Analisis Jumlah Mahasiswa Fakultas Kesehatan Masyarakat

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
151.7%
Sangat Baik
Retention Rate Rata-rata
71.9%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
6.8%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
27.7%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
11.2%
Peningkatan output lulusan
Efisiensi Konversi Animo
26.6%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
30.3%
Tinggi
Volatilitas Animo
20.7%
Coefficient of Variation
Utilization Capacity
117.4%
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 1,036 510 641 595 3,407 10 1,347 303
2022 1,235 520 766 621 4,209 22 1,641 316
2023 860 510 528 504 5,125 67 1,740 278
2024 1,473 520 1,290 645 4,473 125 613 198
2025 1,041 600 802 769 4,351 298 582 337
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 61.9% 125.7% 63.0% 8.9% 39.8% 116.7% 29.2%
2022 62.0% 147.3% 64.7% 7.5% 39.5% 119.4% 25.6%
2023 61.4% 103.5% 69.6% 5.4% 35.3% 98.8% 32.3%
2024 87.6% 248.1% 82.5% 4.4% 16.5% 124.0% 13.4%
2025 77.0% 133.7% 79.6% 7.7% 20.2% 128.2% 32.4%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 19.2% -30.4% 71.3% -29.3% 7.7% 0.5%
DAYA TAMPUNG 2.0% -1.9% 2.0% 15.4% 4.3% 17.6%
HASIL 19.5% -31.1% 144.3% -37.8% 23.7% 25.1%
MHS BARU 4.4% -18.8% 28.0% 19.2% 8.2% 29.2%
MHS AKTIF 23.5% 21.8% -12.7% -2.7% 7.5% 27.7%
WISUDA 4.3% -12.0% -28.8% 70.2% 8.4% 11.2%
CUTI 120.0% 204.5% 86.6% 138.4% 137.4% 2,880.0%
NONAKTIF 21.8% 6.0% -64.8% -5.1% -10.5% -56.8%

📊 Statistik Deskriptif Lanjutan

ANIMO

1,129
Mean ± 234 (SD)
CV: 20.7% | Min: 860 | Max: 1,473
Q1: 1,036 | Median: 1,041 | Q3: 1,235
Skewness: 0.684 | Kurtosis: 0.182

DAYA TAMPUNG

532
Mean ± 38 (SD)
CV: 7.2% | Min: 510 | Max: 600
Q1: 510 | Median: 520 | Q3: 520
Skewness: 2.142 | Kurtosis: 4.663

HASIL

805
Mean ± 292 (SD)
CV: 36.2% | Min: 528 | Max: 1,290
Q1: 641 | Median: 766 | Q3: 802
Skewness: 1.476 | Kurtosis: 2.669

MHS BARU

627
Mean ± 96 (SD)
CV: 15.3% | Min: 504 | Max: 769
Q1: 595 | Median: 621 | Q3: 645
Skewness: 0.473 | Kurtosis: 1.477

MHS AKTIF

4,313
Mean ± 616 (SD)
CV: 14.3% | Min: 3,407 | Max: 5,125
Q1: 4,209 | Median: 4,351 | Q3: 4,473
Skewness: -0.366 | Kurtosis: 1.627

WISUDA

286
Mean ± 54 (SD)
CV: 18.8% | Min: 198 | Max: 337
Q1: 278 | Median: 303 | Q3: 316
Skewness: -1.418 | Kurtosis: 2.182

CUTI

104
Mean ± 117 (SD)
CV: 112.3% | Min: 10 | Max: 298
Q1: 22 | Median: 67 | Q3: 125
Skewness: 1.502 | Kurtosis: 2.130

NONAKTIF

1,185
Mean ± 555 (SD)
CV: 46.9% | Min: 582 | Max: 1,740
Q1: 613 | Median: 1,347 | Q3: 1,641
Skewness: -0.328 | Kurtosis: -3.029

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028