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Redaksi INDUSTRIKA : JURNAL ILMIAH TEKNIK INDUSTRI Fakultas Teknik Universitas Tulang Bawang (UTB) Lampung Jl. Gajah Mada. No. 34 Kotabaru, Bandar Lampung 35121 Tel / fax : (0721) 252 686 / (0721) 254 175
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INDONESIA
Industrika : Jurnal Ilmiah Teknik Industri
Published by Universitas Tulang Bawang
ISSN : 27764745     EISSN : 25795732     DOI : https://doi.org/10.37090/indstrk.v5i1
Core Subject : Economy, Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering
INDUSTRIKA is a research journal which facilitates the publication of scientific articles in the field of Industrial Engineering. The published articles in INDUSTRIKA can be the result of research and literature review. Some of the topics are including: Business and strategy; decision analysis Engineering economy; Environmental issues Facility location; layout; design; materials handling Forecasting; production planning/control Human factors; ergonomics; safety Human resources management ICT and information systems Innovation; knowledge management; organizational learning Inventory; logistics; transportation; Manufacturing; control; automation Product/process design and management Project/operations management; Service systems/management; modeling/simulation
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 416 Documents
 38   39   40   41   42 
Analisis OEE (Overall Equipment Effectiveness) dan Six Big Losses dalam Menilai Efektivitas Mesin CNC Pada Proses Produksi PT DEF Tantan Tandiansyah; Melinda Cryselia Maysandi Limbong; Sulaksono Mahesa Putra; Tiaradia Ihsan
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/gvxcq711

Abstract

This research is motivated by initial findings indicating that the Computer Numerical Control (CNC) machines at PT DEF exhibit various operational inefficiencies, including high downtime, unstable production speed, and an increased number of defective products. These conditions suggest that machine effectiveness is not yet optimal and may negatively affect productivity while increasing operational costs. Therefore, this study aims to evaluate the level of Overall Equipment Effectiveness (OEE) and identify the categories of the Six Big Losses that contribute most significantly to the decline in machine performance. The study was conducted through the calculation of OEE components (availability, performance, and quality) and an analysis of the Six Big Losses based on direct observations, interviews with operators, and production data from January to March 2025. The results indicate that the average OEE value of  82,98% remains below the international standard of 85%. The largest losses originate from Breakdown Losses at 38% and Idling & Minor Stoppages at 20%, followed by Reduced Speed and Defect in Process, each contributing 12%. These findings demonstrate that machine reliability and production process stability are the dominant factors requiring improvement. Accordingly, strengthening preventive maintenance and optimizing operational parameters are recommended to enhance production effectiveness. Keywords: CNC Machine, Overall Equipment Effectiveness, Preventive Maintenance, Six Big Losses
Model Integrasi Green Productivity dalam Optimalisasi Pengolahan Limbah dan Produktivitas Berkelanjutan Industri UMKM Tahu Samarinda Ida Rosanti; Andrew Stefano; Purbawati Purbawati
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/k8hdtd31

Abstract

The tofu Micro, Small, and Medium Enterprise (MSME) sector constitutes a vital agro-industrial component that significantly contributes to food security and local economic development. Nevertheless, its sustainability remains constrained by inefficient resource utilization and suboptimal waste management practices. This study aimed to develop an integrated Green Productivity–Fishbone Diagram model to optimize waste management while enhancing sustainable productivity in tofu MSMEs in Samarinda, Indonesia. A descriptive quantitative approach was employed through field observations, structured interviews, documentation, and direct measurements. Productivity performance was assessed using Key Performance Indicators (KPIs), whereas environmental performance was evaluated through the Environmental Performance Indicator (EPI). The findings revealed a production capacity of 1,650 units per month, a financial productivity index of 1.1165, and an improvement in productivity from 104.9% to 107.4%. A multi-stage filtration system utilizing coconut shell activated carbon effectively reduced COD concentrations from 1,449.162 to 213.945 mg/L and BOD from 136.79 to 135.50 mg/L, achieving removal efficiencies of 85.24% and 0.95%, respectively, while increasing pH from 3.68 to 6.59, thereby complying with the applicable wastewater quality standards. The proposed model substantially improves resource efficiency, strengthens environmental performance, and supports the implementation of circular economy principles for sustainable tofu MSME development. Keywords: Activated Carbon ; Environmental; Fishbone Diagram, Green Productivity, Sustainable productivity
Real-Time IoT-Based Production Output Monitoring on High Pressure Die Casting Machine Using Patlite System Muhammad Nashiruddin; Susanti Sundari
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/ge1vg003

Abstract

The aluminum High Pressure Die Casting process requires accurate real-time production monitoring to improve productivity, quality, and equipment efficiency. However, many die casting facilities still rely on manual production recording, causing reporting delays, recording errors, and limited operational visibility. This study develops an Internet of Things (IoT)-based production output monitoring system by integrating Patlite signals with a  DC350 High Pressure Die Casting machine. The system uses ESP32 microcontrollers, MQTT communication, and a web-based dashboard to automatically record machine status, shot count, production output, cycle time, downtime, and Overall Equipment Effectiveness (OEE). Experimental validation achieved 98.4% machine status detection accuracy, 99.2% production output accuracy, and 0.98-second communication latency. The system reduced manual recording time by 87%, improved production transparency and data reliability, and supported Industry 4.0 implementation in aluminum die casting manufacturing. Keywords: High Pressure Die Casting, Patlite, IoT, Production Monitoring, Smart Manufacturing
Pengukuran Overall Equipment Effectiveness untuk Optimalisasi Kinerja Shiploader di Industri Batubara Aam Wahyu Pratama; Suharto Suharto; Putri Endah Suwarni; Susanti Sundari
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/x34ky296

Abstract

PT X in Lampung uses a Shiploader as the primary equipment for coal loading operations; however, the high level of downtime has resulted in suboptimal operational effectiveness. This study aims to identify the factors contributing to the low effectiveness of the machine and propose improvement recommendations. The methods employed include Overall Equipment Effectiveness (OEE), Six Big Losses, Fishbone Diagram, and the 5W+1H approach. The results indicate that the average OEE value was 76%, which is below the World Class OEE standard of 85%, with an Availability of 90%, a Performance Rate of 85%, and a Quality Rate of 99%. The Six Big Losses analysis revealed that Reduced Speed Losses accounted for the highest loss at 15.62%, while Equipment Failure Losses were the primary cause of downtime, with a total breakdown time of 4,141 minutes or 13.6%. Improvement recommendations include implementing scheduled preventive maintenance, conducting routine inspections of the oil cooler system, using spare parts that comply with manufacturer specifications, enhancing operator competence through regular training, ensuring compliance with Standard Operating Procedures (SOP), and performing periodic evaluations to improve Shiploader reliability and increase the OEE value. Keywords: Availability, Downtime, Overall Equipment Effectiveness (OEE), Performance, Shiploader
Optimalisasi Proses Penanganan Penumpukan Batupack untuk Mengurangi Pemborosan di Industri Batubara melalui Pendekatan Value Stream Mapping (VSM) Berry Eka Putra; Putri Endah Suwarni; Dita Meliana; Susanti Sundari
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/4pjygd83

Abstract

The batupack handling process still experiences waste that results in prolonged processing time, excessive fuel consumption, and increased operational downtime. This study aims to identify the sources of waste, analyze their root causes, and evaluate process efficiency using the Lean Manufacturing approach through Value Stream Mapping, Process Activity Mapping, VALSAT, and Fishbone Diagram. The findings indicate that the dominant types of waste are transportation, waiting, and motion. The proposed improvements successfully reduced the cycle time from 313 minutes to 130 minutes and the lead time from 468 minutes to 153 minutes, increased Value Added activities from 20% to 78.4%, and reduced Non-Value Added activities from 41% to 2%. In addition, the improvements decreased operational downtime from 23.17 hours to 1.83 hours per month, reduced diesel fuel consumption from 4,716.61 liters to 1,061.23 liters per year, increased production potential by 85,360 tons annually with an additional profit of IDR 94.49 billion, and lowered CO₂, SOx, and NO₂ emissions. These findings demonstrate that the proposed approach effectively improves operational efficiency while supporting the sustainability of the material handling process. Keywords: Fishbone Diagram, Lean Manufacturin, Process Activity Mapping, VALSAT,  Value Stream Mapping, Waste. 
Analisis Total Productive Maintenance pada Mesin Egroll Jagung Menggunakan Metode Overall Equipment Effectiveness (OEE) di PT XYY Agus Suwarno; Dede Roni
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 4 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/9m1cah92

Abstract

PT XYY is a company that focuses on activities in the field of Fast Mouving Consumer Goods (FMGC), namely ice cream products with the JY brand. The problem that is often encountered at PT XYY is the frequent stopping of the production process due to downtime. The machine that often experiences downtime is the corn egroll machine which is one of the machines used as a stage in the ice cream making process. One solution to overcome this problem is to approach total productive maintenance (TPM) as a whole which is measured using the Overall Equipment Effectiveness (OEE) method.sas a critical measuring tool for assessing productivity and operational efficiency.  and find out the dominant root cause of OEE problems with fishbone diagram. The calculation results show that the OEE value on the corn egroll machine in November is 66.03%, this value is far below the international standard of 85%. The decrease in the OEE value is mainly due to the low operation time which is influenced by the fairly high machine downtime. This is also reflected in the machine availability value which is only 81.74%, which indicates an imbalance between operating time and time that should be used for production. Keywords: Diagram Fishbone, Downtime, Overall Equipment Effectivenees, Total Productive Maintenance  
Analisis Beban Kerja Mental Karyawan Unit Gerinda Finishing Menggunakan Metode NASA-TLX di Perusahaan Manufaktur Peralatan Pertanian M. Toto Sugiharto; Dene Herwanto
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 4 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/rma2re80

Abstract

Workers in the finishing grinding unit of an agricultural equipment manufacturing company experience high mental workload due to physical demands, high production targets, and suboptimal working conditions. This study analyzes the level of mental workload using the NASA-TLX method on five employees to identify the most influential indicators. The results show that Physical Demand (PD) is the most dominant factor contributing to the high workload, with WWL scores ranging from 68 to 81, and one employee categorized as having a very high and four as high workload. The main contributing factors include labor shortages, inadequate working environment, excessive production targets, and low motivation and job satisfaction. Several improvement recommendations are proposed, such as increasing the number of workers, improving workplace conditions, adjusting production targets, and enhancing motivation and job satisfaction. The implementation of these recommendations is expected to reduce mental workload, improve comfort, and maintain optimal productivity. Keywords: Agricultural Equipment Company, Finishing Grinder, Mental Workload, NASA-TLX
Evaluasi Ergonomi Lingkungan Kerja Fisik (Pencahayaan, Kebisingan, Suhu) dan Pengaruhnya Terhadap Kinerja di PT Rekso Nasional Food Rafli Farozi; Denny Walady Utama; Zaharuddin Zaharuddin
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 4 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/abm2jp86

Abstract

An unergonomic physical work environment, such as low lighting, high noise, and hot temperatures, can reduce employee comfort and performance. This condition was also found at PT Rekso Nasional Food (McDonald's) Pancing branch, Medan. This study aims to evaluate lighting, noise, and work temperature and analyze their impact on employee performance. The research method used was quantitative descriptive-causal. Data were collected from 30 employees through direct measurements and questionnaires, then analyzed using multiple linear regression. The results showed that the work environment did not meet ergonomic standards, especially during peak shifts (32.5°C; >85 dBA; 282 Lux). Simultaneously, all three factors significantly influenced performance (R² = 45.2%), but only lighting was significant partially. These findings emphasize the importance of adequate lighting and the need for continuous ergonomic evaluation to improve performance and operational efficiency. Keywords: Distractions, Employee Performance, Ergonomics, Lighting, Temperature, Work Environment
Penentuan Komponen Kritis untuk Track Shoe Assy Excavator T200 Menggunakan Metode Analytical Hierarchy Process (AHP) di PT XYZ Aksyal Abi Maulana; Winarno Winarno; Wahyudin Wahyudin; Yamandito Mario Nugroho
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 4 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/emt48w17

Abstract

At PT XYZ, the mismatch between Procurement lead time and continuously changing production demand increases the risk of material Procurement delays, which may disrupt the assembly process of the T200 Excavator Track Shoe Assy. This study aims to identify the most critical component that has the potential to cause production delays using the Analytical Hierarchy Process (AHP) method. The evaluation was conducted based on five criteria: Procurement lead time, annual demand, Procurement frequency, usage quantity, and cost. Data were obtained from the company’s internal information system and subjective assessments provided by three experienced Procurement staff. All data were systematically analyzed using AHP to determine the priority weight of each component. The results indicate that the nut component has the highest priority weight among all alternatives, making it the primary component requiring attention in the company’s Procurement planning and strategy. All pairwise comparison matrices achieved a Consistency Ratio below 0.1, indicating that the results are valid and consistent. This study provides a quantitative basis for supporting decision-making in developing an efficient and responsiveProcurement strategy under dynamic production demand. Keywords: AHP, Critical Component, Procurement, SCM
Analisis Risiko Rantai Pasok Pergudangan dengan Metode Failure Mode and Effect Analysis di PT Universal Indofood Product Riandhika Adha; Zaharuddin Zaharuddin
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 4 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/qfsva832

Abstract

PT Universal Indofood Product faces significant challenges in managing its raw material warehousing, hindering the achievement of production targets. Key issues include limited warehouse capacity, human resource constraints due to multiple workloads, suboptimal raw material quality control, and internal distribution inefficiencies. This study applies the Failure Mode and Effect Analysis (FMEA) method to identify and prioritize operational risks. The analysis reveals four critical risks with the highest RPNs: limited employee capabilities due to other job duties (RPN: 320), suboptimal warehouse cleanliness and suitability (RPN: 270), suboptimal raw material quality control (RPN: 225), and potential failure to meet production targets (RPN: 80). Mitigation measures include human resource optimization, warehouse facility improvements, integrated information system (WMS) implementation, enhanced interdepartmental coordination, and periodic risk management policies and evaluations. These measures are expected to improve warehousing efficiency and support the achievement of the company's production targets. Keywords: FMEA, Mitigation,  RPN, Supply Chain, Warehousing Activities

Page 41 of 42 | Total Record : 416

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