Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal of Scientech Research and Development Jurnal Informatics Nivedita
Hadid
Unknown Affiliation
Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences

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

Found 2 Documents
Search

 1 
ANALISIS PENGGUNAAN APLIKASI MERDEKA MENGAJAR BERDASARKAN PERSPEKTIF PERILAKU DENGAN METODE SYSTEM USABILITY SCALE (SUS) Hadid; Defi
Journal of Scientech Research and Development Vol 6 No 2 (2024): JSRD, December 2024
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v6i2.616

Abstract

Sesuai dengan tujuan utama dan fungsi aplikasi Merdeka Mengajar, situs aplikasi Merdeka Mengajar menyajikan informasi mengenai kegiatan pendidikan dan pengajaran. Untuk menilai konten suatu aplikasi, penting untuk menilai kegunaan situs aplikasi dengan menggunakan metode System Usability Scale (SUS). Rumus dari metode System Usability Scale (SUS) digunakan untuk menghitung hasil setelah menganalisis kuesioner yang dibagikan kepada Guru SD Negeri 004 Sungai Salak. Hasil perhitungan dari kuisioner yang telah disebar selanjutnya digunakan sebagai landasan pengembangan rekomendasi dan saran untuk mendapatkan hasil dan kesimpulan yang paling sesuai pada saat evaluasi aplikasi Merdeka Mengajar menggunakan metode System Usability Scale (SUS).
Evaluasi Risiko Implementasi Chatbot AI Pada Mobile Banking Bank XYZ Dengan Metode Octave Allegro Fathin, Afif; Hadid; Angraini
Journal Informatics Nivedita Vol 2 No 1 (2025): Journal Informatics Nivedita
Publisher : Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25078/nivedita.v2i1.5083

Abstract

The chatbot AI SALMAH is implemented in the Mobile Banking service of Bank XYZ Pekanbaru Branch to improve customer service based on Islamic banking principles. The system aims to provide instant, accurate, and syariah-compliant assistance to customers. However, several risks are associated with this AI integration, including data security, regulatory compliance, and user adoption challenges. This study aims to identify potential threats, evaluate risks, and analyze their impact on banking operations using the High-level IT Risk Assessment framework supported by concepts from OCTAVE Allegro. The assessment revealed five key risk factors: syariah regulatory compliance, data security, customer adoption, industry competition, and rapid technological change. Mitigation strategies include strengthening data protection, customer education, system updates, and continuous monitoring. The highest risk was related to data security breaches and inaccurate chatbot responses. This research provides valuable insights for managing IT risks in syariah-based digital banking services and guides further improvements in AI implementation. Future studies may focus on comprehensive mitigation measures and effectiveness monitoring.
Co-Authors Angraini Defi Fathin, Afif