Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal of Information Systems and Informatics Jurnal Pustaka Robot Sister
Bravo, Bram
Institut Bisnis Dan Informatika Indonesia Kwik Kian Gie
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mathematics Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Article Recommendations with Item-Based Collaborative Filtering on Online News Portals Bravo, Bram; Indra, Indra
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.851

Abstract

News portals generate additional traffic or traffic visits from the article recommendation widget. However, it is unfortunate that the traffic visits obtained from the widget are still relatively small. The article recommendation widget is rarely clicked by readers because the available recommended articles are less relevant to readers, resulting in one reader only reading no more than 2 articles obtained from the article recommendation widget. The purpose of this study is to further optimize the currently available article recommendation widget feature by adding reader interest data so that the number of articles read by one user will increase and will directly have an impact on increasing traffic visits. The method used in this study is Item Based Collaborative Filtering. After using the item-based filtering method by calculating the set of items x read and the duration of the reader's time in reading item x. In this study, a simulation was given to one of the reader samples and it was found that the highest interest of the reader sample was in reading sports news with a calculation score is 0.743210. The results of this study are article recommendations that match the reader's interests. The results of the study are expected to help users find articles that match their interests and preferences, so that they can increase the level of interaction and engagement with online media.
Formula Bram Bravo untuk Menghitung Real CPM dan Ad Spend Waste pada Iklan Programmatic Berdasarkan Impresi Publisher Bram Bravo; Suwaebatul Aslamiyah
Jurnal Pustaka Robot Sister (Jurnal Pusat Akses Kajian Robotika, Sistem Tertanam, dan Sistem Terdistribusi) Vol 4 No 1 (2026): Jurnal Pustaka Robot Sister (Pusat Akses Kajian Robotika, Sistem Tertanam, dan Si
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakarobotsister.v4i1.1843

Abstract

Discrepancy atau selisih jumlah impresi antara demand-side platform (DSP) milik agensi dan ad server milik publisher merupakan masalah umum dalam ekosistem periklanan programmatik. Penelitian ini mengajukan formula baru yang dinamakan Bram Bravo Formula untuk menghitung biaya riil iklan (real CPM) berdasarkan data impresi dari sisi publisher. Formula ini juga menghasilkan Bram Bravo Index (BBI) dan Ad Spend Waste (ASW) sebagai metrik kuantitatif kerugian akibat discrepancy. Berbeda dengan pendekatan konvensional yang hanya mengandalkan laporan agensi, formula yang diusulkan memberikan transparansi harga real dan alat negosiasi antara pengiklan, agensi, dan publisher. Validasi dilakukan dengan data simulasi tiga skenario discrepancy (5%, 15%, 30%). Hasil menunjukkan bahwa ASW dapat mencapai hingga 30% dari total anggaran ketika discrepancy tidak dikoreksi. Penelitian ini berkontribusi pada literatur programmatic advertising dengan menyediakan metrik standar yang mudah diadopsi oleh praktisi.
Co-Authors Indra Indra Suwaebatul Aslamiyah