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Utilizing Online Reviews for Human Resource Development in the Retail Industry Using Aspect-based Sentiment Analysis Pramudika, Gregorios Ferrari; Astanti, Ririn Diar; Purnama, Ignatius Luddy Indra
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.9092

The growth in the retail industry means that the retail industry must have a competitive advantage to compete. One source of competitive advantage is customer experience. One factor that has a positive influence on customer experience is the service provided by frontline employees. Nowadays, customers can easily share their experiences and information in online reviews. Therefore, a good understanding of online reviews is necessary to maintain customer satisfaction. This paper proposes a new method for obtaining information from online reviews available on online review platforms such as Google Maps. Reviews on the website will be scraped and translated into English using the large language model (LLM). The translated reviews will be translated to obtain aspects, sentiments, and opinions using an aspect-based sentiment analysis (ABSA) model that has been previously drilled using a dataset in English. The findings are visualized into Pareto diagrams and word cloud to identify aspects related to human resources that most influence the negative or positive ratings given by customers through online reviews.

Proposed Education Quality Improvement Using the Analytical Hierarchy Process (AHP) and the Poka-yoke Method at SDS Kartini (Case Study: Grade I and Grade II) Wijaya, Felicia; Abidin
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.9445

Since everything in this world is mortal and ultimately ends, life here is valuable for making a positive contribution. Early in life, one must obtain an educational or learning process to contribute positively. SDS Kartini is a service industrial institution in the basic education field, which consists of six levels or grades. However, in the implementation, the development of students in grades I and II at SDS Kartini is still less than optimal. Next, since human resources are mostly involved in the learning process performances, the poka yoke method is used to prepare the improvement solution. Then, at the procedure of the poka yoke method, there is a stage for choosing the best solution. The analytical hierarchy process (AHP) method can be applied to determine the best solution. Based on the opinions of several education practitioners (class teacher, Chairman of Foundation, and school accreditation assessor) and the calculations using the analytical hierarchy process (AHP) method, the best solution obtained is that the teacher must establish good relationships with the parents or guardians of the students. To reach that goal, a standard operating procedure (SOP) or workflow focused on optimizing attendance records has been proposed. That proposed solution is named "HADIR", where "HADIR" stands for harmonization, assistance, declaration, inspection, and repetition.

Marketing for Higher Education Institution: A Review and Theoretical Framework Adrianto, Ega; Suharyanti, Yosephine
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.9639

A higher education institution (HEI) builds its quality throughout the process, from student admission to graduation. One of the critical points in the admission process, by which the applicants are selected, is the number of applicants being selected. To get a large number of applicants, an HEI undertakes marketing programs. Many studies on HEI marketing discuss factors differently, depending on the case and the viewpoints or the objectives. This study reviews 52 articles on HEI marketing to get general insights and develop a theoretical framework that is expected to be beneficial for HEI practitioners to design their marketing programs and for researchers to get a general model to be referred to. The insights from the review are, first, the development of modified marketing mix 3P1Q (quality, price, promotion, place) for HEI marketing, which is adapted from marketing mix 4P. The second insight is that the focus of HEI marketing discussion has shifted because of the COVID-19 pandemic, regarding the disruption and the intense use of digital technology. This phenomenon could help interested parties predict the future of HEI marketing. The result of this study is a comprehensive theoretical framework of HEI marketing that integrates HEI attributes, HEI marketing factors, HEI marketing impacts, and the relationships among those elements.

Integration of Fuzzy 0/1 Knapsack Dynamic Programming and PROMETHEE Method for Vehicle Exhaust Emission Parametric Optimization and Selection in the Packing Industry Agada, Alexander Iwodi; Rajan, John; Jose, Swaminathan; Oke, Sunday Ayoola; Benrajesh, Pandiaraj; Oyetunji, Elkanah Olaosebikan; Adedeji, Kasali Aderinmoye
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.7689

Packaging industries fabricate and transport products in wrapped, sealed, and cushioned containers and boxes on roads, often through fossil-fuelled vehicles that emit carbons. Thus, decarbonization and net zero emission drive are compelling for these vehicles. This paper proposes a robust green logistics interaction model for monitoring and reducing exhaust pipe emissions in an uncertain environment. It uses a hybrid method known as fuzzy-0/1-KDP-PROMETHEE (Fuzzy-0/1 Knapsack dynamic programming-Preference Ranking Organization Method for Enrichment Evaluation) approach to concurrently reduce uncertainty, optimize the capacity of the knapsack and establish the preferred option among the parameters of green logistic. Both PROMETHEE I and II were introduced and tested using logistics data from an Indian environment based on secondary data. The method works by first reducing the effect of uncertainty on the model outcomes. This was achieved by establishing the output space as the fuzzy state, creating fuzzy rules, and mapping degrees to rules. Then, the degrees are used to maximize, ensuring that the weighted sum is not greater than the capacity of the Knapsack. The outcome is then regarded as the element of the green logistics exhaust emission process. The results obtained from the analysis, using the replacement of fuzzy expert (triangular) with fuzzy extent (trapezoidal), fuzzy geometric mean (triangular), and fuzzy geometric mean (trapezoidal) reveal that the fuzzy-0/1-KDP-PROMETHEE method adequately represents the score obtained using the data set from the exhaust emissions.

Improving Thermal Friction Drilling Performance of AISI 304 Stainless Steel Using the Harris Hawk Optimization Method Ogunmola, Bayo Yemisi; Alozie, Nehemiah Sabinus; Adeyinka, Oluwo; Nwankiti , Ugochukwu Sixtus; Oke, Sunday Ayoola; Rajan, John; Jose, Swaminathan
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.7743

Presently, in friction drilling optimization schemes, quick convergence of solutions and simplicity of methods are still challenging. These issues are drawbacks in obtaining the maximum potential benefits from the optimization process. Therefore, this paper applies a new optimization method, Harris Hawk optimization to the thermal drilling process of AISI 304 stainless steel. The algorithm minimizes the axial force, determination error, radial force, and radial error and maximizes the bushing length as the major output of the process. The proposed approach was tested with experimental data obtained from the literature. The obtained results indicate that the optimal production is feasible. An example is given here of the results of the input parameters for the minimum axial force, which is as follows: After 500 iterations, the optimal axial force yields a tool cylindrical region diameter of 5.78593 mm, a friction angle of 60 degrees, a friction contact area ratio of 57.7082, workpiece thickness of 3 mm, feed rate of 140 mm/min and rotational speed of 3002.85 rpm, which can be applied. The results assist engineers in implementing optimal conditions for the drilling process. The outcome of this study strengthens decisions to establish thresholds of values that are less or more than expected thereby providing a basis for comparison, reward, and reprimand for workers. Thus the drilling process can be optimized.

Integration of Fuzzy 0/1 Knapsack Dynamic Programming and PROMETHEE Method for Vehicle Exhaust Emission Parametric Optimization and Selection in the Packing Industry Agada, Alexander Iwodi; Rajan, John; Jose, Swaminathan; Oke, Sunday Ayoola; Benrajesh, Pandiaraj; Oyetunji, Elkanah Olaosebikan; Adedeji, Kasali Aderinmoye
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.7689

Packaging industries fabricate and transport products in wrapped, sealed, and cushioned containers and boxes on roads, often through fossil-fuelled vehicles that emit carbons. Thus, decarbonization and net zero emission drive are compelling for these vehicles. This paper proposes a robust green logistics interaction model for monitoring and reducing exhaust pipe emissions in an uncertain environment. It uses a hybrid method known as fuzzy-0/1-KDP-PROMETHEE (Fuzzy-0/1 Knapsack dynamic programming-Preference Ranking Organization Method for Enrichment Evaluation) approach to concurrently reduce uncertainty, optimize the capacity of the knapsack and establish the preferred option among the parameters of green logistic. Both PROMETHEE I and II were introduced and tested using logistics data from an Indian environment based on secondary data. The method works by first reducing the effect of uncertainty on the model outcomes. This was achieved by establishing the output space as the fuzzy state, creating fuzzy rules, and mapping degrees to rules. Then, the degrees are used to maximize, ensuring that the weighted sum is not greater than the capacity of the Knapsack. The outcome is then regarded as the element of the green logistics exhaust emission process. The results obtained from the analysis, using the replacement of fuzzy expert (triangular) with fuzzy extent (trapezoidal), fuzzy geometric mean (triangular), and fuzzy geometric mean (trapezoidal) reveal that the fuzzy-0/1-KDP-PROMETHEE method adequately represents the score obtained using the data set from the exhaust emissions.

Improving Thermal Friction Drilling Performance of AISI 304 Stainless Steel Using the Harris Hawk Optimization Method Ogunmola, Bayo Yemisi; Alozie, Nehemiah Sabinus; Adeyinka, Oluwo; Nwankiti , Ugochukwu Sixtus; Oke, Sunday Ayoola; Rajan, John; Jose, Swaminathan
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.7743

Presently, in friction drilling optimization schemes, quick convergence of solutions and simplicity of methods are still challenging. These issues are drawbacks in obtaining the maximum potential benefits from the optimization process. Therefore, this paper applies a new optimization method, Harris Hawk optimization to the thermal drilling process of AISI 304 stainless steel. The algorithm minimizes the axial force, determination error, radial force, and radial error and maximizes the bushing length as the major output of the process. The proposed approach was tested with experimental data obtained from the literature. The obtained results indicate that the optimal production is feasible. An example is given here of the results of the input parameters for the minimum axial force, which is as follows: After 500 iterations, the optimal axial force yields a tool cylindrical region diameter of 5.78593 mm, a friction angle of 60 degrees, a friction contact area ratio of 57.7082, workpiece thickness of 3 mm, feed rate of 140 mm/min and rotational speed of 3002.85 rpm, which can be applied. The results assist engineers in implementing optimal conditions for the drilling process. The outcome of this study strengthens decisions to establish thresholds of values that are less or more than expected thereby providing a basis for comparison, reward, and reprimand for workers. Thus the drilling process can be optimized.

Utilizing Online Reviews for Human Resource Development in the Retail Industry Using Aspect-based Sentiment Analysis Pramudika, Gregorios Ferrari; Astanti, Ririn Diar; Purnama, Ignatius Luddy Indra
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.9092

The growth in the retail industry means that the retail industry must have a competitive advantage to compete. One source of competitive advantage is customer experience. One factor that has a positive influence on customer experience is the service provided by frontline employees. Nowadays, customers can easily share their experiences and information in online reviews. Therefore, a good understanding of online reviews is necessary to maintain customer satisfaction. This paper proposes a new method for obtaining information from online reviews available on online review platforms such as Google Maps. Reviews on the website will be scraped and translated into English using the large language model (LLM). The translated reviews will be translated to obtain aspects, sentiments, and opinions using an aspect-based sentiment analysis (ABSA) model that has been previously drilled using a dataset in English. The findings are visualized into Pareto diagrams and word cloud to identify aspects related to human resources that most influence the negative or positive ratings given by customers through online reviews.

Proposed Education Quality Improvement Using the Analytical Hierarchy Process (AHP) and the Poka-yoke Method at SDS Kartini (Case Study: Grade I and Grade II) Wijaya, Felicia; Abidin
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.9445

Since everything in this world is mortal and ultimately ends, life here is valuable for making a positive contribution. Early in life, one must obtain an educational or learning process to contribute positively. SDS Kartini is a service industrial institution in the basic education field, which consists of six levels or grades. However, in the implementation, the development of students in grades I and II at SDS Kartini is still less than optimal. Next, since human resources are mostly involved in the learning process performances, the poka yoke method is used to prepare the improvement solution. Then, at the procedure of the poka yoke method, there is a stage for choosing the best solution. The analytical hierarchy process (AHP) method can be applied to determine the best solution. Based on the opinions of several education practitioners (class teacher, Chairman of Foundation, and school accreditation assessor) and the calculations using the analytical hierarchy process (AHP) method, the best solution obtained is that the teacher must establish good relationships with the parents or guardians of the students. To reach that goal, a standard operating procedure (SOP) or workflow focused on optimizing attendance records has been proposed. That proposed solution is named "HADIR", where "HADIR" stands for harmonization, assistance, declaration, inspection, and repetition.

Marketing for Higher Education Institution: A Review and Theoretical Framework Adrianto, Ega; Suharyanti, Yosephine
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.9639

A higher education institution (HEI) builds its quality throughout the process, from student admission to graduation. One of the critical points in the admission process, by which the applicants are selected, is the number of applicants being selected. To get a large number of applicants, an HEI undertakes marketing programs. Many studies on HEI marketing discuss factors differently, depending on the case and the viewpoints or the objectives. This study reviews 52 articles on HEI marketing to get general insights and develop a theoretical framework that is expected to be beneficial for HEI practitioners to design their marketing programs and for researchers to get a general model to be referred to. The insights from the review are, first, the development of modified marketing mix 3P1Q (quality, price, promotion, place) for HEI marketing, which is adapted from marketing mix 4P. The second insight is that the focus of HEI marketing discussion has shifted because of the COVID-19 pandemic, regarding the disruption and the intense use of digital technology. This phenomenon could help interested parties predict the future of HEI marketing. The result of this study is a comprehensive theoretical framework of HEI marketing that integrates HEI attributes, HEI marketing factors, HEI marketing impacts, and the relationships among those elements.

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ijieem@uajy.ac.id

Editorial Address
Jl. Babarsari no. 43 Yogyakarta

Location
Kota yogyakarta,

Daerah istimewa yogyakarta

INDONESIA

Abstract

Abstract

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Abstract

Abstract

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Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email ijieem@uajy.ac.id

Phone -

Journal Mail Official ijieem@uajy.ac.id

Editorial Address Jl. Babarsari no. 43 Yogyakarta

Location Kota yogyakarta, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
ijieem@uajy.ac.id

Phone
-

Journal Mail Official
ijieem@uajy.ac.id

Editorial Address
Jl. Babarsari no. 43 Yogyakarta

Location
Kota yogyakarta,

Daerah istimewa yogyakarta

INDONESIA