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Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
Published by Universitas Islam Negeri Sultan Syarif Kasim Riau
ISSN : 2460898X     EISSN : 27146235     DOI : http://dx.doi.org/10.24014/jti
Core Subject : Science, Social, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering
(ISSN : 2460-898X) JTI merupakan jurnal akademik yang dipublikasikan 2 kali setahun, meliputi bulan Juni dan Desember. Tujuan jurnal ini menyediakan tulisan yang memiliki yang fokus pada bidang Teknik Industri. lebih lanjut jurnal ini dipulikasikan oleh Jurusan Teknik Industri Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan syarif Kasim Riau. Tulisan yang diterima merupakan hasil originalitas dan memberikan kontribusi yang belum pernah dipublikasikan sebelumnya.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 373 Documents
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Digitalization and Optimization of HR at ONIP (DRC): An Integrated Mathematical Approach Sindani, Evariste; Ntumba Badibanga, Simon; Kafunda Katalay, Pierre; Mbuyi Mukendi, Eugène
JTI: Jurnal Teknik Industri Vol 11, No 1 (2025): JUNI 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i1.36185

Abstract

This study proposes an integrated approach to digitalizing human resources (HR) in African public institutions by developing a performance optimization model. Based on five key variables—processing time, operational cost, service quality, degree of automation, and employee satisfaction—this model aims to enhance the overall efficiency of HR processes. The study is applied to the case of the National Office for Population Identification (ONIP) in the Democratic Republic of Congo and highlights substantial improvements in human resource management. Theoretically, the approach contributes to the digital transformation field through modeling, and practically, by offering a reproducible and adaptable framework for other public organizations with limited resources.Keywords: Digitalization, HR process optimization, ONIP, HR performance, HRIS.
Analysis of Wood Pallet Quality Control with Six Sigma and FMEA Methods Khakim, Maghrufan; Dahda, Said Salim
JTI: Jurnal Teknik Industri Vol 11, No 1 (2025): JUNI 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i1.37316

Abstract

This research was conducted at a logistics company engaged in warehousing and logistics services, or 3PL (third-party logistics service providers). Based on the results of the study, it is known that there are three types of product defects, the highest occurring during the last month, namely differences in pallet wood dimensions, cracks, and knots in pallet wood. From the FTA (Free Trade Agreement) diagram, it is known that the wood dimension product defect is a product defect that has the highest percentage of defects among other product defects, which is 62%. The processing results obtained an average DPMO value of 353.28 failures per one million, and the sigma level is around 3.33. Based on data analysis using Failure Mode and Effect Analysis, there are 3 product defects: dimensional differences, cracks, and knots on pallets. The main causes of product defects are checking goods from less careful suppliers, using damaged wooden pallets, and lacking lighting in the work area. Based on the analysis using SIX SIGMA and FMEA, quality improvement proposals for the company, namely conducting training and training so that employee knowledge and skills increase, selecting pallets that meet the standards, and adding lighting in the work area.  Keywords: Defect, FTA, DPMO, Six Sigma, FMEA 
Analysis of the 7P Marketing Mix and Strategic Recommendations Using an Omnichannel Approach: A Descriptive Study of Cooler City, Telukjambe Timur, Karawang Maulidin, Wildan Fatchan; Wahyudin, Wahyudin; Indriyani, Septia; Famella, Gading Adithia
JTI: Jurnal Teknik Industri Vol 11, No 1 (2025): JUNI 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i1.32944

Abstract

This study examines the integration of the 7P marketing mix with a multichannel approach at Cooler City Telukjambe Timur Karawang, focusing on its impact on customer experience and business competitiveness. This study addresses the gap in understanding how this strategy is implemented in the Indonesian food and beverage industry, especially in a competitive market. Using a descriptive qualitative method, data was collected through management interviews, direct observation, and digital platform analysis. The study findings revealed that implementing the 7P strategy increased customer engagement through diverse product offerings, flexible pricing, strategic locations, and active social media promotions. However, some areas that need improvement include optimizing digital promotions through influencer collaboration and developing a direct ordering platform. The study concluded that although the 7P and cross-channel strategies have been implemented effectively, continuous digital marketing and staff training innovation is essential to maintain competitiveness and support sustainable growth in the ice cream and beverage sector. Recommendations emphasize enhancing digital promotion strategies and improving customer service processes to ensure a consistent customer experience across all channels.Keywords: Marketing Mix, 7P, Omnichannel, Cooler City, Karawang
Overcoming Data Imbalance in Risk Management: A Comparative Study of Sampling Methods Astungkara, Arya Wijna; Rifai, Achmad Pratama
JTI: Jurnal Teknik Industri Vol 11, No 1 (2025): JUNI 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i1.37368

Abstract

Data imbalance is a significant challenge in risk management, especially in classification tasks where critical events—such as loan defaults, employee attrition, or company bankruptcy—occur less frequently than normal cases. This paper presents a comparative study of eight sampling methods—Random Undersampling (RUS), Random Oversampling (ROS), Edited Nearest Neighbor (ENN), One-Sided Selection (OSS), SMOTE, ADASYN, SMOTEENN, and SMOTETomek—across three imbalanced datasets: Taiwanese Bankruptcy Prediction, IBM HR Analytics Employee Attrition, and Loan Prediction. Using eight machine learning classifiers, the study evaluates performance using F1 Score and Negative Predictive Value (NPV), two metrics suited for imbalanced data. The results reveal that ENN achieves the highest F1 scores in high-dimensional and severely imbalanced datasets, while SMOTE-based methods perform best in large-scale datasets with moderate imbalance. Notably, RUS consistently delivers the highest NPV, highlighting its effectiveness in minimizing false negatives and supporting conservative decision-making. The findings underscore the importance of aligning sampling strategies with dataset characteristics and specific risk management objectives.
A Review of the Application of Decision Tree Analysis and Artificial Neural Networks in Project Management Akinyokun, Olusina Temidayo; Morakinyo Kehinde, Onifade.; Abejide, Adegoke Michael
JTI: Jurnal Teknik Industri Vol 11, No 1 (2025): JUNI 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i1.16480

Abstract

The advancement of computing and communication technologies has fueled the growth of Information Technology (IT), with Artificial Intelligence (AI) emerging as a transformative force in modernizing project management practices. This study explores the application of two prominent AI techniques—Decision Tree Analysis (DTA) and Artificial Neural Networks (ANN)—in improving project planning and control. A review of empirical studies highlights the limitations of conventional tools such as Gantt charts and the Critical Path Method (CPM) in managing complex project variables, often resulting in cost overruns and schedule delays. In contrast, DTA and ANN demonstrate superior predictive accuracy, decision support, and adaptability capabilities. DTA offers transparent and structured decision-making models, while ANN excels in pattern recognition and outcome forecasting. The findings underscore that integrating these AI tools enhances project efficiency, cost estimation, and time management, establishing AI as a critical asset for future project success.Keywords: Artificial Intelligence, Decision Tree Analysis, Artificial Neural Networks, Project Planning, Project Control
Efficiency Improvement in Raw Material Inventory Management Using EOQ and POQ (Study Case: PT. Varia Usaha Beton) Ali Tamam, Tsania Lutfia Salsabila; Handoko, Fourry; Haryanto, Sony
JTI: Jurnal Teknik Industri Vol 11, No 1 (2025): JUNI 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i1.35903

Abstract

This study aims to calculate the need for inventory and ordering of raw materials for concrete production at PT. Varia Usaha Beton optimally so that there is no excess or shortage of inventory to minimize total costs using the EOQ and POQ methods, and comparing the EOQ and POQ methods that will be applied. This study is a descriptive study with a quantitative approach. Data collection is carried out using observation and interview techniques. The results of this study show that by the EOQ method, the quantity of cement raw material orders is 3,109.01 tons with an ordering period of 3 times per year and a total inventory cost of Rp124,110,362.54. Then, in the POQ method, the quantity of cement raw material orders is 708.12 tons with an ordering frequency of 12 times in one year, with an annual inventory cost of Rp368,875,317.77. With the EOQ method, the quantity of raw materials ordered for sand is 9,630.01 tons with an ordering period of 3 times per year and a total inventory cost of Rp 126,473,726.00. Then, in the POQ method, the quantity of raw materials ordered for sand is 2,515.78 tons, with an ordering frequency of 12 times in one year, with an annual inventory cost of Rp 368,875,317.77. With the EOQ method, the quantity of raw materials ordered for stone is 8,383.57 tons with an ordering period of 3 times per year and a total inventory cost of Rp 111,871,065.21. Then, in the POQ method, the quantity of raw materials ordered for stone is 2,429.67 tons, with an ordering frequency of 12 times in one year, with an annual inventory cost of Rp 242,855,765.96. Thus, using the EOQ method produces a lower total cost than the POQ method, by implementing the EOQ method in managing raw material inventory at PT. Varia Usaha Beton in 2023 is projected to save 80.5% of the previous costs on cement raw materials, 80.8% on sand raw materials, and 81% on stone raw materials. Keywords: Inventory Control, Inventory, Economic Order Quantity, Periodic Order Quantity
Ergonomic Design of a Paving Block Transport Tool Using Anthropometry and Design Thinking Approaches Saputra, Bagus Rachman; Ruwana, Iftitah; Sari, Sanny Andjar
JTI: Jurnal Teknik Industri Vol 11, No 1 (2025): JUNI 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i1.35861

Abstract

This study aims to design an ergonomic paving block transport tool using an anthropometric and design thinking approach to reduce musculoskeletal risk among workers. The research began by assessing worker postures through the Rapid Entire Body Assessment (REBA) method and measuring relevant anthropometric dimensions to inform the tool’s ergonomic specifications. The design process applied a human-centred design thinking framework, incorporating user needs and physical data. REBA analysis showed that Worker 1 had a score of 8 (high risk, requiring immediate intervention), while Worker 2 had a score of 5 (moderate risk). The recommended lifting index was calculated at 0.71, indicating an acceptable workload. Anthropometric data determined key design parameters, including tool height (136 cm), grip height (94 cm), tool width (68 cm), and reach length (73 cm), based on the 5th and 50th percentiles of worker measurements. The selected tool design utilized steel materials for strength and durability and incorporated a rack and lifting mechanism to accommodate up to five paving block boards per transfer. Field testing demonstrated a 257% increase in production capacity and a 33% reduction in transport time. The tool design successfully addressed key ergonomic risks, enhanced operational efficiency, and supported safer manual material handling practices. The study concludes that combining anthropometric data with design thinking can lead to effective ergonomic interventions in construction environments.Keywords: REBA, ergonomics, anthropometry, design thinking, lifting trolley, manual material handling
An Implementation Analysis of AHP-TOPSIS and Music-3D for Optimizing Spare Part Inventory Control (Case Study: PT. Bati) Leo, Kelvin; Rahayu, Siti; Wiyatno, Tri Ngudi
JTI: Jurnal Teknik Industri Vol 11, No 1 (2025): JUNI 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i1.36786

Abstract

This study proposes an integrated spare part inventory control decision-making model using AHP-TOPSIS and MUSIC-3D. While previous studies applied these methods independently, this research combines them within a general trading context to address procurement prioritization and inventory segmentation. AHP was used to assign weights to three inventory criteria: annual consumption (ABC), turnover rate (FSN), and unit price (HML). These weights informed the TOPSIS ranking of 50 spare parts, identifying high-priority items such as MRCT 430 and WLOR XR96. MUSIC-3D further classified items into 16 multidimensional categories to support differentiated control strategies. A one-month implementation at PT. BATI demonstrated improvements in stock control and cost efficiency. The model provides a structured, scalable framework for companies facing high inventory complexity. Keywords: Inventory Management, AHP, TOPSIS, MUSIC-3D, Spare parts, Multi-Criteria Decision Making
The Impact of Online Learning Service Quality on Student Satisfaction During the COVID-19 Pandemic Oroye, Olufemi A.
JTI: Jurnal Teknik Industri Vol 11, No 1 (2025): JUNI 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i1.16782

Abstract

Online learning, also known as e-learning, has played a crucial role in enabling remote education, benefiting many institutions during the COVID-19 pandemic. However, student satisfaction is essential for effectively implementing and utilizing online learning platforms, particularly for institutions that have adopted or plan to adopt them. This study examines the quality of online learning services at Bells University of Technology during the COVID-19 lockdown and its impact on student satisfaction. Data were collected and analyzed using descriptive analysis and Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed hypotheses. The findings indicate that the quality of online learning services significantly influences student satisfaction—higher service quality leads to greater student satisfaction. Keywords: Online Learning Service Quality, Student Satisfaction, Covid-19, Partial Least Squares Structural Equation Modeling (PLS-SEM). .
Facility Layout Redesign for an SME Printing Industry Using Systematic Layout Planning: A Case Study in Dumai Julianti, Dwi; Fitra, Fitra; Haikal, Muhammad; Sitinjak, Rona Uli
JTI: Jurnal Teknik Industri Vol 11, No 2 (2025): December 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i2.38058

Abstract

The printing SME sector often encounters inefficient facility layouts, leading to extended material flow, low productivity, and increased operational costs. This study aims to redesign the facility layout of Jasatama Computer SME in Dumai City to enhance spatial efficiency and workflow. The methods applied are Systematic Layout Planning (SLP) and a graph-based approach, using the rectilinear distance, activity relationship chart, and from-to chart to map the interrelationships among workstations. The practical implications of this study include improved spatial utilization, smoother material flow, and potential enhancement of productivity and workplace ergonomics in printing SME. From a scientific perspective, this research contributes by providing a comparative analysis of two layout design methods, SLP and the graph-based approach, in the SME printing sector, which has been rarely explored in prior studies. The findings highlight that adopting quantitative and systematic methods in facility layout redesign can be an effective solution to support SME sustainability and competitiveness. The analysis results indicate that the initial layout generated a total material transfer distance of 205.85 meters. The proposed SLP-based layout reduced the distance to 168.43 meters, while the graph-based approach produced 180.91 meters. Consequently, the SLP method achieved an 18.16% reduction in material handling distance, making it a more optimal alternative compared to the other method. 

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