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All Journal International Journal of New Media Technology TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Elaine, Elaine
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Analisis dan Pengembangan Sistem Pemesanan Makanan Berbasis Website untuk Mendukung Operasional Café Elaine, Elaine; Sanjaya, Fendy; Halim, Richard; Megawan, Sunario; Ilhami, Mirza
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp24-30

Abstract

This research aims to develop a web-based Point of Sales (POS) system that can support online food ordering processes and computerized inventory management. The background of this research focuses on the importance of implementing technology in cafés, particularly in supporting business processes such as structured ordering systems, food stock management, and evaluating sales and food stock reports. The research methodology consists of a comprehensive analysis of the existing ordering system at Loving Nature Fortunate Coffee through visitor surveys, staff interviews, and direct observation of operational processes. The results of this research show that the implementation of a web-based Point of Sales (POS) system at Loving Nature Fortunate Coffee can increase the operational efficiency of the café and make business processes more structured and systematically recorded.
Cross-Platform Mobile Based Crowdsourcing Application for Sentiment Labeling Using Gamification Method Elaine, Elaine; Putri, Farica Perdana; Suryadibrata, Alethea
IJNMT (International Journal of New Media Technology) Vol 11 No 2 (2024): Vol 11 No 2 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i2.3935

Abstract

Sentiment analysis is the application of natural language processing which aims to identify the sentiment of texts. To carry out sentiment analysis, data which has been labeled sentiment is needed to be included in the training model. Crowdsourcing is considered as the most optimal method to label data because it has a high level of accuracy at a relatively low cost. However, the use of crowdsourcing platforms has its own challenge, which is to increase user interest and motivation. A solution which can be applied is to design and build a crowdsourcing platform or application using the gamification method. The definition of gamification is an effort to increase one's intrinsic motivation for an activity by applying game elements to it. Therefore, a cross-platform mobile based crowdsourcing application for sentiment labeling using gamification method was carried out. The gamification design process was done based on the 6D framework and the application was developed using the Ionic-React framework. Application was examined through black box testing and the result showed that the application was functioning properly and according to the design requirements. There was also an evaluation carried out by distributing Intrinsic Motivation Inventory questionnaires to users who had used the application for 2 weeks. From a total of 40 respondents, the result showed that the level of user motivation and interest in using the application was high with a percentage of 83.10%.
Cross-Platform Mobile Based Crowdsourcing Application for Sentiment Labeling Using Gamification Method Elaine, Elaine; Putri, Farica Perdana; Suryadibrata, Alethea
IJNMT (International Journal of New Media Technology) Vol 11 No 2 (2024): Vol 11 No 2 (2024): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v11i2.3935

Abstract

Sentiment analysis is the application of natural language processing which aims to identify the sentiment of texts. To carry out sentiment analysis, data which has been labeled sentiment is needed to be included in the training model. Crowdsourcing is considered as the most optimal method to label data because it has a high level of accuracy at a relatively low cost. However, the use of crowdsourcing platforms has its own challenge, which is to increase user interest and motivation. A solution which can be applied is to design and build a crowdsourcing platform or application using the gamification method. The definition of gamification is an effort to increase one's intrinsic motivation for an activity by applying game elements to it. Therefore, a cross-platform mobile based crowdsourcing application for sentiment labeling using gamification method was carried out. The gamification design process was done based on the 6D framework and the application was developed using the Ionic-React framework. Application was examined through black box testing and the result showed that the application was functioning properly and according to the design requirements. There was also an evaluation carried out by distributing Intrinsic Motivation Inventory questionnaires to users who had used the application for 2 weeks. From a total of 40 respondents, the result showed that the level of user motivation and interest in using the application was high with a percentage of 83.10%.
Analisis dan Pengembangan Sistem Pemesanan Makanan Berbasis Website untuk Mendukung Operasional Café Elaine, Elaine; Sanjaya, Fendy; Halim, Richard; Megawan, Sunario; Ilhami, Mirza
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp24-30

Abstract

This research aims to develop a web-based Point of Sales (POS) system that can support online food ordering processes and computerized inventory management. The background of this research focuses on the importance of implementing technology in cafés, particularly in supporting business processes such as structured ordering systems, food stock management, and evaluating sales and food stock reports. The research methodology consists of a comprehensive analysis of the existing ordering system at Loving Nature Fortunate Coffee through visitor surveys, staff interviews, and direct observation of operational processes. The results of this research show that the implementation of a web-based Point of Sales (POS) system at Loving Nature Fortunate Coffee can increase the operational efficiency of the café and make business processes more structured and systematically recorded.
Co-Authors Halim, Richard Ilhami, Mirza Putri, Farica Perdana Sanjaya, Fendy Sunario Megawan Suryadibrata, Alethea