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All Journal Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Jejak digital: Jurnal Ilmiah Multidisiplin
Bagus Satrio Wicaksono
Universitas Pembangunan Nasional “Veteran” Jawa Timur
Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Sistem Rekomendasi Linimasa Facebook Berdasarkan Topik Kesukaan Pengguna Menggunakan Metode Content-Based Filtering & Term Frequency-Inverse Document Frequency Bayu Setiawan; Bagus Satrio Wicaksono; Muhammad Hilmy Aziz; Anggraini Puspita Sari
MISTER: Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 1 No. 3c (2024): JULI (Tambahan)
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v1i3c.2004

Abstract

This research aims to identify Facebook timeline recommendation systems based on user habits using Content-Based Filtering (CBF) and Term Frequency-Inverse Document Frequency (TF-IDF) methods. By utilizing historical user activity data, this system will customize content recommendations for individual users. The CBF method is used to compare the similarity of the content to be recommended with the user's habits, while TF-IDF is used to evaluate various keywords in the content. The results of this study show that the combination of CBF and TF-IDF methods can improve the accuracy of recommendation in Facebook timeline, resulting in a more convenient and relevant user experience.
Perancangan Server-Side Website E-Commerce Menggunakan Metode Waterfall pada PT Bizhub Digital Indonesia Muhammad Hilmy Aziz; Bagus Satrio Wicaksono; Muhammad Akbar Nurdianto; Ardhon Rakhmadi
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/qyp25h29

Abstract

PT Bizhub Digital Indonesia previously relied on third-party affiliate platforms for its promotional activities. This reliance incurred additional operational costs and limited the company's control over centralized partner management. This study aims to design and implement a server-side infrastructure (REST API) for an e-commerce platform with an independent affiliate feature to resolve these operational issues. The system development adopted the Waterfall method, which includes requirements analysis, system design, implementation, and testing. The backend infrastructure was built using the Hono.js framework, TypeScript language, and Bun runtime environment. The design resulted in 16 relational database tables and 12 API module groups documented via Swagger UI. Core functionalities include JSON Web Token (JWT) authentication, order management, and payment gateway integration via webhook to automate payment status conversion and affiliate commission distribution in real-time. Functional evaluation using Black-Box Testing on 54 API endpoints demonstrated a 100% operational success rate. The resulting system is proven reliable and capable of reducing third-party dependency, providing operational control efficiency, and enhancing the transparency of the company's financial reporting.
Co-Authors Anggraini Puspita Sari Ardhon Rakhmadi Bayu Setiawan Muhammad Akbar Nurdianto Muhammad Hilmy Aziz