ANALISIS DAN PERANCANGAN UI/UX E-KONVEKSI MENGGUNAKAN METODE PROTOTYPE (STUDI KASUS: BRAND LOKAL PROBOLINGGO GHAZLAN.CO)

Moh. Furqan, Sudriyanto Sudriyanto, M. Albab
{"title":"ANALISIS DAN PERANCANGAN UI/UX E-KONVEKSI MENGGUNAKAN METODE PROTOTYPE (STUDI KASUS: BRAND LOKAL PROBOLINGGO GHAZLAN.CO)","authors":"Moh. Furqan, Sudriyanto Sudriyanto, M. Albab","doi":"10.36564/njca.v7i2.271","DOIUrl":null,"url":null,"abstract":"Ghazlan.co is one of Probolinggo's local brands and MSMEs engaged in the convection of clothing-making services and selling their own products. In the promotion of their business, they still use pamphlets and convey them orally. The ordering service process is done conventionally by coming to the place and through social media. This is less effective because the business will be difficult to be widely known and result in an accumulation of orders for goods that have not been responded to, due to the large number of Customers. The purpose of this research is to produce a website-based E-convection UI/UX Prototype that can help Ghazlan convection businesses promote their business and make it easier for consumers to order goods. The method used in this research is a Prototype, with system design made using UML (Unified Modeling Language) and system Prototype design using Figma software. Then, at the evaluation stage, this Prototype uses usability testing which produces a score of 84.72% with grade B (Excellent) where this Prototype is feasible and acceptable","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NJCA (Nusantara Journal of Computers and Its Applications)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36564/njca.v7i2.271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Ghazlan.co is one of Probolinggo's local brands and MSMEs engaged in the convection of clothing-making services and selling their own products. In the promotion of their business, they still use pamphlets and convey them orally. The ordering service process is done conventionally by coming to the place and through social media. This is less effective because the business will be difficult to be widely known and result in an accumulation of orders for goods that have not been responded to, due to the large number of Customers. The purpose of this research is to produce a website-based E-convection UI/UX Prototype that can help Ghazlan convection businesses promote their business and make it easier for consumers to order goods. The method used in this research is a Prototype, with system design made using UML (Unified Modeling Language) and system Prototype design using Figma software. Then, at the evaluation stage, this Prototype uses usability testing which produces a score of 84.72% with grade B (Excellent) where this Prototype is feasible and acceptable
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于原型的分析和设计UI/UX e -对流方法。
Ghazlan。co是Probolinggo的本土品牌和中小微企业之一,从事服装制作服务的对流和销售自己的产品。在推广他们的业务时,他们仍然使用小册子并口头传达。订购服务流程是通过传统的方式来完成的,通过社交媒体。这是不太有效的,因为业务将很难被广泛了解,并导致由于大量客户而未得到响应的商品订单的积累。本研究的目的是制作一个基于网站的E-convection UI/UX Prototype,可以帮助Ghazlan对流企业促进他们的业务,并使消费者更容易订购商品。本研究采用的方法是Prototype,使用UML(统一建模语言)进行系统设计,使用Figma软件进行系统原型设计。然后,在评估阶段,该原型使用可用性测试,其得分为84.72%,等级为B(优秀),该原型是可行和可接受的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
PENGEMBANGAN APLIKASI MARKETPLACE IKAN DI KABUPATEN PROBOLINGGO BERBASIS FRONTEND BACKEND MENGGUNAKAN REACT JS PEMODELAN MONTE CARLO DALAM MERAMALKAN PARTISIPASI MAHASISWA DALAM PERKULIAHAN RANCANG BANGUN SISTEM MONITORING KESEHATAN DAN TRACKING PEKERJA KONTRUKSI MELALUI SAFETY VEST BERBASIS IOT ANALISIS PENERAPAN METODE SEARCH ENGINE OPTIMIZATION (SEO) ON PAGE DALAM OPTIMALISASI KONTEN WEBSITE BLOG (STUDI KASUS: RUMAHGINJAL.ID) IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK AND RECURRENT NEURAL NETWORK METHODS TO PREDICT THE AMOUNT OF SALT PRODUCTION
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1