ANALYZING SUSTAINABLE PRODUCTIVITY AND EFFICIENCY AT THE TJOEKIR SUGAR FACTORY OF PT SINERGI GULA NUSANTARA USING DATA ENVELOPMENT ANALYSIS AND THE MALMQUIST PRODUCTIVITY INDEX

Azizah, Alya Nur (2026) ANALYZING SUSTAINABLE PRODUCTIVITY AND EFFICIENCY AT THE TJOEKIR SUGAR FACTORY OF PT SINERGI GULA NUSANTARA USING DATA ENVELOPMENT ANALYSIS AND THE MALMQUIST PRODUCTIVITY INDEX. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

Indonesia's sugar industry confronts a persistently widening gap between domestic production and consumption. The operational management of sugar mills, which continues to rely heavily on aging capital assets, has been widely identified as a primary contributor to chronically low levels of technical efficiency and productivity. This study aims to analyze the technical efficiency and sustainable productivity dynamics of PT Sinergi Gula Nusantara's Tjoekir Sugar Mill for the period 2021–2025, while simultaneously examining the relationship between operational performance and the implementation of Environmental, Social, and Governance (ESG) principles within the company's operations. To achieve these objectives, the study employs a quantitative descriptive approach, integrating two complementary methodologies: the output-oriented CCR model of Data Envelopment Analysis (DEA) and the Malmquist Productivity Index (MPI). Data were obtained from the historical operational records of Tjoekir Sugar Mill and supplemented by structured interviews conducted with the Quality Assurance Department. All data processing and computational analyses were performed using the Python programming language within the Google Colab environment. The findings demonstrate that Tjoekir Sugar Mill achieved full technical efficiency (θ = 1.000) in both 2023 and 2025, whereas 2024 recorded the lowest efficiency score (θ = 0.942), indicating an output improvement potential of 5.8%. Aggregate productivity growth of 2.2% over the study period was predominantly attributable to Technological Change rather than Efficiency Change, providing empirical evidence that asset optimization through systematic maintenance and overhaul constitutes a more decisive driver of productivity enhancement than the acquisition of new machinery per se. Furthermore, these findings indicate that operational efficiency is closely aligned with ESG principles, as reflected in minimized production losses, the utilization of bagasse and molasses as manifestations of a circular economy framework, and the adoption of data-driven governance characterized by transparency and accountability. Keywords: Data Envelopment Analysis; Technical Efficiency; Malmquist Productivity Index; Sustainable Productivity; Environmental, Social, and Governance (ESG)

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorHandayani, Wiwik0713016901wiwik.em@upnjatim.ac.id
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
H Social Sciences > HC Economics
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HD Industries. Land use. Labor > HD30.28 Strategic Planning
H Social Sciences > HD Industries. Land use. Labor > HD62.15 Total Quality Management
H Social Sciences > HD Industries. Land use. Labor > HD9000 Agricultural Industries
Divisions: Faculty of Economic and Business > Departement of Management
Depositing User: Alya Nur Azizah
Date Deposited: 26 May 2026 08:27
Last Modified: 26 May 2026 09:16
URI: https://repository.upnjatim.ac.id/id/eprint/52869

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