Analisis Jumlah Mahasiswa Fakultas Ekonomi dan Bisnis

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
154.7%
Sangat Baik
Retention Rate Rata-rata
58.2%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
12.8%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
41.5%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
108.8%
Peningkatan output lulusan
Efisiensi Konversi Animo
49.3%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
55.0%
Tinggi
Volatilitas Animo
28.0%
Coefficient of Variation
Utilization Capacity
135.8%
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 1,824 895 1,302 1,092 4,482 40 3,203 604
2022 2,686 660 1,544 1,368 5,362 84 3,954 839
2023 1,392 979 1,217 1,119 6,163 170 4,090 755
2024 2,172 921 1,133 1,035 36,356 278 2,864 909
2025 1,469 859 1,261 1,055 6,344 446 2,688 1,261
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 71.4% 145.5% 47.1% 13.5% 72.4% 122.0% 33.1%
2022 57.5% 233.9% 45.5% 15.6% 75.3% 207.3% 31.2%
2023 87.4% 124.3% 51.0% 12.3% 69.1% 114.3% 54.2%
2024 52.2% 123.0% 90.3% 2.5% 8.6% 112.4% 41.9%
2025 85.8% 146.8% 57.3% 19.9% 49.4% 122.8% 85.8%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 47.3% -48.2% 56.0% -32.4% 5.7% -19.5%
DAYA TAMPUNG -26.3% 48.3% -5.9% -6.7% 2.4% -4.0%
HASIL 18.6% -21.2% -6.9% 11.3% 0.5% -3.1%
MHS BARU 25.3% -18.2% -7.5% 1.9% 0.4% -3.4%
MHS AKTIF 19.6% 14.9% 489.9% -82.6% 110.5% 41.5%
WISUDA 38.9% -10.0% 20.4% 38.7% 22.0% 108.8%
CUTI 110.0% 102.4% 63.5% 60.4% 84.1% 1,015.0%
NONAKTIF 23.4% 3.4% -30.0% -6.1% -2.3% -16.1%

📊 Statistik Deskriptif Lanjutan

ANIMO

1,909
Mean ± 534 (SD)
CV: 28.0% | Min: 1,392 | Max: 2,686
Q1: 1,469 | Median: 1,824 | Q3: 2,172
Skewness: 0.724 | Kurtosis: -0.647

DAYA TAMPUNG

863
Mean ± 122 (SD)
CV: 14.1% | Min: 660 | Max: 979
Q1: 859 | Median: 895 | Q3: 921
Skewness: -1.519 | Kurtosis: 2.813

HASIL

1,291
Mean ± 154 (SD)
CV: 12.0% | Min: 1,133 | Max: 1,544
Q1: 1,217 | Median: 1,261 | Q3: 1,302
Skewness: 1.323 | Kurtosis: 2.384

MHS BARU

1,134
Mean ± 135 (SD)
CV: 11.9% | Min: 1,035 | Max: 1,368
Q1: 1,055 | Median: 1,092 | Q3: 1,119
Skewness: 1.921 | Kurtosis: 3.874

MHS AKTIF

11,741
Mean ± 13,780 (SD)
CV: 117.4% | Min: 4,482 | Max: 36,356
Q1: 5,362 | Median: 6,163 | Q3: 6,344
Skewness: 2.220 | Kurtosis: 4.943

WISUDA

874
Mean ± 245 (SD)
CV: 28.0% | Min: 604 | Max: 1,261
Q1: 755 | Median: 839 | Q3: 909
Skewness: 1.050 | Kurtosis: 1.783

CUTI

204
Mean ± 163 (SD)
CV: 80.1% | Min: 40 | Max: 446
Q1: 84 | Median: 170 | Q3: 278
Skewness: 0.818 | Kurtosis: -0.231

NONAKTIF

3,360
Mean ± 634 (SD)
CV: 18.9% | Min: 2,688 | Max: 4,090
Q1: 2,864 | Median: 3,203 | Q3: 3,954
Skewness: 0.278 | Kurtosis: -2.789

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028