APPLICATION OF MACHINE LEARNING CLASSIFICATION FOR ELECTRICITY THEFT DETECTION AMONG POSTPAID RESIDENTIAL CUSTOMERS USING TRADITIONAL METERS: A CASE STUDY ON CUSTOMER SERVICE UNITS WITH THE HIGHEST INCIDENCE AT PLN

• Main Author: Pascal Taruna, Alief
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/86679
• Institution: Institut Teknologi Bandung

Electricity theft is a major challenge for PT PLN (Persero), particularly in managing 27 million postpaid customers, most of whom still use traditional meters. Detecting and addressing electricity theft has become increasingly complex, requiring more efficient approaches. Unlike smart meters, tra...