PERBANDINGAN METODE AHP, SAW DAN TOPSIS DALAM PENGEMBANGAN SISTEM INFORMASI BANTUAN SOSIAL DI DESA CINUNUK

David Basar, - (2023) PERBANDINGAN METODE AHP, SAW DAN TOPSIS DALAM PENGEMBANGAN SISTEM INFORMASI BANTUAN SOSIAL DI DESA CINUNUK. S1 thesis, Universitas Pendidikan Indonesia.

[img] Text
S_RPL_1908657_Title.pdf

Download (1MB)
[img] Text
S_RPL_1908657_Chapter 1.pdf

Download (83kB)
[img] Text
S_RPL_1908657_Chapter 2.pdf
Restricted to Staf Perpustakaan

Download (255kB)
[img] Text
S_RPL_1908657_Chapter 3.pdf

Download (113kB)
[img] Text
S_RPL_1908657_Chapter 4.pdf
Restricted to Staf Perpustakaan

Download (986kB)
[img] Text
S_RPL_1908657_Chapter 5.pdf

Download (75kB)
[img] Text
S_RPL_1908657_Appendix.pdf
Restricted to Staf Perpustakaan

Download (169kB)
Official URL: http://repository.upi.edu/

Abstract

Bantuan sosial Covid-19 merupakan bantuan yang diberikan oleh pemerintah untuk membantu keringanan ekonomi pada masyarakat di Indonesia, khususnya di Desa Cinunuk, Kabupaten Bandung. Bantuan sosial yang diluncurkan tersebut nyatanya belum sepenuhnya merata tersalurkan kepada orang yang menerimanya. Proses penentuan penerima bantuan sosial yang masih menggunakan cara manual yaitu dengan cara mengumpulkan berkas yang dibutuhkan, mengisi formulir yang disediakan sekaligus pihak desa yang masih melakukan perhitungan skor secara manual. Hal ini tentu memakan waktu yang banyak, memperlambat kinerja petugas sosial sekaligus dapat menimbulkan kesalahan dalam seleksi data. Dari permasalahan tersebut, dibutuhkan sebuah pengembangan sistem informasi penerima bantuan sosial berbasis website. Website tersebut dibangun menggunakan tiga metode yang berbeda, seperti metode Simple Additive Weighting (SAW), metode Analytic Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS). Tujuannya supaya dapat menganalisis perbandingan dalam mencari metode yang paling baik dalam menyeleksi data sesuai dengan kaidah eucledian distance. Setelah dianalisis dan dilakukan pengujian lebih lanjut terhadap website yang dibangun, peneliti menemukan bahwa metode AHP merupakan metode yang paling direkomendasikan diantara kedua metode yang lainnya karena metode tersebut menghasilkan nilai yang paling optimal dan sesuai dengan kaidah eucledian distance atau nilainya mendekati angka 0 yaitu sebesar 0.100, kemudian disusul dengan metode TOPSIS dengan nilai sebesar 0.518 dan metode SAW dengan nilai sebesar 0.570. -------- Covid-19 social assistance is assistance provided by the government to help economic relief for people in Indonesia, especially in Cinunuk Village, Bandung Regency. In fact, the social assistance launched has not been fully distributed among those who receive it. The process of determining recipients of social assistance still uses the manual method, namely by collecting the required files, filling out the forms provided and at the same time the village officials are still calculating scores manually. This of course takes a lot of time, slows down the performance of social workers and can lead to errors in data selection. From these problems, it is necessary to develop a website-based information system for recipients of social assistance. The website was built using three different methods, such as the Simple Additive Weighting (SAW) method, the Analytic Hierarchy Process (AHP) method and the Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS). The goal is to get analyze comparisons in finding the best method in selecting data according to the Eucledian distance rule. After analyzing and carrying out further tests on the website that was built, the researcher found that the AHP method was the most recommended method among the other two methods because this method produced the most optimal value and was in accordance with the Eucledian distance rule or the value is close to 0, which is equal to 0.100. then followed by the TOPSIS method with a value of 0.518 and the SAW method with a value of 0.570.

Item Type: Thesis (S1)
Additional Information: Link Google Scholar: https://scholar.google.com/citations?hl=id&authuser=1&user=oNvFKJQAAAAJ ID SINTA Dosen Pembimbing: DIAN ANGGRAINI : 6681986 HENDRIYANA : 6658557
Uncontrolled Keywords: Bantuan Sosial, Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS), Metode.
Subjects: N Fine Arts > N Visual arts (General) For photography, see TR
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Divisions: UPI Kampus cibiru > S1 Rekayasa Perangkaat Lunak
Depositing User: David Basar
Date Deposited: 21 Aug 2023 03:14
Last Modified: 21 Aug 2023 03:14
URI: http://repository.upi.edu/id/eprint/97130

Actions (login required)

View Item View Item