This study integrates Aspect-Based Sentiment Analysis with Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) to determine priority development features in digital service applications in the telecommunications sector. A total of 10,000 MyIM3 user reviews were analyzed using Fine-Tuned IndoBert with 93% accuracy, then negative sentiment was mapped into several topics us…
This study aims to develop the EduSawit application as an Augmented Reality (AR)-based learning medium to support environmentally friendly oil palm cultivation education. The research method uses the Multimedia Development Life Cycle (MDLC), which includes the conceptualization, design, material collection, assembly, testing, and distribution stages. Functional testing was conducted using Black…
iPusnas is a digital library application with over 1.5 million users, but only received a rating of 2.0. This study conducted a sentiment analysis on 7,596 reviews obtained through web scraping using Google Play Scraper. The data was processed through case folding, data cleaning, tokenization, stopword removal, and stemming, then automatically labeled based on the rating. The dataset was divide…
Rapid technological changes in the Industry 5.0 era have made digital knowledge and skills more important. There are inconsistent results in previous studies. Based on the Knowledge-Based View (KBV) theory, this study analyzes how knowledge management and digital competence directly and indirectly affect employee performance through innovative work behavior. Data were obtained through a questio…
MEASURING THE READINESS TO ADOPT THE VILLAGE ASSET MANAGEMENT SYSTEM (SIPADES) INFORMATION TECHNOLOGY IN EAST OGAN KOMERING ULU REGENCY USING THE COMMUNITY READINESS MODEL By Nur Annisa Basulina 09031182227022 ABSTRACT Village asset management is an important aspect in improving the accuracy and transparency of village administration. To support this process, the Village Asset Management System…
The implementation of a Learning Management System (LMS) in schools is important to help improve teacher performance and to determine the level of teacher readiness before implementation begins. This study provides a sufficient basis for schools to plan the effective implementation of LMS. This study aims to determine the extent to which teachers at SDN 2 Betung are ready and accept the use of …
The escalation of cyber attack activities demands intensive network traffic monitoring by network administrators. However, conventional monitoring methods relying on text-based log analysis are often inefficient due to the difficulty in rapidly identifying attack patterns and origins. This study aims to design and build a cyber attack traffic visualization system by applying the Geo IPmethod. T…
The rapid growth of digital public services highlights the importance of applications with high usability to support effective user interaction. MyPertamina, a platform for fuel payments and subsidy services, has received various user complaints related to navigation clarity, registration procedures, and overall usage flow. This study aims to evaluate the user experience quality of the MyPertam…
The Gramedia Digital website, a digital reading service platform, has been identified as facing usability and visual clarity challenges that could potentially hinder efficiency and user experience. Therefore, this study combines two methods: Eye Tracking using RealEye.io and Usability Testing through Maze.co to evaluate the interface and user interactions comprehensively. The testing through Re…
Nickel mining in Raja Ampat has triggered significant public reaction, particularly on social media, due to its environmental and social impacts. However, public opinion on this issue has not been systematically analyzed. This study aims to examine public sentiment toward this issue using the Aspect-Based Sentiment Analysis (ABSA) approach with four classification algorithms, Support Vector Mac…
The implementation of the BRAVO application at the Traffic Directorate (Ditlantas) of the South Sumatra Regional Police still faces challenges such as network instability, third-party dependency, and technical disruptions, indicating weaknesses in IT governance. This study aims to assess the maturity level of IT governance using the COBIT 2019 and ITIL V4 frameworks. The research began with a d…
Smart farming applies Internet of Things (IoT) technology in modern agriculture to enhance efficiency and operational effectiveness. However, continuous operation of IoT devices often results in high energy consumption. This study aims to analyze and optimize energy usage of IoT devices using the Markov Chain model. Five key devices were monitored over four weeks: aerator, LED lamp, power head,…
The increasing use of digital banking applications has led to the need for a deeper understanding of user perceptions, especially through aspect-based sentiment analysis. This study aims to classify the sentiment of SeaBank app users by focusing on four main aspects: learnability, efficiency, technical issues or errors, and satisfaction. Review data totaling 1,971 comments were collected from t…
Automated monitoring of Personal Protective Equipment (PPE) is crucial for enhancing safety in high-risk environments like construction sites, yet selecting the optimal detection model requires careful evaluation of accuracy versus efficiency trade-offs. This study presents a comparative performance analysis across distinct object detection paradigms represented by YOLO (YOLOv8, YOLOv11n), Fast…
Bibit is a widely used digital investment application among Generation Z, offering mutual funds, stocks, and bonds through features such as Robo Advisor and Bibit Plus. As digital investment adoption grows, understanding the factors that influence Gen Z’s acceptance of Bibit becomes increasingly important. This study applies the Extending UTAUT2 model, which includes Performance Expectancy, E…
This study examines the application of COBIT 2019 in supporting IT governance at the Sriwijaya University Library, with a focus on risk management, information security, and security operations. The main problem identified is the gap between existing policy documentation and its technical implementation, including insufficient performance measurement. The study aims to evaluate the capability l…
Sentiment analysis on traffic congestion in Palembang City was carried out using Facebook comments that represent public opinions regarding daily traffic conditions. Data were obtained through web scraping, and after undergoing preprocessing stages—such as text cleaning, tokenization, stopwords removal, stemming, and normalization—a total of 2,505 cleaned entries were prepared and transform…
This research aims to measure the level of readiness for information technology (IT) adoption among the officials of Gelebak Dalam Village, Rambutan District, Banyuasin Regency, South Sumatra Province, using the Perceived Organizational E-Readiness (POER) method. This method consists of six main dimensions, namely Technological Resources, Organizational Resources, Human Resources, Governance an…
Sistem e-PPT Fakultas Ilmu Komputer Universitas Sriwijaya dikembangkan untuk mendukung layanan administrasi akademik daring, namun pengguna masih mengalami kendala seperti gangguan koneksi, antarmuka yang kurang ramah pengguna, dan keterlambatan pemrosesan surat. Penelitian ini bertujuan mengevaluasi keberhasilan sistem e-PPT menggunakan model DeLone dan McLean (2003) dengan pendekatan kuantita…
PT Bukit Asam Tbk (PTBA), a coal mining company under the auspices of a State-Owned Enterprise (BUMN), uses Information Technology to support its operational activities. PTBA has formed an Information Technology Work Unit (SATKER) tasked with supporting the transformation and development of the company's business. At the moment, companies face problems in incident reporting performance. Ineffec…
Disaster Recovery Center (DRC) is an essential solution for maintaining the continuity of information technology services during disruptions. This study analyzes the quality of DRC using Quality of Service (QoS) parameters, namely throughput, delay, jitter, and packet loss, with the Multivariate Analysis of Variance (MANOVA) method. Implementation was done with a hot standby topology and testin…
Perkembangan teknologi informasi dan komunikasi saat ini telah berkembang dengan pesat, hal tersebut mendorong pemerintah untuk menyediakan layanan berbasis digital, termasuk dalam pengelolaan data demografi kependudukan. Penelitian ini bertujuan untuk menerapkan metode Task-Centered System Design (TCSD) dalam merancang Sistem Informasi Data Demografi Kabupaten Muara Enim. Metode TCSD dipilih u…
The development of information technology has great potential to improve the effectiveness and productivity of the agricultural sector; however, its success largely depends on the readiness of its users, particularly farmers in rural areas. This study aims to measure the level of information technology adoption readiness among the farmers of Gelebak Dalam Village, Rambutan District, Banyuasin R…
The TeleOTIVA application is an artificial intelligence-based application developed by the ISys Research Group, a research group at Sriwijaya University, in collaboration with Mohammad Hoesin General Hospital to detect cervical cancer in female patients. However, after interviewing the ISys Research Group, it was found that this relatively new application has potential problems in terms of secu…
Penelitian ini menggunakan data jaringan internet dari Ookla Open Data (Speedtest Global Performance) yang mencakup tiga variabel utama, yaitu kecepatan unduh (download speed), kecepatan unggah (upload speed), dan latensi (latency). Tujuan penelitian ini adalah menganalisis kondisi dan performa jaringan internet seluler di 17 kabupaten/kota Provinsi Sumatera Selatan tahun 2025 serta memberikan …
The low rating of the BeOne HRIS application on the Google Play Store indicates user dissatisfaction that requires strategic evaluation through automated sentiment analysis. This study aims to compare the effectiveness of a transformer-based Deep Learning model, namely IndoBERT Fine-tuned, against a hybrid approach that combines IndoBERT as a feature extractor with a Support Vector Machine (SVM…
Generative Artificial Intelligence (GenAI) has developed rapidly with various applications that facilitate content production but raise concerns regarding ethics, privacy, and copyright. Public perception of this technology is crucial to understand as it influences social acceptance and the direction of policy development. This study aims to map public sentiment toward GenAI on the social media…
The digital era has established social media as an effective marketing tool for digital products. Nevertheless, there remains a research gap concerning how specific elements of Social Media Marketing Activities (SMMA) influence Digital Product Sales Efficiency (DPSE) on creator aggregator platforms like Lynk.id. This research, therefore, aims to test the influence of five SMMA dimensions namely…
TikTok has evolved into an arena for polarized public opinion, particularly concerning the cancellation of musician Hindia's concert due to issues of satanic symbolism. This study applies the IndoBERT P2 model for stance detection on 2,306 Indonesian comments collected from June 18 to July 20, 2025. Challenges involving noisy data and class imbalance were addressed using the Random Oversampling…
The ease of users in accessing an information system is greatly influenced by the interface layout. Based on previous studies, the Academic Information System of Sriwijaya University shows that the layout of several navigation menus is not well organized, and the website display on mobile devices remains too crowded." This research aims to utilize the Floating Action Button (FAB) design element…