Analisis Jumlah Mahasiswa Program Studi Ilmu Perikanan

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
56.6%
Baik
Retention Rate Rata-rata
34.3%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
11.2%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-34.3%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
0.0%
Peningkatan output lulusan
Efisiensi Konversi Animo
45.1%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
142.9%
Tinggi
Volatilitas Animo
63.4%
Coefficient of Variation
Utilization Capacity
54.1%
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 85 71 82 82 137 0 59 0
2022 46 65 32 32 130 2 157 8
2023 31 54 24 18 103 0 213 13
2024 14 54 9 8 100 0 167 15
2025 34 54 31 31 90 4 154 20
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 96.5% 115.5% 48.2% 0.0% 43.1% 115.5% 0.0%
2022 69.6% 49.2% 37.3% 6.2% 122.3% 49.2% 17.4%
2023 77.4% 44.4% 27.3% 12.6% 206.8% 33.3% 41.9%
2024 64.3% 16.7% 33.6% 15.0% 167.0% 14.8% 107.1%
2025 91.2% 57.4% 25.3% 22.2% 175.6% 57.4% 58.8%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO -45.9% -32.6% -54.8% 142.9% 2.4% -60.0%
DAYA TAMPUNG -8.5% -16.9% 0.0% 0.0% -6.3% -23.9%
HASIL -61.0% -25.0% -62.5% 244.4% 24.0% -62.2%
MHS BARU -61.0% -43.8% -55.6% 287.5% 31.8% -62.2%
MHS AKTIF -5.1% -20.8% -2.9% -10.0% -9.7% -34.3%
WISUDA 0.0% 62.5% 15.4% 33.3% 27.8% 150.0%
CUTI 0.0% -100.0% 0.0% 0.0% -25.0% -100.0%
NONAKTIF 166.1% 35.7% -21.6% -7.8% 43.1% 161.0%

📊 Statistik Deskriptif Lanjutan

ANIMO

42
Mean ± 27 (SD)
CV: 63.4% | Min: 14 | Max: 85
Q1: 31 | Median: 34 | Q3: 46
Skewness: 1.232 | Kurtosis: 2.091

DAYA TAMPUNG

60
Mean ± 8 (SD)
CV: 13.3% | Min: 54 | Max: 71
Q1: 54 | Median: 54 | Q3: 65
Skewness: 0.920 | Kurtosis: -1.545

HASIL

36
Mean ± 28 (SD)
CV: 77.3% | Min: 9 | Max: 82
Q1: 24 | Median: 31 | Q3: 32
Skewness: 1.587 | Kurtosis: 3.235

MHS BARU

34
Mean ± 28 (SD)
CV: 83.3% | Min: 8 | Max: 82
Q1: 18 | Median: 31 | Q3: 32
Skewness: 1.565 | Kurtosis: 2.916

MHS AKTIF

112
Mean ± 20 (SD)
CV: 18.2% | Min: 90 | Max: 137
Q1: 100 | Median: 103 | Q3: 130
Skewness: 0.412 | Kurtosis: -2.491

WISUDA

11
Mean ± 8 (SD)
CV: 67.8% | Min: 0 | Max: 20
Q1: 8 | Median: 13 | Q3: 15
Skewness: -0.661 | Kurtosis: 0.281

CUTI

1
Mean ± 2 (SD)
CV: 149.1% | Min: 0 | Max: 4
Q1: 0 | Median: 0 | Q3: 2
Skewness: 1.258 | Kurtosis: 0.313

NONAKTIF

150
Mean ± 56 (SD)
CV: 37.4% | Min: 59 | Max: 213
Q1: 154 | Median: 157 | Q3: 167
Skewness: -1.174 | Kurtosis: 2.627

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

🔮 Forecasting & Analisis Skenario 2026-2028