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Jurnal Ilmiah Teknik Industri
Published by Universitas Muhammadiyah Surakarta
ISSN : 14126869     EISSN : 24604038     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Jurnal Ilmiah Teknik Industri is a scientific journal that aims to participate in developing the scientific field of Industrial Engineering, contains the results of research and theoretical study from lecturers, researchers and industry practitioners. Jurnal Ilmiah Teknik Industri is administered by the Department of Industrial Engineering, Faculty of Engineering, Universitas Muhammadiyah Surakarta and published by the Muhammadiyah University Press (MUP).
Arjuna Subject : -
Articles 766 Documents
 72   73   74   75   76 
Study of 3D Printing Layered Fiber Fabric Filaments as an Alternative to Polypropylene Materials in Ankle Foot Orthosis for Children with Cerebral Palsy Muhammad Fiqran Alauddin; Susy Susmartini; Lobes Herdiman
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21433

Abstract

Children with CP in the moderate category need to use AFO to be able to walk. AFO products with PP materials used by CP children have drawbacks because the design needs of CP children are different. The application of additive manufacture by adding a layer of fiber fabric expected to replace PP materials. The basic materials for making AFO are PLA, ABS, PETG and PC filaments with carbon and texalium fabric types. Tests are carried out through tensile and impact tests to obtain tension and impact values. The treatment factors used in the process of making specimen are lamination, type of filament, and thickness. This study uses a factorial design model, to determine the significance value of each factor using ANOVA. The results show a polycarbonate filament layered with carbon fabric with a tension of 301.064 MPa, and an impact of 40.68 J/m.
Identification of Production Decline Factors using the LEAN DMAI Method Ika Widya Ardhyani; Sherly Ardhya Garini; Fitri Suhartiningrum; Qurrota Akyun
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.20013

Abstract

PT Himalaya Mitra Sukses, is a company engaged in the cooking seasoning and flavoring industry. The products produced include tomato sauce, chili sauce, and premix flour. The company has problems achieving less than optimal productivity, which later became the basis of this research. In this research, identification of waste that occurs in the production process using the Lean DMAI method. The data in this research were processed and analyzed based on 4 main stages: (1) Big Picture Mapping (BPM); (2) making Pareto Diagrams; (3) Root Cause Analysis (RCA); (4) the Failure Mode Effect and Analysis (FMEA) method to reduce the existing waste. Based on the results of the research, it is known that the types of waste identified are overproduction, defects, waiting processes, unnecessary inventory, and excess displacement. Of these many factors, the largest waste is caused by the defect factor of the tomato sauce type product which is runny and too acidic, because the operator does not follow the existing SOP with an RPN value of 392.
No-Wait Flowshop Permutation Scheduling Problem : Fire Hawk Optimizer Vs Beluga Whale Optimization Algorithm Muhammad Aghniya Baihaqi; Dana Marsetiya Utama
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21128

Abstract

No-Wait Flowshop Permutation Scheduling Problem (NWPFSP) is a scheduling problem that states that every job completed on machine n must be processed immediately on the next machine. The NWPFSP problem is an extension of the flowshop problem. This article proposes two new algorithms fire hawk optimization and beluga whale optimization, to solve the NWPFSP problem and minimize makespan. The two new algorithms developed to solve the NWPFSP problem are tested on three different cases. Each algorithm was run 30 times and was compared using an independent sample t-test. The results were also compared with the Campbell Dudek Smtih algorithm. In addition, the effectiveness of the FHO and BWO algorithms was assessed against the CDS algorithm using the Relative Error Percentage (REP) method. The results show that the FHO and BWO algorithms are better at solving NWPFSP problems when compared to the CDS algorithm. However, the BWO algorithm is more recommended in cases with large data because it can provide better results.
Analysis of Beef Halal Critical Points with Halal Logistics Approach and Risk Management Nabila Noor Qisthani; Syarif Hidayatuloh; Yulinda Uswatun Kasanah
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.20617

Abstract

The increase in the number of certified halal products shows the Indonesian people's increasing level of awareness of the halalness of a product. In addition, people are also increasingly curious about all the activities involved along the supply chain to ensure whether the products they buy are genuinely halal. One of the consumer products that need to be traced to the halal supply chain is beef products because there is a risk of contamination throughout the supply chain from raw materials, production processes, distribution, storage and handling. Calculation of risk in this study will use the House of Risk (HOR) method. This research focuses on the process of inbound and outbound logistics and the beef slaughtering process at the Purwokerto Slaughterhouse. The results of this study obtained 26 risk events and 28 risk agents. Based on risk mapping using phase 1 and Pareto HOR diagrams, 11 risks are prioritized based on the highest ARP values, namely A15, A25, A19, A7, A5, A28, A6, A2, A16, A17, and A21. Moreover, it made 14 recommendations for mitigation actions that the company can apply to control these risks.
Design of a Digital Logistics System for Cabya (Piper retrofractum Vahl) Commodities to Optimize Export Needs Issa Dyah Utami; Mu'ammal Syauqi
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21663

Abstract

Madura Island has a variety of quality crops, such as medicinal plants, one of which is Cabya (Piper retrofractum Vahl). The need for Cabya for exports is enormous, but Indonesia can only meet the demand for about a third. The highest production of Cabya is in East Java, especially in Madura. This research proposes a digital logistic system to forecast demand for Cabyaexports and manage Cabya stocks through forecasting yields and inventory management processes. The research was conducted in Sumenep regency that produce the highest number and the best quality Cabya in East Java. The Markov Chain method forecasts yields for the next five years. Then Forecasting results are integrated with an information system to manage the logistics of Cabya. The logistics system resulting from this research can be used by the government and export managers of Cabya to optimize the demand for Cabya exports. Further research can be carried out by integrating Inventory control methods to improve the logistics system's accuracy and calculate the inventory's total cost.
Conceptual Design of Business Model Canvas Mobile Battery Swap Charging Station Renny Rochani; Wahyudi Sutopo; Roni Zakaria; Fakhrina Fahma
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21247

Abstract

The users of electric motorcycle in Indonesia are currently still limited. This is due to three main things, namely the limited amount of energy charging infrastructure, the lack of socialization regarding the knowledge of technical aspects of electric motorcycle and the financing aspects of electric motorcycle ownership. This research develops a conceptual design business model canvas of Mobile Battery Swap Charging Stations (MBSCS) for electric motorcycles which aim to find solutions to the three problems above. The development of the MBSCS model is an alternative to increase the number of electric charging infrastructure quickly, because the advantages of MBSCS include having a higher level of flexibility and simpler installation than Fixed Charging Stations. This research combines the need of increasing infrastructure and improving socialization to the community regarding the advantages of using electric motorcycle through marketing communication media. Increasing the understanding of technical aspects of electric motorcycle is expected to increase people's motivation to adopt electric motorcycle. This research uses secondary data to explore MBSCS business canvas model (BMC), MBSCS ecosystem, and MBSCS prototype design. The analysis illustrates the MBSCS ecosystem that align with the motorcycle users in Indonesia.  The existence of MBSCS is expected to significantly increase the buying interest, adoption, and diffusion of electric motors more broadly.
Design Strategy for Improving Employee Retention Based on Two-Factors Theory Naufal Ghaliya Salsabil; Winda Nur Cahyo
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21750

Abstract

One of the most important assets of an organization is their own employee. The effect of the employee is more impactful compared to other assets such as technology, information, and finance. The importance of managing strong employee retention for increasing employee performance cannot be overstated. The purpose of the following research is to find Factors that crucially affect employee retention based on Herzberg Two-Factors Theory and develop solutions based on findings. Data gathered by conducting participatory research with company stakeholders and researchers. Hence, the study utilized Analytical Hierarchy Processing as decision making tools to identify crucial factors. Hence, based on findings Salary becoming the crucial part affecting employee retention for this case which was conducted at PT. WASABI. Therefore further development in payment methods that in accordance with the amount of product produced is needed to make sure the payment is enough and fair for production workers to maintain a good retention rate.
Smart Production Planning Model for T-Shirt Products at Raensa Convection Sesar Husen Santosa; Agung Prayudha Hidayat; Ridwan Siskandar; Khoirul Aziz Husyairi
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21398

Abstract

The increasing stock condition of cotton combed 30s t-shirts causes Convection to require optimal production planning, influenced by demand, safety stock, and selling price. The analysis of forecasting demand for t-shirts obtained a need for 217 t-shirts using the Multiplicative Decomposition forecasting method with MAD = 22.47 and MAPE = 0.17. Based on demand data for 1 year, the Safety Stock that must be maintained is 126 shirts/month or 3 shirts/week. The optimal production defuzzification results are 369 t-shirts with 81 fuzzy rules used. The Master Production Planning (MPS) directs the production schedule to be carried out in January, scheduled for the 4th week of December the previous year, as many as 123 shirts and ended on the third Sunday in January as many as 92 shirts to maintain stock conditions and meet the demand of consumer.
Comparative Study of The Conventional Curing Machine with The Electric at Aluna Masaran Batik Manufacturer Industry S. , Suharno; J. , Joemintono; Aji Widi Kuncoro; Dewa Akbar Rasta Pradana; Muhammad Ghozali; Muhammad Ridwan; Muhammad Sholeh
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21666

Abstract

The batik industry is constantly increasing its production. During production, a curing machine is used to dry the batik after the printing/screening process. The main problem with conventional machines is their inability to produce maximum heat. Currently, they are used in most industries and generate uneven heat, with LPG gas as the main fuel. Therefore, this study aims to develop an electric curing machine as an alternative to overcome the challenges of the conventional type It was carried out using a sample of the experimental test site selected through a purposive sampling method, namely the Aluna Batik industry in Masaran, Sragen. The data were collected by observing the outcomes of mechanical engineering and analyzed using descriptive methods. The results showed that conventional curing provides an advantage in the speed of heat supply, while electric curing stabilizes heat requirements. This showed that the electric machine is more profitable for large and fast quantities production, while the conventional is ideal for daily production.
Convolutional Neural Network for Identification of Personal Protective Equipment Usage Compliance in Manufacturing Laboratory Khania O.P.P. Nugraha; Achmad Pratama Rifai
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21826

Abstract

Data from the Badan Penyelenggara Jaminan Sosial (BPJS) Ketenagakerjaan Indonesia from 2019 to 2021 shows that the number of work accident victims who claimed Work Accident Insurance (Jaminan Kecelakaan Kerja / JKK) continues to increase. The high number of work accidents is mostly caused by unsafe behavior at work sites, one of which is in terms of compliance with the use of Personal Protective Equipment (PPE). One tool that is considered important as a step in reducing work accidents is an identification system for compliance of personal protective safety equipment use that can detect PPE used by visitors or workers. This study develops an automatic identification system that is built using the Convolutional Neural Network (CNN) to identify the use of PPE in the manufacturing technology laboratory. The CNN models used are the 4th and 5th versions of You Only Look Once (YOLO) which are then compared based on two methods: train from scratch and transfer learning. The dataset used for building the detection system has 11,579 images consisting of six classes of PPE objects. Overall performance of the proposed models shows very good results. Moreover, the comparison result among the three models shows that YOLOv5 transfer learning has the best performance with the best precision (94.2 %), recall (91.8 %), and mAP (88.6%).

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