Prosiding Seminar Nasional Ilmu Teknik
Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik

Optimasi Software Effort Estimation Menggunakan Random Forest


Article Info

Publish Date
30 Dec 2025

Abstract

Software development effort estimation is crucial as it is one of the key factors for successful software development. This research employs Random Forest to estimate software development effort. To achieve better results, the study combines the Random Forest method with Genetic Algorithm. The results show that the China dataset provides more accurate estimation compared to the Desharnais dataset, because the China dataset uses relevant feature selection for estimation.

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Journal Info
Prosiding Seminar Nasional Ilmu Teknik
Website

Abbrev

PROSEMNASPROIT

Publisher

Asosiasi Riset Ilmu Teknik Indonesia

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering

Description

Prosiding Seminar Nasional Ilmu Teknik, Its a collection of papers or scientific articles that have been presented at the National Research Conference which is held regularly every two years by the Asosiasi Riset Ilmu Teknik Indonesia. The paper topics published in the Prosiding Seminar Nasional ...