Journal of Computer Networks, Architecture and High Performance Computing
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Utilization of the Kutuh Village Tourism Website in Optimizing E-Tourism Based Tourism Village Promotion
Full text linkKutuh Village is one of the villages in the south of Bali Island. Kutuh Village has tourism potential for international and domestic visitors. To increase the number of visitors to Kutuh Village, more support is needed to promote tourism in Kutuh Village. One thing that can be developed is E-Tourism. This service can be provided via a website, easily accessed anywhere and anytime using digital tools. Therefore, it is necessary to design an e-tourism application as a web-based tourism promotion in the Kutuh Tourism Village. So that it can attract more visitors in line with the objectives of this research. This web-based application has 2 users, namely visitors and admin. Visitors can view information about tourist attractions and events on this application in Indonesian and English. Apart from that, visitors can provide rates and comments in the application. This application system uses PHP as a programming language. Using waterfall as a system development method, in collecting data using observation methods, literature studies and similar literature. The system design uses DFD (Data Flow Diagram), ERD (Entity Relationship Diagram), conceptual database, table structure and then implemented. The positive feedback from the 11 respondents from Kutuh Village, who rated the application with an average score of 90.59%, suggests a high level of acceptance and satisfaction among local users. With the existence of e-tourism, the Kutuh Tourism Village is expected to increase tourist visit
Diving Into Public Sentiments: SVM-Based Analysis of Water Service Opinions
Full text linkCustomer satisfaction is a crucial measure of a company's success, particularly for service-oriented businesses such as regional water utilities. In the case of PDAM Tirta Nauli Sibolga, key service aspects including pricing, water quality, water flow, and responsiveness to customer complaints significantly influence customer satisfaction. Despite ongoing efforts to provide quality services, challenges in areas such as water quality, quantity, and customer communication persist, leading to lower satisfaction levels among consumers. This study seeks to evaluate the implementation of regional regulations related to company management and clean water services, with a focus on improving service quality. Additionally, it applies the Support Vector Machine (SVM) algorithm to perform sentiment analysis of public opinions regarding the company's services. The analysis yielded an impressive accuracy of 98%, with precision, recall, and F1-score values consistently above 90%, indicating a high level of effectiveness in sentiment classification. By leveraging the results of this sentiment analysis, PDAM Tirta Nauli can gain valuable insights into the issues facing the community and implement targeted improvements. Ultimately, this research aims to provide a comprehensive evaluation of customer satisfaction and offer actionable recommendations to enhance service quality, ensuring better customer experiences and supporting the overall development of the region
Classification of Scholarships for Students in Schools Using the Naïve Bayes Method
Full text linkThis research addresses the challenge faced by educational institutions in selecting scholarship recipients by implementing the Naïve Bayes algorithm. The objective of this study is to simplify and improve the accuracy of the scholarship selection process at MTs As-Syarif Kuala Beringin, using data from 50 students. The background highlights the importance of scholarships in providing equal educational opportunities, particularly for students with financial challenges. The research method involves the use of Naïve Bayes to calculate the probability of eligibility based on academic performance, economic background, and student activity. The results show that seven students met the scholarship criteria, demonstrating the efficiency and objectivity of the algorithm. The practical implications include the development of a user-friendly application that facilitates data input, scholarship criteria determination, and clear evaluation results. This system enhances transparency and reliability in decision-making. In conclusion, the Naïve Bayes algorithm proves to be an effective and efficient tool for scholarship selection, enabling a more equitable opportunity for students. Further research could focus on integrating additional data points or comparing the algorithm's performance with other classification methods to enhance system reliability
MITIGATION OF MULTI TARGET DENIAL OF SERVICE (DOS) ATTACKS USING WAZUH ACTIVE RESPONSE
Full text linkThe increasing frequency of cyberattacks, particularly Denial of Service (DoS) attacks, poses significant challenges to the availability of online services. Multi-target DoS attacks exacerbate this issue by simultaneously targeting multiple systems, requiring robust and automated mitigation strategies. This study evaluates the effectiveness of Wazuh Active Response, an open-source Security Information and Event Management (SIEM) solution, in mitigating multi-target DoS attacks using the Slowloris technique. The methodology involved simulating multi-target DoS attacks using `slowhttptest` against multiple target servers and configuring Wazuh Active Response to automatically block malicious IP addresses upon detection. Key metrics measured included Success Rate, Response Time Detection, and Response Time Blocking. The results showed a Success Rate of 100% with Active Response enabled, an average Response Time Detection of 10.36 seconds, and an average Response Time Blocking of 50.36 seconds. This study confirms that Wazuh Active Response effectively mitigates multi-target DoS attacks, ensuring a high success rate in blocking malicious IP addresses and demonstrating the potential of automated threat detection and response mechanisms in enhancing network security against complex attack scenarios
Bank Customer Decision Prediction on Term Deposit Products Using Random Forest Algorithm on Bank Marketing Campaign Data
Full text linkThis study investigates the relationship between Variable A, Variable B, and Variable C through a series of statistical analyses, including descriptive statistics, ANOVA, correlation, and multiple regression. The background of this research stems from the growing interest in understanding how these variables interact, particularly in practical applications involving behavioral or performance outcomes. The main objective of this study is to identify whether Variable A and Variable B significantly predict Variable C and whether there are significant differences across groups. Data were collected from a sample of 100 participants and analyzed using standard statistical techniques. Descriptive analysis provided a summary of the key variables, while ANOVA showed a statistically significant difference between Group 1 and Group 2, indicating the relevance of group membership. Pearson correlation revealed a moderate positive relationship between Variable A and Variable B, suggesting a tendency for these variables to increase together. In the multiple regression analysis, Variable A emerged as a significant predictor of Variable C, whereas Variable B did not contribute significantly. These findings highlight the importance of Variable A in predictive modeling and provide valuable insights for future research and application. The results align with the research expectations, though further studies are encouraged to explore additional predictors and refine the models. This study contributes to a deeper understanding of the statistical and practical relationships among the investigated variables and offers a foundation for applied strategies in relevant fields
Evaluation of Cybersecurity Awareness and Training for Digital Branch Frontliners at Bank XYZ
Full text linkThe digital transformation in the banking sector has driven a shift in operations, including the establishment of digital branches that rely on information technology to deliver services to customers. However, the increased use of technology brings significant information security risks, particularly those stemming from human factors. This study aims to evaluate the level of cybersecurity awareness among frontliners at Bank XYZ’s digital branch using the ISO/IEC 27002:2022 framework and to develop training recommendations based on NIST SP 800-50. The research was conducted using both quantitative and qualitative methods, involving questionnaires and observations of 36 frontliners. The evaluation results revealed that several controls, particularly Response to Information Security Incidents (ID 5.26), still showed low levels of understanding (60%), indicating the need for training intervention. Training recommendations were designed based on the Cybersecurity and Privacy Learning Program (CPLP) principles from NIST SP 800-50, which include visual approaches, role-based training, and digital learning media. The implementation of these recommendations for one of the controls showed a significant improvement in post-test scores (average >= 93), exceeding the 85% threshold. This indicates that the CPLP-based approach is effective in enhancing frontliners’ cybersecurity awareness. This research is expected to serve as a reference for other banks in developing adaptive information security training strategies aligned with international standards
AHP–SAW-Based Decision Support System for Culinary Tourism Restaurant Selection in Semarang City
Full text linkSemarang City boasts a diverse array of appealing culinary restaurants, yet both tourists and local residents frequently encounter difficulties in selecting dining establishments that best match their preferences, often diminishing their culinary tourism experience and leading to inefficient time usage. This research aims to develop a decision support model by implementing a combined approach of the Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) to streamline the restaurant selection process. AHP was selected for its capability to establish hierarchical criteria weights, while SAW offers an efficient method for ranking alternatives. The initial phase utilized AHP to determine the weights of six identified relevant primary criteria: Cleanliness, Location, Price, Ambiance, Taste, and Rating. Assessments for each of these criteria were gathered through surveys administered to 30 culinary enthusiasts in Semarang City. Subsequently, the second phase employed SAW to calculate the final scores for 10 culinary tourism restaurants in Semarang, evaluated through questionnaires by 10 different respondents. The calculation results placed Folkcafe at ALVA in the first rank (with a score of 0.8656), followed by Ikan Bakar Cianjur in the second rank (score of 0.8524), and Pelangi Cheese Chiffon Cake in the third rank (score of 0.8173). These findings unequivocally demonstrate the effectiveness of applying AHP and SAW for prioritizing culinary restaurants in Semarang, further supported by the valid consistency of the AHP criteria weights (CR = 0.0341). This study contributes to the DSS literature by combining AHP and SAW in the underexplored context of culinary tourism ranking. This model is expected to serve as a practical guide for visitors and a foundational basis for the development of digital recommendation systems within the culinary tourism sector
Design and Development of a Web-Based E-Learning System at SMA Tri Dharma Palembang
No full textThe rapid advancement of information and communication technology has transformed learning practices globally, yet teaching activities at SMA Tri Dharma Palembang remain predominantly conventional and do not fully align with the requirements of the Merdeka Curriculum. This study was conducted to design and develop a web-based e-learning system that integrates learning material management, assignment submission, automated and manual assessments, discussion forums, and real-time student activity monitoring. The research applied a Research and Development (R&D) approach consisting of needs analysis, system design using Unified Modeling Language (UML), implementation with PHP, MySQL, and Bootstrap, and evaluation through black box testing and a Likert-scale user satisfaction survey. The system was tested by two teachers and ten students, and expert validation was conducted to assess the research instrument. Results show that all modules performed as expected during functional testing, and the user satisfaction survey yielded an overall score of 85.33%, categorized as very good. The findings were analyzed using the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the DeLone & McLean IS Success Model, confirming that system quality, ease of use, usefulness, and user satisfaction significantly influence e-learning adoption in secondary education. This study contributes theoretically by extending the application of established information systems success models in the Indonesian school context and practically by providing a digital platform that supports the implementation of the Merdeka Curriculum.
Keywords: activity monitoring; e-learning; Merdeka Curriculum; TAM; UTAU
Needs Analysis for Chatbot-Based Final Project Administration: A Qualitative Study at STT Terpadu Nurul Fikri
Full text linkThe administration of undergraduate theses involves multiple stakeholders, including final-year students, academic supervisors, heads and vice-heads of study programs, program staff, and BAAK staff. This process often faces various challenges such as delays in information delivery, errors in form filling, inconsistencies in document format, and numerous repetitive questions regarding procedures and requirements. This issue adds to the workload of administrative staff and has the potential to hinder the timely completion of students' final projects. This research aims to analyze the needs and challenges in final project administration and identify the potential use of chatbot technology as a technology-based solution. The approach used is descriptive qualitative thru interviews, observations, and document analysis involving final-year students, supervising lecturers, and administrative staff. The research results indicate that chatbots have the potential to improve administrative efficiency by providing quick and accurate access to procedural information, document templates, guides, schedules, and motivational support. Thus, chatbots can function as interactive assistants that reduce staff workload, minimize miscommunication, and support the successful completion of final projects at STT Terpadu. Nurul Fikri. The novelty of this research lies in its focus on the needs analysis stage before chatbot implementation, which is still rarely done in previous studies. This approach provides a more structured basis for designing contextual and effective chatbot-based administrative systems in higher education environments.
Mudik Assistance Application Using Android-Based Scrum Method
Full text linkHomecoming is an activity undertaken by nomads and migrant workers to return to their hometowns. In Indonesia, going home is synonymous with annual traditions starting from religious and national holidays such as Eid al-Fitr, Eid al-Adha, Christmas and New Year. However, going home is often accompanied by traffic jams and confusion, which can be a nuisance for travelers. Therefore, a possible solution to overcome this problem is to develop a mobile application to support homecoming. This research focuses on developing an Android-based homecoming assistance application using the Scrum methodology. The aim is to create technological solutions that make it easier for Indonesian people to return home every year. The development process is divided into sprints, and each sprint lasts two weeks. Each sprint includes planning, developing, and evaluating features such as real-time maps, traffic information, stop locations, and emergency response systems. The development team works closely with stakeholders to ensure that the application meets user needs. The research results show that the use of the Scrum methodology increases development efficiency and improves the quality of the final product. The resulting application prototype received a positive response in user testing. 90% of participants found the app useful when returning home. In conclusion, the development of homecoming assistance applications using the Scrum methodology has produced an effective and user-friendly solution to help travelers. This research opens up opportunities for further development and large-scale implementation in the future