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Engineering Science Letter
Published by Indonesian Institute of Science and Technology Research
ISSN : 29618924     EISSN : 2961872X     DOI : https://doi.org/10.56741/esl.v1i02
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Engineering Science Letter is an international peer-reviewed letter that welcomes short original research submissions on any branch of engineering, computer science, and technology, as well as their applications in industry, education, health, business, and other fields. Artificial intelligence, image processing, data mining, data science, bioinformatics, computational statistics, electrical engineering, electronics engineering, telecommunications, hardware systems, industrial automation, industrial engineering, fluids and physics engineering, mechanical engineering, chemical engineering, and their applications are among the engineering and computer science topics covered by the journal. All papers submitted will go through a peer-review process to ensure their quality. Submissions must contain original research and contributions to their field. The manuscript must adhere to the author’s guidelines and have never been published before.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 2 No. 01 (2023): Engineering Science Letter" : 5 Documents clear
Measuring Worker Perception on Remote Working Adoption During COVID-19 Pandemic: An Industrial Engineering Perspective: A Case Study in Indonesia for Identifying the Potential New Normal of Work Implementation Tanika D Sofianti; Ivan Kurniawan; Aditya T Pratama; Jessica Florencia
Engineering Science Letter Vol. 2 No. 01 (2023): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v2i01.239

Abstract

The COVID-19 which started in late 2019 has led to extraordinary measures by government and commerce, to control and reduce the spread of the virus. Many companies have had to rethink the way they work due to travel restrictions and cancellations of major events. While workers related to production activities as well as system-related workers such as bank tellers, cashiers, medical staff, and distribution operators are still working on site, the majority of the workforce in Indonesia has been encouraged to practice "working from home" or remote working during the pandemic. Remote Working means adapting to new circumstances, battling a new set of distractions, as well as experiencing an unprecedented mix of work and personal life. Committing to work from home without understanding performance indicators and drivers can lead to a company's operational failure. Even though the COVID-19 pandemic measures are decreasing, the need to implement a new normal of work that allows for flexible work arrangements and implementation of remote work is increasing. Therefore, the organization needs to understand and control the measures required to keep the company productive in the new work setting. This is important to maintain organizational resilience against any pandemics and technological disruptions, as well as to ensure organizational sustainability. Seven performance indicators of remote work performance and eight influencing factors have been compiled in this study by reviewing previous research on remote work, virtual teamwork, agile teamwork and knowledge management. Further studies are needed to verify the performance indicators and influencing factors, to reveal the correlations between the measures and to identify the most likely drivers of remote work that may transform an organization to its new setting.
Exploring the Benefits and Challenges of Artificial Intelligence (AI) in Nursing Cyril B. Romero; Oscar Agyemang Opoku; Sitti Syabariyah; Dhesi Ari Astuti; Iqra Asif; Rostinah
Engineering Science Letter Vol. 2 No. 01 (2023): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v2i01.278

Abstract

This paper discusses the trend of AI (Artificial Intelligence) and its role in the healthcare industry. AI is being used to improve efficiency and effectiveness in healthcare. Still, challenges remain, such as privacy and data protection and healthcare workers' hesitancy to replace their work with technology. This study aims to see opportunities for using AI in the health sector and understand existing problems, such as barriers to significant initial investments. This study uses a qualitative approach and focuses on the author's understanding based on secondary sources and personal experience. The study results show that AI can assist health workers in making diagnoses and providing more efficient health services. However, it still has to be used as a tool and cannot replace the role of health workers as a whole.
Lobe Software's Accuracy in Analyzing Human Facial Expressions: Accuracy of Using Lobe Software in Analyzing Human Facial Expressions Hamzarudin Hikmatiar; Adi Jufriansah; Jayadin
Engineering Science Letter Vol. 2 No. 01 (2023): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v2i01.288

Abstract

 The face constitutes a research subject for analyzing human facial expressions, as it can provide insights into an individual's emotions. Facial expressions are identified through changes in key facial features such as the eyes, eyebrows, mouth, and forehead. The field of education has witnessed rapid technological advancements, especially in light of the pandemic. Consequently, the need for the development of technology has become increasingly pressing. This study aims to evaluate the accuracy of Lobe software in analyzing human facial expressions. The sample population for this research comprised students from IKIP Muhammadiyah Maumere, Indonesia, with a sample size of 19 selected using a simple random sampling method. The results of the analysis showed that the accuracy of the software was pretty good, with a score of 90% for each category of neutral, sad, happy, and angry faces. The questionnaire data analysis yielded a score of 84%, which is only 6% lower than the score achieved through the students' self-reporting, implying an error rate of less than 10% if validated.
Revolutionizing Healthcare with 3D/4D Printing and Smart Materials Isaac John Ibanga; Onibode Bamidele; Cyril B. Romero; Al-Rashiff Hamjilani Mastul; Yamta Solomon; Cristina Beltran Jayme
Engineering Science Letter Vol. 2 No. 01 (2023): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v2i01.291

Abstract

3D printing technology has revolutionized the way products are manufactured, and it has opened up new possibilities in the field of smart materials. Smart materials are materials that can change their properties in response to external stimuli, such as temperature, pressure, or light. By combining 3D printing technology with smart materials, highly customizable and responsive products are created. The addition of the time dimension to 3D printing has introduced 4D printing technology, which has gained considerable attention in different fields such as medical, art, and engineering. To bridge the gap in knowledge of 4D, this paper assessed the revolution in healthcare with 3D/4D printing and smart materials. Data was generated as part of a broader empirical study which sought to explore healthcare personnel and electrical engineers’ perception on the practices around the use of 3D/4D printing technology and smart materials. The main method used was structured interviews. 12 participant were purposively selected and interviewed including healthcare personnel and electrical engineers form Philippines and Nigeria. The findings reveal an array of activities undertaken using both 3D and 4D. Furthermore, the study revealed that 4D printing is a new generation of 3D printing. Another aspect of the 3D usage is the integration of electrical stimulation and smart implant as a new area of study in healthcare. 3D could also be used to monitoring the smart implant performance. The study also evaluate the possibility of using Internet of things (IoT) in the smart implant as some device embeds smart materials. Smart implant commonly used includes orthopedic applications, such as knee and hip replacement, spine fusion, and fracture fixation. The smart materials used in this technology are important because 3D printing allows printed structures to be dynamic. The paper highpoints is that 4D printing has great potential for the future.
LSB Steganography to Embed Creator's Watermark in Batik Digital Arts Muhammad Miftahul Amri; Mahamadaree Waeno; Muhammad Zain Musa
Engineering Science Letter Vol. 2 No. 01 (2023): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v2i01.301

Abstract

This paper presents an implementation of Least Significant Bit (LSB) steganography to embed a hidden watermark in batik digital images. The goal of the technique is to provide a means of protecting the intellectual property of creators of batik digital arts while still allowing the images to be freely distributed and shared. The study demonstrates the effectiveness of the technique by showing that the embedded watermark is not visible to the human eye and does not significantly alter the quality of the image. The proposed technique uses the LSB method to embed a watermark in the binary data of the batik digital image. This method involves replacing the least significant bit of the image's pixel values with the bits of the watermark, thus altering the binary data of the image without causing noticeable changes in its visual appearance. The embedded watermark can only be detected by a decoding process, making it difficult to be removed or tampered with. The results of the study show that the implemented LSB steganography technique is successful in achieving its objective. The technique is able to effectively embed a hidden watermark in batik digital images without significantly altering the image quality or causing visual artifacts. This work highlights the potential of LSB steganography as a valuable tool for protecting the intellectual property of digital art creators, particularly in the field of batik images. Overall, this study contributes to the growing body of research on steganography and digital media protection. The successful implementation of the LSB steganography technique provides a promising approach for safeguarding the intellectual property of creators in the digital arts industry. Future research may explore other steganography techniques to address potential vulnerabilities and limitations of the LSB method.

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