Penerapan Metode Simple Additive Weighting Pada Sistem Pemilihan PLP/Laboran Berprestasi Politeknik Negeri Bengkalis

The selection of outstanding PLP/Laboran at Politeknik Negeri Bengkalis is an effort to appreciate the contributions of educational staff in supporting academic and non-academic activities. However, the manual selection process faces challenges such as taking a long time and being inefficient. To simplify and improve the accuracy of the selection process, a web-based Decision Support System is needed to assist the committee and judges in selecting outstanding laborans. This system uses the Simple Additive Weighting (SAW) method with weights assigned to each criterion, namely education, self-description, and outstanding achievements. The implementation of the SAW method in this system results in ranking laborans, which helps determine the winner. Based on testing with five field data, the system shows an accuracy of 100%. The software development method used is the Rational Unified Process (RUP), which emphasizes step-by-step system development with a focus on user needs at each stage. The implementation of RUP shows that this system is easy to use, meets user needs, and helps the selection process run more smoothly.

Authors

Publication Details

Journal
Jurnal Teknik Informatika dan Teknologi Informasi
Published
2025-05-21
DOI
https://doi.org/10.55606/jutiti.v5i1.5132
Primary Topic
Decision Support System Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Penerapan Metode Simple Additive Weighting Pada Sistem Pemilihan PLP/Laboran Berprestasi Politeknik Negeri Bengkalis

Lilik Hidayati, Lidya Wati
Jurnal Teknik Informatika dan Teknologi Informasi
Decision Support System Applications
article

Penerapan Metode Simple Additive Weighting Pada Sistem Pemilihan PLP/Laboran Berprestasi Politeknik Negeri Bengkalis

Lilik Hidayati, Lidya Wati
article en

Abstract

The selection of outstanding PLP/Laboran at Politeknik Negeri Bengkalis is an effort to appreciate the contributions of educational staff in supporting academic and non-academic activities. However, the manual selection process faces challenges such as taking a long time and being inefficient. To simplify and improve the accuracy of the selection process, a web-based Decision Support System is needed to assist the committee and judges in selecting outstanding laborans. This system uses the Simple Additive Weighting (SAW) method with weights assigned to each criterion, namely education, self-description, and outstanding achievements. The implementation of the SAW method in this system results in ranking laborans, which helps determine the winner. Based on testing with five field data, the system shows an accuracy of 100%. The software development method used is the Rational Unified Process (RUP), which emphasizes step-by-step system development with a focus on user needs at each stage. The implementation of RUP shows that this system is easy to use, meets user needs, and helps the selection process run more smoothly.

Jurnal Teknik Informatika dan Teknologi InformasiVol. 5(1)
Decent work and economic growth
Openalex Percentile: Top 75%
Decision Support System Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Penerapan Metode Simple Additive Weighting Pada Sistem Pemilihan PLP/Laboran Berprestasi Politeknik Negeri Bengkalis — Lilik Hidayati, Lidya Wati · Jurnal Teknik Informatika dan Teknologi Informasi (2025) | TGRS Research Map | TGRS