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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of Information System and Technology (JOINT)
Tri Susanti
Universitas Internasional Batam
Computer Science & IT

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Konsep Pengembangan Teknologi pada Health Assistant dengan Menciptakan Holo Buddy Bagi Masyarakat Jose Manuel Budiman; Vincent v; Calvin Yantson; Novita Chris; Nelson Donglas; Tri Susanti; Elbert Sun
Journal of Information System and Technology (JOINT) Vol 1 No 2 (2020): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v1i2.4320

Abstract

These days people struggle to keep their health, especially in these pandemic days. To keep our health conditions and undergo the health protocol by the Government, we need a technology that can help us keep our health condition, one of it is by avoiding meeting directly (face-to-face) the medical personnel such as doctors and nurses. That is why the society needs Holo Buddy, an AI that uses Machine Learning and Big Data System in keeping human health condition whether it’s physical or mentally. By using Holo Buddy, we hope that this AI (Artificial Intelligence) Hologram Technology can handle these problems and help in keeping our health condition as our own Personal Healthcare Companion. Keywords: Healthcare, Artificial Intelligence, Hologram, Big Data, Machine Learning
Digital Marketing Strategy on Fashion Industry among Z Generation in Batam City Tri Susanti; Mangapul Siahaan
Journal of Applied Informatics and Computing Vol 6 No 2 (2022): December 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i2.4615

Abstract

The Internet has become a part of society in almost all areas of business. The popularity of the internet causes increase in the needs of the community, especially generation z which has a major influence on daily life. Information that is spread through social networks is a solution to the needs of generation z. They can make purchases online by utilizing digital media and available information. This study was conducted to determine the effect of digital marketing on online purchase intention of generation z in Batam City in the fashion industry through brand equity and consumer perceived value. This study uses an explanatory sequential mixed method that combines both quantitative and qualitative methods. Data collection on the quantitative method was carried out by distributing questionnaires to 404 respondents and analyzed by using the Structural Equation Modeling (SEM) using SPSS Statistics 25 and SPSS AMOS 22. The qualitative method was carried out by interviewing 20 sources and analyzed by classifying the data used to support quantitative results. This study shows that digital marketing does not have a positive effect on online purchase intentions, digital marketing does not have a positive effect on online purchase intentions through brand equity as a mediator, and digital marketing has a positive effect on online purchase intentions through consumer perceived value as a mediator.
Co-Authors Calvin Yantson Elbert Sun Jose Manuel Budiman Mangapul Siahaan Nelson Donglas Novita Chris Vincent v