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All Journal Technomedia Journal Jurnal Nasional Komputasi dan Teknologi Informasi Aptisi Transactions on Management ADI Journal on Recent Innovation (AJRI) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics ADI Bisnis Digital Interdisiplin (ABDI Jurnal) JINAV: Journal of Information and Visualization Jurnal Manajemen Retail Indonesia (JMARI) International Journal for Applied Information Management International Transactions on Artificial Intelligence (ITALIC)
Rakhmansyah, Mohamad
Universitas Raharja
Religion Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Social Sciences Transportation

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Small and Medium Enterprises (SMEs) with SWOT Analysis Method Rakhmansyah, Mohamad; Wahyuningsih, Tri; Srenggini, Abdullah Dwi; Gunawan, I Ketut
International Journal for Applied Information Management Vol. 2 No. 3 (2022): Regular Issue: September 2022
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v2i3.37

Abstract

This study aims to determine the strengths, weaknesses, opportunities and threats to SMEs in utilizing social media as a marketing tool and to find out the most effective marketing strategies to run in order to increase sales. The method used is SWOT analysis, and in data processing using excel. In collecting data using a questionnaire method distributed in the January 2021 period with a total of 226 respondents. The results obtained by SMEs in utilizing social media as marketing are in quadrant I, which means that the strategy used is a growth strategy, namely the SO strategy which is a strategy that uses strengths to take advantage of opportunities that exist in SMEs. Its implementation is to increase the intensity of promotions, maintain product and service quality, maintain and increase customer trust, be communicative to customers.
Integrating Blockchain and AI in Business Operations to Enhance Transparency and Efficiency within Decentralized Ecosystems Rakhmansyah, Mohamad; Hadi, Muhammad Saiful; Junaedi, Sausan Raihana Putri; Ramahdan, Fikri Arsla; Putra, Souza Nurafrianto Windiartono
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1177

Abstract

This study explores the integration of Blockchain and Artificial Intelligence (AI) technologies in business operations, aiming to enhance transparency and operational efficiency within decentralized ecosystems. Blockchain offers so- lutions to trust issues in business systems through its secure and transparent characteristics, while AI plays a pivotal role in data analysis and automating decision-making. This study uses a qualitative research approach, incorporat- ing case studies and expert interviews to examine the potential and challenges of applying these technologies. The results show that integrating Blockchain and AI accelerates business processes, reduces operational costs, and fosters trust among stakeholders in decentralized ecosystems. However, challenges such as technology adoption, scalability, and initial implementation costs remain signif- icant barriers. This research contributes to the development of more efficient and transparent operational strategies through the application of advanced tech- nologies, and provides a foundation for future research on the impact of these technologies in global business sectors.
Revolutionizing Financial Services with Big Data and Fintech: A Scalable Approach to Innovation Rahardja, Untung; Miftah, Mohammad; Rakhmansyah, Mohamad; Zanubiya, Jihan
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1180

Abstract

Interpretable Deep Vision Model Enhancing Robustness and Transparency in Robotic Perception Shahzada Muhammad Ali; Mohamad Rakhmansyah; Aulia Rahma Dina; Zeze Nanle
International Transactions on Artificial Intelligence Vol. 4 No. 2 (2026): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i2.1062

Abstract

The increasing deployment of artificial intelligence in robotic perception systems necessitates models that are both accurate and interpretable to ensure reliable decision-making in dynamic environments. This study proposes an intrinsically interpretable deep vision framework designed to enhance robustness and transparency in robotic perception tasks. The framework integrates convolutional feature extraction with embedded attention mechanisms, producing predictive outputs alongside spatially interpretable explanations. Experiments were conducted on publicly available benchmark datasets, including RGB-D Object Dataset, KITTI Vision Benchmark Suite, and adapted COCO subsets, covering scenarios with varying illumination, occlusion, and background complexity. Performance was evaluated through classification accuracy, precision, recall, localization consistency, and stability across repeated executions, with statistical validation using paired two-tailed t-tests and confidence interval analysis. Results indicate that the proposed framework maintains competitive accuracy while providing superior localization consistency, reduced variance, and stable attention behavior compared with conventional CNN baselines and post-hoc explanation methods. These findings demonstrate that embedding interpretability within the model architecture improves both predictive reliability and operational transparency. The proposed approach addresses key challenges in real-world robotic applications, facilitating safer automation, enhanced user trust, and alignment with regulatory expectations for explainable AI. By combining accuracy, robustness, and interpretability, this framework provides a scalable solution for intelligent robotic perception systems, supporting sustainable and responsible deployment in complex environments. The study highlights the critical role of intrinsic interpretability as a design principle for AI-driven robotics, offering practical insights for researchers, system developers, and policymakers seeking to advance trustworthy autonomous systems.
Co-Authors Abudaqa, Anas Adam Faturahman Andwiyan, Denny Anjani, Sheila Aulia Aulia Rahma Dina Davies, Mary Dlamini, Sipho Eduard Hotman Purba Fitrianto, Taufiq Nur Gulo, Nitema Hadi, Muhammad Saiful Hermawan, Pandu I Ketut Gunawan Ikraman, Ikraman Ira Geraldina Junaedi, Sausan Raihana Putri Khoirunisa, Alfiah Meri Mayang Sari Miftah, Mohammad Mulyati Mulyati Ninda Lutfiani Nuke Puji Lestari Santoso Po Abas Sunarya Putra, Souza Nurafrianto Windiartono Ramahdan, fikri Arsla Riskhandini, Dinda Putri Shahzada Muhammad Ali Shepard, Anjani Srenggini, Abdullah Dwi Sunarjo, Richard Andre Supriyanti, Dedeh Susanto, Sugeng Tri Wahyuningsih Untung Rahardja Wijaya, Surta Wijayanti, Fitri Dwi Zanubiya, Jihan Zeze Nanle