Anofrizen Anofrizen
Fakultas Sains dan Teknologi Universitas Islam Negeri (UIN) Sultan Syarif Kasim Riau

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

KEPUASAN PENGGUNA MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL (TAM) PADA APLIKASI PEMESANAN TIKET BIOSKOP MOBILE TIX ID Aprillia, Dhea Dwi; Hamzah, Muhammad Luthfi; Syaifullah, Syaifullah; Anofrizen, Anofrizen
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 4 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/eb9xhw70

Abstract

Aplikasi TIX ID adalah salah satu aplikasi online yang dapat mempermudah pengguna dalam memesan tiket bioskop dimana saja dan kapan saja tanpa harus mengantri. Dapat dilihat dari penggunaan aplikasi TIX ID, terdapat permasalahan dialami oleh pengguna seperti, pembayaran yang gagal, lambat respon dari aplikasi dan lain sebagainya. Dari permasalahan tersebut, pihak pengembang pasti akan terus memperbaiki layanan mereka agar pengguna akan terus menggunakan aplikasi secara berkelanjutan. Penelitian ini bertujuan untuk mengetahui tingkat kepuasan pengguna aplikasi TIX ID menggunakan Metode Technology Acceptance Model (TAM) yang diperluas dengan empat Variabel tambahan: Perceived Value, Subjective Norms, Perceived Trust, dan Image. Data dikumpulkan dari 96 responden melalui kuesioner online yang disebarkan di berbagai platform media sosial. Hasil analisis menunjukkan bahwa memiliki keterkaitan yang positif terhadap kepuasan pengguna aplikasi dan variabel Perceived Usefulness dan Intention to Use memberikan pengaruh signifikan terhadap aplikasi.
Quality Evaluation of The SITASI Final Project System using Selected McCall Software Quality Factors Adillah, Suci Nur; Ahsyar, Tengku Khairil; Syaifullah, Syaifullah; Anofrizen, Anofrizen; Marsal, Arif
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30675

Abstract

The Final Project Information System (SITASI) was developed to support academic administration processes. However, performance and usability issues continue to hinder its effectiveness, particularly during peak usage. This study aims to evaluate the quality of SITASI using the McCall Software Quality Model by focusing on five relevant operational factors: correctness, reliability, efficiency, integrity, and usability. The research employed a descriptive quantitative approach by distributing a validated user perception questionnaire to 72 students with active experience using SITASI. The instrument was tested for validity and reliability, with data analyzed using descriptive statistical techniques to evaluate the quality of the SITASI system. The results show that usability scored the highest at 86%, followed by correctness at 67.6%, reliability at 64.2%, integrity at 50.8%, and efficiency at 43.5%. These findings reveal strong user interface performance but expose technical limitations in speed and data security. The study concludes that while SITASI performs well in terms of usability, it requires substantial improvements in system responsiveness and integrity features. The results offer a structured evaluation of software quality and provide practical recommendations for developers to optimize performance and strengthen data protection. This study contributes a replicable framework for evaluating academic information systems in higher education environments.
Evaluating User Experience of SITASI System using HEART Metrics and Importance-Performance Analysis (IPA) Harmaniola, Elsa; Ahsyar, Tengku Khairil; Syaifullah, Syaifullah; Anofrizen, Anofrizen; Marsal, Arif
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30691

Abstract

SITASI is a web-based system developed to help students manage references and citations for their final projects. Despite its importance, no comprehensive evaluation of the system’s user experience (UX) had been conducted. This study aims to evaluate the UX of SITASI used by students of the Information Systems Study Programme at UIN Suska Riau. Using a quantitative survey method, data were collected from 72 active students from the 2018-2021 cohorts through an online questionnaire. The evaluation was based on the five HEART Metrics dimensions: Happiness, Engagement, Adoption, Retention, and Task Success. Respondents were selected through random sampling using the Slovin formula. Data were analysed using SPSS version 30 for validity, reliability, and Importance-Performance Analysis (IPA). The HEART results indicated high usability levels across all dimensions, with Happiness and Retention scoring highest (73%) and Engagement lowest (70%). IPA showed an average suitability of 92%, with four indicators placed in Quadrant I, signifying urgent areas for improvement. These results serve as a foundation for actionable recommendations to enhance system satisfaction, improve performance, and develop a more user-centered and adaptive SITASI platform.
Analisis Sentimen Masyarakat Menggunakan Algoritma Long Short Term Memory (LSTM) Pada Ulasan Aplikasi Halodoc Yulianti, Nelvi; Afdal, M; Jazman, Muhammad; Megawati, Megawati; Anofrizen, Anofrizen
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.7243

Abstract

Halodoc is a digital healthcare platform that provides users with convenient access to medical services online. This study aims to analyze public sentiment toward the Halodoc application based on 1,416 user reviews collected during the period from July to September 2024. The reviews are categorized into three sentiment classes: positive, negative, and neutral, using the Long Short-Term Memory (LSTM) algorithm. Prior to classification, the Word2Vec technique is applied to transform the words in the reviews into numerical vector representations for processing by the model. The analysis revealed that a portion of the reviews expressed negative sentiments, mainly concerning delays in medication delivery and slow responses from customer service. Model performance evaluation shows that the implementation of the LSTM algorithm optimized with the Adam (Adaptive Moment Estimation) optimizer and a dropout rate of 0.2 achieved the highest accuracy of 89.40% and an F1-score of 88.63%. These results indicate that the model performs very well in classifying sentiments and can be used as a useful tool for understanding user satisfaction with the Halodoc application.