PINTER : Jurnal Pendidikan Teknik Informatika dan Komputer
Vol. 10 No. 1 (2026): Jurnal PINTER

Analisis Perbandingan Kinerja Mekanisme Paging, Segmentation, dan Kombinasinya melalui Pendekatan Simulasi

Lita Dwi Setianingsih Dwi (Program Studi Teknik Komputer, Fakultas Teknik Elektro, Universitas Negeri Semarang, Jl. Raya Banaran, Kota Semarang, Jawa Tengah 50229, Indonesia)
Rifdah Mayhasna Nur Alayya (Program Studi Teknik Komputer, Fakultas Teknik Elektro, Universitas Negeri Semarang, Jl. Raya Banaran, Kota Semarang, Jawa Tengah 50229, Indonesia)
Djuniadi Djuniadi (Program Studi Teknik Komputer, Fakultas Teknik Elektro, Universitas Negeri Semarang, Jl. Raya Banaran, Kota Semarang, Jawa Tengah 50229, Indonesia)
Alfian Ardhiansyah (Program Studi Teknik Komputer, Fakultas Teknik Elektro, Universitas Negeri Semarang, Jl. Raya Banaran, Kota Semarang, Jawa Tengah 50229, Indonesia)



Article Info

Publish Date
30 Jun 2026

Abstract

systems that directly affects system performance and stability, especially in multitasking environments. Differences in memory management mechanisms can result in varying performance characteristics in terms of memory allocation, fragmentation, and system management overhead. This study aims to analyze and compare the performance of paging, segmentation, and the combination of paging-segmentation mechanisms thru a simulation approach. The method used is event-driven simulation on a multitasking operating system with a single processing unit (single CPU). Performance evaluation is conducted based on the success rate of process allocation, memory fragmentation, and page fault frequency as indicators of memory management overhead. Simulation results show that the paging mechanism can maintain a high success rate of process allocation across all system load scenarios, but with an increase in page fault frequency. The segmentation mechanism shows optimal performance under low load, but experiences a decrease in allocation success under high load due to external fragmentation. Meanwhile, the paging-segmentation combination mechanism provides the most stable performance with a consistent allocation success rate and more controlled memory fragmentation. The results of this study indicate that the combination mechanism is the most balanced approach for multitasking systems with dynamic workload variations.

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Journal Info

Abbrev

pinter

Publisher

Subject

Computer Science & IT Education Engineering Library & Information Science

Description

Bentuk publikasi hasil-hasil riset atau penelitian bidang Metode Pengajaran TIK, Ilmu Komputer, Sistem Informasi, Multi Media, Komputer Jaringan, Rekayasa Perangkat Lunak dan Teknologi ...