Journal of Technology and Humanities

The Midnight Siren: Bringing the Elegance of Kebaya to Life through an Interactive Digital Catalog in Scratch

2025-11-21T01:56:56+00:00

Digital fashion presentations often fail to capture the essence and aesthetic value of complex garments like the modern kebaya, resulting in a loss of narrative and detail. This research explores the use of the visual programming platform Scratch, which is generally educational, as a medium for creating an immersive interactive digital catalog. Utilizing the ADDIE methodological framework, the study developed and evaluated a prototype catalog for the "The Midnight Siren" collection based on in-depth interviews with nine experts from the fashion industry, digital media, and academia. The findings indicate that this accessible platform can democratize immersive experiences without high-end technology, transform product presentation from static imagery to meaning-rich dynamic narratives, and demonstrate the significant potential of creatively recontextualizing a platform beyond its original function. This study concludes that creativity in interaction design, rather than technological sophistication, is the key to creating compelling fashion brand communication and offers innovative solutions for independent designers.

Luxury Roleplay Adventure: Explore the New LuxGold Collection at Lizette Closet Scratch

2025-11-21T02:05:44+00:00

The paradigm of contemporary fashion design has transcended physical boundaries, venturing into the boundless realm of digital and interactive media. This phenomenon, accelerated by technological advancements and the popularity of virtual metaphors, demands innovative approaches to exploring the aesthetics and functionality of clothing. The digital entertainment landscape in Indonesia has witnessed the massive popularity of online role-playing games (RPGs), where players can build virtual identities, explore complex narratives, and create microeconomic ecosystems. The popularity of this genre highlights the audience's strong desire for immersion and personalization in digital experiences, including character visualization through virtual clothing. However, there is a significant gap in scientific literature examining the integration of traditional clothing design and easily accessible digital creation platforms such as Scratch. This study explores “Luxury Roleplay Adventure: Explore the New LuxGold Collection at Lizette.Closet Scratch!” using the ADDIE framework to examine the integration of a luxury fashion collection themed around the Indonesian royal family into a Scratch-based RPG. Drawing on interviews with five experts in digital fashion, game development, and academia, the findings highlight the importance of character personalization and narrative-driven clothing choices, where each outfit serves as a “narrative key.” Despite Scratch’s graphical limitations, asset optimization and minimalist design can preserve the sense of luxury, while ethical and sustainability values can be embedded through narrative and remixing features. This research contributes to discussions on fashion design evolution and the role of UGC platforms in digital fashion innovation.

Analysis Of Cutting Accuracy Using CNC Router Machine Based on Workpiece Thickness, Spindle Speed and Cutting Form

2025-12-01T02:54:35+00:00

The utilization of CNC Router machines has gained significant traction among practitioners in the field of creative arts due to their ability to expedite the production process of various artistic and functional products. However, despite the widespread adoption of this technology, the issue of dimensional accuracy and precision in the final output remains largely underexplored within the creative industry. This study aims to critically analyze the dimensional accuracy of products fabricated using a CNC router machine. In this research, a CNC router with a working bed dimension of 8 feet by 4 feet was employed. The research specifically examined the correlation between spindle speed, workpiece thickness, and the accuracy of geometric cuts, namely square and circular shapes. Accuracy was evaluated in terms of dimensional deviations along both the X and Y axes. The findings reveal notable discrepancies in measurement, particularly along the Y-axis, while the X-axis exhibited relatively minor deviations. At a spindle speed of 3000 revolutions per minute (rpm), the maximum dimensional deviation recorded was 0.1 mm along the X-axis and -0.3 mm along the Y-axis. When operating at 2500 rpm, the maximum deviation increased to 0.2 mm on the X-axis and 0.4 mm on the Y-axis. At a lower spindle speed of 2000 rpm, deviations remained consistent at 0.1 mm on the X-axis and 0.4 mm on the Y-axis. In contrast, circular cuts demonstrated a more uniform pattern of dimensional consistency, with minimal deviation observed across various spindle speeds. These results underscore the significance of optimizing machining parameters, particularly spindle speed to enhance cutting precision, especially along the Y-axis. This study contributes valuable insights into the precision engineering aspects of CNC Router applications and emphasizes the need for meticulous parameter calibration in creative manufacturing processes.

Behavior Based Learning Analytics in Pair Programming: A Conceptual Approach to Enhance Programming Competency

2025-12-01T03:43:38+00:00

Programming remains a significant challenge for students in higher education, particularly within technical and vocational institutions where foundational computing skills are often limited. Despite the adoption of various instructional strategies, high failure rates and low programming competency persist. Pair programming, a collaborative learning approach, has shown potential to enhance students’ coding skills, engagement, and confidence. However, traditional pairing methods—often based on random assignment or technical ability—fail to account for individual learning behaviors that critically influence collaborative outcomes. This concept paper proposes a behavior-based pairing framework that integrates learning analytics to enhance programming competency through more strategic pair formation. Drawing on data extracted from Learning Management Systems (LMS) such as login frequency, activity completion, forum participation, and assignment submissions, the framework identifies two key learning behaviors: engagement and self-regulated learning (SRL). Clustering techniques are employed to group students according to these behavioral attributes, and heterogeneous pairing is applied to match partners with contrasting learning profiles. This approach aims to promote complementary collaboration, foster peer support, and enhance problem-solving effectiveness in programming tasks. The proposed framework aligns with the Malaysian Education Blueprint 2015–2025 (Higher Education), the National TVET Policy, and global initiatives linked to Education 4.0 and Industry 4.0. It also addresses the national agenda on graduate employability and supports data-informed teaching practices. By integrating behavioral insights with learning analytics, this concept introduces a personalized and evidence-based approach to programming education. It provides a foundation for future empirical validation and offers practical implications for improving curriculum design, instructional strategies, and student outcomes in computing education.

Reimagining Teacher Education in the Age of Generative AI: TVET Pre-Service Teachers’ Perspectives on Digital Pedagogical Competence

2025-12-01T04:01:17+00:00

Over the past decade, the rapid advancement of educational technologies—most notably Generative Artificial Intelligence (GenAI) has reshaped the global teaching and learning landscape. Tools such as ChatGPT and other Large Language Models (LLMs) have demonstrated transformative potential in enabling personalised learning, automating assessment, generating context-specific teaching resources, and fostering inclusivity for diverse learners. Despite these advancements, concerns remain regarding educators’ preparedness, particularly among pre-service teachers, to integrate GenAI effectively and ethically into pedagogy. This study aimed to assess the levels of participation, perceived usefulness, perceived ease of use, AI-TPACK understanding, and behavioural intention towards GenAI adoption among pre-service teachers in the Technical and Vocational Education and Training (TVET) context. Employing a quantitative survey design, data were collected from 61 pre-service teachers enrolled in the Bachelor of Teaching Degree Program (PISMP), June 2022 Intake (Year 3, Semester II), specialising in Design and Technology (RBT) at the Institute of Teacher Education, Technical Education Campus (IPGKPT). A 36-item questionnaire based on a 5-point Likert scale was administered, and descriptive statistics (mean and standard deviation) were computed using SPSS Version 30. Findings indicate a high level of behavioural intention to adopt GenAI (M = 3.89, SD = 0.92), with moderate perceptions of ease of use (M = 3.10, SD = 1.01) and average perceptions of usefulness (M = 3.36, SD = 1.03), reflecting existing gaps in AI literacy. These results hold important implications for policy-makers, curriculum designers, and teacher educators, underscoring the need for targeted GenAI-integrated training, practice-based learning opportunities, and ethical competency frameworks. Aligned with Malaysia’s Digital Education Policy 2023–2030, this research contributes to the literature on technology acceptance by providing empirical evidence of GenAI readiness in specialised teacher education, offering insights to support national and global educational transformation agendas.

The Needs Analysis for Developing TRIZ-GP Module in Creativity and Innovation Courses at Malaysian TVET Institutions

2025-12-01T04:17:37+00:00

The purpose of this study was to determine whether TRIZ-GP modules should be developed for use in creativity and innovation courses in TVET institutions in Malaysia. To improve the effectiveness of teaching and learning, this module is proposed as a pedagogical intervention that combines inventive problem-solving strategies with student learning choices. Five experts with extensive experience in TVET, curriculum and pedagogy of creativity and innovation participated in structured interviews as part of the study's qualitative methodology. The thematic analysis of interview transcripts had four main goals: (i) students' challenges in developing inventive problem-solving skills; (ii) the significance of identifying learning styles as entry points to cognitive processes; (iii) the role of inventive problem-solving skills as a crucial part of the Creativity and Innovation course; and (iv) the necessity of TRIZ-GP integrative modules to support lectures and boost student confidence. According to the study's findings, students still struggled to use organized mental processes, were terrified of making mistakes, and frequently turned to the student workers for assistance. In addition to supporting TRIZ theory and experiential learning, the TRIZ-GP module has the potential to be a cutting-edge pedagogical model that advances Malaysia's national TVET agenda by turning out graduates who are creative, competitive, and prepared to take on the challenges of the Industrial Revolution 4.0.

Biorest: Welding Arm Support Made from Galangal Fibre

2025-12-17T07:44:53+00:00

In the welding industry, one of the major issues that frequently reduces productivity and work quality is the presence of non-ergonomic working postures and muscle fatigue caused by prolonged tasks. These conditions not only affect welders’ performance but also contribute to musculoskeletal disorders. In response to the need for a more ergonomic and environmentally friendly support device, a new approach has been introduced through the development of an Adjustable Welding Arm Rest using galangal stem fibres as the primary material. This natural fibre was selected due to its availability, lightweight properties, and suitable mechanical strength for industrial applications. The objective of this study is to design and develop an adjustable arm support device and to evaluate the mechanical strength and durability of galangal fibres based on different weaving techniques. The development process includes Computer-Aided Design (CAD), prototype fabrication, and Charpy impact testing on three types of fibre weaves: shredded, braided, and twisted. The results show that the shredded weave achieved the highest average impact energy of 23 J, outperforming the other weaving techniques. This indicates that the shredded method yields the best impact resistance and is suitable for applications in lightweight structural components. The use of natural materials such as galangal fibres also reduces production costs and supports sustainable manufacturing practices. Overall, the Adjustable Welding Arm Rest made from galangal fibres has strong potential to serve as an alternative to synthetic materials while meeting contemporary ergonomic requirements in the welding industry.

Analyzing the Best Cutting Parameter Configurations for Acrylic and Plywood Materials with an 80W CO2 Laser Engraving and Cutting Machine

2025-12-17T07:53:36+00:00

CO₂ laser engraving and cutting machines is often popular among creative artists. The machine's ability to form logos, text, drawings, and much more allows artists to produce more complex artwork quickly. CNCKB Industry (CNCKB), a local machine manufacturer, has successfully produced several models of this machine to meet demand. However, research on the ideal parameters based on the workpiece material used and the cutting accuracy produced using this machine is limited. This study aims to identify the ideal parameters for cutting plywood and acrylic of different thicknesses and to determine the accuracy of the cutting results. A powerful 80W CO₂ laser engraving cutting machine was used to conduct this study. Basic circular shapes with diameters of 10 mm, 20 mm, 30 mm, 40 mm, and 50 mm were cut from 3 mm and 5 mm thick plywood and acrylic workpieces. The study findings indicate that the ideal cutting parameters for 3 mm plywood are a laser head speed of 20 mm/s with a laser power of 30%. For 5 mm thick plywood, the ideal cutting parameters are a laser head speed of 25 mm/s with 50% laser power. For acrylic workpieces, the ideal parameters for cutting 5 mm thick material are a laser head speed of 5 mm/s with 50% laser power. Meanwhile, for 3 mm acrylic, the laser head speed is 10 mm/s with a laser power of 30%. The study findings also show that the cutting accuracy for both materials is within a difference range of 97% to 99.7%. In conclusion, the ideal parameters for cutting plywood and acrylic materials depend on the thickness of the workpiece and the type of material used. Additionally, the cutting accuracy using the machine produced by CNCKB is in the range of 97% to 99.7% of the desired dimensional size.