This study aims to analyze the factors that influence public trust in the PPDB services of the Department of Education of South Sumatra Province through the utilization of government social media as a digital communication medium. The research employs the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method using SmartPLS 4. The findings indicate that two variables significantl…
This study aims to evaluate user acceptance of the Tokopedia e-commerce platform in Indonesia by applying the Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) framework combined with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis implemented in RStudio. Data were collected through an online questionnaire distributed through social networks, …
Indonesia’s rapid e-commerce growth has produced a vast volume of user reviews, yet their use for insight extraction remains limited—particularly for the Bukalapak platform. This study compares the performance of Naïve Bayes and Support Vector Machine for sentiment classification on 10,000 Bukalapak reviews. The workflow includes text preprocessing (cleaning, case folding, tokenization, st…
The rapid development of digital banking services has necessitated a deeper understanding of user perceptions and satisfaction levels. This study analyzes sentiment from user reviews of the Wondr by BNI app using a Knowledge Discovery approach and machine learning methods. Three classification algorithms were compared: Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Naive Bayes, eva…
Tomatoes are a horticultural commodity whose quality and nutritional content are strongly influenced by their ripeness level. In practice, tomatoes are often sorted manually based on ripeness, which leads to inconsistent results due to the limitations of human visual perception. This problem highlights the need for an objective and fast tomato ripeness classification system. This study aims to …
Public service applications such as SIGNAL facilitate the public in accessing information and making motor vehicle tax payments. However, the diversity of user reviews indicates the need to evaluate public perceptions through sentiment analysis. This study compares the performance of four classification algorithms Naïve Bayes, Random Forest, Decision Tree, and SVM in analyzing 36,000 user revi…
Technological developments and social media have changed the way public institutions communicate, including in building their image and encouraging public engagement. However, in practice, Bank Indonesia South Sumatra's digital communication tends to be one-way with low public interaction, so that the effectiveness of the communication strategy has not been optimally achieved. This condition ra…
Rice is a primary staple food in Indonesia, particularly in South Sumatra Province. In February 2024, BBC News Indonesia reported that the price of premium rice surged to Rp18,000 per kilogram, marking the highest price in the country’s history. To anticipate and predict similar spikes in the future, this study applies a Knowledge Discovery approach and compares three machine learning models:…
The socio-political context surrounding the Indonesian Ulema Council's Fatwa No. 83 of 2023, which catalyzed a significant consumer shift, necessitates an accurate measure of public sentiment toward alternative local brands like Almaz Fried Chicken. Analyzing real-time consumer discourse on the challenging TikTok platform, the study utilized a final dataset of 4,374 unique comments to overcome …
The use of social media by hospitals as a public communication platform presents challenges in understanding diverse public opinions expressed through online comments. RS Bunda Palembang utilizes Instagram to disseminate information and receive public feedback; however, the large volume of comments with varying sentiments makes it difficult for management to identify public perceptions accurate…
Knowledge is the result of learning experiences in the form of information whose accuracy can be trusted based on facts. Improving student performance requires good knowledge. In this case, it is supported by several aspects that can act as mediators to trigger individual attitudes in increasing awareness of sharing their knowledge. The theories underlying this research are Knowledge Based Theo…
This study aims to analyze the needs fulfillment of @rsbundapalembang Instagram followers using the Uses and Gratifications theory. This study measures the influence of usage motives (Gratification Sought) on the satisfaction obtained (Gratification Obtained) through a quantitative approach with a sample of 89 respondents analyzed using PLS-SEM. The results show that Gratification Sought has a …
This study investigates sentiment in user reviews of the Zalora Android application on Google Play using a hybrid approach that fine-tunes IndoBERT and integrates a TF-IDF Logistic Regression ensemble with inference-time adjustments. A corpus of 29,066 reviews was preprocessed and split with a stratified hold-out; class imbalance was handled on the training partition. The pipeline applies proba…
Digital transformation compels educational institutions to innovate by providing interactive promotional media to enhance student interest. This study aims to develop a virtual campus educational game for Universitas Sriwijaya Palembang on the Roblox platform as an immersive orientation medium. The development utilizes the Multimedia Development Life Cycle (MDLC) method, spanning six systematic…
Earthquakes belong to the category of natural disasters that are prone to occur on the island of Sumatera and pose a serious challenge because they can have a devastating impact on human life, such as loss of life, material losses, and environmental damage. Consequently, earthquake hazard zone mapping is needed to provide information about the potential and history of disasters and is an import…
Generative AI has provided real benefits in key sectors of the public sector. However, the rapid expansion of AI assistant services also raises concerns about whether newly released products can consistently meet user expectations, especially as negative experiences are increasingly expressed through public reviews. Its positive impacts encourage competitive rivalry among AI assistant product d…
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 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…
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…