Recently Published
SARIMA Model Simulation
Nama: Fikri Rizal Dhiya Ul Haq
NRP: 5003221105
Kelas: Pengantar Analisis Deret Waktu
Seasonal ARIMA model simulation using SARIMA(0,0,0)(2,1,0)^12
Final Project: Microfinance Performance Dashboard
This interactive dashboard presents key performance indicators (KPIs) for a microfinance institution based on a sample of operational data from 2024. The analysis explores trends in membership growth, borrower activity, loan distribution, income and deposit balances, and portfolio at risk (PAR) across regions, provinces, and branches.
The dashboard aims to support strategic decision-making by visualizing performance across time and geography. Data shown here is based on a 20% random sample of the full dataset to ensure compatibility with R Pubs and preserve privacy, while maintaining statistical representativeness.
Tugas Time Series ARIMA (4,0,0)
Nama: Setiya Ilmi Mubarok
NRP: 5003231035
TimeSeries_SARIMA Simulation_Bagas Rakhawisesa_5003231133
Simulating SARIMA analysis from dataset that simulate ARIMA(0,0,4)(0,0,4)12 models.
Models, Time Series Plot, ACF and PACF Plot, ADF Test, and Ljung-Box Test
Seasonal ARIMA Simulation
Model ARIMA(0,0,4)(0,0,4)^12
Non-PCA MNLR
Model Multinomial Logistic Regression (MNLR) dengan perlakuan tanpa PCA (Model terbaik)
Analisis Regresi UMK dan PDB UMKM
menerangkan seputar analisis regresi dan penerapannya dalam bidang ilmu manajemen
Linear Discriminant Analysis(LDA) pada Prediksi Performa Siswa
---
title: "Linear Discriminant Analysis (LDA) 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
---
Final Project: Microfinance Performance Dashboard
This interactive dashboard presents key performance indicators (KPIs) for a microfinance institution based on a sample of operational data from 2024. The analysis explores trends in membership growth, borrower activity, loan distribution, income and deposit balances, and portfolio at risk (PAR) across regions, provinces, and branches.
The dashboard aims to support strategic decision-making by visualizing performance across time and geography. Data shown here is based on a 20% random sample of the full dataset to ensure compatibility with R Pubs and preserve privacy, while maintaining statistical representativeness.
