Analisis Jumlah Mahasiswa Program Studi Diploma Teknik Sipil

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
93.8%
Sangat Baik
Retention Rate Rata-rata
33.6%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
8.2%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-3.2%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
25.0%
Peningkatan output lulusan
Efisiensi Konversi Animo
22.1%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
222.8%
Tinggi
Volatilitas Animo
34.5%
Coefficient of Variation
Utilization Capacity
68.7%
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 79 40 65 51 220 0 1,327 16
2022 59 40 35 32 221 3 369 17
2023 89 126 57 46 231 6 335 19
2024 140 96 72 50 243 10 217 20
2025 77 74 73 35 213 17 199 20
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 82.3% 162.5% 11.2% 7.3% 603.2% 127.5% 20.3%
2022 59.3% 87.5% 32.9% 7.7% 168.3% 80.0% 28.8%
2023 64.0% 45.2% 34.3% 8.2% 147.6% 36.5% 21.3%
2024 51.4% 75.0% 44.9% 8.2% 93.4% 52.1% 14.3%
2025 94.8% 98.6% 44.8% 9.4% 101.4% 47.3% 26.0%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO -25.3% 50.8% 57.3% -45.0% 9.5% -2.5%
DAYA TAMPUNG 0.0% 215.0% -23.8% -22.9% 42.1% 85.0%
HASIL -46.2% 62.9% 26.3% 1.4% 11.1% 12.3%
MHS BARU -37.3% 43.8% 8.7% -30.0% -3.7% -31.4%
MHS AKTIF 0.5% 4.5% 5.2% -12.3% -0.5% -3.2%
WISUDA 6.3% 11.8% 5.3% 0.0% 5.8% 25.0%
CUTI 0.0% 100.0% 66.7% 70.0% 59.2% 466.7%
NONAKTIF -72.2% -9.2% -35.2% -8.3% -31.2% -85.0%

📊 Statistik Deskriptif Lanjutan

ANIMO

89
Mean ± 31 (SD)
CV: 34.5% | Min: 59 | Max: 140
Q1: 77 | Median: 79 | Q3: 89
Skewness: 1.530 | Kurtosis: 2.966

DAYA TAMPUNG

75
Mean ± 37 (SD)
CV: 49.3% | Min: 40 | Max: 126
Q1: 40 | Median: 74 | Q3: 96
Skewness: 0.433 | Kurtosis: -1.426

HASIL

60
Mean ± 16 (SD)
CV: 25.8% | Min: 35 | Max: 73
Q1: 57 | Median: 65 | Q3: 72
Skewness: -1.406 | Kurtosis: 1.756

MHS BARU

43
Mean ± 9 (SD)
CV: 20.5% | Min: 32 | Max: 51
Q1: 35 | Median: 46 | Q3: 50
Skewness: -0.482 | Kurtosis: -2.769

MHS AKTIF

226
Mean ± 12 (SD)
CV: 5.2% | Min: 213 | Max: 243
Q1: 220 | Median: 221 | Q3: 231
Skewness: 0.830 | Kurtosis: 0.076

WISUDA

18
Mean ± 2 (SD)
CV: 9.9% | Min: 16 | Max: 20
Q1: 17 | Median: 19 | Q3: 20
Skewness: -0.567 | Kurtosis: -2.231

CUTI

7
Mean ± 7 (SD)
CV: 91.8% | Min: 0 | Max: 17
Q1: 3 | Median: 6 | Q3: 10
Skewness: 0.741 | Kurtosis: 0.042

NONAKTIF

489
Mean ± 474 (SD)
CV: 96.8% | Min: 199 | Max: 1,327
Q1: 217 | Median: 335 | Q3: 369
Skewness: 2.104 | Kurtosis: 4.527

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

🔮 Forecasting & Analisis Skenario 2026-2028