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Johan Alfian Pradana
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INDONESIA
JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri
Published by Universitas Kadiri
ISSN : -     EISSN : 29640792     DOI : https://doi.org/10.30737/jurmatis.v6i1.5128
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 6 Documents
Search results for , issue "Vol. 8 No. 1 (2026): January" : 6 Documents clear
Pengaruh Kualitas Pelayanan terhadap Kepuasan Pelanggan dengan Mediasi Kinerja Manajemen di Perusahaan Jasa Transportasi (GOJEK) Anidia, Tisna; Nurhayati, Aan; Septia, Calista Nur; Akbar, Muhammad Ali
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 8 No. 1 (2026): January
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v8i1.6320

Abstract

This study aims to examine the effect of Service Quality on Customer Satisfaction with the mediation of Management Performance in a transportation service company (Gojek). The research problem addressed is whether service quality has a direct and indirect effect on customer satisfaction, and how the role of quality management contributes to this relationship. Since the population is considered infinite, the sample size was determined using Lemeshow's formula, resulting in 96 respondents. This study uses a quantitative approach with mediation regression analysis based on the method proposed by F. Hayes, involving active users of Gojek services as respondents. The results show that Service Quality significantly influences Customer Satisfaction, both directly and through the mediation of Quality Management Performance. The indirect effect value of 0.5209 with a confidence interval of [0.3889–0.6733] confirms the significance of the mediation. These findings indicate that improving service quality must be supported by an effective management system in order to have a maximal impact on customer satisfaction.
Perancangan Mesin Pengaduk Media Tanam Jamur Tiram Dengan Pendekatan Metode NIDA Falah, Muhamad Miftakhul; Izzhati, Dwi Nurul
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 8 No. 1 (2026): January
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v8i1.6954

Abstract

Indonesia has significant agrarian potential, with oyster mushrooms as a high-value economic and nutritious commodity. Production is supported by 25.1 million farming households and 17.2 million smallholder farmers, yielding 43.36 million kg annually. This study aims to design a log bag production machine capable of producing >38 kg per batch, equipped with a 6.5 HP motor and a 200 L drum, with a total manufacturing cost of <IDR 3,800,000 and a potential profit margin >18%. A quantitative case study methodology was applied to the "Jamur Widodo" enterprise, using NIDA methods and Activity Based Costing (ABC) to identify and allocate production costs. The designed machine, with a capacity of >40 kg per batch, a 5.5–6.5 HP motor, 200 L drum, specialized blades, 4×4 cm hollow frame, and speed reducer, successfully met user requirements (voice of customer). The machine proved efficient, ergonomic, and stable in mixing growing media. A total production cost of IDR 3,701,000 allows a selling price of IDR 4,441,200 with a 20% margin, demonstrating economic feasibility for small-scale production. These findings contribute significantly to improving efficiency, reducing operational costs, and enhancing oyster mushroom production capacity economically.
Perbaikan Manajemen Pengendalian Mutu Pada Proses Produksi Teh Hitam Berbasis Statistical Quality Control (SQC) Kara, Dimas Permadi Bagas; Hartono, Ridwan; Wijaya, Dewa Kusuma
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 8 No. 1 (2026): January
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v8i1.6999

Abstract

PT. XYZ, a black tea factory located in Pemalang Regency, continues to grapple with product defect issues arising during its production process. This study aims to identify the root causes of quality degradation and propose strategic improvements to elevate black tea product standards. The research employs Statistical Quality Control (SQC) techniques, utilizing precise and measurable statistical analysis instruments. Data were assessed descriptively, focusing on quality conditions derived from available records. The quality control stages were executed using various SQC tools, including check sheets, Pareto diagrams, histograms, control charts, and cause-and-effect diagrams (fishbone diagrams). Based on the research findings, out of a total black tea output of 84,380 tons, 4,432 tons of products failed to meet standards, primarily due to non-compliant moisture levels and inconsistent tea leaf sizes. According to the Pareto diagram analysis, the most frequent defect is moisture content non-conformity. This finding confirms that weaknesses in moisture control are the primary factor in quality decline. Recommendations for improvement focus on enhancing moisture control procedures, standardizing harvesting operations, providing labor training, and optimizing the use of quality control tools to significantly reduce defects and strengthen the company's competitiveness in the future.
ANALISIS PENGARUH KEBISINGAN TERHADAP KESEHATAN KESELAMATAN KERJA KARYAWAN PT CHAROEN POKPHAND INDONESIA Mohammad Faris; Setyaningrum, Ratih
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 8 No. 1 (2026): January
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v8i1.7046

Abstract

PT Charoen Pokphand Indonesia Feedmills is one of the manufacturing companies engaged in the animal feed industry, which focuses on the manufacture of broiler animal feed, laying hen animal feed, pig animal feed, and quail animal feed. In carrying out activities, workers are faced with barges and machines. So that prevention and mitigation of hazards is a misconsideration to ensure the health and safety of workers. This study aims to determine the relationship between noise factors and health disorders, including noise intensity, noise sources, and the use of PPE. Using the method The research method used to identify risks is Job Safety Analysis (JSA). Therefore, K3 risk analysis and control suggestions were obtained at the highest risk, namely hearing impairment due to machine noise, and communication disturbances.
Model Matematis Untuk Optimasi Pengendalian Persediaan Bahan Baku Pelet Plastik Pada Lini Industri Produksi PT. Tiplas Hafid, Ahcmad; Jumali, Muhamad Abdul
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 8 No. 1 (2026): January
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v8i1.7146

Abstract

This study aims to optimize the inventory control of plastic pellet raw materials in the production line of PT. Tiplas by applying mathematical models consisting of Economic Order Quantity (EOQ), Safety Stock, Reorder Point (ROP), and Total Inventory Cost (TIC). One year of observation shows that raw material usage fluctuates significantly, with notable differences in monthly consumption. Such conditions require the company to implement a more structured and measurable inventory control system to ensure smooth production activities and minimize the risk of stockouts. Analysis of monthly consumption data indicates that the average daily demand reaches 768 units, with a standard deviation of 329.24 units, reflecting a high level of demand uncertainty. Using a probabilistic inventory approach, the study determines the optimal order quantity at 9,601 units, safety stock at 1,880 units, and a reorder point at 11,099 units. The results demonstrate that the applied model provides more efficient inventory control recommendations, reduces total inventory costs, and ensures better readiness of raw material availability to support continuous production operations.
Analisis Pengendalian Kualitas Produk Jok Dengan Metode Seven Tools Untuk Mengurangi Kecacatan Produk Di PT ABC Candra Kusuma, Gopala; Izzhati, Dwi Nurul
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 8 No. 1 (2026): January
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v8i1.7148

Abstract

The high number of defective seat products in PT. ABC’s production process indicates quality control issues that require systematic analysis. This study aims to evaluate whether the production process remains within acceptable control limits and to identify the types and causes of product defects. The Seven Tools method was applied as a quality control analysis instrument, including check sheets, histograms, scatter diagrams, stratification, Pareto charts, p-control charts, and fishbone diagrams. Based on data analysis, total production reached 4,369 units, with 870 defective products. The identified defect types included uneven stitching (47%), peeling paint (5%), stuck reclining mechanisms (20%), and poorly wrapped covers (26%). The main causes of defects were related to machine, human, method, and environmental factors. These findings provide a practical contribution by serving as a basis for evaluating and improving production processes through more effective quality control implementation and enhancing human resource performance to continuously reduce product defects.

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