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All Journal Format : Jurnal Imiah Teknik Informatika Academic Journal of Computer Science Research (AJCSR)
Suciaty, Nenda Putri
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Computer Science & IT Decision Sciences, Operations Research & Management Education

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Penerapan metode weighted aggregated sum product assesment (waspas) dalam sistem pendukung keputusan untuk menentukan penerima bantuan program indonesia pintar (PIP) (studi kasus : SMK Islam Terpadu Minnatul Huda Plered Purwakarta) Suciaty, Nenda Putri; Irmayanti, Dede; Alam, Syariful
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.007

Abstract

The Smart Indonesia Program (PIP) is an assistance program from the government for school-age children whose parents are less able to provide cash assistance as indicated by the existence of a Smart Indonesia Card (KIP). However, this program at Minnatul Huda Integrated Islamic Vocational School is still felt to be not on target in determining potential beneficiaries because it is not only from poor families who receive it and this causes injustice to students who meet the criteria for receiving PIP assistance. By making purchases using a decision support system, it is hoped that it will help reduce inaccuracies in selecting prospective beneficiaries. The Decision Support System in this study applies the Waterfall system development method and the appropriate Weighted Aggregated Sum Product Assessment (WASPAS) method to calculate the ranking of potential recipients of PIP assistance and uses the Rank Order Centrooid (ROC) method for weighting each rank according to its importance. This system uses UML (Unified Modeling Language) modeling, namely Use Case Diagrams, Use Case Scenario Diagrams, Activity Diagrams, Sequence Diagrams, and Class Diagrams, the programming language uses PHP, CodeIgniter Framework, and MySQL database. The features available in the system include the user can only see the final result data and print the final result, while the admin can manage criteria data, sub-criteria, alternatives, and assessments, and can view calculations and final results, the admin can also print the final results and manage user data and profile data. The results of the calculation process obtained alternative values that have the highest to lowest values as determinants of PIP assistance recipients. The research conducted resulted in the Agisna Billah Nurzaman Alternative as the Alternative with the highest score and the Iyah Saadah Alternative as the Alternative with the lowest score. Testing the system using black box testing.
Metode Weighted Aggregated Sum Product Assesment Pada Sistem Pendukung Keputusan Penerimaan Bantuan Program Indonesia Pintar (PIP) Suciaty, Nenda Putri; Irmayanti, Dede; Alam, Syariful
Academic Journal of Computer Science Research Vol 6, No 2 (2024): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v6i2.15516

Abstract

Program Indonesia Pintar (PIP) merupakan program bantuan tunai pemerintah yang menyasar anak usia sekolah yang orang tuanya tidak mampu, yang teridentifikasi dengan Kartu Indonesia Pintar (KIP). Namun program tersebut masih belum menyasar calon penerima bantuan sehingga menimbulkan kesenjangan bagi siswa yang memenuhi kriteria penerima bantuan PIP. Sistem pendukung keputusan dapat membantu dalam mengurangi ketidak tepatan saat memilih calon penerima bantuan. Sistem ini dibangun menggunakan metode pengembangan Waterfall dan metode WASPAS untuk menghitung peringkat calon penerima bantuan PIP serta menggunakan metode Rank Order Centrooid (ROC) untuk pembobotan pada setiap kriteria. Perancangan sistem menggunakan Unified Modeling Language (UML). Bahasa pemrograman menggunakan PHP, Framework CodeIgniter dan database MySQL. Sistem menyediakan fungsi pengelolaan data kriteria, subkriteria, alternatif, penilaian, pengelolaan data pengguna, data profil, serta memungkinkan tampilan perhitungan dan pencetakan hasil akhir. Hasil perhitungan sistem ini memberikan urutan pilihan alternatif penerima bantuan PIP, dari nilai tertinggi hingga terendah.
Co-Authors Dede Irmayanti Syariful Alam