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All Journal IJISTECH (International Journal Of Information System & Technology) IJISTECH International Journal of Business, Law, and Education
Wulandari, Natasya
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences Other

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The Influence of Viral Marketing and Price on Purchasing Decisions Through Customer Trust: Case Study of the Skincare Brand Skintific Wulandari, Natasya; Arafah, Willy
International Journal of Business, Law, and Education Vol. 5 No. 2 (2024): International Journal of Business, Law, and Education
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v5i2.721

Abstract

This study aimed to explore the impact of viral marketing, pricing strategies, and consumer trust on purchasing decisions regarding products released by Skintific. The approach utilized in this study was quantitative, with a sample size of 90 respondents who had already made purchases of Scientific products. Analysis conducted using SEM-PLS revealed that both viral marketing and consumer trust in Scientific products positively influenced consumers' willingness to transact, while pricing did not significantly affect purchase decisions. Additionally, it was found that other factors such as gender, age, and duration of consumer engagement with social media also had an impact
Implementation of Convolutional Neural Networks (CNN) for Crowd Counting in Shopping Mall Environments Prihandoko, P; Wulandari, Natasya; Eska, Juna
IJISTECH (International Journal of Information System and Technology) Vol 8, No 4 (2024): The December edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i4.377

Abstract

Accurate crowd counting is crucial in public spaces such as shopping malls to ensure safety and optimize resource management. This article explores the use of Convolutional Neural Networks (CNN), specifically a modified VGG16 architecture, for real-time crowd counting in shopping mall environments. Using a dataset collected from various crowd scenarios, the model was trained and tested using evaluation metrics such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The results indicate that the proposed model is effective, achieving higher accuracy compared to traditional methods, thanks to advanced feature extraction techniques. This research offers a robust and scalable solution to enhance security and improve crowd management in commercial spaces.
Implementation of Convolutional Neural Networks (CNN) for Crowd Counting in Shopping Mall Environments Prihandoko, P; Wulandari, Natasya; Eska, Juna
IJISTECH (International Journal of Information System and Technology) Vol 8, No 4 (2024): The December edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i4.377

Abstract

Accurate crowd counting is crucial in public spaces such as shopping malls to ensure safety and optimize resource management. This article explores the use of Convolutional Neural Networks (CNN), specifically a modified VGG16 architecture, for real-time crowd counting in shopping mall environments. Using a dataset collected from various crowd scenarios, the model was trained and tested using evaluation metrics such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The results indicate that the proposed model is effective, achieving higher accuracy compared to traditional methods, thanks to advanced feature extraction techniques. This research offers a robust and scalable solution to enhance security and improve crowd management in commercial spaces.
Co-Authors Eska, Juna Prihandoko, P Willy Arafah, Willy