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All Journal JUSIFO : Jurnal Sistem Informasi Sistemasi: Jurnal Sistem Informasi INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Sistem Informasi dan Aplikasi JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Scientific Journal of Informatics
Rahmawita, Medyantiwi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Analisis User Experience Website Digilib Menggunakan Metode Usability Testing Dan UEQ Syakirin, Fakhrusy; Fronita, Mona; Saputra, Eki; Rahmawita, Medyantiwi
Jurnal Inovtek Polbeng Seri Informatika Vol 8, No 2 (2023)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v8i2.3690

Abstract

Institut Az zuhra Pekanbaru merupakan lembaga yang bergerak di bidang pendidikan komputer. Saat ini yang banyak digunakan di perpustakaan adalah DIGILIB yaitu sistem informasi berbasis web khususnya di Institut Az zuhra Pekanbaru. Hasil survei menunjukkan bahwa masalah pertama mereka merasa tidak cukup puas dengan koleksi buku yang ada dan keakuratan informasi yang DIGILIB. Permasalahan kedua adalah data atau proses yang digunakan terkadang salah atau tidak dapat diandalkan pada saat mahasiswa mengakses pada perkuliahan. Penelitian ini menggunakan metode Usability Testing dan User Experience Questionnaire (UEQ). Tujuan penelitian ini adalah untuk mengetahui User Experience pada website DIGILIB. Dengan menggunakan metode Usability Testing Website DIGILIB di peroleh bahwa indikator Learnability memiliki penilaian tertinggi dengan nilai 3,38, peringkat kedua yaitu indikator Efficiency dan Errors. Efficiency dengan penilaian sebesar 3,33, Sedangkan Errors dengan penilaian sebesar 3,33, keempat yaitu Memorability dengan nilai sebesar 3,31, terakhir adalah Satisfaction dengan nilai 3,30, dan menggunakan metode UEQ Website DIGILIB Pada skala Attractiveness, Perspiculty, Efficiency, Stimulation, Depentability dan Novelty menunjukkan positif dengan nilai rata-rata di atas 0,683. Pada penelitian ini ditemukan bahwa pengalaman pengguna di situs web DIGILIB terlepas dari layanan yang ada, memberikan nilai positif atau baik.  Kata Kunci – Institut Az zuhra, DIGILIB, Usability Testing, User Experience Questionnaire(UEQ)
Analisa Marketplace Facebook terhadap Kepuasan Pengguna dengan menggunakan Metode E-Servqual Alfarizi, Farrelino; Rahmawita, Medyantiwi
Jurnal Inovtek Polbeng Seri Informatika Vol 9, No 1 (2024)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v9i1.3932

Abstract

Pada tahun 2016, fitur baru Marketplace diluncurkan di aplikasi Facebook. Sesuai namanya, ini adalah pasar online yang melayani berbagai transaksi jual beli penggunanya. Meskipun begitu, Marketplace Facebook masih belum menjadi pilihan utama oleh para pengguna yang ingin berbelanja online. Adapun latar belakang untuk penelitian ini yaitu ditemukannya beberapa permasalahan oleh pengguna Marketplace Facebook seperti ketika ingin mencari produk, beberapa produk tidak muncul. Lalu fitur yang ada di Marketplace Facebook dirasa masih kurang dibandingkan dengan E-Commerce lain, seperti tidak adanya fitur live, fitur keranjang, dan fitur tracking barang. Penelitian ini juga dirasa penting untuk mengukur kepuasan pengguna terhadap layanan yang  ada di Marketplace Facebook, dan juga agar mengetahui variabel yang dominan dalam mempengaruhi kepuasan pengguna. Data yang dikumpulkan melalui penyebaran kuesioner kepada sampel sebanyak 95 orang, dengan studi kasus dari penelitian ini yaitu Grup Lapak Online Perawang. Untuk pengolahan datanya dilakukan dengan menggunakan bantuan aplikasi SMART-PLS 4. Menurut hasil, didapat sebuah kesimpulan bahwa ada 5 variabel yang memiliki hubungan secara signifikan dan dianggap telah memenuhi harapan, yaitu Variabel Fulfillment, Contact, Privacy, Responsivness dan Efficiency. Sedangkan 2 Variabel lainnya yaitu Compensation, dan System Avaibility masih belum memenuhi harapan pengguna. Hal ini menunjukkan bahwa pengguna masih cukup puas dan menawarkan 2 rekomendasi perbaikan.
Perbandingan Metode TAM Dan UTAUT Dalam Penerimaan Dan Kepuasan Sistem Informasi Administrasi Akademik Nurrahma, Intan; Salisah, Febi Nur; Ahsyar, Tengku Khairil; Rahmawita, Medyantiwi
Jurnal Inovtek Polbeng Seri Informatika Vol 8, No 2 (2023)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v8i2.3768

Abstract

Universitas XYZ merupakan lembaga yang bergerak dalam bidang pendidikan. Saat ini banyak universitas yang menggunakan sistem informasi akademik untuk memudahkan pekerjaan agar menjadi lebih efektif dan efisien. Hasil survei menunjukkan bahwa adanya beberapa kendala pada sistem informasi administrasi akademik yaitu terjadinya error ataupun server down kondisi error ini seperti tidak bisa login ataupun tidak bisa mengakses fitur yang tersedia kendala berikutnya yaitu ketika mahasiswa ingin mengganti password mereka tidak bisa langsung mengubah di sistem tersebut tetapi harus ke sistem yang lain untuk mengubah password. Penelitian ini menggunanakan metode TAM Dan UTAUT. Tujuan penelitian ini yaitu untuk mengetahui metode mana yang lebih baik dalam penerimaan dan kepuasan penerapan sistem informasi. Hasil dari penelitian menunjukkan Metode UTAUT lebih mampu menjelaskan dengan baik dari pada metode TAM dalam membandingkan penerapan sistem informasi administrasi akademik dimana dengan menggunakan metode TAMdiperoleh nilai R-square pada TAM variabel IT Acceptance adalah 78,2% yang mana nilai ini termasuk kategori model yang kuat dan variabel User Satisfaction nilai R-square nya yaitu 65,3% dimana nilai tersebut masih termasuk dalam kategori kuat. sedangkan pada metode UTAUT R-square untuk variabel IT Acceptance yaitu 83,6% yang mana nilai ini termasuk kategori model yang kuat pada variabel User Satisfaction nilai R-square nya yaitu 74,6% dimana nilai tersebut termasuk kategori kuat.
Analysis of User Experience of the CapCut Application in Generation Z for Social Media Content Using the User Experience Questionnaire Method Wulan, Damar; Syaifullah; Saputra, Eki; Rahmawita, Medyantiwi; Marsal, Arif
Scientific Journal of Informatics Vol. 11 No. 3: August 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i3.7543

Abstract

Purpose: In the midst of these dynamics of change, research, development and application of technology continues to be the main focus in efforts to achieve progress and efficiency in various sectors of life. Generation Z has been the primary architect of cultural and behavioral change on social media. One of the most prominent characteristics of Generation Z is their desire to create "viral" content on social media. Content created using CapCut often uses interesting video and audio effects, such as progress effects, dry effects, music effects, and so on. This application has various features that make it easier for users to create video content, such as video effects, audio and animation. This shows that generation Z tends to use the CapCut application to create and edit video content that they share on social media. This research was conducted based on a phenomenon that has recently occurred, where many generations Z want to create content on social media using the CapCut application and also from several previous studies that have been conducted which are still lacking in understanding CapCup user satisfaction as a medium for creating content for Generation Z. and from several interviews the author conducted with CapCut application users. Method: This research uses the user experience questionnaire (UEQ) method with six (6) variables, namely attractiveness, efficiency, clarity, dependability, stimulation and novelty. Dr. Martin Schrepp developed a special tool that can be used to analyze UEQ questionnaire results, namely the UEQ Data Analysis Tool. The UEQ Data Analysis Tool is in the form of an Excel application which can be obtained by downloading it directly from the official https://www.ueq-online.org/ website This study employs a quantitative research strategy. This study does not know the exact number of the population to be studied. So, the sample size was calculated using the Lemeshow formula, a survey was conducted on 96 users of the Capcut application. Result: Based on the results of the discussion regarding user experience, specifically Generation Z, in the CapCut Application using the User Experience Questionnaire (UEQ) method, conclusions can be drawn from the 6 variables in the UEQ used, the 6 variables obtained positive evaluation values, namely the Attractiveness (mean 1.177), Perspicuity variables. (mean 1.109), Efficiency (mean 1.109), Dependability (mean 1.159), Stimulation (mean 1.151) and Novelty (mean 0.763) with the highest evaluation value on the Attractiveness variable. 2. Based on the benchmark results, the values obtained for the Attractiveness variable were 1.18, Perspicuity 1.11, Efficiency 1.11, Dependability 1.16, Stimulation 1.15, and Novelty 0.76. Each variable gets an Above Average value (above the average). However, there is still potential for improvement to achieve standards of perfection desired. Users provided invaluable feedback and suggestions, highlighting the need for improvement. Novelty: This research provides 2 recommendations based on the results of evaluations using UEQ, which are expected to help in improving and improving the quality of the CapCut Application in the future.
Comparative Analysis of Naïve Bayes Classifier and Support Vector Machine for Multilingual Sentiment Analysis: Insights from Genshin Impact User Reviews Aprinastya, Rachell; Jazman, Muhammad; Syaifullah, Syaifullah; Rahmawita, Medyantiwi; Siregar, Syafril; Saputra, Eki
JUSIFO : Jurnal Sistem Informasi Vol 10 No 2 (2024): JUSIFO (Jurnal Sistem Informasi) | December 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i2.24876

Abstract

This study evaluates the performance of Support Vector Machine (SVM) and Naïve Bayes Classifier (NBC) algorithms in analyzing user sentiments regarding the popular online game Genshin Impact. The dataset comprises reviews sourced from the Google Play Store and App Store in both Indonesian and English, reflecting linguistic diversity. Preprocessing techniques such as tokenization, stemming, and Term Frequency-Inverse Document Frequency (TF-IDF) were employed to enhance data quality. Sentiments were classified as positive, neutral, or negative using TextBlob-assisted processes. Results demonstrate that NBC outperformed SVM across all metrics, with an average accuracy of 71% compared to 63%. Notably, sentiment analysis on English datasets consistently achieved higher accuracy than on Indonesian datasets, emphasizing the challenges posed by the linguistic complexity of Indonesian. This research underscores the critical role of language-specific adaptations in improving machine learning algorithms for multilingual sentiment analysis. The findings provide actionable insights for optimizing user engagement through enhanced game feedback mechanisms.
User Satisfaction Analysis of MyTelkomsel Application using Importance-Performance Analysis (IPA) and End-User Computing Satisfaction (EUCS) Methods Maulana, Bima; Rahmawita, Medyantiwi; Syaifullah, Syaifullah; Jazman, Muhammad
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i1.4866

Abstract

This study was conducted to analyze user satisfaction with the MyTelkomsel application using the End-User Computing Satisfaction (EUCS) and Importance-Performance Analysis (IPA) methods. The EUCS approach was employed to evaluate user satisfaction based on five key dimensions: content, accuracy, format, ease of use, and timeliness. Meanwhile, the IPA method was applied to identify features that require improvement based on the levels of importance and performance perceived by users. A quantitative method was used in this study, involving data collection through questionnaires distributed to active MyTelkomsel users. The results of the study revealed several dimensions that significantly contribute to user satisfaction, as well as areas that require prioritized improvements to enhance the quality of the application. The researchers hope that the findings of this study will assist developers in improving the application's quality to boost user satisfaction and loyalty.
Evaluation of User Satisfaction on Taxsee Driver Application using User Experience Questionnaire (UEQ) Rianda, Rahmad Didho; Rahmawita, Medyantiwi; Syaifullah, Syaifullah; Jazman, Muhammad
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i1.4868

Abstract

Technological advancements have made daily life more convenient, particularly in the field of online transportation services. To stay competitive in an increasingly tight market, companies like Maxim must continuously innovate to improve service quality. Maxim offers two applications: Maxim for passengers and Taxsee Driver for drivers. The Taxsee Driver app facilitates drivers in finding passengers, managing trips, and streamlining payment processes. However, the app still faces several technical issues, such as bugs during peak hours, fake orders, and GPS inaccuracies, which impact drivers' experiences and earnings. This study aims to evaluate the Taxsee Driver app using the User Experience Questionnaire (UEQ) to identify its strengths and weaknesses from the drivers' perspective. Through this analysis, key aspects such as interface design, responsiveness, security, and navigation integration can be assessed objectively. The evaluation results are expected to provide valuable insights for developers to enhance service quality, improve driver satisfaction and loyalty, and strengthen Maxim's position in the online transportation industry.
Analisis Loyalitas Pelanggan Berdasarkan Model LRFM Menggunakan Metode K-Means Putri, Runi Aulia; Jazman, Muhammad; Syaifullah, Syaifullah; Rahmawita, Medyantiwi
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6565

Abstract

In the era of intense competition in the beauty industry, it is important for companies to understand customer behavior and identify loyal customer segments. Ths study aims to analyze customer loyalty at the Lanona Skincare Beauty clinic using the LRFM (Length, Recency, Frequency, Monetary) model with the K-Means Clustering method. Beauty clinics have not implemented CRM as part of theur business strategy. There is ineffective marketing strategies. Customer transaction data from April to October 2023 was collected and analyzed to determine customer value based on LRFM parameters. The analysis results show that K-Means is effetive in grouping cutomers until the best three clusters are obtained. Cluster 1 with a results of 0,620 is the most loyal customers, cluster 2 with a results of 0,100 is grouped into new inactive customers and cluster 3 with a results of 0,353 is high frequency customers but low revenue contribution. The proposed marketing strategies for each cluster include rewarding an improving communication to maintain customers loyalty. This research provides valuable insights for Lanona Skincare Beauty Clinic in creating a more focused and succesfull marketing plan to increase customer happiness and loyalty.
Analisis Sentimen Pada Ulasan Aplikasi Bank Syariah Indonesia Mobile Menggunakan Support Vector Machine dan Naïve Bayes Aqilla, Nabila Fadia; Jazman, Muhammad; Syaifullah, Syaifullah; Rahmawita, Medyantiwi
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6567

Abstract

The internet plays a crucial role in facilitating various human activities, including in the field of electronic banking services, which encompasses various financial services such as ATMs, internet banking, SMS banking, and mobile banking. All of these aim to enhance service quality with a focus on security, convenience, and effectiveness. BSI is one of the banks offering mobile banking services. Based on user reviews, the BSI Mobile app often experiences technical issues such as bugs and transaction failures. To assess the level of satisfaction with the app, the researcher uses sentiment analysis methods. This method also helps potential customers identify aspects that need improvement or development in the products and services to enhance their quality. The study employs Support Vector Machine (SVM) and Naïve Bayes algorithms. The test results show that the Naïve Bayes algorithm achieves an accuracy of 74.37%, recall of 74.37%, precision of 75.46%, and an F1-score of 74.5%. Meanwhile, the SVM algorithm achieves an accuracy of 77.39%, precision of 77.8%, recall of 77.39%, and an F1-score of 77.38%. These findings indicate that SVM performs better in sentiment classification tasks compared to Naïve Bayes. With its superior performance, SVM is the more suitable algorithm for analyzing user perceptions of the BSI Mobile app. Therefore, the findings of this study can contribute to the development of more innovative digital service strategies and enhance competitiveness in the digital era.
User Satisfaction Analysis of the Muslim Pro Application using PIECES Method anjani, sri; Megawati, Megawati; M.Afdal, M.Afdal; Rahmawita, Medyantiwi
Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i2.5077

Abstract

User satisfaction serves as a benchmark for applications and helps developers improve the quality of future applications. Muslim Pro is an application that provides various services for Muslims. This app is designed to assist Muslims in performing their religious duties more easily and systematically. Numerous negative user reviews about Muslim Pro indicate that user satisfaction regarding the company's performance is still low. The aim of this research is to determine the level of satisfaction with the Muslim Pro application based on user experience. To measure user satisfaction, this study employs the PIECES method, which consists of Performance, Information, Economic, Control, Efficiency, and Service. Data collection was conducted by distributing a questionnaire to 100 active students at UIN Suska Riau who use the Muslim Pro application. The results for each variable received the following average scores: the Performance variable scored 4.38, indicating satisfaction; the Information variable scored 4.27, indicating satisfaction; the Economic variable scored 4.26, indicating satisfaction; the Control variable scored 3.97, indicating satisfaction; the Efficiency variable scored 4.24, indicating satisfaction; and the Service variable scored 4.41, indicating satisfaction. Therefore, the overall average user satisfaction score is 4.25, which indicates a satisfactory level of service provided by Muslim Pro, categorizing it as "satisfied." This means that the Muslim Pro application plays a significant role in enhancing service quality, resulting in user satisfaction and positive feedback.
Co-Authors Ahsyar, Tengku Khairil Alam, Alji Ridwan Syah Alfarizi, Farrelino Amin, M. Nur Aprinastya, Rachell Aqilla, Nabila Fadia Arif Marsal Arsyad, Ilham Eki Saputra Fahril, Muhammad Febi Nur Salisah, Febi Nur Hamzah, M. Luthfi Harmutika, Della Husna, Nur Alfa Jazman, Muhammad M. Afdal M.Afdal, M.Afdal MAULANA, BIMA Megawati - Mona Fronita, Mona Mustakim Mustakim Nurrahma, Intan Oktoriani, Della Putri, Runi Aulia Rianda, Rahmad Didho Rice Novita Rita Novita Rozanda, Nesdi Evrilyan Setiawati, Elsa Siregar, Syafril Sri Anjani Syaifullah Syaifullah Syaifullah Syakirin, Fakhrusy Wulan, Damar Zarnelly Zarnelly Zarry, Cindy Kirana