Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi JOMLAI: Journal of Machine Learning and Artificial Intelligence
Heba Elsisy Fadlia
Unknown Affiliation
Computer Science & IT Engineering

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

Found 2 Documents
Search

 1 
RANCANG BANGUN SISTEM INFORMASI BERBASIS WEB RESPONSIF UNTUK PEMESANAN PAKET WEDDING ORGANIZER MENGGUNAKAN METODE EXTREME PROGRAMMING Damar Arya Prayoga; Edric Firjatullah; Nani Hidayati; Nurhidayanti; Heba Elsisy Fadlia
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 01 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i01.984

Abstract

Perkembangan teknologi informasi mendorong wedding organizer (WO) untuk mengadopsi inovasi digital guna meningkatkan efisiensi dan kualitas layanan. Penelitian ini bertujuan untuk merancang sistem informasi berbasis web responsif pada S.D Wedding Organizer di Tanah Jawa, yang sebelumnya masih menggunakan metode manual. Dengan metode Extreme Programming (XP), penelitian ini mencakup tahap perencanaan, desain, pengkodean, dan pengujian untuk menghasilkan sistem yang user-friendly dan sesuai kebutuhan. Sistem ini memungkinkan pelanggan untuk memesan paket pernikahan secara online, mengakses informasi layanan, serta mengurangi hambatan dalam komunikasi dan pemesanan. Sistem dibangun menggunakan PHP dan MySQL, dilengkapi fitur seperti login pengguna, pemesanan, dan pengelolaan data. Hasilnya menunjukkan bahwa sistem ini meningkatkan efisiensi operasional WO serta memberikan pengalaman pengguna yang lebih baik. Penelitian ini diharapkan menjadi acuan dalam implementasi teknologi digital di sektor industri pernikahan.
Application of the Gaussian Mixture Models (GMM) Algorithm to Identify Error Patterns in Compilation Ayu Utari Nasution; Eko Prima Ambarita; Nurhidayanti, Nurhidayanti; Heba Elsisy Fadlia; Victor Asido Elyakim P
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 2 (2025): Juni 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i2.5960

Abstract

In software development, the compilation process is a critical step that transforms source code into executable programs. These compilation errors can vary from simple syntax errors to more complex semantic errors, which often require a lot of time and effort to identify and fix. As a result, identifying recurring error patterns in the compilation process is important to improve software development efficiency. This study aims to explore the application of GMM in identifying error patterns in the compilation process. The results of this study indicate that the value of 0.58 on the Silhouette Score indicates that the clustering performed by GMM is quite good at identifying error patterns in compilation. The clusters are divided into 3, namely, Cluster 0 may indicate types of errors that occur more quickly (possibly related to syntax errors), with fewer lines of code and lower error frequency. Cluster 1 may represent more complex and less frequent errors (e.g., linker or runtime errors), with more lines of code. Cluster 2 may contain errors with different patterns, such as higher compilation duration or more frequent error frequency.
Co-Authors Ayu Utari Nasution Damar Arya Prayoga Edric Firjatullah Eko Prima Ambarita Nani Hidayati Nurhidayanti Nurhidayanti, Nurhidayanti Victor Asido Elyakim P