Analisis Jumlah Mahasiswa Program Studi Magister Manajemen

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
310.0%
Sangat Baik
Retention Rate Rata-rata
39.1%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
24.3%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
52.0%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
177.8%
Peningkatan output lulusan
Efisiensi Konversi Animo
74.2%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
82.1%
Tinggi
Volatilitas Animo
49.9%
Coefficient of Variation
Utilization Capacity
310.0%
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 40 20 36 36 102 0 86 18
2022 120 20 118 118 167 0 231 27
2023 55 20 54 54 202 0 243 71
2024 63 20 60 60 195 0 94 40
2025 45 20 42 42 155 0 30 50
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 90.0% 180.0% 38.8% 17.6% 84.3% 180.0% 45.0%
2022 98.3% 590.0% 16.0% 16.2% 138.3% 590.0% 22.5%
2023 98.2% 270.0% 32.0% 35.1% 120.3% 270.0% 129.1%
2024 95.2% 300.0% 50.2% 20.5% 48.2% 300.0% 63.5%
2025 93.3% 210.0% 58.5% 32.3% 19.4% 210.0% 111.1%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 200.0% -54.2% 14.5% -28.6% 33.0% 12.5%
DAYA TAMPUNG 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%
HASIL 227.8% -54.2% 11.1% -30.0% 38.7% 16.7%
MHS BARU 227.8% -54.2% 11.1% -30.0% 38.7% 16.7%
MHS AKTIF 63.7% 21.0% -3.5% -20.5% 15.2% 52.0%
WISUDA 50.0% 163.0% -43.7% 25.0% 48.6% 177.8%
CUTI 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%
NONAKTIF 168.6% 5.2% -61.3% -68.1% 11.1% -65.1%

📊 Statistik Deskriptif Lanjutan

ANIMO

65
Mean ± 32 (SD)
CV: 49.9% | Min: 40 | Max: 120
Q1: 45 | Median: 55 | Q3: 63
Skewness: 1.827 | Kurtosis: 3.528

DAYA TAMPUNG

20
Mean ± 0 (SD)
CV: 0.0% | Min: 20 | Max: 20
Q1: 20 | Median: 20 | Q3: 20
Skewness: 0.000 | Kurtosis: 0.000

HASIL

62
Mean ± 33 (SD)
CV: 52.8% | Min: 36 | Max: 118
Q1: 42 | Median: 54 | Q3: 60
Skewness: 1.780 | Kurtosis: 3.415

MHS BARU

62
Mean ± 33 (SD)
CV: 52.8% | Min: 36 | Max: 118
Q1: 42 | Median: 54 | Q3: 60
Skewness: 1.780 | Kurtosis: 3.415

MHS AKTIF

164
Mean ± 40 (SD)
CV: 24.2% | Min: 102 | Max: 202
Q1: 155 | Median: 167 | Q3: 195
Skewness: -1.045 | Kurtosis: 0.918

WISUDA

41
Mean ± 21 (SD)
CV: 50.1% | Min: 18 | Max: 71
Q1: 27 | Median: 40 | Q3: 50
Skewness: 0.557 | Kurtosis: -0.277

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

137
Mean ± 95 (SD)
CV: 69.3% | Min: 30 | Max: 243
Q1: 86 | Median: 94 | Q3: 231
Skewness: 0.296 | Kurtosis: -2.651

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

🔮 Forecasting & Analisis Skenario 2026-2028