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
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<![CDATA[Pengendalian Kualitas Produk Meja Knockdown Menggunakan Metode Six Sigma dan Kaizen (Studi Kasus PT. XYZ) ]]>
<![CDATA[Hariastuti, Ni Luh Putu]]>;
<![CDATA[Pranata, Adi]]>
<![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.v7i1.5678
<![CDATA[PT. XYZ is a manufacturing company that produces furniture. In this research, the product focused on the knockdown table, which is most in demand. The main problems are product defects caused by several things, such as operators who are not careful when working, lack of machine maintenance, and an uncomfortable environment. This research aims to control the quality of knockdown table products. In achieving the objectives of this research, Six Sigma and Kaizen methods were used to solve problems and provide suggestions for improvement. The research results show that five types of defects occur, namely scratch defects, dent defects, uneven color defects, raised joint defects, and chip defects, with the result being a DPMO value of 83.443 and a sigma value of 2.86. Recommended improvements to minimize the occurrence of defects include providing direction and supervision to employees, maintaining the work environment, carrying out regular inspections of raw materials and machines, and being responsible for the work environment.]]>
<![CDATA[Peningkatan Kualitas Layanan Logistik Melalui Integrasi Model Kano dan Servqual: Studi Kasus pada PT. Pos Gondang, Mojokerto ]]>
<![CDATA[Rosiani, Tyas Yuli]]>;
<![CDATA[Garside, Annisa Kesy]]>;
<![CDATA[Ikhlasul Amallynda]]>
<![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.v7i1.6237
<![CDATA[Persaingan dalam industri logistik yang semakin ketat menuntut penyedia layanan untuk terus meningkatkan kualitas pelayanan agar mampu memenuhi harapan pelanggan. PT. Pos Gondang Mojokerto menghadapi beberapa tantangan dalam memberikan layanan yang memadai, seperti antrian panjang, keterbatasan jam operasional, dan tidak adanya garansi untuk paket yang dikirim. Penelitian ini bertujuan untuk mengukur dan meningkatkan kualitas layanan PT. Pos Gondang melalui integrasi metode Servqual dan Model Kano. Metode Servqual digunakan untuk menghitung kesenjangan antara kinerja pelayanan dengan harapan pelanggan, sedangkan Model Kano mengidentifikasi atribut layanan yang harus diprioritaskan untuk perbaikan. Berdasarkan analisis, terdapat 12 atribut yang memerlukan peningkatan segera, termasuk kecepatan layanan, ketepatan waktu pengiriman, dan kenyamanan fasilitas. Hasil penelitian menunjukkan bahwa implementasi perbaikan pada atribut prioritas tersebut dapat meningkatkan kepuasan pelanggan secara signifikan dan memperkuat posisi kompetitif PT. Pos Gondang di pasar logistik. Implikasi dari penelitian ini memberikan wawasan bagi perusahaan dalam menyusun strategi perbaikan layanan berbasis kebutuhan konsumen, sehingga mampu meningkatkan daya saing di tengah persaingan industri logistik yang dinamis.]]>
<![CDATA[Analisis Perbandingan Strategi Pengisian Ulang pada Masalah Electric Vehicle Routing Problem with Time Windows (EVRPTW): Studi Kasus Layanan Ekspedisi ]]>
<![CDATA[Haryanto, Zelania In Haryanto]]>;
<![CDATA[Ade Aisyah Arifna Putri]]>
<![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.v7i1.6291
<![CDATA[The growing market share of electric vehicles in Indonesia aligns with the government's initiatives to reduce greenhouse gas emissions and promote the adoption of electric vehicles to 30% of the total vehicle fleet by 2035. The constrained range of electric vehicles and the need for charging station accessibility present difficulties to efficient route planning. This study examines the Electric Vehicle Routing Problem with Time Windows (E-VRPTW), taking into account consumer demands and time constraints. Two battery charging strategies are assessed: full recharge (EVRPTW-FR) and partial recharge (EVRPTW-PR), employing the nearest neighbor heuristic algorithm for route optimization. The result indicates that the partial recharge strategy generates a lower total cost than the full recharge strategy, reaching a cost reduction of 13.14%. The partial recharge strategy requires fewer vehicles to serve all customers, thus lowering vehicle investment costs.]]>
<![CDATA[Implementasi Data Mining Dengan Metode K – Means Clustering Guna Menentukan Strategi Pemasaran Produk Konveksi ]]>
<![CDATA[Safina Dinara]]>
<![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.v7i1.6302
<![CDATA[Konveksi merupakan industry yang bergerak dalam produksi pakaian. Kemajuan industry ini semakin berkembang yang ditandai dengan semakin banyaknya pelaku usaha yang ada. Hal tersebut menimbulkan persaingan yang semakin ketat termasuk Zaya Konveksi. Penjualan produk Zaya Konveksi mengalami penurunan yang menyebabkan hasil pendapatan yang diperoleh terus menurun. Dengan seiring berkembangnya teknologi, pembelian produk dapat dilakukan melalui e – commerence. Hal tersebut dapat dijadikan sebagai solusi yang tepat untuk menghadapi permasalahan pada Zaya Konveksi. Akan tetapi, dalam penerapannya membutuhkan analisa secara rinci mengenai karakteristik konsumen dan segmentasi pasar yang ada. Maka dari itu, metode yang digunakan pada penelitian ini adalah K-Means Clustering. Metode ini digunakan untuk mengelompokkan konsumen yang memiliki karakteristik sama menjadi beberapa kluster. Berdasarkan hasil perhitungan, pemasangan iklan akan dilakukan pada platform yaitu, Instagram ads. Dengan target sasaran konsumen untuk cluster_0 adalah rentang usia 22 – 27 dengan jenis kelamin wanita yang berlokasi di Kabupaten Gresik dan produk yang akan dipasang dalam iklan adalah t – shirt dengan warna hitam. Untuk Cluster_1 rentang usia yang digunakan adalah 16 – 21 tahun dengan jenis kelamin wanita yang berlokasi di Kabupaten Sidoarjo dan produknya adalah hoodie dengan warna kuning. Untuk cluster_2 rentang usia yang digunakan adalah 16 – 21 tahun dengan jenis kelamin wanita yang berlokasi di Kabupaten Sidoarjo, dan produk yang akan digunakan dalam pemasangan iklan adalah hoodie dan raglan dengan warna biru. Kata kunci: Clustering ; K – Means ; Konveksi ; Promosi]]>
<![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
|
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Original Source
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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
|
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Original Source
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Check in Google Scholar
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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.]]>
