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All Journal International Journal of Industrial Engineering and Engineering Management Jurnal Teknik Industri dan Manajemen Rekayasa
Pramudika, Gregorios Ferrari
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Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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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

Abstract

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.
Pengembangan alat peraga dan modul Internet of Things dengan pendekatan define-measure-analyze-design-verify untuk mendukung aktivitas pembelajaran Pramudika, Gregorios Ferrari; Nugraha, Brilianta Budi
Jurnal Teknik Industri dan Manajemen Rekayasa Vol 3 No 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jtimr.v3i1.10067

Abstract

The Industrial Era 4.0 requires someone to have skills that are relevant to the pillars of Industry 4.0, one of which is digitalization, including the Internet of Things (IoT). Atma Jaya University Yogyakarta through the Industrial Engineering Study Program has Industrial Automation and Industrial Automation Practicum courses as a forum to provide competence in the field of mechatronic systems in industry. One of the materials taught in the course is IoT. However, learning IoT material is considered not optimal because the Automation Laboratory does not yet have appropriate teaching aids and modules. This study aims to develop IoT teaching aids and practicum modules using the DMADV (define, measure, analyze, design, verify) approach. This methodology focuses on customer needs obtained through interviews and Kano surveys, then used as a basis for designing designs with morphological maps. The resulting teaching aid is a Smart Warehouse, a miniature automatic warehouse for storing wax products from a mini factory. This tool consists of sensors, stack lights, PLCs, SCADA as server applications, and client applications. This Smart Warehouse can carry out simple warehousing activities automatically, and is equipped with practicum modules and manual books to facilitate its use.
Pengembangan alat peraga dan modul Internet of Things dengan pendekatan define-measure-analyze-design-verify untuk mendukung aktivitas pembelajaran Pramudika, Gregorios Ferrari; Nugraha, Brilianta Budi
Jurnal Teknik Industri dan Manajemen Rekayasa Vol 3 No 1 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jtimr.v3i1.10067

Abstract

The Industrial Era 4.0 requires someone to have skills that are relevant to the pillars of Industry 4.0, one of which is digitalization, including the Internet of Things (IoT). Atma Jaya University Yogyakarta through the Industrial Engineering Study Program has Industrial Automation and Industrial Automation Practicum courses as a forum to provide competence in the field of mechatronic systems in industry. One of the materials taught in the course is IoT. However, learning IoT material is considered not optimal because the Automation Laboratory does not yet have appropriate teaching aids and modules. This study aims to develop IoT teaching aids and practicum modules using the DMADV (define, measure, analyze, design, verify) approach. This methodology focuses on customer needs obtained through interviews and Kano surveys, then used as a basis for designing designs with morphological maps. The resulting teaching aid is a Smart Warehouse, a miniature automatic warehouse for storing wax products from a mini factory. This tool consists of sensors, stack lights, PLCs, SCADA as server applications, and client applications. This Smart Warehouse can carry out simple warehousing activities automatically, and is equipped with practicum modules and manual books to facilitate its use.
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

Abstract

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.
Co-Authors Astanti, Ririn Diar Nugraha, Brilianta Budi Purnama, Ignatius Luddy Indra