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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of Research in Vocational Studies (IJRVOCAS)
Husna, Meryatul
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Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Design and Development of College Archives and Correspondence Applications Husna, Meryatul; Lukcyhasnita, Andam; Sembiring, Ajulio Padly; Faza, Sharfina; Andriyani, Poppy
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 3 No. 4 (2024): IJRVOCAS - Special Issues - International Conference on Science, Technology and
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v3i4.51

Abstract

This study aims to develop a web-based archiving and correspondence application to improve the efficiency and effectiveness of archiving and delivery of correspondence on the smart campus. The method used is the software development method. This research involves data collection through interviews and observations to understand the process of archiving and delivering correspondence on smart campus. The developed application can help users to archive and deliver correspondence more efficiently and effectively with features such as correspondence search, automatic archiving, and task and notification settings. The results showed that the use of web-based archives and correspondence applications can increase the efficiency and effectiveness of archiving and delivering correspondence on smart campuses by reducing time and costs, and increasing the accuracy and security of correspondence and archive management.
Predictive Analytics for IMDb Top TV Ratings: A Linear Regression Approach to the Data of Top 250 IMDb TV Shows Husna, Meryatul; Purba, Lampson Pindahaman; Rinaldy, Muhammad Eri; Lubis, Arif Ridho
Journal of Applied Informatics and Computing Vol 8 No 1 (2024): July 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i1.7600

Abstract

In the era of a growing entertainment industry, understanding audience preferences and predicting the financial performance of entertainment products such as films and television shows has become increasingly important. Previous research has demonstrated various approaches in understanding the factors that influence the financial performance of entertainment products. However, there is still a need for research to investigate other aspects of film and television show evaluation. This study aims to explore the contribution of linear regression in analysing the ratings and financial performance of IMDb's top TV shows. Through the incorporation of various data-informed and interpretative approaches, it is expected to gain a deeper understanding of the factors that influence the success of a television show. Using data from the Top 250 IMDb TV Shows, a predictive analysis was conducted to understand the relationship between the number of episodes and IMDb ratings. The results of the information showed a negative relationship between the number of episodes and IMDb rating, with the linear regression model predicting a decrease in IMDb rating as the number of episodes increases. Implications of this research include recommendations for content creators to consider both quality and quantity of content in the development of TV shows.
Co-Authors Faza, Sharfina Lubis, Arif Ridho Lukcyhasnita, Andam Poppy Andriyani Purba, Lampson Pindahaman Rinaldy, Muhammad Eri Sembiring, Ajulio Padly