Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal JSAI (Journal Scientific and Applied Informatics) Jurnal Teknik Informatika dan Teknologi Informasi
Fersellia Fersellia
Universitas Ma’arif Nahdlatul Ulama Kebumen
Computer Science & IT

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

Found 2 Documents
Search

 1 
Pengembangan E-Commerce Berbasis Website (Studi Kasus: pada Warung Seblak Mbak Sari Desa Karangasem) Laeli Nurul Latifah; Fersellia Fersellia
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 3 (2025): Desember: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i3.6480

Abstract

The advancement of digital technology has driven significant transformations in the business sector, including the culinary industry, through the adoption of E-commerce. Warung Seblak Mbak Sari previously faced several challenges, such as manual transaction recording, limited market reach, and unintegrated digital promotion. This study aims to develop an E-commerce website as a solution to improve service efficiency and expand marketing reach. The method applied is Rapid Application Development (RAD), which consists of the Requirement Planning, User Design, Construction, and Cutover phases. The system was designed using Data Flow Diagrams (DFD) and Entity Relationship Diagrams (ERD), and implemented using PHP and MySQL. The development results show that the website can display menus, process online orders, perform automatic checkout, manage products, and generate sales reports. Blackbox Testing proves that all features function as required, enabling the system to reduce recording errors, accelerate transaction processes, and increase marketing reach. Therefore, the implementation of this web-based E-commerce can help culinary MSMEs manage their businesses more effectively and competitively in the digital era.
Model Rekomendasi Musik Berbasis Representasi Semantik Lirik Lagu Menggunakan BERT Dziaul Hululiah zia; Fersellia Fersellia
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9919

Abstract

The rapid growth of digital music platforms has resulted in an information overload problem, making it difficult for users to discover songs that match their preferences. This study proposes a content-based music recommendation model through semantic analysis of song lyrics using a Natural Language Processing approach with Bidirectional Encoder Representations from Transformers. The research stages include Indonesian song lyric data collection, data cleaning, text preprocessing, contextual lyric embedding generation, and lyric similarity computation using cosine similarity. Model performance is evaluated using Mean Squared Error and accuracy. Experimental results show that the proposed model achieves an accuracy of 83.69% with a Mean Squared Error value of 1.4066, indicating that lyric representations generated by Bidirectional Encoder Representations from Transformers effectively capture semantic meaning and quantitatively improve the relevance of music recommendations. Therefore, the proposed approach enhances the accuracy and personalization of content-based music recommendation systems.
Co-Authors Dziaul Hululiah zia Laeli Nurul Latifah