Analisis Jumlah Mahasiswa Fakultas Keguruan dan Ilmu Pendidikan

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

Periode Analisis: 2021-2025 | Proyeksi: 2026-2028

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
158.5%
Sangat Baik
Retention Rate Rata-rata
53.1%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
13.4%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
64.0%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-34.6%
Peningkatan output lulusan
Efisiensi Konversi Animo
42.5%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
61.8%
Tinggi
Volatilitas Animo
20.6%
Coefficient of Variation
Utilization Capacity
136.6%
Penggunaan daya tampung optimal

📋 Data Historis 2021-2025

Data Mentah
Indikator Kinerja
Pertumbuhan Tahunan
Tahun Animo Daya Tampung Hasil Mhs Baru Mhs Aktif Cuti Nonaktif Wisuda
2021 2,165 930 1,771 1,552 5,709 78 4,206 1,388
2022 3,385 992 2,048 1,805 7,336 122 4,477 795
2023 2,250 1,260 1,794 1,548 8,551 234 4,806 955
2024 2,505 1,300 1,670 1,423 9,149 396 4,944 1,023
2025 2,181 1,300 1,621 1,322 9,362 723 4,330 908
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 81.8% 190.4% 42.6% 24.3% 75.0% 166.9% 64.1%
2022 60.5% 206.5% 51.2% 10.8% 62.7% 182.0% 23.5%
2023 79.7% 142.4% 54.9% 11.2% 58.9% 122.9% 42.4%
2024 66.7% 128.5% 56.4% 11.2% 58.4% 109.5% 40.8%
2025 74.3% 124.7% 60.6% 9.7% 54.0% 101.7% 41.6%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 56.4% -33.5% 11.3% -12.9% 5.3% 0.7%
DAYA TAMPUNG 6.7% 27.0% 3.2% 0.0% 9.2% 39.8%
HASIL 15.6% -12.4% -6.9% -2.9% -1.7% -8.5%
MHS BARU 16.3% -14.2% -8.1% -7.1% -3.3% -14.8%
MHS AKTIF 28.5% 16.6% 7.0% 2.3% 13.6% 64.0%
WISUDA -42.7% 20.1% 7.1% -11.2% -6.7% -34.6%
CUTI 56.4% 91.8% 69.2% 82.6% 75.0% 826.9%
NONAKTIF 6.4% 7.3% 2.9% -12.4% 1.1% 2.9%

📊 Statistik Deskriptif Lanjutan

ANIMO

2,497
Mean ± 515 (SD)
CV: 20.6% | Min: 2,165 | Max: 3,385
Q1: 2,181 | Median: 2,250 | Q3: 2,505
Skewness: 1.883 | Kurtosis: 3.526

DAYA TAMPUNG

1,156
Mean ± 180 (SD)
CV: 15.6% | Min: 930 | Max: 1,300
Q1: 992 | Median: 1,260 | Q3: 1,300
Skewness: -0.639 | Kurtosis: -2.904

HASIL

1,781
Mean ± 165 (SD)
CV: 9.3% | Min: 1,621 | Max: 2,048
Q1: 1,670 | Median: 1,771 | Q3: 1,794
Skewness: 1.255 | Kurtosis: 1.845

MHS BARU

1,530
Mean ± 181 (SD)
CV: 11.8% | Min: 1,322 | Max: 1,805
Q1: 1,423 | Median: 1,548 | Q3: 1,552
Skewness: 0.743 | Kurtosis: 0.980

MHS AKTIF

8,021
Mean ± 1,514 (SD)
CV: 18.9% | Min: 5,709 | Max: 9,362
Q1: 7,336 | Median: 8,551 | Q3: 9,149
Skewness: -1.044 | Kurtosis: 0.031

WISUDA

1,014
Mean ± 225 (SD)
CV: 22.2% | Min: 795 | Max: 1,388
Q1: 908 | Median: 955 | Q3: 1,023
Skewness: 1.481 | Kurtosis: 2.733

CUTI

311
Mean ± 261 (SD)
CV: 84.1% | Min: 78 | Max: 723
Q1: 122 | Median: 234 | Q3: 396
Skewness: 1.193 | Kurtosis: 0.917

NONAKTIF

4,553
Mean ± 313 (SD)
CV: 6.9% | Min: 4,206 | Max: 4,944
Q1: 4,330 | Median: 4,477 | Q3: 4,806
Skewness: 0.313 | Kurtosis: -2.230

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

🔮 Forecasting & Analisis Skenario 2026-2028