Analisis Jumlah Mahasiswa Program Studi Pendidikan Biologi

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

Periode Analisis: 2021-2025 | Proyeksi: 2026-2028

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
152.8%
Sangat Baik
Retention Rate Rata-rata
44.2%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
17.1%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
205.8%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
34.8%
Peningkatan output lulusan
Efisiensi Konversi Animo
31.9%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
81.2%
Tinggi
Volatilitas Animo
14.1%
Coefficient of Variation
Utilization Capacity
129.0%
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 147 45 116 95 155 6 192 46
2022 178 40 85 76 249 5 190 55
2023 122 80 90 75 307 11 232 39
2024 163 80 79 68 431 15 240 35
2025 142 80 66 52 474 26 266 62
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 78.9% 257.8% 20.1% 29.7% 127.7% 211.1% 31.3%
2022 47.8% 212.5% 41.4% 22.1% 78.3% 190.0% 30.9%
2023 73.8% 112.5% 46.1% 12.7% 79.2% 93.8% 32.0%
2024 48.5% 98.8% 56.9% 8.1% 59.2% 85.0% 21.5%
2025 46.5% 82.5% 56.3% 13.1% 61.6% 65.0% 43.7%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 21.1% -31.5% 33.6% -12.9% 2.6% -3.4%
DAYA TAMPUNG -11.1% 100.0% 0.0% 0.0% 22.2% 77.8%
HASIL -26.7% 5.9% -12.2% -16.5% -12.4% -43.1%
MHS BARU -20.0% -1.3% -9.3% -23.5% -13.5% -45.3%
MHS AKTIF 60.6% 23.3% 40.4% 10.0% 33.6% 205.8%
WISUDA 19.6% -29.1% -10.3% 77.1% 14.3% 34.8%
CUTI -16.7% 120.0% 36.4% 73.3% 53.3% 333.3%
NONAKTIF -1.0% 22.1% 3.4% 10.8% 8.8% 38.5%

📊 Statistik Deskriptif Lanjutan

ANIMO

150
Mean ± 21 (SD)
CV: 14.1% | Min: 122 | Max: 178
Q1: 142 | Median: 147 | Q3: 163
Skewness: -0.022 | Kurtosis: -0.294

DAYA TAMPUNG

65
Mean ± 21 (SD)
CV: 31.7% | Min: 40 | Max: 80
Q1: 45 | Median: 80 | Q3: 80
Skewness: -0.642 | Kurtosis: -3.138

HASIL

87
Mean ± 18 (SD)
CV: 21.1% | Min: 66 | Max: 116
Q1: 79 | Median: 85 | Q3: 90
Skewness: 0.920 | Kurtosis: 1.690

MHS BARU

73
Mean ± 16 (SD)
CV: 21.2% | Min: 52 | Max: 95
Q1: 68 | Median: 75 | Q3: 76
Skewness: 0.080 | Kurtosis: 1.248

MHS AKTIF

323
Mean ± 131 (SD)
CV: 40.5% | Min: 155 | Max: 474
Q1: 249 | Median: 307 | Q3: 431
Skewness: -0.091 | Kurtosis: -1.664

WISUDA

47
Mean ± 11 (SD)
CV: 23.5% | Min: 35 | Max: 62
Q1: 39 | Median: 46 | Q3: 55
Skewness: 0.315 | Kurtosis: -1.738

CUTI

13
Mean ± 9 (SD)
CV: 67.5% | Min: 5 | Max: 26
Q1: 6 | Median: 11 | Q3: 15
Skewness: 1.145 | Kurtosis: 0.971

NONAKTIF

224
Mean ± 33 (SD)
CV: 14.6% | Min: 190 | Max: 266
Q1: 192 | Median: 232 | Q3: 240
Skewness: 0.079 | Kurtosis: -1.877

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028