Analisis Jumlah Mahasiswa Program Studi Akuntansi

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
160.9%
Sangat Baik
Retention Rate Rata-rata
62.4%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
7.5%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
10.9%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
31.1%
Peningkatan output lulusan
Efisiensi Konversi Animo
32.3%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
48.2%
Tinggi
Volatilitas Animo
46.5%
Coefficient of Variation
Utilization Capacity
144.1%
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 628 241 390 326 1,858 19 825 148
2022 962 190 506 439 2,208 31 1,186 149
2023 322 261 243 227 2,271 70 1,341 130
2024 764 203 364 334 2,215 109 731 171
2025 325 241 250 247 2,061 174 658 194
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 62.1% 161.8% 61.2% 8.0% 45.4% 135.3% 23.6%
2022 52.6% 266.3% 57.0% 6.7% 55.1% 231.1% 15.5%
2023 75.5% 93.1% 58.2% 5.7% 62.1% 87.0% 40.4%
2024 47.6% 179.3% 67.6% 7.7% 37.9% 164.5% 22.4%
2025 76.9% 103.7% 68.0% 9.4% 40.4% 102.5% 59.7%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 53.2% -66.5% 137.3% -57.5% 16.6% -48.2%
DAYA TAMPUNG -21.2% 37.4% -22.2% 18.7% 3.2% 0.0%
HASIL 29.7% -52.0% 49.8% -31.3% -0.9% -35.9%
MHS BARU 34.7% -48.3% 47.1% -26.0% 1.9% -24.2%
MHS AKTIF 18.8% 2.9% -2.5% -7.0% 3.1% 10.9%
WISUDA 0.7% -12.8% 31.5% 13.5% 8.2% 31.1%
CUTI 63.2% 125.8% 55.7% 59.6% 76.1% 815.8%
NONAKTIF 43.8% 13.1% -45.5% -10.0% 0.3% -20.2%

📊 Statistik Deskriptif Lanjutan

ANIMO

600
Mean ± 279 (SD)
CV: 46.5% | Min: 322 | Max: 962
Q1: 325 | Median: 628 | Q3: 764
Skewness: 0.180 | Kurtosis: -1.908

DAYA TAMPUNG

227
Mean ± 30 (SD)
CV: 13.0% | Min: 190 | Max: 261
Q1: 203 | Median: 241 | Q3: 241
Skewness: -0.352 | Kurtosis: -2.040

HASIL

351
Mean ± 109 (SD)
CV: 31.1% | Min: 243 | Max: 506
Q1: 250 | Median: 364 | Q3: 390
Skewness: 0.499 | Kurtosis: -0.737

MHS BARU

315
Mean ± 84 (SD)
CV: 26.7% | Min: 227 | Max: 439
Q1: 247 | Median: 326 | Q3: 334
Skewness: 0.670 | Kurtosis: 0.019

MHS AKTIF

2,123
Mean ± 167 (SD)
CV: 7.9% | Min: 1,858 | Max: 2,271
Q1: 2,061 | Median: 2,208 | Q3: 2,215
Skewness: -1.258 | Kurtosis: 0.866

WISUDA

158
Mean ± 25 (SD)
CV: 15.6% | Min: 130 | Max: 194
Q1: 148 | Median: 149 | Q3: 171
Skewness: 0.620 | Kurtosis: -0.200

CUTI

81
Mean ± 63 (SD)
CV: 78.2% | Min: 19 | Max: 174
Q1: 31 | Median: 70 | Q3: 109
Skewness: 0.799 | Kurtosis: -0.307

NONAKTIF

948
Mean ± 299 (SD)
CV: 31.5% | Min: 658 | Max: 1,341
Q1: 731 | Median: 825 | Q3: 1,186
Skewness: 0.585 | Kurtosis: -2.277

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028