Analisis Jumlah Mahasiswa Program Studi Magister Administrasi Publik

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
104.7%
Sangat Baik
Retention Rate Rata-rata
43.5%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
25.4%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-23.1%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-12.1%
Peningkatan output lulusan
Efisiensi Konversi Animo
78.6%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
67.2%
Tinggi
Volatilitas Animo
31.9%
Coefficient of Variation
Utilization Capacity
104.7%
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 50 40 46 46 121 0 52 33
2022 58 50 55 55 177 0 89 22
2023 32 30 30 30 115 0 116 36
2024 25 25 24 24 112 0 76 28
2025 45 40 41 41 93 8 61 29
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 92.0% 115.0% 46.9% 27.3% 43.0% 115.0% 66.0%
2022 94.8% 110.0% 52.4% 12.4% 50.3% 110.0% 37.9%
2023 93.8% 100.0% 35.9% 31.3% 100.9% 100.0% 112.5%
2024 96.0% 96.0% 45.8% 25.0% 67.9% 96.0% 112.0%
2025 91.1% 102.5% 36.6% 31.2% 74.2% 102.5% 64.4%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 16.0% -44.8% -21.9% 80.0% 7.3% -10.0%
DAYA TAMPUNG 25.0% -40.0% -16.7% 60.0% 7.1% 0.0%
HASIL 19.6% -45.5% -20.0% 70.8% 6.2% -10.9%
MHS BARU 19.6% -45.5% -20.0% 70.8% 6.2% -10.9%
MHS AKTIF 46.3% -35.0% -2.6% -17.0% -2.1% -23.1%
WISUDA -33.3% 63.6% -22.2% 3.6% 2.9% -12.1%
CUTI 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%
NONAKTIF 71.2% 30.3% -34.5% -19.7% 11.8% 17.3%

📊 Statistik Deskriptif Lanjutan

ANIMO

42
Mean ± 13 (SD)
CV: 31.9% | Min: 25 | Max: 58
Q1: 32 | Median: 45 | Q3: 50
Skewness: -0.221 | Kurtosis: -1.667

DAYA TAMPUNG

37
Mean ± 10 (SD)
CV: 26.3% | Min: 25 | Max: 50
Q1: 30 | Median: 40 | Q3: 40
Skewness: 0.081 | Kurtosis: -0.817

HASIL

39
Mean ± 12 (SD)
CV: 31.6% | Min: 24 | Max: 55
Q1: 30 | Median: 41 | Q3: 46
Skewness: -0.006 | Kurtosis: -1.385

MHS BARU

39
Mean ± 12 (SD)
CV: 31.6% | Min: 24 | Max: 55
Q1: 30 | Median: 41 | Q3: 46
Skewness: -0.006 | Kurtosis: -1.385

MHS AKTIF

124
Mean ± 32 (SD)
CV: 25.6% | Min: 93 | Max: 177
Q1: 112 | Median: 115 | Q3: 121
Skewness: 1.598 | Kurtosis: 3.272

WISUDA

30
Mean ± 5 (SD)
CV: 18.0% | Min: 22 | Max: 36
Q1: 28 | Median: 29 | Q3: 33
Skewness: -0.393 | Kurtosis: 0.045

CUTI

2
Mean ± 4 (SD)
CV: 223.6% | Min: 0 | Max: 8
Q1: 0 | Median: 0 | Q3: 0
Skewness: 2.236 | Kurtosis: 5.000

NONAKTIF

79
Mean ± 25 (SD)
CV: 31.9% | Min: 52 | Max: 116
Q1: 61 | Median: 76 | Q3: 89
Skewness: 0.723 | Kurtosis: -0.062

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

🔮 Forecasting & Analisis Skenario 2026-2028