Article Per Year (5 Year)
p-Index From 2021 - 2026
1.683
P-Index
This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics JOIV : International Journal on Informatics Visualization Sahabat Sosial: Jurnal Pengabdian Masyarakat Barongko : Jurnal Ilmu Kesehatan International Journal of Health Sciences Jurnal Perilaku Kesehatan Terpadu Journal of Asian-african Focus in Health
Abdullah, Rusli
Unknown Affiliation
Humanities Computer Science & IT Dentistry Education Electrical & Electronics Engineering Engineering Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JOIV : International Journal on Informatics Visualization

 1 
A Theoretical Framework of Knowledge Management Systems on Quality Management Systems Nizam Mohammad, Mohammad Fakhrul; Abdullah, Rusli; Ab. Jabar, Marzanah; Haizan Nor, Rozi Nor; Mohd Nur, Nurhayati
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.3633

Abstract

Developing knowledge management systems (KMS) significantly supports, manages, or enhances the organization's knowledge management (KM) processes and activities. However, studies have shown that very few discussions focus on formulating the theoretical framework to support the development of KMS. Therefore, this paper aims to fill the void and gap in developing a more effective and efficient KMS. This study proposes a theoretical framework for KMS in the context of quality management systems (QMS), formulated based on three domain areas: established theories, knowledge management (KM) framework or model, and past KMS. This research output derived seven components of KMS (strategy, actors, KM process, source of knowledge, information management, continuous improvement, and infrastructure). This study has also contributed to the body of knowledge in KM by enriching the formulation of a theoretical framework for KMS. Although this study is conceptual and has yet to include the framework's validity and reliability testing, it has addressed a gap that can be potentially fulfilled and refined with more intense discussion and empirical studies.
Chatbot Adoption Model in Determining Student Career Path Development: Pilot Study Ahmed, Mohamed Hassan; Abdullah, Rusli; Jusoh, Yusmadi Yah; Azmi Murad, Masrah Azrifah
JOIV : International Journal on Informatics Visualization Vol 9, No 1 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.1.3798

Abstract

A career decision is incredibly essential in one's life. It shapes one's future role in society, influences professional development, and can lead to success and fulfillment. Making a sound and consistent career decision based on skills and interests is critical for personal and professional development. Since generative AI is an emerging and revolutionizing technology industry in the market, which is very good in generating contents, providing consultancies and answering questions in humanly fashion, integrating AI chatbots into the career planning process can help students to get more accurate and personalized advice for their future career. This pilot study emphasized the student’s adoption of chatbot technology for career selecting processes utilizing the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model with four additional constructs which influence the student’s career selection, namely: Perceived Student’s External Factors (PEF), Perceived Student’s Interest (PSN), Perceived Career Opportunities (PCO) and Perceived Self-Efficacy (PSF). An online survey was conducted, and 37 responses were received and analyzed. The measurement model produced a promising result, and the discriminant validity, construct reliability and validity of the model were confirmed with a Cronbach’s alpha (α) above 0.70 threshold and AVE over 0.5 cut-off for most of the constructs including the four above mentioned latent variables. However, the Price Value (PPV) and Facilitating Conditions (PFC) UTAUT2 constructs produced alpha () of 0.680 and 0.611 respectively which is still adequate since their AVE is above the 0.5 threshold. Consequently, their interpretation and conclusions should be approached with caution.
Co-Authors Ab. Jabar, Marzanah Agung Nur Cahyanta, Agung Nur Ahmed, Mohamed Hassan Akhmetova, Sabira Arnianti Arnianti Asrianto, Asrianto D/O Arunachalam, Aishwharya Raani Herlambang Prehananto, Herlambang Hitipeuw, Anthoneta Johanna Iztayev, Zhalgasbek Jaya, Rachmat Jusoh, Yusmadi Yah Latif, Sarifudin Andi Mahyudin Mahyudin Masrah Azrifah Azmi Murad, Masrah Azrifah MAURITZ PANDAPOTAN MARPAUNG Mebri, Elysabeth Mohd Nur, Nurhayati Mulat, Trimaya Cahya Musdalifah Musdalifah Mutiara Hikmah Nizam Mohammad, Mohammad Fakhrul Oksfriani Jufri Sumampouw RACHMAT RAMLI Rozi Nor Haizan Nor, Rozi Nor Sabriana, Riska Safridha Kemala Putri Sembiring, Endam Apulina Br Sugeng Santoso Syarief, Syarifah Wahyuni Al Thalib, Kiki Uniatri Tondok, Santalia Banne Umarova, Zhanat Wijayanti, Lumastari Ajeng Zaenal Zaenal, Zaenal Zhumatayev, Nurlybek