Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT
Wijayadi, Eneng Mila Lestari
Unknown Affiliation
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Neuroscience Transportation

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

Found 2 Documents
Search

 1 
Efektivitas Pemanfaatan Pinterest Terhadap Kreativitas Pengguna Uddin, Badie; Basam, Devina Dewi Faustina; Wijayadi, Eneng Mila Lestari
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 4 (2024): Agustus 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i4.7817

Abstract

Abstrak - Pinterest adalah platform media sosial dan mesin pencari visual yang memungkinkan pengguna untuk menemukan, mengumpulkan, dan berbagi ide serta inspirasi melalui gambar dan video. Pengguna dapat menyimpan "pin" ke dalam "board" yang diorganisir berdasarkan tema seperti resep, mode, dan dekorasi rumah. Algoritma Pinterest merekomendasikan pin berdasarkan minat pengguna, membantu mereka menemukan konten baru yang relevan. Platform ini efektif dalam meningkatkan kreativitas dengan memberikan akses ke berbagai ide dan inspirasi dari seluruh dunia, serta memfasilitasi kolaborasi melalui fitur grup board. Namun, pengguna perlu berhati-hati terhadap overload informasi, risiko hak cipta, dan komparasi sosial yang dapat berdampak negatif. Meskipun ada tantangan, Pinterest tetap menjadi alat yang berharga untuk mendukung kreativitas dan pengetahuan.Kata kunci: Pinterest, Platfrom, Informasi, Kreativitas Abstract - Pinterest is a social media platform and visual search engine that allows users to discover, collect and share ideas and inspiration through images and videos. Users can save "pins" into "boards" organized by themes such as recipes, fashion, and home decor. Pinterest's algorithm recommends pins based on users' interests, helping them discover new, relevant content. The platform is effective in enhancing creativity by providing access to ideas and inspiration from around the world, and facilitates collaboration through the group board feature. However, users need to be mindful of information overload, copyright risks, and social comparisons that can have a negative impact. Despite its challenges, Pinterest remains a valuable tool for supporting creativity and knowledge.Keywords: Pinterest, Platform, Information, Creativity
Analisis Data Warehouse Pada Perpustakaan Universitas XYZ Untuk Efisiensi Manajemen Menggunakan Metode Kimball 4 Langkah Uddin, Badie; Wijayadi, Eneng Mila Lestari; Maharani, Aprilia zahra; Barren, Kailal Wafa Auladal
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 2 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i2.7323

Abstract

The XYZ University Library faces recurring book losses that affect the efficiency of library collection management. This study aims to develop a data-driven analysis system to identify loss patterns and support decision-making. The proposed solution uses a Data Warehouse approach with the Kimball Four-Step method and the ETL (Extract, Transform, Load) process. This methodology includes business process selection, grain declaration, dimension identification, and fact determination. Library transaction data from 2022 to 2024 was extracted, transformed, and loaded into a MySQL-based warehouse and visualized using Power BI. The analysis revealed that popular book categories, such as novels, were the most frequently lost. The visualization also enabled trend analysis based on time, book types, and user segments. The findings highlight a significant decline in loss cases, from 27 in 2022–2023 to 13 in 2023–2024, suggesting improved monitoring and management. The study demonstrates that the Data Warehouse approach effectively supports historical data analysis and provides accurate insights for sustainable library policy formulation.
Co-Authors Badie Uddin Barren, Kailal Wafa Auladal Basam, Devina Dewi Faustina Maharani, Aprilia Zahra