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All Journal Jurnal Ar Ro'is Mandalika (Armada) Journal of Knowledge and Collaboration
Ramadhan, Gildan Jaya Muhammad
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Religion Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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Big Data Analytics: Techniques, Tools, and Applications in Various Industries Ramadhan, Gildan Jaya Muhammad; Niam, Sukron
Jurnal Ar Ro'is Mandalika (Armada) Vol. 3 No. 2 (2023): JURNAL AR RO'IS MANDALIKA (ARMADA)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/armada.v3i2.2835

Abstract

Big data analytics has emerged as a powerful tool for extracting valuable insights from large and complex datasets across diverse industries. This article provides a comprehensive review of the techniques, tools, and applications of big data analytics in various industries. Through qualitative analysis and extensive literature review, this study explores the key methods and technologies used in processing and analyzing massive volumes of data to uncover hidden patterns, trends, and correlations. The article discusses the significance of big data analytics in enhancing decision-making processes, optimizing operations, and gaining competitive advantages in today's data-driven economy. Furthermore, it examines the challenges and opportunities associated with implementing big data analytics solutions across different sectors. By examining real-world case studies and industry examples, this research highlights the practical applications of big data analytics in areas such as healthcare, finance, manufacturing, retail, and marketing. The findings underscore the transformative impact of big data analytics on improving business performance, customer engagement, and innovation across diverse domains. Overall, this article aims to contribute to the understanding of big data analytics techniques and their wide-ranging applications, providing insights for researchers, practitioners, and decision-makers in leveraging data-driven approaches to drive organizational success.
Optimalisasi Jaringan dan Infrastruktur TI untuk Mendukung Proses Belajar Mengajar di Sekolah Ramadhan, Gildan Jaya Muhammad
Journal of Knowledge and Collaboration Vol. 1 No. 1 (2024): Journal of Knowledge and Collaboration
Publisher : Arbain Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/vpc49n04

Abstract

Di era digital saat ini, jaringan dan infrastruktur teknologi informasi (TI) berperan penting dalam mendukung proses belajar mengajar di sekolah.  Artikel ini menjelaskan pentingnya mengoptimalkan jaringan dan infrastruktur TI untuk meningkatkan efisiensi, keterlibatan, dan kualitas pembelajaran di lingkungan sekolah. Optimalisasi jaringan meliputi peningkatan kecepatan akses Internet, kapasitas bandwidth yang memadai, dan penerapan teknologi jaringan yang handal. Saat ini, infrastruktur TI mencakup perangkat keras, perangkat lunak, dan sistem pengelolaan data yang mendukung kegiatan pembelajaran. Jaringan dan infrastruktur TI yang optimal memungkinkan sekolah menerapkan model pembelajaran berbasis digital seperti e-learning, blended learning, dan flippedclassroom yang memberikan siswa akses fleksibel dan interaktif terhadap sumber belajar. Namun, pengoptimalan ini juga memiliki beberapa tantangan: Contoh: keterbatasan anggaran, keamanan jaringan,  kebutuhan pelatihan fakultas, dll. Oleh karena itu, artikel ini juga membahas strategi dan solusi untuk mengatasi tantangan tersebut, seperti alokasi anggaran yang efisien, penerapan protokol keamanan yang ketat, dan pelatihan TI untuk guru. Harapannya, dengan mengoptimalkan jaringan dan infrastruktur TI yang tepat, sekolah dapat menciptakan lingkungan belajar yang lebih dinamis, interaktif, dan efektif bagi siswa dan staf.
Co-Authors Niam, Sukron