Analisis Jumlah Mahasiswa Program Studi Sistem Informasi

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
124.7%
Sangat Baik
Retention Rate Rata-rata
61.0%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
6.1%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
28.7%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
292.3%
Peningkatan output lulusan
Efisiensi Konversi Animo
18.9%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
47.2%
Tinggi
Volatilitas Animo
61.5%
Coefficient of Variation
Utilization Capacity
119.2%
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 125 161 120 117 401 1 156 13
2022 398 70 160 159 562 2 241 24
2023 94 84 59 54 548 6 273 22
2024 243 104 104 85 514 18 224 47
2025 144 64 96 96 516 33 255 51
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 96.0% 74.5% 62.7% 3.2% 39.2% 72.7% 10.4%
2022 40.2% 228.6% 60.3% 4.3% 43.2% 227.1% 6.0%
2023 62.8% 70.2% 62.6% 4.0% 50.9% 64.3% 23.4%
2024 42.8% 100.0% 61.3% 9.1% 47.1% 81.7% 19.3%
2025 66.7% 150.0% 57.9% 9.9% 55.8% 150.0% 35.4%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 218.4% -76.4% 158.5% -40.7% 64.9% 15.2%
DAYA TAMPUNG -56.5% 20.0% 23.8% -38.5% -12.8% -60.2%
HASIL 33.3% -63.1% 76.3% -7.7% 9.7% -20.0%
MHS BARU 35.9% -66.0% 57.4% 12.9% 10.1% -17.9%
MHS AKTIF 40.1% -2.5% -6.2% 0.4% 8.0% 28.7%
WISUDA 84.6% -8.3% 113.6% 8.5% 49.6% 292.3%
CUTI 100.0% 200.0% 200.0% 83.3% 145.8% 3,200.0%
NONAKTIF 54.5% 13.3% -17.9% 13.8% 15.9% 63.5%

📊 Statistik Deskriptif Lanjutan

ANIMO

201
Mean ± 124 (SD)
CV: 61.5% | Min: 94 | Max: 398
Q1: 125 | Median: 144 | Q3: 243
Skewness: 1.305 | Kurtosis: 1.064

DAYA TAMPUNG

97
Mean ± 39 (SD)
CV: 40.5% | Min: 64 | Max: 161
Q1: 70 | Median: 84 | Q3: 104
Skewness: 1.472 | Kurtosis: 2.034

HASIL

108
Mean ± 37 (SD)
CV: 34.1% | Min: 59 | Max: 160
Q1: 96 | Median: 104 | Q3: 120
Skewness: 0.219 | Kurtosis: 0.982

MHS BARU

102
Mean ± 39 (SD)
CV: 38.2% | Min: 54 | Max: 159
Q1: 85 | Median: 96 | Q3: 117
Skewness: 0.484 | Kurtosis: 0.561

MHS AKTIF

508
Mean ± 63 (SD)
CV: 12.5% | Min: 401 | Max: 562
Q1: 514 | Median: 516 | Q3: 548
Skewness: -1.658 | Kurtosis: 3.078

WISUDA

31
Mean ± 17 (SD)
CV: 53.0% | Min: 13 | Max: 51
Q1: 22 | Median: 24 | Q3: 47
Skewness: 0.348 | Kurtosis: -2.599

CUTI

12
Mean ± 14 (SD)
CV: 112.9% | Min: 1 | Max: 33
Q1: 2 | Median: 6 | Q3: 18
Skewness: 1.162 | Kurtosis: 0.231

NONAKTIF

230
Mean ± 45 (SD)
CV: 19.6% | Min: 156 | Max: 273
Q1: 224 | Median: 241 | Q3: 255
Skewness: -1.389 | Kurtosis: 2.215

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028