Analisis Jumlah Mahasiswa Fakultas Ilmu Keolahragaan

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
82.1%
Sangat Baik
Retention Rate Rata-rata
56.1%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
4.5%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
45.5%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
58.6%
Peningkatan output lulusan
Efisiensi Konversi Animo
15.2%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
65.4%
Tinggi
Volatilitas Animo
45.6%
Coefficient of Variation
Utilization Capacity
63.9%
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 257 187 227 170 683 8 513 29
2022 537 328 299 248 935 23 650 31
2023 180 225 179 129 995 40 685 32
2024 282 270 162 119 896 65 449 64
2025 249 250 146 129 994 100 382 46
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 88.3% 121.4% 48.6% 4.2% 76.3% 90.9% 11.3%
2022 55.7% 91.2% 50.2% 3.3% 72.0% 75.6% 5.8%
2023 99.4% 79.6% 54.7% 3.2% 72.9% 57.3% 17.8%
2024 57.4% 60.0% 60.2% 7.1% 57.4% 44.1% 22.7%
2025 58.6% 58.4% 66.9% 4.6% 48.5% 51.6% 18.5%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 108.9% -66.5% 56.7% -11.7% 21.9% -3.1%
DAYA TAMPUNG 75.4% -31.4% 20.0% -7.4% 14.1% 33.7%
HASIL 31.7% -40.1% -9.5% -9.9% -6.9% -35.7%
MHS BARU 45.9% -48.0% -7.8% 8.4% -0.4% -24.1%
MHS AKTIF 36.9% 6.4% -9.9% 10.9% 11.1% 45.5%
WISUDA 6.9% 3.2% 100.0% -28.1% 20.5% 58.6%
CUTI 187.5% 73.9% 62.5% 53.8% 94.4% 1,150.0%
NONAKTIF 26.7% 5.4% -34.5% -14.9% -4.3% -25.5%

📊 Statistik Deskriptif Lanjutan

ANIMO

301
Mean ± 137 (SD)
CV: 45.6% | Min: 180 | Max: 537
Q1: 249 | Median: 257 | Q3: 282
Skewness: 1.796 | Kurtosis: 3.726

DAYA TAMPUNG

252
Mean ± 53 (SD)
CV: 20.9% | Min: 187 | Max: 328
Q1: 225 | Median: 250 | Q3: 270
Skewness: 0.431 | Kurtosis: 0.480

HASIL

203
Mean ± 62 (SD)
CV: 30.5% | Min: 146 | Max: 299
Q1: 162 | Median: 179 | Q3: 227
Skewness: 1.143 | Kurtosis: 0.547

MHS BARU

159
Mean ± 53 (SD)
CV: 33.6% | Min: 119 | Max: 248
Q1: 129 | Median: 129 | Q3: 170
Skewness: 1.602 | Kurtosis: 2.226

MHS AKTIF

901
Mean ± 129 (SD)
CV: 14.3% | Min: 683 | Max: 995
Q1: 896 | Median: 935 | Q3: 994
Skewness: -1.685 | Kurtosis: 2.951

WISUDA

40
Mean ± 15 (SD)
CV: 36.7% | Min: 29 | Max: 64
Q1: 31 | Median: 32 | Q3: 46
Skewness: 1.336 | Kurtosis: 0.860

CUTI

47
Mean ± 36 (SD)
CV: 77.0% | Min: 8 | Max: 100
Q1: 23 | Median: 40 | Q3: 65
Skewness: 0.678 | Kurtosis: -0.407

NONAKTIF

536
Mean ± 129 (SD)
CV: 24.2% | Min: 382 | Max: 685
Q1: 449 | Median: 513 | Q3: 650
Skewness: 0.097 | Kurtosis: -2.289

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

🔮 Forecasting & Analisis Skenario 2026-2028