Analisis Jumlah Mahasiswa Program Studi Pendidikan Bahasa Inggris

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
190.8%
Sangat Baik
Retention Rate Rata-rata
51.2%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
9.5%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
21.8%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
50.0%
Peningkatan output lulusan
Efisiensi Konversi Animo
25.6%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
74.9%
Tinggi
Volatilitas Animo
28.9%
Coefficient of Variation
Utilization Capacity
152.2%
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 170 45 134 108 307 4 244 32
2022 270 45 131 113 479 10 281 47
2023 155 80 115 91 606 19 319 51
2024 147 80 85 66 678 32 359 40
2025 152 80 92 59 374 73 374 48
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 78.8% 297.8% 41.9% 10.4% 80.8% 240.0% 18.8%
2022 48.5% 291.1% 52.7% 9.8% 60.8% 251.1% 17.4%
2023 74.2% 143.8% 58.2% 8.4% 55.8% 113.8% 32.9%
2024 57.8% 106.3% 60.5% 5.9% 57.7% 82.5% 27.2%
2025 60.5% 115.0% 42.7% 12.8% 119.5% 73.8% 31.6%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 58.8% -42.6% -5.2% 3.4% 3.6% -10.6%
DAYA TAMPUNG 0.0% 77.8% 0.0% 0.0% 19.4% 77.8%
HASIL -2.2% -12.2% -26.1% 8.2% -8.1% -31.3%
MHS BARU 4.6% -19.5% -27.5% -10.6% -13.2% -45.4%
MHS AKTIF 56.0% 26.5% 11.9% -44.8% 12.4% 21.8%
WISUDA 46.9% 8.5% -21.6% 20.0% 13.5% 50.0%
CUTI 150.0% 90.0% 68.4% 128.1% 109.1% 1,725.0%
NONAKTIF 15.2% 13.5% 12.5% 4.2% 11.4% 53.3%

📊 Statistik Deskriptif Lanjutan

ANIMO

179
Mean ± 52 (SD)
CV: 28.9% | Min: 147 | Max: 270
Q1: 152 | Median: 155 | Q3: 170
Skewness: 2.090 | Kurtosis: 4.432

DAYA TAMPUNG

66
Mean ± 19 (SD)
CV: 29.0% | Min: 45 | Max: 80
Q1: 45 | Median: 80 | Q3: 80
Skewness: -0.609 | Kurtosis: -3.333

HASIL

111
Mean ± 22 (SD)
CV: 20.0% | Min: 85 | Max: 134
Q1: 92 | Median: 115 | Q3: 131
Skewness: -0.249 | Kurtosis: -2.721

MHS BARU

87
Mean ± 24 (SD)
CV: 27.8% | Min: 59 | Max: 113
Q1: 66 | Median: 91 | Q3: 108
Skewness: -0.208 | Kurtosis: -2.709

MHS AKTIF

489
Mean ± 155 (SD)
CV: 31.7% | Min: 307 | Max: 678
Q1: 374 | Median: 479 | Q3: 606
Skewness: 0.097 | Kurtosis: -2.045

WISUDA

44
Mean ± 8 (SD)
CV: 17.5% | Min: 32 | Max: 51
Q1: 40 | Median: 47 | Q3: 48
Skewness: -1.009 | Kurtosis: 0.011

CUTI

28
Mean ± 27 (SD)
CV: 99.6% | Min: 4 | Max: 73
Q1: 10 | Median: 19 | Q3: 32
Skewness: 1.494 | Kurtosis: 2.212

NONAKTIF

315
Mean ± 54 (SD)
CV: 17.1% | Min: 244 | Max: 374
Q1: 281 | Median: 319 | Q3: 359
Skewness: -0.320 | Kurtosis: -1.671

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028