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International Journal of Industrial Engineering and Engineering Management
Published by Universitas Atma Jaya Yogyakarta
ISSN : -     EISSN : 26854090     DOI : https://doi.org/10.24002/ijieem
Core Subject : Engineering,
Industrial & Manufacturing Engineering
International Journal of Industrial Engineering and Engineering Management (IJIEEM) is an open access scientific journal that publishes theoretical and empirical peer-reviewed articles, which contribute to advance the understanding of phenomena related with all aspects of Industrial Engineering and Engineering Management
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 94 Documents
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Lexicon-based Sentiment Analysis for Product Design and Development Sutrilastyo, Sutrilastyo; Diar Astanti , Ririn
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4351

Abstract

This paper discusses the role of text mining and sentiment analysis in collecting and analyzing customers’ verbatim/voice of the customer for product design and development. In the illustration case of designing car underbody, the data were collected from a car online forum discussion website and processed using text mining techniques with “underbody” as a keyword. The result of the analysis finds there are worries regarding underbody durability against rust and damages. This finding is used as a reference point for the car underbody design process.
Factor Selection in Drilling Unidirectional Carbon Fiber Reinforced Plastic Composite Plates with The HSS Drill Bit Using Analytic Hierarchy Process Oke, Sunday Ayoola; Odusoro, Salome Ifeoluwa
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4414

Abstract

The present state of competition within the plastic composite industry calls for efficiency to be competitive. However, in the drilling of carbon-fiber-reinforced plastic (CFRP) composites, the process engineer still lacks knowledge of the priority of parameters as parameters are chosen at random, and resources are deployed without justification on their importance and strength. Consequently, production crises and productivity losses persist. In this article, the analytic hierarchy process (AHP) method is deployed to evaluate the weights of criteria in a CFRP composite drilling operation. The establishment of the decision, alternatives, and criteria is accomplished, and pairwise comparisons are conducted to allow the computation of the importance weight of each criterion. The weight is then established. The proposed approach was illustrated with experimental data from the literature with a plastic drilling case. Six criteria were chosen as crucial in determining the drilling parameters of CFRP composites. The results reveal the following: thrust force (0.413), torque (0.253), eccentricity (0.151), surface roughness (0.115), delamination at entry (0.037) and delamination at exit (0.030). In a validation exercise to ascertain the consistency of the analysis, a consistent analysis was obtained. The novelty of the article is using the AHP approach on the drilling of CFRP composites. Practically, these results impact operator training, indicating that attention should be focused on thrust force control. The industrial applications of CFRP composites include the basic structures of automobiles, ships, and airplanes.
An Implementation of A Combined DEA-PROMETHEE Method for The Hull of A Ship Application Maduekwe, Victor Chidiebere; Oke, Sunday Ayoola
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4437

Abstract

The selection of an appropriate parameter in a water absorption process experiment is an important route to reducing fabrication wastes and ensuring the optimum deployment of scarce process resources to the appropriate parameter. However, the literature is inadequate in providing an appropriate direction on selecting parameters for the hull of the ships' application due to the conflicting requirements of the interested parties. A novel method called the Data Environment Analysis (DEA) to overcome this problem. Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) method is deployed to establish the appropriate parameter in a water absorption process on epoxy composite. The net outranking results show that criterion B (final weight) is placed in the first position. The criterion A (initial weight), D (thickness), and C (length) are placed in the second, third, and fourth positions, respectively, while E (time) is not necessary to the achievement of the system's goals. The key novelty is the unique application of the fused DEA-PROMETHEE method to a composite using the Taguchi signal-to-noise ratio response table for the hull of a ship. The method enhances the performance of multiple inputs (parameters) and multiple outputs (responses). The results of the DEA method-PROMETHEE method established the potential of epoxy composite to be used on the ship for the hull component. This could reduce the waste generated in the system, and guided allocation of resources are made to the appropriate parameters and, consequently, enhance the shipping company's profit. Furthermore, the results could improve the shipping vessel performance and develop a sustainable practice, which will lengthen the lifespan of the shipping industry.
A Fuzzy Analytic Hierarchical Method to Reduce Imprecision and Uncertainty in Drilling Operation’s Factor Selection Process for Unidirectional Carbon Fibre Reinforced Plastic Composite Plates Odusoro, Salome Ifeoluwa; Oke, Sunday Ayoola
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4447

Abstract

Parametric selection in machining processes is recently understood as a route to reducing waste generation in drilling activities and achieving a robust resource distribution in drilling activities. However, the selection methods dominant in the literature lack competence in reducing uncertainties and imprecision associated with the drilling process. The purpose of this research is to reduce the uncertainty and imprecision in previously analyzed data that used the analytic hierarchy process (AHP) method. This paper adjusts the uncertainty and imprecision by introducing a geometric mean-based fuzzy analytic hierarchy process. The selection method influences the drilling expert's preferences by imposing the fuzzy theory in a triangular member function that converts the crisp numerical values into fuzzy members and adequately suppresses the imprecision and uncertainty in the elements. The thrust force was positioned first in ranking with a FAHP method's weight of 0.415, which matched the literature value of 0.413 for the AHP method. It was found that the use of the FAHP method has corrected the imprecision and uncertainty introduced by the AHP method. It was found that the thrust force and torque were overestimated by or 0.48% and 3.95%, respectively and was accordingly corrected. Besides, no errors were found with the measurement of eccentricity response. Furthermore, the entry delamination, exit delamination and surface roughness were underestimated by -8.11%, -3.33% and -6.96%, respectively, and therefore corrected by the FAHP method. The usefulness of this effort is to enhance cost-effective decisions and the effectiveness in the distribution of scarce drilling resources.
Literature Review of Job Description: Meta-analysis Switasarra, Adelia Veneska; Astanti, Ririn Diar
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4923

Abstract

A job description document is a formal document that exists in the organization that usually has a formal social structure. Whether it is a small-scale organization to a large-scale organization, every formal organization usually has this document. The study presented in this paper tries to present the summary of the research related to the job description document. In the previous research, there is less attention has been given to explore the role of a job description in the various aspects of decision making in the company. Therefore, the importance and the role of the job description to the company, especially in supporting decision-making in the company, is explored in this study. In this study, we reviewed 43 papers published between 2001 and 2021. Several aspects related to job description such as 1) Definition of the job description; 2) Development of job descriptions; and 3) Benefits of job descriptions based on four reviewed papers are explained. The selected articles are taken from the article database engine: Emerald Insight, Semantic Scholar, Proquest, Science Direct, Elsevier, Springer Link with the keyword "Job Description". The intention of this review is to address the following questions related to (i) in what aspect the research related to job descriptions are conducted; (ii) what the contribution of job descriptions document to the decision-making in the company.
Novel EDAS-Taguchi and EDAS-Taguchi-Pareto Methods for Wire EDM Process Parametric Selection of Ni55.8Ti (Nitinol) Shape Memory Alloy Okponyia, Kenechukwu Obinna; Oke, Sunday Ayoola
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 2 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i2.4998

Abstract

The EDAS (evaluation based on distance from average solution) method is a broadly utilized tool for multi-criteria analysis with the ability to handle several conflicting criteria. The Taguchi method is an optimization tool with economic capability in experimentation. This article presents EDAS Taguchi (EDAS-T) method based on EDAS and the Taguchi method. It also presents EDAS Taguchi-Pareto (EDAS-TP) method framed from EDAS and Taguchi-Pareto methods. Furthermore, data from the literature to test the proposed methods are presented, which the results are compared. This research shows that the EDAS method produces the optimum combination of parameters at a run with a current of 4A, pulse on time of 50 µs, pulse off time of 14ms, and powder concentration of 1 g/L. Also, the EDAS-Taguchi method reveals a current of 4A, pulse on time of 60 µs, pulse off time of 14 µs, and powder concentration of 1 g/L. However, the principal result is that using the EDAS Taguchi-Pareto method, the optimal current is 3A, pulse on time is 60 µs, and powder concentration is 0.75g/L. The EDAS Taguchi-Pareto method eliminated the pulse off time and pulse on time, claiming that it is not significant to the system's optimum performance. The principal novelty of this article is that it introduces a mechanism of concurrently optimizing and selecting the wire EDM process parameters using the EDAS-Taguchi-Pareto method. The optimization is parallelly conducted as selection occurs, providing an initial notification to ascertain timely detection and control of local optimality of parameters to global optimization before final selection. This is unlike most evaluations, where optimization is done differently from the selection. This study is the first to develop and use EDAS methods for the WEDM process of Ni55.8Ti shape memory alloy.
Optimizing Turning Parameters for The Turning Operations of Inconel X750 Alloy with Nanofluids Using Direct and Aspect Ratio-based Taguchi Methods Oke, Sunday Ayoola; Adegoke, Ridwan Majekodunmi
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 2 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i2.5457

Abstract

For the turning process, the computation of optimal parametric settings for parameters has been traditionally achieved using standard parametric values, but comparative values between the standard parameters have been ignored. But these aspect ratios reveal some evaluation dimensions that account for robust measurement schemes that promote enhanced effectiveness of the process. To address the issue, an aspect-ratio-based mechanism has been introduced to optimize the turning parameters in three Taguchi methodical variants of classical Taguchi, Taguchi-Pareto, and Taguchi-ABC methods. A total of twelve alternatives were developed, with each alternative containing three standard parameters and two aspect ratios since only three standard parameters are involved in the evaluation. The evaluation of parameters in non-prioritized and prioritized forms was considered for each alternative. The Taguchi method accounts for the non-prioritized method, while Taguchi-Pareto and Taguchi-ABC methods are the prioritized parametric structures. The delta values and ranks across the prioritized and non-prioritized parameters were evaluated by their mean values. The optimal parametric settings were evaluated for all alternatives in the prioritized and non-prioritized forms of evaluation. The results, using literature data, confirmed the feasibility of using the approach. The outcome of the methods is in enhancing the planning scheme for the turning operation. The benefit of the study is an enhanced analysis of turning operation’s improvements and estimation of related economic advantages through turning resources conservation.
An Application of The PROMETHEE Method To Select The Best Response for Carbon Fibre Reinforced Plastic Drilling in Machining Operations Oke, Sunday Ayoola; Odusoro, Salome Ifeoluwa
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 2 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i2.5458

Abstract

The manufacture of carbon fibre reinforced plastic (CFRP) composites from carbon fibres fused with epoxy matrix, deploying the hand layup method has raised considerable attention. Within this research domain, drilling with various tools such as coated and uncoated drills is of great significance. Unfortunately, the use of intuition and experience to select the best parameter in the drilling operation has been known to be less efficient, causing the inadequate distribution of drilling resources to actualize the effectiveness of drilling parameters. Energy wastages are also associated with the present practice of intuition in drilling process. In this study, a novel approach of PROMETHEE I and II are presented to avoid ineffectiveness in drilling resource distribution and select the best drilling operations parameters. The proposed method utilizes experimental data from the literature to verify the method's performance. This study helps in reducing waste due to the inadequate distribution of drilling operations sources. PROMETHEE analyses the drilling parameters of the CFRP composites using preference functions that map the differences among alternatives during machining judgments. Out of the six responses examined, the best response is exit delamination with a weight of 0.059, surface roughness with a weight of 0.031emerged as the second position, torque weighing 0.003 took the 3rd position while the last position is entry delamination, weighing -0.102.
The Extended Theory of Planned Behavior (TPB) to Analyze the Batik Purchase Intention of Indonesian Millennials and Gen Z Indah Sepwina Putri; Annisa Dewi Akbari
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 2 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i2.5546

Abstract

As the nation’s cultural heritage of Indonesia, batik has an important role in the Indonesian economy. This industry provides job opportunities that involve a lot of human resources in it and contributes to the country's foreign exchange through the export of national batik to big countries. Although the development of the batik industry has increased, there are still problems in marketing batik products in Indonesia. These problems can lead to more serious problems such as batik craftsmen leaving the business. These problems must be overcome so that the batik industry can maintain its existence. One of the possible solutions is to understand buying behavior characteristics of the existing consumer groups, which are Millennials and gen Z. Therefore, the purpose of this research is to use a theoretical framework based on the Planned Behavior Theory (TPB) model by Ajzen (1991) to analyze the relationship between experimental variables and the effect on Indonesian Millennials and Gen Z's intention to buy Batik. The focus area selected was Java Island because that is an area with the largest batik industry center in Indonesia. So, the potential to reach a larger consumer need to be explored. Considering the potential of the new generation's high buying power, Millennials and Gen Z were selected as the subject of this study. A total of 177 respondents from various provinces in Java were involved in filling out an online questionnaire containing measurement items related to the purpose of this study. The next step is processing the data using the Partial Least Square Structural Equation Model (PLS-SEM), which has been widely used in various research disciplines over the last two decades. The results show that the five of six hypotheses tested are acceptable: 1) Attitude towards behavior influences purchase intention; (2) Batik Brand Image influences Attitude towards behavior; (3) Perceived behavior control influences purchase intention; (4) Subjective norm influences purchase intention; (5) attitude mediates the relationship between brand image and purchase intention.
The Effect of Increasing Daily Case COVID-19 as Moderating Variable on Coal Stock Price Dewi, Ratna Mustika; Yolanda, Anne Mudya
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 2 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i2.5547

Abstract

Stock investments in the time of the COVID-19 pandemic have a considerable risk. This happens because of the increasingly uncontrolled movement of stock prices. The potential for steep charts can occur at any time. Sentiment analysis of increasing daily cases of COVID-19 was analyzed to see how much effect it has on stock price movements. This research will analyze stock prices from coal commodities in Indonesia. Researchers choose to discuss coal commodities because, in April 2021, there was a significant increase and highest in November 2021. Because of the data, researchers want to see the influence of some coal companies using selling price data with moderating variables for estimating the stock price. There are 26 coal companies that are listed on Indonesia Stock Exchange. The analysis will be a check on five companies that have the largest investors. The analysis is also carried out on coal sales price movements. Furthermore, five different coal mining companies were analyzed based on the rate of price changes to new selling prices with variable moderation in Indonesia. Increasing daily cases of COVID-19 being variable moderation. The method used for finding the relationship is a linear regression with a moderating variable. According to the analysis, the increasing daily case of COVID-19 as a moderating variable is enough to affect the relationship between the selling price of coal and the stock price of HRUM.JK and PTBA.JK. In stock price HRUM.JK, there is an increasing adjusted R square from 0.5254 to 0.5451. The same conditions apply to PTBA.JK has increased by 0.4040 to 0.4444.

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