Analisis Jumlah Mahasiswa Program Studi Biologi

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
86.5%
Sangat Baik
Retention Rate Rata-rata
61.5%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
7.1%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-14.9%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-7.1%
Peningkatan output lulusan
Efisiensi Konversi Animo
26.8%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
56.5%
Tinggi
Volatilitas Animo
72.3%
Coefficient of Variation
Utilization Capacity
57.9%
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 96 71 55 37 241 5 130 14
2022 205 65 59 46 278 10 142 20
2023 36 42 35 29 246 16 197 22
2024 76 42 31 20 237 18 71 17
2025 50 42 45 21 205 28 70 13
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 57.3% 77.5% 58.6% 5.8% 56.0% 52.1% 14.6%
2022 28.8% 90.8% 58.9% 7.2% 54.7% 70.8% 9.8%
2023 97.2% 83.3% 49.8% 8.9% 86.6% 69.0% 61.1%
2024 40.8% 73.8% 71.1% 7.2% 37.6% 47.6% 22.4%
2025 90.0% 107.1% 68.9% 6.3% 47.8% 50.0% 26.0%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 113.5% -82.4% 111.1% -34.2% 27.0% -47.9%
DAYA TAMPUNG -8.5% -35.4% 0.0% 0.0% -11.0% -40.8%
HASIL 7.3% -40.7% -11.4% 45.2% 0.1% -18.2%
MHS BARU 24.3% -37.0% -31.0% 5.0% -9.7% -43.2%
MHS AKTIF 15.4% -11.5% -3.7% -13.5% -3.3% -14.9%
WISUDA 42.9% 10.0% -22.7% -23.5% 1.7% -7.1%
CUTI 100.0% 60.0% 12.5% 55.6% 57.0% 460.0%
NONAKTIF 9.2% 38.7% -64.0% -1.4% -4.4% -46.2%

📊 Statistik Deskriptif Lanjutan

ANIMO

93
Mean ± 67 (SD)
CV: 72.3% | Min: 36 | Max: 205
Q1: 50 | Median: 76 | Q3: 96
Skewness: 1.605 | Kurtosis: 2.767

DAYA TAMPUNG

52
Mean ± 14 (SD)
CV: 27.5% | Min: 42 | Max: 71
Q1: 42 | Median: 42 | Q3: 65
Skewness: 0.706 | Kurtosis: -2.765

HASIL

45
Mean ± 12 (SD)
CV: 27.0% | Min: 31 | Max: 59
Q1: 35 | Median: 45 | Q3: 55
Skewness: 0.000 | Kurtosis: -2.474

MHS BARU

31
Mean ± 11 (SD)
CV: 36.0% | Min: 20 | Max: 46
Q1: 21 | Median: 29 | Q3: 37
Skewness: 0.572 | Kurtosis: -1.285

MHS AKTIF

241
Mean ± 26 (SD)
CV: 10.8% | Min: 205 | Max: 278
Q1: 237 | Median: 241 | Q3: 246
Skewness: 0.019 | Kurtosis: 1.704

WISUDA

17
Mean ± 4 (SD)
CV: 22.3% | Min: 13 | Max: 22
Q1: 14 | Median: 17 | Q3: 20
Skewness: 0.190 | Kurtosis: -2.167

CUTI

15
Mean ± 9 (SD)
CV: 56.5% | Min: 5 | Max: 28
Q1: 10 | Median: 16 | Q3: 18
Skewness: 0.465 | Kurtosis: 0.224

NONAKTIF

122
Mean ± 53 (SD)
CV: 43.7% | Min: 70 | Max: 197
Q1: 71 | Median: 130 | Q3: 142
Skewness: 0.431 | Kurtosis: -0.932

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028