Analisis Jumlah Mahasiswa Program Studi Kesehatan Masyarakat
Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics
Periode Analisis: 2021-2025 | Proyeksi: 2026-2028
📊 Executive Dashboard
🎯 Kinerja Inti
Rata-rata Tingkat Penerimaan
161.2%
Sangat Baik
Retention Rate Rata-rata
73.3%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
6.1%
Efektivitas proses pembelajaran
📈 Growth Metrics
Pertumbuhan Mahasiswa Aktif
27.8%
▲
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-5.1%
▼
Peningkatan output lulusan
Efisiensi Konversi Animo
24.5%
Animo → Wisuda
⚠️ Risk Indicators
Attrition Rate Rata-rata
29.3%
Tinggi
Volatilitas Animo
21.2%
Coefficient of Variation
Utilization Capacity
118.6%
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 | 991 | 470 | 598 | 552 | 3,222 | 10 | 1,199 | 274 |
| 2022 | 1,190 | 480 | 724 | 579 | 4,053 | 22 | 1,519 | 268 |
| 2023 | 765 | 430 | 436 | 412 | 4,921 | 67 | 1,684 | 247 |
| 2024 | 1,333 | 400 | 1,153 | 508 | 4,179 | 125 | 567 | 163 |
| 2025 | 941 | 510 | 706 | 673 | 4,118 | 298 | 475 | 260 |
| Tahun | Konversi Animo-Hasil | Tingkat Seleksi | Retention Rate | Graduation Rate | Attrition Rate | Utilization Capacity | Efisiensi Animo-Wisuda |
|---|---|---|---|---|---|---|---|
| 2021 | 60.3% | 127.2% | 64.4% | 8.5% | 37.5% | 117.4% | 27.6% |
| 2022 | 60.8% | 150.8% | 66.0% | 6.6% | 38.0% | 120.6% | 22.5% |
| 2023 | 57.0% | 101.4% | 70.0% | 5.0% | 35.6% | 95.8% | 32.3% |
| 2024 | 86.5% | 288.3% | 83.4% | 3.9% | 16.6% | 127.0% | 12.2% |
| 2025 | 75.0% | 138.4% | 82.4% | 6.3% | 18.8% | 132.0% | 27.6% |
| Variabel | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | Rata-rata Growth | Total Growth 5 Tahun |
|---|---|---|---|---|---|---|
| ANIMO | 20.1% | -35.7% | 74.2% | -29.4% | 7.3% | -5.0% |
| DAYA TAMPUNG | 2.1% | -10.4% | -7.0% | 27.5% | 3.1% | 8.5% |
| HASIL | 21.1% | -39.8% | 164.4% | -38.8% | 26.7% | 18.1% |
| MHS BARU | 4.9% | -28.8% | 23.3% | 32.5% | 8.0% | 21.9% |
| MHS AKTIF | 25.8% | 21.4% | -15.1% | -1.5% | 7.7% | 27.8% |
| WISUDA | -2.2% | -7.8% | -34.0% | 59.5% | 3.9% | -5.1% |
| CUTI | 120.0% | 204.5% | 86.6% | 138.4% | 137.4% | 2,880.0% |
| NONAKTIF | 26.7% | 10.9% | -66.3% | -16.2% | -11.3% | -60.4% |
📊 Statistik Deskriptif Lanjutan
ANIMO
1,044
Mean ± 221 (SD)
CV: 21.2% |
Min: 765 |
Max: 1,333
Q1: 941 |
Median: 991 |
Q3: 1,190
Skewness: 0.165 |
Kurtosis: -0.921
DAYA TAMPUNG
458
Mean ± 43 (SD)
CV: 9.4% |
Min: 400 |
Max: 510
Q1: 430 |
Median: 470 |
Q3: 480
Skewness: -0.330 |
Kurtosis: -1.030
HASIL
723
Mean ± 266 (SD)
CV: 36.8% |
Min: 436 |
Max: 1,153
Q1: 598 |
Median: 706 |
Q3: 724
Skewness: 1.185 |
Kurtosis: 2.258
MHS BARU
545
Mean ± 96 (SD)
CV: 17.6% |
Min: 412 |
Max: 673
Q1: 508 |
Median: 552 |
Q3: 579
Skewness: -0.116 |
Kurtosis: 0.702
MHS AKTIF
4,099
Mean ± 603 (SD)
CV: 14.7% |
Min: 3,222 |
Max: 4,921
Q1: 4,053 |
Median: 4,118 |
Q3: 4,179
Skewness: -0.222 |
Kurtosis: 1.918
WISUDA
242
Mean ± 46 (SD)
CV: 18.8% |
Min: 163 |
Max: 274
Q1: 247 |
Median: 260 |
Q3: 268
Skewness: -1.973 |
Kurtosis: 4.012
CUTI
104
Mean ± 117 (SD)
CV: 112.3% |
Min: 10 |
Max: 298
Q1: 22 |
Median: 67 |
Q3: 125
Skewness: 1.502 |
Kurtosis: 2.130
NONAKTIF
1,089
Mean ± 548 (SD)
CV: 50.3% |
Min: 475 |
Max: 1,684
Q1: 567 |
Median: 1,199 |
Q3: 1,519
Skewness: -0.207 |
Kurtosis: -2.782