Analisis Jumlah Mahasiswa Program Studi Teknik Sipil
Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics
Periode Analisis: 2021-2025 | Proyeksi: 2026-2028
📊 Executive Dashboard
🎯 Kinerja Inti
Rata-rata Tingkat Penerimaan
163.2%
Sangat Baik
Retention Rate Rata-rata
52.2%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
10.1%
Efektivitas proses pembelajaran
📈 Growth Metrics
Pertumbuhan Mahasiswa Aktif
-31.1%
▼
2021-2025 (5 tahun)
Pertumbuhan Wisuda
139.3%
▲
Peningkatan output lulusan
Efisiensi Konversi Animo
51.5%
Animo → Wisuda
⚠️ Risk Indicators
Attrition Rate Rata-rata
77.9%
Tinggi
Volatilitas Animo
70.9%
Coefficient of Variation
Utilization Capacity
116.4%
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 | 382 | 78 | 257 | 151 | 1,204 | 8 | 1,060 | 61 |
| 2022 | 661 | 80 | 162 | 131 | 1,164 | 22 | 1,301 | 79 |
| 2023 | 181 | 124 | 125 | 109 | 1,160 | 32 | 955 | 102 |
| 2024 | 179 | 127 | 120 | 95 | 1,010 | 44 | 538 | 122 |
| 2025 | 139 | 134 | 119 | 83 | 829 | 56 | 313 | 146 |
| Tahun | Konversi Animo-Hasil | Tingkat Seleksi | Retention Rate | Graduation Rate | Attrition Rate | Utilization Capacity | Efisiensi Animo-Wisuda |
|---|---|---|---|---|---|---|---|
| 2021 | 67.3% | 329.5% | 48.4% | 5.1% | 88.7% | 193.6% | 16.0% |
| 2022 | 24.5% | 202.5% | 42.8% | 6.8% | 113.7% | 163.8% | 12.0% |
| 2023 | 69.1% | 100.8% | 49.9% | 8.8% | 85.1% | 87.9% | 56.4% |
| 2024 | 67.0% | 94.5% | 58.1% | 12.1% | 57.6% | 74.8% | 68.2% |
| 2025 | 85.6% | 88.8% | 61.9% | 17.6% | 44.5% | 61.9% | 105.0% |
| Variabel | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | Rata-rata Growth | Total Growth 5 Tahun |
|---|---|---|---|---|---|---|
| ANIMO | 73.0% | -72.6% | -1.1% | -22.3% | -5.8% | -63.6% |
| DAYA TAMPUNG | 2.6% | 55.0% | 2.4% | 5.5% | 16.4% | 71.8% |
| HASIL | -37.0% | -22.8% | -4.0% | -0.8% | -16.2% | -53.7% |
| MHS BARU | -13.2% | -16.8% | -12.8% | -12.6% | -13.9% | -45.0% |
| MHS AKTIF | -3.3% | -0.3% | -12.9% | -17.9% | -8.6% | -31.1% |
| WISUDA | 29.5% | 29.1% | 19.6% | 19.7% | 24.5% | 139.3% |
| CUTI | 175.0% | 45.5% | 37.5% | 27.3% | 71.3% | 600.0% |
| NONAKTIF | 22.7% | -26.6% | -43.7% | -41.8% | -22.3% | -70.5% |
📊 Statistik Deskriptif Lanjutan
ANIMO
308
Mean ± 219 (SD)
CV: 70.9% |
Min: 139 |
Max: 661
Q1: 179 |
Median: 181 |
Q3: 382
Skewness: 1.399 |
Kurtosis: 1.200
DAYA TAMPUNG
109
Mean ± 27 (SD)
CV: 25.1% |
Min: 78 |
Max: 134
Q1: 80 |
Median: 124 |
Q3: 127
Skewness: -0.529 |
Kurtosis: -3.181
HASIL
157
Mean ± 59 (SD)
CV: 37.6% |
Min: 119 |
Max: 257
Q1: 120 |
Median: 125 |
Q3: 162
Skewness: 1.794 |
Kurtosis: 3.076
MHS BARU
114
Mean ± 27 (SD)
CV: 24.1% |
Min: 83 |
Max: 151
Q1: 95 |
Median: 109 |
Q3: 131
Skewness: 0.417 |
Kurtosis: -1.293
MHS AKTIF
1,073
Mean ± 155 (SD)
CV: 14.5% |
Min: 829 |
Max: 1,204
Q1: 1,010 |
Median: 1,160 |
Q3: 1,164
Skewness: -1.249 |
Kurtosis: 0.585
WISUDA
102
Mean ± 34 (SD)
CV: 33.1% |
Min: 61 |
Max: 146
Q1: 79 |
Median: 102 |
Q3: 122
Skewness: 0.132 |
Kurtosis: -1.212
CUTI
32
Mean ± 19 (SD)
CV: 57.6% |
Min: 8 |
Max: 56
Q1: 22 |
Median: 32 |
Q3: 44
Skewness: -0.061 |
Kurtosis: -0.865
NONAKTIF
833
Mean ± 401 (SD)
CV: 48.1% |
Min: 313 |
Max: 1,301
Q1: 538 |
Median: 955 |
Q3: 1,060
Skewness: -0.330 |
Kurtosis: -1.630