Analisis Jumlah Mahasiswa Fakultas Ilmu Sosial dan Ilmu Politik
Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics
Periode Analisis: 2021-2025 | Proyeksi: 2026-2028
📊 Executive Dashboard
🎯 Kinerja Inti
Rata-rata Tingkat Penerimaan
177.8%
Sangat Baik
Retention Rate Rata-rata
56.7%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
11.6%
Efektivitas proses pembelajaran
📈 Growth Metrics
Pertumbuhan Mahasiswa Aktif
-19.1%
▼
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-24.0%
▼
Peningkatan output lulusan
Efisiensi Konversi Animo
39.8%
Animo → Wisuda
⚠️ Risk Indicators
Attrition Rate Rata-rata
60.3%
Tinggi
Volatilitas Animo
37.8%
Coefficient of Variation
Utilization Capacity
145.2%
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 | 1,471 | 406 | 877 | 653 | 5,524 | 112 | 3,279 | 566 |
| 2022 | 2,600 | 376 | 1,179 | 989 | 5,471 | 181 | 3,334 | 818 |
| 2023 | 1,097 | 670 | 1,053 | 856 | 5,147 | 249 | 4,001 | 657 |
| 2024 | 1,581 | 630 | 672 | 565 | 4,883 | 240 | 1,998 | 520 |
| 2025 | 1,185 | 768 | 736 | 650 | 4,470 | 474 | 1,651 | 430 |
| Tahun | Konversi Animo-Hasil | Tingkat Seleksi | Retention Rate | Graduation Rate | Attrition Rate | Utilization Capacity | Efisiensi Animo-Wisuda |
|---|---|---|---|---|---|---|---|
| 2021 | 59.6% | 216.0% | 55.9% | 10.2% | 61.4% | 160.8% | 38.5% |
| 2022 | 45.3% | 313.6% | 51.9% | 15.0% | 64.2% | 263.0% | 31.5% |
| 2023 | 96.0% | 157.2% | 47.9% | 12.8% | 82.6% | 127.8% | 59.9% |
| 2024 | 42.5% | 106.7% | 63.2% | 10.6% | 45.8% | 89.7% | 32.9% |
| 2025 | 62.1% | 95.8% | 64.7% | 9.6% | 47.5% | 84.6% | 36.3% |
| Variabel | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | Rata-rata Growth | Total Growth 5 Tahun |
|---|---|---|---|---|---|---|
| ANIMO | 76.8% | -57.8% | 44.1% | -25.0% | 9.5% | -19.4% |
| DAYA TAMPUNG | -7.4% | 78.2% | -6.0% | 21.9% | 21.7% | 89.2% |
| HASIL | 34.4% | -10.7% | -36.2% | 9.5% | -0.7% | -16.1% |
| MHS BARU | 51.5% | -13.4% | -34.0% | 15.0% | 4.8% | -0.5% |
| MHS AKTIF | -1.0% | -5.9% | -5.1% | -8.5% | -5.1% | -19.1% |
| WISUDA | 44.5% | -19.7% | -20.9% | -17.3% | -3.3% | -24.0% |
| CUTI | 61.6% | 37.6% | -3.6% | 97.5% | 48.3% | 323.2% |
| NONAKTIF | 1.7% | 20.0% | -50.1% | -17.4% | -11.4% | -49.6% |
📊 Statistik Deskriptif Lanjutan
ANIMO
1,587
Mean ± 600 (SD)
CV: 37.8% |
Min: 1,097 |
Max: 2,600
Q1: 1,185 |
Median: 1,471 |
Q3: 1,581
Skewness: 1.649 |
Kurtosis: 2.952
DAYA TAMPUNG
570
Mean ± 171 (SD)
CV: 30.0% |
Min: 376 |
Max: 768
Q1: 406 |
Median: 630 |
Q3: 670
Skewness: -0.227 |
Kurtosis: -2.495
HASIL
903
Mean ± 212 (SD)
CV: 23.5% |
Min: 672 |
Max: 1,179
Q1: 736 |
Median: 877 |
Q3: 1,053
Skewness: 0.312 |
Kurtosis: -1.915
MHS BARU
743
Mean ± 174 (SD)
CV: 23.5% |
Min: 565 |
Max: 989
Q1: 650 |
Median: 653 |
Q3: 856
Skewness: 0.730 |
Kurtosis: -1.271
MHS AKTIF
5,099
Mean ± 437 (SD)
CV: 8.6% |
Min: 4,470 |
Max: 5,524
Q1: 4,883 |
Median: 5,147 |
Q3: 5,471
Skewness: -0.652 |
Kurtosis: -0.780
WISUDA
598
Mean ± 148 (SD)
CV: 24.7% |
Min: 430 |
Max: 818
Q1: 520 |
Median: 566 |
Q3: 657
Skewness: 0.719 |
Kurtosis: 0.375
CUTI
251
Mean ± 136 (SD)
CV: 54.2% |
Min: 112 |
Max: 474
Q1: 181 |
Median: 240 |
Q3: 249
Skewness: 1.325 |
Kurtosis: 2.439
NONAKTIF
2,853
Mean ± 988 (SD)
CV: 34.6% |
Min: 1,651 |
Max: 4,001
Q1: 1,998 |
Median: 3,279 |
Q3: 3,334
Skewness: -0.283 |
Kurtosis: -2.176