Analisis Jumlah Mahasiswa Program Studi Pendidikan Anak Usia Dini

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
139.9%
Sangat Baik
Retention Rate Rata-rata
31.2%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
25.2%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
262.8%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-44.0%
Peningkatan output lulusan
Efisiensi Konversi Animo
39.1%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
147.1%
Tinggi
Volatilitas Animo
46.2%
Coefficient of Variation
Utilization Capacity
122.9%
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 82 45 59 53 78 2 260 50
2022 201 60 140 125 147 4 228 26
2023 78 60 66 53 235 5 212 28
2024 114 60 50 35 266 19 211 60
2025 85 60 85 85 283 20 158 28
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 72.0% 131.1% 7.5% 64.1% 335.9% 117.8% 61.0%
2022 69.7% 233.3% 8.0% 17.7% 157.8% 208.3% 12.9%
2023 84.6% 110.0% 43.1% 11.9% 92.3% 88.3% 35.9%
2024 43.9% 83.3% 46.0% 22.6% 86.5% 58.3% 52.6%
2025 100.0% 141.7% 51.6% 9.9% 62.9% 141.7% 32.9%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 145.1% -61.2% 46.2% -25.4% 26.2% 3.7%
DAYA TAMPUNG 33.3% 0.0% 0.0% 0.0% 8.3% 33.3%
HASIL 137.3% -52.9% -24.2% 70.0% 32.5% 44.1%
MHS BARU 135.8% -57.6% -34.0% 142.9% 46.8% 60.4%
MHS AKTIF 88.5% 59.9% 13.2% 6.4% 42.0% 262.8%
WISUDA -48.0% 7.7% 114.3% -53.3% 5.2% -44.0%
CUTI 100.0% 25.0% 280.0% 5.3% 102.6% 900.0%
NONAKTIF -12.3% -7.0% -0.5% -25.1% -11.2% -39.2%

📊 Statistik Deskriptif Lanjutan

ANIMO

112
Mean ± 52 (SD)
CV: 46.2% | Min: 78 | Max: 201
Q1: 82 | Median: 85 | Q3: 114
Skewness: 1.862 | Kurtosis: 3.407

DAYA TAMPUNG

57
Mean ± 7 (SD)
CV: 11.8% | Min: 45 | Max: 60
Q1: 60 | Median: 60 | Q3: 60
Skewness: -2.236 | Kurtosis: 5.000

HASIL

80
Mean ± 36 (SD)
CV: 44.9% | Min: 50 | Max: 140
Q1: 59 | Median: 66 | Q3: 85
Skewness: 1.592 | Kurtosis: 2.511

MHS BARU

70
Mean ± 36 (SD)
CV: 50.6% | Min: 35 | Max: 125
Q1: 53 | Median: 53 | Q3: 85
Skewness: 1.058 | Kurtosis: 0.442

MHS AKTIF

202
Mean ± 87 (SD)
CV: 43.0% | Min: 78 | Max: 283
Q1: 147 | Median: 235 | Q3: 266
Skewness: -0.780 | Kurtosis: -1.275

WISUDA

38
Mean ± 16 (SD)
CV: 40.6% | Min: 26 | Max: 60
Q1: 28 | Median: 28 | Q3: 50
Skewness: 0.824 | Kurtosis: -2.003

CUTI

10
Mean ± 9 (SD)
CV: 87.5% | Min: 2 | Max: 20
Q1: 4 | Median: 5 | Q3: 19
Skewness: 0.546 | Kurtosis: -3.177

NONAKTIF

214
Mean ± 37 (SD)
CV: 17.3% | Min: 158 | Max: 260
Q1: 211 | Median: 212 | Q3: 228
Skewness: -0.597 | Kurtosis: 1.585

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028