Universitas Islam Kuantan Singingi: E-Journals
Not a member yet
1863 research outputs found
Sort by
Defguard Implementation for Remote Access Management Using WireGuard VPN at PT. Esta Dana Ventura
Get PDFThis study examines the development and deployment of a remote access management system by integrating Defguard with the WireGuard VPN at PT. Esta Dana Ventura. The company previously faced unstable connections and inefficient user administration due to the limitations of its MikroTik-based PPTP and L2TP VPN solutions. To overcome these challenges, a new architecture was designed using WireGuard for its lightweight performance and Defguard for centralized and streamlined access control. The system was implemented within a Docker environment and evaluated using key performance indicators such as latency, throughput, packet loss, and connection stability across multiple internet service providers. The results demonstrated that the WireGuard-based configuration delivered lower latency, zero packet loss, and secure connections without DNS leakage, while token-based authentication significantly simplified user management. Overall, the new system enhanced connection reliability, improved security, and provided scalable remote access for geographically distributed users, making it an effective replacement for the legacy VPN infrastructure
Transfer Learning Implementation with MobileNetV2 for Cassava Leaf Disease Detection
Get PDFCassava (Manihot esculenta) is one of Indonesia’s key agricultural commodities but is vulnerable to various leaf diseases, such as Cassava Bacterial Blight (CBB) and Cassava Mosaic Disease (CMD). These diseases often exhibit similar visual symptoms, making it challenging for farmers to accurately identify them through manual observation. This study aims to develop an automatic cassava leaf disease detection system based on transfer learning, utilizing the MobileNetV2 architecture. The dataset used consists of 1,500 images, evenly distributed across three categories: CBB, CMD, and healthy leaves. The data underwent preprocessing, augmentation, and model training, including fine-tuning of the last 20 layers of the MobileNetV2 model. Evaluation results indicated that the model achieved an accuracy of 67% on the test set, with the highest performance in detecting Cassava Mosaic Disease, reflected by an F1-score of 0.75. These results demonstrate the potential of MobileNetV2 as a lightweight and efficient solution for detecting cassava leaf diseases, particularly when supported by a larger and more diverse dataset. This research serves as a foundation for developing mobile-based diagnostic tools to help farmers make faster and more accurate decisions in the field
Analysis Of Acceptance Factors Of Tiket Pendakian Application Using UTAUT
Get PDFThe popularity of mountain climbing has created a need for an efficient and user-friendly reservation system. However, in December 2024, the Tiket Pencakian application only received a rating of 3.9 on digital platforms, reflecting user dissatisfaction with the application's functionality and user experience. Complaints included unstable connections and login failures. The purpose of this study was to analyze the factors influencing user acceptance of the Tiket Pencakian application using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study applied a quantitative approach through an online questionnaire distribution, which successfully collected 390 respondents from various regions in Indonesia. After the data cleaning process, 371 valid data were analyzed using the Partial Least Square technique through SmartPLS 3 software. The research model includes nine hypotheses that measure the influence between factors on the intention and actual behavior of using the application. The results of the study proved that six hypotheses were significantly accepted, including Performance Expectancy, Social Influence, Hedonic Motivation, and Habit having a significant positive effect on Behavioral Intention, and Behavioral Intention and Habit having a positive and significant effect on ICT Usage Behavior. Meanwhile, Effort Expectancy and Facilitating Conditions on Behavioral Intention, as well as Facilitating Conditions on ICT Usage Behavior, did not have a significant effect. It can be concluded that perceived usefulness, social influence, enjoyment of use, habits, and intention to use are the main factors that shape user behavior in using the Tiket Pendakian application
Augmented Reality Application for Teaching the History of the Petilasan Damarwulan Cultural Heritage Site
Get PDFThis study aims to develop a historical learning media application utilizing augmented reality technology to introduce the cultural heritage site of Petilasan Damarwulan. The research addresses the declining reading interest among younger generations and the lack of interactive media in preserving local culture. A research and development (R&D) approach was employed, following ten stages from needs analysis to product evaluation. The application was built as a web-based platform to ensure compatibility with mobile devices, offering features such as image scanning, three-dimensional visualization, and narrative descriptions of the cultural site. Implementation results indicate that the application enhances users’ understanding of local history and culture. Functional testing using the black-box method confirmed that all features operated as intended. In conclusion, the application proves to be an effective tool for interactive learning and holds potential as a means of supporting digital cultural preservation within primary education environments.
Augmented Realit
Predicting Tablet Drug Expenditures Using Python-Based Facebook Prophet in Pharmaceutical Installations
Get PDFThe increasing complexity of pharmaceutical logistics requires accurate forecasting to ensure drug availability and minimize the risk of stock shortages. This study aims to develop a forecasting model to predict monthly tablet drug expenditure in the Pharmacy Department. The research stages include problem identification, data collection from historical drug expenditure records, data pre-processing, and implementation of the forecasting model. The method used is Facebook Prophet, which was chosen for its ability to capture seasonal patterns, trends, and holidays in time series data. Model performance evaluation was conducted using Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE). The results showed that the model produced an MAE of 3,621.25 and a MAPE of 4.93%, indicating that the prediction accuracy level was in the good category. These findings prove that the Prophet method is capable of providing reliable results in drug expenditure forecasting. The results of this study are expected to support decision-making in drug requirement planning and improve the efficiency of pharmaceutical logistics management
Sentiment Analysis of Marketplace Application Reviews Using Support Vector Machine (SVM) and K-Nearest Neighbors (KNN)
Get PDFShopee is one of the most popular online marketplaces in Indonesia, with more than 103 million users in 2023. Most users consider factors such as customer reviews, ratings, prices, and free shipping promotions before making a purchase. Analyzing user reviews is essential to understand consumer perceptions of services, identify satisfaction or dissatisfaction, and detect potential issues that need to be addressed. However, sentiment analysis faces challenges in processing text with diverse language styles, structures, and informal expressions. To overcome these challenges, this study applies machine learning algorithms—Support Vector Machine (SVM) and K-Nearest Neighbors (KNN)—for classifying sentiment in Shopee user reviews. Data labeling using the Lexicon InSet method produced 9,509 positive reviews (47.55%), 7,686 negative reviews (38.43%), and 2,805 neutral reviews (14.03%). Based on the Confusion Matrix results, SVM outperformed KNN, particularly in classifying negative and neutral sentiments with higher accuracy. These findings indicate that SVM is a more effective and efficient model for sentiment analysis of user reviews on the Shopee platform
Design and Construction of a Sales Information System Using the Reactjs and Expressjs Frameworks: case study of Fa_al.store
Get PDFFa_al.store is a micro, small, and medium enterprise (MSME) that sells socks both online and offline. In its operational activities, the process of recording transactions and managing stock is still done manually, so the business owner experiences difficulties in monitoring product availability, assessing sales performance, and preparing periodic reports. This research aims to design and build a web-based sales information system that can facilitate transaction recording, product stock management, customer data, promotions, and presenting sales reports systematically and structured. The development of this system applies the Waterfall method, which includes the stages of needs analysis, design, implementation, and testing. On the frontend side, the ReactJS framework is used to build an interactive user interface, while the backend is developed using ExpressJS to handle business logic and communication with the database. This system is also integrated with the Midtrans payment gateway to support a secure and efficient online payment process. The results of testing using the User Acceptance Testing (UAT) method show that the system has been able to meet the functional needs of users with an acceptance rate of 94.2%, which indicates that the developed system is feasible to use and can help business actors in carrying out business processes effectively
Designing a Village Letter Filing System as an Effort to Improve Administrative Efficiency in Suka Muda Village (Case Study in Suka Muda Village)
Get PDFIn the use of information technology, including the system of archiving incoming mails, outgoing letters are very important to support organizational development in terms of operational activities. This is because with the existence of an archiving system in an organization, it can speed up a work process and can make it easier to manage letters and make letters more organized and neat. The researcher sees that there are problems in the Sukamuda village letter filing system where at this time, the procedures applied to the management of incoming and outgoing letters in Sukamuda village, starting from receipt, storage, documentation, to letter verification, are all carried out conventionally. This research aims to make it easier to archive incoming and outgoing letters by developing a website-based archiving application . The research method used is the Development (R&D) method, observation data collection techniques and literature studies, the system development model used in this study is the Waterfall Model. Waterfall is one of the Software Development Life Cycles (SDLC) where software development activities start from specification, development, validation, and evolution and then divide it into phases and final testing using the Black Box method. With the implementation of this system, it is hoped that it can overcome problems in the application of letter archiving, especially at the letter stage in villages like to move
A Decision-Making Model for Kindergarten School Selection Using the AHP Method: A Case Study of West Bekasi
Get PDFChoosing a Kindergarten (TK) is an important decision for parents because it involves many aspects such as the quality of educators, curriculum, facilities, costs, and environmental safety. However, the complexity of these criteria often creates uncertainty in making objective decisions. This study applies the Analytical Hierarchy Process (AHP) method to help provide recommendations for selecting the best kindergarten in the West Bekasi area. The hierarchical structure is built with six main criteria assessed by respondents through pairwise comparisons using Expert Choice. The synthesis results show that Kindergarten C received the highest weight of 0.433, followed by other alternatives, thus being determined as the best choice based on the criteria used. A Consistency Ratio (CR) value of 0.1 indicates that respondents' assessments are within the consistent limit (CR ≤ 0.1). Thus, the AHP model is proven to be able to measure priorities in a structured manner and help parents in making decisions about choosing a kindergarten more objectively and rationally.
 
Analysis of LAN networks in a deep Pustu Gelebak Dalam using Cisco Packet Tracer
Get PDFRecently, the development of information and communication technology, especially computer networks, is now so rapid and has become one of the indicators of human progress. Along with these developments, users' needs for network access quality are increasing, both LAN (Local Area Network) based. The quality in question includes high data transmission speeds, stable connections, and a system that is able to support various activities without interruptions or problems that can reduce work productivity. With the existence of LAN networks, the use of information and communication technology can be an effective connecting medium. This research was carried out with the aim of helping to analyze and simulate the Local Area Network (LAN) network which is equipped with integration using the Cisco Packet Tracer application at the Gelebak Dalam Auxiliary Health Center. The presence of a LAN network will allow various processes and transactions to be carried out more efficiently, reduce potential problems, and improve the quality of services provided by institutions or organizations. This project is for that. This study will assess the condition of the LAN network at the Gelebak Dalam Auxiliary Health Center using Cisco Packet Tracer. It is anticipated that the LAN network in the health center can be optimized to be more efficient.