Muhammadiyah University of Yogyakarta

Augmented Reality (AR) and Virtual Reality (VR) technologies have revolutionized learning approaches through immersive digital experience, interactive environment, simulation and engagement. Yet, these technologies are in developing stage and require massive investment and mass customization to meet the high demand in education. This comprehensive review aims to frame AR and VR development in education during the last twelve years. By adopting text mining and topic analysis approaches, a total of 1536 articles were selected for further analysis. These articles were selected from Scopus database based on specific criteria where titles, keywords and abstracts were extracted for analysis by WordStat. Hypotheses were formulated based on the prior works of AR and VR in education and being processed and evaluated to unvield state of art of AR and VR literature development, applications, advantages and future directions. Results reveal that adoption of AR and VR in education have exponential growth during recent years where wearable device have gain the large portion of this development. Based on secondary data, results also reveal the gap in implementing and customizing these technologies quickly in educational institutions. As AR and VR technologies rapidly develop and become mature, more educational applications emerge in learning process. Researchers are recommended to keep in pace to discover gaps of AR and VR transition to education and create effective adaptability approaches to gain more benefits of these technologies development.

This study aimed to analyze evidence of the effect of perceived ease-of-use, perceived usefulness, and perceived security on the citizen's intention to use e-Filing with information technology readiness as an intervening variable. This study used primary data collected from Civil Servants Taxpayers, Indonesian National Armed Forces, and State Police of the Republic of Indonesia in Semarang City. One hundred fifty questionnaires were distributed, and 126 were processed and analyzed. The multiple linear regression and path analysis were employed to test the hypotheses. The results indicated that perceived ease-of-use and perceived security had a positive effect on the use of e-Filing, while perceived usefulness has no effect on the use of e-Filing. In addition, readiness of information technology did not mediate the relationships among the perceived ease-of-use, perceived usefulness, and perceived security on the use of e-Filing. This study implies that Directorate General of Taxes, as a provider of e-Filing services, may improve the quality of e-Filing, especially in terms of ease and security. It is because, based on the results of this study, both aspects have been empirically proven to be able to increase intention to use e-Filing in reporting the annual notification letter.

With limited retrieval of reserves and restricted capability in plant pathology, automation of processes becomes essential. All over the world, farmers are struggling to prevent various harm from bacteria or pathogens such as viruses, fungi, worms, protozoa, and insects. Deep learning is currently widely used across a wide range of applications, including desktop, web, and mobile. In this study, the authors attempt to implement the function of AlexNet modification architecture-based CNN on the Android platform to predict tomato diseases based on leaf image. A dataset with of 18,345 training data and 4,585 testing data was used to create the predictive model. The information is separated into ten labels for tomato leaf diseases, each with 64 × 64 RGB pixels. The best model using the Adam optimizer with a realizing rate of 0.0005, the number of epochs 75, batch size 128, and an uncompromising cross-entropy loss function, has a high model accuracy with an average of 98%, a strictness rate of 0.98, a recall value of 0.99, and an F1-count of 0.98 with a loss of 0.1331, so that the classification results are good and very precise.

The purpose of this study is to determine the effect of work motivation and leadership on job satisfaction and its implications on employee performance. A total of 355 samples of Bukit Asam Coal Mining Company Ltd. in Indonesia were selected proportionally with random sampling. Data were obtained through questionnaires. Data analysis technique employed structural equation modeling (SEM) with AMOS 22. The results of the study show that leadership and work motivation have a positive and significant effect on job satisfaction. Leadership has a more considerable influence (0.263) than work motivation (0.171) toward employee job satisfaction. The influence of leadership towards job performance is 0.175. The influence of work motivation towards job performance is 0.166. Job satisfaction has the most dominant influence (0.363) towards employee performance. The direct effect of leadership on employee performance is 0.175 greater than the indirect influence of leadership on employee performance through employee job satisfaction, which is only 0.096. Likewise, the direct effect of work motivation towards employee performance is 0.166 greater than the indirect effect of work motivation towards employee performance through employee job satisfaction, which is only 0.062. Thus, job satisfaction does not mediate the effects of leadership and work motivation toward employee performance.

Recent advances in deep learning have shown many successful stories in smart healthcare applications with data-driven insight into improving clinical institutions’ quality of care. Excellent deep learning models are heavily data-driven. The more data trained, the more robust and more generalizable the performance of the deep learning model. However, pooling the medical data into centralized storage to train a robust deep learning model faces privacy, ownership, and strict regulation challenges. Federated learning resolves the previous challenges with a shared global deep learning model using a central aggregator server. At the same time, patient data remain with the local party, maintaining data anonymity and security. In this study, first, we provide a comprehensive, up-to-date review of research employing federated learning in healthcare applications. Second, we evaluate a set of recent challenges from a data-centric perspective in federated learning, such as data partitioning characteristics, data distributions, data protection mechanisms, and benchmark datasets. Finally, we point out several potential challenges and future research directions in healthcare applications.

Dunia sedang mengalami Pandemic COVID-19 termasuk Indonesia. Himbauan untuk mencegah mata rantai penyebaran virus ini mengharuskan masyarakat untuk berdiam diri dirumah. Hal ini berdampak pada ketidakstabilan ekonomi dan salah satu yang terdampak adalah UMKM. Untuk itu diperlukan strategi bertahan bagi UMKM untuk dapat terus mempertahankan bisnisnya di tengah pandemi ini. Metode penelitian yang digunakan dalam penelitian ini adalah analisis kualitatif dengan langkah eksploratif dengan teknik observasi partisipatif. Hasil penelitian ini merekomendasi strategi bertahan untuk UMKM berupa melakukan perdagangan secara e-commerce, melakukan pemasaran secara digital, melakukan perbaikan kualitas produk dan penambahan layanan serta menjalin dan mengoptimalkan hubungan pemasaran pelanggan. Hasil penelitian ini penting untuk dipahami dan diadopsi oleh pelaku UMKM dan diharapkan pelaku UMKM selalu responsif dan menyesuaikan diri terhadap perubahan lingkungan agar bisa terus bertahan.

Covid-19 has led to the closure of educational institutions around the world and turned formal learning into distance learning. This study aims to investigate the effect of e-learning infrastructure and individual's knowledge and competence on distance learning during the Covid-19 pandemic outbreak in 2020. E-learning infrastructure and individual's cognitive competence were also used to determine the readiness of educational institutions in distance learning. The e-learning infrastructure includes Learning Management System (LMS), electronic devices, communication applications, and internet accessibility. Quantitative approach was used in this study with a sample of 324 participants from three major universities in Yogyakarta, Indonesia. Data were collected through online surveys. The descriptive statistical approach and one-layer regression analysis were used to examine the problems raised in this study. The results show that distance learning is positively influenced by e-learning infrastructure and the cognitive competence of the students, the faculty, and administrative staff. The results also point out the university's readiness level in adopting online learning based on their previous experience of using the learning system. Finally, the study proposes that in order to improve the e-learning process, there needs to be sufficient financial support from the government, whereas the universities are advised to conduct workshops and training, and to provide teleconferencing applications.

Although abundant plastic waste contaminating the environment may be utilized as reinforcing materials, a potential pozzolanic material (rice husk ash blended with lime) possesses superior properties in stabilizing soils. Engineering behavior of the stabilized clayey/silty soil reinforced with randomly distributed discrete plastic waste fibers is investigated in this paper. The results indicate that the proposed method is very effective to improve the engineering properties of the clayey/silt soil in terms of compressive, tensile, and shear strength, which further enhanced the stability and durability of the soil. Based on the compressive strength, California bearing ratio (CBR), shear strength, and failure characteristics, the optimum amount of fiber mixed in soil/lime/rice husk ash mixtures ranges from 0.4–0.8% of the dry mass.

This study aims to examine the perception of government employees about the association of the culture of compliance in information technology (IT) on the service quality, accountability, and transparency through effective IT governance (ITG) as an intervening variable. This study was carried out in the local government (city) of Surabaya, Indonesia. The population of this study is all Local Government Organizations (LGOs) in the Surabaya, while the samples are LGOs for public services and administration. Data was gathered through the questionnaires distributed directly to the respondents. The respondents are LGOs employees who are involved with e-government implementation. The number of distributed questionnaires was 200, but there were only 141 returned and analyzed. The partial Least Square-Structural Equation Modeling (PLS-SEM) was utilized to analize the data. The results of this study demonstrate that the culture of compliance in IT associates with service quality, accountability, and transparency indirectly through effective ITG. The result implies that effective ITG is a crucial aspect that must be considered for achieving successful e-government development in Indonesian local governments.

Teaching English as a foreign language is a challenging task, particularly when it is done in places where English serves a very limited purpose. This study attempted to investigate the challenges in teaching English as well as the solutions taken by the English teachers at MTsN Taliwang. The study captured the English teachers’ point of view in facing English teaching challenges in the classroom and the solutions they implemented to solve them through interview. A number of challenges emerged, partly coming from students, partly from teachers, and partly from the school’s facility, namely, students’ lack of vocabulary mastery, students’ low concentration, students’ low motivation, students’ lack of discipline, students’ boredom, speaking problem, shortage of teachers’ training, teachers’ language proficiency issue, limited mastery of teaching methods, teachers’ unfamiliarity to high-tech, teachers’ lack of professional development, inadequate resources and facilities, and time constraint. The solutions to overcome these challenges were also suggested in this study. Reforming attitude, applying various teaching methods and techniques, improving resources and facilities, matching students’ level and learning situation, using and providing dictionary, making use of available resources and facilities, providing motivational feedback, looking for appropriate methods or materials, and teachers’ self-reflection might be quite helpful in coping the English teaching challenges in classroom situation. Keywords : teaching, English language, challenges, solutions

This study aims to explain the challenges of teachers in the digital era 4.0 and readiness to face these challenges. Through literature review. The author explains that there are several ways to face challenges education in the era of the industrial revolution 4.0 through capacity building and teacher skills by playing an active role in school. In addition, this research is to see the role of digital in education and student psychology. This research is a descriptive qualitative research. Data was collected by means of observation, interviews, and giving a questionnaire. The analysis technique uses interpretive analysis of the results of activities based on instruments. The results showed that the digital era 4.0 considered important for teachers to master in the 21st century, including the ability of teachers to use digital-based learning media. While the teacher develops psychology, namely the ability to creativity, critical thinking, collaboration, communication, innovation, problem solving, ICT skills, and character.

Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks and beyond. IEC is considered to be a promising backbone of future services and wireless communication systems in 5G integration. In addition, IEC enables various use cases and applications, including autonomous vehicles, augmented and virtual reality, big data analytic, and other customer-oriented services. Moreover, it is one of the 5G technologies that most enhanced market drivers in different fields such as customer service, healthcare, education methods, IoT in agriculture and energy sustainability. However, 5G technological improvements face many challenges such as traffic volume, privacy, security, digitization capabilities, and required latency. Therefore, 6G is considered to be promising technology for the future. To this end, compared to other surveys, this paper provides a comprehensive survey and an inclusive overview of Intelligence Edge Computing (IEC) technologies in 6G focusing on main up-to-date characteristics, challenges, potential use cases and market drivers. Furthermore, we summarize research efforts on IEC in 5G from 2014 to 2021, in which the integration of IEC and 5G technologies are highlighted. Finally, open research challenges and new future directions in IEC with 6G networks will be discussed.

Climate change increases the vulnerability of agricultural sector due to the increasing threat from pest attacks. Mitigation of a threat that results from climate change requires adaptation strategies. This study investigates farmers’ willingness to participate in the process of climate change adaptation in Yogyakarta, Indonesia; particularly in facing the increasing risk of pest attacks. Using a logistic regression model, we tested the impacts of social capital on farmers’ willingness to participate. The results showed that 70% of farmers were willing to contribute financially to the adaptation process. This participation was positively correlated with high social capital, which consists of high level of trust, community engagement, and personal relations with people in other villages. This study contributes to the literature by highlighting the potential roles of social capital in the process of climate change adaptation in agricultural sector.

This study aims to examine the community empowerment model to develop sustainable tourism villages in Indonesia. This study applies a qualitative method. Data collection is conducted through interviews, observations, and focus group discussions held in Ponggok Village of Central Java Province - Indonesia. The results of this study found that the tourism development carried out in the Ponggok Village used four approaches (1) spatial approach as a basis in determining the direction of village development; (2) sectoral approach through increasing the role of the Village Owned Enterprises to build the village economy; (3) human resources to enhance the role of village communities in managing village potentials; and (4) use of information technology to improve service quality, transparency and accountability. The success of these four approaches is influenced by the leadership, innovation, collaboration, and good village governance. The success of the Ponggok village to become an independent village in improving the welfare of the community is inseparable from the success of the Ponggok village government in empowering the community to manage sustainable tourism development. The success of development with these four approaches is influenced by leadership, innovation, collaboration, and good governance.

This paper presents renewable energy systems based on micro-hydro and solar photovoltaic for rural areas, with a case study in Yogyakarta, Indonesia. The Special Region of Yogyakarta, located on the island of Java, Indonesia, has a high potential for the development of renewable energy resources, especially hydropower and solar power. Many rural areas in Yogyakarta lack a supply of electricity. In this study, data on the potential for hydropower and solar power in rural regions of Yogyakarta are processed to determine the best capacity of hydroelectric and solar power plants. The extended particle swarm optimization (PSO) technique has been used to ensure optimal capacity optimization of this hybrid systems. The final result of this study is the most optimal of hydropower and solar power generation capacity based on the calculation of cost of capital, grid sales, cost of energy, and net present value.

Recognizing the vital role of employees in achieving optimal performance and sustainable competitive advantage as expected, organizations need to facilitate high support for employees, implement appropriate leadership styles, and increase affective commitment within the organization. Therefore, the objective of this study is to analyze and explore: (1) the effect of perceived organizational support (POS) on employee performance and affective commitment; (2) the effect of transformational leadership on employee performance and affective commitment; and (3) the effect of affective commitment on employee performance. The covered population in this study were all employees (including managers, supervisors, and functional staff) who worked in the stone milling companies in Central Java, Indonesia. Data obtained in this study were processed statistically employing structural equation modeling (SEM) with the SmartPLS 3 software package. Based on the data analysis results on 103 respondents, this study concluded that POS had a significant effect on affective commitment and employee performance as well as transformational leadership on affective commitment and employee performance. Furthermore, affective commitment also had a significant effect on employee performance. Thus, the results of this study, theoretically and practically, can be used by all parties concerned to improve employee performance and maintain a sustainable competitive advantage.

The advent of the fifth-generation mobile communication technology (5G) era has catalyzed significant advancements in medical diagnosis delivery, primarily driven by the surge in medical data from wearable Internet of Medical Things (IoMT) devices. Nonetheless, the IoMT paradigm grapples with challenges related to data security, privacy, constrained computational capabilities at the edge, and an inadequate architecture for handling traditionally error-prone data. In this context, our research offers: (1) an exhaustive review of large-scale medical data propelled by IoMT, (2) an exploration of the prevailing cloud-edge Artificial Intelligence (AI) framework tailored for IoMT, and (3) an insight into the application of Edge Federated Learning (EFL) in bolstering medical big data analytics to yield secure and superior diagnostic outcomes. We place a particular emphasis on the proliferation of IoMT wearable devices that incessantly stream medical data, either from patients or healthcare institutions, to centralized repositories. Furthermore, we introduce a federated cloud-edge AI blueprint designed to position computational resources proximate to the edge network, facilitating real-time diagnostic feedback to patients. We conclude by delineating prospective research trajectories in enhancing IoMT through AI integration.

The aim of this study is to examine the effects of training and job promotion on work motivation and their implications on employee job performance. The study is accomplished in the Environment of the South Lampung Regency National Education Office on 215 respondents. The research design uses a quantitative survey method and data analysis is based on the structural equation model (SEM) with Amos 24. The results of the study show that (a) training and promotion had a positive and significant effect on work motivation, (b) training, promotion and work motivation had a positive and significant effect on job performance but (c) work motivation did not play any significant role in mediating the effect of training and job promotion for job performance. While job promotion had a more dominant direct effect than training in improving employee job performance, efforts to improve employee job performance will be more productive by providing job promotions to employees. Another effort is to provide opportunities for employees to attend training regularly. With job promotion and training, work motivation will increase, and the impact is that employee job performance will increase.

Among all other industries, the spread of COVID-19 also affected the formal labor of different industries including domestic workers at employers’ houses. The main purpose of this study was to analyze the phenomenon that how did full-time Indonesian female migrant domestic workers, in Malaysia and Taiwan, coped with inconvenient employment conditions during the pandemic. This article employed an explanatory qualitative approach. The data sources for this research were from secondary data, which mostly examined data available on online media related to four dimensions of decent work consisting of 1) employment security (losing a job), 2) protection (legally excluded/unregulated workers), 3) vulnerability (physical and mental abuse), and 4) income (low salary). The selected data from both national and international online media were analyzed by using NVivo 12+ software to correlate between the COVID-19 and working conditions of the Indonesian workers in Malaysia and Taiwan. This research reveals that full-time Indonesian female migrant domestic workers, temporarily living in employers’ houses, have coped with inconvenient employment conditions during the pandemic. The findings have argued that COVID-19 caused employment insecurity by limiting potential foreign female domestic workers to find a new job; further, it also raised the insufficient protection that resulted into more vulnerability. In terms of income, COVID-19 also contributed to salary deduction for female workers in Malaysia and Taiwan.

The technology acceptance model (TAM) is a widely accepted theoretical framework that explains how users accept and use technology. TAM has been applied in various marketing contexts to explain consumer behavior toward new technological products and services. By understanding how consumers perceive their products’ usefulness and ease of use, marketers can design effective marketing strategies that maximize consumer adoption and usage rates. This paper provides a comprehensive review of using TAM in marketing development. First, a metadata analysis was conducted by adopting 1089 papers from the Scopus database to review previous works in TAM and marketing. Second, a descriptive bibliometric analysis was performed using 437 published works and a VOS viewer to determine the recent development in using TAM in marketing. Third, content analysis of 57 papers using Wordstat was conducted to indicate the latest trends in marketing. Results reveal that marketing research using TAM is on an upward curve with limitations in implementing recent technologies. Sustainability Switzerland, Developments in Marketing Science, and International Journal of Bank Marketing were the top journals, Tan, G.W.H and Dr. Ooi Keng-Boon were the leading authors, business and management, computer science and social science were the principal areas of research, and USA, China, and Malaysia were the top countries. Results of bibliometric analysis reveal that mobile, technology, market research, and online marketing were the top trends in marketing. These results indicate the increasing importance of marketing trends and the TAM model used in today’s market and management.