Current Issue
Volume 10 - Issue 03 (May - June 2026)
| Title: | Programming Paradigms in the Age of AI: Prompt-Engineered Code vs. Hand-Written Code |
| Authors: | Adewole A.P., Awoleye Bolaji Stephen, Augustine Peter Edoka, Omikunle Oluwafisayo Yewande, Abe Oluwaseyi Elizabeth |
| Source: | International Journal of Latest Research in Engineering and Management, pp 01 - 05, Vol 10 - No. 03, 2026 |
| Abstract: | This study compared prompt-engineered and hand-written code across 15 programming tasks in Python, Java, and JavaScript. An experienced developer and a prompt engineer using GPT-4o and Claude 3.5 Sonnet completed identical tasks, evaluated on development speed, functional accuracy, cyclomatic complexity, security, and maintainability. Although the development time with AI-based assistance decreased by around 82%, the code generated by AI showed a 14.7% decreased maintainability, a 61.9% increased cyclomatic complexity, and had no security risks compared with the manually written code. In conclusion, a Pareto-type of problem was revealed. The AI solves 80% of any task rapidly, while the 20% edge cases and architecture/security logic needs a real human being. A hybrid model is proposed wherein developers retain authorship of core architecture and business logic while delegating well-defined implementation patterns to AI tools. |
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| Title: | Openness to Experience and Job Satisfaction among Doctors in Telemedicine: Examining the Moderating Role of Moral Disengagement |
| Authors: | Miftahudin, Matrissya Hermita, Siti Marliah Tambunan, Nurlintang Putri Ayuning Rizal, Winda Lestari |
| Source: | International Journal of Latest Research in Engineering and Management, pp 06 - 13, Vol 10 - No. 03, 2026 |
| Abstract: | The expansion of telemedicine has transformed healthcare delivery and introduced new professional demands for doctors practicing in digital healthcare environments. Drawing on Self-Determination Theory (SDT), this study examined the relationship between openness to experience and job satisfaction among doctors in telemedicine, with moral disengagement as a moderator. A quantitative cross-sectional design was employed involving 221 doctors practicing in telemedicine, selected using convenience sampling. Job satisfaction was measured using the Job Satisfaction Survey (JSS), openness to experience using the Indonesian Big Five Inventory (BFI), and moral disengagement using a modified Bandura scale. Data were analyzed using Structural Equation Modeling (SEM) with AMOS. The model demonstrated acceptable fit (χ²=1.425; p=.133; RMSEA=.062). The findings showed that openness to experience significantly predicted job satisfaction (p=.001), indicating that physicians with greater cognitive flexibility, adaptive learning orientation, and receptiveness toward novelty tended to report higher occupational satisfaction in telemedicine settings. Moral disengagement significantly moderated the relationship between openness to experience and job satisfaction (p<.001).This study extends understanding of physician job satisfaction by integrating personality adaptation, moral cognitive processes, and SDT within digital healthcare contexts. |
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