Suherwin, Muhammad Junaid

SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN PANGAN NON TUNAI MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING

Introduction

Sistem pendukung keputusan penerima bantuan pangan non tunai menggunakan metode simple additive weighting. SPK untuk penerima Bantuan Pangan Non Tunai menggunakan metode Simple Additive Weighting (SAW) meningkatkan akurasi, transparansi, & meminimalkan kesenjangan sosial dalam penyaluran.

Abstract

BNPT dimaksudkan pada upaya membangun sistem perlindungan (keberdayaan pangan) sosial kepada masyarakat miskin. Dengan hadirnya program ini, membantu masyarakatmiskin yang rawan pangan, agar mendapatkan bahan pangan untuk kebutuhanrumah tangga. Untuk merekomendasikan penerima bantuan sosial tentunya perlu dataterkait pendapatan harian atau pendapatan bulanan para calon penerima. Hal tersebut diperlukan untuk meminimalisir kurang tepatnya sasaran para penerima bantuan sosial dan mencegah terjadinya kesenjangan dan kecemburuan sosial. Dari berbagai metode yang ada dan dapat digunakan dalam sistem pendukung keputusan, pada penelitian ini akan menggunakan metode Simple Additive Weighting (SAW) dapat diartikan sebagai metode penjumlahan sederhana atau pembobotan sederhana dalam menyelesaikan masalah dari sebuah sistem pendukung keputusan. Dengan kata lain, metode ini akan mencari rating kinerja (skala prioritas) pada setiap alternatif di semua atribut. Untuk mengatasi tantangan ini, diperlukan perbaikan pada kriteria penerima manfaat, peningkatan transparansi dalam proses verifikasi, penguatan sosialisasi dan edukasi, serta peningkatan kapasitas petugas. Selain itu, pemanfaatan teknologi informasi, seperti yang diusulkan dalam pengembangan sistem pendukung keputusan (SPK) dengan metode Simple Additive Weighting (SAW), dapat menjadi solusi yang efektif untuk meningkatkan ketepatan sasaran dan efisiensi penyaluran bantuan.

Review

This paper addresses the critical issue of accurately identifying recipients for non-cash food aid (BNPT), a vital social protection program aimed at supporting poor and food-insecure communities. The authors correctly highlight the challenges associated with current aid distribution mechanisms, such as the misdirection of resources and the potential for social inequality, which can undermine the program's effectiveness. The initiative to leverage a Decision Support System (DSS) to streamline and improve this process is timely and highly relevant, offering a promising avenue to enhance the impact of social welfare efforts. The proposed solution involves the development of a Decision Support System utilizing the Simple Additive Weighting (SAW) method. The abstract effectively describes SAW as a straightforward multi-criteria decision-making technique that assesses the performance rating of each alternative across various attributes, which is suitable for ranking potential aid recipients based on defined criteria like daily or monthly income. This approach holds significant potential for introducing a more objective and systematic selection process, thereby minimizing human error and biases, and ensuring that aid reaches its intended beneficiaries with greater precision. The implementation of a SAW-based DSS, as outlined, is poised to significantly enhance the accuracy and efficiency of BNPT distribution. By formalizing recipient criteria and improving transparency in the verification process, the system can contribute to reducing social disparities and fostering greater community trust. While the abstract sufficiently introduces the methodology, a more detailed discussion on the specific criteria considered, their assigned weights, and the practical aspects of data collection and integration would further strengthen the paper. Overall, this research presents a valuable contribution to improving social aid programs through technology, offering a practical framework for more equitable and effective resource allocation.

Full Text

Comments

You need to be logged in to post a comment.