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Modeling of Human Development Index Using Ridge Regression Method
This article aims to model factors affecting HDI (Human Development Index) in North Sumatera by 2015 using ridge regression method. This ridge regression method is used because in the IPM data there is a... -
Generalized Poisson Regression Type-II at Jambi City Health Office
One statistical analysis is regression analysis. One regression that has the assumption of poisson distribution is poisson regression which has the assumption of poisson distribution. Neonatal deaths are still very... -
Infant Mortality Case: An Application of Negative Binomial Regression in order to Overcome Overdispersion in Poisson Regression
Infant mortality is an indicator to determine the degree of public health. Infant mortality is death that occurs in the period from birth to before the age of one. The high rate of infant mortality indicates that the... -
Multilevel Modeling on Underdispersion Data
Binomial negative regression is able to handle poisson regression problem with underdispersion assumption. When the data has hierarchy and level that need to be calculated, regression is no longer appropriate to... -
Negative Binomial Regression in Underdispersion(Case Study: Neonatal Mortality in Jambi City)
Neonatalis is birth before 28 days of a baby. Factors that are considered to affect neonatal mortality include the number of visits in the 1 st and 3 rd trimester, the number of pregnant women receiving Tetanus... -
Factors Affecting the Number of Infant Morality Cases in West Java for the 2019-2020 Period using Generalized Poisson Regression (GPR)
The number of infant mortality cases is data in the form of counts which is modeled by Poisson regression. There is an assumption that needs to be met, namely equidispersion. Equidispersion is a condition in which... -
Study of Inflation using Stationary Test with Augmented Dickey Fuller & Phillips-Peron Unit Root Test (Case in Bukittinggi City Inflation for 2014-2019)
This classical regression model is designed to handle the relationship between stationary variables and should not be applied to non-stationary series. A time series data is said to be stationary if the mean,... -
Vehicle Inspection Forecasting Through Temporal Signal Processing and Ensemble Machine Learning
Vehicle inspection services are essential for maintaining transportation safety and regulatory compliance. However, daily inspection volumes in developing regions exhibit high stochastic fluctuations due to... -
Assessing the Impact of Household Socioeconomic Factors on Clean and Healthy Living Behaviors with Binary Logistic Regression: A Study in Probolinggo Regency
CHLB is a measure of livability in society. A high CHLB indicates a society that lives well. However, there is a problem in the probolinggo district that needs more effective public health interventions because of... -
Ordinal Logistic Regression with an Application to Health Service Quality in Raden Mattaher Jambi Hospital
Health care is a treatment received by the community provided by health workers. The quality of health services will provide satisfaction to health services. Service actions that affect the value of satisfaction are... -
Water Quality Model in Jambi Province using Geographically Weighted Regression
PDAM (Regional Water Supply Company) functions to serve the needs of many people's lives by providing quality water for the community. Based on Permenkes no. 492/menkes/per/iv/2010 clean water quality parameters,... -
Study of Ordinal Regression Method for Supporting Factors Investigation in Stages Condition of Breast Cancer Patients in Dr. Soetomo Surabaya Hospital, Indonesia
Dr. Soetomo Surabaya Hospital in 2019 received 167,000 cancer patients, and the highest was breast cancer. The increase in the stage of breast cancer is caused by the size of the tumor and how widely the cancer cells... -
Land Cover Change Prediction Modeling in Tanjungpinang City in 2043
Land cover changes reflect the pressure of development and increased human activities that have an impact on environmental imbalance. As a strategic coastal city, Tanjungpinang faces challenges in maintaining the... -
Factors Affecting the Amount of Investment Loans in Commercial Banks with the Application of Linear Regression Analysis Methods
Several factors can affect the amount of investment credit issued by the bank. This study discusses the effect of interest rates, inflation rates, capita income, and the number of medium-large industries on the... -
Antibacterial Activity of Mouthwash with Celery and Cinnamon Extracts Against Streptococcus mutans and Staphylococcus aureus
Dental caries remains a major oral health problem in Indonesia and is closely associated with dental plaque accumulation caused by pathogenic bacteria such as Streptococcus mutans and Staphylococcus aureus . The... -
Risk Assessment of Household Water Facilities Based on Physicochemical Water Quality and Sanitary Inspection in Urban Bengkulu, Indonesia
Safe household water should be acceptable, chemically stable, and protected from sanitary hazards to support urban public health. However, facilities in dense settlements remain vulnerable to contamination from... -
TELAAH FAKTOR-FAKTOR YANG MEMPENGARUHI STATUS GIZI BALITA DI KOTA PADANG BERDASARKAN BERAT BADAN PER TINGGI BADAN MENGGUNAKAN METODE CART
This study was conducted to determine factors that affect the nutritional status of children under 5 years of age in Padang City West Sumatra based on weight-for-height using Classification and Regression Tree... -
Residual-Based Analysis of the Mismatch Between LoRa Channel Models and Field Measurements in Urban and Rural Environments
This study investigates discrepancies between classical propagation models (Okumura-Hata, CI, FI) and LoRa field measurements in urban and rural environments. While rural areas exhibited linear path loss trends,... -
Biosorption of Methylene Orange Dye using Langsat Shell by Batch Method
Liquid waste is a major problem in the textile industry environment that has the most widespread influence because physical and aquatic characteristics can have a negative impact on waters. Most of the liquid waste... -
Non-Destructive Evaluation Quality of Oil Palm Fresh Fruit Bunch (FFB) (Elaeis guineensis Jacq.) Using Thermal Imaging in the Grading Process
Determining the quality of oil palm Fresh Fruit Bunches (FFB) quickly and accurately is very important in the grading process to ensure the quality of production results and the efficiency of the post-harvest... -
Effects of Modified Atmosphere Packaging and Densified Dry Bacterial Cellulose on the Physicochemical and Microbiological Stability of Beneng Taro Flour during Storage
Beneng taro flour is a hygroscopic food powder susceptible to quality deterioration during storage. This study evaluated the effects of Modified Atmosphere Packaging (MAP) and densified dry bacterial cellulose on... -
The Analysis of Factors Influencing Incidence Rates of Toddler Pneumonia in Purwakarta Districts Using Panel Data Spatial Regression
Pneumonia is an acute respiratory infection that attacks the lungs and can cause inflammation of the air sacs due to the alveoli is filled with pus and fluid. This research aims at identifying factors influencing... -
The Implementation of Machine Learning Algorithms for Breast Cancer Biomarker Validation in Metabolomics Studies
Breast cancer is a heterogeneous disease characterized by distinct molecular and metabolic characteristics, making its diagnostics and treatment challenging. The existence of metabolic reprogramming in breast cancer... -
Modeling the Relationship of Net Atomic Charge with the Activity of 5-Aminopyrazole Derivative Compounds as Antioxidants with AM1 Method
This study was conducted to analyze the quantitative relationship between structure and net atomic charge modeling activity of 21 5-aminopyrazole derivatives as antioxidants. This study aims to determine the value of...