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

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SISTEM BERBASIS RISC & CISC PADA ORGANISASI DAN ARSITEKTUR KOMPUTER. Fawwaz Muzakkty; Muhammad Rizal Muttaqin; Ahmad Fauzul Mubbin
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.v3i6.3669

Abstract

GPS telah terbukti dapat digunakan di banyak industri lain dengan belajar dari teknologi baru yang menggunakan akses internet sebagai media pemantauan. Penggunaan sistem penentuan posisi global (GPS) memungkinkan pengumpulan data dan pelacakan kendaraan lebih tepat dan real-time. Berkat kemajuan teknologi, komputer—khususnya Raspberry Pi—kini dapat melakukan tugas-tugas manual sekali pun. Metode pengumpulan data meliputi wawancara, observasi, dan tinjauan literatur yang relevan; alat untuk desain termasuk program Fritzing, yang digunakan untuk merencanakan sistem dan membangun prototipe. Namun untuk saat ini, beberapa di antaranya—seperti inframerah, bluetooth, dan LAN nirkabel—hanya bersifat lokal (intranet). Berkat teknologi modern, model intranet telah digantikan oleh model berbasis Internet of Things (IoT) dan Internet Protocol (IP). Raspberry Pi, yang merupakan media GPS dan media pemantauan kendaraan, sangat penting untuk pembuatan alat ini. Pi harus dilengkapi dengan modul GPS untuk pemantauan sederhana. Kami berharap solusi ini memfasilitasi pemantauan kendaraan jarak jauh dan pelaporan real-time bagi pemilik kendaraan.
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) In Press
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 Ahmad Fauzul Mubbin Alfi Muiz Bayu Endru Subiyakto Muhammad Faiz Fairuz Muhammad Rizal Muttaqin