Analisis Jumlah Mahasiswa Program Studi Ekonomi Pembangunan

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
113.2%
Sangat Baik
Retention Rate Rata-rata
54.7%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
9.9%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-13.9%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
108.5%
Peningkatan output lulusan
Efisiensi Konversi Animo
36.6%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
67.5%
Tinggi
Volatilitas Animo
17.1%
Coefficient of Variation
Utilization Capacity
95.2%
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 351 232 299 243 1,524 14 904 59
2022 487 190 261 220 1,452 31 1,206 253
2023 355 264 307 303 1,458 58 1,144 160
2024 373 264 257 190 1,440 102 673 115
2025 319 264 227 182 1,312 175 558 123
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 85.2% 128.9% 57.1% 3.9% 60.2% 104.7% 16.8%
2022 53.6% 137.4% 45.8% 17.4% 85.2% 115.8% 52.0%
2023 86.5% 116.3% 47.0% 11.0% 82.4% 114.8% 45.1%
2024 68.9% 97.3% 61.3% 8.0% 53.8% 72.0% 30.8%
2025 71.2% 86.0% 62.4% 9.4% 55.9% 68.9% 38.6%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 38.7% -27.1% 5.1% -14.5% 0.6% -9.1%
DAYA TAMPUNG -18.1% 38.9% 0.0% 0.0% 5.2% 13.8%
HASIL -12.7% 17.6% -16.3% -11.7% -5.8% -24.1%
MHS BARU -9.5% 37.7% -37.3% -4.2% -3.3% -25.1%
MHS AKTIF -4.7% 0.4% -1.2% -8.9% -3.6% -13.9%
WISUDA 328.8% -36.8% -28.1% 7.0% 67.7% 108.5%
CUTI 121.4% 87.1% 75.9% 71.6% 89.0% 1,150.0%
NONAKTIF 33.4% -5.1% -41.2% -17.1% -7.5% -38.3%

📊 Statistik Deskriptif Lanjutan

ANIMO

377
Mean ± 64 (SD)
CV: 17.1% | Min: 319 | Max: 487
Q1: 351 | Median: 355 | Q3: 373
Skewness: 1.720 | Kurtosis: 3.443

DAYA TAMPUNG

243
Mean ± 33 (SD)
CV: 13.4% | Min: 190 | Max: 264
Q1: 232 | Median: 264 | Q3: 264
Skewness: -1.441 | Kurtosis: 1.280

HASIL

270
Mean ± 33 (SD)
CV: 12.1% | Min: 227 | Max: 307
Q1: 257 | Median: 261 | Q3: 299
Skewness: -0.118 | Kurtosis: -1.491

MHS BARU

228
Mean ± 49 (SD)
CV: 21.4% | Min: 182 | Max: 303
Q1: 190 | Median: 220 | Q3: 243
Skewness: 1.026 | Kurtosis: 0.625

MHS AKTIF

1,437
Mean ± 77 (SD)
CV: 5.4% | Min: 1,312 | Max: 1,524
Q1: 1,440 | Median: 1,452 | Q3: 1,458
Skewness: -1.172 | Kurtosis: 2.627

WISUDA

142
Mean ± 72 (SD)
CV: 50.6% | Min: 59 | Max: 253
Q1: 115 | Median: 123 | Q3: 160
Skewness: 0.872 | Kurtosis: 1.406

CUTI

76
Mean ± 65 (SD)
CV: 84.9% | Min: 14 | Max: 175
Q1: 31 | Median: 58 | Q3: 102
Skewness: 1.011 | Kurtosis: 0.313

NONAKTIF

897
Mean ± 284 (SD)
CV: 31.6% | Min: 558 | Max: 1,206
Q1: 673 | Median: 904 | Q3: 1,144
Skewness: -0.103 | Kurtosis: -2.478

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028