Siti Farah Fakhirah
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Implementasi Design Thinking dalam Perancangan UI/UX Dashboard Monitoring Sales One Direction pada PT. XYZ Siti Farah Fakhirah
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 4 (2025): Oktober: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i4.1113

Abstract

Advancements in modern information technology continuously require companies to present complex data more effectively, especially within the scope of sales management and business decision-making. Dashboards are essential, interactive tools that enable professionals and managers to make strategic decisions quickly, confidently, and based on accurate data visualization. This study focuses on designing an intuitive and user-centered Sales Monitoring Dashboard UI/UX for One Direction at PT. XYZ by applying the five iterative stages of the Design Thinking method, namely empathize, define, ideate, prototype, and test. Key user needs identified include real-time performance summaries, streamlined navigation flow, informative visual hierarchy, and visuals that remain consistent with corporate identity and brand values. The System Usability Scale (SUS) test involving 19 respondents resulted in an excellent average score of 80.92. These findings demonstrate that the Design Thinking approach effectively produces a user-friendly, consistent, and data-driven dashboard interface that supports timely, accurate, and informed business decisions.
Sistem Deteksi Bahasa Isyarat Alfabet Menggunakan Dataset American Sign Language (ASL) dan Algoritma Random Forest Siti Farah Fakhirah; Muhammad Fillah Alfatih; Hasna Nabiilah Widiani; Thoriq Muhammad Pasya; Endang Purnama Giri; Gema Parasti Mindara
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 4 (2024): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i4.4321

Abstract

Introducing alphabetical sign language is necessary to bridge communication between deaf and hard-of-hearing people and their surrounding environment. This research aims to develop a sign language alphabet letter detection system based on American Sign Language (ASL). The research methods include data collection, feature extraction with OpenCV and Mediapipe, model development with Random Forest algorithm, and real-time system testing. The test results show that the developed system can achieve 97% prediction accuracy in recognizing hand patterns that represent ASL letters. The system uses a webcam as real-time input, providing accurate responses in various environmental conditions. This research contributes significantly to developing communication support technology for the deaf community, with implications for increased inclusivity and social engagement.