Analisis Jumlah Mahasiswa Program Studi Pendidikan Sejarah

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
91.4%
Sangat Baik
Retention Rate Rata-rata
42.6%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
12.2%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
93.0%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-24.0%
Peningkatan output lulusan
Efisiensi Konversi Animo
37.1%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
110.4%
Tinggi
Volatilitas Animo
51.8%
Coefficient of Variation
Utilization Capacity
77.7%
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 89 45 65 55 171 8 156 25
2022 165 48 61 49 223 7 277 41
2023 60 70 58 39 259 24 305 37
2024 50 70 24 44 290 43 285 23
2025 76 70 48 32 330 65 227 19
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 73.0% 144.4% 39.1% 14.6% 95.9% 122.2% 28.1%
2022 37.0% 127.1% 35.4% 18.4% 127.4% 102.1% 24.8%
2023 96.7% 82.9% 39.1% 14.3% 127.0% 55.7% 61.7%
2024 48.0% 34.3% 44.4% 7.9% 113.1% 62.9% 46.0%
2025 63.2% 68.6% 54.8% 5.8% 88.5% 45.7% 25.0%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 85.4% -63.6% -16.7% 52.0% 14.3% -14.6%
DAYA TAMPUNG 6.7% 45.8% 0.0% 0.0% 13.1% 55.6%
HASIL -6.2% -4.9% -58.6% 100.0% 7.6% -26.2%
MHS BARU -10.9% -20.4% 12.8% -27.3% -11.4% -41.8%
MHS AKTIF 30.4% 16.1% 12.0% 13.8% 18.1% 93.0%
WISUDA 64.0% -9.8% -37.8% -17.4% -0.2% -24.0%
CUTI -12.5% 242.9% 79.2% 51.2% 90.2% 712.5%
NONAKTIF 77.6% 10.1% -6.6% -20.4% 15.2% 45.5%

📊 Statistik Deskriptif Lanjutan

ANIMO

88
Mean ± 46 (SD)
CV: 51.8% | Min: 50 | Max: 165
Q1: 60 | Median: 76 | Q3: 89
Skewness: 1.666 | Kurtosis: 2.990

DAYA TAMPUNG

61
Mean ± 13 (SD)
CV: 21.3% | Min: 45 | Max: 70
Q1: 48 | Median: 70 | Q3: 70
Skewness: -0.639 | Kurtosis: -3.154

HASIL

51
Mean ± 16 (SD)
CV: 32.1% | Min: 24 | Max: 65
Q1: 48 | Median: 58 | Q3: 61
Skewness: -1.522 | Kurtosis: 2.151

MHS BARU

44
Mean ± 9 (SD)
CV: 20.3% | Min: 32 | Max: 55
Q1: 39 | Median: 44 | Q3: 49
Skewness: -0.124 | Kurtosis: -0.657

MHS AKTIF

255
Mean ± 61 (SD)
CV: 24.0% | Min: 171 | Max: 330
Q1: 223 | Median: 259 | Q3: 290
Skewness: -0.260 | Kurtosis: -0.502

WISUDA

29
Mean ± 9 (SD)
CV: 32.7% | Min: 19 | Max: 41
Q1: 23 | Median: 25 | Q3: 37
Skewness: 0.468 | Kurtosis: -2.385

CUTI

29
Mean ± 25 (SD)
CV: 84.0% | Min: 7 | Max: 65
Q1: 8 | Median: 24 | Q3: 43
Skewness: 0.731 | Kurtosis: -0.943

NONAKTIF

250
Mean ± 60 (SD)
CV: 24.0% | Min: 156 | Max: 305
Q1: 227 | Median: 277 | Q3: 285
Skewness: -1.191 | Kurtosis: 0.704

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028