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Jurnal Mitra Teknik Industri
Published by Universitas Tarumanagara
ISSN : 28293347     EISSN : 2829338X     DOI : https://doi.org/10.24912/jmti
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Jurnal Mitra Teknik Industri (JMTI) adalah Jurnal Ilmiah sebagai wadah pengembangan bidang ilmu Teknik dan Manajemen Industri, berisi hasil kajian dan penelitian dari dosen, peneliti, serta praktisi industri. Jurnal Mitra Teknik Industri diterbitkan oleh Program Studi Teknik Industri Fakultas Teknik Universitas Tarumanagara Jakarta, dalam waktu 1 (satu) tahun terbit 3 (tiga) kali.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 126 Documents
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ANALISIS PENGUKURAN KINERJA GREEN SUPPLY CHAIN MANAGEMENT PADA PERUSAHAAN PELAPISAN LOGAM DENGAN PENDEKATAN GREEN SCOR Frederick S C, Lamberth; Saryatmo, Mohammad Agung; Doaly, Carla O
Jurnal Mitra Teknik Industri Vol. 4 No. 3 (2025): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/3fdzxq45

Abstract

Metal plating and stamping companies face greater challenges in managing waste, energy consumption, and selecting environmentally friendly raw materials. Therefore, the performance of Green Supply Chain Management (GSCM) is crucial to support the sustainability of business operations. This study aims to analyze the GSCM performance in a metal plating and stamping company by using an integrative method combining Green SCOR, Analytical Hierarchy Process (AHP), Objective Matrix (OMAX), and the Traffic Light System (TLS). The Green SCOR model is used to identify the five main processes in the supply chain, AHP is used to determine the priority weights of each performance indicator, and OMAX is applied to measure and evaluate the company’s actual GSCM performance. The results of the study identify which indicators within the overall supply chain process require improvement. Based on the findings, 12 indicators fall into the green category, 2 indicators are categorized as yellow, and 7 indicators are categorized as red. The yellow and red indicators need to be improved in order to enhance the company’s future GSCM performance.
SIMULASI DENGAN PENDEKATAN METODE GREEN LEAN MANUFACTURING GUNA MENGEVALUASI PEMBOROSAN WAKTU PADA PT. ANS DENGAN SISTEM DINAMIS Salsabila, Naswa; Ahmad; Andres
Jurnal Mitra Teknik Industri Vol. 4 No. 3 (2025): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/a74c9c23

Abstract

This manufacturing company operates in the automotive industry with a Make to Order (MTO) production system, producing motorcycle engine components. Observations revealed production inefficiencies due to waste in the form of waiting time and excessive motion, leading to increased operational time and costs. This study aims to identify sources of waste, analyze root causes, and propose improvements using the Green Lean Manufacturing approach, which emphasizes both production efficiency and environmental considerations. The methods applied include Value Stream Mapping (VSM), Fishbone Diagram, 5 Why’s analysis, and system dynamics simulation. Based on the Current VSM analysis, the lead time was 268.21 minutes with a Process Cycle Efficiency (PCE) of 77.32%. Proposed improvements include relocating materials closer to machines, preparing tools before production, and adding workplace facilities. The Future VSM showed a lead time reduction of 17.92 minutes and a PCE increase of 1.17%. From the three simulated scenarios, ANOVA test results indicated that Scenario 3 was the most effective in reducing motion waste, while Scenario 2 best reduced waiting time. Both scenarios demonstrated the effectiveness of continuous lean implementation over a five-year period.
PENGUKURAN KINERJA RANTAI PASOK DENGAN KEY PERFORMANCE INDICATOR (KPI) PADA PERUSAHAAN MANUFAKTUR SEPATU MENGGUNAKAN KONSEP GREEN SUPPLY CHAIN MANAGEMENT Putra, Fadilah Ikhsan; Saryatmo, Mohammad Agung; Andres
Jurnal Mitra Teknik Industri Vol. 4 No. 3 (2025): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/6mebpa98

Abstract

The objective of this research is to develop prioritized indicators for companies by designing performance measurement using the Green Supply Chain Management (GSCM) approach, Key Performance Indicators (KPI), Supply Chain Operations Reference (SCOR) model, Objective Matrix (OMAX), and Traffic Light System to analyze environmentally friendly logistics strategies and concepts in support of corporate sustainability and efficiency. This study was conducted on a footwear manufacturing company. The performance measurement design, based on the green supply chain management concept aligned with the company's vision and mission, resulted in the identification of 45 key performance indicators. The company then selected 20 indicators out of the 45 proposed for further modeling using the Green SCOR method, which includes five perspectives: plan, source, make, deliver, and return. Performance scores were then calculated using the Objective Matrix (OMAX) and the Traffic Light System. The results showed that 12 indicators were marked green, 6 were yellow, and 2 were red. Each perspective received a score as follows, return 9.090, delivery 8.402, source 7.589, make 7.333, and plan 6. The plan perspective received the lowest score, indicating that immediate improvements should be made in the plan perspective, particularly regarding unmet indicators, to achieve the company’s performance targets.
QUALITY IMPROVEMENT ANALYSIS USING THE SEVEN NEW QUALITY TOOLS AND POKA YOKE IN A SAFETY SHOES MANUFACTURING COMPANY Nathaniel; Kosasih, Wilson; Salomon, Lithrone Laricha
Jurnal Mitra Teknik Industri Vol. 4 No. 3 (2025): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/mv4y6h87

Abstract

This safety shoe company is a manufacturing company that faces various quality issues, such as defects in stitching, leather, mismatched shoe pairs, and incomplete components. Based on production data from March 2024 to February 2025, the most dominant defects were “Mismatched Pairs” and “Incomplete Components,” with a total of 3,694 defective pairs out of 120,000 produced, resulting in a DPMO value of 7,695.83. This study aims to identify the root causes of these defects and design quality improvement solutions using the New Seven Quality Tools and PokaYoke methods. Data were collected through field observations and literature reviews, then analyzed using tools such as the Pareto Diagram, Affinity Diagram, Interrelationship Diagram, Tree Diagram, and Matrix Analysis. The results show that immediate corrective actions include the development of standard operating procedures (SOPs), routine socialization, daily briefings, improved lighting, and component replacement. Long- term solutions, such as adding conveyor belts and implementing preventive maintenance, could not yet be executed due to time and cost constraints. Implementation efforts focused on developing a Poka Yoke-based SOP at the packing station as a concrete step toward improving product quality.
STUDI KASUS PENINGKATAN KUALITAS MENGGUNAKAN METODE SIX SIGMA DAN FMEA PADA PERUSAHAAN CARBON ROD BATERAI Setiawan, Yesaya Hansel; Saryatmo, Mohammad Agung; Sukania, I Wayan
Jurnal Mitra Teknik Industri Vol. 4 No. 3 (2025): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/mg7wy749

Abstract

This research was conducted at PT. XYZ, a company that manufactures carbon rods, by applying the Six Sigma method using the DMAIC and FMEA approaches. The data is taken from production results during the period April 2024 to March 2025, which shows an average defect rate of 4.9%. The initial stage of the research begins with identifying critical to quality (CTQ), which is the need for high-quality carbon rod products that are able to meet customer demand consistently. Process mapping and quality performance calculation were carried out using the Six Sigma method, which resulted in a DPMO value of 6,997 and a sigma level of 3.96. These results show that the production process needs to be improved. The main causes of defects are analyzed using a cause-and-effect diagram based on five types of defects, namely fracture, chipping, cracking, perforation, and tilted position, which are influenced by human factors, machines, methods, and working environments. through FMEA analysis, it was found that the causes of failure with the highest FRPN values were found, such as engine speed that was too high, cleanliness of machinery and other production equipment that is not observed or neglected, and errors in engine adjustment. Proposed improvements are carried out with a Kaizen approach through 5S and five M-checklists, and are implemented in the form of SOPs and checksheets. As a result, the defect rate was successfully reduced from 4.9% to 3.5%.
STRATEGI PENURUNAN DOWNTIME DAN SETUP TIME PADA MESIN HEAT SEAL MENGGUNAKAN PENDEKATAN LEAN MAINTENANCE Ong, Michelle Roselyn; Salomon, Lithrone Laricha; Kosasih, Wilson
Jurnal Mitra Teknik Industri Vol. 4 No. 3 (2025): Jurnal Mitra Teknik Industri
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/8wtj9758

Abstract

The automotive battery manufacturing industry faces challenges in the effectiveness of its machine maintenance systems, particularly in the heat seal machine, which recorded the highest downtime with a total of 12,722 minutes and 434 occurrences from April 2024 to March 2025. This study aims to identify waste in breakdown maintenance activites, analyze the root causes, and provide improvement recommendations based on lean maintenance, The method used is Maintenance Value Stream Mapping (MVSM) to identify value-added (VA) and non-value-added (NVA) activities, and to calculate maintenance efficiency using indicators such as MTTO, MTTR, MTTY, and MMLT. In addition, root cause analysis is conducted using the five whys method and data collection through observation, interviews, and focus group discussion (FGD). The results show that maintenance efficiency is only 32.97% with NVA activities dominating at 67.03%. The identified types of waste include waiting, motion, process, and defects. The proposed improvements include the implementation of floation technicians, addition of trolleys, digitalization of the maintenance system using a Computerized Maintenance Management System (CMMS), and placement of toolboxes and equipment trolleys on the production floor. The implementation of the future state map shows an increase in efficiency to 38.22% and a reduction of NVA activities to 61.78%. These results indicate that the lean maintenance approach through systems.

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