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Technology Readiness Index (TRI) Pengguna Kompor Induksi di Indonesia (Studi Kasus: Pilot Project Konversi Kompor Gas LPG ke Kompor Induksi di Surakarta) Rizky, Dania Latifa; Damayanti, Retno Wulan; Laksono, Pringgo Widyo
Jurnal Sosioteknologi Vol. 24 No. 2 (2025): JULY 2025
Publisher : Fakultas Seni Rupa dan Desain ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/sostek.itbj.2025.24.2.4

Abstract

To reduce dependency on LPG imports, the Indonesian government, through PT PLN (Persero), is implementing a project to convert LPG gas stoves to induction stoves, utilizing the national electricity surplus and reducing the energy subsidy burden. This study measures the technology readiness level of induction stove users in Surakarta, specifically the Beneficiary Families (KPM), using the technology readiness index (TRI). The results show that the KPM's TRI value is 3.33, which falls into the moderate category, indicating that the KPMs are considered pioneers ready to adopt this technology. However, there are still concerns about the technology's performance not meeting their expectations. The academic contribution of this study lies in developing an understanding of the adoption of induction stove technology in Indonesia, particularly the technology readiness within the community. The practical implications suggest the need for communication and training strategies to alleviate users' anxieties. From a social, economic, and environmental perspective, stakeholders need to formulate policies that support this transition by considering energy sustainability, reducing dependence on fossil fuels, and improving community welfare.
The Effect of Eye Shape and the Use of Corrective Glasses on the Spatial Accuracy of Eye-Gaze-Based Robot Control with a Static Head Pose Suryadarma, Engelbert Harsandi Erik; Laksono, Pringgo Widyo; Priadythama, Ilham; Herdiman, Lobes; Suhaimi, Muhammad Syaiful Amri Bin
Journal of Robotics and Control (JRC) Vol. 6 No. 4 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v6i4.26229

Abstract

The integration of eye-gaze technology into robotic control systems has shown considerable promise in enhancing human–robot interaction, particularly for individuals with physical disabilities. This study investigates the influence of eye morphology and the use of corrective eyewear on the spatial accuracy of gaze-based robot control under static head pose conditions. Experiments were conducted using advanced eye-tracking systems and multiple machine learning algorithms—decision tree, support vector machine, discriminant analysis, naïve bayes, and K-nearest neighbor—on a participant pool with varied eye shapes and eyewear usage. The experimental design accounted for potential sources of bias, including lighting variability, participant fatigue, and calibration procedures. Statistical analyses revealed no significant differences in gaze estimation accuracy across eye shapes or eyewear status. However, a consistent pattern emerged: participants with non-monolid eye shapes achieved, on average, approximately 1% higher accuracy than those with monolid eye shapes—a difference that, while statistically insignificant, warrants further exploration. The findings suggest that gaze-based robotic control systems can operate reliably across diverse user groups and hold strong potential for use in assistive technologies targeting individuals with limited mobility, including those with severe motor impairments such as head paralysis. To further enhance the inclusiveness and robustness of such systems, future research should explore additional anatomical variations and environmental conditions that may influence gaze estimation accuracy.
Optimal PLA+ 3D Printing Parameters through Charpy Impact Testing: A Response Surface Methodology Suryadarma, Engelbert Harsandi Erik; Laksono, Pringgo Widyo; Priadythama, Ilham
Jurnal Optimasi Sistem Industri Vol. 23 No. 1 (2024): Published in July 2024
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (833.574 KB) | DOI: 10.25077/josi.v23.n1.p76-91.2024

Abstract

Additive manufacturing (AM) has revolutionized the manufacturing sector, particularly with the advent of 3D printing technology, which allows for the creation of customized, cost-effective, and waste-free products. However, concerns about the strength and reliability of 3D-printed products persist. This study focuses on the impact of three crucial variables—infill density, printing speed, and infill pattern—on the strength of PLA+ 3D-printed products. Our goal is to optimize these parameters to enhance product strength without compromising efficiency. We employed Charpy impact testing and Response Surface Methodology (RSM) to analyze the effects of these variables in combination. Charpy impact testing provides a measure of material toughness, while RSM allows for the optimization of multiple interacting factors. Our experimental design included varying the infill density from low to high values, adjusting printing speeds from 70mm/s to 100mm/s, and using different infill patterns such as cubic and others. Our results show that increasing infill density significantly boosts product strength but also requires more material and longer processing times. Notably, we found that when the infill density exceeds 50%, the printing speed can be increased to 100mm/s without a notable reduction in strength, offering a balance between durability and production efficiency. Additionally, specific infill patterns like cubic provided better strength outcomes compared to others. These findings provide valuable insights for developing stronger and more efficient 3D-printed products using PLA+ materials. By optimizing these parameters, manufacturers can produce high-strength items more efficiently, thereby advancing the capabilities and applications of 3D printing technology in various industries.
Systematic Review of Kansei Engineering Method Developments in the Design Field Hakim, Afif; Suhardi, Bambang; Laksono, Pringgo Widyo; Ushada, Mirwan
Jurnal Optimasi Sistem Industri Vol. 23 No. 1 (2024): Published in July 2024
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (774.283 KB) | DOI: 10.25077/josi.v23.n1.p92-108.2024

Abstract

Kansei engineering is a critical method for designing products that meet functionality, usability, and pleasurability, essential elements for business success. Despite its significance, there is limited understanding of how this method has evolved in recent years. This study aims to analyze the development of Kansei Engineering research from 2018 to 2022 using the Scopus database. The research methodology involved stages of identification, screening, filtering, and inclusion, resulting in 41 articles for detailed analysis out of an initial 215. The results indicate that 85% of Kansei Engineering research focuses on tangible products, with 83% categorized as type 1 studies, and 56% not integrating other methods. Additionally, 88% of the studies use only Kansei words, and 41% visualize design results as 3D images, with 95% not considering unique aspects. is dominance of tangible product design and the lack of integration with other methods suggest a need for diversification in research approaches. Furthermore, the high reliance on Kansei words and 3D visualizations points to a potential area for innovation and expansion in research techniques. This review highlights a significant research gap in Kansei Engineering studies, emphasizing the need for more diversified approaches. By identifying these gaps, the study provides a clear direction for future research, recommending that Kansei Engineering should explore beyond the predominant trends and consider integrating with other methods and unique aspects. This can enhance the method's application in industrial engineering and lead to more comprehensive and innovative product designs. Future research should aim to fill these gaps, ensuring that Kansei Engineering continues to evolve and contribute effectively to the field of product design and development.
Predictive Model Approach to Enhancing Occupational Health Based on Safety Culture and Sustainable Technology in Environmental, Social, and Governance Febiyani, Anastasia; Suhardi, Bambang; Laksono, Pringgo Widyo; Prastawa, Heru
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 8 No. 9: SEPTEMBER 2025 - Media Publikasi Promosi Kesehatan Indonesia (MPPKI)
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v8i9.7675

Abstract

Introduction: Occupational safety and health (OSH) is a key pillar in creating a productive and sustainable work environment, especially in the high-risk manufacturing sector. As global demands for Environmental, Social, and Governance (ESG) principles increase, the integration of safety culture and sustainable technology is an important strategy to strengthen the protection of workers' health while supporting industrial sustainability. Method: A quantitative approach was used by distributing questionnaires to 200 workers from various categories of manufacturing industries. The analysis used included correlation tests, multiple linear regression, and scenario simulations of technological improvements and recycling efficiency of personal protective equipment. Result: The main variables analyzed were discipline in wearing PPE, consistency, reward-punishment, and the application of wearable technology and environmentally friendly PPE. The regression results show that the discipline of using PPE is the most significant factor in shaping occupational safety culture (p = 0.001). Although the technology and reward variables are not statistically significant, the simulation shows that increased investment in safety technology can accelerate the growth of safety culture and indirectly strengthen occupational health protection.The implementation of sustainability principles, such as the use of environmentally friendly PPE materials and recycling programs, is also proven to reduce the impact of industrial waste and contribute to the Environmental aspect of ESG. Conclusion: While lowering the effect of industrial waste, the simulation reveals that higher investment in technology and recycling efficiency might hasten the change of safety culture from reactive to proactive. This study theoretically expands the safety culture approach to be more predictive and sustainable under the ESG framework, so improving its sustainability. Practically, these results give a basis for industrial policies to create OSH strategies compatible with digital transformation and world sustainability goals.