cover
Contact Name
Parwadi Moengin
Contact Email
parwadi@trisakti.ac.id
Phone
+628128210951
Journal Mail Official
jurnalti@trisakti.ac.id
Editorial Address
Jurusan Teknik Industri FTI Universitas Trisakti Gedung Heri Hartanto Lantai 5 JL. Kyai Tapa no 1, Grogol, Jakarta Barat-11440
Location
Kota adm. jakarta barat,
Dki jakarta
INDONESIA
JURNAL TEKNIK INDUSTRI
Published by Universitas Trisakti
ISSN : 14116340     EISSN : 26225131     DOI : https://doi.org/10.25105/jti
Jurnal Teknik Industri (JTI) mainly focuses on industrial engineering scientific essays in the form of research results, surveys and literature review that are closely related to the Field of Industrial Engineering
Articles 5 Documents
Search results for , issue "Vol. 15 No. 1 (2025): March 2025" : 5 Documents clear
Standard Time Measurement and Optimization of the Number of Labor at Ruang Klambi Convection with the Approach of Work Sampling and Work Load Analysis (WLA)  Khairunnissa, Lydwiza Firdananda Khairunnissa; Nurhasanah, Nunung Nurhasanah; Purwandari, Aprilia Tri Purwandari; Khairunnissa, Lydwiza Firdananda
JURNAL TEKNIK INDUSTRI Vol. 15 No. 1 (2025): March 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i1.19851

Abstract

Several companies indirectly give excessive workloads that are considered to increase productivity. Besides workload, the work environment is important in encouraging employees to work optimally. Ruang Klambi Convection does not have a good work system due to the absence of an effective work schedule and poor work environment conditions. This can allow for overload or excessive workload on each worker. The primary motivation for this study is to improve work efficiency at Ruang Klambi Convection, which faces problems of excessive workload and a non-optimal work environment. Through the Work Sampling and Work Load Analysis approach, this study aims to measure standard production time and determine the optimal number of workers, thus reflecting a significant paradigm in measuring standard time. This study was conducted by calculating the standard time required to produce a midi dress with an average order of 30 pieces, measuring and analyzing the workload level from each workstation, and determining the optimal number of workers. Based on the calculations, the results show that the standard time to fulfill an order of 30 pieces is 106.2 hours (equivalent to 5 days). In addition, based on the analysis of the workload of each workstation, two workstations are classified as overloaded, namely workstations I (Pattern Making and Cutting) and II (Sewing), so it is necessary to add a worker to both workstations to achieve a fit workload.
Improving Service Quality with the SERVQUAL Method and Linear Programming Optimization at a Transportation Provider Company Rizkiyah, Ega Rizkiyah; Supriyanto, Hari Supriyanto; Dharaka, Kumara Pinasthika Dharaka; Erlangga, Dicky Erlangga
JURNAL TEKNIK INDUSTRI Vol. 15 No. 1 (2025): March 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i1.19959

Abstract

The rapid growth of the technology industry poses significant challenges for transportation providers in maintaining service quality, particularly in addressing the gap between customer expectations and perceptions and ensuring efficient resource management. This study explores factors influencing service quality in Malaysian transportation provider companies using the SERVQUAL method, quality function deployment (QFD), and linear programming optimization. Key objectives include identifying issues in the TPM application service process, measuring gaps between customer perceptions and expectations, identifying critical service attributes using importance-performance analysis, and prioritizing technical responses to improve service quality using linear programming optimization. Based on root cause analysis, importance-performance mapping, and the house of quality framework, the study identified four key recommendations: updating standard operating procedures (SOPs) and monitoring service issues, providing driver training on methods and skills, implementing stricter driver selection criteria with a focus on code of conduct compliance, and developing an improved application interface for better customer location accuracy. These measures aim to enhance the efficiency and effectiveness of services, ensuring better alignment with customer needs and expectations while addressing critical operational challenges. By bridging the service quality gap, this research provides actionable insights to support continuous improvement in the Transportation Provider Company from Malaysia.
Quality Improvement Using the Six Sigma DMEDI Method for Hand Sterilizer Products Yojana, Ratna Mira Yojana; Clarresta , Cynthia Clarresta; Fitiana, Rina Fitiana
JURNAL TEKNIK INDUSTRI Vol. 15 No. 1 (2025): March 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i1.21476

Abstract

XC Clenaindo Company is a manufacturing company that provides cleaning and sanitation services in Indonesia. However, defects that exceeded the company's tolerance limits were found in hand sterilizer products. This research aims to improve product quality so that it satisfies customer needs. Analysis was conducted to determine the leading causes of product defects using the Six Sigma Define, Measure, Explore, Design, and Implement (DMEDI) method. The DMEDI Six Sigma method is a quality improvement method with a creative approach so that the resulting solution can be a new work system design. The results of the defined process research found two problems, namely product defects because the Sterobac hand sterilizer bottle was convex and the length of the label installation process. At the measure stage, it was discovered that the problem was in the filling and labeling process, which was influenced by the increasing number of requests. At the exploration stage using the 5 why deep interview method, it was discovered that the problem was due to the lack of temperature during the liquid pouring process and the label design making the sticking process difficult. So, the work process was redesigned at the filling stage, and a new label design was created, which made it easier for workers to stick labels and apply the 5S concept. The final stage was implemented by designing the Poka-Yoke Form and Worker Operational Standards for the Filling. This research results in a reduction in the number of defective products.
Work Fatigue and Response Time to Emergencies on the Morning and Night Shift Workers Lady, Lovely Lady
JURNAL TEKNIK INDUSTRI Vol. 15 No. 1 (2025): March 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i1.21316

Abstract

Introduction: Operating 24 hours a day is unavoidable for some industries, so the industry divides working time into 3 shifts. The night shift is when the human body must rest in line with the body's circadian rhythm. Working night shifts challenges workers because they must fight their drowsiness. This has serious consequences for safety and health. Methods: This study has two groups of subjects; the first group is security workers in the industry, and the second group is nurses. Both groups of workers work in the morning and night shifts. These two groups of workers have the same job characteristics: they work whenever needed, and part of the time is used to rest or wait for conditions that must be served. This research is a naturalistic study. The respondents were 20 men who worked in the industry and 20 women who worked as nurses. Observations and data collection for morning shift work and night shift work. The observations also compared two different occupational groups. Results: The speed of response to emergency conditions was assessed by the subjects' reaction time. Reaction time is the interval of time that a person needs to respond to a stimulus. Work fatigue is assessed subjectively using an exhaustion questionnaire. The subject's reaction speed and fatigue were compared between the morning and night shift work. The two groups of workers were also compared. Low reaction speed and high work fatigue can potentially cause work errors and work accidents, so solutions are provided to overcome them.
A Bibliometric Analysis of Undergraduate Theses in Industrial Engineering Undergraduate at Universitas Trisakti: Research Trends and Future Directions  Harahap, Elfira Febriani Harahap; Fitriana, Rina Fitriana; Adisuwiryo, Sucipto Adisuwiryo
JURNAL TEKNIK INDUSTRI Vol. 15 No. 1 (2025): March 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i1.22492

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.

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