Sustainable Development Goals (SDGs), namely Zero Hunger. This issue highlights the need for further studies to identify the factors influencing variations in PoU levels in Indonesia. This study aims to explore the factors that are strongly associated with PoU levels using the Chi-Square Automatic Interaction Detection (CHAID) method. The secondary data analyzed were obtained from the official websites of Statistics Indonesia (BPS) and National Food Agency (NFA). The observed variables include rice production, population density, percentage of poor population, percentage of per capita food expenditure, food consumption pattern score, Human Development Index , and Food Security Index across regions in Indonesia. The CHAID analysis, presented through a dendrogram, produced 23 nodes, consisting of 14 terminal nodes representing the final classification of PoU levels in Indonesia. The results show that five factors are closely related to PoU levels. The most influential factor associated with PoU is the Food Security Index, followed by Percentage of Poor Population, Population Density, Human Development Index, and Food Consumption Pattern score. These findings support the reference that the CHAID method can be used as an exploratory tool to describe the structure of relationships among variables, starting from the strongest to the weakest associations related to undernourishment. The results are expected to provide additional insights for policymakers in formulating national food security policies that align with the second goal of the SDGs. Keywords: Chi-Square, Data Exploration, CHAID Dendrogram, Prevalence of Undernourishment. Share Link | Plain Format | Corresponding Author (Dian Cahyawati S.)

32	Mathematics and Applications	ABS-68
Comparison of Classification Results of Categorical Boosting and Extreme Gradient Boosting Methods in Obesity Class Diagnosis P Jonatan, Giska Auria, Anita Desiani, Ali Amran, Indri Ramayanti, Irmeilyana Universitas Sriwijaya Abstract Obesity, caused by a chronic energy imbalance in which calorie intake exceeds expenditure, is a growing global health problem that negatively impacts quality of life. Early detection is crucial for mitigation. This study compares the performance of the Extreme Gradient Boosting (XGBoost) and Categorical Boosting (CatBoost) algorithms for obesity status classification. The research methodology included data collection, pre-processing, and model evaluation using two validation strategies: percentage split and k-fold cross-validation. The results show the superiority of CatBoost. Using a percentage split, CatBoost achieved an accuracy of 92.53% compared to XGBoost (91.67%). With k-fold cross-validation, CatBoost (91.95%) also outperformed XGBoost (90.46%). Additionally, CatBoost consistently produced superior average values for precision, recall, and F1-score. It is concluded that CatBoost provides a more accurate and robust model for obesity classification compared to XGBoost. Future research could explore feature engineering techniques or other algorithms to further enhance predictive accuracy.n Edit It Again Later Keywords: Boosting Algorithm- CatBoost- Classification- Machine Learning- XGBoost Share Link | Plain Format | Corresponding Author (Anita Desiani)

33	Pharmaceutical and Biomedical Sciences	ABS-63
Polyphenol-Enhanced Konjac-Alginate Hydrogel Scaffolds with Gambir-Derived Iron Oxide Nanoparticles for Wound Hemostatic Management Najma Annuria Fithri, Dina Yulianti K, Tia Ashifa Maharani, Fitrya, Mardiyanto Universitas Sriwijaya Abstract Uncontrolled bleeding remains a major cause of preventable mortality, emphasizing the need for biocompatible hemostatic materials with regenerative potential. This study focused on the formulation and optimization of hydrogel scaffolds based on natural polymers, alginate and konjac glucomannan (KGM), combined with iron oxide nanoparticles (IONP) synthesized from jaras gambir extract as a bioactive component. Two natural polyphenolic cross-linkers were employed: epigallocatechin gallate (EGCG) from green tea (Camellia sinensis) and tannic acid extracted from coconut husk. The EGCG and tannic acid extracts exhibited total phenolic contents of 164.333 mg/L and 3689.27 mg/L gallic acid equivalent, confirming their strong crosslinking potential. A 22 factorial design was applied to evaluate the effects of polymer type (alginate or KGM) and cross-linker concentration (0.1-0.5%) on four key parameters: porosity, Blood Clotting Index (BCI), Centrifugal Retention Capacity (CRC), and moisture content. Both systems demonstrated significant effects of polymer and cross-linker concentration on all responses. In the EGCG-based system, the optimal formulation containing KGM and 0.5% EGCG achieved porosity of 1325.673%, BCI of 37.065%, CRC of 340.421%, and moisture content of 22.203%, with a desirability value of 0.944. In the tannic acid system, the KGM-based scaffold at 0.5% cross-linker concentration yielded porosity of 1139.56%, BCI of 39.06%, CRC of 269.97%, and moisture content of 25.05%, corresponding to an overall desirability of 0.74. These results indicate that polyphenolic cross-linkers significantly enhance scaffold network density, porosity, and hemostatic responsiveness while reducing residual moisture. The optimized KGM-polyphenol hydrogel scaffolds reinforced with gambir-derived IONP show great potential as natural, biocompatible, and tunable hemostatic biomaterials for advanced wound management applications. Keywords: hemostatic biomaterial, hydrogel scaffold, iron oxide nanoparticles, konjac glucomannan, tannic acid Share Link | Plain Format | Corresponding Author (Najma Annuria Fithri)

34	Physics and Applied Physics	ABS-2
Linear Calibration Modeling of BME280 Sensor for Accurate Environmental Data Acquisition Hadi, Octavianus Cakra Sayta, Hadir Kaban, Rendy Apriansyah, Aflonita Suhana Department of Physics, Faculty of Mathematics and Natural Sciences, Sriwijaya University Indonesia Abstract Environmental monitoring systems require accurate measurements of temperature, humidity, and air pressure to support reliable data analysis and decision-making. The BME280 sensor, developed by Bosch Sensortec, is widely used in Internet of Things (IoT) applications due to its compact design and low power consumption. However, sensor readings may drift over time, necessitating calibration to ensure validity. This study presents a linear calibration modeling approach for the BME280 sensor integrated with NodeMCU ESP32 and a P10 display panel. Calibration was performed by comparing sensor outputs with reference instruments, followed by regression-based correction modeling. Results demonstrated high accuracy: 98.24% for temperature, 98.37% for humidity, and 99.91% for air pressure, alongside excellent precision and low bias values. The findings confirm that linear calibration modeling significantly enhances the reliability of BME280-based environmental monitoring systems. Keywords: Environmental monitoring, BME280 sensor, Calibration modeling, NodeMCU ESP32, Regression-based correction Share Link | Plain Format | Corresponding Author (Hadi Hadi)

35	Physics and Applied Physics	ABS-7
Seismic Hazard Analysis Based on Peak Ground Acceleration and Modified Mercalli Intensity in North Bengkulu Regency, Bengkulu Province Arif Ismul Hadi, M. Farid, Refrizon, Budi Harlianto, Darmawan Ikhlas Fadli, Hana Raihana, Andre Rahmat Al-Ansori, Dama Rahma Sagita, Erlan Sumanjaya, Reni Mulyasari Faculty of Mathematics and Natural Sciences, the University of Bengkulu Abstract Geophysics Keywords: Seismic hazard, PGA, MMI, HVSR method, disaster Share Link | Plain Format | Corresponding Author (Arif Ismul Hadi)

36	Physics and Applied Physics	ABS-14
Synthesis and Characterization of Ni0.5Co0.5Tio3 Composite with Polyvinyl Alcohol (PVA) as Microwave Absorber Melenia Tambunan1, Atri Yani1 , Yunasfi2 , and Ramlan*1 1) Department of Physics, Faculty of Mathematics and Natural Sciences, Sriwijaya University , South Sumatera 30662 Indonesia. 2) Pusat Riset Material Maju Badan Riset dan Inovasi Nasional (PRMM - BRIN), PUSPITEK, South Tangerang 15314 Indonesia. Abstract Ni0,5Co0,5TiO3 composites are included in the category of magnetic materials with a perovskite structure that has great potential as a microwave absorber. Ni0,5Co0,5TiO3 as a magnetic material exhibits superior magnetic and dielectric properties, which are important for reducing electromagnetic interference (EMI). To improve the electromagnetic properties of Ni0,5Co0,5TiO3 composites, mixing with conductive polymers such as Polyvinyl Alcohol (PVA) is carried out. This research involves the synthesis process of Ni0,5Co0,5TiO3 by a solid-state reaction method using mechanical milling techniques. The characterization process includes analysis of crystal structure, micro morphology, and microwave absorption capacity. The addition of PVA in this composite aims to increase the flexibility of the material while maintaining its absorption capacity. Based on the research that has been done, the physical and electromagnetic properties of the composite are greatly influenced by the synthesis method, particle morphology, and the distribution of cations in the crystal structure. This research focuses on the effect of the combination of Ni0,5Co0,5TiO3 with PVA on microwave absorption efficiency, which is measured by the reflection loss value. Keywords: Ni0.5Co0.5TiO3, Polyvinyl Alcohol, Microwave Absorber, Mechanical Milling, Material Characterization. Share Link | Plain Format | Corresponding Author (Melenia Tambunan)

37	Physics and Applied Physics	ABS-15
Analysis of the Effect of the Addition of Silicone Carbide (SiC) as a Reinforcement on the Features and Characteristics Composite Ramlan1, Endah Puspita1, Akhmad Aminuddin Bama1, and Melenia Tambunan*1 1) Department of Physics, Faculty of Mathematics and Natural Sciences, Sriwijaya University , South Sumatera 30662 Indonesia. Abstract Al-SiC composites were prepared with variations of SiC addition of 0%, 10%, 15%, and 20% using the powder metallurgy method. The purpose of this study was to determine the effect of SiC addition on Al matrix composites. The characterizations used are density and porosity, hardness, X-Ray Diffraction (XRD), and Scanning Electron Microscope (SEM). Based on the results of density, porosity, hardness, it shows that the Al-SiC composite samples with SiC variations of 0%, 10%, 15% and 20% have densities of 2.98 g/cm3, 3.16 g/cm3, 3.74 g/cm3 and 2.32 g/cm3, while the porosity is 4.30 g/cm3, 0 g/cm3, 0 g/cm3 and 5.07 g/cm3, and the hardness is 5.13 Hv, 528 Hv, 560 Hv, and 560 Hv, respectively. XRD results show that the samples produced multiphase of Al, SiC and SiO2. SEM results show that the Al-SiC composite has a grain size of 1 - 8.50 &#956-m. Keywords: Composite, Al-SiC, powder metallurgy Share Link | Plain Format | Corresponding Author (Melenia Tambunan)

38	Physics and Applied Physics	ABS-25
Analysis of Daily Rainfall Characteristics Based on Quality Controlled Data in Sumatra (1985-2023) Sudirman, Muhammad Irfan, Supari, Hamdi Akhsan, and Vefie Yonalia Putri Doctoral Program in Natural Sciences, Faculty of Mathematics and Natural Sciences, Universitas Sriwijaya, Palembang, South Sumatra, Indonesia- Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Sriwijaya, Palembang, South Sumatra, Indonesia- Meteorology, Climatology, and Geophysics Agency (BMKG), Indonesia- Physics Education Study Program, Faculty of Teacher Training and Education, Universitas Sriwijaya, Palembang, South Sumatra, Indonesia. Abstract This study analyzes daily rainfall characteristics with quality control across Sumatra from 1985 to 2023. Daily rainfall data from 19 BMKG stations across ten provinces, from Aceh to Lampung, were analyzed to ensure reliability and consistency. Quality control procedures addressed common issues such as missing and abnormal data that may bias hydrometeorological analyses. The first and second quality control tests indicated a high data completeness level of 94 percent, categorized as very good. Further tests identified a few outliers with the highest daily rainfall intensities of 470 millimeters per day (Minangkabau), 430 millimeters per day (FL Tobing), 400 millimeters per day (Bengkulu), and 390 millimeters per day (Fatmawati Soekarno), although their occurrences were rare. In southern Sumatra, only single outlier events of 200 to 250 millimeters per day were found. Overall, extreme and very extreme rainfall outliers across Sumatra were below 1 percent, indicating good data quality for subsequent trend analyses. Keywords: rainfall, quality control, outlier, Sumatra, BMKG Share Link | Plain Format | Corresponding Author (Vefie Yonalia Putri)

39	Physics and Applied Physics	ABS-61
Micromagnetic Study on the Influence of Nanowire Width and Dzyaloshinskii-Moriya Interaction on Domain Wall Propagation in CoFeB Nanowires under Nanosecond Current Pulses Della Nurbaiti1, Maria Metantomwate2, Aysa sabrina1, Melenia Tambunan1, Ramlan1, Candra Kurniawan*3 Physics Department FMIPA University of Sriwijaya, Palembang, Indonesia1. Physics Department FMIPA, IPB University2. Research Center for Energy Materials, National Research and Innovation Agency (BRIN), Bld 440, KST BJ Habibie Tangerang Selatan 15314, Banten, Indonesia*3 Abstract The rapid growth of data storage demand necessitates the development of advanced spintronic devices that surpass the limitations of conventional hard disk drives (HDDs) and solid-state drives (SSDs). Among the emerging technologies, Racetrack Memory has gained significant attention due to its potential for achieving ultrahigh density, non-volatility, and low energy consumption. This study investigates the micromagnetic behavior of domain wall (DW) propagation in CoFeB nanowires driven by nanosecond current pulse injection, emphasizing the influence of Dzyaloshinskii-Moriya Interaction (DMI). Micromagnetic simulations were carried out using the Object Oriented Micromagnetic Framework (OOMMF), employing the spin-transfer torque (STT) dynamic model, while the DMI term was incorporated through an extended OOMMF module. The simulation systematically varied nanowire widths, material parameters, and current pulse profiles to examine their effects on DW dynamics. Results indicate that reducing the nanowire width increases domain wall velocity up to an optimal limit, beyond which instability and velocity breakdown occur. The inclusion of DMI enhances DW stability by suppressing distortions during propagation, thereby maintaining a steady velocity even under high current densities. Additionally, nanosecond-scale current pulses are found to be effective in achieving controlled and repeatable domain wall displacement without thermal degradation. These findings provide a deeper understanding of DW motion mechanisms in CoFeB nanowires and underscore the critical role of DMI in improving performance reliability. The insights gained from this work contribute to the design of high-speed, energy-efficient, and scalable racetrack memory architectures for next-generation spintronic data storage systems. Keywords: Racetrack Memory, Domain Wall Propagation, CoFeB Nanowire, Dzyaloshinskii-Moriya Interaction (DMI), Micromagnetic Simulation, Spintronics. Share Link | Plain Format | Corresponding Author (Della Nurbaiti)

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