The 18th IMT-GT International Conference on Mathematics, Statistics and their Applications
Book of Applied Statistics
The 18th ICMSA 2023 emphasized the critical role of statistical science in advancing the Sustainable Development Goals (SDGs). The conference highlighted how data science and statistical methods are essential for solving real-world problems and achieving sustainable development. The event aimed to enhance the research output of Universitas Syiah Kuala, foster a collaborative research environment, and facilitate scientific exchange with international scholars.
Frontmatter
Table of Contents
Cubic Spline Knots on Sulawesi Island Land Surface Temperature Decrease Variation
Data Analytics Between Regional Minimum Wage and Poverty Rate Per Province in Indonesia
Depression Detection System for Social Media Users
Reward Shaping for Mobile Robot Navigation Based on Deep Reinforcement Learning
SDDS: Damage Level Determination System for Post-Natural Disaster Sector Based on Building Characteristics
Multi-Output Milk Classification Based on Type and Processing Utilizing Deep Learning and Hyperspectral Acquisition System
Convective Rainfall Estimation From Radar Measurement using Tree-Based Machine Learning
EEG Signal Classification using Principal Component Analysis and Extreme Learning Machine
Valuation of Forest Carbon Stock Baseline in Papua Province Using Geo-AI Generated Dataset
Classification for Seizure Detection on Epilepsy Using Electrocardiogram Signal
Modeling the COVID-19 Transmission Risk in Surabaya and Sidoarjo using Log Gaussian Cox Process
Classification of Sweet and Sour Taste Using Electroencephalography (EEG)
Breast Cancer Classification in Ultrasound Images Based on Deep Neural Network Models
Recursive Feature Elimination with Cross-Validation in Support Vector Machine for Recognizing Food Insecurity Cases in West Java
Modeling of Factors Affecting Stunting in Indonesia Using Spline Truncated Semiparametric Regression
Partial Least Square Structural Equation Modeling Analysis to Investigate Factors Affecting Poverty in Indonesia
Identification of Students Service Satisfaction using Binary Logistic Regression : Case study in Faculty of Mathematics and Natural Science, Universitas Syiah Kuala
Quantile Regression Neural Network (QRNN) and Hybrid NN – QRNN Model for Forecasting Rice Productivity in Indonesia
Optimization of Hybrid Generation System for Alternative Energy Using Elephant Herding Optimization Algorithm
Performance Analysis of Face Recognition Using Machine Learning and Modified Deep Learning Methods
Implementation of DBSCAN and K-Means Algorithm for Clustering Agricultural Drone Flying Areas
Trend Analysis for Indonesia's Inflation Index Using Hierarchical Clustering
Frontmatter
Table of Contents
Cubic Spline Knots on Sulawesi Island Land Surface Temperature Decrease Variation
Data Analytics Between Regional Minimum Wage and Poverty Rate Per Province in Indonesia
Depression Detection System for Social Media Users
Reward Shaping for Mobile Robot Navigation Based on Deep Reinforcement Learning
SDDS: Damage Level Determination System for Post-Natural Disaster Sector Based on Building Characteristics
Multi-Output Milk Classification Based on Type and Processing Utilizing Deep Learning and Hyperspectral Acquisition System
Convective Rainfall Estimation From Radar Measurement using Tree-Based Machine Learning
EEG Signal Classification using Principal Component Analysis and Extreme Learning Machine
Valuation of Forest Carbon Stock Baseline in Papua Province Using Geo-AI Generated Dataset
Classification for Seizure Detection on Epilepsy Using Electrocardiogram Signal
Modeling the COVID-19 Transmission Risk in Surabaya and Sidoarjo using Log Gaussian Cox Process
Classification of Sweet and Sour Taste Using Electroencephalography (EEG)
Breast Cancer Classification in Ultrasound Images Based on Deep Neural Network Models
Recursive Feature Elimination with Cross-Validation in Support Vector Machine for Recognizing Food Insecurity Cases in West Java
Modeling of Factors Affecting Stunting in Indonesia Using Spline Truncated Semiparametric Regression
Partial Least Square Structural Equation Modeling Analysis to Investigate Factors Affecting Poverty in Indonesia
Identification of Students Service Satisfaction using Binary Logistic Regression : Case study in Faculty of Mathematics and Natural Science, Universitas Syiah Kuala
Quantile Regression Neural Network (QRNN) and Hybrid NN – QRNN Model for Forecasting Rice Productivity in Indonesia
Optimization of Hybrid Generation System for Alternative Energy Using Elephant Herding Optimization Algorithm
Performance Analysis of Face Recognition Using Machine Learning and Modified Deep Learning Methods
Implementation of DBSCAN and K-Means Algorithm for Clustering Agricultural Drone Flying Areas
Trend Analysis for Indonesia's Inflation Index Using Hierarchical Clustering