Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Informatika dan Teknik Elektro Terapan Journal of Computing and Informatics Research
Dedin Fathudin
Unknown Affiliation
Computer Science & IT

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

Found 2 Documents
Search

 1 
Utilizing K-Means Clustering to Understanding Audience Interest in SEO-Optimized Media Content Erlin Windia Ambarsari; Dedin Fathudin; Gravita Alfiani
Journal of Computing and Informatics Research Vol 3 No 2 (2024): March 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v3i2.1207

Abstract

This study observes k-means clustering for segmenting SEO data to understand audience interests, identifying the elbow method as crucial for determining the optimal number of clusters. It highlights notable differences in content engagement across clusters, emphasizing the need for refined SEO strategies and a deeper understanding of audience segmentation. Despite challenges like SEO's dynamic nature and data reliance, this methodology provides a strong foundation for enhancing content strategies. Future research suggestions include cross-platform data integration, longitudinal studies, sentiment analysis, content experimentation, user experience (UX) focus, and monitoring algorithm updates to develop more adaptive content and SEO strategies aligned with changing audience behaviors.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN JURUSAN SMA MENGGUNAKAN METODE SMART (STUDI KASUS: SMP ISLAMIYAH SAWANGAN) Rarita Octaviani Sajallah; Dedin Fathudin
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10683

Abstract

Abstract. In accordance with the partner school's new majoring policy effective from the 2026/2027 academic year, senior high school (SMA) major placement is now conducted in grade XI, shifting decision support systems at the junior high school (SMP) level from final decision-making to early recommendation. This study develops a web-based Decision Support System (DSS) using the Simple Multi Attribute Rating Technique (SMART) method to help students of SMP Islamiyah Sawangan obtain an objective preliminary major recommendation. The assessment uses two benefit-type criteria: Academic Interest (C1, 60%) and Academic Score (C2, 40%), with utility values normalized against three major alternatives (Science, Social Studies, and Language). The system was built using PHP, MySQL, and XAMPP. In an illustrative case, SMART produced final scores of 0.6000 (Science), 0.4546 (Social Studies), and 0.4000 (Language), with manual and system calculations yielding identical results across all alternatives. Black box testing on 14 scenarios showed all system functions operated as expected. These results demonstrate that SMART can support objective preliminary major recommendations as a preparatory tool for guidance counselors rather than the final decision-maker, with validation on a broader student population identified as a direction for future research.
Co-Authors Erlin Windia Ambarsari Gravita Alfiani Rarita Octaviani Sajallah