JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri
1. Quality and Reliability Engineering (QRE) Includes tools and techniques for engineering products in the goods industry and service industry. QRE to prevent product errors or defects. While in the process of the service industry to avoid problems in providing the best service solutions to customers, includes: - Variable control charts (x-chart, r-chart, s-chart, exponentially, moving range) - Attribut control charts (p-chart, np-chart) - Rectifying inspection - Design of experiments (ANOVA, factorial design, random factors in experiments) - Response surface methodology (robust design, cross array design, taguchi method) - Lean six sigma (DPMO, DMAIC, DMADV) - Failure analysis, Maintenance (sensors applications, preventive maintenance, group replacement) - Machine learning methods for analysing degradation data 2. Facilities Engineering and Energy (FEC) untuk Facilitis Engineering about resources to support the optimal production and distribution of goods and services. Meanwhile, energy related to power / power sources is needed for production activities, such as renewable power, as well as waste innovation for energy in production, includes : - Material handling system design, Order picking methods - Warehouse layout models, Facilities maintenance management systems - Design for racks and blockstacking - Biomass energy, energy storage for production/ distribution - Enegy modelling, energy planning and life cycle energy for production/ distribution with linear or non linear programming 3. Operation Engineering (OE) deals with production engineering closely with mathematical models to achieve optimizing limited resources in meeting user needs, includes: - Life cycle product, service and process - Forecasting models, trend based, seasonal series - Aggregate planning and control for manufacturing systems - Job shops, Just in time, work schedules - Inventory management and control, voice of customer - Master production schedule, multiline optimizaton, enterprise resource planning - Green supply chain, supply chain 4.0, reverse logistics, supplier risk - Machine learning methods for operation - Operation modelling, transport algorithm, production scheduling algorithm - Optimization problems (linear, non liniear and constraint programming) in operation 4. Technology – Ergonomic and Human Factors (TEHF) closely with design, devices and equipment that are technologically compatible with the human body and cognitive, include: - Anthropometric (musculoskeletal disorders, human variability, designing for everyone) - Occupational biomechanic, cardiovascular system, physiology in work system - Ergonomic Cognitif 4.0 (task demand, mental capacity, usability engineering) - Vision, lighting, hearing, sound, noise, vibration in work system - Ergonomic interventions, psychological factors, risk factors, displays and controls system
Articles
140 Documents
<![CDATA[Analisis Pengendalian Kualitas Produk Ayam Utuh pada PT XYZ dengan Metode Statistical Quality Control (SQC) ]]>
<![CDATA[Miskiyah, Aliffatul]]>;
<![CDATA[Pulansari, Farida]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 1 (2025): January ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v7i1.6441
<![CDATA[PT. XYZ is a producer of slaughtered chicken and has a chicken slaughterhouse with the largest production capacity in Indonesia. PT XYZ has various types of products, the most in demand is whole chicken, but in the production process, whole chicken products have a greater number of defects than other products. The solution of the problem can be done using the Statistical Quality Control (SQC) method. This study aims to identify and analyze the quality of whole chicken products in PT XYZ using the Statistical Quality Control (SQC) method, determine the factors that cause non-conformities in whole chicken products, and find out improvement efforts using 7 stages of more detailed and detailed problem solving, such as Check Sheets, Pareto diagrams, scatter charts, histograms, control charts, stratifications, and fishbone diagrams. Based on the data processing, the following results were obtained, out of a total sample of 170,800 whole chickens, there were 16,149 that experienced non-conformities; Based on Pareto chart analysis, the dominant types of defects were abnormal Leg Cutters (59%), blistered chicken wings (22%), and broken chicken wings (19); Process stability: Analysis of the control chart shows that the production process is out of control at some point, indicating that there are variations that need to be corrected. This research can increase knowledge about analytical models and product quality.]]>
<![CDATA[Analisis Pemilihan Supplier dengan Metode AHP dan Model QCDFR di PT. Novalindo Sukses Mandiri ]]>
<![CDATA[Oktavian, Aditya]]>;
<![CDATA[Pradipto, Masri]]>;
<![CDATA[Borman, Mohammad Riski]]>;
<![CDATA[Hartini, Sri]]>;
<![CDATA[Sari, Tri Novita]]>;
<![CDATA[Farhana, Adinda]]>;
<![CDATA[Rosalina, Uki Aulia]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 1 (2025): January ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v7i1.6474
<![CDATA[The selection of raw material suppliers affects production efficiency. PT. Novalindo only considers price, neglecting quality, delivery, flexibility, and responsiveness. This study uses AHP based on QCDFR for a systematic solution. The study begins with assessing stainless steel and iron plate suppliers based on QCDFR criteria, followed by the application of AHP to determine the best supplier, calculate criterion weights, and perform consistency testing. The study shows that PT. Yunsung is the best supplier for both iron and stainless steel plates with a weight of 0.504. PT. Bansoek and CV. Mulya rank second and third with weights of 0.290 and 0.170, respectively. PT. Yunsung excels in the quality, cost, and flexibility criteria, while CV. Mulya excels in delivery, and PT. Bansoek excels in responsiveness. The consistency of criterion weightings for both types of plates shows acceptable consistency values of 0.015 and 0.013. This study provides a systematic, data-driven solution for selecting the best supplier for manufacturing companies in the iron and stainless steel plate sector, offering a strategy for evaluating and selecting suppliers across multiple dimensions, including quality, cost, delivery, flexibility, and responsiveness. The study has been able to improve operational efficiency and reduce the risk of supply chain disruptions.]]>
<![CDATA[Analisis Pengendalian Kualitas Produk Ayam Utuh pada PT XYZ dengan Metode Statistical Quality Control (SQC) ]]>
<![CDATA[Miskiyah, Aliffatul]]>;
<![CDATA[Pulansari, Farida]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 1 (2025): January ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
Show Abstract
|
Download Original
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Original Source
|
Check in Google Scholar
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DOI: 10.30737/jurmatis.v7i1.6441
<![CDATA[PT. XYZ is a producer of slaughtered chicken and has a chicken slaughterhouse with the largest production capacity in Indonesia. PT XYZ has various types of products, the most in demand is whole chicken, but in the production process, whole chicken products have a greater number of defects than other products. The solution of the problem can be done using the Statistical Quality Control (SQC) method. This study aims to identify and analyze the quality of whole chicken products in PT XYZ using the Statistical Quality Control (SQC) method, determine the factors that cause non-conformities in whole chicken products, and find out improvement efforts using 7 stages of more detailed and detailed problem solving, such as Check Sheets, Pareto diagrams, scatter charts, histograms, control charts, stratifications, and fishbone diagrams. Based on the data processing, the following results were obtained, out of a total sample of 170,800 whole chickens, there were 16,149 that experienced non-conformities; Based on Pareto chart analysis, the dominant types of defects were abnormal Leg Cutters (59%), blistered chicken wings (22%), and broken chicken wings (19); Process stability: Analysis of the control chart shows that the production process is out of control at some point, indicating that there are variations that need to be corrected. This research can increase knowledge about analytical models and product quality.]]>
<![CDATA[Analisis Pemilihan Supplier dengan Metode AHP dan Model QCDFR di PT. Novalindo Sukses Mandiri ]]>
<![CDATA[Oktavian, Aditya]]>;
<![CDATA[Pradipto, Masri]]>;
<![CDATA[Borman, Mohammad Riski]]>;
<![CDATA[Hartini, Sri]]>;
<![CDATA[Sari, Tri Novita]]>;
<![CDATA[Farhana, Adinda]]>;
<![CDATA[Rosalina, Uki Aulia]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 1 (2025): January ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
Show Abstract
|
Download Original
|
Original Source
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Check in Google Scholar
|
DOI: 10.30737/jurmatis.v7i1.6474
<![CDATA[The selection of raw material suppliers affects production efficiency. PT. Novalindo only considers price, neglecting quality, delivery, flexibility, and responsiveness. This study uses AHP based on QCDFR for a systematic solution. The study begins with assessing stainless steel and iron plate suppliers based on QCDFR criteria, followed by the application of AHP to determine the best supplier, calculate criterion weights, and perform consistency testing. The study shows that PT. Yunsung is the best supplier for both iron and stainless steel plates with a weight of 0.504. PT. Bansoek and CV. Mulya rank second and third with weights of 0.290 and 0.170, respectively. PT. Yunsung excels in the quality, cost, and flexibility criteria, while CV. Mulya excels in delivery, and PT. Bansoek excels in responsiveness. The consistency of criterion weightings for both types of plates shows acceptable consistency values of 0.015 and 0.013. This study provides a systematic, data-driven solution for selecting the best supplier for manufacturing companies in the iron and stainless steel plate sector, offering a strategy for evaluating and selecting suppliers across multiple dimensions, including quality, cost, delivery, flexibility, and responsiveness. The study has been able to improve operational efficiency and reduce the risk of supply chain disruptions.]]>
<![CDATA[Pengaruh Beban Kerja Fisik dan Beban Kerja Mental Bagian Produksi Terhadap Produktivitas Pekerja Menggunakan Metode CVL dan NASA-TLX di PT. SXX ]]>
<![CDATA[Putra Firmansyah, Alif]]>;
<![CDATA[Rushanti Widodo, Silvi]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 2 (2025): August ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v7i2.6407
<![CDATA[Worker productivity is an important factor in supporting the achievement of company targets, especially in the production sector. However, high physical and mental workloads can reduce productivity and increase the risk of fatigue. This study aims to analyze the effect of physical and mental workloads on worker productivity at PT. SXX. The method used is Cardiovascular Load (CVL) to measure physical workload based on heart rate, and NASA-TLX to assess mental workload based on subjective perceptions of workers on six dimensions of work. Data were obtained through direct measurement and distribution of questionnaires to production workers. The results showed that most workers experienced moderate to heavy physical workloads and high mental workloads. Further analysis revealed a negative correlation between high workloads and worker productivity levels. These findings indicate the need for improvements in the work system and division of tasks in order to create more balanced and productive working conditions in the industrial environment.]]>
<![CDATA[Analisis Pengukuran Beban Kerja Fisiologis dan Psikologis Karyawan Produksi Menggunakan Metode CVL dan NASA-TLX Pada Produksi PC-Deck di PT XYZ ]]>
<![CDATA[Meilani, Dewi]]>;
<![CDATA[Sofyan, Hady]]>;
<![CDATA[Kicky Basuki Putri, Pandena]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 2 (2025): August ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v7i2.6492
<![CDATA[PT XYZ is one of the precast concrete construction companies located in Purwakarta. On the PC-Deck production line, employees often face complex workloads, both physically and psychologically. This study aims to determine the classification of physiological and psychological workloads of production employees using two methods, namely Cardiovascular Load (CVL) and NASA Task Load Index (NASA-TLX). Physiological workload measurements were conducted by monitoring heart rate during rest and work periods. The results showed that the majority of employees fell into the moderate CVL category (30–60%), indicating that improvements are needed, though not yet urgent. However, one employee had a CVL value of 64%, indicating high physical workload and requiring immediate intervention. On the other hand, NASA-TLX results showed that 6 out of 8 employees had a Weighted Workload (WWL) above 80, indicating extremely high psychological workload. This workload is influenced by a combination of factors, particularly work pressure, workload volume, and long working hours. Proposed improvements include stress and fatigue management training, additional manpower and tools, more structured work planning, and production capacity evaluation.]]>
<![CDATA[Analisis Risiko Keselamatan Dan Kesehatan Kerja (K3) Menggunakan Metode Hazard Identification Risk Assesment And Risk Control (HIRARC) Dan Job Safety Analysis (JSA) Di PT. Indo – Rama Synthtetics Tbk ]]>
<![CDATA[Arlin, Shellfha Aprilia]]>;
<![CDATA[Tarman, Tarman]]>;
<![CDATA[Wibowo, Priyo Ari]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 2 (2025): August ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v7i2.6517
<![CDATA[This research was conducted at PT Indo-Rama Synthetics Tbk Purwakarta which is engaged in the Textile Industry. This research aims to analyze the risks of Occupational Safety and Health (K3) in the POY CP-3 Department at PT Indo-Rama Synthetics Tbk. The methods used are Hazard Identification, Risk Assessment, and Risk Control (HIRARC) and Job Safety Analysis (JSA). This department has a high level of risk because its production activities involve the use of high-speed machinery and chemicals, which have the potential to cause work accidents. Based on work accident data for the period September 2024 - March 2025, there were 7 accident incidents recorded, reflecting the lack of implementation of an OHS culture in the work area. Through the application of the HIRARC method, hazard identification, risk level assessment, and control recommendations were made for each work activity. The JSA method was used to analyze each stage of work to establish more specific control measures. The analysis results show that some activities have high to extreme risk levels, such as being squashed by trolleys and exposed to chemicals. Therefore, improvement proposals were made in the form of providing personal protective equipment (PPE), improving SOP , and regular work safety training. This research is expected to be a real contribution in increasing awareness and implementation of OHS, as well as a reference in efforts to prevent work accidents in the industrial environment.]]>
<![CDATA[Inovasi Penyiraman Bibit Pinus Berbasis Kelembaban Tanah Menggunakan Microcontroller Berbasis Arduino Untuk Meminimalisir Kematian Bibit (Studi Kasus PT.XYZ) ]]>
<![CDATA[Setya Putra, Danang]]>;
<![CDATA[Yusianto, Rindra]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 2 (2025): August ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v7i2.6606
<![CDATA[Irregular watering at the nursery stage is often the cause of death of Pinus merkusii seedlings. This study aims to design and test an Arduino-based automatic watering system with a soil moisture sensor to maintain optimal humidity in the polybag planting medium of pine seedlings. The study was conducted through an experimental method with direct testing using seedling samples. The system is designed to activate the water pump when soil moisture drops below 60% and stop watering when humidity reaches 70%, with real-time monitoring via sensors. Humidity data was taken every 1 hour for 10 hours of testing. The test results showed that the system was able to maintain soil moisture within the ideal range, provide the right watering response, and was effective in reducing the burden of labor. The recommendation from this study is the development of a system using Arduino as a controller to optimize seedling watering more efficiently, evenly, and measurably in order to minimize seedling mortality.]]>
<![CDATA[Analisis Ergonomi Postur Kerja Pekerja Pandai Besi Berdasarkan SNI 9011:2021 di Dusun Talwa Kabupaten Sumbawa ]]>
<![CDATA[Rohmandani Putri, Desi]]>;
<![CDATA[Hudaningsih, Nurul]]>;
<![CDATA[Mashabai, Ismi]]>;
<![CDATA[Ulfaturrahmi]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 2 (2025): August ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v7i2.6669
<![CDATA[The work of traditional blacksmiths in Talwa, Sumbawa Regency, is still done manually with awkward work postures, excessive use of energy, heat exposure, and vibration, thus risking musculoskeletal disorders (MSDs). This condition shows that there is a gap in research related to the application of ergonomics in the traditional small industry sector. This study aims to analyze the level of ergonomic risk in blacksmith workers using the Skeletal Muscle Disorder (GOTRAK) assessment and the SNI 9011:2021 ergonomic potential hazard checklist, and develop recommendations for improvement. The method used was descriptive quantitative on five workers, with data collection through the GOTRAK questionnaire and SNI 9011:2021 checklist. The results show high risk (score >8) in the shoulders, upper and lower back, arms, and hands, and moderate risk (score 6-7) in the neck, elbows, hips, thighs, knees, calves, and feet. Ergonomic potential hazard scores ranged from 9 to 21, with the main exposures from bending postures, wrist bending, power grip >5 kg, vibration without dampening, high temperature, and static standing. Implementation of SNI 9011:2021 in traditional small industries and ergonomic recommendations to improve safety, comfort, and productivity.]]>
<![CDATA[Analisis Simulasi Antrian Produksi Beton pada Mesin Spinning di PT. ABC Menggunakan Software Arena ]]>
<![CDATA[Hardiyansah, Robi]]>;
<![CDATA[Luthfianto, Saufik]]>
<![CDATA[ JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 7 No. 2 (2025): August ]]>
Publisher : <![CDATA[Universitas Kadiri ]]>
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DOI: 10.30737/jurmatis.v7i2.6309
<![CDATA[PT. ABC is a company engaged in manufacturing precast concrete products. However, during production, the spinning stacking process causes disruptions due to queue buildup, resulting in longer production times. The spinning process distributes concrete strength and compacts concrete using a centrifugal system. This study aims to develop a queue model for the spinning process line using Arena simulation and evaluate queue reduction scenarios. In the first improvement proposal, adjustments reduce waiting time to the machine take four minutes. Machine 2 takes one and three minutes. Within the moment change proposition, by including one generation line. In second improvement proposal, by adding one production line, waiting time further decreases to 2 minutes for machine 1 and 0.65 minutes for machine 2. These simulation results demonstrate the effectiveness of optimizing production lines to reduce queuing delays. The findings provide valuable insights into queue modeling and process improvement in precast concrete production using simulation techniques. This study contributes to the understanding of queue management and operational efficiency in manufacturing environments, specifically within the spinning process of concrete production.]]>
