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Penerapan Ergonomi pada Penjual Jamu Gendong dengan Metode RULA dan REBA di Kaliawi Persada Fauzan, Haroni; Sundari, Susanti; Hafizulghani, Muhammad; Farizi, Al; Buari, Jevri; Nashiruddin, Muhammad
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/9p53ft59

Abstract

A risk of musculoskeletal disorders (MSDs) due to non-ergonomic work postures was found in herbal medicine sellers. This study aims to analyze the posture and ergonomic risk levels using RULA, REBA, and Nordic Body Map (NBM) through observation and interviews with three respondents (aged 21, 33, and 63 years) who work an average of 2–3 hours per day with a load of 7 kg. The results of the study using Rula and Reba showed that the work posture was not fully ergonomic, with Rula values ​​of 4 and  Reba  values of 9. RULA and REBA values ​​indicate a moderate to high risk level, especially in elderly respondents. Although there have been no significant musculoskeletal complaints, the potential for musculoskeletal disorders can increase if work habits are not immediately corrected. It is necessary to apply ergonomic principles such as using a more ergonomic carrier (wide and soft straps), adjusting the load balance, taking active breaks and stretching, using alternative pushing aids (trolleys) on flat areas. Overall, the workload is still considered safe according to metabolic energy, but body efficiency decreases with age. Keywords: Ergonomics, Herbal Drink Seller, NBM, RULA, REBA  
Optimalisasi Produktivitas Mesin Pencacah Sampah Organik Hasil Modifikasi Aziz, Kholid; Sundari, Susanti; Irwanto, Sofyan; Yuspradana, Rizky; Nashiruddin, Muhammad
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (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/kn1y0266

Abstract

Sustainable organic waste management is a crucial issue considering the serious negative impact of landfilling. Although organic waste has great potential to be processed into compost or eco-enzymes, small-scale conventional shredders often face obstacles such as low efficiency, monolithic structures, and reliance on the power grid, which hinder adoption at the communal level. This research aims to optimize the productivity of organic waste shredding machines with a capacity of 20 kg/hour through design modifications. The methodology applied is experiment-based Research and Development (R&D). The modifications made include the implementation of a modular design (dismantling) to overcome logistical constraints and the conversion of the drive system from an electric motor to a 6.5 HP gasoline motor to ensure independent operations at the site. Comparative performance evaluation was measured using the Marvin E. Mundel Productivity Model. The test results show a significant improvement in performance. The modified machine achieved a Productivity Index (IP) of 1,579, reflecting an increase in production effectiveness of 57.9%. This increase is also supported by processing time efficiency of 36.7%, reducing the enumeration time of 5 kg of waste to 19 minutes. In conclusion, design modification strategies that focus on adapting energy sources and improving mobility are very effective in producing appropriate technologies that are efficient and ready to be implemented in society. Keywords: Design Modification, Efficiency, Mundel Method, Productivity, Waste Shredder
Optimization of Customer Complaint Resolution Through a Digitally Traceable Process Framework and Value Stream Mapping in The Automotive Industry Nashiruddin, Muhammad; Sundari, Susanti; Purba, Humiras Hardi
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (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/b0s73x05

Abstract

Improving customer complaint handling is crucial for the sustainability and success of a business, as efficient and responsive complaint handling demonstrates a company's commitment to meeting customer needs and expectations, thereby enhancing customer satisfaction. The automotive industry sets a 14-day working day standard for complaint resolution. However, the actual complaint handling process often takes an average of 26 days. By implementing a traceability system, integrating a Value Stream Mapping (VSM) approach, and adopting Industry 4.0 transformations, this research aims to reduce the handling time. Moreover, by mapping the workflow through Visual Stream Mapping, inefficiencies can be identified, and through the implementation of a Traceability System and the development of system-based processes, the transformation achieved through the conceptual model of Industry 4.0 adoption can improve the process from 26 working days to 7 working days. Keywords: Customer Complaint, Traceability, VSM  
Pengukuran Tingkat Efektivitas Mesin pada Komponen Silinder Arm Kobelco SK 200-10 melalui Implementasi  (TPM) dan Metode OEE Prasetiyo, Agung Dwi; Sundari, Susanti; Suwarni, Putri Endah
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/p6dm1n44

Abstract

Recurrent failures of the arm cylinder on the Kobelco SK 200-10 excavator at PT. XZ have resulted in increased downtime, decreased equipment performance, and higher maintenance costs. This study aims to evaluate equipment effectiveness through the implementation of Total Productive Maintenance (TPM) using the Overall Equipment Effectiveness (OEE) method. Measurement results for the period September–December 2024 indicate an OEE value of 38.97%, with availability of 82%, performance of 50.46%, and quality of 93.75%, suggesting that the equipment performance remains suboptimal, particularly in terms of performance . Six Big Losses analysis reveals that the largest losses are caused by reduced speed losses at 52.08% and average equipment failure losses of 13.96%. The main contributing factors are identified as machinery conditions, work methods, environmental factors, and operator involvement. Therefore, improving equipment effectiveness can be achieved through more disciplined preventive maintenance, refinement of operating procedures, and increased operator participation in daily maintenance activities. Keywords: Kobelco SK 200-10, OEE, Six Big Losses, TPM  
Analisis Risiko Kegagalan Genset Cummins Berbasis FMEA dalam Perspektif Reliability-Centered Maintenance di CV X Hakim, Ilham Luqmanul; Sundari, Susanti; Suwarni, Putri Endah; Nudin, Burhan
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/k8ntfq40

Abstract

CV. X frequently experiences recurring failures in Cummins genset components, such as rubber coupling, fuel filter, oil filter, battery, and radiator. This condition causes considerable downtime and increased maintenance costs, as the maintenance approach remains reactive. This research aims to design a more effective maintenance strategy using the Reliability Centered Maintenance (RCM) method. Data were collected through observation, interviews, and failure history records, then analyzed using Failure Mode and Effect Analysis (FMEA) to identify critical components, as well as Logic Tree Analysis (LTA) to determine the appropriate maintenance strategy. The results revealed five critical components, with the highest risk value found in the rubber coupling(RPN 300). The recommended strategy is Condition Directed for the rubber coupling, battery, and radiator, and Time Directed for the fuel filter and oil filter. Implementing this strategy is expected to reduce downtime and improve machine reliability. Keywords: Cummins Genset, Downtime, Logic Tree Analysis (LTA), Maintenance, RCM  
Pengelolaan Persediaan Bertingkat untuk Produk Perishable dengan Menerapkan Model Persediaan Multi-Echelon Kholidasari, Inna; Aslam, Muhammad; Sundari, Susanti
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/g6c15j38

Abstract

Inventory control is an important aspect in an organization or a company, especially a company which is deal with perishable products such as fruits An inventory model that considers the emission costs and the quality of products is Multi-Echelon Inventory Model. This research is a case study of a fruit shop where inventory control for high demand-value fruits is managed using the Multi-Echelon Inventory Model. This study aims to control the inventory of fruits in a fruit shop using Multi-Echelon Inventory Model. The data collection is carried out both in the cool room, where the fruits are consumed by the sales department, and in the sales area, where demand is generated by end consumers. Inventory costs were calculated for three fruit retrieval scenarios from the cool room, adjusted for fruit categories based on the time it takes for the fruit to deteriorate. Total inventory cost for scenario 1 is Rp.3.727.185,00, for scenario 2 is Rp. 3.698.675,00, and for scenario 3 is Rp 3.793.730,00. Total inventory cost are  the combination between the inventory cost in the cool room and the inventory cost of sales area of sales department. The results f the research shows the total inventory cost to manage the products with high demand-value and also recommendations (scenario 3) on how to control the inventory system of fruit at the case organization. Keywords: Cool room, Inventory control, Multi-Echelon Model, Perishable Product
Evaluasi Permasalahan Dead Stock Sparepart Menggunakan Pendekatan RCA untuk Meningkatkan Efektivitas Manajemen Persediaan di PT. R Susanti, Heni Dewi; Septiani, Riana; Pratiwi, Mirandhi; Sundari, Susanti
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/xvxt5346

Abstract

Suboptimal warehouse management can lead to dead stock, which refers to spare parts inventory that is not used for a certain period and may accumulate, resulting in financial losses for the company. This issue can arise due to weak inventory control, inaccurate stock records, and purchasing plans that are not based on actual usage data. This study aims to identify the causes of dead stock using Root Cause Analysis (RCA) to determine the root causes and Failure Mode and Effect Analysis (FMEA) to analyze potential failures and determine risk priorities based on the Risk Priority Number (RPN). The results show that the main factors causing dead stock include inaccurate inventory data, purchasing planning not based on actual usage, the absence of standard operating procedures (SOP) for stock management, and the lack of an integrated inventory management system. Based on the RPN calculation, inaccurate inventory data is the highest priority with an RPN value of 392, followed by unused spare parts (336), and full warehouse capacity and unutilized spare parts (252). These findings are expected to support improvements in inventory management to minimize the occurrence of dead stock. Keywords: Dead Stock, FMEA, Inventory Management, RCA, RPN
Development of a Real-Time Digital System for Extracting and Monitoring Production Output Data from Machining Processes Using Patlite in the Automotive Manufacturing Industry Nashiruddin, Muhammad; Sundari, Susanti
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (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/v88jwq16

Abstract

The advancement of Industry 4.0 has increased the demand for real-time, accurate, and efficient production monitoring systems. This study aims to develop a real-time digital system for extracting production output data from machining processes through the integration of a Patlite signal system within an automotive manufacturing environment. The proposed system utilizes three-color signal indicators (red, yellow, green) as machine status inputs, which are processed through a microcontroller and transmitted via an IoT gateway to a centralized database. A simulation-based experimental approach was employed to evaluate system performance. The results indicate that the system achieved an accuracy level of 96.8% in detecting machine status and reduced manual recording time by approximately 80%. Furthermore, the system enabled real-time monitoring through a web-based dashboard, improving production transparency and decision-making efficiency.This study demonstrates that Patlite signals can be effectively transformed into a reliable digital data source, supporting smart manufacturing implementation. Keywords: IoT, Machining, Patlite System, Production Monitoring, Smart Manufacturing