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All Journal Journal of Informatics and Information Security
Arifin, Muhammad Khoirul
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Computer Science & IT

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Perancangan dan Implementasi Fitur Pencairan Cepat pada Website Akademik Fakultas Arifin, Muhammad Khoirul; Sari, Rafika
Journal of Informatic and Information Security Vol. 5 No. 2 (2024): Desember 2024
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/dvqd2c53

Abstract

In the digital era, ease of information access plays a crucial role in the effectiveness of an academic website. The Faculty of Psychology at Universitas Bhayangkara Jakarta Raya faces challenges in providing quick and efficient access to information for users. This internship report aims to design and implement a quick search feature on the faculty’s website to enhance user experience. The methods used include observation, interviews, and literature studies to understand user needs and technical system development. The implementation of a JSON-based search feature allows for faster and more accurate information retrieval. Testing results show that this feature improves search efficiency by up to 90%, with high user satisfaction based on conducted surveys. Future development may include integration with a more complex database system and the addition of filtering features to improve search result relevance
Perancangan Aplikasi E-Commerce Berbasis Website Menggunakan Algoritma Content Based-Filtering Pada Toko Smoodie Foodie Arifin, Muhammad Khoirul; Mugiarso; Sari, Rafika
Journal of Informatic and Information Security Vol. 6 No. 1 (2025): Juni 2025
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/83a4yw27

Abstract

The development of digital technology is driving transformation in the trade sector, including the increasing use of e-Commerce   platforms. However, challenges such as sales disparities between products still occur, such as at the Smoodie Foodie Store, which still operates conventionally, where 5 of its 16 products have a low sales conversion rate despite being promoted. This research aims to design an e-Commerce   system that facilitates online purchases and increases the visibility of less popular products through the Content-Based Filtering (CBF) algorithm. The system development uses the Waterfall method, from analysis to testing. The uniqueness of this research lies in the integration of a recommendation feature that displays similar products based on title attributes. The result is an e-Commerce   application that is able to recommend products effectively and increase the visibility of products with low sales. Next, system testing covered key functions such as registration, login, product and order management by the admin, and adding products to the cart by the user. Based on the test results, all features showed a "Succsess" status, indicating the system was functioning as expected
Co-Authors Mugiarso Rafika Sari