Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknik Elektro dan Komputer
Shinta Putri
Universitas Darwan Ali
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pemeringkatan Baju Terlaris Pada Toko Serba Murah 10 Sampai Dengan 40 Ribu Sampit Shinta Putri; Nurahman Nurahman
Jurnal Teknik Elektro dan Komputer Vol. 10 No. 3 (2021): Jurnal Teknik Elektro dan Komputer
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/jtek.v10i3.35644

Abstract

Abstract — The technology for making this shirt ranking decision support system is to help the Sampit 10/40 Sampit Cheap Convenience Store. In determining the clothes to be sold using a manual system, the shop owner makes the decision-making process faster and can be an accurate recommendation. The method used in this research is the waterfall method. The input required is the weighted value of the alternative of the clothes against the predetermined criteria. The value will be obtained from the rules of the simple additive weighting method. The results of this calculation are the output solutions in determining the clothes. The decision support system for determining the ranking of the best selling clothes sold by this cheap department store can help users in knowing precisely about the comparison of alternative clothing products being tested against determined criteria so that decisions can be made accurately, quickly and precisely.This system was implementation as a website. Key words—Rangking: waterfall: website Abstrak — Teknologi pembuatan Sistem Pendukung Keputusan Pemeringkatan baju ini adalah untuk membantu pihak Toko Serba Murah Sampit 10/40 Sampit. Dalam menentukan baju yang akan dijual dengan sistem yang secara manual maka pemilik toko sehingga proses pengambilan keputusan menjadi lebih cepat dan dapat menjadi rekomendasi yang akurat. Metode yang digunakan dalam penelitian ini adalah metode waterfall. Input yang dibutuhkan adalah bobot nilai dari alternatif dari baju terhadap kriteria yang sudah ditentukan. Nilai akan diperoleh dari aturan metode simple additive weighting. Hasil dari perhitungan ini merupakan output solusi dalam menentukan baju.Sistem pendukung keputusan penentuan pemeringkatan baju terlaris dijual oleh toko serba murah ini dapat membantu pengguna dalam hal mengetahui secara tepat tentang perbandingan alternatif produk baju yang diuji terhadap kriteria yang ditentukan sehingga dapat dilakukan pengambilan keputusan secara akurat cepat dan tepat.  Sistem ini telah diterapkan dalam suatu website. Kata kunci — Pemeringkatan; waterfall; website
Penggunaan Sistem Pendukung Keputusan Seleksi Atlet Silat Sekotawaringin Timur Menggunakan Metode Simple Additive Weighting Norman Norman; Rosida Rosida; Shinta Putri; Nurahman Nurahman
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 1 No. 2 (2020): Januari 2020
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v1i2.1978

Abstract

This study discusses a case that wants to be completed using the SAW (Simple Additive Weighting) method. Some people are often confused and confused, how to solve the problem of a case using methods that have been applied. Basically all the problems and all the cases that we want to solve or want to find the decision-making system are enough with some methods that we want to do. Here the method used is the SAW method, the SAW method is very easy to understand and to be used in various cases. One of the examples discussed here is the case of searching for a selection of silat athletes from East Sekotawaringin East from 1 to 100 people will be tested and judged from the determined alternatives, until in the end searching and finding which champion 1 of 100 people who get the best rank.
Co-Authors Norman Norman Nurahman Rosida Rosida