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The pursuit of success in one's chosen profession is a universal aspiration that requires individuals to engage in competition, not just domestically but also internationally, particularly in today's era of globalization. The rapid advancement of technology presents both opportunities and challenges, necessitating proactive management to achieve professional success. In the field of Informatics Engineering, there is a wide range of professional pathways, each offering unique opportunities and requiring distinct skill sets. For university graduates, it is crucial to have a comprehensive understanding of the specific requirements and demands associated with various job paths to make informed decisions. This knowledge enables them to select a professional route that aligns with their individual aspirations and goals, thereby avoiding potential discontent in their chosen career. Lack of knowledge or awareness during the decision-making process can negatively impact productivity and overall performance. There is a growing demand among university graduates, especially at the undergraduate level, for career-related information. This has led to heightened competition among graduates in terms of skills, knowledge, and availability. To effectively navigate this competitive landscape and engage in meaningful competition with fellow graduates, individuals must possess a comprehensive understanding of their desired career trajectory. To address these challenges, the Decision Support Model (MPK) can be utilized, employing the Fuzzy Analytical Hierarchy Process methodology. This approach considers four primary criteria—Financial Compensation, Non-Financial Compensation, Soft Skills, and Hard Skills—each with several sub-criteria. These criteria are evaluated based on the perspectives of certified graduates of Informatics Engineering and industry specialists. The study successfully identified the primary criteria influencing career decisions, such as job conditions, incentives, and prospects. It also highlighted the most favorable career path, with the role of a Data Analyst being identified as particularly promising. This career path involves roles within the field of Informatics Engineering that focus on processing data according to specific requirements, highlighting the importance of understanding the evolving landscape of technology and its impact on professional opportunities. Doi: 10.28991/ESJ-2024-08-01-011 Full Text: PDF

Nowadays, most of our daily activities are assisted electronically due to not only time effectiveness but also activity efficiency. Processes that once could only be completed at the office are now able to be done anywhere and anytime, as long as there is internet access. One obvious example is the COVID-19 pandemic which leads to the work-from-home system. Therefore, this spurred the author on to innovation by adapting to the current phenomenon. Most of our daily activities are currently converted to digital, in which these digital users can reap abundant results. This manual-to-digital conversion is known as ‘digital transformation’. The purpose of digitalization in this organization is to transform the disposition distribution of the leaders from manual to digital. The result of the study is the adoption of e-Disposisi application (paperless office) in the organization, which causes the business processes to be more effective and more efficient concerning time, human resources, document storage, and paper use. This implementation results in changes in the business processes, the reduction of time needed to distribute documents, the lower purchase of paper and tint, and the minimized employment of human resources. Generally, the research contributes to the more effortless business processes in the organization, allowing operations to continue without direct contact. Data collection was done through various methods, namely observation, interview, questionnaire, focus group discussion (FGD), and literature. The methodologies used were Soft System Management, qualitative and quantitative referring to the IT Information Library framework. Doi: 10.28991/ESJ-2023-07-06-07 Full Text: PDF

Monitoring the movement of boats in shallow waters requires a real-time monitoring system. However, for small-size wooden boats, they are still monitored manually, and data is unavailable in real time, which makes it difficult to effectively monitor them. The integration of IoT platforms with the boat monitoring system is a challenging task, especially in the transport system. This paper has the objective of developing an architectural model of a modified LoRaWAN-based boat monitoring system that is connected to a GPS-based mobile device and base station. The proposed architectural model is an integration of Bluetooth Low Energy (BLE) and LoRaWAN networks, which are also tested in real time to solve the boat traffic monitoring issues. The field tests with parameters of signal transmission, location coordinates, and position of the boats are also presented. The analysis result shows the proposed model is suitable for waters with high noise levels, especially in shallow water and delta rivers. The signal noise can be reduced by extracting the real-time data. In addition, signal interference can be minimized. The performance of this system is also compared to the reference system in real conditions, which shows an adequate correlation result. This proof of concept forms an important basis for deploying it for large-scale applications and commercialization capabilities. Doi: 10.28991/ESJ-2023-07-04-011 Full Text: PDF

Objectives: The purpose of this research is to conduct an examination of intention factors for using social commerce in Indonesia. Methods/Analysis: This research is a quantitative study that applies the customer analysis model to four big social commerce sites in Indonesia. This study uses the multivariate regression method and IBM SPSS 25 software to prove the relationship between research variables. Findings: Variables will include performance expectations, effort expectations, societal effects, supportive circumstances, and cost savings. Data from 210 online respondents in Indonesia were collected. Novelty and Improvements:Positive outcomes are provided by the model as a result of changes in the use of social commerce. Doi: 10.28991/HIJ-2022-03-04-01 Full Text: PDF