Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal MDP Student Conference Jurnal Riset Teknik Komputer
Stevany Angel
Universitas Multi Data Palembang
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

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

Found 2 Documents
Search

 1 
Perancangan Website Tiket Online Bird Park Palembang Menggunakan Design Thinking Stevany Angel; Obert Sean; Noviana Engelica; Nora Hafildah
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.14263

Abstract

This research aims to design the official website of Palembang Bird Park as an information medium and online ticket booking platform. Palembang Bird Park, located in the Jakabaring area, has significant tourism potential with a collection of over 1,000 birds from various species. However, the conventional information and ticket booking system has become an obstacle in tourism development. This research applies the Design Thinking method, which includes the stages of Empathize, Define, Ideate, Prototype, and Test, to produce a user-centered design. The result is a website prototype with features including destination information, gallery, ticket prices, online ticket booking, and integrated payment system. Testing using the Black Box Testing method shows that all features function properly, with a success rate of 100%.
ANALISIS PERBANDINGAN FITUR SISTEM REKOMENDASI PADA PLATFORM STREAMING DIGITAL: STUDI DESKRIPTIF NETFLIX, SPOTIFY, DAN YOUTUBE Michel Michel; Stevany Angel; Noviana Engelica; Dorie Kesuma P.
Jurnal Riset Teknik Komputer Vol. 3 No. 2 (2026): Juni : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/3mavww37

Abstract

Digital streaming platforms such as Netflix, Spotify, and YouTube have become an inseparable part of Indonesian society's digital life. Each platform features a content recommendation system designed to enhance user engagement and satisfaction. This study aims to analyze descriptively and qualitatively and compare the recommendation system features implemented by these three platforms. Data were collected through direct observation, literature review, and official documentation analysis. Results show that the three platforms adopt different personalization approaches: Netflix emphasizes visual personalization, Spotify excels in activity context understanding, while YouTube relies on real-time engagement signals. This study provides a comprehensive overview of each platform's characteristics that can serve as a reference for developing local recommendation systems in Indonesia.
Co-Authors Dorie Kesuma P. Michel Michel Nora hafildah Noviana Engelica Obert Sean