Analisis Jumlah Mahasiswa Program Studi Teknik Elektro

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
139.0%
Sangat Baik
Retention Rate Rata-rata
54.2%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
6.2%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
3.3%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
200.0%
Peningkatan output lulusan
Efisiensi Konversi Animo
21.1%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
75.4%
Tinggi
Volatilitas Animo
10.8%
Coefficient of Variation
Utilization Capacity
112.8%
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 243 112 176 147 860 20 754 26
2022 316 100 176 140 931 40 866 67
2023 257 134 219 182 978 60 801 59
2024 288 134 138 116 1,000 70 422 59
2025 257 134 128 94 888 111 354 78
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 72.4% 157.1% 47.8% 3.0% 90.0% 131.3% 10.7%
2022 55.7% 176.0% 45.9% 7.2% 97.3% 140.0% 21.2%
2023 85.2% 163.4% 48.1% 6.0% 88.0% 135.8% 23.0%
2024 47.9% 103.0% 64.8% 5.9% 49.2% 86.6% 20.5%
2025 49.8% 95.5% 64.8% 8.8% 52.4% 70.1% 30.4%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 30.0% -18.7% 12.1% -10.8% 3.2% 5.8%
DAYA TAMPUNG -10.7% 34.0% 0.0% 0.0% 5.8% 19.6%
HASIL 0.0% 24.4% -37.0% -7.2% -5.0% -27.3%
MHS BARU -4.8% 30.0% -36.3% -19.0% -7.5% -36.1%
MHS AKTIF 8.3% 5.0% 2.2% -11.2% 1.1% 3.3%
WISUDA 157.7% -11.9% 0.0% 32.2% 44.5% 200.0%
CUTI 100.0% 50.0% 16.7% 58.6% 56.3% 455.0%
NONAKTIF 14.9% -7.5% -47.3% -16.1% -14.0% -53.1%

📊 Statistik Deskriptif Lanjutan

ANIMO

272
Mean ± 30 (SD)
CV: 10.8% | Min: 243 | Max: 316
Q1: 257 | Median: 257 | Q3: 288
Skewness: 0.909 | Kurtosis: -0.454

DAYA TAMPUNG

123
Mean ± 16 (SD)
CV: 13.0% | Min: 100 | Max: 134
Q1: 112 | Median: 134 | Q3: 134
Skewness: -0.920 | Kurtosis: -1.545

HASIL

167
Mean ± 36 (SD)
CV: 21.6% | Min: 128 | Max: 219
Q1: 138 | Median: 176 | Q3: 176
Skewness: 0.459 | Kurtosis: -0.492

MHS BARU

136
Mean ± 33 (SD)
CV: 24.5% | Min: 94 | Max: 182
Q1: 116 | Median: 140 | Q3: 147
Skewness: 0.219 | Kurtosis: -0.025

MHS AKTIF

931
Mean ± 59 (SD)
CV: 6.3% | Min: 860 | Max: 1,000
Q1: 888 | Median: 931 | Q3: 978
Skewness: -0.044 | Kurtosis: -2.128

WISUDA

58
Mean ± 19 (SD)
CV: 33.6% | Min: 26 | Max: 78
Q1: 59 | Median: 59 | Q3: 67
Skewness: -1.318 | Kurtosis: 2.538

CUTI

60
Mean ± 34 (SD)
CV: 56.9% | Min: 20 | Max: 111
Q1: 40 | Median: 60 | Q3: 70
Skewness: 0.608 | Kurtosis: 0.550

NONAKTIF

639
Mean ± 234 (SD)
CV: 36.6% | Min: 354 | Max: 866
Q1: 422 | Median: 754 | Q3: 801
Skewness: -0.525 | Kurtosis: -2.861

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028