Analisis Jumlah Mahasiswa Program Studi Magister Pendidikan Matematika

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
80.3%
Sangat Baik
Retention Rate Rata-rata
36.0%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
43.2%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
63.2%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
88.9%
Peningkatan output lulusan
Efisiensi Konversi Animo
181.1%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
55.5%
Tinggi
Volatilitas Animo
58.6%
Coefficient of Variation
Utilization Capacity
80.3%
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 9 10 9 9 19 0 11 9
2022 16 15 16 16 20 0 14 8
2023 19 20 19 19 34 0 8 5
2024 8 10 8 8 22 0 15 13
2025 3 10 3 3 31 0 18 17
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 100.0% 90.0% 33.3% 47.4% 57.9% 90.0% 100.0%
2022 100.0% 106.7% 15.4% 40.0% 70.0% 106.7% 50.0%
2023 100.0% 95.0% 53.6% 14.7% 23.5% 95.0% 26.3%
2024 100.0% 80.0% 33.3% 59.1% 68.2% 80.0% 162.5%
2025 100.0% 30.0% 44.4% 54.8% 58.1% 30.0% 566.7%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 77.8% 18.8% -57.9% -62.5% -6.0% -66.7%
DAYA TAMPUNG 50.0% 33.3% -50.0% 0.0% 8.3% 0.0%
HASIL 77.8% 18.8% -57.9% -62.5% -6.0% -66.7%
MHS BARU 77.8% 18.8% -57.9% -62.5% -6.0% -66.7%
MHS AKTIF 5.3% 70.0% -35.3% 40.9% 20.2% 63.2%
WISUDA -11.1% -37.5% 160.0% 30.8% 35.5% 88.9%
CUTI 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%
NONAKTIF 27.3% -42.9% 87.5% 20.0% 23.0% 63.6%

📊 Statistik Deskriptif Lanjutan

ANIMO

11
Mean ± 6 (SD)
CV: 58.6% | Min: 3 | Max: 19
Q1: 8 | Median: 9 | Q3: 16
Skewness: 0.140 | Kurtosis: -1.530

DAYA TAMPUNG

13
Mean ± 4 (SD)
CV: 34.4% | Min: 10 | Max: 20
Q1: 10 | Median: 10 | Q3: 15
Skewness: 1.258 | Kurtosis: 0.313

HASIL

11
Mean ± 6 (SD)
CV: 58.6% | Min: 3 | Max: 19
Q1: 8 | Median: 9 | Q3: 16
Skewness: 0.140 | Kurtosis: -1.530

MHS BARU

11
Mean ± 6 (SD)
CV: 58.6% | Min: 3 | Max: 19
Q1: 8 | Median: 9 | Q3: 16
Skewness: 0.140 | Kurtosis: -1.530

MHS AKTIF

25
Mean ± 7 (SD)
CV: 27.1% | Min: 19 | Max: 34
Q1: 20 | Median: 22 | Q3: 31
Skewness: 0.607 | Kurtosis: -2.588

WISUDA

10
Mean ± 5 (SD)
CV: 44.9% | Min: 5 | Max: 17
Q1: 8 | Median: 9 | Q3: 13
Skewness: 0.536 | Kurtosis: -0.555

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

13
Mean ± 4 (SD)
CV: 29.0% | Min: 8 | Max: 18
Q1: 11 | Median: 14 | Q3: 15
Skewness: -0.254 | Kurtosis: -0.501

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

🔮 Forecasting & Analisis Skenario 2026-2028