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Penerapan Teknologi AI dalam Deteksi dan Pencegahan Ancaman Terhadap File Pangestu, Arya Hadid; Adika, Muhammad Abbas; Setiyawan, Alan; Waluyo, Edy; Prasetyo, , Ridwan; Saputra, Raka Rossian
Scientica: Jurnal Ilmiah Sains dan Teknologi Vol. 2 No. 8 (2024): Scientica: Jurnal Ilmiah Sains dan Teknologi
Publisher : Komunitas Menulis dan Meneliti (Kolibi)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk mengeksplorasi penerapan teknologi AI dalam deteksi dan pencegahan ancaman terhadap file, mengidentifikasi manfaat yang ditawarkannya, serta tantangan yang harus diatasi. Penulis menerapkan metode penelitian kualitatif dan melakukan studi Pustaka Mengevaluasi literatur dan jurnal yang sesuai dengan teori yang dibahas, khususnya dalam lingkup Manajemen Keamanan dan Sistem Informasi. Hasil penelitian penggunaan teknologi AI melibatkan teknik machine learning, deep learning, dan analisis big data untuk memberikan pandangan luas tentang potensi ancaman. Meskipun demikian, implementasi teknologi AI dalam keamanan file menghadapi tantangan seperti kebutuhan akan data pelatihan yang berkualitas, sumber daya komputasi tinggi, dan keahlian khusus. Oleh karena itu, perlu adanya sebuah aplikasi yang diperlukan termasuk Stateful Firewall untuk pengawasan jaringan, AI-IDS untuk mendeteksi ancaman siber, dan kriptografi untuk keamanan data. Penggabungan AI ke dalam sistem ini meningkatkan efisiensi teknologi dalam menghadapi ancaman cyber.
Pengaruh Penggunaan ChatGPT dan Google Scholar dalam Mencari Sumber Informasi Akademik Bagi Mahasiswa Hadid Pangestu, Arya; Setiyawan, Alan; Syahrul Romadhon, Muhammad; Sutiawan, Hedi; Rizki Pratama, Adrian; Maulana Asviara, Daffa; Satini, Satini; Zulkarnaen, Iskandar
Jurnal Etnik: Ekonomi-Teknik Vol 3 No 2 (2024): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/etnik.v3i2.317

Abstract

This study aims to collect and analyse students' assessment of the use of ChatGPT and Google Scholar in finding academic information sources. Data was collected through a questionnaire designed to evaluate ease of use, quality of information obtained, and impact on students' learning process. The results of the questionnaire were analysed using statistical methods to ensure the validity and reliability of the findings. Normality test, validity test, and reliability test were conducted to ensure data distribution and reliability. The results showed that the Cronbach's Alpha value of 0.8290 confirmed that the data was reliable. The correlation coefficient between 0.600 to 0.800 shows a high correlation, indicating the significant influence of using ChatGPT and Google Scholar in helping students find and understand academic information. Nonetheless, some limitations need to be noted, such as limitations in interpretation and analysis that require in-depth understanding as well as customisation to specific academic contexts.
Analisis Pengaruh Harga, Kualitas Produk Sepatu Aerostreet Terhadap Kepuasan Pelanggan Yang Membeli di Aplikasi Shopee Setiyawan, Alan; Waluyo, Edy; Abbas Adika, Muhammad; Paduloh, Paduloh
Jurnal Etnik: Ekonomi-Teknik Vol 2 No 12 (2023): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

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Abstract

Shopee is an e-shopping app that concentrates on marketplaces and e-commerce. One of the most popular online shopping apps in Southeast Asia. Aerostreet shoes is a local shoe brand founded by Adhitya Caesarico in Klaten in 2015 and is now the best-selling shoe brand on Shopee. The best-selling Aerostreet shoe products are due to the company often holding massive discounts on Shopee, which reduces product prices and increases sales. Most of the products sold at efficient prices are not always of high quality and cause customer dissatisfaction. The purpose of this study is to determine the influence between customer satisfaction, price and product quality of aerostreet shoes, a total of 39 respondents, aged 17 to 21 years, coming from various professions and having different judgments, were asked to participate in this study. Calculations using the SPSS application, the results of this study indicate that price and customer satisfaction have increased satisfaction in an upward manner while product quality and customer satisfaction have decreased satisfaction in a downward manner because consumers are more tempted by efficient prices than normal prices but guaranteed product quality.