Formosa Journal of Multidisciplinary Research (FJMR)
Formosa Journal of Multidisciplinary Research (FJMR) is a multidisciplinary journal published by Formosa Publisher. Formosa Journal of Multidisciplinary Research (FJMR) is published every month (monthly). Formosa Journal of Multidisciplinary Research (FJMR) is a peer reviewed, open access, and scientific journal that publishes research papers, review papers, case reports, case studies, book reviews, theses, dissertations, etc. Focus and Scope: This journal is dedicated to exploring and disseminating the results of various creative and innovative thoughts based on scientific research and thought processes. This journal focuses on: Humanities: Arts, History, Languages, Literature, Music, Philosophy, Religion, Theatre, etc. Social Sciences: Geography, Sociology, Education, Political Science, Law, Policy, Social Studies, Arts, History, Philosophy, Anthropology Management: Trade, Economics, Finance, Accounting, Corporate Governance, Human Resource Management, Marketing Management, Quality Management Training and Development Engineering: Information Technology, Computer Applications, Civil Engineering, Mechanical Engineering, Chemical Engineering, Electrical Engineering, Physics Medical Sciences: Medicine, Health, Nursing, Clinical Research, Pharmacy, Pharmacy, Pharmacognosy, Pharmacology, Phytochemistry Biology: Botany, Bioscience, Microbiology, Biotechnology, Clinical Biology, Molecular Biology, Biochemistry, Agriculture, Chemistry, Environment and Ecology, Food Science, Nutrition, Plant Science, Entomology, Zoology, Fisheries Physical Education: Sports, Yoga, Physiotherapy, Physiology, Exercise, Health
Articles
642 Documents
The Effect of Work-Life Balance, Work Environment, and Work Discipline on Employee Performance in AKPRIND University Employees
Hidaya, Vera Nurul;
Dwiarti, Rina
Formosa Journal of Multidisciplinary Research Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL
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DOI: 10.55927/fjmr.v4i1.13189
The purpose of this research is to ascertain how employee performance is affected by work-life balance, work environment, and work discipline. AKPRIND University was the site of this study. This study uses SPSS software and is quantitative in nature. Direct distribution of questionnaires and observation are two methods and instruments used in data collecting. There were 104 responders in the study's sample. The study's findings suggest that neither work-life balance nor the workplace environment significantly improves AKPRIND University workers' performance. Employee performance at AKPRIND University is positively and significantly impacted by work discipline.
Artificial Intelligence (AI) for Low-Code and No-Code Development: Making Non-Developers Developers in 2024
Kacheru, Goutham;
Arthan, Nagaraju;
Bajjuru, Rohit
Formosa Journal of Multidisciplinary Research Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL
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DOI: 10.55927/fjmr.v4i1.13369
Low-code and no-code development platforms are here to transform the software development landscape by allowing even non-technical users build applications without the need of their advanced programming skills. Artificial Intelligence (AI) is the most crucial player in this evolution; reinvigorating these platforms with intelligent automation, device responsive templates and user-friendly interfaces (2024). Users can design, build, and deploy applications easily with AI-powered features (e.g., Natural Language Processing (NLP), drag-and-drop functionality to-design application & code-generation tools). Democratization of Application Development These innovations democratize application development, thereby allowing businesses to innovate faster, lessen the reliance on professional developers, and meet the surging demand for digital solutions. In this paper, we look at how AI-assisted low-code and no-code platforms are changing the way new apps are being developed, empowering non-developers to participate in software creation and accelerating automation of app development. It also presents the challenges and future aspects that we have to deal with in order to use AI on these platforms, as well as their future role of building a bridge between technical expertise and creative problem-solving.