Analisis Jumlah Mahasiswa Program Studi Teknik Mesin

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
100.3%
Sangat Baik
Retention Rate Rata-rata
45.2%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
11.2%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
4.7%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-25.6%
Peningkatan output lulusan
Efisiensi Konversi Animo
43.1%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
93.6%
Tinggi
Volatilitas Animo
41.4%
Coefficient of Variation
Utilization Capacity
83.9%
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 70 112 148 109 489 6 475 82
2022 291 100 143 136 613 11 540 58
2023 249 174 174 134 606 21 682 61
2024 197 174 94 77 580 43 386 45
2025 197 134 97 87 512 64 396 61
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 211.4% 132.1% 40.6% 16.8% 98.4% 97.3% 117.1%
2022 49.1% 143.0% 44.4% 9.5% 89.9% 136.0% 19.9%
2023 69.9% 100.0% 38.8% 10.1% 116.0% 77.0% 24.5%
2024 47.7% 54.0% 53.9% 7.8% 74.0% 44.3% 22.8%
2025 49.2% 72.4% 48.2% 11.9% 89.8% 64.9% 31.0%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 315.7% -14.4% -20.9% 0.0% 70.1% 181.4%
DAYA TAMPUNG -10.7% 74.0% 0.0% -23.0% 10.1% 19.6%
HASIL -3.4% 21.7% -46.0% 3.2% -6.1% -34.5%
MHS BARU 24.8% -1.5% -42.5% 13.0% -1.6% -20.2%
MHS AKTIF 25.4% -1.1% -4.3% -11.7% 2.1% 4.7%
WISUDA -29.3% 5.2% -26.2% 35.6% -3.7% -25.6%
CUTI 83.3% 90.9% 104.8% 48.8% 82.0% 966.7%
NONAKTIF 13.7% 26.3% -43.4% 2.6% -0.2% -16.6%

📊 Statistik Deskriptif Lanjutan

ANIMO

201
Mean ± 83 (SD)
CV: 41.4% | Min: 70 | Max: 291
Q1: 197 | Median: 197 | Q3: 249
Skewness: -1.012 | Kurtosis: 1.567

DAYA TAMPUNG

139
Mean ± 34 (SD)
CV: 24.8% | Min: 100 | Max: 174
Q1: 112 | Median: 134 | Q3: 174
Skewness: 0.097 | Kurtosis: -2.756

HASIL

131
Mean ± 35 (SD)
CV: 26.4% | Min: 94 | Max: 174
Q1: 97 | Median: 143 | Q3: 148
Skewness: -0.067 | Kurtosis: -2.168

MHS BARU

109
Mean ± 27 (SD)
CV: 24.6% | Min: 77 | Max: 136
Q1: 87 | Median: 109 | Q3: 134
Skewness: -0.102 | Kurtosis: -2.638

MHS AKTIF

560
Mean ± 56 (SD)
CV: 10.1% | Min: 489 | Max: 613
Q1: 512 | Median: 580 | Q3: 606
Skewness: -0.501 | Kurtosis: -2.612

WISUDA

61
Mean ± 13 (SD)
CV: 21.6% | Min: 45 | Max: 82
Q1: 58 | Median: 61 | Q3: 61
Skewness: 0.764 | Kurtosis: 2.157

CUTI

29
Mean ± 24 (SD)
CV: 83.4% | Min: 6 | Max: 64
Q1: 11 | Median: 21 | Q3: 43
Skewness: 0.799 | Kurtosis: -0.946

NONAKTIF

496
Mean ± 122 (SD)
CV: 24.5% | Min: 386 | Max: 682
Q1: 396 | Median: 475 | Q3: 540
Skewness: 0.979 | Kurtosis: 0.314

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028