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All Journal Jurnal Cendekia : Jurnal Pendidikan Matematika ELT-Lectura Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Infotekmesin Jurnal Informasi dan Teknologi Community Development Journal: Jurnal Pengabdian Masyarakat SWARNA West Science Interdisciplinary Studies Science Information System and Technology JURNAL PENDIDIKAN PEMBELAJARAN DAN PEMBERDAYAAN MASYARAKAT Power Elektronik : Jurnal Orang Elektro SWARNA: Jurnal Pengabdian Kepada Masyarakat Journal of Computer Science Advancements
Muchamad Sobri Sungkar
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

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The Effect of Security Levels, Resource Requirements, and Scalability on User Acceptance of Cloud Computing Systems in Technology Companies in Indonesia Muhamad Bakhar; Muchamad Sobri Sungkar
West Science Interdisciplinary Studies Vol. 1 No. 12 (2023): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v1i12.509

Abstract

This research investigates the impact of security levels, resource requirements, and scalability on user acceptance of cloud computing systems in technology companies in Indonesia. Employing a quantitative approach, the study involves a sample of 250 respondents from diverse companies. The research employs Structural Equation Modeling with Partial Least Squares (SEM-PLS) for data analysis. Descriptive statistics, measurement model assessment, discriminant validity analysis, and structural model assessment are conducted to explore relationships between variables. Results reveal significant positive relationships between security levels, resource requirements, scalability, and user acceptance. The study provides insights into the critical factors influencing cloud computing adoption in Indonesia's dynamic technological landscape.
Analysis of the Influence of Artificial Intelligence (AI), Machine Learning, and Data Analytics on Marketing Performance at Technology Start-Ups in Jakarta Muchamad Sobri Sungkar; Mukrodin Mukrodin; Muhamad Bakhar
West Science Information System and Technology Vol. 2 No. 03 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i03.1479

Abstract

The integration of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics has transformed marketing practices, especially in technology-driven sectors like start-ups. This study examines the influence of these technologies on marketing performance in technology start-ups in Jakarta using quantitative analysis. Data were collected from 150 respondents through a structured questionnaire and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings reveal that AI, ML, and Data Analytics each have significant positive impacts on marketing performance, with Data Analytics emerging as the strongest individual predictor. Moreover, the combined use of these technologies demonstrates a synergistic effect, amplifying their overall influence. These results highlight the critical role of technology integration in enhancing marketing efficiency, customer engagement, and return on investment. The study contributes to the theoretical understanding of technology adoption in marketing and provides actionable insights for start-ups aiming to leverage these tools for competitive advantage.
Website-based Library Information System at SMK Muhammadiyah Adiwerna Muhamad Bakhar; Muchamad Sobri Sungkar; Ulil Albab
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.672

Abstract

This study aims to design and develop a web-based library information system to enhance the efficiency and accuracy of library management at SMK Muhammadiyah Adiwerna, Tegal Regency. The main issues previously encountered were error-prone manual recording, slow data retrieval, and difficulties in generating reports. The system was designed using the waterfall method with PHP as the programming language and MySQL as the database. The key features developed include book borrowing and returning records, book and member data management, as well as customized dashboard displays for administrators and users (teachers/students). System testing was conducted using the black box testing method on the main functionalities. The test results indicate that the system operates in accordance with the specifications and user requirements. This system has successfully improved the efficiency, speed, and ease of access to library information.
IMPLEMENTATION OF COMPUTER VISION AND NATURAL LANGUAGE PROCESSING IN SOCIAL ROBOTS FOR MORE NATURAL AND INTUITIVE HUMAN-ROBOT INTERACTION Muchamad Sobri Sungkar; James Chirwa; Giorgi Bagrationi
Journal of Computer Science Advancements Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i4.2348

Abstract

The rapid advancement of artificial intelligence (AI) has driven significant developments in social robotics, particularly in enabling more natural and intuitive human-robot interaction (HRI). However, current social robots often struggle to interpret multimodal human input effectively, leading to limited contextual understanding and reduced interaction quality. This study addresses these challenges by integrating computer vision (CV) and natural language processing (NLP) to enhance robots’ perceptual and communicative capabilities. The primary aim is to design and evaluate an interaction framework that allows social robots to recognize human emotions, gestures, and spoken language more accurately, thereby improving the fluency of HRI. A mixed-methods approach was employed, combining experimental implementation with qualitative user studies. The system architecture integrates real-time image recognition, gesture tracking, and speech understanding modules, which were tested through laboratory simulations involving 50 participants in controlled social scenarios. The results demonstrate that robots equipped with CV and NLP modules achieved a 30% improvement in gesture recognition accuracy, a 25% increase in contextual language understanding, and significantly higher user satisfaction scores compared to baseline models. Users reported that the robots exhibited more human-like responsiveness and adaptability in conversational settings. These findings suggest that combining computer vision and NLP substantially improves the naturalness and intuitiveness of human-robot interactions. This research highlights the importance of multimodal AI integration for the next generation of socially intelligent robots and paves the way for applications in healthcare, education, and service industries.
Co-Authors Agung Wirjawan Anung - Bahrun Niam Giorgi Bagrationi Givy Devira Ramady Hersiyati Palayukan James Chirwa Kadir, Dalimawaty M. Taufik Qurohman Martselani Adias Sabara Muhamad Bakhar Qirom Qirom Ratna Novita Punggeti Rissa Megavitry Rony Darpono St Rahmah Syaefani Arif Romadhon Syaefani Arif Romadhon - Ulil Albab Yoddy Agung Nuhgraha