Analisis Data dan Retensi Mahasiswa Program Studi Pendidikan Matematika | Periode 2021-2025
Analisis korelasi menunjukkan hubungan statistik antara berbagai variabel dalam sistem penerimaan dan retensi mahasiswa. Korelasi positif tinggi (>0.7) menunjukkan hubungan yang kuat, sementara korelasi negatif menunjukkan hubungan terbalik.
| Variabel | Animo | Daya Tampung | Hasil | Mhs Baru | Mhs Aktif | Wisuda | Efektivitas | Tingkat Wisuda | Retention Rate |
|---|---|---|---|---|---|---|---|---|---|
| Animo | 1 | -0.15 | 0.66 | 0.39 | -0.73 | 0.64 | -0.47 | 0.62 | 0.2 |
| Daya Tampung | -0.15 | 1 | -0.14 | -0.17 | 0.7 | -0.5 | 0.1 | -0.86 | 0.66 |
| Hasil | 0.66 | -0.14 | 1 | 0.76 | -0.65 | 0.62 | 0.34 | 0.5 | 0.35 |
| Mhs Baru | 0.39 | -0.17 | 0.76 | 1 | -0.65 | 0.08 | 0.41 | 0.35 | 0.59 |
| Mhs Aktif | -0.73 | 0.7 | -0.65 | -0.65 | 1 | -0.58 | 0.19 | -0.91 | 0.04 |
| Wisuda | 0.64 | -0.5 | 0.62 | 0.08 | -0.58 | 1 | -0.1 | 0.76 | -0.45 |
| Efektivitas | -0.47 | 0.1 | 0.34 | 0.41 | 0.19 | -0.1 | 1 | -0.25 | 0.21 |
| Tingkat Wisuda | 0.62 | -0.86 | 0.5 | 0.35 | -0.91 | 0.76 | -0.25 | 1 | -0.43 |
| Retention Rate | 0.2 | 0.66 | 0.35 | 0.59 | 0.04 | -0.45 | 0.21 | -0.43 | 1 |
| Tahun | Animo | Daya Tampung | Hasil | Mhs Baru | Mhs Aktif | Wisuda | Cuti | Nonaktif | Efektivitas (%) | Utilisasi (%) | Tingkat Wisuda (%) | Retention Rate (%) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021 | 62 | 45 | 41 | 35 | 68 | 30 | 9 | 185 | 66.1% | 91.1% | 44.1% | 100% |
| 2022 | 80 | 50 | 45 | 36 | 101 | 27 | 12 | 187 | 56.3% | 90% | 26.7% | 148.5% |
| 2023 | 53 | 50 | 46 | 42 | 155 | 20 | 15 | 186 | 86.8% | 92% | 12.9% | 153.5% |
| 2024 | 45 | 50 | 28 | 28 | 207 | 10 | 14 | 168 | 62.2% | 56% | 4.8% | 133.5% |
| 2025 | 52 | 50 | 36 | 22 | 222 | 27 | 38 | 133 | 69.2% | 72% | 12.2% | 107.2% |