Filter by
Found 1 from your keywords: author=Srikandi, Agistha
KLASIFIKASI KABUPATEN KOTA DI INDONESIA BERDASARKAN TINGKAT PENGELUARAN PERKA…
This study aims to classify regencies / cities in Indonesia based on the level of expenditure in the snack food group by applying the K-Nearest Neighbor (K-NN) algorithm, and K-NN which is optimized using Multi Objective Particle Swarm Optimization (MOPSO). The classification results with K-NN show that the accuracy value is 90% which is classified as good, but the f1_score value of 75.00%, pre…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xv, 67 hlm.; ilus.; 29 cm
- Series Title
- -
- Call Number
- T1737602025
Computer Science, Information & General Works 
Philosophy & Psychology 
Religion 
Social Sciences 
Language 
Pure Science 
Applied Sciences 
Art & Recreation 
Literature 
History & Geography