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All Journal Jurnal Teknik Industri CAUCHY: Jurnal Matematika Murni dan Aplikasi Industrial and Systems Engineering Assessment Journal (INASEA) Jurnal Optimasi Sistem Industri PERFORMA : Media Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Indonesian Journal of Computing, Engineering, and Design SEMAR Makara Journal of Technology Jurnal Pengabdian Masyarakat dan aplikasi Teknologi
Cucuk Nur Rosyidi
Universitas Sebelas Maret
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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ANALISIS LOYALITAS MEREK PADA PRODUK SEPEDA MOTOR MENGGUNAKAN MARKOV CHAINS Rosyidi, Cucuk Nur; Aisyati, Azizah; Ramadhani, Fitria
Industrial and Systems Engineering Assessment Journal (INASEA) Vol 13, No 1 (2012): INASEA Vol. 13 No. 1
Publisher : Industrial and Systems Engineering Assessment Journal (INASEA)

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Abstract

The aim of this research is to analyze the probability of customer to switch from one brand of motorcycle to another. In this research, Markov Chains is used to analyze the switching probability. This research begins with identification of the initial marketing variables. In order to analyze brand loyalty with Markov Chains, three types of motorcycle from economic under-bone class (110-115cc) have been selected namely Absolute Revo, Vega ZR, Smash Titan and other types outside the class are used as comparison. Mann Whitney U Test is used to examine whether there are differences on marketing variables between men and women when selecting their motorcycle. The result of this research shows that the most loyal customer is in the type of motorcycle outside the economic underbone class. The most affecting variables that determine the existing motorcycle preferences is the availability of spareparts and the number of authorized service center for Absolute Revo, comfortable while driving for Vega ZR, and reliability motorcycle engine for Smash Titan and other types. The most variables that determine switching to another type of motorcycle is the product innovation. The results of Mann Whitney U test show that there are significant differences in marketing variables between male and female in existing motorcycle preferences which are motorcycle design and engine specifications.
Model Persediaan Pemasok-Pembeli Dengan Produk Cacat Dan Kecepatan Produksi Terkontrol. Sejati, Nelita Putri; Jauhari, Wakhid Ahmad; Rosyidi, Cucuk Nur
Jurnal Teknik Industri Vol 15, No 2 (2014): Agustus
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.345 KB) | DOI: 10.22219/JTIUMM.Vol15.No2.103-111

Abstract

In this paper, we consider a joint economic lot size (JELS) model consisting of single vendor single buyerwith single product. We intend to study the impact of defective items and controllable production rate onthe model. The demand in buyer side is assumed to be stochastic. The delivery of lot from vendor to buyer is conducted under equal size shipment and the lead time is assumed to be constant. The defective items founded by the inspector in buyer side are carried in buyer’s storage until the next shipment and will be returned to the vendor. The goal of the proposed model is to determine optimal delivery frequency, review period and production rate by minimizing the joint total cost. A sensitivity analysis is performed to show the impact of the changes of the decision variables on model’s behavior. The result from the sensitivity analysis shows that the joint total cost is sensitive to the changes of defect rate, demand uncertainty and demand rate. 
MODEL PEMILIHAN PROSES UNTUK MEMINIMALKAN BIAYA MANUFAKTUR, KERUGIAN KUALITAS, DAN KETERLAMBATAN PENGIRIMAN Fatmawati, Ani; Rosyidi, Cucuk Nur; Jauhari, Wakhid Ahmad
Jurnal Teknik Industri Vol 13, No 2 (2012): Agustus
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (228.21 KB) | DOI: 10.22219/JTIUMM.Vol13.No2.109-115

Abstract

There are three aspects of competitive strategy that can be applied by manufacturing companies: quality, cost, anddelivery time. Actually, it is hard to produce high quality poducts in low manufacturing cost and on time delivery. Hence, a process selection is needed to integrated the three aspects above in order to meet a customer requirement. This research develops a process selection model to minimize manufacturing cost, quality loss cost, and lateness cost considering component spesification, delivery time, production capacity, and customer order. A numerical example is given to show the application of the model using an assembly product that consists of three components. Three machines are used to produce all of the components. Each machine has different characteristic in manufacturing cost, tolerances, and processing time. Total cost that used to produce 100 unit assembly product is Rp5.390.970,00.
Order Allocation Model Considering Transportation Alternatives and Lateral Transhipment Ashylla Maharani; Cucuk Nur Rosyidi; Pringgo Widyo Laksono
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in May 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.45 KB) | DOI: 10.25077/josi.v21.n1.p38-45.2022

Abstract

Intense competition among companies encourages them to provide the best quality of products in competitive price. It is important for company to manage supply chain properly in order to achieve that. Selecting the best reliable supplier is the key to reduce purchasing cost, increase customer satisfaction and improve the competitive ability. In this study, we develop an order allocation model in multi echelon environment which includes supplier, manufacturer, and retailer. We consider transportation alternatives for the shipment from supplier to manufacturer and also the shipment from manufacturer to retailer. This model allows lateral transshipment between retailers.  A Mixed Integer Linear Programming (MILP) is used to model the system. Sensitivity analysis is conducted at the end of the research. The result shows that the retailer demand, lead time, material variable price are sensitive to the objective function while the transportation costs from supplier to manufacturer, from manufacturer to retailers, and between retailers are not sensitive to the objective function. Retailer demand parameter is also sensitive to all decision variables. The transportation cost from supplier to manufacturer, material prices, and lead time are sensitive to the order allocation from manufacturer to supplier, while transportation cost from manufacturer to retailers and transportation cost between retailers are sensitive to the allocation of product sent from the manufacturer to retailers and the allocation of product sent between retailers.
Make or Buy Analysis Model Based on Tolerance Design to Minimize Manufacturing Cost and Quality Loss Rosyidi, Cucuk Nur; Akbar, Reza Rizkichani; Jauhari, Wakhid Ahmad
Makara Journal of Technology Vol. 18, No. 2
Publisher : UI Scholars Hub

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Abstract

In a manufacturing company, manufacturing costs, or component prices, and tolerance will affect the price and the quality of a product. Companies must produce high-quality products with low manufacturing costs in order to keep their products competitive in the market; however, it is difficult to produce a high-quality product with a low manufacturing cost. Companies have difficulties in determining the components to be produced using their own manufacturing facilities (make) or outsourced to their suppliers (buy). Hence, a make or buy analysis is needed to minimize the manufacturing costs and quality loss and to determine the optimum alternative regarding make or buy decisions. This paper discusses an optimization model of a make or buy analysis for a manufacturing company in order to minimize the manufacturing costs and the quality loss in terms of manufacturer and customer quality loss. A numerical example is provided to show the application of the model using a simple assembly product consisting of three components. There are two machines that can be used to produce the components and three alternatives of suppliers to fulfill the order. Each machine and supplier have different characteristics in terms of manufacturing costs and its tolerance.
A Mixed Integer Linear Programming Model of Order Allocation Involving Mass Customization Logistic Service (MCLS) Cucuk Nur Rosyidi; Nina Salsabila Sulistiani; Pringgo Widyo Laksono
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 7, No 3 (2022): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i3.15398

Abstract

In an increasing business competition, a company has to improve its competitiveness by focus more on supply chain management. One of the crucial problems in supply chain deals with the allocation of orders. More and more companies are starting to adoptMass Customization Logistics Service (MCLS) mode to determine the optimal allocations of order both from suppliers and to customized logistics services at the possible lowest cost. For this purpose, a third party is needed, namely Logistic Service Integrator (LSI) in providing logistics services. However, since LSI cannot meet all customer needs, LSI chooses to outsource logistics tasks to a Functional Logistics Service Provider (FLSP). This research was developed to help decision-makers ofmanufacturing companies in making optimal decision concerning order allocations that minimize the total supply chain costs involving Mass Customization Logistics Service (MCLS).
Perancangan Perangkat Pembelajaran Internet of Things (IoT) dan Pengenalan Robotika Kepada Siswa Sekolah Menengah di Surakarta Sekitarnya Pringgo Widyo Laksono; Retno Wulan Damayanti; Cucuk Nur Rosyidi; Eko Pujiyanto; Wakhid Ahmad Jauhari; Anindya Rachma Dwicahyani
Jurnal Pengabdian Masyarakat dan aplikasi Teknologi (Adipati) Vol 2, No 2 (2023)
Publisher : Institut Teknologi Adhi Tama Surabaya

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Abstract

Pemahaman dan keterampilan pada siswa sekolah menengah mengenai Internet of Things (IoT) dan teknologi robotika adalah hal yang penting untuk menjawab tantangan global. Melalui pengenalan IoT dan robotika, siswa mendapatkan kesempatan untuk merancang, membangun, dan memprogram perangkat IoT dan robot secara langsung. Tujuan program ini adalah untuk memperkenalkan siswa pada konsep dan penerapan teknologi serta membantu mereka mengembangkan keterampilan yang relevan untuk dunia kerja abad ke-21. Siswa diharapkan dapat meningkatkan pemahaman mereka tentang IoT dan robotika, sehingga mereka lebih siap menghadapi tuntutan dunia kerja yang semakin berkembang di era revolusi industri 4.0. Selain itu, mitra industri yang terlibat dalam program ini, CV Enuma Technology, akan mendapatkan manfaat dalam mengembangkan produk media pembelajaran yang dapat dikomersilikilkan di pasar secara lebih luas. Melalui program ini, mitra industri dapat meningkatkan kualitas produk yang dibutuhkan oleh konsumen serta meningkatkan daya saing di pasar teknologi yang terus berkembang.
An integrated Optimization Model of Product Mix, Assortment Packing, and Distribution in A Fashion Footwear Company Cucuk Nur Rosyidi; Erina Annastya Octaviani; Pringgo Widyo Laksono
Jurnal Optimasi Sistem Industri Vol. 22 No. 2 (2023): Published in December 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v22.n2.p142-152.2023

Abstract

Recognizing the paramount importance of operational effectiveness and resource management in supply chain management (SCM) of the fashion industry, this study addresses a specific challenge faced by a prominent Indonesian fashion footwear company. The inefficiency is due to repetitive sorting and packaging processes during product distribution, which significantly impact optimal production mixes and product distribution from the distribution center to the point of sale. A crucial aspect is also the optimization of the delivery route. To address these challenges and minimize the total cost of ownership, the study proposes an integrated optimization model. This model simultaneously determines the optimal production quantity, assortment packaging, and distribution channels, taking into account decision variables related to distribution in configuration boxes, overload and underload products, as well as production numbers that respond to store-specific demand fluctuations. A notable contribution of this research is the integration of product mix decisions into the assortment packaging and distribution model, which represents a novel approach. The optimal solution determined using the LINGO 18.0 software highlights the significant influence of product penalty costs and product demand parameters on the objective function, while shipping costs have no noticeable influence. By emphasizing the integration of product mix decisions into the optimization framework, this research contributes significantly to improving the understanding and practical application of efficient supply chain management in the fashion industry.
Perancangan Perangkat Pembelajaran Internet of Things (IoT) dan Pengenalan Robotika Kepada Siswa Sekolah Menengah di Surakarta Sekitarnya Laksono, Pringgo Widyo; Damayanti, Retno Wulan; Rosyidi, Cucuk Nur; Pujiyanto, Eko; Jauhari, Wakhid Ahmad; Dwicahyani, Anindya Rachma
Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Vol. 2, No. 2: August 2023
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.adipati.2023.v2i2.4784

Abstract

Pemahaman dan keterampilan pada siswa sekolah menengah mengenai Internet of Things (IoT) dan teknologi robotika adalah hal yang penting untuk menjawab tantangan global. Melalui pengenalan IoT dan robotika, siswa mendapatkan kesempatan untuk merancang, membangun, dan memprogram perangkat IoT dan robot secara langsung. Tujuan program ini adalah untuk memperkenalkan siswa pada konsep dan penerapan teknologi serta membantu mereka mengembangkan keterampilan yang relevan untuk dunia kerja abad ke-21. Siswa diharapkan dapat meningkatkan pemahaman mereka tentang IoT dan robotika, sehingga mereka lebih siap menghadapi tuntutan dunia kerja yang semakin berkembang di era revolusi industri 4.0. Selain itu, mitra industri yang terlibat dalam program ini, CV Enuma Technology, akan mendapatkan manfaat dalam mengembangkan produk media pembelajaran yang dapat dikomersilikilkan di pasar secara lebih luas. Melalui program ini, mitra industri dapat meningkatkan kualitas produk yang dibutuhkan oleh konsumen serta meningkatkan daya saing di pasar teknologi yang terus berkembang.
A Mixed Integer Linear Programming Model of Order Allocation Involving Mass Customization Logistic Service (MCLS) Rosyidi, Cucuk Nur; Sulistiani, Nina Salsabila; Laksono, Pringgo Widyo
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 7, No 3 (2022): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i3.15398

Abstract

In an increasing business competition, a company has to improve its competitiveness by focus more on supply chain management. One of the crucial problems in supply chain deals with the allocation of orders. More and more companies are starting to adoptMass Customization Logistics Service (MCLS) mode to determine the optimal allocations of order both from suppliers and to customized logistics services at the possible lowest cost. For this purpose, a third party is needed, namely Logistic Service Integrator (LSI) in providing logistics services. However, since LSI cannot meet all customer needs, LSI chooses to outsource logistics tasks to a Functional Logistics Service Provider (FLSP). This research was developed to help decision-makers ofmanufacturing companies in making optimal decision concerning order allocations that minimize the total supply chain costs involving Mass Customization Logistics Service (MCLS).
Co-Authors Akbar, Reza Rizkichani Anindya Rachma Dwicahyani Aqidawati, Era Febriana Ashylla Maharani Azizah Aisyati Bambang Suhardi Bin Yusoff, Ahmad Razlan Dwicahyani, Anindya Rachma Eko Pujiyanto Enty Nur Hayati Erina Annastya Octaviani Fatmawati, Ani Fawzi Zamria, Mohd Fitria Ramadhani Hendix, Andreas Wegiq Adia Hernandoko, Nauval Hikmah Fadilla, Ryan Hutomo, Ricky Iksan Adiasa Irwan Irwan Kebela, Fuji Tori Khasanah, Alfia Makrifatul Muhammad Faizal Muhammad Hafidz Fazli Bin Md Fauadi Nariswari, Nanda Lokita Nina Salsabila Sulistiani Nor Sufyan Sudin, Mohd Pringgo Widyo Laksono Pringgo Widyo Laksono Pujiyanto, Eko Ramadandhyna, Annisa Puja Retno Wulan Damayanti Retno Wulan Damayanti Reza Rizkichani Akbar Sejati, Nelita Putri Sitanggang, Indah Valentinova Sulistiani, Nina Salsabila Wakhid Ahmad Jauhari Wakhid Ahmad Jauhari Winarno Winarno Yusuf Priyandari