Analisis Jumlah Mahasiswa Fakultas Matematika dan IPA
Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics
Periode Analisis: 2021-2025 | Proyeksi: 2026-2028
📊 Executive Dashboard
🎯 Kinerja Inti
Rata-rata Tingkat Penerimaan
68.1%
Baik
Retention Rate Rata-rata
58.1%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
8.7%
Efektivitas proses pembelajaran
📈 Growth Metrics
Pertumbuhan Mahasiswa Aktif
-6.1%
▼
2021-2025 (5 tahun)
Pertumbuhan Wisuda
61.2%
▲
Peningkatan output lulusan
Efisiensi Konversi Animo
24.0%
Animo → Wisuda
⚠️ Risk Indicators
Attrition Rate Rata-rata
55.1%
Tinggi
Volatilitas Animo
36.7%
Coefficient of Variation
Utilization Capacity
57.5%
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 | 787 | 775 | 545 | 476 | 2,119 | 35 | 1,015 | 139 |
| 2022 | 1,387 | 630 | 525 | 467 | 2,444 | 48 | 1,380 | 222 |
| 2023 | 588 | 606 | 339 | 283 | 2,291 | 62 | 1,583 | 165 |
| 2024 | 776 | 646 | 339 | 268 | 2,160 | 87 | 864 | 207 |
| 2025 | 704 | 572 | 449 | 365 | 1,989 | 140 | 888 | 224 |
| Tahun | Konversi Animo-Hasil | Tingkat Seleksi | Retention Rate | Graduation Rate | Attrition Rate | Utilization Capacity | Efisiensi Animo-Wisuda |
|---|---|---|---|---|---|---|---|
| 2021 | 69.3% | 70.3% | 58.7% | 6.6% | 49.6% | 61.4% | 17.7% |
| 2022 | 37.9% | 83.3% | 55.2% | 9.1% | 58.4% | 74.1% | 16.0% |
| 2023 | 57.7% | 55.9% | 53.5% | 7.2% | 71.8% | 46.7% | 28.1% |
| 2024 | 43.7% | 52.5% | 63.9% | 9.6% | 44.0% | 41.5% | 26.7% |
| 2025 | 63.8% | 78.5% | 59.4% | 11.3% | 51.7% | 63.8% | 31.8% |
| Variabel | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | Rata-rata Growth | Total Growth 5 Tahun |
|---|---|---|---|---|---|---|
| ANIMO | 76.2% | -57.6% | 32.0% | -9.3% | 10.3% | -10.5% |
| DAYA TAMPUNG | -18.7% | -3.8% | 6.6% | -11.5% | -6.8% | -26.2% |
| HASIL | -3.7% | -35.4% | 0.0% | 32.4% | -1.7% | -17.6% |
| MHS BARU | -1.9% | -39.4% | -5.3% | 36.2% | -2.6% | -23.3% |
| MHS AKTIF | 15.3% | -6.3% | -5.7% | -7.9% | -1.1% | -6.1% |
| WISUDA | 59.7% | -25.7% | 25.5% | 8.2% | 16.9% | 61.2% |
| CUTI | 37.1% | 29.2% | 40.3% | 60.9% | 41.9% | 300.0% |
| NONAKTIF | 36.0% | 14.7% | -45.4% | 2.8% | 2.0% | -12.5% |
📊 Statistik Deskriptif Lanjutan
ANIMO
848
Mean ± 311 (SD)
CV: 36.7% |
Min: 588 |
Max: 1,387
Q1: 704 |
Median: 776 |
Q3: 787
Skewness: 1.863 |
Kurtosis: 3.868
DAYA TAMPUNG
646
Mean ± 77 (SD)
CV: 12.0% |
Min: 572 |
Max: 775
Q1: 606 |
Median: 630 |
Q3: 646
Skewness: 1.516 |
Kurtosis: 2.819
HASIL
439
Mean ± 98 (SD)
CV: 22.4% |
Min: 339 |
Max: 545
Q1: 339 |
Median: 449 |
Q3: 525
Skewness: -0.096 |
Kurtosis: -2.917
MHS BARU
372
Mean ± 98 (SD)
CV: 26.4% |
Min: 268 |
Max: 476
Q1: 283 |
Median: 365 |
Q3: 467
Skewness: 0.077 |
Kurtosis: -2.929
MHS AKTIF
2,201
Mean ± 174 (SD)
CV: 7.9% |
Min: 1,989 |
Max: 2,444
Q1: 2,119 |
Median: 2,160 |
Q3: 2,291
Skewness: 0.404 |
Kurtosis: -0.247
WISUDA
191
Mean ± 38 (SD)
CV: 19.7% |
Min: 139 |
Max: 224
Q1: 165 |
Median: 207 |
Q3: 222
Skewness: -0.740 |
Kurtosis: -1.756
CUTI
74
Mean ± 41 (SD)
CV: 55.7% |
Min: 35 |
Max: 140
Q1: 48 |
Median: 62 |
Q3: 87
Skewness: 1.189 |
Kurtosis: 1.108
NONAKTIF
1,146
Mean ± 320 (SD)
CV: 27.9% |
Min: 864 |
Max: 1,583
Q1: 888 |
Median: 1,015 |
Q3: 1,380
Skewness: 0.694 |
Kurtosis: -1.959