bluuebunny/crossref_metadata_2025 huggingface dataset:
Black-box Dehazing Network via Joint Loss Function
Authors: Zhang Jian , Zhao Guang , Song Wanjuan , Xu Zhiyan
Published: May 2024

Single image dehazing is a notoriously challenging task in image processing due to the numerous unknown factors involved. Most existing dehazing methods are based on physical models of the haze formation process. However, real-world haze scenes cannot be accurately mathematically modeled due to the existence of various unquantifiable factors in the scene. Therefore, the dehazing methods based on physical models often perform poorly in complex haze scenes. In this paper, we propose a novel black-box dehazing equation. In this equation, the haze is modelled as an additional image interference layer, without explicitly reasoning about the physical model of haze formation. The dehazing process is modelled as removing this image interference layer. Based on this equation, we propose a novel network architecture called the Black-box Dehazing Network (BDN). Moreover, we propose a joint loss function for training this network. The joint loss function not only evaluates pixel-level differences between the dehazed image and the haze-free image, but also measures differences in texture, color, and structure between the hazy image and its corresponding dehazed version as well as those between the hazy image and its haze-free version. In training, BDNet is only fed pairs of haze-free images and their corresponding hazy images. The corresponding hazy patches are generated on-the-fly during network training. Experimental results demonstrate that the proposed method has the advantage of universality and outperforms existing state-of-the-art dehazing methods.
The Impact of Supply Chain Information Sharing Capability on its Performance: Mediating Role of Agility and Adaptability
Authors: Sharma Hemant
Published: May 2024

In the present turbulent market situation, building strategic information sharing (SIS) capability among the partner firms of a supply chain is imperative to create the agility and adaptability which further lead to the supply chain performance (SCP). In the available literature, combined role of agility and adaptability and their impact on SCP is poorly investigated. As a rapidly changing market environment requires the supply chains to be more responsive and flexible, supply chain agility and adaptability appear to be value-enhancing and contribute to its effectiveness. Following the resource-based views (RBV) and relational theory this study presents a model linking SIS capability, agility, and adaptability with SCP. A cross-sectional survey of 243 Indian auto component manufacturers was conducted to collect the data. The results reveal that SIS, agility, and adaptability are directly and significantly connected with SCP. This finding supports the prominently published studies. The main contribution of the study is unveiling the mediation effect of agility and adaptability on the SIS-SCP relationship. Results depict that agility and adaptability mediate the SIS-SCP relationship fully and partially respectively. The study also discusses the theoretical and managerial implications along with limitations and scope for future research.
A study of the effects of SiN treatment on the GaN refractive index
Authors: Chalabi Waten , Laifi Jihed , Bchetnia Amor , Tamzin
Published: May 2024

In the present study, both the GaN buffer layer approach and the sapphire SiN treatment method were used to develop GaN films by metalorganic chemical vapor deposition (MOCVD) on a c-plane (0001) sapphire substrate. The growth was controlled in situ by 632.8 nm laser reflectometry. The GaN-grown layer structure was investigated via high-resolution X-ray diffraction (HRXRD). The GaN structural properties improved upon SiN treatment. In addition, spectroscopic transmittance was used to determine the change in the bandgap energy of GaN upon SiN treatment. Spectroscopic ellipsometric (SE) data (ψ and Δ) acquired in the wavelength range 400–1700 nm, were analyzed using a multilayer approach. The extracted refractive indices were found to follow a Cauchy-type dispersion. Upon SiN treatment, there is a blueshift and a decrease in the refractive index. At 600 nm, the GaN refractive index decreases from 2.395 to 2.374. The SE refractive indices measurements agree with the spectroscopic reflectometry (SR) results.
Knowledge, Attitude and Practice of Breast self-examination among the Nursing students, UAE
Authors: Joseph Veena M. , Elmahdy Masani , Jakvani Sahar , Yusuf Shaikha , Saleh Hadil
Published: May 2024

Introduction
Breast cancer (BC) is one of the most common cancers and is the main cause of cancer-related deaths in women globally. Breast cancer awareness and early detection depend heavily on breast self- examination (BSE). It is an easy and economical procedure that enables people to keep track of their own breast health and possibly detect unhealthy changes in the breast tissue.
Objectives of the study
· To assess the knowledge on breast self-examination
· To determine the attitude towards breast self-examination.
· To assess the practice of breast self-examination
· To Correlate Knowledge, Attitude and Practice of breast self-examination
· To associate selected demographic variables with the knowledge and attitude of breast self-examination
Methods
A quantitative research approach with a descriptive cross-sectional research design was used to assess the knowledge, attitude and practice of breast self-examination among 100 nursing students studying in Gulf Medical Univerisity who were selected using the total enumeration technique.
Results
Sixty-seven percent of participants were found to have good knowledge of BSE, while the other 33% had poor knowledge. Fifty-four percent of participants had a positive attitude towards BSE. Only thirty-nine percent of them had practiced breast self-examination. The correlation analysis revealed a weak negative correlation with a Pearson correlation coefficient of -0.189, although the relationship was not statistically significant (p > .05).
Conclusion
This study revealed good knowledge and positive attitudes but poor practices of breast self-examination among the Nursing students. The necessity is to develop training programs that enhance awareness about the significance of practicing Breast self-examination (BSE).
Design and implementation of advanced Techniques in Synchronous Sequential Circuit Design
Authors: Chaturvedi Kushagra , Ramesh K B
Published: May 2024

This paper explores advanced techniques for optimizing efficiency in synchronous sequential circuit design. Synchronous sequential circuits play a crucial role in digital systems, and enhancing their efficiency is paramount for achieving higher performance and lower power consumption. We delve into the difference and the advantages of multiphase clocking over single phase clocking like reduced conductor size etc. state minimization techniques to a specific sequential circuit design reduced the number of flip-flops by 20%, leading to an estimated 15% reduction in power consumption and implementing clock gating techniques in a sequential circuit design resulted in a 30% reduction in dynamic power consumption during idle periods. Through comprehensive analysis and experimentation, we demonstrate the effectiveness of these techniques in improving circuit performance and reducing resource utilization. Our findings provide valuable insights for designers seeking to push the boundaries of efficiency in digital circuit design.
Negative Photo Conductivity Triggered with Visible Light in Wide Bandgap Oxide-Based Optoelectronic Crossbar Memristive Array for Photograph Sensing and Neuromorphic Computing Applications
Authors: Kumar Dayanand , Li Hanrui , Singh Amit , Rajbhar Manoj Kumar , Syed Abdul Momin , Lee Hoonkyung , El-Atab Nazek
Published: May 2024

Photoresponsivity studies of wide-bandgap oxide-based devices have emerged as a vibrant and popular research area. Researchers have explored various material systems in their quest to develop devices capable of responding to illumination. In this study, we engineered a mature wide bandgap oxide-based bilayer heterostructure synaptic memristor to emulate the human brain for applications in neuromorphic computing and photograph sensing. The device exhibits advanced electric and electro-photonic synaptic functions, such as long-term potentiation (LTP), long-term depression (LTD), and paired pulse facilitation (PPF), by applying successive electric and photonic pulses. Moreover, the device exhibits exceptional electrical SET and photonic RESET endurance, maintaining its stability for a minimum of 1200 cycles without any degradation. Density functional theory calculations of the band structures provide insights into the conduction mechanism of the device. Based on this memristor array, we developed an autoencoder and convolutional neural network for noise reduction and image recognition tasks, which achieves a peak signal-to-noise ratio of 562 and high accuracy of 84.23%, while consuming lower energy by four orders of magnitude compared with the Tesla P40 GPU. This groundbreaking research not only opens doors for the integration of our device into image processing but also represents a significant advancement in the realm of in-memory computing and photograph sensing features in a single cell.
Selecting lubricating oil for two-stroke gasoline engines: a multi-criteria decision-making approach
Authors: Mai Nguyen Trong , Thinh Hoang Xuan
Published: May 2024

The two-stroke engine boasts advantages in terms of simpler manufacturing and a smaller size when compared to the four-stroke engine. Vehicles powered by two-stroke engines can thus effortlessly overcome road obstacles compared to their four-stroke counterparts. However, the use of a two-stroke engine results in higher carbon monoxide and hydrocarbon emissions than that of a four-stroke engine. This discrepancy places greater demands on the selection of lubricating oil for two-stroke engines compared to four-stroke engines. In market, there exists a multitude of lubricating oil options tailored for two-stroke engines, each characterized by varying technical parameters. These disparities are expressed through factors such as density, viscosity index, viscosity, and combustion temperature, among others. Consequently, the task of choosing the optimal lubricant becomes a complex endeavor for consumers. In this study, an examination of lubricant selection is presented using a Multi-Criteria Decision-Making (MCDM) approach. The MCDM method employed in this article is the Combined Compromise Solution (COCOSO) method. The selection of the best lubricant is based on an evaluation of four distinct types. Each type of oil is described by four key parameters (criteria): density, viscosity index, viscosity at 100 °C, and viscosity at 40 °C. The weights for these four criteria are determined through three different methods, including the Entropy method, Criteria Importance Through Intercriteria Correlation (CRITIC) method, and Standard Deviation (SD) method. Thus, the ranking of lubricants is conducted three times, corresponding to these three weighting methods. The results indicate that the best oil choice remains consistent regardless of the weighting method applied
Systematic development of an autonomous robotic car for fire-fighting based on the interactive design approach
Authors: Alwan Omar Hussein , Alshekhly Mohammed N. Abdulrazaq , Al-Aloosi Raghad Ahmed , Fakhri Osamah F. , Aljibori Hakim S. Sultan , Abdullah Oday I.
Published: May 2024

Fire incidences are classed as catastrophic events, which mean that persons may experience mental distress and trauma. The development of a robotic vehicle specifically designed for fire extinguishing purposes has significant implications, as it not only addresses the issue of fire but also aims to safeguard human lives and minimize the extent of damage caused by indoor fire occurrences. The primary goal of the AFRC is to undergo a metamorphosis, allowing it to operate autonomously as a specialized support vehicle designed exclusively for the task of identifying and extinguishing fires. Researchers have undertaken the tasks of constructing an autonomous vehicle with robotic capabilities, devising a universal algorithm to be employed in the robotic firefighting process, and designing a fuzzy controller algorithm that can be used in all expected scenarios. The use of a fuzzy logic algorithm in this design demonstrates the usefulness of this system, all factors are involved in which cases are previously identified and taught, as well as the overall map of the premises have been uploaded so that the system can identify the exact place of the fire source, and two types of fire have also been examined. When the performance of the foam pump, water pump, and robotic car motors is compared to the data from the flam sensor, temperature sensor and GPS data, it demonstrates a high responsiveness in terms of applying the appropriate approach based on the type of fire due to the probable action for which the system has been trained. This will have the benefit of shortening the required process for fire extinguishment and using the appropriate fire extinguishing tools. This technology may be used to put out flames, deploy in different areas, and handle a variety of fire scenarios inside buildings
Analysis of the development process of deposits with fractured-porous reservoirs based on the Gini coefficient application
Authors: Abbasova Samira , Mammadova Gulbahar
Published: May 2024

Currently, solving the problems of choosing a strategy for managing the process of oil deposits development with fractured-porous reservoirs is associated with a number of difficulties due to changes in the filtration and capacitance characteristics of the formations along the section and area, the presence of nonequilibrium effects, insufficient geological and field information, and the complexity of technological processes of offshore oil production etc. In this regard, increasing attention is being paid to the use of methods that make it possible to analyze the processes occurring in formation systems by processing indirect but accessible information, for example, flow rates of individual wells, production from areas and horizons, etc.
The article discusses the problems of diagnosing the state of development of oil deposits with fractured-porous reservoirs and the principles of process regulation based on the cybernetic approach to the analysis of geological field information by an indirect method, such as analysis of the Gini coefficient.
The Gini coefficient is used in economics to measure inequality in the distribution of a society's total income and the standard of living of different segments of the population. By analogy, it was used to determine the inequality in the distribution of oil and water withdrawals among the wells of the field under consideration during different periods of development. It has been established that the use of the Gini coefficient when interpreting geological and field information significantly increases the reliability of diagnosing the current state of the development process, which allows timely to make decisions on regulating the technological process.
Based on a dynamic approach to the analysis of geological and field data, the article proposes principles for managing the development process of a fractured-porous reservoir of the oil field in question. The proposed analysis method for managing the process of developing oil deposits with fractured-porous reservoirs had good adaptation in the process of developing the field in question
Does social support and work-life conflict moderate the influence of job stress on job performance? (A study at Syiah Kuala University)
Authors: Ibrahim Mahdani , Roli Ilhamsyah Putra Teuku , Suryani Irma
Published: May 2024

The performance of employees within an organization is intricately linked to various psychological factors they encounter. Job stress, social support, and work-life conflict emerge as pivotal elements in enhancing job performance. This study endeavors to examine the impact of job stress on job performance, taking into account social support and work-life conflict as moderating factors. Data were gathered through questionnaires distributed to a sample of 275 administrative employees at Syiah Kuala University, Indonesia. Analysis was conducted using Structural Equation Modeling (SEM) via Partial Least Squares (PLS) statistical software. The findings indicate that job stress did not significantly affect job performance (p = 0.382 > α = 0.05), whereas social support emerged as a significant moderator (p = 0.001 < α = 0.05). However, work-life conflict did not demonstrate significance as a moderator in the relationship between job stress and job performance (p = 0.866 > α = 0.05). In conclusion, the study suggests that job stress indeed influences job performance, whereas the moderating effect of work-life conflict on the relationship between job stress and job performance remains unproven. Conversely, social support is confirmed as a significant moderating factor in the influence of job stress on job performance.
The Response of Higher Educational Institutions to Sustainability Challenges in Hungary
Authors: Mikáczó Andrea , Dióssi Katalin
Published: May 2024

Higher Educational Institutions can not avoid sustainability issues as related steakholder demands are becoming ever dynamic. Generation Z places greater emphasis on environmental and social sustainability than any previous generations. As a result, during university admissions, green rankings (Green-Metric Ranking of World Universities, Times Higher Education Impact Ranking) are getting increasingly emphasized. In Western Europe, the ESG model (Environment, Social and Governance) has already been included in the curriculum of numerous university programs, acknowledging the importance of the topic, while this endeavor is still in its in-fancy in the universities of Central and Eastern Europe. Even in the medium term, ESG development has a serious positive impact on the financial performance, stakeholder satisfaction and health of institutions, as well as their standing in university rankings. The topics of the GreenMetric world ranking are closely related to the areas to be measured in the ESG processes, so participation in the two processes can develop in an intertwined manner. Our study shows how the effectiveness of the GreenMetric and Times Higher Education world rankings among Hungarian higher educational institutions develops, why institutions choose to be listed, and what results the institutions aim to achieve.
Exploring Deep Learning Approaches for Ransomware Detection: A Comprehensive Survey
Authors: Gurumallu Prasanna Kumar , Dembala Rajeshwari , Gowda Darshini Yoge , Makanahalli Annaiah Ajay Kumara , Vasanth Kumar Manoj Kumar Muttyal , Gohel Hardik
Published: May 2024

:

Ransomware, a form of malicious software originating from cryptovirology, poses a
serious threat by coercing victims to pay a ransom under the risk of exposing their data or permanently
restricting access. While basic ransomware may lock a system without causing harm
to files, more sophisticated variants utilize cryptoviral extortion techniques. The danger of ransomware
is significant, with ongoing discoveries of new strains and families on the internet
and dark web. Recovering from ransomware infections is challenging due to the complex encryption
schemes employed. The exploration of machine learning and deep learning methods
for ransomware detection is crucial, as these technologies can identify zero-day threats. This
survey delves into research contributions on the detection of ransomware using deep learning
algorithms. With deep learning gaining prominence in cybersecurity, we aimed to explore
techniques for ransomware detection, assess weaknesses in existing deep learning approaches,
and propose enhancements using those deep learning algorithms. Machine learning algorithms
can be employed to tackle worldwide computer security challenges, encompassing the detection
of malware, recognition of ransomware, detection of fraud, and identification of spoofing
attempts. Machine learning algorithms play a crucial role in assessing prevalent forms of cyber
security risks. They are instrumental in identifying and mitigating attacks, conducting vulnerability
scans, and evaluating the risks associated with the public internet. By leveraging machine
learning, computer defense mechanisms can effectively identify and respond to various cyber
threats. These techniques aid in fortifying systems against potential vulnerabilities and enhance
the overall security posture. Research in this field investigates the utilization of cyber training
in both defensive and offensive contexts, offering insights into the intersection of cyber threats
and machine learning techniques.
Food Biotechnology – Future Prospective in Food Biotechnology
Authors: Samrot Antony V. , Rajalakshmi D. , Bavanilatha M.
Published: May 2024

The development of biotechnology has led to improvements in the
nutritional value and quality of foods consumed by humans, thereby benefiting their
health. Globally, foods developed through biotechnology are heavily studied and
judged by governments, health authorities, and scientists. By applying food
biotechnology, we can reduce the number of naturally occurring poisons and allergies
in food. Food biotechnology can be used by farmers and food producers to provide a
safe, convenient, and affordable food supply posing new challenges and opportunities
for the prevention of disease. It mainly involves the use of genes from plants, microbes,
and animals with a view to enhance productivity and nutritional benefits. The
interdisciplinary field of food biotechnology employs modern biotechnology principles
to produce, process and manufacture foodstuffs. A variety of tools are used in food
biotechnology, including traditional breeding methods such as cross-breeding. There
are also various modern techniques including genetic engineering which increase the
yield. The aim of food biotechnology is to increase the crop yield for the welfare of
farmers and to provide nutritional foods for people around the world. There are various
concerns associated with the development of food biotechnology. In this paper, the
future prospects of food biotechnology are discussed.
Potential and Challenges of Applied Biotechnology in the Plant-Based Food Industry
Authors: Nguyen Duc-Vuong , Dam Sao-Mai
Published: May 2024

Recently, many advances in plant-based food biotechnology are a wideranging science that uses modern technologies to produce food products.
Biotechnologists and food scientists' new instruments, methods, industry, and products
enhance taste, shell life, nutrition, and food quality. Food biotechnology is as ancient as
civilization, via fermentation, to produce food products such as beer, wine, vinegar,
sauce, fermented vegetables, etc. Besides that, genetically modified (GM) yeasts and
bacteria are used to enhance the products' quality and produce enzymes for improving
the quality of plant-based food products. This chapter summarizes the roles and some
of the applications of biotechnology in plant-based food processing and food
preservation.
Synthesis, Characterization and Analysis of Green Nanoparticles
Authors: Kumar Nirantak , Ahlawat Savita
Published: May 2024

The chapter focus on detailed information regarding all recently adopted
methods for synthesis of green nanoparticles such as Biological synthesis, Coprecipitation method, Template synthesis, Hydrothermal technique, Microwave
assisted synthesis, Inert gas condensation, Laser ablation method, Micro-emulsion
technique, Spark discharge method and Sputtering etc. Along with their advantages and
disadvantages. Biological methods of synthesis have been described extensively here to
synthesise environmental friendly nanoparticles with economical costs. Biological
synthesis has been shown by using bacteria, fungi and yeast etc. Along with methods,
this chapter gave detailed description about various spectral and analytical techniques
such as FTIR, SEM, TEM, XRD, EDX, UV-Visible spectroscopy etc.
Development of Web-Based Interactive 3-Dimensional Learning Media for Computer Assembly Materials for Students of Class X TKJ at SMK Negeri 1 Bantul
Authors: Istiqomah Nisma Fauziyah , Priyanto
Published: May 2024

This research aims to: (1) Develop web-based interactive 3-dimensional learning media products on computer assembly materials for class X students majoring in Computer Network Engineering at SMK Negeri 1 Bantul. (2) Determine the feasibility of web-based interactive 3-dimensional learning media in computer assembly material for class X students majoring in Computer Network Engineering at SMK Negeri 1 Bantul. The research is using the Research and Development (R&D) method. The research subjects were 71 students of class X Computer and Network Engineering at SMK Negeri 1 Bantul. The feasibility assessment of learning media was carried out by one material expert and one media expert, each of whom were computer assembly material teachers and expert lecturers. The instrument used in this research is a questionnaire. Data analysis technique using descriptive analysis techniques through percentage techniques. The results showed that: (1) web-based interactive 3-dimensional learning media on computer assembly material for class X TKJ SMK Negeri 1 Bantul can be well developed, (2) The feasibility test of material aspects by material experts obtained 83.8% results in the category "very feasible", the media aspect obtained 78.3% results with the "very feasible" category, and student testing (respondents) obtained 86.5% results with the "very feasible" category. This shows that web-based interactive 3-dimensional learning media is very feasible to use in learning computer assembly material.
KESIAPAN SMK NEGERI DALAM IMPLEMENTASI KURIKULUM MERDEKA
Authors: Fatah Amir
Published: May 2024

KESIAPAN SMK NEGERI DALAM IMPLEMENTASI KURIKULUM MERDEKA  Amir Fatah, Kir Haryana, Yoga Guntur S,Muhammad Agung Wicaksono, Bahrul Ulum,  M. Khoirunnashikin, Yohanes Kusyudi Setiawan,  Musthafa Bintang Harapan, Dimas Bayu Permadi  Yogyakarta State UniversityYogyakarta, Indonesiahttps://orcid.org/0000-0002-8995-8981  Penelitian ini merupakan penelitian survey yang dilakukan karena adanya kebijakan secara nasional yaitu pemberian tiga opsi kurikulum yang dapat diterapkan satuan pendidikan dalam pembelajaran, yaitu kurikulum 2013, kurikulum darurat, dan kurikulum  merdeka yang sebelumnya dikenal dengan sebutan kurikulum prototipe. Survey dilakukan untuk mengetahui kesiapan guru dalam mengembangkan dan menerapkan kurikulum dari aspek pengetahuan terhadap hal hal baru pada kurikulum merdeka, pengetahuan dalam mengembangkan kurikulum dan pengetahuan dalam implementasi kurikulum.  Pengumpulan data dilakukan menggunakan angket yang diperkuat dengan wawancara dan analisis data menggunakan metode deskriptif. Populasi penelitian adalah guru SMK se-Kabupaten Gunungkidul, sementara sampel penelitian difokuskan pada empat SMKN yang dipilih  dengan pertimbangan tertentu (purposive sampling). Responden penelitian berjumlah 44 guru yang tersebar di empat SMKN non pusat keunggulan. Hasil penelitian menunjukkan kesiapan guru dalam  implementasi kurikulum merdeka dari aspek pengetahuan terhadap hal hal baru pada kurikulum merdeka telah mencapai kategori tinggi, demikian halnya pengetahuan dalam mengembangkan kurikulum dan pengetahuan dalam implementasi kurikulum. Tingginya capaian tersebut sebagai hasil rencana implementasi kurikulum  yang disusun dan dilaksanakan oleh Kemendikbudristek, sikap guru terhadap rencana implementasi, dukungan kepala sekolah, dukungan teman sejawat, ketersediaan pedoman dan peraturan implementasi, dan adanya motivasi guru. Penelitian juga menunjukkan bahwa kemampuan guru dalam mengembangkan modul ajar perlu ditingkatkan. Kata Kunci : Kesiapan, Implementasi, Kurikulum, Merdeka
PENGEMBANGAN MODUL PEMBELAJARAN SISTEM BAHAN BAKAR EFI TOYOTA AVANZA DI SMK MUHAMMADIYAH MLATI
Authors: Ikhsan Ikhsan , Rabiman Rabiman , Johan Arif Bintoro , Rentas Jhonni
Published: May 2024

Penelitian ini bertujuan untuk mengembangkan modul sistem EFI dan mengetahui kelayakannya sebagai bahan ajar pada mata pelajaran PMKR kelas XI Jurusan TKR SMK Muhammadiyah Mlati Tahun Pelajaran 2021/2022. Penelitian ini merupakan jenis penelitian dan pengembangan atau RD. Desain penelitian yang digunakan pada penelitian ini yaitu model 4-D yang terdiri dari 4 tahapan, yaitu tahap pendefinisian, perancangan, pengembangan, dan diseminasi. Teknik pengumpulan data dilakukan dengan observasi dan lembar angket. Instrumen yang digunakan yaitu angket tertutup yang diajukan kepada ahli materi, ahli media, dan siswa sebagai responden. Teknik analisis data yang digunakan yaitu analisis kuantitatif untuk mengetahui persentase kelayakan  modul. Hasil penelitian berupa sebuah modul yang memiliki spesifikasi: (1) Kata Pengantar, (2) Daftar Isi, (3) Daftar Gambar, (4) Peta Kedudukan Modul, (5) Isi, (6) penutup. Pengaturan modul: (1) Ukuran Kertas: A4 70gr, (2) Halaman Sampul: Hardcover, (3) Spasi: 1.5, (4) Margins atas: 4cm, kiri: 4cm, kanan: 3cm, bawah: 3cm. Hasil penelitian terhadap kelayakan modul oleh ahli materi memperoleh rerata skor 4,92 atau 98,32% dengan kategori sangat layak. Hasil penilaian kelayakan modul oleh ahli media memperoleh rerata skor 3,86 atau 77,24% dengan kategori layak, dan hasil penilaian modul oleh peserta didik memperoleh rerata skor sebesar 3,99 atau 79,97% dengan kategori layak. Sehingga modul  Sistem Bahan Bakar Bensin EFI layak digunakan sebagai bahan ajar.
PENGEMBANGAN MEDIA BOOKLET PMKR MOTOR DIESEL KELAS XI TKRO SMK NEGERI 2 WONOSARI
Authors: Pamungkas Vendi Dwi , Budiman Agus
Published: May 2024

Penelitian ini bertujuan untuk: (1) Melakukan pengembangkan booklet Pemeliharaan Mesin Kendaraan Ringan materi Motor Diesel untuk kelas XI di SMK Negeri 2 Wonosari; (2) Mengetahui kelayakan media Booklet; (3) Mengetahui efektifitas media pembelajaran Booklet. Penelitian dilakukan dengan menggunakan metode penelitian dan pengembangan atau (Research and Development). Model penelitian yang digunakan adalah ADDIE models yang terdiri dari lima tahapan, yaitu: (1) Analysis (Analisis); (2) Design (Desain); (3) Develop (Pengembangan); (4) Implementation (Implementasi); (5) Evaluation (Evaluasi). Penelitian ini menghasilkan: (1) Pengembangan media booklet sesuai dengan model pengembangan ADDIE Models; (2) Berdasarkan penilaian ahli media, media booklet memperoleh nilai rata-rata 80 dengan presentase 80% (layak). Berdasarkan penilaian ahli materi, media booklet memperoleh nilai rata-rata 110 dengan presentase 88% (sangat layak). Berdasarkan respon siswa media booklet memperoleh nilai rata-rata 102,63 dengan presentase 82,10% (sangat baik); (3) Media booklet dinyatakan efektif dengan indikator kenaikan hasil belajar siswa sebelum menggunakan media booklet pada KD 3.7 (57,6) dan setelah menggunakan media booklet pada KD 3.8 (82,4).
RELEVANSI KOMPETENSI TKRO SMK MUHAMMADIYAH KARANGMOJO DENGAN KOMPETENSI YANG DIBUTUHKAN INDUSTRI
Authors: Isnadar Rizaldi , Budiman Agus
Published: May 2024

ABSTRACTThis study aims to determine: (1) the competence of Automotive Light Vehicle Engineering (TKRO) at SMK Muhammadiyah Karangmojo; (2) the competency needs of the APM business and automotive industry following the TKRO Skills Competency curriculum given by SMK Muhammadiyah Karangmojo; (3) the relevance of the TKRO competencies given at SMK Muhammadiyah Karangmojo to the needs of the business world and the APM automotive industry. This research is descriptive quantitative and qualitative research. The subject of this research is the Head of TKRO Expertise Competence at SMK Muhammadiyah Karangmojo and 5 respondents from 5 DU/DI automotive APM. Data collection techniques in this study used documentation, questionnaires, and interviews. The data analysis technique in this study used quantitative descriptive analysis with percentages. The results of this study indicate that: (1) competence in the curriculum of SMK Muhammadiyah Karangmojo TKRO expertise competence consists of 256 KD, (2) competencies required by DU/DI automotive APM consist of 238 KD meaning there are several KD that are not required by DU/DI APM, and (3) The relevance of the TKRO competencies given at SMK Muhammadiyah Karangmojo to the overall need for DU/DI APM is 82%, with details of 191 (75%) Basic Competencies in the very relevant category, 26 (10%) Basic Competencies in the relevant category, 21 (8%) Basic Competencies in the less relevant category, and 18 (7%) Basic Competencies in the irrelevant category. ABSTRAKPenelitian ini bertujuan untuk mengetahui: (1) kompetensi Keahlian Teknik Kendaraan Ringan Otomotif (TKRO) di SMK Muhammadiyah Karangmojo; (2) kompetensi kebutuhan dunia usaha dan industri otomotif APM sesuai kurikulum Kompetensi Keahlian TKRO yang diberikan SMK Muhammadiyah Karangmojo; (3) relevansi kompetensi TKRO yang diberikan di SMK Muhammadiyah Karangmojo dengan kebutuhan dunia usaha dan industri otomotif APM. Penelitian ini merupakan penelitian deskriptif kuantitatif dan kualitatif. Subjek penelitian ini adalah Ketua Kompetensi Keahlian TKRO SMK Muhammadiyah Karangmojo dan 5 responden dari 5 DU/DI otomotif APM. Teknik pengambilan data dalam penelitian ini menggunakan dokumentasi, angket dan wawancara. Teknik analisis data dalam penelitian ini menggunakan analisis deskriptif kuantitatif dengan persentase. Hasil penelitian ini menunjukkan bahwa: (1) kompetensi pada kurikulum SMK Muhammadiyah Karangmojo kompetensi keahlian TKRO terdiri dari 256 KD, (2) kompetensi yang dibutuhkan DU/DI otomotif APM terdiri dari 238 KD artinya terdapat beberapa KD yang tidak dibutuhkan oleh DU/DI APM, dan (3) Relevansi kompetensi TKRO yang diberikan di SMK Muhammadiyah Karangmojo dengan kebutuhan DU/DI APM secara keseluruhan sebesar 82%, dengan rincian 191 (75%) Kompetensi Dasar dalam kategori sangat relevan, 26 (10%) Kompetensi Dasar dalam kategori relevan, 21 (8%) Kompetensi Dasar dalam kategori kurang relevan, dan 18 (7%) Kompetensi Dasar dalam kategori tidak relevan.
EVALUASI UJI KOMPETENSI KEAHLIAN TEKNIK KENDARAAN RINGAN OTOMOTIF SMK DI KOTA YOGYAKARTA
Authors: Hardiyanta Rendra Ananta Prima , Wagiran Wagiran
Published: May 2024

Penelitian ini bertujuan untuk mengevaluasi Uji Kompetensi Keahlian (UKK) Teknik Kendaraan Ringan Otomotif (TKRO) SMK di Kota Yogyakarta ditinjau dari aspek: (1) context, (2) input, (3) process, dan (4) product. Subjek penelitian ini yaitu 7 ketua kompetensi keahlian, 18 asesor, dan 23 guru produktif SMK negeri dan swasta di Kota Yogyakarta. Instrumen penelitian yang digunakan adalah pedoman observasi, pedoman dokumentasi, kuesioner, dan pedoman wawancara. Instrumen penelitian divalidasi melalui expert judgement. Validitas diperoleh dengan product moment sedangkan reliabilitas menggunakan alpha cronbach. Teknik analisis data menggunakan deskriptif kuantitatif dan kualitatif. Hasil penelitian menunjukan bahwa: Aspek context mendapatkan skor 3,38 (K3), 3,43 (Asesor), dan 3,32 (Guru Produktif). Aspek input mendapatkan skor 3,55 (K3), 3,73 (Asesor), dan 3,37 (Guru Produktif). Aspek process mendapatkan skor 3,62 (K3), 3,73 (Asesor), 3,52 (Guru Produktif). Aspek product mendapatkan skor 3,36 (K3), 3,50 (Asesor), 3,34 (Guru Produktif). Rekomendasi terhadap UKK TKRO yaitu: (1) peningkatan kualitas dan kuantitas sarana dan prasarana uji kompetensi yang mutakhir, (2) pengingkatan kualitas guru produktif dan asesor melalui pelatihan asesor, (3) dan peningkatan MoU dengan DUDI/IDUKA mengenai rekrutmen tenaga kerja.
KARAKTERISASI KUALITAS LASAN PADA BAHAN SERUPA AZ31B DENGAN PROSES MICRO-FRICTION STIR SPOT WELDING (µFSSW) UNTUK APLIKASI KENDARAAN
Authors: Widyianto Agus , Yudianto Aan , Sofyan Herminarto , Gunadi Gunadi
Published: May 2024

Keberhasilan penerapan micro-friction stir spot welding (µFSSW) pada bahan AZ31B pada penelitian ini memiliki implikasi yang signifikan untuk aplikasi praktisnya di berbagai industri. Temuan penelitian menunjukkan bahwa teknik pengelasan ini dapat menghasilkan sambungan yang kokoh pada material AZ31B dengan ketebalan 0,3 mm dan 0,5 mm. Geometri pengelasan optimal diperoleh pada 500 milidetik dan 500 mikron, menghasilkan beban geser maksimum dan beban silang masing-masing sebesar 326 N dan 88 N. Studi ini juga meneliti sifat mekanik sambungan, termasuk kekerasannya, dan menganalisis struktur mikro material. Kekerasan material meningkat pada center stir zone (SZ), menandakan terbentuknya sambungan yang lebih kuat. SZ juga menunjukkan butiran yang lebih kecil dibandingkan dengan thermo-mechanically affected zone (TMAZ), menunjukkan bahwa teknik µFSSW memiliki dampak positif pada penyempurnaan butiran. Namun, heat-affected zone (HAZ) menunjukkan butiran yang terrekristalisasi sebagian. Secara keseluruhan, temuan ini menunjukkan potensi µFSSW sebagai teknik pengelasan yang andal untuk material AZ31B, dengan sifat mekanik yang menjanjikan dan struktur mikro yang lebih baik. Penelitian lebih lanjut dapat mengeksplorasi penerapannya pada bahan dan industri lain, serta mengoptimalkan parameter pengelasan untuk hasil yang lebih baik.
PERSEPSI INSTRUKTUR INDUSTRI TERHADAP PELATIHAN JARAK JAUH MENGGUNAKAN LEARNING MANAGEMENT SYSTEM
Authors: Dewi Ayu Sandra , Siswanto Ibnu , Tafakur Tafakur , Haryana Kir
Published: May 2024

Instruktur industri mengambil peran penting dalam pengembangan kapasitas karyawan di industri. Beberapa perusahaan mencoba menerapkan pelatihan jarak jauh bagi karyawannya menggunakan LMS. Meskipun, hal ini tidak mudah dilakukan oleh para instruktur, dengan fitur LMS yang beragam. Sehingga, perlu dikaji secara mendalam bagaimana persepsi instruktur industri terhadap pelatihan jarak jauh menggunakan LMS sebagai masukan untuk memperbaiki pelaksanaan pelatihan jarak jauh di perusahaan. Penelitian ini bertujuan untuk menggali pengalaman instruktur industri dalam pelatihan jarak jauh menggunakan LMS. Penelitian ini menggunakan pendekatan kualitatif. Partisipan penelitian ini adalah 16 orang instruktur perusahaan otomotif terkemuka di Indonesia. Kami menggunakan kuesioner terbuka untuk memperoleh data penelitian. Peneliti memperhatikan kriteria trustworthiness dan authenticity untuk mencapai kualitas hasil penelitian. Hasil penelitian menunjukkan bahwa LMS dapat digunakan untuk membantu dalam pelaksanaan training; monitoring perkembangan peserta training; memfasilitasi peserta untuk belajar mandiri; fleksibel; efektif; efisien; dan materi dapat dirancang secara sistematis. Selain itu, pengemasan materi yang mudah dipahami; kemudahan dalam menggunakan fitur pada LMS; informasi yang uptodate; tampilan yang interaktif; dan file materi yang mudah diunduh juga perlu diperhatikan untuk memaksimalkan performa LMS. Bagi instruktur, kendala yang dihadapi dalam menggunakan LMS pada saat taining adalah peserta training pasif; akses LMS tergantung dengan sinyal internet; dan sulitnya mengatur jadwal training.
Investigating How the Use of Technology Can Reduce Missed Appointments: Quantitative Case Study at a General Practitioner Surgery
Authors: Sides Teresa , Kbaier Dhouha
Published: May 2024

Background

SMS texting systems have been considered a potential solution to reduce missed appointments in primary care. Existing research in this area focuses on qualitative studies investigating the attitudes of SMS text users and receivers.

Objective

This study aimed to examine appointment data from an independent general practitioner (GP) surgery in Wrexham, United Kingdom, with approximately 15,000 patients, to determine the impact of text messaging systems on reducing missed appointments. The objective of this study was to investigate whether the use of text messages can effectively reduce missed appointments.

Methods

To collect data for the study, SQL reports were run on EMIS Web, the United Kingdom’s most widely used clinical system. The data spanned 10 years, from September 1, 2010, to March 31, 2020. Data accuracy was verified by cross-referencing with appointment diary records. Mann-Whitney and Kruskal-Wallis tests, chosen for their suitability in comparing groups in nonparametric settings, were conducted in Microsoft Excel due to its accessibility.

Results

Statistical analyses were conducted to compare data before and after implementation of the text messaging system. The results revealed a significant 42.8% reduction in missed appointments (before: 5848; after: 3343; P<.001). Further analysis of demographic characteristics revealed interesting trends, with no significant difference in missed appointments between genders, and variations observed across different age groups. The median number of missed appointments was not significantly different between genders (women: 1.55, IQR 1.11-2.16; men: 1.61, IQR 1.08-2.12; P=.73). Despite the prevalence of mobile phone use among young adults aged 20-25 years, the highest rates of missed appointments (848/7256, 11.7%) were noted in this group, whereas the lowest rates were noted in the 75-80 years age group (377/7256; 5.2%; P<.001). Analysis by age and gender indicated inconsistencies: women aged 20-25 years (571/4216) and men aged 35-40 years (306/3040) had the highest rates of missed appointments, whereas women aged 70-75 years (177/4216) and men aged 75-80 years (129/3040) had the lowest rates (P<.001 for both).

Conclusions

This study demonstrates that SMS text messaging in primary care can significantly reduce missed appointments. Implementing technology such as SMS text messaging systems enables patients to cancel appointments on time, leading to improved efficiency in primary care settings.
A Computed Tomography–Based Fracture Prediction Model With Images of Vertebral Bones and Muscles by Employing Deep Learning: Development and Validation Study
Authors: Kong Sung Hye , Cho Wonwoo , Park Sung Bae , Choo Jaegul , Kim Jung Hee , Kim Sang Wan , Shin Chan Soo
Published: May 2024

Background

With the progressive increase in aging populations, the use of opportunistic computed tomography (CT) scanning is increasing, which could be a valuable method for acquiring information on both muscles and bones of aging populations.

Objective

The aim of this study was to develop and externally validate opportunistic CT-based fracture prediction models by using images of vertebral bones and paravertebral muscles.

Methods

The models were developed based on a retrospective longitudinal cohort study of 1214 patients with abdominal CT images between 2010 and 2019. The models were externally validated in 495 patients. The primary outcome of this study was defined as the predictive accuracy for identifying vertebral fracture events within a 5-year follow-up. The image models were developed using an attention convolutional neural network–recurrent neural network model from images of the vertebral bone and paravertebral muscles.

Results

The mean ages of the patients in the development and validation sets were 73 years and 68 years, and 69.1% (839/1214) and 78.8% (390/495) of them were females, respectively. The areas under the receiver operator curve (AUROCs) for predicting vertebral fractures were superior in images of the vertebral bone and paravertebral muscles than those in the bone-only images in the external validation cohort (0.827, 95% CI 0.821-0.833 vs 0.815, 95% CI 0.806-0.824, respectively; P<.001). The AUROCs of these image models were higher than those of the fracture risk assessment models (0.810 for major osteoporotic risk, 0.780 for hip fracture risk). For the clinical model using age, sex, BMI, use of steroids, smoking, possible secondary osteoporosis, type 2 diabetes mellitus, HIV, hepatitis C, and renal failure, the AUROC value in the external validation cohort was 0.749 (95% CI 0.736-0.762), which was lower than that of the image model using vertebral bones and muscles (P<.001).

Conclusions

The model using the images of the vertebral bone and paravertebral muscle showed better performance than that using the images of the bone-only or clinical variables. Opportunistic CT screening may contribute to identifying patients with a high fracture risk in the future.
Influence of Physical Attractiveness and Gender on Patient Preferences in Digital Doctor Consultations: Experimental Study (Preprint)
Authors: Wei Xia , Yu Shubin , Li Changxu (Victor)
Published: May 2024

BACKGROUND

The rise of digital health services, particularly digital doctor consultations, has created a new paradigm in health care choice. While patients traditionally rely on digital reviews or referrals to select health care providers, the digital context often lacks such information, leading to reliance on visual cues such as profile pictures. Previous research has explored the impact of physical attractiveness in general service settings but is scant in the context of digital health care.

OBJECTIVE

This study aims to fill the research gap by investigating how a health care provider’s physical attractiveness influences patient preferences in a digital consultation setting. We also examine the moderating effects of disease severity and the availability of information on health care providers’ qualifications. The study uses signal theory and the sexual attribution bias framework to understand these dynamics.

METHODS

Three experimental studies were conducted to examine the influence of health care providers’ physical attractiveness and gender on patient preferences in digital consultations. Study 1 (n=282) used a 2×2 between-subjects factorial design, manipulating doctor attractiveness and gender. Study 2 (n=158) focused on women doctors and manipulated disease severity and participant gender. Study 3 (n=150) replicated study 2 but added information about the providers’ abilities.

RESULTS

This research found that patients tend to choose attractive doctors of the opposite gender but are less likely to choose attractive doctors of the same gender. In addition, our studies revealed that such an effect is more prominent when the disease severity is high. Furthermore, the influence of gender stereotypes is mitigated in both the high and low disease severity conditions when service providers’ qualification information is present.

CONCLUSIONS

This research contributes to the literature on medical information systems research and sheds light on what information should be displayed on digital doctor consultation platforms. To counteract stereotype-based attractiveness biases, health care platforms should consider providing comprehensive qualification information alongside profile pictures.