Analisis Jumlah Mahasiswa Program Studi Pendidikan Matematika

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
80.2%
Sangat Baik
Retention Rate Rata-rata
35.5%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
20.1%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
226.5%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-10.0%
Peningkatan output lulusan
Efisiensi Konversi Animo
38.8%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
155.4%
Tinggi
Volatilitas Animo
23.1%
Coefficient of Variation
Utilization Capacity
66.8%
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 62 45 41 35 68 9 185 30
2022 80 50 45 36 101 12 187 27
2023 53 50 46 42 155 15 186 20
2024 45 50 28 28 207 14 168 10
2025 52 50 36 22 222 38 133 27
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 66.1% 91.1% 13.3% 44.1% 285.3% 77.8% 48.4%
2022 56.3% 90.0% 23.3% 26.7% 197.0% 72.0% 33.8%
2023 86.8% 92.0% 35.4% 12.9% 129.7% 84.0% 37.7%
2024 62.2% 56.0% 50.1% 4.8% 87.9% 56.0% 22.2%
2025 69.2% 72.0% 55.6% 12.2% 77.0% 44.0% 51.9%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 29.0% -33.8% -15.1% 15.6% -1.1% -16.1%
DAYA TAMPUNG 11.1% 0.0% 0.0% 0.0% 2.8% 11.1%
HASIL 9.8% 2.2% -39.1% 28.6% 0.4% -12.2%
MHS BARU 2.9% 16.7% -33.3% -21.4% -8.8% -37.1%
MHS AKTIF 48.5% 53.5% 33.5% 7.2% 35.7% 226.5%
WISUDA -10.0% -25.9% -50.0% 170.0% 21.0% -10.0%
CUTI 33.3% 25.0% -6.7% 171.4% 55.8% 322.2%
NONAKTIF 1.1% -0.5% -9.7% -20.8% -7.5% -28.1%

📊 Statistik Deskriptif Lanjutan

ANIMO

58
Mean ± 14 (SD)
CV: 23.1% | Min: 45 | Max: 80
Q1: 52 | Median: 53 | Q3: 62
Skewness: 1.236 | Kurtosis: 1.502

DAYA TAMPUNG

49
Mean ± 2 (SD)
CV: 4.6% | Min: 45 | Max: 50
Q1: 50 | Median: 50 | Q3: 50
Skewness: -2.236 | Kurtosis: 5.000

HASIL

39
Mean ± 7 (SD)
CV: 18.9% | Min: 28 | Max: 46
Q1: 36 | Median: 41 | Q3: 45
Skewness: -0.950 | Kurtosis: -0.012

MHS BARU

33
Mean ± 8 (SD)
CV: 23.7% | Min: 22 | Max: 42
Q1: 28 | Median: 35 | Q3: 36
Skewness: -0.365 | Kurtosis: -0.643

MHS AKTIF

151
Mean ± 66 (SD)
CV: 44.0% | Min: 68 | Max: 222
Q1: 101 | Median: 155 | Q3: 207
Skewness: -0.203 | Kurtosis: -2.260

WISUDA

23
Mean ± 8 (SD)
CV: 35.3% | Min: 10 | Max: 30
Q1: 20 | Median: 27 | Q3: 27
Skewness: -1.279 | Kurtosis: 1.022

CUTI

18
Mean ± 12 (SD)
CV: 66.1% | Min: 9 | Max: 38
Q1: 12 | Median: 14 | Q3: 15
Skewness: 2.016 | Kurtosis: 4.281

NONAKTIF

172
Mean ± 23 (SD)
CV: 13.4% | Min: 133 | Max: 187
Q1: 168 | Median: 185 | Q3: 186
Skewness: -1.692 | Kurtosis: 2.572

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028