Jurnal Sistem Teknik Industri

The Role of Human Error in Production Process Failures: A Systematic Literature Review

Windy Wijayanti Windy, Harmein Nasution, Listiani Nurul Huda — Sat, 02 Aug 2025 00:00:00 +0700

Human error One of the most common causes of production failures is human mistake, which can impact product quality, operational efficiency, and workplace safety. This research aims to analyze the role of human error in the production process using various analytical methods found in the literature. This research uses a Systematic Literature Review (SLR) approach to explore the literature related to Human Error in the production process, with the aim of identifying, evaluating, and synthesizing the results of relevant studies. This research shows that 70-90% of quality defects are caused by human error, which impacts quality, increases operational costs, and poses a risk of workplace accidents. Research shows that factors such as lack of training, misunderstanding, as well as an unergonomic work environment, stress, and unclear or complicated SOPs also increase the risk of human error. The use of methods such as CREAM (Cognitive Reliability and Error Analysis Method) is employed to evaluate human reliability and predict Human Error Probability (HEP) in complex cognitive tasks. SHERPA is a method used to identify, predict, and reduce the potential for human error in a system. HEART (Human Error Assessment and Reduction Technique) is a technique designed to estimate the likelihood of human error based on specific working conditions. FMEA (Failure Modes and Effects Analysis) is a systematic method used to identify and analyze potential failures in a process or system.

Increasing Production Productivity by Improving Facility Layout Using the BLOCPLAN Method, Systematic Layout Planning, and Differential Evolution Algorithm

Sat, 02 Aug 2025 00:00:00 +0700

A furniture company that produces dining chairs, coffee tables, and sofa has a common problem, namely the company's inability to complete production targets within the specified time period. These general problems are the result of less efficient production paths because there is backtracking, by-passing, cross movement, and material transfer between stations that are far apart. This problem can be resolved by using improvements to the production floor layout using BLOCPLAN, Systematic Layout Planning, and Algorithms Differential Evolution. This research aims to design a production floor layout that can minimize distance, total movement moment, and material handling costs, with a line efficiency rate above 75%. The results of this research show that the proposed layout was selected using the Differential Evolution Algorithm with a displacement distance of 231.24 meters, a total displacement moment of 15,820.93 meters/month, material handling costs of IDR 1,865,920/month, and a line efficiency rate of 81.94 %.

A Quantitative Analysis of CRM Strategies on Customer Satisfaction and Loyalty: A Case Study in Space Rental Service Business

Yuhelsy Gayatri Evilia, Muhammad Zakaria, Syamsul Bahri; Meutia Fadilla — Sat, 02 Aug 2025 00:00:00 +0700

This study investigates how Customer Relationship Management (CRM) strategies impact customer satisfaction and loyalty within the space rental service industry. Employing a quantitative approach through Structural Equation Modeling - Partial Least Squares (SEM-PLS), this study evaluates three CRM dimensions: people, process, and technology. The data were obtained via a structured questionnaire administered to 98 respondents and analyzed using the SmartPLS software. The findings reveal that process and technology significantly affect satisfaction and loyalty, whereas the people dimension has a minor impact. Specifically, the CRM process dimension positively influences satisfaction (t = 3.184, p < 0.01) and loyalty (t = 2.590, p < 0.05), while technology shows strong effects on both (satisfaction: t = 3.696; loyalty: t = 4.850; p < 0.001). The study recommends implementing operational CRM initiatives such as call centers, feedback mechanisms, and digital engagement strategies. This work contributes to the CRM literature by offering targeted insights for physical service businesses in Indonesia.

Design Thinking Implementation for User Experience Improvement of UNS Graduation Website: A Case Study

Ghani Naufal Tamma, Irwan Iftadi, Rahmaniyah Dwi Astuti — Sat, 02 Aug 2025 00:00:00 +0700

Design thinking is a human-centered problem-solving methodology focusing on innovative solutions. Design thinking can be used to improve the user experience of a website. Design thinking consists of empathize, define, ideate, prototype, and test phase. Based on preliminary observation, the current UNS Graduation Website demonstrates significant usability issues that interrupt the user experience. The lack of error prevention and informative feedback leads to repeated mistakes and user frustration. Additionally, visual and functional inconsistencies further reduce usability. These issues were confirmed through the System Usability Scale (SUS), which yielded a low score, indicating a difficult and unpleasant user experience. To address these issues, this study applies the design thinking methodology to re-design the UNS Graduation Website with the aim of improving its usability and enhancing user experience. The prototype is tested by 20 users using usability testing tools named Maze and System Usability Scale (SUS). The result based on Maze testing, the prototype got a success rate percentage of 100% and a usability score of 85 for the UNS Graduation Website. The usability score tested by SUS also increased from 43,25 to 82. This affirms the successful outcome of the re-design in improving the user experience and increasing the usability of the UNS Graduation Website.

a Designing Ergonomic Seating for Stone Bara Songket Woven Fabric Craftsmen as an Effort to Reduce Mosculeskeletal Complaints Using Rapid Entire Body Assessment (Reba) at Umkm Rumah Songket Maisyarah

Subhan A. Gani, Cut Ita Erliana, Julia Diyanti Lia — Sat, 02 Aug 2025 00:00:00 +0700

UMKM Rumah Songket Maisyarah is one of the micro, small, and medium enterprises in the field of songket weaving. The process of making songket fabric still uses Alat Tenun Bukan Mesin (ATBM) with seating consisting of simple boards without cushions or backrests. The weavers for 8 hours a day in a sitting posture. Based on the results of the Nordic Body Map questionnaire distribution, it was found that the weavers complained of pain in the back, shoulders, waist, buttocks, thighs, and calves. If this is left untreated for a long time, it will result in weavers suffering from musculoskeletal disorders. The purpose of this research is to assess the work posture and propose an ergonomic seating arrangement for weavers to reduce the risk of musculoskeletal disorders. The method used in this research is Rapid Entire Body Assessment. The results of the posture assessment show that the weavers are at a high level of musculoskeletal risk. The researchers proposed the design of a songket weaving seat that aligns with the anthropometric data of the weavers, with a seat height of 47.1 cm, a seat depth of 48.65 cm, a seat length of 100 cm, a backrest height of 59.9 cm, a backrest length of 100 cm; and seat and backrest thickness of 4 cm. It is hoped that this proposal can reduce the risk of musculoskeletal disorders among songket weavers in Batu Bara.

Risk Identification and Mitigation in the Halal Black Tea Orthodox Supply Chain Using SCOR and House of Risk

Ahmad Shalihin, Clarisa D Sihombing, Sukaria Sinulingga — Sat, 02 Aug 2025 00:00:00 +0700

The plantation sector such as tea has a complex supply chain. The production process that takes place at PTPN IV Tobasari Tea Unit is not free from various problems. Delays in the raw material processing process often occur due to raw materials not arriving according to schedule. Delays are supported by disruptions to processing machines that can hinder or even stop the production process. Therefore, it is necessary to design mitigation actions to minimize and prevent risks that occur. This study aims to identify risk-causing factors using the Supply Chain Operation Reference (SCOR) and formulate effective risk mitigation policies based on priority risk agents using the House of Risk (HOR) approach. The results of risk identification at House of Risk showed that there were 21 risk events with 4 priority risk agents where the cumulative frequency value of Aggregate Risk Potential (ARP) was 76.82%. Effective and easy mitigation actions based on the Effectiveness to Difficulty value are to conduct analysis and evaluation of employee performance. These findings provide practical implications for improving supply chain resilience in the tea industry, particularly in addressing delays and machine failures through targeted risk mitigation strategies.

Development of the E-SERVQUAL Model for Online Travel Agent to Enhance Customer Experience

Sayyidah Maulidatul Afraah, Zahwa Putri Aghniya, Brahmastya Artanto — Sat, 02 Aug 2025 00:00:00 +0700

The tourism industry in Indonesia plays a crucial role in the national economy. The digital transformation has brought about substantial changes in the tourism sector, particularly in travel agencies. This transformation has led to increased consumer demand for travel services that are easily accessible and reliable. Such demand has been met by the emergence of various Online Travel Agent (OTA) that facilitate the sale of travel-related services through official websites and mobile applications. This study aims to analyze service quality by developing an e-service quality model for the top three OTA with the highest number of users in Indonesia. The limited number of studies specifically addressing service quality models for OTA as urgency of this research. Data collection in this study was conducted through data scraping from the Google Play Store. The research process involved six main stages: data collection, review categorization and mapping, model development, dimensional scoring, result analysis and discussion, and the formulation of solution recommendations. The analysis identified 22 review categories distributed across 8 E-Servqual dimensions. The highest number of reviews was found in the responsiveness dimension, with 114 reviews and an average score of 1.2 out of 5. A more in-depth analysis using the IPA method indicated that the responsiveness and information dimensions were the most frequently reviewed and needed for immediate improvement. Therefore, the study proposes improvements and solution designs to enhance CX through data-driven strategies.

Measuring Supply Chain Performance and Developing Competitive Strategy on Small Medium Enterprise Craft Industry using SCOR-AHP Model

Dwi Adi Purnama, Didin Dwi Novianto, Nur Laily Haryanti — Sat, 02 Aug 2025 00:00:00 +0700

Small and medium enterprises (SMEs) require support to evolve into established organizations due to their strong flexibility to change. Nonetheless, numerous obstacles confront SMEs in their efforts to develop and compete. This study seeks to evaluate supply chain performance and the formulation of competitive strategies inside small and medium-sized enterprises (SMEs). This serves as an option for assessing supply chain performance while emphasizing the formulation of competitive strategies to enhance it, encompassing the management of material, information, and financial flows from both supply and demand perspectives. The evaluation of supply chain performance is conducted with the SCOR model, which relies on the identification of Key Performance Indicators (KPIs) derived from the outcomes of the SMEs business mapping process. Subsequently, multi-criteria decision making (MCDM) employing the Analytical Hierarchy Process (AHP) is utilized to assign weights to the KPI criteria for assessing supply chain performance and guiding competitive strategy creation. The study's results identified the indicators categorized into planning, production, sourcing, delivery, and returns. The measurement of supply chain performance suggests that the case study industry has a value of 84.11, signifying commendable performance. Moreover, competitive strategies, using Kraljic Matrix, Six Sigma, Lean Method, or mixed strategies, have been suggested to enhance supply chain performance and business competition, informed by the outcomes of the SCOR model and the MCDM approach.

Additive Manufacturing in Prosthetics Field: A Literature Review

Sat, 02 Aug 2025 00:00:00 +0700

Prosthetic devices play a critical role in restoring mobility and enhancing the quality of life for individuals who have experienced limb loss due to trauma, disease, or congenital conditions. However, the high cost, discomfort, and limited accessibility of conventional prosthetics present ongoing challenges. In response, Additive Manufacturing (AM), particularly 3D printing, has emerged as a transformative solution in the field of prosthetics. This technology enables the creation of patient-specific prosthetic components with complex geometries, improved fit, and reduced weight, all while lowering production costs and minimizing the need for post-processing. Through a comprehensive review of recent studies, this paper explores the advancements and applications of AM in prosthetics, including the integration of machine learning, finite element method (FEM) simulations, and new materials such as PLA, ABS, ASA, and carbon fiber-reinforced composites. Research findings indicate that AM facilitates the development of durable, lightweight, and anatomically accurate devices, such as transfemoral sockets and prosthetic thumbs, which pass international fatigue and safety standards. The studies also highlight the advantages of AM in pediatric prosthetic design, where rapid anatomical changes necessitate frequent adjustments. By streamlining the production process and enabling customization, AM significantly improves comfort, usability, and accessibility for users. This review concludes that additive manufacturing holds immense potential to revolutionize prosthetic development by offering cost-effective, sustainable, and user-centered solutions. The continued advancement and integration of digital manufacturing technologies are poised to address existing limitations in prosthetic care and support the growing global demand for innovative, inclusive, and high-quality assistive devices.

Enhancing Performance and Worker Satisfaction at Tokonekoncoku Logistics Warehouse through Ergonomic Interior Design: A DMADV and CTQ-Based Study

Sat, 02 Aug 2025 00:00:00 +0700

The rapid expansion of the e-commerce sector has imposed considerable demands on Usaha Mikro, Kecil, dan Menengah (UMKM) to enhance the operational efficiency of their logistics warehouses. This study aims to improve organizational performance and employee well-being at Tokonekoncoku, a logistics UMKM, through an ergonomic workplace redesign. The research employs the Define, Measure, Analyze, Design, Verify (DMADV) methodology, emphasizing Critical to Quality (CTQ) parameters to ensure that the proposed interventions are both contextually relevant and quantitatively measurable. The CTQ priorities identified include operational time efficiency, productivity enhancement, and workforce satisfaction. By systematically implementing ergonomic principles—encompassing layout reorganization and workstation modifications—the study demonstrates a significant improvement in the efficiency and comfort of the work environment. The findings underscore that the integration of ergonomic design within the DMADV framework offers a robust approach to simultaneously advancing operational performance and promoting worker well-being in UMKM logistics settings.

Analysis of The Influence of Student Decisions in Using Artificial Intelligence (AI) As a Learning Reference

Feby Anggraini, Sri Meutia, Defi Irwansyah — Sat, 02 Aug 2025 00:00:00 +0700

Education is one of the many facets of human existence that have changed as a result of the advancement of artificial intelligence (AI). The goal of artificial intelligence (AI), a subfield of computer science, is to create computers and systems that can carry out operations that normally call for human intellect. According to data, the number of people using AI is expected to reach 3.33 million annually by 2030. Out of the 100 respondents who received the surveys, 100 said they utilize AI apps. Students in semesters two (19%), four (36%), six (17%), and eight (28%), respectively, make up the distribution of use. 90% of AI is used as a learning reference, compared to 10% for thesis. This study uses the Technology Acceptance Model (TAM) technique as a theoretical framework to ascertain the perceptions that help Industrial Engineering students decide whether to use AI as a learning reference. The analysis's findings indicate that perceived advantages (38.64%), perceived ease of use (40.73%), and actual usage (16.81%) are the perceptions that affect students' decisions in Malikussaleh University's Industrial Engineering department. The development of AI integration tactics in higher education can benefit greatly from these discoveries.

The Use of Active Filter to Mitigate Harmonics in Cryptocurrency Mining Computer

Damai Lendra Boy Rendika, Suherman, Syafruddin Hasan — Sat, 02 Aug 2025 00:00:00 +0700

Cryptocurrency mining computers act as non-linear loads, introducing significant harmonic distortions that degrade power quality and system efficiency. This study explores the use of a shunt active filter with an inductance of 0.0075 H to reduce harmonics in a high-load cryptocurrency mining rig. Harmonic measurements were collected using a Fluke 43 Power Quality Analyzer and validated through MATLAB/Simulink simulations. Results revealed a substantial reduction in Total Harmonic Distortion in Current (THDi) from 76.62% to 9.18%, achieving compliance with IEEE 519-2014 standards. Additionally, major harmonic orders—specifically the 3rd, 5th, and 7th—were each suppressed by more than 90%. The system’s power factor improved markedly from 0.85 to 0.99, indicating enhanced energy efficiency. These outcomes demonstrate the effectiveness of active filters in improving power quality in cryptocurrency mining operations and suggest their practical application in industrial-scale setups to minimize energy losses, extend hardware lifespan, and support grid stability.