International Journal Software Engineering and Computer Science (IJSECS)最新文献

{"title":"The Management of Projects is Improved Through Enterprise Architecture on Project Management Application Systems","authors":"Djarot Hindarto","doi":"10.35870/ijsecs.v3i2.1512","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i2.1512","url":null,"abstract":"From planning to execution, effective project management necessitates a holistic approach that incorporates various aspects. Enterprise Architecture has emerged as a promising method for enhancing project management in the modern era of business complexity. This article examines how employing Enterprise Architecture principles in project management can yield significant benefits. Enterprise Architecture enables project managers to comprehend the interdependencies between the various organizational components by adopting an approach that views the organization as an integrated whole. This improves planning, identification of prospective risks, and more precise decision-making. In addition, Enterprise Architecture provides a holistic view of the technology infrastructure and enterprise architecture, allowing project managers to identify opportunities to optimize extant resources. Moreover, Enterprise Architecture can enhance collaboration between project teams and other departments. Comprehending the interrelationships between organizational components makes communication and problem-solving more efficient. Enterprise Architecture also contributes to designing more adaptable and scalable initiatives, allowing them to better adapt to changing environments. This article investigates actual case studies of organizations that have adopted an Enterprise Architecture approach to project management. As evidence that Enterprise Architecture can be an asset in attaining project objectives, several benefits will be outlined, ranging from cost reduction to increased efficiency. By combining established project management methodologies with Enterprise Architecture principles, professionals can adopt a more comprehensive and strategic approach to attaining successful project outcomes.","PeriodicalId":508798,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139348045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"E-Commerce Product Recommendation System Using Case-Based Reasoning (CBR) and K-Means Clustering","authors":"Legito, Fegie Yoanti, Wattimena, Yulianto Umar Rofi'","doi":"10.35870/ijsecs.v3i2.1527","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i2.1527","url":null,"abstract":"This research proposes and implements an e-commerce product recommendation system that combines Case-Based Reasoning (CBR) and K-Means Clustering algorithms. The main aim of this research is to provide more personalized and relevant product recommendations to e-commerce users. The CBR approach leverages users' transaction history to provide customized recommendations, whereas K-Means Clustering groups users with similar preferences increase the relevance of recommendations. This study assesses the effectiveness of the system by conducting a comprehensive evaluation by comparing system recommendations with actual user preferences. The results of this study reveal that the combined approach of CBR and K-Means Clustering can improve the performance of e-commerce product recommendations, ensure the accuracy of recommendations, and produce a more satisfying shopping experience for users. Although there are limitations in terms of the dataset used and the choice of algorithm parameters, this research makes an important contribution in developing a more adaptive and personalized recommendation system for e-commerce platforms.","PeriodicalId":508798,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139347903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing Customers in E-Commerce Using Dempster-Shafer Method","authors":"Erizal Nazaruddin, Caroline, Andrijanni, Upik Sri Sulistyawati","doi":"10.35870/ijsecs.v3i2.1497","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i2.1497","url":null,"abstract":"This research explores the analysis of consumer sentiment in the context of e-commerce by applying the sophisticated Dempster-Shafer method. We started with the collection of more than 20,000 consumer reviews from various leading e-commerce platforms and continued with a detailed data pre-processing stage to obtain a clean and structured dataset. Next, we leverage the Dempster-Shafer method to represent and combine information from multiple sources, addressing uncertainty in diverse consumer opinions. The results of the sentiment analysis show that the Dempster-Shafer method achieves an accuracy of around 85%, with good evaluation metrics. Additionally, this research provides insight into the factors that influence consumers' views of products or services in the growing e-commerce context. The literature review also reveals the potential application of the Dempster-Shafer method in other aspects of e-commerce business, such as risk management and consumer trust. This research highlights the contribution of the Dempster-Shafer method in addressing uncertainty and complexity in consumer sentiment analysis, yielding a deep understanding of consumer perceptions, and enabling more accurate decision making in a dynamic e-commerce context. This research also provides a foundation for further development in consumer sentiment analysis and the application of the Dempster-Shafer method in e-commerce.","PeriodicalId":508798,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139348221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Personalized Marketing Strategy in Digital Business Using Data Mining Approach","authors":"Yusnidar Yusnidar, Dudi Yudhakusuma, Fitriya Sari","doi":"10.35870/ijsecs.v3i2.1515","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i2.1515","url":null,"abstract":"The integration of personalized marketing strategies and data mining techniques in the realm of digital business has garnered significant attention in recent years. This study employs a mixed-methods approach to explore the dynamics between personalized marketing and data mining, specifically investigating customer perceptions and behavior in the Lhokseumawe and Cirebon regions. Through in-depth interviews, 80 respondents' views on personalized marketing were analyzed, highlighting both positive sentiments regarding tailored campaigns and concerns over data privacy. Furthermore, quantitative analysis was conducted using data from platforms such as WhatsApp, Instagram, TikTok, and Shopee Ecommerce. This revealed distinct customer segments, yielded improved product recommendations, and uncovered interesting purchasing patterns. The results emphasize the importance of striking a balance between personalization benefits and privacy protection. By harnessing the insights provided by data mining, businesses can enhance customer engagement and satisfaction, ultimately navigating the dynamic digital landscape more effectively. This study contributes practical implications and strategic insights for businesses seeking to optimize their digital marketing strategies.","PeriodicalId":508798,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139348616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Oreste Besson Rank and Certainty Factor for Digital Business Investment Decisions","authors":"Yulianto Umar Rofi'i","doi":"10.35870/ijsecs.v3i2.1513","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i2.1513","url":null,"abstract":"This study analyzes investment decision making in digital business using the Oreste Besson Rank and Certainty Factor methods. A mixed qualitative and quantitative approach is used to understand the qualitative factors that influence investment decisions and measure the effectiveness of analytical methods. The results of the qualitative analysis of the in-depth interviews highlight key factors: brand reputation (42% response), technology adaptability (35% response), and long-term growth potential (23% response). Uncertainty of technology and market changes (75% of respondents) affects investment strategy. Quantitative analysis uses the Decision Support System (SPK) and Besson-Rank methods to generate investment alternatives. Digital Properties rank the best, with Besson-Rank weighting the criteria score for a more in-depth look. The Certainty Factor (CF) method assesses investment options based on available data, with E-commerce Growth having the highest score, indicating a higher priority. The internal noise test confirms the Oreste Besson Rank and Certainty Factor methods as reliable tools, providing investment ratings and risk assessments consistent with simulated data. The results of this study underscore the importance of reputation, technology adaptability, and growth potential in digital business investment decisions. The Oreste Besson Rank and Certainty Factor methods are effective in providing accurate guidance. This research provides deeper insight into investment decision-making in a dynamic digital business and proposes recommendations for optimizing this analytical method in the face of market changes.","PeriodicalId":508798,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139348585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of E-Commerce in Increasing Sales Using Unified Modeling Language","authors":"Djarot Hindarto","doi":"10.35870/ijsecs.v3i2.1503","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i2.1503","url":null,"abstract":"The advent of contemporary technology advancements and the proliferation of the internet have presented firms and retail establishments with significant prospects for augmenting their sales outreach via electronic commerce. E-commerce enables stores to engage in the sale of their products across Indonesia and international markets without being constrained by limitations of physical location or temporal constraints. E-commerce has the potential to offer consumers a more convenient, expedited, and efficient shopping experience. Consumers can conveniently look for and make choices on the things they intend to purchase, expediting and enhancing the efficiency of the transactional process. Furthermore, e-commerce can offer consumer satisfaction through many means, such as efficient delivery services, flexible return and refund policies, product exchanges, and responsive and amiable customer support. In contrast, e-commerce can enhance cost-effectiveness and improve operational efficiency within the sales process. E-commerce enables businesses to mitigate operating expenses, including expenditures related to physical store rentals, marketing initiatives, and inventory management. Furthermore, implementing e-commerce can facilitate inventory management and sales tracking for retail establishments. Hence, the significance of e-commerce in promoting the augmentation of store sales is noteworthy. Despite the significant profitability of e-commerce, retailers encounter other obstacles, including intensifying rivalry and the looming risk of cybercrime. Hence, retailers must develop a robust e-commerce strategy to compete effectively in the market and ensure secure and dependable services to their customers. This study uses the Unified Modeling Language, a precious tool for the design and modeling of software to be developed.","PeriodicalId":508798,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139348640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investment Decision Making in Digital Business Using Tsukamoto Fuzzy Logic","authors":"Muhammad Fuad, F. Y. Wattimena, Ahmad Rizani, Yuswardi","doi":"10.35870/ijsecs.v3i2.1525","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i2.1525","url":null,"abstract":"This research investigates the application of Tsukamoto's Fuzzy Logic in investment decision making in a digital business context. By integrating human knowledge and numerical data, this method seeks to overcome the challenges of complexity and uncertainty that often arise in the fast-changing digital business environment. Through analysis of case studies and interviews with industry practitioners, this study identifies the steps for implementing effective Tsukamoto Fuzzy Logic, including the formation of fuzzy variables, determination of membership functions, application of fuzzy rules, and defuzzification processes. The results of Tsukamoto's Fuzzy Logic calculations are applied to digital investment cases, providing an overview of investment quality based on various input variables. This research shows that this method can produce a holistic and informative approach in making investment decisions. In addition, the diverse participation of practitioners in various regions provides valuable insights in dealing with the uncertainties of digital business. In this challenging digital era, this research provides guidance for decision makers in dealing with the complexities of a dynamic business environment.","PeriodicalId":508798,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139348646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electronic Medical Record Management in Monitoring Loan and Return of Medical Records at Majalaya Hospital","authors":"Sri Haryati, Yuda Syahidin, Desy Widyaningrum","doi":"10.35870/ijsecs.v3i2.1496","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i2.1496","url":null,"abstract":"This study aims to develop an electronic-based governance system for monitoring borrowing and returning medical record files at Majalaya Hospital. The Waterfall method was chosen as the main approach because the detailed and structured nature of this method allows planned and scheduled development. This approach also guarantees the quality of the resulting system, as each phase is completed in stages, avoiding over-reliance on a single stage. System development documentation is well organized, where each phase must be completed comprehensively before the next step can be carried out. One of the problems identified related to borrowing medical record files is the absence of an expedition book to record borrowing and returning. The existence of this expedition book is critical in monitoring the distribution of medical record files. Therefore, the authors designed a management system in accordance with the procedures for borrowing and returning medical record files. This system is expected to be able to efficiently monitor the distribution of medical records and organize borrowing and return processes more smoothly. With the existence of an effective monitoring mechanism, it is hoped that it can reduce potential problems that may occur when borrowing and returning medical records, even being able to deal with them proactively","PeriodicalId":508798,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"119 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139348695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Embracing the Technological Metamorphosis: Envisioning Higher Education for Generation Alpha in a Shifting Educational Landscape","authors":"Dave Miller","doi":"10.35870/ijsecs.v3i2.1492","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i2.1492","url":null,"abstract":"The contemporary landscape is witnessing an accelerated technological evolution that is fundamentally altering our conception of knowledge as an open and easily attainable entity. This transformative progression is not only redefining the practical application of competencies, concepts, and insights but also exerting a profound impact on various facets of education. This paradigmatic transition, catalyzed by the pervasive influence of technology, is particularly pertinent in the realm of education, where its metamorphic contributions are conspicuously manifest. As the educational milieu continues to undergo metamorphosis, the future pedagogical and didactic methodologies will inevitably bear the indelible imprint of technological advancements. Concurrently, educators are confronted with the distinctive imperative of effectively engaging the emergent cohort of learners, commonly referred to as Generation Alpha, within the context of higher education. Characterized by a pronounced entrepreneurial disposition, Generation Alpha is notably predisposed to embracing innovation and advancement, with a significant proportion of its members harboring aspirations of pursuing tertiary education. The present study undertakes a proactive stance in envisioning the educational dynamics and prospects that will define the forthcoming landscape of higher education, with a focal lens on the distinctive attributes of Generation Alpha. This entails a comprehensive inquiry into their favored pedagogical modalities, cognitive perspectives, and educational anticipations. The study embraces a robust theoretical framework that is anchored in the distinctive attributes of Generation Alpha, attributes invariably molded by the inexorable march of technological progress. In a complementary manner, the study derives insights from a triad of discrete empirical investigations conducted across diverse locales including Slovakia, Hungary, Australia, and Turkey. Collectively, these empirical explorations synergistically illuminate the complex matrix of challenges and opportunities that underpin the educational edifice concerning Generation Alpha. The research significantly underscores the potency wielded by the realm of social media and interconnectivity in shaping educational discourse. Moreover, it discerns Generation Alpha's inherent prowess in swiftly assimilating and processing information as an invaluable asset that stands to influence forthcoming pedagogical paradigms within the precincts of higher education. Informed by these discerning revelations, the research culminates in the formulation of actionable imperatives directed at institutes of higher learning, with a strategic intent to implement transformative measures aimed at elevating the erudition voyage for the denizens of Generation Alpha. These prescriptive directives are meticulously attuned to the distinct attributes, cognitive configurations, and educational expectations that are emblematic of Generation Alpha, the","PeriodicalId":508798,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139348724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"E-Commerce Supply Chain Optimization with the MOORA Method and Certainty Factor","authors":"Caroline","doi":"10.35870/ijsecs.v3i2.1506","DOIUrl":"https://doi.org/10.35870/ijsecs.v3i2.1506","url":null,"abstract":"This study analyzes supply chain optimization on e-commerce platforms by applying the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) and Certainty Factor methods. The aim of this research is to gain in-depth insights into the relative performance of e-commerce platforms in the context of predefined criteria and sub-criteria. The research methodology consists of six stages, including data collection, selection of criteria and sub-criteria, application of Certainty Factor, selection of case studies, relative analysis using MOORA, and certainty level analysis using Certainty Factor. The results of the analysis show that these two methods provide valuable insights regarding the performance of e-commerce platforms. The MOORA method provides a relatively strong rating, while the Certainty Factor provides an additional dimension by considering the level of certainty regarding the factors that affect performance. From a comparison of the results of the two methods, platforms such as Tokopedia.com and Shopee consistently rank well in both analyses. The implication of this research is that the e-commerce platform has greater development potential in supply chain optimization efforts. Overall, the integration of the MOORA and Certainty Factor methods has succeeded in providing more detailed and comprehensive insights into supply chain optimization on e-commerce platforms. This research provides guidance for stakeholders in making more informed and directed decisions regarding supply chain optimization strategies in e-commerce platforms","PeriodicalId":508798,"journal":{"name":"International Journal Software Engineering and Computer Science (IJSECS)","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139348619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}