The dataset used in this analysis originates from a microfinance institution’s operational records and captures a range of key performance indicators (KPIs) relevant to financial services and outreach activities. Each record typically represents performance metrics at a branch level for specific dates, with the data spanning across different regions, provinces, and branches. The dataset enables monitoring of organizational performance across multiple levels—branch, province, and region—helping to identify trends in membership, lending, income generation, and credit risk.

--- title: "OLR pada Prediksi Performa Siswa" author: - "Sheila Edistya Salsabilla (23031554056)" - "Dewi Isarotul Azizah (23031554069)" - "Fatimah Azzaroh Assegaf (23031554202)" - "Kelompok 2" date: "`r Sys.Date()`" output: html_document ---

Implementation Model Logistic Regression using Hyperparameter Tuning

Character sheet

ARIMA Seasonal Simulation for ARIMA(0,0,0)(3,1,0)

By: Kristine Joy Casaquite and Arabella Trixie Sabisol This interactive dashboard presents a data-driven overview of key microfinance performance indicators based on a 2024 sample dataset. It highlights trends in membership growth, loan disbursement, borrower activity, portfolio risk, and regional performance to support strategic decision-making and operational insights.