Analisis Jumlah Mahasiswa Program Studi Planologi

Dashboard Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
128.1%
Sangat Baik
Retention Rate Rata-rata
57.1%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
6.3%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
27.1%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-32.4%
Peningkatan output lulusan
Efisiensi Konversi Animo
25.3%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
65.4%
Tinggi
Volatilitas Animo
28.1%
Coefficient of Variation
Utilization Capacity
106.2%
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 134 48 119 97 384 0 478 34
2022 168 39 76 63 491 4 279 40
2023 88 94 84 73 515 7 253 27
2024 98 97 45 38 513 14 215 23
2025 100 97 60 49 488 25 217 23
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 88.8% 247.9% 35.9% 8.9% 124.5% 202.1% 25.4%
2022 45.2% 194.9% 57.3% 8.1% 57.6% 161.5% 23.8%
2023 95.5% 89.4% 61.2% 5.2% 50.5% 77.7% 30.7%
2024 45.9% 46.4% 66.6% 4.5% 44.6% 39.2% 23.5%
2025 60.0% 61.9% 64.7% 4.7% 49.6% 50.5% 23.0%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 25.4% -47.6% 11.4% 2.0% -2.2% -25.4%
DAYA TAMPUNG -18.8% 141.0% 3.2% 0.0% 31.4% 102.1%
HASIL -36.1% 10.5% -46.4% 33.3% -9.7% -49.6%
MHS BARU -35.1% 15.9% -47.9% 28.9% -9.5% -49.5%
MHS AKTIF 27.9% 4.9% -0.4% -4.9% 6.9% 27.1%
WISUDA 17.6% -32.5% -14.8% 0.0% -7.4% -32.4%
CUTI 0.0% 75.0% 100.0% 78.6% 63.4% 525.0%
NONAKTIF -41.6% -9.3% -15.0% 0.9% -16.3% -54.6%

📊 Statistik Deskriptif Lanjutan

ANIMO

118
Mean ± 33 (SD)
CV: 28.1% | Min: 88 | Max: 168
Q1: 98 | Median: 100 | Q3: 134
Skewness: 1.076 | Kurtosis: -0.141

DAYA TAMPUNG

75
Mean ± 29 (SD)
CV: 38.6% | Min: 39 | Max: 97
Q1: 48 | Median: 94 | Q3: 97
Skewness: -0.655 | Kurtosis: -3.004

HASIL

77
Mean ± 28 (SD)
CV: 36.4% | Min: 45 | Max: 119
Q1: 60 | Median: 76 | Q3: 84
Skewness: 0.736 | Kurtosis: 0.748

MHS BARU

64
Mean ± 23 (SD)
CV: 35.6% | Min: 38 | Max: 97
Q1: 49 | Median: 63 | Q3: 73
Skewness: 0.555 | Kurtosis: -0.080

MHS AKTIF

478
Mean ± 54 (SD)
CV: 11.3% | Min: 384 | Max: 515
Q1: 488 | Median: 491 | Q3: 513
Skewness: -1.952 | Kurtosis: 3.994

WISUDA

29
Mean ± 7 (SD)
CV: 25.3% | Min: 23 | Max: 40
Q1: 23 | Median: 27 | Q3: 34
Skewness: 0.760 | Kurtosis: -1.271

CUTI

10
Mean ± 10 (SD)
CV: 98.2% | Min: 0 | Max: 25
Q1: 4 | Median: 7 | Q3: 14
Skewness: 0.965 | Kurtosis: 0.357

NONAKTIF

288
Mean ± 109 (SD)
CV: 37.9% | Min: 215 | Max: 478
Q1: 217 | Median: 253 | Q3: 279
Skewness: 1.919 | Kurtosis: 3.819

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

🔮 Forecasting & Analisis Skenario 2026-2028