Analisis Jumlah Mahasiswa Program Studi Manajemen Administrasi Perkantoran

Analisis Statistik Multi-Dimensi dengan Pendekatan Predictive Analytics

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

📊 Executive Dashboard

🎯 Kinerja Inti

Rata-rata Tingkat Penerimaan
205.3%
Sangat Baik
Retention Rate Rata-rata
66.0%
Kemampuan mempertahankan mahasiswa
Graduation Rate Rata-rata
10.9%
Efektivitas proses pembelajaran

📈 Growth Metrics

Pertumbuhan Mahasiswa Aktif
-12.8%
2021-2025 (5 tahun)
Pertumbuhan Wisuda
-13.5%
Peningkatan output lulusan
Efisiensi Konversi Animo
32.2%
Animo → Wisuda

⚠️ Risk Indicators

Attrition Rate Rata-rata
50.0%
Tinggi
Volatilitas Animo
37.7%
Coefficient of Variation
Utilization Capacity
168.7%
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 311 44 114 81 955 88 382 104
2022 546 54 195 157 949 138 421 109
2023 230 108 185 151 924 145 374 102
2024 356 108 133 107 912 160 176 93
2025 244 108 121 140 833 185 221 90
Tahun Konversi Animo-Hasil Tingkat Seleksi Retention Rate Graduation Rate Attrition Rate Utilization Capacity Efisiensi Animo-Wisuda
2021 36.7% 259.1% 64.3% 10.9% 49.2% 184.1% 33.4%
2022 35.7% 361.1% 59.9% 11.5% 58.9% 290.7% 20.0%
2023 80.4% 171.3% 61.9% 11.0% 56.2% 139.8% 44.3%
2024 37.4% 123.1% 75.0% 10.2% 36.8% 99.1% 26.1%
2025 49.6% 112.0% 69.0% 10.8% 48.7% 129.6% 36.9%
Variabel 2021-2022 2022-2023 2023-2024 2024-2025 Rata-rata Growth Total Growth 5 Tahun
ANIMO 75.6% -57.9% 54.8% -31.5% 10.3% -21.5%
DAYA TAMPUNG 22.7% 100.0% 0.0% 0.0% 30.7% 145.5%
HASIL 71.1% -5.1% -28.1% -9.0% 7.2% 6.1%
MHS BARU 93.8% -3.8% -29.1% 30.8% 22.9% 72.8%
MHS AKTIF -0.6% -2.6% -1.3% -8.7% -3.3% -12.8%
WISUDA 4.8% -6.4% -8.8% -3.2% -3.4% -13.5%
CUTI 56.8% 5.1% 10.3% 15.6% 22.0% 110.2%
NONAKTIF 10.2% -11.2% -52.9% 25.6% -7.1% -42.1%

📊 Statistik Deskriptif Lanjutan

ANIMO

337
Mean ± 127 (SD)
CV: 37.7% | Min: 230 | Max: 546
Q1: 244 | Median: 311 | Q3: 356
Skewness: 1.416 | Kurtosis: 2.013

DAYA TAMPUNG

84
Mean ± 33 (SD)
CV: 38.5% | Min: 44 | Max: 108
Q1: 54 | Median: 108 | Q3: 108
Skewness: -0.662 | Kurtosis: -3.021

HASIL

150
Mean ± 38 (SD)
CV: 25.2% | Min: 114 | Max: 195
Q1: 121 | Median: 133 | Q3: 185
Skewness: 0.506 | Kurtosis: -2.927

MHS BARU

127
Mean ± 32 (SD)
CV: 25.4% | Min: 81 | Max: 157
Q1: 107 | Median: 140 | Q3: 151
Skewness: -0.805 | Kurtosis: -1.232

MHS AKTIF

915
Mean ± 49 (SD)
CV: 5.3% | Min: 833 | Max: 955
Q1: 912 | Median: 924 | Q3: 949
Skewness: -1.552 | Kurtosis: 2.573

WISUDA

100
Mean ± 8 (SD)
CV: 7.9% | Min: 90 | Max: 109
Q1: 93 | Median: 102 | Q3: 104
Skewness: -0.206 | Kurtosis: -2.008

CUTI

143
Mean ± 36 (SD)
CV: 25.0% | Min: 88 | Max: 185
Q1: 138 | Median: 145 | Q3: 160
Skewness: -0.827 | Kurtosis: 1.523

NONAKTIF

315
Mean ± 109 (SD)
CV: 34.6% | Min: 176 | Max: 421
Q1: 221 | Median: 374 | Q3: 382
Skewness: -0.579 | Kurtosis: -2.575

⏰ Analisis Time Series & Trend

🔗 Analisis Korelasi & Klaster

📈 Analisis Regresi Multivariat

⚠️ Diagnostik Model & Asumsi

🔮 Forecasting & Analisis Skenario 2026-2028