Analisis Jumlah Mahasiswa Program Studi Antropologi Sosial

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
81.1%
Sangat Baik
Retention Rate Rata-rata
56.1%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
14.4%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-53.8%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-31.1%
Peningkatan output lulusan
Efisiensi Konversi Animo
63.8%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
61.4%
Tinggi
Volatilitas Animo
58.4%
Coefficient of Variation
Utilization Capacity
59.6%
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 88 62 65 45 520 7 300 45
2022 207 50 98 78 494 4 308 72
2023 64 108 59 44 413 9 376 74
2024 78 108 27 16 323 10 121 58
2025 72 108 27 15 240 18 105 31
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 73.9% 104.8% 57.9% 8.7% 59.0% 72.6% 51.1%
2022 47.3% 196.0% 52.3% 14.6% 63.2% 156.0% 34.8%
2023 92.2% 54.6% 45.1% 17.9% 93.2% 40.7% 115.6%
2024 34.6% 25.0% 63.2% 18.0% 40.6% 14.8% 74.4%
2025 37.5% 25.0% 62.3% 12.9% 51.2% 13.9% 43.1%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 135.2% -69.1% 21.9% -7.7% 20.1% -18.2%
DAYA TAMPUNG -19.4% 116.0% 0.0% 0.0% 24.2% 74.2%
HASIL 50.8% -39.8% -54.2% 0.0% -10.8% -58.5%
MHS BARU 73.3% -43.6% -63.6% -6.3% -10.0% -66.7%
MHS AKTIF -5.0% -16.4% -21.8% -25.7% -17.2% -53.8%
WISUDA 60.0% 2.8% -21.6% -46.6% -1.3% -31.1%
CUTI -42.9% 125.0% 11.1% 80.0% 43.3% 157.1%
NONAKTIF 2.7% 22.1% -67.8% -13.2% -14.1% -65.0%

📊 Statistik Deskriptif Lanjutan

ANIMO

102
Mean ± 59 (SD)
CV: 58.4% | Min: 64 | Max: 207
Q1: 72 | Median: 78 | Q3: 88
Skewness: 2.116 | Kurtosis: 4.569

DAYA TAMPUNG

87
Mean ± 29 (SD)
CV: 33.0% | Min: 50 | Max: 108
Q1: 62 | Median: 108 | Q3: 108
Skewness: -0.706 | Kurtosis: -2.765

HASIL

55
Mean ± 30 (SD)
CV: 53.8% | Min: 27 | Max: 98
Q1: 27 | Median: 59 | Q3: 65
Skewness: 0.548 | Kurtosis: -0.581

MHS BARU

40
Mean ± 26 (SD)
CV: 65.4% | Min: 15 | Max: 78
Q1: 16 | Median: 44 | Q3: 45
Skewness: 0.691 | Kurtosis: -0.089

MHS AKTIF

398
Mean ± 117 (SD)
CV: 29.4% | Min: 240 | Max: 520
Q1: 323 | Median: 413 | Q3: 494
Skewness: -0.431 | Kurtosis: -1.624

WISUDA

56
Mean ± 18 (SD)
CV: 32.6% | Min: 31 | Max: 74
Q1: 45 | Median: 58 | Q3: 72
Skewness: -0.482 | Kurtosis: -1.490

CUTI

10
Mean ± 5 (SD)
CV: 54.4% | Min: 4 | Max: 18
Q1: 7 | Median: 9 | Q3: 10
Skewness: 1.167 | Kurtosis: 2.077

NONAKTIF

242
Mean ± 122 (SD)
CV: 50.2% | Min: 105 | Max: 376
Q1: 121 | Median: 300 | Q3: 308
Skewness: -0.338 | Kurtosis: -2.733

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028