Universitas Islam Kuantan Singingi: E-Journals
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Creation of Appsheet-Based Vendor Database System at Savoy Homann Hotel Purchasing Division
Get PDFThe tourism industry in Indonesia is experiencing rapid development. One of these industries is hospitality as a place for tourists to stay. In carrying out its operations, the hotel depends on vendors to meet the needs of goods and services. Therefore, the vendor selection stage needs to be done properly. An improper selection process can result in a mismatch between the goods received and the needs of the hotel. Based on these problems, this project was created with the aim of building an Appsheet-based vendor database system that contains complete information about vendor data and quality to support a better decision-making process. This project began with a needs analysis through interviews with Savoy Homann Hotel Purchasing. In addition, a literature study was conducted as a reference for designing solutions. Next, the system was developed and tested using the Blackbox Testing method and interviews. As a result, the system successfully fulfills all the company's needs, ranging from vendor data, product quality, to performance ratings. The test shows that the features run well and according to plan. In conclusion, this vendor database system effectively helps the Purchasing division in managing the procurement of goods and services more efficiently, structurally, and optimally.
 
Real-Time Face Attendance System Using CNN Mobilenet and MTCNN
Get PDFThis research presents the development of a real-time attendance system utilizing facial recognition, which incorporates three main components: the MobileNet Convolutional Neural Network (CNN) for classification, Multi-task Cascaded Convolutional Networks (MTCNN) for face detection, and Contrast Limited Adaptive Histogram Equalization (CLAHE) for image preprocessing. The model was trained on a curated subset of the Labeled Faces in the Wild (LFW) dataset, containing 20 categories with 50 images each, and evaluated using a locally captured dataset. Training was conducted on Google Colab using a pre-trained MobileNet model that was fine-tuned with 800 images, while 200 images were used for validation. System performance was assessed through several metrics, including accuracy, precision, recall, F1-score, and a confusion matrix. The model achieved a validation accuracy of 86% and an average F1-score of 0.85, reflecting high classification accuracy. To enhance usability, the system was implemented within a Python-based graphical user interface (GUI), which automates attendance tracking and records data directly into Excel spreadsheets. This study highlights the potential of integrating lightweight CNN architectures with effective preprocessing techniques and real-time GUI applications to create a reliable, efficient, and practical biometric attendance syste
Implementation of an Information System for Classroom Reservation at Esa Unggul University
No full textThe manual management of room reservations at Esa Unggul University has long faced various administrative challenges, including irregular scheduling, delays in the approval process, and limited access to real-time room availability information. These issues reduce the overall efficiency of academic and administrative services. To address these problems, this study aims to design and implement a web-based information system that facilitates a more structured, transparent, and efficient room reservation process.The system was developed using the CodeIgniter 4 framework for the backend, while Bootstrap 5 and custom CSS were utilized for the frontend interface. MySQL served as the database management system, and application security features were enhanced with session-based authentication, input validation, data encryption, CSRF protection, Honeypot, and CloudFlare integration. Testing was conducted using the gray box method to evaluate both code reliability and system functionality from the user’s perspective.The results indicate that the application effectively handles room reservation requests, minimizes scheduling conflicts, and supports administrative staff in centrally monitoring room usage. This research contributes significantly to the digital transformation of campus administration and may serve as a reference for developing similar systems in other higher education institutions
Developing a Web-Based Printing Transaction System Using The Prototype Method: A Case Study at Amanah Advertising
Get PDFDigital transformation is increasingly vital for micro, small, and medium enterprises (MSMEs), including those in the printing sector, to enhance their operational effectiveness. Prior to this study, Amanah Advertising managed its orders, transactions, and inventory manually, which frequently resulted in data recording errors and poor coordination. To address these challenges, this research developed a web-based transaction management information system using the Prototype method. The development process involved two iterative stages of user feedback to refine system functionality. Enhancements included the addition of key features, improvements to the user interface, and the implementation of discount management functionality. The system was developed using the CodeIgniter 4 framework to ensure better process integration and operational efficiency. Black-box testing validated that all system components functioned correctly. Furthermore, a User Acceptance Testing (UAT) evaluation using a Likert scale produced a feasibility score of 85.2%, categorized as “Very Good.” These findings indicate that the implemented system significantly improves operational efficiency, increases data accuracy, and successfully supports the digitalization efforts at Amanah Advertising
The The Use of the K-Means Algorithm in Analyzing E-Commerce Consumer Segmentation: A Case Study of the Online Retail Dataset (UK)
No full textThis study aims to analyze consumer segmentation on e-commerce platforms by employing the K-Means algorithm as the primary clustering method. Using the Online Retail (UK) dataset, which contains comprehensive transaction records from a UK-based online retail company, the research focuses on identifying behavioral patterns among consumers. Several key variables, including purchase frequency, total transaction value, and recency or visit time, are processed to create meaningful clusters that represent different types of consumer behavior. The K-Means algorithm is applied through a series of preprocessing steps, such as data cleaning, feature selection, and normalization to ensure accurate clustering results. Once the clusters are formed, each consumer group is analyzed to determine its characteristics, purchasing tendencies, and potential value to the business. The segmentation results provide valuable insights for businesses in developing targeted marketing strategies and personalized service offerings. By understanding the unique preferences and behaviors within each cluster, companies can optimize promotional efforts, improve customer retention, and enhance overall user experience. The findings indicate that data-driven segmentation using the K-Means algorithm is a highly effective approach for gaining deeper, actionable insights into consumer behavior, thereby supporting more strategic decision-making in the e-commerce environment.
 
Redesigning the UI/UX of the Performance Monitoring Website at Pegadaian Regional Office XII Surabaya Using the Lean UX Method
Get PDFThe performance monitoring website at Pegadaian Regional Office XII Surabaya played an important role in supporting evaluation activities; however, its suboptimal interface caused issues in usability, limited information access, and required manual coordination among staff. This study was conducted to redesign the user interface and user experience of the website in order to improve usability and user satisfaction. The research applied a practical approach using the Lean User Experience method, which emphasized iterative development through assumption formulation, prototyping, experimentation, and feedback analysis. The subjects of this study included staff from Business Analysis and Performance Evaluation, Distribution and Service Networks, as well as Marketing and Sales, who served as the primary users of the system. The initial design of the website received a System Usability Scale score of 43.5, which was categorized as unacceptable. After the redesign, the score significantly increased to 80, categorized as A-, indicating a very good level of usability. Furthermore, the results of the User Experience Questionnaire showed positive improvements in all dimensions, including attractiveness, clarity, efficiency, accuracy, stimulation, and novelty. This study concluded that the redesign successfully enhanced usability and user experience, making the system more effective in supporting performance monitoring and decision-making within Pegadaian
Implementation of Equivalence Partitioning and Boundary Value Analysis in Black Box Testing A Case Study on the Admin Website of PAUD KB Al Husna
Get PDFIn order to guarantee system functioning and quality, software testing is an essential stage in the Software Development Life Cycle (SDLC). This study implements black box testing using Equivalency Partitioning (EP) and Boundary Value Analysis (BVA) on the Admin Website PAUD KB Al Husna to identify functional defects, focusing on input validation and error handling. In this study, 82 test scenarios were created for five functional modules (Class Management, Teacher Management, FAQ, Schedule, Gallery) and three non-functional factors (Security, Compatibility, and Responsiveness). Test execution was conducted manually based on BVA test cases (Min-1, Min, Max, Max+1) and EP cases (valid and invalid classes). Results showed a 32.9% failure rate (27 of 82 scenarios). Critical findings include: (1) Systemic failure in upper-boundary validation (BVA Max+1) with 256-character inputs; (2) EP-Invalid validation failures revealing Cross-Site Scripting (XSS) vulnerabilities from HTML input; and (3) Absence of brute-force protection on login pages. The study concludes that BVA and EP techniques effectively identify critical data validation and security defects, providing essential improvement recommendations for developers
Integrated Integrated Decision Support System for Student Academic Activities Using a Combination of AHP and SMART Methods
No full textDigital transformation in the world of education requires educational institutions to have an objective and integrated decision-making system. However, the results of observations at SMKN 13 Medan showed that there are still problems in the form of data fragmentation between departments which causes the process of determining outstanding students and selecting new students' majors to be inefficient and prone to subjectivity. This study aims to develop an integrated web-based Decision Support System (DSS) using a combination of the Analytic Hierarchy Process (AHP) and Simple Multi-Attribute Rating Technique (SMART) methods to improve accuracy and fairness in the academic decision-making process. The system development method used is Waterfall, with stages of analysis, design, implementation, testing, application, and maintenance. The results of quantitative calculations show that in determining outstanding students, student Amira obtained the highest score of 95.79, while in selecting majors, student Aulia Fatimah Al Zahra obtained the highest score of 86.11 and was recommended to the Computer and Network Engineering (TKJ) department. The system testing results show that the AHP-SMART combination successfully provides accurate and consistent results with a weighting consistency level of CR = 0.08 for achievement and CR = 0.06 for majors. It can be concluded that the developed system is able to integrate data across majors, improve assessment efficiency, and support transparent, objective, and data-based decision-making in the vocational school environment
Optimizing Oil Palm Seedling Growth (Elaeis guineensis Jacq.) in the main nursery using NPK fertilizer and Mycorrhizal Biofertilizer
Get PDFOil palm (Elaeis guineensis Jacq.) is a valuable plantation commodity with promising development prospects. This research investigated the interaction between NPK fertilizer application and mycorrhizal biofertilizer on the growth of oil palm seedlings in the main nursery on Ultisol soil. The study was conducted using a factorial Completely Randomized Design (CRD). The first factor was NPK fertilizer 16:16:16 (P) with three levels: P1 = 33 g per plant, P2 = 40 g per plant, and P3 = 47 g per plant. The second factor was Mycorrhizal biofertilizer (M) with three levels: M0 = Control, M1 = 20 g per plant, and M2 = 40 g per plant. The parameters measured included plant height, corm diameter, leaf area, root volume, dry weight of seedlings, and percentage of roots infected with mycorrhiza. Statistical analysis was performed using variance analysis and an honest significant difference test at the 5% level using the SAS application. The results indicated that applying NPK fertilizer at a dose of 40 g per plant significantly increased plant height, corm diameter, leaf area, root volume, and dry weight of seedlings. Urea fertilizer at a dose of 3 g per plant also positively influenced plant height, corm diameter, leaf area, and dry weight of seedlings. Mycorrhizal biofertilizer at a dose of 20 g per plant resulted in increased plant height, corm diameter, leaf area, root volume, dry weight of seedlings, and percentage of roots infected with mycorrhiza. The combination of NPK fertilizer at a dose of 40 g and mycorrhizal biofertilizer at a dose of 20 g per plant showed significant improvements in plant height, corm diameter, leaf area, root volume, dry weight of seedlings, and percentage of roots infected with mycorrhiza
Increasing Three Soybean Varieties’ Growth and Production by Soaking Using Paclobutrazol
Get PDFSoybeans represent an economically viable source of plant-based protein. This study aimed to assess the impact of paclobutrazol soaking on the growth and yield of three distinct soybean varieties. The investigation was conducted in Sampecita Village, located in the Kutalimbaru District of Deli Serdang Regency, North Sumatra, from January to May 2024. An experimental approach was employed, utilizing a factorial Randomized Block Design (RAK) that included two main treatments: soybean varieties (Dering 1, Dega 1, and Devon 1) and varying concentrations of paclobutrazol soaking (0 ppm, 25 ppm, 50 ppm, and 75 ppm), with each treatment replicated three times. The collected data were analyzed, followed by Duncan's Multiple Range Test (DMRT). The findings indicated that paclobutrazol soaking significantly influenced the growth and yield of soybean plants, particularly affecting plant height, the number of pods per plot, and the weight of 100 seeds. However, parameters such as root length, flowering age, number of productive branches, and number of pods per sample did not exhibit significant changes. The variety treatment had a notable effect on root length, number of productive branches, number of pods per sample, number of pods per plot, and weight of 100 seeds while flowering age and plant height remained unaffected. Notably, the 0 ppm concentration and the Devon 1 variety positively impacted the growth and yield of soybean plants