Analisis Jumlah Mahasiswa Program Studi Matematika
Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics
Periode Analisis: 2021-2025 | Proyeksi: 2026-2028
📊 Executive Dashboard
🎯 Kinerja Inti
Rata-rata Tingkat Penerimaan
39.1%
Perlu Perbaikan
Retention Rate Rata-rata
54.6%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
11.1%
Efektivitas proses pembelajaran
📈 Growth Metrics
Pertumbuhan Mahasiswa Aktif
-31.4%
▼
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-23.1%
▼
Peningkatan output lulusan
Efisiensi Konversi Animo
26.6%
Animo → Wisuda
⚠️ Risk Indicators
Attrition Rate Rata-rata
67.2%
Tinggi
Volatilitas Animo
29.1%
Coefficient of Variation
Utilization Capacity
28.0%
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 | 50 | 71 | 30 | 16 | 118 | 4 | 71 | 13 |
| 2022 | 51 | 65 | 14 | 9 | 102 | 6 | 78 | 17 |
| 2023 | 25 | 54 | 21 | 19 | 99 | 6 | 79 | 3 |
| 2024 | 34 | 54 | 19 | 18 | 90 | 8 | 28 | 11 |
| 2025 | 34 | 54 | 31 | 19 | 81 | 10 | 42 | 10 |
| Tahun | Konversi Animo-Hasil | Tingkat Seleksi | Retention Rate | Graduation Rate | Attrition Rate | Utilization Capacity | Efisiensi Animo-Wisuda |
|---|---|---|---|---|---|---|---|
| 2021 | 60.0% | 42.3% | 54.8% | 11.0% | 63.6% | 22.5% | 26.0% |
| 2022 | 27.5% | 21.5% | 49.5% | 16.7% | 82.4% | 13.8% | 33.3% |
| 2023 | 84.0% | 38.9% | 49.4% | 3.0% | 85.9% | 35.2% | 12.0% |
| 2024 | 55.9% | 35.2% | 64.9% | 12.2% | 40.0% | 33.3% | 32.4% |
| 2025 | 91.2% | 57.4% | 54.4% | 12.3% | 64.2% | 35.2% | 29.4% |
| Variabel | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | Rata-rata Growth | Total Growth 5 Tahun |
|---|---|---|---|---|---|---|
| ANIMO | 2.0% | -51.0% | 36.0% | 0.0% | -3.2% | -32.0% |
| DAYA TAMPUNG | -8.5% | -16.9% | 0.0% | 0.0% | -6.3% | -23.9% |
| HASIL | -53.3% | 50.0% | -9.5% | 63.2% | 12.6% | 3.3% |
| MHS BARU | -43.8% | 111.1% | -5.3% | 5.6% | 16.9% | 18.8% |
| MHS AKTIF | -13.6% | -2.9% | -9.1% | -10.0% | -8.9% | -31.4% |
| WISUDA | 30.8% | -82.4% | 266.7% | -9.1% | 51.5% | -23.1% |
| CUTI | 50.0% | 0.0% | 33.3% | 25.0% | 27.1% | 150.0% |
| NONAKTIF | 9.9% | 1.3% | -64.6% | 50.0% | -0.9% | -40.8% |
📊 Statistik Deskriptif Lanjutan
ANIMO
39
Mean ± 11 (SD)
CV: 29.1% |
Min: 25 |
Max: 51
Q1: 34 |
Median: 34 |
Q3: 50
Skewness: 0.107 |
Kurtosis: -2.234
DAYA TAMPUNG
60
Mean ± 8 (SD)
CV: 13.3% |
Min: 54 |
Max: 71
Q1: 54 |
Median: 54 |
Q3: 65
Skewness: 0.920 |
Kurtosis: -1.545
HASIL
23
Mean ± 7 (SD)
CV: 31.8% |
Min: 14 |
Max: 31
Q1: 19 |
Median: 21 |
Q3: 30
Skewness: 0.057 |
Kurtosis: -2.179
MHS BARU
16
Mean ± 4 (SD)
CV: 26.0% |
Min: 9 |
Max: 19
Q1: 16 |
Median: 18 |
Q3: 19
Skewness: -1.810 |
Kurtosis: 3.255
MHS AKTIF
98
Mean ± 14 (SD)
CV: 14.2% |
Min: 81 |
Max: 118
Q1: 90 |
Median: 99 |
Q3: 102
Skewness: 0.412 |
Kurtosis: 0.361
WISUDA
11
Mean ± 5 (SD)
CV: 47.4% |
Min: 3 |
Max: 17
Q1: 10 |
Median: 11 |
Q3: 13
Skewness: -0.702 |
Kurtosis: 1.475
CUTI
7
Mean ± 2 (SD)
CV: 33.5% |
Min: 4 |
Max: 10
Q1: 6 |
Median: 6 |
Q3: 8
Skewness: 0.405 |
Kurtosis: -0.178
NONAKTIF
60
Mean ± 23 (SD)
CV: 38.9% |
Min: 28 |
Max: 79
Q1: 42 |
Median: 71 |
Q3: 78
Skewness: -0.734 |
Kurtosis: -2.106