Journal of Data Analytics, Information, and Computer Science (JDAICS)
Vol. 3 No. 3 (2026): Juli

A COMPARATIVE ANALYSIS OF DDR4 AND DDR5 MEMORY ARCHITECTURE

Endita Layla Sulistiyowati (Universitas Ahmad Dahlan)
Aprillia Rahmasari Distiah (Universitas Ahmad Dahlan)
Nisa Ulin Ni'mah (Universitas Ahmad Dahlan)
Allifa Maulani (Universitas Ahmad Dahlan)
Aisyah Dwi Windarti (Universitas Ahmad Dahlan)
Noviara Zizi Amanda (Universitas Ahmad Dahlan)



Article Info

Publish Date
17 Jul 2026

Abstract

The development of modern software demands high data transfer rates from the main memory. However, increasing conventional RAM speed is often hindered by thermal law limitations, triggering circuit temperature spikes due to forced clock speeds. This study aims to analyze DDR5 memory data bus path structural modifications in overcoming these semiconductor circuit physical limitations. The method employed is a literature study with a qualitative-descriptive approach, utilizing secondary data from Google Scholar, Garuda, and technical specification documents. The study scope is strictly confined to internal micro-architectural modifications, excluding memory capacity and density scaling parameters. Results indicate that increased data transfer rates in the DDR5 generation are achieved by restructuring the single 64-bit data bus path into a dual 32-bit sub-channel system. This modification combines with doubling the Burst Length value to BL16 to transmit large data packets simultaneously without frequent processor interruptions. In conclusion, this internal architectural engineering provides an effective solution to accelerate data transmission and maintain temperature stability without forcing memory physical frequency limits. Theoretically, these findings shift the memory optimization paradigm from frequency scaling to structural path efficiency, foundational for future scalable hardware designs.

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Journal Info

Abbrev

jdaics

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Mathematics Other

Description

Journal of Data Analytics, Information, and Computer Science (JDAICS) is a national journal for scientific research Analytics, Artificial Intelligence, Bioinformatics, Big Data, Computational Linguistics, Cryptography & Information Security, Data Mining, Data Warehouse, E-Commerce / E-Health / ...