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Jurnal Optimalisasi
Published by Universitas Teuku Umar
ISSN : 24775479     EISSN : 25020501     DOI : https://doi.org/10.35308/jopt
Core Subject : Engineering,
Control & Systems Engineering Industrial & Manufacturing Engineering
JURNAL OPTIMALISASI (JOPT) merupakan jurnal elektronik online yang diterbitkan oleh Program studi Teknik Industri, Fakultas Teknik, Universitas Teuku Umar. JOPT memuat kajian dibidang Manufaktur, Ergonomi dan Manajemen Rantai Pasok. Tujuan penerbitan jurnal optimalisasi adalah sebagai wadah publikasi yang mewadahi kebutuhan peningkatan kualitas karya ilmiah dalam rangka pengembangan keilmuan dan menyebarluaskan kajian bidang ilmu Teknik Industri, sekaligus sebagai wahana komunikasi diantara cendekiawan, praktisi, mahasiswa dan pemerhati masalah Industri. JOPT terbit dua kali dalam setahun, tepatnya pada bulan April dan Oktober. Bagi pembaca, penulis, dan yang melakukan akses situs jurnal yang ingin submit naskah ke jurnal ini, silakan mendaftar sebagai author kemudian login untuk submit naskah. Informasi penulisan dan submit naskah dapat diakses di author guidelines dengan mengikuti pentunjuk di situs jurnal.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 259 Documents
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Pengaruh Beban Kerja Mental Terhadap Kinerja Kurir Menggunakan Metode NASA-TLX Maulana, Riza Anta; Nurmalawati, Nurmalawati; Zeki, Muhammad; Yusnawati, Yusnawati; Nadya, Yusri; Dewiyana, Dewiyana; Muzakir, Muzakir
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.13368

Abstract

PT. Global Jet Express (J&T Express) operates as a last-mile delivery logistics provider serving the delivery of documents and commercial packages in the Langsa City area, Aceh. Initial findings from in-depth interviews revealed that couriers frequently experience symptoms of mental fatigue, such as prolonged lethargy, mild dizziness, musculoskeletal pain, and a decrease in intrinsic motivation, particularly at the end of their shifts. This study aims to analyze the influence of mental workload on the operational performance of couriers, while simultaneously measuring workload levels using the NASA-TLX (National Aeronautics and Space Administration Task Load Index) instrument, which has been tested for validity and reliability in the context of cognitive-physical load assessment. Although subjective, this method allows for relative quantification and comparison between individuals across six dimensions of work pressure: Mental Demand, Physical Demand, Temporal Demand, Performance, Effort, and Frustration. Pearson correlation results showed a coefficient of r = -0.212 (p < 0.05), indicating a weak but statistically significant negative relationship between the average Weighted Workload (WWL) scores and delivery performance (number of packages per day). These findings reinforce the hypothesis that increased mental pressure contributes to a decline in operational efficiency, though it is not proportionally dominant. The distribution of NASA-TLX scores showed a dominance in the "High" category (24 couriers, 50–79) and two cases in the "Very High" category (81.33 and 82.67), with no couriers falling into the "Moderate" or "Low" categories.This confirms that mental workload is a systemic issue within daily operations rather than a mere individual variation.
Perbandingan Metode Single Exponential Smoothing dan Regresi Linier untuk Peramalan Persediaan Omeprazole Injeksi 40 mg di RS XYZ Sabrina, Nur Irhamni; Rahmawati, Sri; Handayani, Dwi
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.14960

Abstract

An important factor in ensuring the quality of health services is the availability of drugs in hospitals. Delays in planning drug supply can cause shortages or excess of goods that affect patient services and consequently become very high operational costs. Omeprazole 40 mg is a drug that is often used in hospitals. This study aims to analyze and compare the accuracy of the Single Exponential Smoothing (SES) method with Linear Regression in predicting the need for 40 mg injection drugs with Omeprazole, for the purpose of planning drug supplies in hospitals. This study used a descriptive quantitative approach using secondary data, namely historical data on the monthly requirement of Omeprazole injection 40 mg at Hospital XYZ. Forecasting was carried out for three months using the Single Exponential Smoothing and Linear Regression methods. The accuracy of both forecasting methods is based on the Mean Absolute Deviation (MAD), Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE) indicators. The Single Exponential Smoothing method is the method with the highest error, with MAD being 104.76, MSE being 14.748 and MAPE being 68.89%. Therefore, the Linear Regression method is reported to be the best, with MAD being 42.07, MSE being 3.336 and MAPE being 46.77%, as it is able to capture drug demand trend patterns. Therefore, the time of use in planning the supply of 40 mg injectable Omeprazole to support the deployment in hospitals can be more effective and low-cost.
Sistematik Review: Meta-Analisis Beban Kerja Karyawan dan Upaya Penanggulangannya Widarta, Fajar Okta; Ulhaq, Riza; Putra, Gaustama
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.14023

Abstract

Employee productivity and workload are closely correlated. Employees are frequently physically and psychologically burdened by high goals and unfavorable working conditions. Industry participants and business actors must be aware of these problems and the steps that can be taken to solve them. In order to help business actors and industry participants solve connected issues, this study attempts to compile a variety of research findings on employees' physical and mental pressures and attempts to overcome them. The Publish or Perish 8 program was used to collect data via meta-analysis. The Google Scholar database was used to compile articles published between 2022 and 2024. Data collecting, data reduction, data presentation, and conclusion-drawing were the phases of the meta-analysis that produced 34 papers. According to the survey, employees' mental workload problems were more common than their physical workload. The issue of employee workload can be resolved by routinely assessing employee workloads to ascertain when hiring more personnel is required, upholding a safe and comfortable workplace, allocating workloads equitably, supplying sufficient personal protective equipment, and paying all employees appropriately
Optimasi Penjadwalan Preventive Maintenance Komponen Boiler Menggunakan Genetic Algorithm dengan Strategi Grouping Azhar, Azhar; Pamungkas, Iing; Irawan, Heri Tri
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.14909

Abstract

Operational reliability of Boilers in Steam Power Plants (PLTU) is often undermined by reactive and fragmented maintenance strategies that trigger frequent unplanned shutdowns and operational inefficiencies. This study aims to optimize preventive maintenance schedules for nine critical Boiler components in Units 1 and 2 of PLTU Nagan Raya using a Genetic Algorithm-based Grouping Maintenance strategy. Failure behaviour of components such as Cyclone Separators, Coal Feeders, and Fans is first modelled using Weibull and Normal distributions, selected through the Anderson–Darling goodness-of-fit test. An optimization model is then developed to determine a single global maintenance interval that maximizes operating time while satisfying a minimum system reliability constraint of 60%. Simulation of individual component scheduling yields highly non-synchronized intervals, ranging from 14 to 78 days, which would result in excessive shutdown frequency if implemented directly. Through Genetic Algorithm optimization, an optimal grouped maintenance interval of 10.42 days is obtained, driven primarily by the Primary Air Fan as the system bottleneck. Although this interval sacrifices part of the remaining life of more durable components, the grouped strategy significantly reduces the total number of shutdowns and simplifies maintenance planning. The main contribution of this study is a reliability-constrained grouped maintenance scheduling model for multi-component boiler systems in coal-fired power plants, providing a practical decision-support tool for improving unit availability.
Integrasi Six Sigma (DMAIC) dan Metode Taguchi untuk Optimasi Parameter Proses dan Reduksi Defect pada Produksi Aluminium Foil Sinaga, Zulkani; Muhazir, Achmad; Rukmayadi, Dede; Putra, Afgan Sandy
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.15026

Abstract

The high defect rate in aluminium foil production can reduce production efficiency and product quality. This study aims to analyze the main causes of defects and determine optimal process parameters to improve aluminium foil production quality. The research applies the Six Sigma approach through the DMAIC (Define, Measure, Analyze, Improve, Control) framework combined with the Taguchi method for process parameter optimization. In the measurement stage, the process capability analysis shows a Defects per Million Opportunities (DPMO) value of 85,084 with a sigma level of 3.116, indicating that the process performance is still at a moderate capability level. Root cause analysis using fishbone diagrams and Failure Mode and Effect Analysis (FMEA) identifies temperature and machine speed as the dominant factors affecting defect occurrence. Furthermore, Taguchi experimental design using an L9 orthogonal array is applied to determine the optimal parameter combination. The results show that the optimal parameters are a temperature of 154 °C and a machine speed of 250.208 m/min. The implementation of these parameters reduces defect levels, where the DPMO decreases to approximately 55,304 and the sigma level increases to about 3.35, indicating an improvement in process capability and stability. This improvement is also supported by the control chart results, which show that the process is within statistical control limits after improvement. Therefore, the integration of Six Sigma and Taguchi methods is proven effective in reducing defects, improving process capability, and enhancing the overall quality of aluminium foil production.
Pengukuran Kinerja Rantai Pasok Berbasis Model SCOR Menggunakan Metode OMAX-TLS di Industri Pembuatan Kemasan Produk Arisandhy, Vivi; Liputra, David Try; Suhandi, Victor; Widjaja, Yonathan Yehezkiel; Suwandi, Nadia Natalia
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.13877

Abstract

Industrial development in the era of globalization is progressing very rapidly and is accompanied by increasing competition between companies. To maintain high competitiveness in meeting market needs, a company's operational performance must continue to improve. Research on measuring supply chain performance has been widely conducted. However, research using a combination of the SCOR model and the Objective Matrix (OMAX) and Traffic Light System (TLS) method is still limited. Therefore, in this study, a combination of the Supply Chain Operations Reference (SCOR) model with the OMAX-TLS methods will be used to measure the supply chain performance of a product packaging company. This study uses the SCOR model with weights from the Analytical Hierarchy Process (AHP) and then measures it with OMAX and TLS for performance evaluation in product packaging companies. Performance measurement is needed to improve supply chain performance. Data processing uses 29 performance indicators to measure supply chain performance. The results obtained are supply chain performance at 6.826, indicating Good performance. Indicators with a score below 3 are included in the Poor category. There are two performance indicators in the Poor category, twenty in the Good category, and seven in the Very Good category. Performance indicators that require significant improvement are indicators that fall into the Poor category.
Optimalisasi Proteksi Tanaman Padi melalui Perancangan Alat Pengusir Burung Otomatis Berbasis Arduino ATmega2560 dan Solar Panel Irawan, Heri Tri; Satya, Rahmat; Nasution, Roid Alazhar; Pamungkas, Iing
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.14687

Abstract

Bird pests such as sparrows, weavers, munias, and finches pose a serious problem for rice farmers, particularly during the generative growth stage when ripening panicles are easily consumed, causing yield losses of up to 30–50% and threatening food security. Traditional deterrent methods, including scarecrows, noise-making devices, and firecrackers, provide only temporary effects with limited coverage and require repetitive manual supervision that is both exhausting and inefficient. This study aims to design and develop an automatic bird repellent device based on sensors and a microcontroller, powered by an independent solar panel system, to protect rice crops effectively without continuous human monitoring. The research adopts a stepwise prototype development approach consisting of planning (designing a steel-pipe frame and selecting components such as an Arduino ATmega2560, HC-SR04 ultrasonic sensor, PIR sensor, tweeter speaker, 50 Wp solar panel, and 12 V 8 Ah battery), production (hardware assembly and Arduino C programming), testing (sensor–sound functionality and field operation), and performance evaluation through analysis of detection data and reduction in bird attacks. The results show that the device operates stably, with PIR detection up to 11 m, ultrasonic detection from 1–4 m, audiosonic output at 4069 Hz (84–91 dB), an effective repulsion radius of 14 m, and a reduction in bird attacks of about 90% (from 100 events to 3 events over six days), all using stand-alone solar energy without significant disturbances. The system is environmentally friendly, weather-resistant, and has the potential to improve rice farming productivity, with further recommendations including optimization of sensor positioning and enhanced protection against extreme weather conditions.
Identifikasi Dampak Limbah B3 Terhadap Area Operasional di PT PLN Nusantara Power Unit Pembangkitan 1 & 2 Nagan Raya Basuki, Mahmud; Zainuddin, Zainuddin; Pandria, T.M. Azis; Ulfah, Tya; Ridha, Arrazy Elba; Irawan, Risnadi
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.14766

Abstract

Hazardous and Toxic Materials (B3) waste management is an important aspect in the operation of the electricity generation industry because it has the potential to cause negative impacts on the environment and worker health. PT PLN Nusantara Power Unit Pembangkitan 1 & 2 Nagan Raya as the operator of the Steam Power Plant (PLTU) produces various types of B3 waste such as used oil, chemical packaging, used resin, used rags, and chemically contaminated waste. This study aims to identify the types and characteristics of B3 waste, analyze the B3 waste management system, and evaluate the impact of B3 waste on the operational area. The research methods used include field observation, interviews with environmental staff, documentation studies, and literature studies. The results of the study indicate that the B3 waste produced has been managed through sorting, packaging, labeling, storage in Temporary Storage Areas (TPS), and transportation by licensed third parties. However, potential impacts on the environment and occupational safety can still occur if there are leaks, delays in transportation, or non-compliance with operational procedures. Identified impacts include the potential for soil and water pollution, the risk of exposure to hazardous materials for workers, and the potential for disruption to equipment performance. This research is expected to be the basis for evaluation and continuous improvement in the management of B3 waste in the electricity generation industry to support the principles of sustainability and compliance with environmental regulations.
Perancangan Line Produksi Perusahaan Manufaktur Otomotif Melalui Implementasi 5S dalam Upaya Peningkatan Kapasitas Produksi Menggunakan Metode Eight Steps Sutedi, Haryo; Chrisnaputra, Constantius; Zahabiyah, Rifdah
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.13625

Abstract

Automotive Manufacturing Industries is an American-based manufacturing company specializing in the production of automation instruments that support scientific research in proteomics and genomics. The company faces a production challenge in increasing the Manufacture Company line output from two to three units per month to meet the target set by Manufacturing Corp. USA. The primary issue identified is the lack of standardized work processes, particularly in the arrangement of tools and components, which leads to inefficiency and reduced productivity. This study aims to establish standardized work procedures to enhance operational efficiency and production capacity. The research adopts the Eight Steps methodology integrated with the 5S approach (Seiri, Seiton, Seiso, Seiketsu, Shitsuke). The improvement initiatives include reorganizing tools and components using toolboxes and trolleys, implementing labeling systems, and developing Standard Operating Procedures (SOPs). The results demonstrate a substantial improvement in production performance, with assembly time per unit reduced from 106 hours to 61 hours, representing a 57% reduction. Additionally, an operator satisfaction survey indicates a 94% success rate of the implemented improvements. The findings confirm that the application of the 5S method effectively enhances production capacity, achieves target performance, and resolves operational inefficiencies.

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