Analisis Jumlah Mahasiswa Program Studi Ilmu Kelautan

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
27.1%
Perlu Perbaikan
Retention Rate Rata-rata
41.2%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
13.9%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-4.9%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-33.3%
Peningkatan output lulusan
Efisiensi Konversi Animo
39.1%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
110.2%
Tinggi
Volatilitas Animo
13.2%
Coefficient of Variation
Utilization Capacity
33.1%
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 29 71 20 39 82 18 75 18
2022 38 65 16 25 124 5 61 9
2023 29 94 20 15 91 9 111 13
2024 36 94 23 16 85 13 98 9
2025 30 54 20 21 78 16 79 12
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 69.0% 28.2% 31.6% 22.0% 113.4% 54.9% 62.1%
2022 42.1% 24.6% 58.6% 7.3% 53.2% 38.5% 23.7%
2023 69.0% 21.3% 38.0% 14.3% 131.9% 16.0% 44.8%
2024 63.9% 24.5% 39.2% 10.6% 130.6% 17.0% 25.0%
2025 66.7% 37.0% 38.5% 15.4% 121.8% 38.9% 40.0%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 31.0% -23.7% 24.1% -16.7% 3.7% 3.4%
DAYA TAMPUNG -8.5% 44.6% 0.0% -42.6% -1.6% -23.9%
HASIL -20.0% 25.0% 15.0% -13.0% 1.7% 0.0%
MHS BARU -35.9% -40.0% 6.7% 31.3% -9.5% -46.2%
MHS AKTIF 51.2% -26.6% -6.6% -8.2% 2.4% -4.9%
WISUDA -50.0% 44.4% -30.8% 33.3% -0.7% -33.3%
CUTI -72.2% 80.0% 44.4% 23.1% 18.8% -11.1%
NONAKTIF -18.7% 82.0% -11.7% -19.4% 8.1% 5.3%

📊 Statistik Deskriptif Lanjutan

ANIMO

32
Mean ± 4 (SD)
CV: 13.2% | Min: 29 | Max: 38
Q1: 29 | Median: 30 | Q3: 36
Skewness: 0.691 | Kurtosis: -2.581

DAYA TAMPUNG

76
Mean ± 18 (SD)
CV: 23.6% | Min: 54 | Max: 94
Q1: 65 | Median: 71 | Q3: 94
Skewness: 0.080 | Kurtosis: -2.360

HASIL

20
Mean ± 2 (SD)
CV: 12.6% | Min: 16 | Max: 23
Q1: 20 | Median: 20 | Q3: 20
Skewness: -0.596 | Kurtosis: 2.190

MHS BARU

23
Mean ± 10 (SD)
CV: 41.8% | Min: 15 | Max: 39
Q1: 16 | Median: 21 | Q3: 25
Skewness: 1.374 | Kurtosis: 1.799

MHS AKTIF

92
Mean ± 19 (SD)
CV: 20.1% | Min: 78 | Max: 124
Q1: 82 | Median: 85 | Q3: 91
Skewness: 1.885 | Kurtosis: 3.715

WISUDA

12
Mean ± 4 (SD)
CV: 30.3% | Min: 9 | Max: 18
Q1: 9 | Median: 12 | Q3: 13
Skewness: 1.069 | Kurtosis: 0.936

CUTI

12
Mean ± 5 (SD)
CV: 43.1% | Min: 5 | Max: 18
Q1: 9 | Median: 13 | Q3: 16
Skewness: -0.444 | Kurtosis: -1.267

NONAKTIF

85
Mean ± 20 (SD)
CV: 23.3% | Min: 61 | Max: 111
Q1: 75 | Median: 79 | Q3: 98
Skewness: 0.308 | Kurtosis: -1.128

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028