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All Journal West Science Interdisciplinary Studies West Science Interdisciplinary Studies SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Zalsahra, Rendy
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation

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Bibliometric Analysis of Artificial Intelligence Nur’aeni, Rohimatun; Zalsahra, Rendy
West Science Interdisciplinary Studies Vol. 2 No. 01 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i01.563

Abstract

Artificial Intelligence Bibliometric Analysis (AI) is a study involving quantitative measurement and evaluation of scientific literature on artificial intelligence. Relevant keywords in this analysis include "artificial intelligence", "machine teaching", "deep training", and "This method allows researchers to identify major developments and focus in artificial intelligence research, provide insight into the authors' contributions, and understand the direction of this science. Artificial intelligence is a branch of computer science that focuses on developing computing systems that can perform tasks that normally require human intelligence. Using algorithms and mathematical models, AI can process data quickly, identify patterns, and make intelligent decisions.AI development has created applications that have changed the way we work, learn, and interact. From efficient automation systems to virtual assistants that understand and respond to human conversations, AI has made significant contributions to improving productivity and quality of life. We use VOSviewer software to classify the material after reviewing the database.
Bibliometric Analysis of Artificial Intelligence Nur’aeni, Rohimatun; Zalsahra, Rendy
West Science Interdisciplinary Studies Vol. 2 No. 01 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i01.563

Abstract

Artificial Intelligence Bibliometric Analysis (AI) is a study involving quantitative measurement and evaluation of scientific literature on artificial intelligence. Relevant keywords in this analysis include "artificial intelligence", "machine teaching", "deep training", and "This method allows researchers to identify major developments and focus in artificial intelligence research, provide insight into the authors' contributions, and understand the direction of this science. Artificial intelligence is a branch of computer science that focuses on developing computing systems that can perform tasks that normally require human intelligence. Using algorithms and mathematical models, AI can process data quickly, identify patterns, and make intelligent decisions.AI development has created applications that have changed the way we work, learn, and interact. From efficient automation systems to virtual assistants that understand and respond to human conversations, AI has made significant contributions to improving productivity and quality of life. We use VOSviewer software to classify the material after reviewing the database.
Bibliometric Analysis of Artificial Intelligence Nur’aeni, Rohimatun; Zalsahra, Rendy
West Science Interdisciplinary Studies Vol. 2 No. 01 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i01.563

Abstract

Artificial Intelligence Bibliometric Analysis (AI) is a study involving quantitative measurement and evaluation of scientific literature on artificial intelligence. Relevant keywords in this analysis include "artificial intelligence", "machine teaching", "deep training", and "This method allows researchers to identify major developments and focus in artificial intelligence research, provide insight into the authors' contributions, and understand the direction of this science. Artificial intelligence is a branch of computer science that focuses on developing computing systems that can perform tasks that normally require human intelligence. Using algorithms and mathematical models, AI can process data quickly, identify patterns, and make intelligent decisions.AI development has created applications that have changed the way we work, learn, and interact. From efficient automation systems to virtual assistants that understand and respond to human conversations, AI has made significant contributions to improving productivity and quality of life. We use VOSviewer software to classify the material after reviewing the database.
PERANCANGAN DAN IMPLEMENTASI BOT WHATSAPP OTOMATIS MENGGUNAKAN NODE JS DAN BAILEYS BERBASIS WEBSITE (STUDI KASUS: TOKO UNTITLED) Zalsahra, Rendy; Sujadi, Harun; Suhendri
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to design and implement an automated WhatsApp bot system based on Node.js and the Baileys library, equipped with a web dashboard as a management interface without requiring a Command Line Interface (CLI). The research method follows the Waterfall model, encompassing requirements analysis, system design, implementation, Black-Box testing, and maintenance. Implementation results demonstrate that the WhatsApp bot can automatically respond to customer messages based on keywords, accelerate the sales process of premium digital applications, and improve customer service efficiency at the Untitled store. The web dashboard enables administrators to control the bot and manage message templates more flexibly. The study concludes that the developed system is effective in streamlining digital account sales operations and provides a foundation for further enhancements such as automatic payment integration and the application of Natural Language Processing (NLP).
Co-Authors Harun Sujadi Nur’aeni, Rohimatun Suhendri