Analisis Efisiensi Menggunakan Metode Data Envelopment Analysis (Studi Kasus Pada Perusahaan Kosmetik yang Terdaftar di Bursa Efek Indonesia Tahun 2019-2022)

Abstract

This study aims to measure the efficiency of Cosmetic Companies listed on the Indonesia Stock Exchange in 2019-2022 using the data envelopment analysis (DEA) approach. DEA is a nonparametric method for measuring the efficiency of a Decision Making Unit (DMU) decision-making unit. DEA compares several homogeneous DMUs based on a number of inputs to produce the expected output. This study uses a method with four inputs and two outputs. Data were analyzed using the DEAP version 2.1 application with the Constant Return to Scale (CRS) model. The results of the study show that: Efficiency analysis using Data Envelopment Analysis (DEA) Model Constant Returns to Scale (CRS) in six cosmetic companies. Overall, the Company experienced a fluctuating and significant level of efficiency. Before COVID-19, cosmetic companies on the Indonesia Stock Exchange generally showed a high level of efficiency, with some companies recording optimal efficiency of up to 100%. The companies that were able to achieve an efficiency value of 100% were PT. Martina Berto Tbk, PT. Unilever Indonesia Tbk, and PT. Kino Indonesia Tbk who managed to manage their costs and assets very well, reflecting effective and efficient operational management. While after COVID-19, the efficiency of cosmetic companies on the Indonesia Stock Exchange decreased in general. Many companies experienced a decline in operational efficiency, reflecting challenges in managing costs and adapting to changing market conditions. Some companies managed to increase efficiency again, but fluctuations remained reflecting the significant impact of the crisis on operational performance.