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OPSI
Published by Universitas Pembangunan Nasional Veteran Yogyakarta
ISSN : 16932102     EISSN : 26862352     DOI : https://doi.org/10.31315/opsi
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Jurnal OPSI adalah Jurnal Optimasi Sistem Industri yang diterbitkan oleh Jurusan Teknik Industri UPN “Veteran” Yogyakarta sebagai wahana publikasi hasil karya ilmiah, penelitian rekayasa teknologi di bidang Teknik Industri, Sistem Industri, Manajemen Industri dan Teknologi Informasi.
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Articles 273 Documents
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Design and performance analysis of IoT-based portable waste incinerator for environmental efficiency and marketing Immawan, Taufiq; Rofif , Muhammad Iqbal; Cahyo , Winda Nur; Waskita , Farid Agung; Suryoputro , Muhammad Ragil
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.14734

Abstract

The increasing volume of waste in urban areas such as Yogyakarta is not supported by adequate public awareness or effective waste management systems. This study aims to design and evaluate the performance of an IoT-based portable waste incinerator as an efficient and feasible solution for household and community use. The prototype was developed using an iterative design approach with recycled materials and low-cost IoT components. Test results show that the device maintains a stable combustion temperature of 600–800 °C and achieves an average waste volume reduction of 85%. SO₂ emission levels remain below 120 ppm, meeting environmental safety standards. The IoT monitoring system, using an ESP8266 module and DHT22 sensor, enables real-time tracking of temperature and ash accumulation and provides automatic alerts for maintenance. Financial analysis indicates that production costs can be reduced by approximately 40%, resulting in an estimated unit price below IDR 4,000,000. Market validation across five locations in Yogyakarta shows an 85% interest rate and a satisfaction score of 4.2/5. Overall, the IoT-based portable waste incinerator demonstrates technical reliability, environmental efficiency, and market viability.
Dynamic modeling in environmental planning: A global synthesis of research addressing urban air quality Santoso, Dian Hudawan; Santosa, Sri Juari; Sekaranom, Andung Bayu
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15177

Abstract

This research constitutes bibliometric analysis about the utilization of System Dynamics (SD) in mitigating air pollution. This project aims to investigate the use of system dynamics models in simulating and assessing urban transportation regulations, industrial emissions, and the incorporation of cleaner technology. The applied methodology encompasses a synthesis of current studies and the execution of bibliometric analysis to discern trends, prominent academics, and the most impactful papers in this domain. An exhaustive analysis of the current literature uncovered several significant findings. Investments in public transportation, the introduction of fuel taxes, and the advancement and deployment of sophisticated car technologies are recognized as essential solutions for mitigating air pollution. Case studies from places such Greater Cairo, Kuwait, Tehran, and Mexico City illustrate the efficacy of SD in forecasting long-term environmental consequences and facilitating adaptive policy.This research primarily contributes to the visualisation of the intellectual framework of the research domain, the identification of keyword clusters, and the elucidation of links between topics that may have previously lacked obvious mapping.  This research addresses a methodological deficiency by clearly illustrating how the combination of quantitative bibliometric analysis and systematic review can enhance comprehension of the developmental dynamics within a scientific subject.
Inventory optimization of perishable items using a shelf life-based heuristic approach Nadiah Khairunnisa; Nur Mayke Eka Normasari
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15481

Abstract

This study develops a practical inventory control model for perishable pharmaceutical products by addressing the common limitation of traditional inventory methods that often overlook product shelf life or require complex optimization procedures. The proposed model enhances practicality by integrating shelf-life considerations into the (R, nQ) heuristic approach, allowing order quantities and reorder points to be determined through a simple and easily implementable procedure. This approach is further combined with a multi-criteria ABC classification that incorporates annual demand, lead time, and unit cost, enabling more informed prioritization of inventory items. The model was applied to 243 pharmaceutical products in a health department. The results show that incorporating shelf-life constraints reduced the inventory value of items exceeding their usable period by 45% and generated an overall 2% decrease in total inventory value. These findings demonstrate the model’s ability to minimize waste due to expiration while maintaining operational feasibility. By offering a straightforward and shelf-life–integrated decision rule, the model provides a more practical alternative to existing inventory methods, especially in healthcare settings with limited analytical resources.
A comprehensive usability study of 3D printing slicer software: Integrating SUS, USE questionnaire, and key UX dimensions Wibowo, Astrid Wahyu Adventri; Ismianti, Ismianti; Husaini , Rochmat; Mastrisiswadi , Hasan; Kasih, Puji Handayani; Rahmawati, Keny; Atsani , Sarah Iftin
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15537

Abstract

This study evaluates the usability of three widely used 3D printing slicer software, Ultimaker Cura, IdeaMaker, and PrusaSlicer, at the Engineering Drawing Laboratory of UPN “Veteran” Yogyakarta. A mixed-methods approach was applied, combining the System Usability Scale (SUS) and the USE Questionnaire (Which Assesses Usefulness, Ease of Use, Ease of Learning, and Satisfaction), as well as direct observation of three UX dimensions: learnability, effectiveness, and efficiency. Nine respondents completed seven task scenarios, each with six repetitions. To compare the three software, statistical analysis was conducted using the Friedman test and Wilcoxon post-hoc comparisons. The results showed that Ultimaker Cura consistently achieved the highest SUS and USE scores and demonstrated significantly faster task completion times. The strong alignment between observed performance and user perception supports the validity of the blended evaluation method. This study concludes that Ultimaker Cura is the most user-friendly option for beginners and is well-suited for educational environments. This finding contributes to provide guidance in selecting software and teaching practices in educational laboratories, while also contributing to usability research.
A systematic review insights on integrating augmented reality into surgical training & clinical practice surgery Ismail, Muchammad; Baroroh, Dawi Karomati; Agarwal, Aanchal
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15550

Abstract

Augmented Reality (AR) is increasingly recognized as a key enabler of future healthcare innovation, particularly in advancing medical education, clinical training, and surgical procedures. This study presents a Systematic Literature Review (SLR) of AR integration in the medical domain, analysing 62 peer-reviewed articles from the Scopus database. The review explores five aspects: interaction devices, AR functions, AR impacts, solution validation methods, and medical implementation stages. Results reveal that appearance is the most dominant AR function (41%), followed by procedural guidance in both training and real clinical settings (24% each). Head-Mounted Displays (HMDs) are the most widely used interaction device (67%), offering immersive and real-time visual support. AR integration is most prevalent during the intra-operative phase (44%). Reported AR impacts commonly span multiple dimensions, including enhanced accuracy, effectiveness, efficiency, error, and educational outcomes (37%). Validation methods are primarily based on statistical analysis (40%). This review underscores AR’s growing role in transforming healthcare delivery, medical education, and highlights opportunities for future development in multifunctional AR systems, cost-benefit analyses, and expansion into additional medical subspecialties.
Assessment of disassembly difficulty level of lithium battery pack by integrating Ease of Disassembly Metric (eDiM) and difficulty rating approach Muqimuddin, Muqimuddin; Utomo, Dutho Suh; Farid, Nik Mohd; Armia, Iin; Dimyati, Aufar Fikri; Gunawan, Gad; Zamzani, Muhammad Imron
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15580

Abstract

The demand for batteries is expected to rise in line with the growing need for electric vehicles. As the number of electric vehicles increases, more battery waste will be generated, considering the average battery lifespan is only 10 to 15 years. If batteries are not recycled, this will lead to a significant accumulation of waste. Therefore, it is important to evaluate the ease of battery disassembly. This assessment can help manufacturers design batteries that are easier to disassemble. This study aims to determine the disassembly ease score and provide improvement recommendations using the Ease of Disassembly approach through eDiM and Difficulty Rating. The disassembly process is analyzed using the Ease of Disassembly Metric (eDiM) to evaluate difficulty levels based on standard disassembly operation time, and Difficulty Rating based on the indicators of Accessibility, Positioning, and Force. Based on the analysis results, the most difficult disassembly operations involve removing screws from the top cover, bottom cover, controller circuit, and BMS circuit, as well as detaching the nickel strip. The research findings indicate the presence of disassembly stages with low time values but high preference-based difficulty levels.
From resistance to adoption: A mixed-methods framework for successful manufacturing execution system implementation in digital transformation initiatives Sutra, Debi; Mansur, Agus
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15583

Abstract

This study develops an optimized change-management framework to mitigate Manufacturing Execution System (MES) 3.0 implementation failure by integrating quantitative and qualitative findings from the ADKAR model through a socio-technical lens. Using explanatory sequential mixed-methods design, quantitative data from 248 respondents were analyzed via multiple and moderated regression, followed by in-depth interviews with 10 key stakeholders analyzed in NVivo. The phases were triangulated using a socio-technical framework to identify systemic patterns. Quantitatively, employee resistance significantly moderated the relationship between ADKAR components and implementation failure (β = 0.657, p = 0.040), with awareness (β = −0.778, p = 0.000) and knowledge (β = −0.168, p = 0.012) showing significant negative effects. Qualitative findings revealed five major themes: multidimensional resistance (active 15%, passive 35%, concealed 20%, neutral 30%), ADKAR implementation gaps, systemic contextual factors, and mitigation strategies. Triangulation exposed hierarchical cultural barriers, digital-literacy gaps, and insufficient reinforcement mechanisms. We propose an integrated hexagonal socio-technical model with six components and 24 sub-elements: Goals (4), People (4), Infrastructure (4), Technology (4), Culture (4), and Processes (4) for sustainable MES 3.0 implementation. This study contributes empirical evidence of resistance as a moderator and provides actionable guidance for digital transformation in manufacturing organizations.
Evaluation of overall equipment effectiveness in the bottling line packaging process: A case study of the beverage company Tampubolon, Jusra
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15590

Abstract

The effectiveness of equipment on the bottling packaging line greatly determines throughput and quality in the high-capacity beverage company. Overall Equipment Effectiveness (OEE) is commonly used to assess performance and map sources of loss. This study evaluates beverage company bottling line using OEE and six big losses based on weekly data from weeks 14–26, including production output (good, reject, total), available time, planned downtime, and unplanned downtime. OEE components were calculated (Availability–Performance–Quality) and decomposed into breakdown, setup & adjustment, idling & minor stoppages, reduced speed, and defect. The results showed an average OEE of 69.35% (68.03–70.79%) with availability at 97.9%, performance at 70.9%, and quality at 99.9%. The dominant loss was reduced speed (≈28.48% of loading time), while setup & adjustment was 0.95%, breakdown 0.89%, idling & minor 0.24%, and defect 0.0895%, which were relatively small. The findings confirm performance as the main constraint; improvements are directed at stabilizing the Filler speed (pacemaker), line balancing & buffering, controlling micro-stops, and predictive maintenance of critical points. Improving performance is projected to be the most effective way to bring OEE closer to the 85% benchmark without compromising quality.
Developing stakeholders in the circular supply chain of EV batteries: Initiate strategy Ramadhan, Iqbal; Purwani , Annie
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15631

Abstract

The significant increase in the number of electric vehicles has led to the accumulation of used battery waste. This waste has the potential to pollute the environment, so a solution in the form of battery recycling (repair, refurbishment, reuse) is needed. However, this effort is hampered by the availability of workshops capable of recycling electric batteries. This study aims to identify and analyze the factors that influence repair shops' intentions to recycle electric batteries. These factors were collected through an open questionnaire classified based on the PESTEL framework, then the weight of each factor's importance was determined using the AHP method to formulate the initiation of electric vehicle battery recycling growth. The study prioritized the factors contributing to repair shops' intention to recycle batteries as follows: economic, technological, social, and environmental factors. The order of priority of these factors was then formulated as an initiation strategy: developing technological infrastructure and training, providing green certification, tax breaks and financial support, producer responsibility policies, and building partnerships. This research makes an important contribution to initiating strategies to address electric vehicle battery waste through a systematic approach in Indonesia.
Development of a real-time plastic waste detection system based on deep learning to support the automation of industrial waste sorting processes Listyalina, Latifah; Sarisky, Mario; Arifin, Uma Fadzilia; Utarianingrum, Ratna; Chandra, Hekin Irfan
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15682

Abstract

The accumulation of plastic waste has become one of the major environmental issues in Indonesia, where conventional waste management systems are still limited in handling and classifying various types of waste. This research aims to develop an automatic waste detection system using Artificial Intelligence (AI) and implement it in a mobile application capable of identifying plastic waste in real time. The model was trained using the WasteIn dataset, which contains annotated images of different waste categories, including plastic, paper, glass, metal, organic, and electronic waste. The YOLO11-Nano architecture was applied due to its lightweight structure and efficiency for mobile-based deployment. The trained model was then converted into TensorFlow Lite (TFLite) format and integrated into an Android Studio environment to enable real-time inference through smartphone cameras. Based on the evaluation of 36 test images, the system achieved an accuracy of 91.67%, with consistent performance in detecting plastic, paper, and organic waste. The inference time of less than 100 milliseconds per frame demonstrates the system’s feasibility for real-time mobile applications. The results indicate that the integration of deep learning and computer vision technologies can effectively support waste classification processes and contribute to sustainable waste management practices.

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