Analisis Jumlah Mahasiswa Program Studi Ilmu Pemerintahan

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
350.7%
Sangat Baik
Retention Rate Rata-rata
53.3%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
11.2%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-2.7%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-21.9%
Peningkatan output lulusan
Efisiensi Konversi Animo
39.7%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
66.1%
Tinggi
Volatilitas Animo
43.7%
Coefficient of Variation
Utilization Capacity
269.4%
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 399 62 261 178 1,215 3 929 114
2022 659 50 338 274 1,311 6 783 176
2023 229 108 292 223 1,230 24 1,064 187
2024 480 108 230 171 1,199 51 610 127
2025 252 146 253 215 1,182 88 506 89
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 65.4% 421.0% 49.9% 9.4% 76.7% 287.1% 28.6%
2022 51.3% 676.0% 52.0% 13.4% 60.2% 548.0% 26.7%
2023 127.5% 270.4% 44.6% 15.2% 88.5% 206.5% 81.7%
2024 47.9% 213.0% 58.2% 10.6% 55.1% 158.3% 26.5%
2025 100.4% 173.3% 61.9% 7.5% 50.3% 147.3% 35.3%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 65.2% -65.3% 109.6% -47.5% 15.5% -36.8%
DAYA TAMPUNG -19.4% 116.0% 0.0% 35.2% 33.0% 135.5%
HASIL 29.5% -13.6% -21.2% 10.0% 1.2% -3.1%
MHS BARU 53.9% -18.6% -23.3% 25.7% 9.4% 20.8%
MHS AKTIF 7.9% -6.2% -2.5% -1.4% -0.6% -2.7%
WISUDA 54.4% 6.3% -32.1% -29.9% -0.3% -21.9%
CUTI 100.0% 300.0% 112.5% 72.5% 146.3% 2,833.3%
NONAKTIF -15.7% 35.9% -42.7% -17.0% -9.9% -45.5%

📊 Statistik Deskriptif Lanjutan

ANIMO

404
Mean ± 176 (SD)
CV: 43.7% | Min: 229 | Max: 659
Q1: 252 | Median: 399 | Q3: 480
Skewness: 0.624 | Kurtosis: -0.600

DAYA TAMPUNG

95
Mean ± 39 (SD)
CV: 41.0% | Min: 50 | Max: 146
Q1: 62 | Median: 108 | Q3: 108
Skewness: 0.096 | Kurtosis: -1.385

HASIL

275
Mean ± 42 (SD)
CV: 15.2% | Min: 230 | Max: 338
Q1: 253 | Median: 261 | Q3: 292
Skewness: 0.887 | Kurtosis: 0.388

MHS BARU

212
Mean ± 41 (SD)
CV: 19.4% | Min: 171 | Max: 274
Q1: 178 | Median: 215 | Q3: 223
Skewness: 0.755 | Kurtosis: 0.127

MHS AKTIF

1,227
Mean ± 50 (SD)
CV: 4.1% | Min: 1,182 | Max: 1,311
Q1: 1,199 | Median: 1,215 | Q3: 1,230
Skewness: 1.549 | Kurtosis: 2.717

WISUDA

139
Mean ± 42 (SD)
CV: 30.1% | Min: 89 | Max: 187
Q1: 114 | Median: 127 | Q3: 176
Skewness: 0.157 | Kurtosis: -2.238

CUTI

34
Mean ± 36 (SD)
CV: 103.3% | Min: 3 | Max: 88
Q1: 6 | Median: 24 | Q3: 51
Skewness: 0.962 | Kurtosis: -0.183

NONAKTIF

778
Mean ± 227 (SD)
CV: 29.2% | Min: 506 | Max: 1,064
Q1: 610 | Median: 783 | Q3: 929
Skewness: 0.061 | Kurtosis: -1.699

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028