Analisis Jumlah Mahasiswa Program Studi Ilmu Keolahragaan

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
79.3%
Sangat Baik
Retention Rate Rata-rata
53.2%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
6.1%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-13.9%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
58.6%
Peningkatan output lulusan
Efisiensi Konversi Animo
24.5%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
75.8%
Tinggi
Volatilitas Animo
39.9%
Coefficient of Variation
Utilization Capacity
62.5%
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 299 192 159 132 819 23 650 31
2023 121 145 120 89 771 37 637 32
2024 138 140 78 61 617 58 374 64
2025 163 150 81 72 588 82 288 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 53.2% 82.8% 50.2% 3.8% 82.2% 68.8% 10.4%
2023 99.2% 82.8% 50.5% 4.2% 87.4% 61.4% 26.4%
2024 56.5% 55.7% 55.9% 10.4% 70.0% 43.6% 46.4%
2025 49.7% 54.0% 60.7% 7.8% 62.9% 48.0% 28.2%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 16.3% -59.5% 14.0% 18.1% -2.8% -36.6%
DAYA TAMPUNG 2.7% -24.5% -3.4% 7.1% -4.5% -19.8%
HASIL -30.0% -24.5% -35.0% 3.8% -21.4% -64.3%
MHS BARU -22.4% -32.6% -31.5% 18.0% -17.1% -57.6%
MHS AKTIF 19.9% -5.9% -20.0% -4.7% -2.7% -13.9%
WISUDA 6.9% 3.2% 100.0% -28.1% 20.5% 58.6%
CUTI 187.5% 60.9% 56.8% 41.4% 86.6% 925.0%
NONAKTIF 26.7% -2.0% -41.3% -23.0% -9.9% -43.9%

📊 Statistik Deskriptif Lanjutan

ANIMO

196
Mean ± 78 (SD)
CV: 39.9% | Min: 121 | Max: 299
Q1: 138 | Median: 163 | Q3: 257
Skewness: 0.608 | Kurtosis: -2.238

DAYA TAMPUNG

163
Mean ± 25 (SD)
CV: 15.2% | Min: 140 | Max: 192
Q1: 145 | Median: 150 | Q3: 187
Skewness: 0.539 | Kurtosis: -3.066

HASIL

133
Mean ± 62 (SD)
CV: 46.7% | Min: 78 | Max: 227
Q1: 81 | Median: 120 | Q3: 159
Skewness: 0.939 | Kurtosis: 0.003

MHS BARU

105
Mean ± 45 (SD)
CV: 43.3% | Min: 61 | Max: 170
Q1: 72 | Median: 89 | Q3: 132
Skewness: 0.776 | Kurtosis: -1.064

MHS AKTIF

696
Mean ± 99 (SD)
CV: 14.2% | Min: 588 | Max: 819
Q1: 617 | Median: 683 | Q3: 771
Skewness: 0.250 | Kurtosis: -2.210

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

42
Mean ± 29 (SD)
CV: 70.1% | Min: 8 | Max: 82
Q1: 23 | Median: 37 | Q3: 58
Skewness: 0.436 | Kurtosis: -0.841

NONAKTIF

492
Mean ± 160 (SD)
CV: 32.4% | Min: 288 | Max: 650
Q1: 374 | Median: 513 | Q3: 637
Skewness: -0.333 | Kurtosis: -2.237

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028