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Journal : Jurnal Informatika Universitas Pamulang

Implementasi Metode Simple Multi Attribute Rating Technique pada Sistem Pendukung Keputusan Pemilihan Guru Berprestasi Hay's, Riyan Naufal; Muttaqin, Zaenal; Suhendar, Akip; Elisa, Dina
Jurnal Informatika Universitas Pamulang Vol 6, No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i4.12831

Abstract

Selection of Outstanding Teachers is an activity that is routinely carried out by the District Level at the end of each academic year. The manual system often causes difficulties for supervisors when the final assessment process is fast and precise and the selection is subjective, this happens because all criteria have not been given weight. With a good system, it can help facilitate the selection process for outstanding teachers. Therefore, a Decision Support System (SPK) is needed using the SMART (Simple Multi Attribute Rating Technique) method, which means multi-attribute optimization and accurate solutions to facilitate supervisors in processing teacher selection. achievers. This research was proposed to build a DSS capable of providing objective decision recommendations and able to increase the speed of the decision-making process. This research has succeeded in applying the SMART method for the selection of outstanding teachers at the Lebak Wangi sub-district, Serang district.
Penerapan Metode Preference Selection Index untuk Penerima Program Keluarga Harapan di Desa Gunungsari Kabupaten Pandeglang Hays, Riyan Naufal; Siswanto; Djaksana, Yan Mitha
Jurnal Informatika Universitas Pamulang Vol 10 No 2 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jiup.v10i2.49023

Abstract

The Program Keluarga Harapan (PKH) aims to alleviate poverty and improve access to education and healthcare for underprivileged families in Indonesia. In Gunungsari Village, Mandalawangi Subdistrict, Pandeglang Regency, where most residents are low-income farmers and breeders, PKH faces challenges in accurately identifying eligible recipients due to the limitations of manual selection, which is prone to subjectivity and human error. This study explores the application of the Preference Selection Index (PSI) method to improve the objectivity and accuracy of beneficiary targeting. From 973 households, five were selected as a representative sample for manual validation. Twelve socio-economic indicators were used to assess eligibility. The PSI method systematically calculates preference weights across multiple criteria, including income, employment, housing, assets, and infrastructure access, generating a ranking of the most eligible candidates. The highest score obtained was 3.188, identifying Family C as the top candidate. The method showed strong agreement with expert judgment, as evidenced by a Spearman Rank Correlation of 0.9. These findings suggest that PSI enhances the fairness and efficiency of the PKH selection process and supports its digital transformation. This study offers a replicable model for improving governance and targeting in rural social assistance programs.