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Tibuana : Journal of Applied Industrial Engineering
Published by Universitas PGRI Adi Buana Surabaya
ISSN : 26222027     EISSN : 26222035     DOI : https://doi.org/10.36456/tibuana.9.02
Core Subject :
The aim of this journal publication is to disseminate the conceptual thoughts or ideas and research results that have been achieved in the area of industrial engineering Tibuana : Journal of Applied Industrial Engineering particularly focuses on the main problems in the development of the sciences of industrial engineering areas as follows: 1. Applied of industrial process 2. Applied methods of production process 3. Applied managerial of production process
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Articles 250 Documents
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Engineering Design and Ergonomic Evaluation of an Assistive Device for Manual Material Handling Nasution, Andri Rachmat Kumalasian; Ramadhanti, Ledina; Fauziah, Anisa; Puspita, Hermita Dyah
Tibuana Vol 9 No 02 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.02.11149

Abstract

Manual material handling (MMH) remains a major contributor to work-related musculoskeletal disorders in manufacturing environments. This study proposes and evaluates an assistive device for box panel handling aimed at reducing ergonomic risk during lifting and transport operations at PT. XYZ. A case-study approach was employed using multiple ergonomic assessment methods, including the Nordic Body Map (NBM), Rapid Entire Body Assessment (REBA), the Revised NIOSH Lifting Equation (RNLE), and the Snook Tables. Baseline results indicated dominant lower-back (77%) and upper-back (71%) complaints, a high-risk REBA score of 12, low recommended weight limits (4.46–4.91 kg), and excessive lifting indices (5.50–6.05) for a maximum load of 37 kg. The Snook analysis yielded a maximum acceptable weight of 13.0 kg with a load-to-MAW ratio of 1.38. A trolley-based assistive device integrating lifting and transfer support was then designed to minimize trunk flexion and eliminate manual carrying during transport. Post-intervention evaluation showed substantial improvements, with the REBA score reduced to 1, lifting indices below unity, and the load-to-MAW ratio approaching zero. These results demonstrate that engineering controls in the form of practical assistive devices can effectively reduce ergonomic risk and improve manual material handling safety in industrial settings.
Applied Lean Warehousing-Based Optimization of Warehouse Processes at PT. XYZUsing Value Stream Mapping Rahmawati, Nur; Rahmawati, Dea; Ramadhan, Rahandi Aliftyant
Tibuana Vol 9 No 1 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.1.11156

Abstract

Incoming warehouse operations are essential for maintaining material readiness in manufacturing systems. In practice, inefficiencies within these operations may increase lead time and generate activities that do not contribute to value creation. This study focuses on enhancing the performance of the incoming warehouse process at PT. XYZ through the application of lean warehousing supported by Value Stream Mapping (VSM). The study was carried out by examining the actual condition of receiving, recording, and storage activities using direct observation, time measurement, and process mapping. All identified activities were categorized according to their contribution to value creation. Process performance was assessed using Process Cycle Efficiency (PCE) to quantify the ratio of value-added time to total lead time. The results indicate that the existing incoming warehouse process required 296 minutes to complete, with a PCE of 74.66%, reflecting the presence of non-value-added activities, particularly related to waiting and unnecessary movement. Improvement actions were then formulated using future state value stream mapping and workplace organization. The proposed future condition reduced the total lead time to 273 minutes and increased the PCE to 80.95%. These findings show that lean warehousing implementation can effectively improve process efficiency by reducing non-value-added activities in incoming warehouse operations. The study provides practical insight for manufacturing companies seeking to improve inbound warehouse performance through structured waste reduction initiatives.
Optimization Of Packing Material Inventalory Using ABC Analysis, Forecasting Methods, and Economic Order Quantity Pamolango, Marchello; Dewantoro, Albertus Daru
Tibuana Vol 9 No 02 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.02.11344

Abstract

Inventory management of packing materials in the flexible packaging industry often faces high investment value, inaccurate demand planning, and inefficient ordering quantities. This study aims to determine material priorities and optimal order quantities to minimize total inventory costs through an integrated approach. The methodology combines ABC Analysis for material classification, forecasting methods (Simple Average, Moving Average, Weighted Moving Average, and Single Exponential Smoothing) to predict demand, and Economic Order Quantity (EOQ) to determine optimal purchasing quantities. The results show that PLY material is categorized as class A with an investment contribution of 64.53%. Among forecasting methods, the 3-period Weighted Moving Average provides the best accuracy with the lowest MAPE value of 15.81%. EOQ calculations indicate optimal order quantities of 15,849 units for Plywood Multi 0280x0280x09 dia 77 and corresponding optimal quantities for other PLY materials. The integration of ABC, forecasting, and EOQ improves inventory efficiency and supports more reliable production planning.
Evaluation of Measurement Instruments Using Fuzzy FMEA and MSA/GRR for Determining Calibration Intervals Asti Ningrum, Vinanda; Bambang Syairudin
Tibuana Vol 9 No 02 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.02.11482

Abstract

Laboratory testing instruments are critical for ensuring accurate measurement results and maintaining product quality. Failures or performance decline in these instruments may affect testing reliability. This study evaluates potential instrument failures using Fuzzy Failure Mode and Effects Analysis (Fuzzy FMEA) and assesses measurement system capability via Measurement System Analysis (MSA) with Gage Repeatability and Reproducibility (GRR). Five instruments Thickness Gauge, Roughness Tester, Tensile Tester, Density Tester, and Chromium Analyzer were analyzed. Fuzzy FMEA results show the Roughness Tester has the highest Fuzzy Risk Priority Number (FRPN = 8.93), followed by the Chromium Analyzer (8.20), Tensile Tester (6.40), Thickness Gauge (5.47), and Density Tester (3.33). Historical data validate that higher FRPN values correspond to more frequent operational failures. GRR analysis indicates all instruments maintain acceptable measurement system performance (%GRR < 30%). Based on these findings, calibration intervals are recommended according to risk level and system stability, promoting efficient calibration management and reliable testing results.
Integrated ABC–VED–AHP Framework for Prioritizing Returned Materials in Electricity Transmission Warehouse Management Adianto, Muhammad Dias Rizal; Arvitrida, Niniet Indah
Tibuana Vol 9 No 02 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.02.11512

Abstract

Returned materials in electricity transmission warehouses represent ex-operational assets that may still contain economic value and operational utility. However, their accumulation can reduce warehouse efficiency, increase storage burden, and delay asset recovery decisions. In PT PLN (Persero) transmission warehouses, warehouse capacity utilization reached an average of 93.29%, exceeding the recommended operational threshold, with several warehouses experiencing overcapacity conditions. Existing classification practices remain administrative and do not provide a systematic basis for determining whether materials should be retained, repaired, reused, transferred, or disposed of. This study proposes an integrated multi-criteria decision framework for prioritizing returned materials by combining ABC analysis, VED analysis, physical condition assessment, reuse potential evaluation, and the Analytic Hierarchy Process (AHP). The framework was applied to 580 returned material items with a total replacement value of IDR 256,057,003,073. The AHP results show that operational criticality is the most influential criterion with a weight of 0.5342, followed by physical condition, economic value, and reuse potential. The consistency ratio was 0.0455, indicating consistent expert judgment. The final prioritization classified 397 items as high priority, 116 items as medium priority, and 67 items as low priority. The proposed framework supports more objective, transparent, and data-driven decision-making in returned material management and contributes to warehouse space optimization, dead stock reduction, and asset recovery improvement in electricity infrastructure systems.
Operational Risk Analysis and Prioritization of Mitigation Strategies in the Production Process of Processed Sweet Potato Products at Ummah Cookies Anita, Anita; Rakhmawati, Ismi Yayuk Rakhmawati
Tibuana Vol 9 No 02 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.02.11518

Abstract

The development of the local food industry in Indonesia faces challenges due to the increasing dominance of modern and imported food products, which have caused local food-based processed products to be increasingly marginalized. Ummah Cookies, as a local food processing MSME based on sweet potatoes and cassava, still faces various operational risks that have the potential to affect product quality and the stability of the production process. This study aims to analyze operational risks and determine risk mitigation strategies in the production process of sweet potato processed products at Ummah Cookies. The method used in this study is a combination of Failure Mode and Effects Analysis (FMEA) and Analytical Hierarchy Process (AHP). The FMEA method is used to identify and prioritize risks based on Severity, Occurrence, and Detection values ​​through the calculation of the Risk Priority Number (RPN), while the AHP method is used to determine the priority of risk mitigation strategies. The results of the study showed that the highest risk in sweet potato brownies products was at the production stage in the form of the emergence of a strong sweet potato aroma with an RPN value of 330. Meanwhile, in sweet potato porridge products the highest risk was at the post-production stage in the form of products that spoil quickly during storage with an RPN value of 342. The results of the AHP analysis showed that the priority of risk mitigation in sweet potato brownies lies in the production aspect with an eigenvector value of 0.61, while in sweet potato porridge it lies in the post-production aspect with an eigenvector value of 0.49. Recommended risk mitigation strategies include controlling the quality of raw materials, controlling the temperature and cooking process, implementing production SOPs, and optimizing product storage and packaging systems. The implementation of these strategies is expected to be able to maintain product quality stability, increase production process efficiency, and minimize potential losses in local food MSMEs.
Production Process Quality Improvement In Ice Cream Manufacturing Using Integrated Pareto Chart and 5M1E Fishbone Diagram Nurrochmad Ismail, Rizky; Hatta, Mochammad; Susiati, Devi; Johan, Dasman; Arifin, Nofri Yudi; Tjahjani, Ida Kusnawati
Tibuana Vol 9 No 02 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.02.11584

Abstract

The research object is the ice cream production process at PT Sejuk Abadi Nusantara, using production and quality-control records from January to June 2024. From 29,530 produced units, 630 defective units were identified, representing a defect rate of 2.13%. Pareto analysis indicated four vital few defects contributing 79.21% of total defects: non-uniform texture, excessive moisture content, uneven color, and non-standard portion size. A 5M1E Fishbone Diagram and 5-Why verification showed that dominant root causes were associated with machine, method, measurement, and human factors, especially freezer-temperature sensor drift, worn freezer gaskets, inconsistent hardening time, weak mixing standard operating procedures, and insufficient operator training. A corrective and preventive action plan was proposed, covering sensor calibration, freezer maintenance, hardening standardization, visual work instructions, operator training, moisture testing, environmental monitoring, and monthly calibration. The proposed actions are projected to reduce total defects from 630 to 222 units per semester, or 64.8%. The study demonstrates how integrated Pareto-Fishbone analysis can transform quality-control records into operational process-improvement decisions for frozen-food manufacturing.
Optimization of Production Processes in Micro, Small and Medium Metal Enterprises (SMEs Metal) using Fuzzy-Kano, QFD and SPC Methods: a Systematic Literature Review Prihono; Febryanto, Indra Dwi; Utomo, Yitno
Tibuana Vol 9 No 02 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.02.11607

Abstract

Micro, Small, and Medium Enterprises (MSMEs), particularly in the metal industry, play a pivotal role in Indonesia’s economic development but face significant challenges in maintaining product quality, reducing defects, and responding to customer needs. This study conducts a Systematic Literature Review (SLR) to investigate the integration of Fuzzy-Kano, Quality Function Deployment (QFD), and Statistical Process Control (SPC) methods as a comprehensive approach for optimizing production processes in metal MSMEs. The literature was sourced from databases such as Scopus, Crossref, and Google Scholar, yielding 562 records, of which 35 relevant journal articles were analyzed in depth. Findings reveal that while QFD and SPC are frequently applied separately in MSMEs, research integrating these methods with Fuzzy-Kano remains limited. The review highlights that such integration offers substantial potential to improve product quality, align production with customer satisfaction, and enhance decision-making under uncertainty—ultimately supporting sustainable competitiveness. This study also identifies research gaps and proposes future directions, including the development of localized models tailored to SME contexts and the deeper integration of SPC within customer-oriented product development frameworks.
Design of Fermentation Machine With Work System Evaluation Using Fishbone Diagram Method in Surabaya MSMES Cahyono Putra, Andhika; Saputro, Andre Ridho; Kusnanto, Hadi; Estiasih, Soffia Pudji; Adiaksa, Fitrah Thoriq
Tibuana Vol 9 No 02 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.02.11616

Abstract

Tempeh fermentation process in Micro, Small and Medium Enterprises (MSMEs) in Surabaya is generally still carried out conventionally, without the support of tools that are able to control the temperature and fermentation environment stably. Process inefficiencies and product quality irregularities are the main problems that business actors often face. This research aims to design a tempeh fermentation machine based on working system evaluation using the Fishbone Diagram method as an effort to develop appropriate technology. The research method used was descriptive-qualitative with an engineering approach, which included observation, interviews and field studies of three tempeh MSMEs in Surabaya. The results of the Fishbone Diagram analysis show that the main factors causing inefficiency include irregular work methods, lack of technical knowledge, lack of fermentation equipment, and unsupportive working environmental conditions. Based on the results of this evaluation, an MSME scale fermentation machine was designed with automatic temperature control, a capacity of 10–15 kg per batch, and an ergonomic design. Trials show that the machine is able to maintain a stable fermentation temperature, produce tempe products with more consistent quality, and reduce the physical workload of business actors. This research shows that the work systems approach in technology design is able to produce solutions that are contextual, functional and adaptive to the needs of MSMEs. These findings contribute to the development of science and technology in the fields of food technology, work ergonomics, and production equipment innovation based on local needs.
Customer Segmentation in a Campus-Area Convenience Store Using K-Means Clustering Alfani, Musaddad; Qalbi, Putri Aysha
Tibuana Vol 9 No 02 (2026): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.9.02.11641

Abstract

Customer segmentation is an important strategy for understanding differences in customer characteristics and supporting more targeted marketing decisions. In campus areas, convenience store customers generally consist of students with diverse demographic, economic, and accessibility characteristics, resulting in different purchasing behaviors. This study aims to identify customer segments of a convenience store located in the Campus X area of Yogyakarta using the K-Means Clustering algorithm. The study employed a quantitative approach with data mining techniques using customer data from students. The variables analyzed included age, income, shopping intensity, and residential distance from the store. The optimal number of clusters was determined using the Elbow Method before applying the K-Means algorithm. The results identified three customer segments with distinct characteristics. The largest segment consisted of customers living relatively close to the store and exhibiting high shopping intensity, while another segment was characterized by lower purchasing activity and greater residential distance. The smallest segment showed the highest income level and more diverse product preferences. Furthermore, differences in customer characteristics were reflected in product purchasing patterns across the identified segments. These findings indicate that accessibility and economic factors play important roles in shaping customer purchasing behavior in campus-area convenience stores. The results can serve as a reference for developing more targeted promotional and product management strategies.

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