Recently Published
House Price Prediction in Greater Jakarta: Linear Regression, Lasso, and Random Forest
Predicting house prices from listing data (bedrooms, bathrooms, land and building area, garage, location). Covers data cleaning, log transformation, variable selection with Lasso, and model comparison using train/test RMSE.
RLB
Analisis Regresi Linier Berganda
Daily Facebook Political Ad Spending
As of October 7, 2026
Spatial Regression of Poverty Rate in North Sumatra: SAR, SEM, and SARMA Models
Spatial regression analysis of the percentage of poor population across 33 districts/cities in North Sumatra, using education, per capita expenditure, and life expectancy as predictors. Covers choropleth maps, spatial weight matrix comparison (contiguity and distance-based), Moran’s I, Lagrange Multiplier tests, SAR/SEM/SARMA models, and direct/indirect effects.
Regnon Polinomial
Analasis Regresi Polinomial
Factor Analysis of Salespeople Performance Data (Minres, Varimax Rotation)
Exploratory factor analysis in R on sales performance and test score variables. Covers standardization, correlation heatmap, scree plot, factor extraction (minres), communalities, varimax rotation, factor scores, and model fit with RMS overall. Group assignment.
Exploratory Data Analysis for Predictive Text Modeling
This report presents an exploratory data analysis of the SwiftKey dataset, including US English blogs, news, and Twitter text files. It examines the basic structure and characteristics of the data, performs text analysis, and highlights important patterns in word usage. The findings will help guide the development of a predictive text algorithm and a Shiny application that suggests the next word based on user input.