Mohammad Mansyur Abidin
Institu Sains dan Teknologi Terpadu Surabaya

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

ADOPSI MOBILE PAYMENT DENGAN MENGGUNAKAN EXTENDED UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY Mohammad Mansyur Abidin; Edwin Pramana; Judi Prajetno Sugiono
Joutica Vol 8, No 1 (2023): Journal of Informatic Unisla
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/informatika.v8i1.922

Abstract

Perkembangan mobile payment cukup cepat beberapa tahun terakhir hingga mencapai 2,07 miliar pengguna pada tahun 2019. Penelitian ini bertujuan untuk menguji faktor-faktor yang mempengaruhi behavioral intention pelanggan mobile payment di Indonesia. Model teoritis dikembangkan dengan menggabungkan konstruk utama UTAUT (social influence, effort expectancy, performance expectancy, dan behavioral intention) dengan beberapa konstruk eksogen tambahan dari penelitian sebelumnya (perceived convenience, trust, perceived security). Responden Penelitian ini adalah 408 orang yang pernah menggunakan mobile payment minimal 4 kali dalam sebulan. responden tersebar di beberapa kota di Indonesia khususnya Pulau Jawa. data dianalisa menggunakan metode Structural Equation Modeling (SEM). Social influence, perceived convenience, performance expectancy, perceived security, effort exepectancy menunjukkan hasil yang signifikan dalam mempengaruhi behaviral intention pelanggan dalam mengadopsi mobile payment. Trust menjadi satu-satunya konstruk yang tidak signifikan dalam mempengaruhi behavioral intention pelanggan dalam mengadopsi mobile payment. Effort expectancy dan trust menunjukkan hasil yang signifikan dalam mempengaruhi performance expenctancy. Perceived security juga terbukti secara signifikan mampu memberikan pengaruh yang signifikan terhadap trust.
Integration of Natural Language Processing in a Web-Based Translanguaging System for Arabic-Indonesian Language Learning Reknadi, Danang Bagus; Abidin, Mohammad Mansyur; Choiri, Achmad Firman
Journal of Informatics Development Vol. 4 No. 1 (2025): Oktober 2025
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/jid.v4i1.1753

Abstract

Arabic–Indonesian language learners often face challenges in understanding the contextual meaning of texts due to differences in morphological and syntactic structures between the two languages. To address this, this study proposes the development of a web-based translanguaging system integrated with Natural Language Processing (NLP) to help users understand and translate texts more meaningfully. This system was developed using the Waterfall model with stages of requirements analysis, design, implementation, testing, and maintenance. The implemented NLP module includes tokenization, part-of-speech tagging, and sentence structure analysis to produce translations that consider context, not just literal word equivalents. The implementation results show that the system is able to improve user comprehension of Arabic–Indonesian texts with a simple and accessible interface. Furthermore, the translation history feature supports continuous self-learning. Although the system still has limitations in handling idiomatic text and complex sentence structures, the NLP integration has proven effective in improving the quality of translanguaging. This research contributes to the development of bilingual learning technology and can be further developed using deep learning models such as BERT or mBERT to improve semantic and contextual accuracy.
Adopsi Google Classroom Menggunakan Extended Technology Acceptance Model (EX-TAM) Mohammad Mansyur Abidin
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 11 No 1 (2025): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v11i1.10426

Abstract

This study examines factors influencing the adoption of Google Classroom among students at private universities in East Java using the Extended Technology Acceptance Model (EX-TAM). The model integrates core TAM constructs and external variables including Social Influence, Motivation, Perceived Enjoyment, and Self-Efficacy. Data from 146 respondents were analyzed using LSR-SEM. Findings indicate that Perceived Ease of Use and Perceived Usefulness significantly influence Behavioral Intention, while Social Influence does not. Motivation and Self-Efficacy significantly affect Perceived Ease of Use, whereas Perceived Enjoyment does not. Perceived Ease of Use also significantly impacts Perceived Usefulness. These results highlight the importance of perceived ease of use, perceived usefulness, and self efficacy in encouraging the adoption of digital learning platforms.