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All Journal Kohesi: Jurnal Sains dan Teknologi Jurnal Riset Multidisiplin Edukasi
Bayu Endru Subiyakto
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Energy Engineering Other

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JARINGAN DAN INTERKONEKSI DALAM KOMPUTER Farwah Assyifaurrohmah; Bayu Endru Subiyakto; Irfan Fauzan; Irvin Hafiz Ramdhani; Muhammad Faiz Fairuuz
Kohesi: Jurnal Sains dan Teknologi Vol. 3 No. 6 (2024): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v3i6.3597

Abstract

Jurnal ini membahas tentang pentingnya jaringan dan interkoneksi dalam komputer untuk mendukung komunikasi dan pertukaran data yang efisien. Di era digital ini, jaringan komputer telah menjadi fondasi dari berbagai layanan dan aplikasi, mulai dari internet hingga komunikasi antar perangkat. Dengan menyelidiki berbagai teknologi dan protokol jaringan, penulis menjelaskan bagaimana interkoneksi yang baik memungkinkan kinerja optimal dari sistem komputer. Diskusi tentang topologi jaringan, perangkat keras, dan perangkat lunak yang digunakan untuk mengelola jaringan juga disertakan untuk memberikan pemahaman yang komprehensif tentang topik ini.
MODEL PARALELISASI MENGGUNAKAN DIVIDE AND CONQUER, PIPELINE, DAN MAP-REDUCE Bayu Endru Subiyakto; Fawwaz Muzakkty; Alfi Muiz; Muhammad Faiz Fairuz
Jurnal Riset Multidisiplin Edukasi Vol. 3 No. 1 (2026): Jurnal Riset Multidisiplin Edukasi (Januari 2026)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v3i1.1596

Abstract

This study discusses a computational parallelization model that integrates the divide and conquer, pipeline processing, and map-reduce approaches as strategies to improve data processing efficiency and the performance of modern computing systems. The background of this study is based on the growing need to optimize increasingly complex computational processes, particularly in large-scale data processing scenarios and applications that require fast execution times. The literature review covers the fundamental concepts, functions, and main roles of each parallel algorithm in creating more efficient processing structures. The research method adopts a qualitative approach with descriptive analysis, focusing on the interpretation of literature, mapping of operational mechanisms, and comparative evaluation of the three parallelization models within the context of practical implementation. The results indicate that combining the three models can enhance scalability, reduce bottlenecks, and significantly accelerate computation time. This study confirms that the appropriate selection and integration of parallel strategies can effectively support the demands of modern computing in both distributed environments and multi-core architectures.
Co-Authors Alfi Muiz Farwah Assyifaurrohmah Fawwaz Muzakkty Irfan Fauzan Irvin Hafiz Ramdhani Muhammad Faiz Fairuuz Muhammad Faiz Fairuz