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INDONESIA
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri
Published by Universitas Kristen Petra Surabaya
ISSN : 14112485     EISSN : 20877439     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Jurnal Teknik Industri aims to: Promote a comprehensive approach to the application of industrial engineering in industries as well as incorporating viewpoints of different disciplines in industrial engineering. Strengthen academic exchange with other institutions. Encourage scientist, practicing engineers, and others to conduct research and other similar activities.
Arjuna Subject : -
Articles 8 Documents
 1 
Search results for , issue "Vol. 25 No. 2 (2023): December 2023" : 8 Documents clear
Design of Flood Barrier with Developed IoT-Based Flood Detection and Monitoring Systems Farell Ardani; Dino Caesaron; Agus Kusnayat
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.111-120

Abstract

Due to Indonesia's tropical climate, it experiences frequent heavy rainfall, which is the primary cause of flooding. Despite various solutions implemented, the issue of flooding persists. Consumers demand an effective emergency flood protection solution to prevent water from entering homes at any time. This product is a flood barrier specifically designed for installation at the front door of houses. The development of this flood barrier product aims to address user needs and ensure flood resistance. To achieve this, the Kano Method and Quality Function Deployment (QFD) are utilized in the product design process, aligning it with customer desires. The Finite Element Analysis (FEA) is employed in testing to assess the flood barrier's ability to contain water effectively. Moreover, the data representing the user requirements is collected from residents in the Baleendah area. Those residents houses have been affected by flooding. This area faces significant economic losses due to flooding, estimated at IDR 5,490,292,000,000. Bandung Regency is projected to have the highest frequency of flooding incidents in West Java in 2022, contributing to the broader issue of flooding in the province and country. The developed flood barrier product has successfully met most customer needs, leading to customer satisfaction. The product offers a reasonable price, customer customization options, and user-friendly features. The integration of Internet of Things (IoT) capabilities has been well received by users. The flood barrier product also demonstrates its efficacy in retaining floodwater through its low equivalent elastic strain, equivalent stress, and deformation values against hydrostatic pressure. These attributes enable the product to withstand floodwaters and prevent their entry into households.
Innovation to Improve Critical Thinking Skills in the Generation Z using Peeragogy as a Learning Approach and Artificial Intelligence (AI) as a Tool Gembong Baskoro; Ita Mariza; I Nyoman Sutapa
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.121-130

Abstract

The current generation, known as generation Z (Gen Z), is a generation that lives and is familiar with information technology in everyday life, including but not limited to learning purposes. Gen Z is characterized by teamwork in cyberspace and solving problems. Gen Z can also adopt artificial intelligence (AI) technology as their learning tool. Meanwhile, Gen Z faces the challenge of acquiring 21st-century skills requiring higher-order thinking (HOTS). This paper will focus on learning skills, especially critical thinking (CT). For this reason, it is essential to improve the competency of CT skills in Gen Z by using a model that combines the 7E learning cycle with peeragogy learning approach and adopting the latest AI applications as a tool. This model will contribute to the theoretical and practical use of AI apps for education, particularly the role of correct utilization of AI. Additionally, it can be misused to improve learning skills, especially CT skills. The results carried out in class show AI's effectiveness in improving CT skills for Gen Z, especially the role of AI in the back-end learning process, namely to verify and validate understanding. This paper suggests that AI apps should be controlled if used in the front-end learning process, especially at the exploration stage, to improve CT skills. Without controlling the AI apps, they can reduce learners' ability to explore a topic according to their creativity and criticality.
Integration of SCOR Model and AHP to Measure the Shipyard Supply Chain Performance: A Case Study Alfredo Tutuhatunewa; Nil Edwin Maitimu; Lely Marlen Hukunala
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.169-178

Abstract

A shipyard is an industry engaged in the construction or repair of ships. A shipyard's ability to complete its production depends on the supply chain. Its suppliers supply all the equipment and materials needed for shipbuilding and maintenance. The shipbuilding sector's supply chain's performance level must be measured to determine how well the existing process flow works. The research was conducted at the PT Dock and a shipyard company in Maluku, Indonesia. The measurement integrates the SCOR and AHP models to determine the existing supply chain performance. The data are collected through questionnaires and from the company archives. The study's findings demonstrate how simple it is to integrate the SCOR model with AHP to assess the shipbuilding sector's supply chain performance. The research proposes 21 KPIs. Those KPIs are constructed from literature studies and interviews with shipyard management. One of the AHP findings in this study states that the most important phase in the shipbuilding industry's supply chain is planning.
Feasibility Study of Charging Infrastructure to Increase Vehicle Electrification in Indonesia Ilza Athiyatamimy Hanun; Wahyudi Sutopo; Renny Rochani
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.141-152

Abstract

Progress in developing electric vehicles (EVs) has resulted in substantial advancements in recent years. EVs can effectively reduce carbon emissions while allowing vehicle manufacturers to build a strong presence in emerging markets. Nevertheless, the rapid growth of EVs in Indonesia requires more significant expansion. The lack of sufficient facilities to cope with the demand for EVs has led to customer reluctance to adopt this mode of transportation. Also, there is a notable hesitancy among manufacturers and business professionals to engage in the production of EVs and the establishment of charging infrastructure. This hesitation arises primarily from the lack of apparent market demand, which may be attributed to the significant investment costs associated with these ventures. This study, therefore, aims to develop an Annual Cost of the System (ACS) cost model to assess and select potential economically feasible and operationally feasible investments for the provision of Public Electric Vehicle Charging Stations (SPKLU) and Public Electric Vehicle Battery Exchange Stations (SPBKLU) services in Indonesia. When creating investment decisions, it is necessary to take into consideration a range of feasibility analysis variables, including but not limited to Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PBP). Moreover, this study additionally performed a sensitivity analysis to determine actionable recommendations for individuals within the business community.
Combined Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma for Generating Waste Reduction Strategy: A Proposed Model Demas Emirbuwono Basuki; Winda Nur Cahyo; Dwi Handayani; Ratna Agil Apriani; Rifki Nurul Mukarim
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.153-168

Abstract

Lean Six Sigma is a method that is quite effective in solving waste problems in the production process, but it is often not optimal because of the tools used in the DMAIC process. Therefore, we developed a proposed model by combining the Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma to reduce waste in the production process. The Waste Assessment Model was used at the defined stage to identify waste, while the Fuzzy-FMEA was used for priority waste risk analysis at the analysis stage. Based on the results of the Waste Assessment Model case study, defects were the most influential waste, with a percentage of 22.38%. At the analysis stage using Pareto diagrams, tearing was the dominant defect in the Nike Extreme. Based on calculations using the Fuzzy-FMEA method, the highest cause of defects was errors in processes or missed processes that caused the failure. Improvement was carried out at the improvement stage, and we found it necessary to carry out intensive and periodic control or supervision of the Nike Extreme production process. Based on these results, the proposed Lean Six Sigma model can be used to identify and reduce waste in the production process.
A Multi-Objective Optimization Model for Home Health Care Routing and Scheduling with a Case Study Cucuk Nur Rosyidi; Annisa Puja Ramadandhyna; Pringgo Widyo Laksono
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.131-140

Abstract

Home health care (HHC) is a health service provided by a hospital so that patients can be taken care of at their homes. Assigning multiple caregivers to serve patients during working hours is one of the main issues in HHC planning. In this study, multi-objective mixed-integer nonlinear programming was formulated for HHC daily planning. The model aims to simultaneously minimize total service time, total traveled distance, total cost comprising the opportunity loss from unvisited patients and penalty cost due to the violation of gender preference, and total carbon emissions generated by the caregiver’s vehicle. Using real data from Dr. Moewardi Hospital, a case study was provided in order to show the applicability of the model. The model can be utilized to assist the HHC coordinator in determining the optimal schedule and routing of HHC visits.
A Two-Machine Flow Shop Batch Scheduling Model to Minimize Total Actual Flow Time Rinto Yusriski; Andri Rachmat Kumalasian Nasution; Lukas Lukas; Linda Wijayanti; Sandra Octaviani
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.179-194

Abstract

This study introduces a scheduling model for a two-machine flow shop batch system to minimize the actual flow time. In this system, two machines are responsible for processing raw materials and producing finished products, with a single bottleneck machine. The entity overseeing the manufacturing process organizes demand units into batches, ensures the accurate and timely arrival of raw materials, and delivers all finished products punctually to meet an expected due date. The study addresses crucial challenges, including determining the optimal number of batches, sizes, and sequences to achieve the specified objective. The analysis adopted an algorithm grounded in the Lagrange relaxation method to tackle these challenges. Moreover, the algorithm is operated by identifying the bottleneck machine as a scheduling reference and determining the appropriate number of batches and sizes. The analysis showed the efficacy of the developed algorithm by using Johnson's rule for making batch sequence decisions through numerical experiments conducted across 1000 cases. The results showed a 1.44% to 4.43% improvement in efficiency compared to previous research, accompanied by a 2–8 times reduction in computational time.
Front Matter (Cover, Editorial, Table of Content) Jurnal Teknik Industri
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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