Analisis Jumlah Mahasiswa Program Studi Magister Teknik Sipil
Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics
Periode Analisis: 2021-2025 | Proyeksi: 2026-2028
📊 Executive Dashboard
🎯 Kinerja Inti
Rata-rata Tingkat Penerimaan
96.2%
Sangat Baik
Retention Rate Rata-rata
60.3%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
9.3%
Efektivitas proses pembelajaran
📈 Growth Metrics
Pertumbuhan Mahasiswa Aktif
155.3%
▲
2021-2025 (5 tahun)
Pertumbuhan Wisuda
0.0%
▼
Peningkatan output lulusan
Efisiensi Konversi Animo
113.0%
Animo → Wisuda
⚠️ Risk Indicators
Attrition Rate Rata-rata
21.1%
Tinggi
Volatilitas Animo
59.5%
Coefficient of Variation
Utilization Capacity
96.2%
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 | 38 | 25 | 38 | 38 | 38 | 0 | 7 | 0 |
| 2022 | 18 | 20 | 18 | 18 | 88 | 4 | 4 | 0 |
| 2023 | 19 | 20 | 19 | 19 | 90 | 4 | 13 | 12 |
| 2024 | 31 | 25 | 31 | 31 | 111 | 4 | 42 | 16 |
| 2025 | 4 | 20 | 4 | 4 | 97 | 4 | 13 | 18 |
| Tahun | Konversi Animo-Hasil | Tingkat Seleksi | Retention Rate | Graduation Rate | Attrition Rate | Utilization Capacity | Efisiensi Animo-Wisuda |
|---|---|---|---|---|---|---|---|
| 2021 | 100.0% | 152.0% | 0.0% | 0.0% | 18.4% | 152.0% | 0.0% |
| 2022 | 100.0% | 90.0% | 94.6% | 0.0% | 9.1% | 90.0% | 0.0% |
| 2023 | 100.0% | 95.0% | 74.0% | 13.3% | 18.9% | 95.0% | 63.2% |
| 2024 | 100.0% | 124.0% | 58.0% | 14.4% | 41.4% | 124.0% | 51.6% |
| 2025 | 100.0% | 20.0% | 75.0% | 18.6% | 17.5% | 20.0% | 450.0% |
| Variabel | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | Rata-rata Growth | Total Growth 5 Tahun |
|---|---|---|---|---|---|---|
| ANIMO | -52.6% | 5.6% | 63.2% | -87.1% | -17.8% | -89.5% |
| DAYA TAMPUNG | -20.0% | 0.0% | 25.0% | -20.0% | -3.8% | -20.0% |
| HASIL | -52.6% | 5.6% | 63.2% | -87.1% | -17.8% | -89.5% |
| MHS BARU | -52.6% | 5.6% | 63.2% | -87.1% | -17.8% | -89.5% |
| MHS AKTIF | 131.6% | 2.3% | 23.3% | -12.6% | 36.1% | 155.3% |
| WISUDA | 0.0% | 0.0% | 33.3% | 12.5% | 11.5% | 50.0% |
| CUTI | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| NONAKTIF | -42.9% | 225.0% | 223.1% | -69.0% | 84.0% | 85.7% |
📊 Statistik Deskriptif Lanjutan
ANIMO
22
Mean ± 13 (SD)
CV: 59.5% |
Min: 4 |
Max: 38
Q1: 18 |
Median: 19 |
Q3: 31
Skewness: -0.204 |
Kurtosis: -0.460
DAYA TAMPUNG
22
Mean ± 3 (SD)
CV: 12.4% |
Min: 20 |
Max: 25
Q1: 20 |
Median: 20 |
Q3: 25
Skewness: 0.609 |
Kurtosis: -3.333
HASIL
22
Mean ± 13 (SD)
CV: 59.5% |
Min: 4 |
Max: 38
Q1: 18 |
Median: 19 |
Q3: 31
Skewness: -0.204 |
Kurtosis: -0.460
MHS BARU
22
Mean ± 13 (SD)
CV: 59.5% |
Min: 4 |
Max: 38
Q1: 18 |
Median: 19 |
Q3: 31
Skewness: -0.204 |
Kurtosis: -0.460
MHS AKTIF
85
Mean ± 28 (SD)
CV: 32.6% |
Min: 38 |
Max: 111
Q1: 88 |
Median: 90 |
Q3: 97
Skewness: -1.623 |
Kurtosis: 3.281
WISUDA
9
Mean ± 9 (SD)
CV: 94.3% |
Min: 0 |
Max: 18
Q1: 0 |
Median: 12 |
Q3: 16
Skewness: -0.345 |
Kurtosis: -3.021
CUTI
3
Mean ± 2 (SD)
CV: 55.9% |
Min: 0 |
Max: 4
Q1: 4 |
Median: 4 |
Q3: 4
Skewness: -2.236 |
Kurtosis: 5.000
NONAKTIF
16
Mean ± 15 (SD)
CV: 95.9% |
Min: 4 |
Max: 42
Q1: 7 |
Median: 13 |
Q3: 13
Skewness: 1.869 |
Kurtosis: 3.768