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All Journal Jupiter Bulletin of Electrical Engineering and Informatics JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Informatika Jurnal Informatika Jurnas Nasional Teknologi dan Sistem Informasi ICON-CSE Annual Research Seminar Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) INTECOMS: Journal of Information Technology and Computer Science Jurnal ULTIMA InfoSys Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Riset Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) CCIT (Creative Communication and Innovative Technology) Journal Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Journal of Information Systems and Informatics Jurnal Tekinkom (Teknik Informasi dan Komputer) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Journal of Applied Science, Engineering, Technology, and Education Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Generic Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Algoritma Journal Of Artificial Intelligence And Software Engineering The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Dwi Rosa Indah
Universitas Sriwijaya
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Analysis of Factors Influencing Viu Application User Satisfaction using the End User Computing Satisfaction (EUCS) and DeLone & McLean Sabrina, Dea Fitri; Indah, Dwi Rosa; Firdaus, Mgs Afriyan; Gumay, Naretha Kawadha Pasema
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): 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.v13i6.4765

Abstract

One area of telecommunications technology that is also undergoing development in the context of entertainment is that of video streaming. Viu is a video streaming service that provides a range of premium content free of charge. Nevertheless, the Viu application continues to elicit a range of grievances, with the application’s rating remaining relatively low. It is of great importance to consider user satisfaction with an application. This research employs two methods, namely End User Computing Satisfaction (EUCS) and Delone & McLean, to ascertain the factors influencing user satisfaction with the Viu application. A sample of 244 respondents was obtained for the purposes of this research. The data obtained was analysed using the PLS-SEM technique with the Smart-PLS 4 tool. The final results obtained were that the variables of content, ease of use, timeliness, system quality, and finally information quality have a significant effect on user satisfaction.
Comparison of Naive Bayes and SVM Algorithms for Sentiment Analysis of PUBG Mobile on Google Play Store Sari, Putri Ratna; Indah, Dwi Rosa; Rasywir, Errissya; firdaus, Mgs Afriyan; Athalina, Ghita
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): 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.v13i6.4814

Abstract

PlayerUnknown's Battlegrounds (PUBG) Mobile is one of the most popular mobile games in Indonesia, according to data from the Google Play Store. According to the Google Play Store, the game has a rating of 3.8 with 49.5 million reviews. While a considerable number of users express satisfaction, a significant proportion of reviews also contain criticism regarding the gameplay and features. However, a cursory examination of reviews may not fully capture the nuances of user sentiment, necessitating a more comprehensive sentiment analysis. This research will employ a positive and negative sentiment analysis of Indonesian PUBG Mobile reviews on the Google Play Store, utilizing a comparative approach to evaluate the performance of two algorithms: Naïve Bayes and Support Vector Machine (SVM). The data set comprised 2,000 user reviews, which were collected using a scraping technique. Following this, a labeling process was conducted based on the rating, data were preprocessed, TF-IDF weighting was applied, and both algorithms were implemented. The findings indicated that users expressed satisfaction with the game's visuals and gameplay. However, there were also technical concerns that required attention, including bugs, server instability, lag, and performance issues. The SVM algorithm demonstrated superior performance, with an accuracy rate of 70.95%, compared to Naïve Bayes, which reached 69.83%. Despite Naïve Bayes's faster processing speed, SVM exhibited greater precision, recall, and F1-score
Information Technology Risk Management Using ISO 31000 Based on the ISSAF Penetration Testing Framework Firdaus, Mgs Afriyan; Perdianza, Muhammad Egi; Indah, Dwi Rosa
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/1tq72v53

Abstract

Information security is critical for higher education institutions, which manage large amounts of sensitive data in the digital age. Data breach incidents in Indonesia's academic sector reached 2,217 in 2021. A university website with 36 web-based information system services was found to have been defaced.  SQL injection and XSS attacks, which can lead to data breaches, system manipulation, and disruption of academic services, are also common. These attacks underscore the importance of strong security measures to protect data and preserve the reputation of education. This research assesses the security risk of the XYZ University website using the ISSAF and ISO 31000. ISSAF was applied in four stages: information gathering, network mapping, vulnerability identification, and penetration testing with customization for university web systems. ISO 31000 was used to assess risk severity, resulting in classifications of two high, six medium, and twelve low risks. Security recommendations were developed to address the key risks and can be applied to other universities facing similar threats. The findings provide great insight for educational institutions to strengthen their cybersecurity. Implementing appropriate measures not only improves privacy, but also builds trust and reputation. Proactive information security is becoming a critical asset for the sustainability and credibility of higher education institutions in this vulnerable digital age    
Perancangan Ulang Desain UI/UX Website Digilib Universitas Sriwijaya Menggunakan Metode Double Diamond Rahman, Fachri Auliya; Indah, Dwi Rosa
JURNAL FASILKOM Vol. 14 No. 1 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i1.6919

Abstract

System digitalization is an effort to improve quality to make it easier for users to manage the system digitally. Library digitalization aims to connect the interaction of the general public and information sources from the library without any interaction. Sriwijaya University State University facilitates student learning sequences in terms of submitting documents and searching for research and journals with Sriwijaya University's digital library called Digilib Unsri. However, based on an initial survey that was conducted with 30 respondents using the webuse method which was divided into 4 dimensions, namely (Content, Organization & Readability, Navigation & Links, User Interface Design, and Performance & Effectiveness), stated that the satisfaction points for using the website were only of 0.55 with the level of use being at a moderate level. This is caused by several reasons, such as unclear website usage guidelines, feature functions that are difficult to understand, unattractive design appearance, and a display that is less user friendly. To overcome this, the author redesigned the interface design on the Digilib Unsri website using the Double Diamond method which is divided into 4 stages, namely discover, define, develop, and delivery. website with points of 0.85 and is at the "excellent" usage level. From these results, it can be seen whether the new design of the Digilib website prototype is accepted by users. This research uses webuse to measure website interface design, it is recommended that further research use other usability testing methods as a measuring tool for interface planning.
Sentiment Analysis Aplikasi Mobile TIX ID di Playstore Menggunakan Algoritma Random Forest Ramadhini, Reffina; Sanjaya, M Rudi; Ruskan, Endang Lestari; Indah, Dwi Rosa
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7361

Abstract

TIX ID is one of the e-ticketing entertainment platforms for film orders that has experienced a rapid surge in Indonesia. The various features offered by the TIX ID application must of course be able to meet user expectations in order to compete in the market. The influence of reviews provided by users has a very important impact on the reputation of an application, whether it is positive reviews in the form of text and then processed into negative review information. Sentiment analysis is a study used in analyzing a review or perspective whose final result is in the form of positive or negative text information. The research that has been carried out using the Random Forest algorithm has succeeded in collecting review data of 2000 samples labeled positive and negative. Random Forest modeling in the study used the evaluation of the confusion matrix model and classification report which managed to achieve an accuracy of 87%, performance in the negative class showed high precision of 85%, negative recall rate of 92%, and f1-score of 88%. Then in the positf precision class reached 91%, recall was 83%, and f1-score was 87%. While the macro average and weighted average values for all metrics were 88%, indicating a balance of classification performance among the classes. Overall, the application of the Random Forest algorithm model provides accurate results and makes sentiment analysis a tool that helps developers understand user satisfaction and needs on the TIX ID application.
Penerapan Metode Design thinking Pada Pengembangan Knowledge Management System Pembelajaran SMA Damayanti, Indri Dwi; Firdaus, Afriyan; Indah, Dwi Rosa
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 3 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i3.6138

Abstract

High school learning requires teachers to carry out the teaching process using appropriate learning methods and materials based on expected competencies. At SMA IBA Palembang, knowledge and experiences possessed by the teacher are still stored in each teacher and have not been documented in a system. However, when a teacher retires, the knowledge and experiences of the teacher will also go away and be lost. Therefore a Knowledge Management System (KMS) to manage teacher knowledge needs to be developed. In order to improve KMS development results in terms of usability and user experience, user experience design with the Design Thinking Method is an option. In this paper KMS development with the Design Thinking Method is used to identify problems and existing user needs. This solution can produce good user interface and user experience based on user needs at SMA IBA Palembang. Before being implemented, the KMS has been tested using the System Usability Scale method with an average value of 81.43. It means that the system is accepted by prospective users. The KMS implementation was tested with 43 test items using the Blackbox Testing method. The result stated that the system could function to solve problems that occurred.
Penerapan artificial intelligence media desain website pembelajaran inovatif Sanjaya, M. Rudi; Ruskan, Endang Lestari; Indah, Dwi Rosa; Putra, Bayu Wijaya; Afif, Hasnan; Seprina, Iin; Faiq, Al Iksan; Wijayanto, Muhammad Ravi; Imran, Athallah Yasyfi; Danendra, Muhammad Archi Daffa; Rachmad, M. Ichsan Farel
Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Vol. 7 No. 1 (2026)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jp2m.v7i1.24377

Abstract

Program Kreativitas Mahasiswa (PKM) ini bertujuan untuk meningkatkan kompetensi digital guru melalui penerapan teknologi Artificial Intelligence (AI) dalam desain website sekolah dan pengembangan media pembelajaran inovatif di SMA Negeri 10 Palembang.  Kegiatan ini dilatarbelakangi oleh kebutuhan guru untuk beradaptasi dengan era pembelajaran digital yang menuntut keahlian, kreativitas, efisiensi, dan interaktivitas tinggi. Metode pengabdian kepada masyarakat menggunakan pendampingan, pelatihan, praktik, diskusi. Melalui pelatihan berbasis praktik, guru dibimbing menggunakan AI dalam pembuatan desain website sekolah yang dinamis serta pengembangan media pembelajaran interaktif seperti pembuatan media pembelajaran aplikasi Gamma, ChatGPT, Wix Studio, Web Flow.  Hasil kegiatan di ukur dan di evauasi menggunakan test pre test dan post test dimana hasil tersebut menunjukkan peningkatan kemampuan guru dalam mengintegrasikan teknologi AI (ChatGPT, Gamma, Wix Studio, Web Flow) pada proses pembelajaran inovatif, kreatif, kolaboratif, dan berorientasi teknologi di  SMA Negeri 10 Palembang. sekolah SMA N 10 Palembang . Program ini berkontribusi nyata dalam mendorong transformasi digital pendidikan serta memperkuat peran guru di SMA Negeri 10 Palembang sebagai inovator dalam lingkungan belajar yang modern dan adaptif yang berbasis teknologi digital.
Taxpayer Classification Using K-Means Clustering to Support CRM Strategy Development: Case Study of Prabumulih City Samsat Tammam, Bimmo Fathin; Ibrahim, Ali; Indah, Dwi Rosa; Oklilas, Ahmad Fali; Utama, Yadi
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1365

Abstract

Effective management of taxpayer data is crucial for enhancing compliance and optimizing regional revenue. This study addresses the limited use of data-driven taxpayer segmentation in local Samsat institutions by applying K-Means Clustering to support targeted Customer Relationship Management (CRM) strategies. A dataset of 3,999 motor vehicle taxpayer records from September 2025 was processed through feature selection, scaling, and clustering. The analysis identified three distinct taxpayer groups based on payment timeliness, compliance consistency, and vehicle age. Cluster validity was confirmed using the Davies-Bouldin Index, yielding a value of -41.327 for k = 3, supported by ANOVA for statistical significance. The findings highlight how clustering can reveal taxpayer behavior patterns, guiding personalized services and compliance programs. This study's novelty lies in integrating clustering outcomes with practical CRM strategies for public agencies, offering a data-driven approach to improve taxpayer engagement and regional revenue. However, the study is limited by its focus on a single-period dataset and vehicle-related attributes.
Analisis Perhatian Visual dan Usability Pada Tampilan Website Gramedia Digital Menggunakan Metode Eye tracking Tsabitah, Laila; Indah, Dwi Rosa; Firdaus, Mgs Afriyan; Lestari, Endang; Gumay, Naretha Kawadha Pasemah
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.3073

Abstract

The Gramedia Digital website, a digital reading service platform, has been identified as facing usability challenges and visual clarity issues that may hinder efficiency and user experience. Therefore, this study integrates two methods—Eye Tracking using RealEye.io and Usability Testing through Maze.co—to comprehensively evaluate the interface and user interactions. The evaluations conducted via RealEye.io and Maze.co involved five participants who were asked to complete three primary tasks: logging in, browsing book categories, and performing checkout. The results indicate that in Task 1 (Login), the visual focus of all participants was well-directed toward the input fields and action buttons. The usability test showed an average completion time of 15.1 seconds, a misclick rate of 16.7%, and a usability score of 97. In Task 2 (Browsing Book Categories), users’ visual attention was efficiently distributed from the navigation menu to the list of books, with a usability score of 91 and a low misclick rate. Conversely, Task 3 (Checkout) revealed significant challenges, as most participants struggled to locate the “Free Content” menu, resulting in a 67% misclick rate, 40% off-path behavior, and the lowest usability score (59). By combining Eye Tracking and Usability Testing, this study successfully provides a comprehensive overview of users’ visual attention patterns as well as the effectiveness and efficiency of their interactions with the interface.
Penerapan Metode Smart pada Sistem Pendukung Keputusan Pemilihan Ustadz Terbaik Rumah Tahfidz Al-Firdaus Rachmad, Muhammad Ichsan Farel; Sanjaya, M. Rudi; Wijaya Putra, Bayu; Indah, Dwi Rosa
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.3089

Abstract

This study aims to develop a decision support system for selecting the best ustadz by applying the SMART (Simple Multi Attribute Rating Technique) method at Rumah Tahfidz Al-Firdaus Banyuasin. The institution faces challenges due to the absence of a formal procedure for objectively and measurably identifying outstanding instructors. The SMART method is employed because it enables transparent decision-making through systematic calculations based on predefined weights and parameters. The research adopts the Waterfall development model, which includes requirement analysis, design, implementation, testing, and maintenance phases. The evaluation parameters include attendance level, frequency of lateness, professional behavior, teaching techniques, team collaboration, and guidance in memorizing the Qur’an. This study contributes to the development of decision support systems in tahfidz institutions by adapting the SMART method to assessment criteria specific to Qur’anic learning. The findings show that the application developed is capable of assisting management in objectively measuring and determining the best ustadz, while also simplifying the performance evaluation process. Black-box testing confirms that all system features operate in accordance with the initial design, and the SMART calculation output successfully generates an automatic ranking of the top instructors. The presence of this system makes the assessment process more efficient, accurate, and sustainable, thereby supporting the improvement of teaching quality in Qur’an-based educational institutions.
Co-Authors Afif, Hasnan Afriyan Firdaus Ahmad Fali Oklilas Akbari, Rahmat Alif Alghifari, M Yasir Ali Ibrahim Ali Ibrahim Alif, Rahmat Aliyah, Raden Ayu Alfirah Allsela Meiriza, Allsela Alvi Syahrini Utami Alvionita, Vinna Andhika Setiadi Anna Dwi Marjusalinah Annisa Khoiriah Apriansyah Putra Ari Wedhasmara Ariani, Ardina Ariansyah Saputra Arrijal Ismail, Ahmad Arwin Permata Putra Astriani, Yulia Athalina, Ghita Athalina, Githa Bayu Wijaya Putra Cherliana Choirunnisa Qonitah Corriny, Nety Damayanti, Indri Dwi Danendra, Muhammad Archi Daffa Danny Matthew Saputra dedi kurniawan Dedy Kurniawan Devi Indra Meytri Devi Karlina Dhilarofii Russandwi, Saras Dian Palupi Rini Endang Lestari Endang Lestari Ruskam Endang Lestari Ruskan Endang Lestari Ruskan Ermatita - Errissya Rasywir Faiq, Al Iksan Fatimah Azzahrah Fatinah, Fitriasari Felicia, Yohana Firdaus, Masagus Afriyan Firman Wijaya Fitri Wulandari Gumay, Naretha Kawadha Pasema Gumay, Naretha Kawadha Pasemah Haque, Miftahurrohmah Hardini Novianti Haristina Putri, Maulida Harlili Harlili Hasbiallah, Muhammad Jidan Huda Ubaya Huda Ubaya Imran, Athallah Yasyfi Indri Dwi Damayanti Izzatul Maula, Nurly Jaidan Jauhari Jayawarsa, A.A. Ketut Karlina, Devi Ken Dhita Tania Liana Andini, Rahmah Lufiah, Fara M HUSNI SYAHBANI, M HUSNI M. Rudi Sanjaya M. Rudi Sanjaya Mardilah, Riska Tri MARIA BINTANG Megah Mulya Merlin, Chalia Meylani Utari Mgs Afriyan Firdaus Mgs Afriyan Firdaus MGS. Afriayan Firdaus Mira Afrina Morgan, Jovanic Moses Rinaldy Muhammad Fandra Eka Pratama Muhammad Qurhanul Rizqie Muhammad Raihan Udda Rahmany Mutia Farahdilla Novitas Sari Nugroho, Doni Tri Nurfadillah, Nadya Oktadini, Nabila Rizky Pacu Putra Perdianza, Muhammad Egi Pratama, Muhammad Fandra Eka Purwita Sari Purwita Sari, Purwita Putra, Julian Putri Eka Sevtiyuni Putri Ratna Sari, Putri Ratna Putri, Indah Arsita Rachmad, M. Ichsan Farel Rachmad, Muhammad Ichsan Farel Rafliandi Ardana Rahma Ardhia Cahyani Rahma Destriani Rahma, Syabilla Mutia Rahman, Fachri Auliya Rahmat Alif Akbari Rahmat Izwan Heroza Rahmat Izwan Heroza Rahmayuni, Septa Ramadhini, Reffina Ricy Firnando Riski, M. Rido Rizka Dhini Rizka Dhini Kurnia Royan Dwi Saputra Rusdi Rivaldo Sabrina, Dea Fitri Samsuryadi Samsuryadi Sanjaya , M. Rudi Sanjaya, M Rudi Sanjaya, M. Rudi Saputra, Danny Matthew Saputra, Royan Dwi Saras Dhilarofii Russandwi Sartika, Widya Seprina, Iin Septamuyassar, Nawfal Siti Nurhanifah Syahbani, M. Husni Syahnel, Ahmad Hidayat Tammam, Bimmo Fathin Thuraya, Zafira Trimaysella, Anne Tsabitah, Laila Vinna Alvionita Wijaya Putra, Bayu Wijaya, Firman Wijayanto, Muhammad Ravi Winda Kurnia Sari Windy Indrianti Wiwik Handayani Yadi Utama Yadi Utama Yanto, Dimas Hadi Yudha Pratomo Yunita Yunita Zahirah, Nabilah