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All Journal Seruni - Seminar Riset Unggulan Nasional Inoformatika dan Komputer Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Jurnal Qua Teknika Jurnal Daya Mas : Media Komunikasi dan Informasi Hasil Pengabdian dan Pemberdayaan Masyarakat Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Ekonomi dan Teknik Informatika
Candra Budi Susila
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Journal : Jurnal Qua Teknika

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ANALISIS USER INTERFACE PADA WEBSITE STAINU PACITAN MENGGUNAKAN METODE EIGHT GOLDEN RULES Candra Budi Susila
Jurnal Qua Teknika Vol 10 No 1 (2020): Maret 2020
Publisher : Universitas Islam Balitar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.76 KB) | DOI: 10.35457/quateknika.v10i1.916

Abstract

Analysis of the user interface on the Pacitan STAINU website is a study that aims to analyze an interface on the Pacitan STAINU website. The STAINU website itself is one of the information media for lecturers and students to provide all information related to campus academic activities. The analysis used in this study uses the Eight Golden Rules or 8 golden rule principles developed by Ben Shneiderman in order to test whether the user interface on the web is in accordance with the wishes of the user. The results of the analysis found that the average recipes stated good. This is obtained based on the results of data analysis on each variable, namely for consistency variables with a value of 147.5, Shortcut Variables with a value of 161, Feedback Variables with a value of 160.5, Closure Dialogue Variable with a value of 166.5, Simple Error Handling Variables with a value of 161, Resersible Action Variables with values 157, Put User In Control variable with value 161, Reduce Variable Short Term
Co-Authors Arif - Diana Rendrarini Dwi Nor Amadi Erlina Idola Ganis Fatmawati, Laily Meifani, Nely Indra Muhammad Syifa'ul Aqhyar Nanang Junaedi Ramadian Agus Triyono - Universitas Surakarta Rendrarini, Diana Sukadi Sukadi Sukadi Susilo, Hendro Tomi Tristono Tomi Tristono