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INDONESIA
Journal of Engineering and High Technology
Published by PRIVIETLAB
ISSN : -     EISSN : 31637760     DOI : https://doi.org/10.55942/jeht.v2i1.2099
Core Subject :
Journal of Engineering and High Technology (JEHT) is an international scholarly journal dedicated to publishing high-quality research in the fields of engineering and high technology. The journal aims to provide a rigorous academic platform for the dissemination of original empirical studies, theoretical developments, experimental investigations, computational analyses, and review-based research that contribute to the advancement of technological systems and engineering practices. The journal welcomes manuscripts that offer strong theoretical foundations, robust methodological approaches, and practical implications for researchers, engineers, practitioners, policymakers, industry stakeholders, and technology developers. It particularly encourages studies that address technological innovation, engineering design, system optimization, computational modeling, automation, sustainability, and the performance improvement of advanced technological systems.
Arjuna Subject : -
Articles 11 Documents
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The effect of price and product promotion on customer loyalty in a digital market context Putri Sekarini Hendrawan; Dea Yolandri; Vincent Julianto Sebastian; Hernando Nicholas; Ruben Imanuel Hutagalung; Theresia Sally Monica
Journal of Engineering and High Technology Vol. 1 No. 1 (2025): November
Publisher : Privietlab

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Abstract

This study investigates the effect of price and product promotion on customer loyalty in a digitally mediated market context. While prior research generally reports positive effects of price fairness and promotional activities on loyalty, evidence from specific contexts remains mixed and often embedded within broader models that include service quality and brand image. This study adopts a quantitative, explanatory design with a positivist orientation, using survey data collected from 70 customers who have purchased the company’s products at least twice in the last six months and are aware of its promotional activities. Perceived price, product promotion, and customer loyalty are measured using multi-item Likert scales, and the data are analysed using multiple linear regression. The results show that the overall regression model is not statistically significant at the 5% level, with an R² of 0.071 indicating that price and promotion jointly explain only 7.1% of the variance in customer loyalty. The coefficient for price is positive, while the coefficient for promotion is negative, but neither exerts a significant effect on loyalty. These findings suggest that price and promotion alone are not sufficient to generate strong customer loyalty and that other factors—such as service quality, product value, and brand image—likely play a more dominant role. The study highlights the need for firms to embed price and promotion decisions within a broader relationship-marketing strategy rather than relying on economic incentives alone to sustain customer loyalty
Motivation, technology use, learning interest, and learning outcomes among Indonesian undergraduates Nico Alexsander; Dara Kinanti; Seyda Fathimya; Anaise Abbril Khan; Nadira Elysia Putri; Indri Ikap Prasetiyawati
Journal of Engineering and High Technology Vol. 1 No. 1 (2025): November
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Abstract

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.
The influence of social media endorsement on local fashion brands: Evidence from university students in Indonesia Marshel Alycia; Restu Nur Aini; Muhammad Fadli Hamdi; Teguh Andre Ho; Kevin Sanjaya Jio
Journal of Engineering and High Technology Vol. 1 No. 1 (2025): November
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Abstract

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 Omega Joel Patria Moata; Indah Suryani
Journal of Engineering and High Technology Vol. 1 No. 1 (2025): November
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Abstract

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.
Comparison of prototype designs of wavy solar roof tiles and flat solar roof tiles for BIPV applications Dean Anggara Putra; Rahmat Rahmat; Rifo Nurlaksana Restu; Jefri Imron; Marhaendra Natawibawa; Hery Sumardiyanto
Journal of Engineering and High Technology Vol. 1 No. 1 (2025): November
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Abstract

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.
Escaping the pilot trap: Industry 4.0 readiness and the adoption of artificial intelligence in Indonesian manufacturing Bintang Pratama
Journal of Engineering and High Technology Vol. 2 No. 1 (2026): May 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/jeht.v2i1.2099

Abstract

Indonesia launched its Making Indonesia 4.0 roadmap in 2018 with the explicit ambition of reversing premature deindustrialization and lifting the country out of the middle-income trap. Seven years later, the gap between policy aspiration and shop-floor reality remains stark: national readiness scores are low, adoption is concentrated in large firms, and a proliferation of pilot projects has not translated into plant-wide transformation. This commentary argues that Indonesia is caught in a “pilot trap” the root causes of which are organizational and institutional rather than purely technological. Drawing on the readiness-assessment literature (INDI 4.0), technology-adoption theory, and the evidence base on machine learning in manufacturing, this article contend that artificial intelligence will deliver value in Indonesian manufacturing only where three preconditions—data infrastructure, human capital, and credible business cases—are met, and that the dominant small- and medium-enterprise segment risks exclusion from the digital industrial transition. This article critically examine four tensions: the validity of self-reported readiness indices, automation versus employment in a labor-abundant economy, state-versus market-led diffusion, and the persistent gap between AI’s promised and captured value. This article conclude with a targeted agenda for researchers, engineers, and policymakers that reframes Industry 4.0 in Indonesia from a technology-acquisition problem to a capability-building problem.
The country of perpetual potential: Engineering the solar and geothermal transition in Indonesia Rafi Muhammad Nur
Journal of Engineering and High Technology Vol. 2 No. 1 (2026): May 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/jeht.v2i1.2106

Abstract

Indonesia holds one of the world’s largest endowments of renewable energy, including some of the greatest geothermal resources on Earth and solar potential that dwarfs national demand. However, renewables supply only a modest share of its electricity, and its 23%-by-2025 target has been missed. This commentary argues that the defining feature of the Indonesian energy transition is a persistent gap between physical potential and deployed capacity, and that this gap is fundamentally an engineering-and-institutions problem rather than a resource issue. Focusing on solar photovoltaics and geothermal energy, I show that the binding constraints are the cost of capital, design of procurement and offtake, grid integration, and policy instability, and that these interact with genuine engineering challenges: subsurface risk and scaling in geothermal, variability and storage in solar, and the extraordinary difficulty of serving demand dispersed across more than seventeen thousand islands. I treat geothermal firmness and solar abundance as complements rather than rivals, and critically examine the tensions that any credible transition strategy must resolve—local-content rules versus deployment speed, the single-buyer utility model, and the promise versus the delivery of international climate finance. I conclude with an agenda that pairs engineering priorities with institutional reforms, without which the potential will remain perpetual.
Building the smart capital: Nusantara and the promise and peril of smart-city engineering in Indonesia Hanif Farhan
Journal of Engineering and High Technology Vol. 2 No. 1 (2026): May 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/jeht.v2i1.2107

Abstract

Indonesia is undertaking one of the most ambitious urban experiments of the century: the construction of a new national capital, Nusantara or Ibu Kota Negara (IKN), in East Kalimantan, conceived simultaneously as a forest, sponge, and smart city. This commentary situates Nusantara within Indonesia’s broader smart-urban trajectory, from the 2017 “Movement Towards 100 Smart Cities” to the digital twin frameworks now proposed for the new capital, and asks a deliberately critical question: under what conditions can smart-city engineering deliver genuinely better urban life rather than an expensive technological spectacle? Drawing on the smart-city literature and the documented experience of greenfield techno-cities such as Songdo, Masdar, and NEOM, I argue that the decisive risks are not technical but socio-technical—digital exclusion, data governance and surveillance, technocratic top-down planning, environmental impact in a biodiversity hotspot, and funding realism. I contend that the engineering community should treat the “smart” layer of Nusantara as an instrument subordinate to human and ecological ends, not as an end in itself, and that Indonesia’s own smart-city research offers resources for a more inclusive, sustainable, and accountable model. I conclude with a design agenda oriented toward people and places.
Generative artificial intelligence in engineering design: Between optimisation and imagination Muhammad Zaki Rasyadi
Journal of Engineering and High Technology Vol. 2 No. 1 (2026): May 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/jeht.v2i1.2109

Abstract

Generative artificial intelligence has moved from a research curiosity to a central preoccupation of the engineering-design community in the space of a few years. This commentary offers a critical map of the field, distinguishing three overlapping waves: the established discipline of topology optimization and generative design; deep generative models—generative adversarial networks, variational autoencoders, and, most recently, diffusion models—that synthesize designs from data; and the large-language-model turn that has brought foundation models into the conceptual and documentary phases of design. I argue that the most consequential questions raised by generative design are not about raw capability but about evaluation, trust, and the division of labor between humans and machines. Off-the-shelf machine learning metrics reward statistical resemblance rather than engineering validity, large models hallucinate and violate physical constraints, and the manufacturability of visually impressive outputs is frequently doubtful. Reviewing the evidence, I contend that generative tools are best understood as instruments that expand the designer’s search over possibilities rather than as autonomous designers, and that the field’s central task is to build the evaluation, verification, and accountability infrastructure that would make generative design trustworthy. I conclude with an agenda for this task.
Digital twins and cyber-physical systems for sustainable manufacturing: Enabler or illusion? Mochammad Dandi
Journal of Engineering and High Technology Vol. 2 No. 1 (2026): May 2026
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/jeht.v2i1.2110

Abstract

Digital twins and cyber-physical systems are routinely presented as engines of sustainable manufacturing, promising large reductions in energy use, materials, and emissions. This commentary asks whether this promise is an established fact or a conditional hypothesis. Reviewing the conceptual foundations—from the origin of the digital twin idea and the five-level cyber-physical-systems architecture to the crucial but widely blurred distinction between a digital model, a digital shadow, and a true digital twin—I show that much of what the industry labels a digital twin lacks the bidirectional coupling that the concept requires. I then survey the sustainability case, which is genuine but rests largely on simulations and review-level syntheses, and foreground a counterargument that the field too often ignores: the energy and carbon cost of the computing infrastructure on which twins run, and the rebound effects that can erode or reverse efficiency gains. I argue that the net sustainability benefit of digital twins is not automatic but conditional, that it must be demonstrated with a system-boundary life-cycle assessment that internalizes the twin’s own footprint, and that interoperability, security, and equitable access for small firms are the practical constraints on scaling. I conclude with a research agenda and a reading of the Industry 5.0 turn as a normative reframing that still awaits empirical proof.

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