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All Journal Journal of Business Strategy and Execution Jurnal Dimensi Pratama Teknik Sipil CESS (Journal of Computer Engineering, System and Science) EKONOMIS : Journal of Economics and Business YUME : Journal of Management Jurnal Ilmiah Poli Bisnis International Journal of Economics Development Research (IJEDR) Prosiding National Conference for Community Service Project E-Jurnal Akuntansi TSM Jurnal Sistem Informasi dan Manajemen Equity SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa
Angeline angeline
UK Petra
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences

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Volatilitas Harga Saham Industri Ekonomi Baru dan Non-Ekonomi Baru di Indonesia: Apakah Fenomena IPO keduanya berbeda? Suhardjo, Iwan; Meliana, Meliana; Angeline, Angeline; Caroline, Caroline; Jaslyn, Jaslyn
Ekonomis: Journal of Economics and Business Vol 8, No 2 (2024): September
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v8i2.1662

Abstract

This research explores the influence of financial performance on the shares of companies conducting an Initial Public Offering (IPO) and analyzes the influence of leverage, company size, managerial ownership structure, and board educational background on share price volatility. This study is based on signal theory and focuses on new economy and non-new economy industries that conduct IPOs between 2021 and 2022. Using financial data from the Indonesia Stock Exchange (IDX) website, the population of e-commerce companies consists of 3 companies, while The sample of non-e-commerce companies consists of 12 companies. The research results show that leverage has a positive effect on stock price volatility.
Komparasi Performa VGG19, ResNet50, DenseNet121 dan MobileNetV2 Dalam Mendeteksi Gambar Deepfake Angeline, Angeline; Kusniyati, Harni
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 2 (2024): July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i2.58671

Abstract

Deepfake secara pesat menjadi potensi ancaman keamanan siber yang dapat memanipulasi gambar, video, bahkan audio dengan sangat realistis sehingga manusia mengalami kesulitan dalam membedakan apakah sebuah media adalah asli atau merupakan hasil manipulasi kecerdasan buatan. CNN menjadi salah satu metode yang dikembangkan sebagai solusi. Banyaknya varian model CNN membuka potensi untuk pengembangan lebih lanjut. Penulis mengumpulkan dari berbagai sumber 1,000 citra wajah asli dan 1,000 citra wajah deepfake yang kemudian diperluas dengan teknik augmentasi data untuk melatih, memvalidasi, dan menguji empat varian model CNN yaitu VGG19, ResNet50, DenseNet121, dan MobileNetV2, dengan tujuan untuk menentukan varian yang paling efektif sebagai basis model yang dapat dikembangkan menjadi detektor deepfake. Evaluasi dan perbandingan performa dengan teknik confusion matrix menunjukkan bahwa di antara keempat model, ResNet50 memiliki performa terbaik dengan akurasi 91,5%, presisi 90%, dan recall 91,3%.
PENGARUH KUALITAS PRODUK, CITRA MEREK DAN PERSONAL BRANDING TUPPERWARE TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN DI KOTA BATAM Angeline, Angeline; Purba, Tiurniari
SCIENTIA JOURNAL Vol 7 No 4 (2025): Scientia Journal
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/scientiajournal.v7i4.10142

Abstract

This research is quantitative research which aims to find out of product quality, brand image and personal branding of Tupperware on consumer purchasing decisions in Indonesia. The analysis in this research uses an explanatory approach. The sampling technique used a sampling snowball, the sample consisted of 100 respondents who had purchased Tupperware. The analytical method used in this research is multiple linear regression analysis. This research is motivated by the problem of lack of marketing for Tupperware products which has resulted in these products currently experiencing a drastic decline in consumers. This research is research and development. Research was conducted on people in Batam City who had purchased or used Tupperware products.
Co-Authors Andika, Ilham Andrian Dektisa Hagijanto Anggoro, Muhammad Agung Aniendya Christianna Bun Sucento Carmel Meiden Caroline Caroline Carolyn, Carolyn Chintya, Ora Harni Kusniyati Herwin Herwin, Herwin Irma Patrisia2 Jaslyn, Jaslyn Julianti, Selly Lily Purwianti Meliana Meliana Noviana Noviana Novilia, Vera Purba, Tiurniari Putri Ramadhyta Ridhayati Farid Rudy Setiawan Santya, Maria Lenny Setyawan, Agustinus Solli, Indira Detari Stefanie Stefanie, Stefanie Suhardjo, Iwan SUKADANA, IDA BAGUS NYOMAN Tan, Windra Vincent Vincent, Vincent Yoel Yoel Yuswardi yuswardi, Yuswardi