Journal of Engineering and High Technology

Rescue drone swarm design for innovative disaster management and rescue operations

2025-07-18T12:35:46+07:00

Conventional emergency response strategies are often constrained by limited operational coverage, slow resource mobilization, and fragmented data acquisition, which hinder coordination effectiveness during critical phases. This study proposes the design of an autonomous drone swarm system to support innovative disaster management and rescue operations. A coordinated multi-agent-based system was designed to perform real-time monitoring, structured search and rescue, and post-disaster infrastructure evaluation. Rule-based behavioral modeling is used in complex emergency scenarios such as natural disasters. The initial simulation results showed greater area coverage, accelerated response times, and increased mission adaptability under dynamic conditions. The system is also designed to deliver logistical assistance, such as food and medicine, to hard-to-reach areas, such as ravines or steep mountains. The integration of artificial intelligence algorithms improves target identification precision and adaptive swarm response. This model is considered to have the transformational potential to be the foundation for the development of future rapid-response autonomous rescue systems.

Comparison of prototype designs of wavy solar roof tiles and flat solar roof tiles for BIPV applications

2025-07-13T20:47:32+07:00

This study compares the design efficiencies of two types of solar roof tile prototypes—flat and curved—in converting solar energy into electrical energy. Both types of solar tiles were tested under similar environmental conditions, including the light intensity, temperature, and roof tilt angle. The key parameters analyzed included output power, energy conversion efficiency, and performance stability over a defined period. The experimental results indicate that the flat solar roof tile exhibits a slightly higher conversion efficiency under optimal irradiation conditions. However, the curved solar roof tile demonstrated better performance in capturing light at varying incident angles, particularly during the morning and late afternoon, owing to its curved shape, which enables more uniform light absorption throughout the day. The study concludes that the selection of a solar roof tile type should be tailored to geographical conditions and specific user needs, as each design offers distinct advantages in terms of efficiency and installation flexibility.

The influence of social media endorsement on local fashion brands: Evidence from university students in Indonesia

2021-06-19T13:23:41+07:00

This study examines the influence of social media endorsement on local fashion brands as perceived by university students. Focusing on three Indonesian local brands—Erigo Apparel, Rawtype Riot, and Guten Inc—the research investigates whether endorsement activities generate significantly different impacts across brands within a young, digitally savvy consumer segment. A quantitative, cross-sectional survey was conducted among students of Bina Nusantara University Alam Sutera. Using non-probability purposive sampling, 150 questionnaires were distributed and 120 valid responses were retained for analysis. Endorsement-related perceptions were measured on Likert-type scales, and data were analyzed using the Kruskal–Wallis H test because normality assumptions were not met. The results show that there is no statistically significant difference in endorsement ratings among the three brands, indicating that students perceive the overall influence of endorsement for Erigo Apparel, Rawtype Riot, and Guten Inc at a similar level. These findings suggest that, within this segment, endorsement has become a baseline expectation rather than a clear source of competitive differentiation between local fashion labels. Managerially, the results imply that brand owners should move beyond merely “using influencers” and instead strengthen endorser–brand congruence and distinctive brand associations to stand out in a crowded social media environment. The study also highlights the need for further research that decomposes endorsement into specific credibility dimensions and includes broader and more diverse samples.

Design of information distribution system (soundsee) on website-based digital platform

2021-09-19T06:17:29+07:00

Dissemination of information about promos, events or company products is very important to attract clients / customers. However, the dissemination of information by distributing brochures / pamphlets is not efficient. In addition, for the dissemination of information through Whatsapp, e-mail or SMS has the risk of Hacking. Hacking techniques such as Social Engineering are often ignored by companies so often targeted for Cyber Crime. To prevent this, there needs to be an information data security system that pays attention to aspects of confidentiality, integrity and availability. This research aims to create a system that serves as a safe and efficient information delivery. Soundsee is a web-based information dissemination system that comes with mass message delivery on whatsapp (Whatsapp Blast). Soundsee stores customer information data such as phone numbers and company information data that disseminates information and prevents cyber crime problems using Social Engineering Hacking Techniques. With the Agile Development Methods method with the Scrum Model, the system was developed. This system allows users to store customer data as well as create information that wants to be conveyed to the customer. After that spread the information to whatsapp media platform to customers whose data has been stored or can be uploaded to other media platforms such as facebook and Instagram. The use of this system is able to increase the efficiency of time and cost and improve data security in the dissemination of information.

Motivation, technology use, learning interest, and learning outcomes among Indonesian undergraduates

2021-06-19T00:11:33+07:00

This study investigates whether motivation, technology use, and learning interest meaningfully differentiate learning outcomes among undergraduate students in a private university in Indonesia. Drawing on theories of self-determination, interest development, and educational technology, the research examines three frequently cited drivers of academic performance in higher education. A quantitative, cross-sectional survey was administered to 100 students at BINUS University Alam Sutera, who completed a structured online questionnaire measuring learning motivation, technology use in learning, learning interest, and self-reported learning outcomes. Composite scores were calculated for each construct, and Analysis of Variance (ANOVA) was employed to test for differences in mean learning outcomes across levels of motivation, technology use, and learning interest. Descriptive statistics indicated generally moderate to high levels of motivation, frequent technology use, and positive learning interest in the sample. However, ANOVA results showed no statistically significant differences in learning outcomes across levels of any of the three predictors (p > 0.05). These findings contrast with much of the theoretical and empirical literature that posits positive effects of motivation, interest, and technology integration on academic achievement. The results suggest that, in this context, relatively uniform assessment practices, measurement limitations, and unobserved factors such as instructional quality and prior ability may overshadow the direct influence of the studied variables. The study highlights the need for more refined measurement, stronger alignment between technology and pedagogy, and more discriminating assessment systems in future research and practice.