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The Effect of User Satisfaction (EUCS) on User Loyalty of Spotify among Surabaya Students
Pratama, Novan Putra
; Izzudin, Muhammad Andik
; Ilham, Ilham
; Pratama, Novan Putra
; Izzudin, Muhammad Andik
; Ilham, Ilham
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
The development of music streaming services such as Spotify has increased the need to understand the factors that influence user loyalty, particularly among university students who are highly engaged with digital platforms. Despite the rapid growth in music streaming adoption, research specifically examining the relationship between user satisfaction, measured using the End-User Computing Satisfaction (EUCS) model, and user loyalty among Surabaya university students remains limited. This study a...
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The Effect of User Satisfaction (EUCS) on User Loyalty of Spotify among Surabaya Students
Vol 5
, No 1
(2026)
The development of music streaming services such as Spotify has increased the need to understand the factors that influence user loyalty, particularly among university students who are highly engaged with digital platforms. Despite the rapid growth in music streaming adoption, research specifically examining the relationship between user satisfaction, measured using the End-User Computing Satisfaction (EUCS) model, and user loyalty among Surabaya university students remains limited. This study a...
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DOI
Pengaruh Harga, Konten Video Pendek di Tiktok, dan Konten Video Pendek di Instagram terhadap Keputusan Pembelian Konsumen dalam Transaksi Top up Diamond Mobile Legends: Bang Bang melalui Website Papipum.Com
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
This study aims to analyze the influence of price, short-form video content on TikTok, and short-form video content on Instagram on consumers’ purchasing decisions in Mobile Legends: Bang Bang diamond top-up transactions through the Papipum.com website. The independent variables in this study consist of price (X1), short-form video content on TikTok (X2), and short-form video content on Instagram (X3), while the dependent variable is the purchasing decision (Y). The research employs a quantitati...
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Implementation of Machine Learning for Credit Card Fraud Detection using Logistic Regression and Gradient Boosting
Dinamik
Vol 31
, No 1
(2026)
Credit card fraud is a critical issue in digital financial transactions. This study aims to develop and evaluate fraud detection models using Logistic Regression and Gradient Boosting on an imbalanced dataset, where fraudulent transactions constitute only a small portion of the data. To address this imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied during preprocessing. Logistic Regression, used as a baseline model, achieved 95% accuracy, 78.6% precision, 55.9% recall...
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Faktor-Faktor yang Mempengaruhi Siswa SMA Al-Kautsar dalam Penggunaan Media Pembelajaran Berbasis Metaverse
Dinamik
Vol 31
, No 1
(2026)
This study aims to investigate the factors influencing the continuance intention of Al-Kautsar Senior High School students in using metaverse-based learning media. The background of this research lies in the rapid adoption of immersive technologies in education, while students’ levels of acceptance have not yet been fully understood. The objective is to identify the antecedents of satisfaction, which subsequently influence continuous intention. The research model examines the effects of perceive...
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Tren Terkini dan Tantangan dalam Implementasi IoT untuk Layanan Kesehatan: A Systematic Literature Review
Dinamik
Vol 31
, No 1
(2026)
Since 2022, the application of the Internet of Things (IoT) in the healthcare sector has grown significantly, marked by the increasing adoption of wearable technology, artificial intelligence (AI), machine learning (ML), and blockchain integration. Research highlights India and China as leading contributors in this domain. IoT enables real-time monitoring of chronic diseases, tracking of patient vital signs, and detection of health protocol compliance. Integrated systems such as Monit4Healthy an...
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Sistem Informasi Penjualan dan Penyedia Layanan Informasi berbasis Web pada Toko CV Kia Jaya menggunakan Laravel
Dinamik
Vol 31
, No 1
(2026)
CV KIA is a shop engaged in the field of computer sales and services, coming directly to make transactions and provide computer service information services. So there are obstacles that are quite time consuming and transportation costs for customers to find out information on goods, stock of goods, and the process of purchasing goods because customers have to come directly to the store. Product information on CV Kia cannot be updated in real time so that there is a delay in calculating stock of...
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Perancangan Lampu Menggunakan Konsep Internet of Thing (IoT) Berbasis Microcontroller
Maharani, Chalista Dwi
; Jimmie, Jimmie
; Elsi, Zulhipni Reno Saputra
; Maharani, Chalista Dwi
; Jimmie, Jimmie
; Elsi, Zulhipni Reno Saputra
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2025)
The rapid advancement of the Internet of Things (IoT) has spurred the development of intelligent home systems that optimize energy use and enhance user convenience. One essential component of a smart home environment is an adaptive lighting system that can operate based on environmental conditions. This study aims to design and implement a microcontroller-based automatic lighting system that responds to variations in ambient light intensity and supports further integration with IoT-based monitor...
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Tinjauan Literatur Sistematis tentang Deteksi Anomali Berbasis Kecerdasan Buatan untuk Intrusi Jaringan pada IoT
Firmansyah, Mirza Putra
; Nashir, Muhammad Naufal
; Rahmeisi, Nazli
; Augusta, Putri Safira
; Arfriandi, Arief
; Firmansyah, Mirza Putra
; Nashir, Muhammad Naufal
; Rahmeisi, Nazli
; Augusta, Putri Safira
; Arfriandi, Arief
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2025)
Pertumbuhan eksponensial Internet of Things (IoT) menghasilkan tantangan keamanan jaringan yang signifikan, terutama intrusi jaringan, di mana metode deteksi tradisional gagal melawan serangan adaptif. Kajian ini menyajikan Systematic Literature Review (SLR) berpedoman PRISMA untuk memahami pemanfaatan Artificial Intelligence (AI) dalam deteksi anomali pada IoT. Tujuannya adalah mengidentifikasi algoritma AI yang dominan, mengevaluasi performa, dan menilai pertimbangan efisiensi energi dalam pen...
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Prediction of Unselling Menu Items for Bundling and Promotion Strategies in Cafés Using Decision Tree Algorithm
Karubun, Fheisyach Artianshal
; Kluman, Didaktus Baptista
; Febriansyah, Rahul
; Pali, Putra Emanuel
; Satia, Aldo Yunus Lazarus
; Sutejo, Heru
; Karubun, Fheisyach Artianshal
; Kluman, Didaktus Baptista
; Febriansyah, Rahul
; Pali, Putra Emanuel
; Satia, Aldo Yunus Lazarus
; Sutejo, Heru
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2025)
Industri café di Indonesia menghadapi tantangan dalam mengelola menu yang tidak laris, yang dapat menimbulkan kerugian akibat penumpukan bahan baku dan inefisiensi operasional. Penelitian ini bertujuan untuk memprediksi menu tidak laris menggunakan algoritma Decision Tree sebagai dasar penyusunan strategi bundling dan promosi yang efektif di café. Metode penelitian menggunakan pendekatan Knowledge Discovery in Database (KDD) yang mencakup tahapan seleksi data, pra-pemrosesan, transformasi, data...
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