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All Journal (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
Anak Agung Istri Ngurah Eka Karyawati
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Evaluasi Desain UI pada Prototype Aplikasi Influencer Marketing Endorsfy dengan Metode SEQ Anak Agung Ngurah Mahadana Apta Gotra; Anak Agung Istri Ngurah Eka Karyawati
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 4 (2023): JNATIA Vol. 1, No. 4, Agustus 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v01.i04.p04

Abstract

The success of a digital product relies heavily on the inseparable relationship between User Interface (UI) and User Experience (UX). Although UI is a fundamental aspect of UX, it's imperative to acknowledge that the UI's design, functionality, and ease of use are pivotal factors that can make or break a digital product's success. A top-notch UI design can significantly enhance the UX, while a deficient and convoluted UI can lead to a less-than-stellar user experience. In this study, we undertake the task of evaluating the UI quality of "Endorsfy" – an Influencer Marketing Mobile Application. We employ the Single Ease Question (SEQ) method and the Maze tool to assess the UI quality and determine if it meets the standards for optimal usability. Additionally, this evaluation will consider the usability aspect of the application to ensure that it delivers a seamless user experience. Our ultimate objective is to guarantee that "Endorsfy" achieves the highest standards for UI quality and usability, providing users with unparalleled experience when using the application. 
Isolation Forest dengan Exploratory Data Analysis pada Anomaly Detection untuk Data Transaksi I Made Sudarsana Taksa Wibawa; Anak Agung Istri Ngurah Eka Karyawati
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v01.i03.p04

Abstract

Managing value of data is one of the key aspects of presenting analysis for decision making support in various cases. One of such method is by managing detecting anomaly in the data. This research focuses on implementing Isolation Forest result of anomaly detection. This method is used on transaction dataset from Kaggle with about more than 500.000 records. The result this research shows that Isolation Forest used in the dataset have 0.899 in accuracy, 0.00649 in precision, 0.504 in recall, and 0.013 in F1 score. 
Co-Authors Anak Agung Istri Dewi Lestari Anak Agung Ngurah Mahadana Apta Gotra Ari Putra, I Kadek Riski Chrisna Joshua Sergio Prasetyo Christirahma, Ratri Desy Cokorda Pramartha Cokorda Rai Adi Pramartha Eugenio Darrin Gede Dikka Widya Prana Gotra, Anak Agung Ngurah Mahadana Apta Gusti Ayu Vida Mastrika Giri Gusti Putu Aryo Widano Hidayat, Muhammad I Dewa Agung Adwitya Prawangsa I Gede Arta Wibawa I Gede Santi Astawa I Gede Widnyana I Gusti Agung Gede Ary Mahayasa I Gusti Agung Gede Arya Kadyanan I Gusti Bgs Darmika Putra I Gusti Gde Bagus Bhadrika Artawibawa I Gusti Ngurah Febri Ananda Krisna I Kadek Anom Sukawirasa Putra I Ketut Gede Suhartana I Made Agus Rama Wijaya I Made Sudarsana Taksa Wibawa I Made Treshnanda Mas I Wayan Supriana Ida Bagus Made Mahendra IDG Surya Baaskara Kadek Adi Priana Kadek Yoga Vidya Pradnyaditha Komang Ari Mogi Komang Wahyu Agastya Lie, Gary Melvin Luh Arida Ayu Rahning Putri Luh Gede Astuti Marissa Audina Muhamad Hidayat Ngurah Diputra Wiraguna, I Gusti Agung Ni Putu Dita Ari Pratiwi Ni Wayan Yulia Damayanti Pradnyaditha, Kadek Yoga Vidya Raharja, Made Agung Ratri Desy Christirahma Sudimahendra, Gede Wayan Farel Nickholas Sadewa Wayan Restama Yasa Yauw James Fang Dwiputra Harta Yuma Anugrah Virya Gunawan Zulfazazalia Putri Candra Wati