Analisis Jumlah Mahasiswa Program Studi Ilmu Hukum

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
159.6%
Sangat Baik
Retention Rate Rata-rata
61.2%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
9.9%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
10.6%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
26.2%
Peningkatan output lulusan
Efisiensi Konversi Animo
35.9%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
48.4%
Tinggi
Volatilitas Animo
18.5%
Coefficient of Variation
Utilization Capacity
139.4%
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 671 205 482 473 2,716 68 1,475 244
2022 1,036 305 700 608 3,114 106 1,194 352
2023 964 740 848 726 3,231 162 1,415 336
2024 713 640 569 457 3,289 220 1,164 282
2025 886 460 597 447 3,003 337 1,241 308
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 71.8% 235.1% 56.6% 9.0% 56.8% 230.7% 36.4%
2022 67.6% 229.5% 61.8% 11.3% 41.7% 199.3% 34.0%
2023 88.0% 114.6% 58.9% 10.4% 48.8% 98.1% 34.9%
2024 79.8% 88.9% 66.2% 8.6% 42.1% 71.4% 39.6%
2025 67.4% 129.8% 62.3% 10.3% 52.5% 97.2% 34.8%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 54.4% -6.9% -26.0% 24.3% 11.4% 32.0%
DAYA TAMPUNG 48.8% 142.6% -13.5% -28.1% 37.4% 124.4%
HASIL 45.2% 21.1% -32.9% 4.9% 9.6% 23.9%
MHS BARU 28.5% 19.4% -37.1% -2.2% 2.2% -5.5%
MHS AKTIF 14.7% 3.8% 1.8% -8.7% 2.9% 10.6%
WISUDA 44.3% -4.5% -16.1% 9.2% 8.2% 26.2%
CUTI 55.9% 52.8% 35.8% 53.2% 49.4% 395.6%
NONAKTIF -19.1% 18.5% -17.7% 6.6% -2.9% -15.9%

📊 Statistik Deskriptif Lanjutan

ANIMO

854
Mean ± 158 (SD)
CV: 18.5% | Min: 671 | Max: 1,036
Q1: 713 | Median: 886 | Q3: 964
Skewness: -0.163 | Kurtosis: -2.435

DAYA TAMPUNG

470
Mean ± 223 (SD)
CV: 47.5% | Min: 205 | Max: 740
Q1: 305 | Median: 460 | Q3: 640
Skewness: 0.056 | Kurtosis: -2.050

HASIL

639
Mean ± 140 (SD)
CV: 21.9% | Min: 482 | Max: 848
Q1: 569 | Median: 597 | Q3: 700
Skewness: 0.758 | Kurtosis: 0.239

MHS BARU

542
Mean ± 122 (SD)
CV: 22.4% | Min: 447 | Max: 726
Q1: 457 | Median: 473 | Q3: 608
Skewness: 1.083 | Kurtosis: -0.486

MHS AKTIF

3,071
Mean ± 227 (SD)
CV: 7.4% | Min: 2,716 | Max: 3,289
Q1: 3,003 | Median: 3,114 | Q3: 3,231
Skewness: -1.082 | Kurtosis: 0.880

WISUDA

304
Mean ± 43 (SD)
CV: 14.2% | Min: 244 | Max: 352
Q1: 282 | Median: 308 | Q3: 336
Skewness: -0.480 | Kurtosis: -0.861

CUTI

179
Mean ± 106 (SD)
CV: 59.1% | Min: 68 | Max: 337
Q1: 106 | Median: 162 | Q3: 220
Skewness: 0.816 | Kurtosis: 0.150

NONAKTIF

1,298
Mean ± 139 (SD)
CV: 10.7% | Min: 1,164 | Max: 1,475
Q1: 1,194 | Median: 1,241 | Q3: 1,415
Skewness: 0.542 | Kurtosis: -2.535

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028