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All Journal Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer Jurnal Teknologi Sistem Informasi
Albarqi, Achmadi Hudadin
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Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering

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Perbandingan Simple Additive Weighting dan Weighted Product Pada Penerimaan Bantuan Raskin Albarqi, Achmadi Hudadin; Rosman, Firdaus; Lestari, Sri; Fauzi, Chairani
Jurnal Teknologi Sistem Informasi Vol 5 No 1 (2024): Jurnal Teknologi Sistem Informasi
Publisher : Program Studi Sistem Informasi, Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jtsi.v5i1.6997

Abstract

In an effort to reduce the burden on family budgets, the government implemented the Poor Rice Program (Raskin), a social security program for the poor that offers subsidized rice assistance to low-income households. However, in practice, many households are categorized as poor even though they should not be. On the other hand, poor families should be involved, but are not included, and the process is still seen as less focused. Errors in data processing procedures can occur because Raskin recipients are still determined by human data processing. Data processing is time consuming, especially when it comes to ranking and decision making. In this regard, this research explores ways in which Decision Support Systems (DSS) can encourage faster and more precise decision making. Simple Additive Weighting (SAW) and Weighted Product (WP) are the two main methods covered. To increase the effectiveness and accuracy of government aid programs in Indonesia, the main objective of this research is to compare the use of SAW and WP techniques in making decisions regarding the receipt of Rice Miskin aid. The findings of this research support each other by referring to local residents with the pseudonyms W3, W12, W9 , W11, and W17 as recipients of rice assistance from regional governments who are inadequate in decision-making authority positions. Keywords: Decision Support System(DSS),Raskin, Simple Additive Weighting, Weighted Product.
Sistem Pendukung Keputusan Penerimaan Bantuan PKH di Kelurahan Tanjung Sari Swandika, I Komang; Albarqi, Achmadi Hudadin; Fauzi, Chairani; Lestari, Sri
Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi dan Sistem Komputer Vol 8 No 1 (2024): Jurnal Esensi Infokom : Jurnal esensi sistem informasi dan sistem komputer
Publisher : Lembaga Riset dan Pengabdian Masyarakat Institut Bisnis Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55886/infokom.v8i1.819

Abstract

Berdasarkan temuan berbagai penelitian, terdapat banyak kesalahan dalam distribusi statistik Program Keluarga Harapan (PKH) yang tidak akurat. Hal serupa juga ditunjukkan oleh hasil survei yang dilakukan di Kelurahan Tanjung Sari , Buay Pemaca, Kab. Ogan Komering Ulu Selatan . Hal ini menunjukkan bahwa masih banyak masyarakat yang masih mempunyai klaim atas uang tersebut namun tidak menerimanya. Terutama jika sejumlah calon peserta berada dalam kondisi miskin atau kurang beruntung dan tingkat kelayakan mereka hampir sama.Penelitian Penerimaan Program Keluarga Harapan (PKH) dengan Memanfaatkan Metodologi Simple Additive Weighting (SAW) dan Weighted Product (WP) pada Sistem Pendukung Keputusan (SPK) PKH di Kelurahan Tanjung Sari, Buay Pemaca .Hasil pada penelitian disini menunjukkan bahwa meskipun terdapat perbedaan di antara masing-masing pendekatan, seperti yang ditunjukkan oleh perbandingan hasil pemeringkatan pada Tabel 9, terdapat kesamaan antara hasil dari Peringkat 1–12 dan perbedaan antara hasil dari Peringkat 13–27.Penelitian menyimpulkan bahwa di Kelurahan Tanjung Sari , Buay Pemaca, , metode Weight Product (WP) dapat direkomendasikan sebagai metode sistem pendukung keputusan penerimaan bantuan PKH. Hasil yang ditampilkan dalam penelitian ini mempunyai rentang nilai yang sangat sempit, menandakan bahwa keakuratan data telah teruji.
Co-Authors Fauzi, Chairani Firdaus Rosman, Firdaus Sri Lestari Swandika, I Komang