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All Journal Riau Journal of Computer Science IJISTECH (International Journal Of Information System & Technology) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik Informatika (JUTIF) IJISTECH Jutsi: Jurnal Teknologi dan Sistem Informasi J-Com (Journal of Computer) Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat
Eska, Juna
Universitas Putra Indonesia “YPTK” Padang
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Journal : IJISTECH

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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 Afira, Riandana Afni Nia Sari afrisawati, Afrisawati Alfi Syahrinur Sitorus Anggita Purwandari Djesmedi, Dinda Febby Madonna Yuma Gusmita, Devi Hambali Hambali Harahap, Indra Ramadona Hidayatullah Hidayatullah Hidayatullah Hidayatullah Hommy Dorthy Ellyany Sinaga Intan Agustina Irianto Irianto Jeperson Hutahaean Khairunnisa Khairunnisa Lesita khairuni siagian M Ihsan Mardalius Mardalius Muhammad Amin Mustika Fitri Larasati Sibuea Okmaya Okmaya Pohan, Nurmaliana Prihandoko, P Purwandari, Anggita Ricki Ananda Rika Nofitri Sari, Afni Nia Sitorus, Alfi Syahrinur Sudarmin Sudarmin Sumantri Sumantri Sumantri Sumantri Syahputra, Ronaldo Wulandari, Natasya Zulfitri Yani Zulkhairani, Zulkhairani