Elfira Febriani Harahap Harahap, Rina Fitriana Fitriana, Sucipto Adisuwiryo Adisuwiryo

A Bibliometric Analysis of Undergraduate Theses in Industrial Engineering Undergraduate at Universitas Trisakti: Research Trends and Future Directions

Introduction

A bibliometric analysis of undergraduate theses in industrial engineering undergraduate at universitas trisakti: research trends and future directions . Analyze 350 Industrial Engineering undergraduate theses (2021-2024) at Universitas Trisakti using bibliometrics. Discover research trends, key supervisors, and future directions including AI & Industry 4.0.

Abstract

Industrial Engineering (IE) is a multidisciplinary field that evolves alongside technological advancements and global challenges. While bibliometric analyses are commonly used to assess journal publications, limited studies focus on the research trends within undergraduate theses, especially in Indonesia. Understanding these trends is essential for aligning academic curricula with emerging research areas. This study analyzes research trends in undergraduate theses at Universitas Trisakti's Industrial Engineering Department between 2021 and 2024. Data were collected from the campus repository and filtered using the keyword “industrial engineering.” A bibliometric analysis was conducted using Microsoft Excel for data processing and Python for computational mapping. K-means clustering was applied to identify active supervisors and research collaborations across laboratories. A total of 350 theses were analyzed, showing a peak in publications in 2021 (130 theses). The Quality Engineering Laboratory emerged as the most active contributor, with standard methodologies including FMEA, Six Sigma, Simulation, and Sustainable Practices. Key supervisors such as Triwulandari, Didien S, and Wawan K significantly shaped research directions. The study recommends integrating emerging technologies such as AI, machine learning, and Industry 4.0 to enhance future research relevance and industrial applications.

Review

This study presents a timely and valuable bibliometric analysis of undergraduate theses in Industrial Engineering at Universitas Trisakti, addressing a notable gap in the literature concerning research trends at the undergraduate level, particularly within the Indonesian academic context. The research aims to understand these trends to better align curricula with emerging areas, which is a commendable and practical objective. The methodology appears sound, utilizing a bibliometric approach with data processed via Microsoft Excel and Python, including K-means clustering for deeper insights into supervisor activity and laboratory collaborations, providing a contemporary snapshot of research output between 2021 and 2024. The abstract effectively summarizes key findings from the analysis of 350 theses, highlighting a peak in publications in 2021. It identifies the Quality Engineering Laboratory as the most active contributor, with prevalent methodologies including FMEA, Six Sigma, Simulation, and Sustainable Practices, offering a clear picture of the dominant research areas within the department during the analyzed period. Furthermore, the identification of key supervisors (Triwulandari, Didien S, Wawan K) provides valuable insight into the individuals shaping the departmental research landscape. These findings are crucial for understanding the current academic focus and resource allocation. While the study successfully outlines existing trends, its recommendations for future directions, such as integrating AI, machine learning, and Industry 4.0, are highly relevant for enhancing industrial applicability and staying current with technological advancements. To strengthen these recommendations, the full paper should ideally elaborate on the specific gaps identified in the current research that necessitate these new directions, perhaps by quantifying the *lack* of these technologies in the analyzed theses. Overall, the study contributes significantly by mapping the research landscape of an IE department at an Indonesian university, providing a foundational assessment for strategic curriculum development and resource planning, and offers a useful model for other institutions seeking to evaluate their own undergraduate research output.

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