Analisis Jumlah Mahasiswa Program Studi Magister Ilmu Ekonomi

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
326.4%
Sangat Baik
Retention Rate Rata-rata
53.1%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
32.1%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-15.7%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
80.6%
Peningkatan output lulusan
Efisiensi Konversi Animo
101.5%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
33.9%
Tinggi
Volatilitas Animo
51.4%
Coefficient of Variation
Utilization Capacity
326.4%
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 85 25 82 82 191 0 57 31
2022 160 25 158 158 278 0 41 67
2023 65 25 62 62 364 0 96 58
2024 50 25 46 46 183 0 164 127
2025 65 25 60 60 161 0 14 56
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 96.5% 328.0% 55.3% 16.2% 29.8% 328.0% 36.5%
2022 98.8% 632.0% 52.6% 24.1% 14.7% 632.0% 41.9%
2023 95.4% 248.0% 66.2% 15.9% 26.4% 248.0% 89.2%
2024 92.0% 184.0% 32.0% 69.4% 89.6% 184.0% 254.0%
2025 92.3% 240.0% 59.1% 34.8% 8.7% 240.0% 86.2%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 88.2% -59.4% -23.1% 30.0% 8.9% -23.5%
DAYA TAMPUNG 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%
HASIL 92.7% -60.8% -25.8% 30.4% 9.1% -26.8%
MHS BARU 92.7% -60.8% -25.8% 30.4% 9.1% -26.8%
MHS AKTIF 45.5% 30.9% -49.7% -12.0% 3.7% -15.7%
WISUDA 116.1% -13.4% 119.0% -55.9% 41.4% 80.6%
CUTI 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%
NONAKTIF -28.1% 134.1% 70.8% -91.5% 21.4% -75.4%

📊 Statistik Deskriptif Lanjutan

ANIMO

85
Mean ± 44 (SD)
CV: 51.4% | Min: 50 | Max: 160
Q1: 65 | Median: 65 | Q3: 85
Skewness: 1.808 | Kurtosis: 3.435

DAYA TAMPUNG

25
Mean ± 0 (SD)
CV: 0.0% | Min: 25 | Max: 25
Q1: 25 | Median: 25 | Q3: 25
Skewness: 0.000 | Kurtosis: 0.000

HASIL

82
Mean ± 45 (SD)
CV: 54.7% | Min: 46 | Max: 158
Q1: 60 | Median: 62 | Q3: 82
Skewness: 1.800 | Kurtosis: 3.390

MHS BARU

82
Mean ± 45 (SD)
CV: 54.7% | Min: 46 | Max: 158
Q1: 60 | Median: 62 | Q3: 82
Skewness: 1.800 | Kurtosis: 3.390

MHS AKTIF

235
Mean ± 85 (SD)
CV: 35.9% | Min: 161 | Max: 364
Q1: 183 | Median: 191 | Q3: 278
Skewness: 1.075 | Kurtosis: -0.206

WISUDA

68
Mean ± 36 (SD)
CV: 52.6% | Min: 31 | Max: 127
Q1: 56 | Median: 58 | Q3: 67
Skewness: 1.421 | Kurtosis: 2.899

CUTI

0
Mean ± 0 (SD)
CV: 0.0% | Min: 0 | Max: 0
Q1: 0 | Median: 0 | Q3: 0
Skewness: 0.000 | Kurtosis: 0.000

NONAKTIF

74
Mean ± 58 (SD)
CV: 78.3% | Min: 14 | Max: 164
Q1: 41 | Median: 57 | Q3: 96
Skewness: 0.985 | Kurtosis: 0.626

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

🔮 Forecasting & Analisis Skenario 2026-2028