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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Conference on Management, Business, Innovation, Education and Social Sciences (CoMBInES)
Yusuf Yusuf
Universitas Internasional Batam
Aerospace Engineering Arts Computer Science & IT Engineering Social Sciences Other

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GENERIC SHOPPING MALL DIRECTORY (GSMD) HYBRID MOBILE BASED APPLICATION DESIGN WITH SCRUM METHOD (CASE STUDY: GRAND BATAM MALL) Yefta Christian; Yusuf Yusuf
CoMBInES - Conference on Management, Business, Innovation, Education and Social Sciences Vol 2 No 1 (2022): The 2nd Conference on Management, Business, Innovation, Education and Social Scie
Publisher : Universitas Internasional Batam

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Abstract

Malls are shopping centers with an assortment of more complete and better facilities due to the advancement of technology. In big cities, the mall buildings can be very large, making it difficult for people to find the store they want to visit. A reliable directory system was needed to guide people to the stores they wanted to visit. The developed mobile directory application was developed using a hybrid method that used the scrum method. A hybrid application is built using standard web technologies such as HTML, CSS, and JavaScript. To ensure the highest quality, a scrum development method is used so that the maximum value is produced. With the scrum method, a software product can be developed using stages that align with the requirements of its end users or clients. The stages taken in designing the system start from collecting data, identifying problems, analyzing user needs, designing applications, and implementing the system. As a result of the study, it was concluded that the scrum method facilitates the design and development of the application on time and precise, so that the intensive system development time efficiency will be achieved.
ANALISIS SENTIMEN TERHADAP GAME GENSHIN IMPACT MENGGUNAKAN BERT Ryo Kusnadi; Yusuf Yusuf; Andriantony Andriantony; Richard Ardian Yaputra; Melna Caintan
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 6 No 2 (2021): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v6i2.1765

Abstract

By huge improvement of Internet Services on social networking, there are a lot data that were streamly made in every time. Recently, sentiment analysis by using online reviews and messages has become a popular research issue in Natural Langauage Processing field. Over the years, online game have become inseparable thing for most of us, especially in the widespread economic disruption caused by the Covid-19. Genshin Impact is one of the well-known game that developed by miHoYo. This research focused on sentiment analysis with the purpose to find out whether the respected review that scraps from google play store has a neutral, positive or negative sentiment so it will be helpful for afterward game improvement. An autonomus sentiment analysis classification process is required to reduce human error. But, it is hard to get studies that explore about the extraction features and the deep learning models that fit with this case, especially in the business game. This research process stage is data scrapping through the google play store, and using Bidirectional Encoder Representations from Transformers (BERT) as the machine learning model.
Co-Authors Andriantony Andriantony Christian, Yefta Melna Caintan Richard Ardian Yaputra Ryo Kusnadi