Analisis Jumlah Mahasiswa Program Studi Diploma Teknik Eletronika

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
44.1%
Perlu Perbaikan
Retention Rate Rata-rata
40.1%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
19.5%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-45.3%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-71.4%
Peningkatan output lulusan
Efisiensi Konversi Animo
86.8%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
163.8%
Tinggi
Volatilitas Animo
48.3%
Coefficient of Variation
Utilization Capacity
23.8%
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 12 40 8 5 95 0 248 35
2022 50 40 39 20 274 3 274 22
2023 22 46 11 11 55 1 187 10
2024 38 56 12 7 46 2 28 7
2025 29 40 23 8 52 6 20 10
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 66.7% 20.0% 24.1% 36.8% 261.1% 12.5% 291.7%
2022 78.0% 97.5% 46.2% 8.0% 101.1% 50.0% 44.0%
2023 50.0% 23.9% 18.3% 18.2% 341.8% 23.9% 45.5%
2024 31.6% 21.4% 52.7% 15.2% 65.2% 12.5% 18.4%
2025 79.3% 57.5% 59.5% 19.2% 50.0% 20.0% 34.5%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 316.7% -56.0% 72.7% -23.7% 77.4% 141.7%
DAYA TAMPUNG 0.0% 15.0% 21.7% -28.6% 2.0% 0.0%
HASIL 387.5% -71.8% 9.1% 91.7% 104.1% 187.5%
MHS BARU 300.0% -45.0% -36.4% 14.3% 58.2% 60.0%
MHS AKTIF 188.4% -79.9% -16.4% 13.0% 26.3% -45.3%
WISUDA -37.1% -54.5% -30.0% 42.9% -19.7% -71.4%
CUTI 0.0% -66.7% 100.0% 200.0% 58.3% 100.0%
NONAKTIF 10.5% -31.8% -85.0% -28.6% -33.7% -91.9%

📊 Statistik Deskriptif Lanjutan

ANIMO

30
Mean ± 15 (SD)
CV: 48.3% | Min: 12 | Max: 50
Q1: 22 | Median: 29 | Q3: 38
Skewness: 0.222 | Kurtosis: -0.530

DAYA TAMPUNG

44
Mean ± 7 (SD)
CV: 15.7% | Min: 40 | Max: 56
Q1: 40 | Median: 40 | Q3: 46
Skewness: 1.600 | Kurtosis: 2.098

HASIL

19
Mean ± 13 (SD)
CV: 68.5% | Min: 8 | Max: 39
Q1: 11 | Median: 12 | Q3: 23
Skewness: 1.342 | Kurtosis: 1.084

MHS BARU

10
Mean ± 6 (SD)
CV: 57.8% | Min: 5 | Max: 20
Q1: 7 | Median: 8 | Q3: 11
Skewness: 1.544 | Kurtosis: 2.468

MHS AKTIF

104
Mean ± 97 (SD)
CV: 92.7% | Min: 46 | Max: 274
Q1: 52 | Median: 55 | Q3: 95
Skewness: 2.030 | Kurtosis: 4.158

WISUDA

17
Mean ± 12 (SD)
CV: 69.6% | Min: 7 | Max: 35
Q1: 10 | Median: 10 | Q3: 22
Skewness: 1.199 | Kurtosis: 0.291

CUTI

2
Mean ± 2 (SD)
CV: 95.9% | Min: 0 | Max: 6
Q1: 1 | Median: 2 | Q3: 3
Skewness: 1.033 | Kurtosis: 1.129

NONAKTIF

151
Mean ± 121 (SD)
CV: 79.6% | Min: 20 | Max: 274
Q1: 28 | Median: 187 | Q3: 248
Skewness: -0.323 | Kurtosis: -3.000

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

🔮 Forecasting & Analisis Skenario 2026-2028