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…
Customer churn remains a major challenge in the e-commerce industry as it directly impacts revenue and long-term customer value. This study applies an interpretable machine learning approach to not only predict churn but also identify the key factors influencing it. The analysis uses a publicly available dataset containing customer behavior and transaction records, with data preparation steps i…
The rapid growth of digital wallet usage in Indonesia has raised concerns regarding user security and account protection. This study evaluates user sentiment related to the security features of the DANA digital wallet by applying Aspect Sentiment Classification (ASC), a subtask of Aspect-Based Sentiment Analysis (ABSA). A total of 4,846 security-related reviews were collected using keyword-base…
This study examines the use of the Convolutional Neural Network (CNN) algorithm for eye disease classification based on retinal images. The research methodology involves collecting a dataset from the Kaggle website, named eye_disease_classification, which includes four main categories: normal, cataract, diabetic retinopathy, and glaucoma, with a total of 4,233 images before augmentation. The da…
Indonesia’s film industry is rapidly expanding with diverse genres and new titles, creating a need for fast, data-driven mapping of audience sentiment. This study maps social media X users’ sentiment toward the film “Sore: Istri dari Masa Depan,” which carries an unconventional theme, while addressing limited manual labels on short and noise tweets. Support Vector Machine (SVM) is selec…
This study assesses the IT governance capability of the SIAP KOJA application at the Jambi City Department of Communication and Informatics (Diskominfo). SIAP KOJA was introduced to strengthen attendance discipline, transparency, and accountability through geofencing and biometric features. Using the COBIT 2019 framework, the assessment aligns IT processes with institutional objectives and focu…
WhatsApp Business is one of the platforms that provides direct, fast, and efficient business communication services. This research was conducted to evaluate user perceptions of WhatsApp Business thru an in-depth sentiment analysis and emotion classification approach applied to user reviews. The data used consisted of 3,000 reviews collected thru scraping techniques, which were then processed th…
The rapid growth of mobile banking in Indonesia underscores the need for secure and innovative digital financial services. However, studies that compare user experiences across multiple applications within the same bank remain limited. To address this research gap, we analyze BCA’s two primary applications, BCA Mobile and myBCA, which serve millions of users in Indonesia. Data collected from …
BYOND by BSI is the latest application developed from BSI Mobile by Bank Syariah Indonesia as part of its digital banking transformation. The quality of this application can be evaluated through user reviews on the Google Play Store; however, the large volume of reviews creates challenges in extracting meaningful information. This study applies an Aspect-Based Sentiment Analysis (ABSA) approach…
Traffic congestion in Palembang City is a frequent problem that impacts community activities and productivity. This study aims to analyze public perceptions of traffic congestion in Palembang City through sentiment analysis on Facebook social media using the Decision Tree Algorithm. Data were collected through web scraping techniques on public comments related to text data traffic over a 32-mon…
Dalam era digital yang semakin canggih, keterlibatan masyarakat di media sosial pemerintah menjadi sangat penting. Tingkat kepercayaan masyarakat terhadap pemerintah memengaruhi partisipasi mereka, di mana kepercayaan yang rendah dapat mengakibatkan penurunan partisipasi dan keengganan untuk menerima informasi dari pemerintah. Penelitian ini bertujuan untuk mengevaluasi faktor-faktor yang mempe…