Decision Support Systems for Determining the Best Santri at PPTQ Al Kaukab using Simple Additive Weighting Method

A Decision Support System (DSS) is a tool developed to aid in making decisions that are more accurate, efficient, and well-organized, particularly when assessing several options using multiple criteria. This research designed a Decision Support System (DSS) utilizing the Simple Additive Weighting (SAW) method to identify the top-performing santri at PPTQ Al Kaukab. The purpose of the system is to enhance educational quality by objectively selecting exceptional students for acknowledgment. The assessment was based on seven weighted criteria, including attitude, attendance, academic performance, and rule violations. Data were collected from seven selected santri, and each was scored and normalized before being processed using the SAW method. The final ranking showed that A3 (Muhda Lutfa Azizah) achieved the highest score of 0.803, followed by A1 (Unifah) with 0.791, and A5 (Tasa) with 0.686. These results indicate that the SAW method is effective in delivering accurate, fair, and transparent recommendations, making it a reliable approach for structured decision-making in pesantren environments.

Authors

Institutions

Publication Details

Journal
Nusantara Journal of Artificial Intelligence and Information Systems
Published
2025-06-02
DOI
https://doi.org/10.47776/nuai.v1i1.1590
Citations
1
Primary Topic
Edcuational Technology Systems
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decision Support Systems for Determining the Best Santri at PPTQ Al Kaukab using Simple Additive Weighting Method

Mohammad Reza Fahlevi, I Putu Deny Arthawan Sugih Prabowo, Hana Mufidianingsih
1 citations
Nusantara Journal of Artificial Intelligence and Information Systems
Edcuational Technology Systems
2.48
article

Decision Support Systems for Determining the Best Santri at PPTQ Al Kaukab using Simple Additive Weighting Method

Mohammad Reza Fahlevi, I Putu Deny Arthawan Sugih Prabowo, Hana Mufidianingsih
article en
1 citations

Abstract

A Decision Support System (DSS) is a tool developed to aid in making decisions that are more accurate, efficient, and well-organized, particularly when assessing several options using multiple criteria. This research designed a Decision Support System (DSS) utilizing the Simple Additive Weighting (SAW) method to identify the top-performing santri at PPTQ Al Kaukab. The purpose of the system is to enhance educational quality by objectively selecting exceptional students for acknowledgment. The assessment was based on seven weighted criteria, including attitude, attendance, academic performance, and rule violations. Data were collected from seven selected santri, and each was scored and normalized before being processed using the SAW method. The final ranking showed that A3 (Muhda Lutfa Azizah) achieved the highest score of 0.803, followed by A1 (Unifah) with 0.791, and A5 (Tasa) with 0.686. These results indicate that the SAW method is effective in delivering accurate, fair, and transparent recommendations, making it a reliable approach for structured decision-making in pesantren environments.

Nusantara Journal of Artificial Intelligence and Information SystemsVol. 1(1)
Universitas Nahdlatul Ulama Indonesia (ID), Institut Teknologi Kalimantan (ID)
Peace, Justice and strong institutions
Openalex Percentile: Top 10%
Edcuational Technology Systems
2.48
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.

Decision Support Systems for Determining the Best Santri at PPTQ Al Kaukab using Simple Additive Weighting Method — Mohammad Reza Fahlevi, I Putu Deny Arthawan Sugih Prabowo, et al. · Nusantara Journal of Artificial Intelligence and Information Systems (2025) | TGRS Research Map | TGRS