Reviewerly/exHarmony huggingface dataset:
Ecosystem of Innovative Environments of the Territory: Additional Education and Entrepreneurship

In the article, based on part of the conclusions of a qualitative study of the acceleration infrastructure of universities and the concept of social ecosystems, the hypothesis of the concept of innovative environments in the region is formulated. Starting from the organizational weakness of small and medium-sized businesses, the secondary nature of the acceleration infrastructure of universities, and its incorrect orientation to "entrepreneurship" with mandatory access to startups, the structural insufficiency of the innovation environment of the region is stated. The solution to this problem is supposed to be within the framework of the formation of the socio-technical infrastructure of the ecosystem of innovative environments that ensure the continuity of training, education, research and project activities, and the employment of students. Based on the idea of the role of organizational infrastructure in the functioning of socio-cultural communities or environments, as well as on the changes resulting from the "digital" nature of this infrastructure, the main features of the regional innovation ecosystem are conceptualized. It is an organizational and meaningful association of existing subjects of innovative activity, the core of which is the education system (school – college – university), around which a platform of "additional education" is formed with the participation of business and scientific institutions as the main "consumers" of graduates. The cell of the environment is a small working group of students under the mentorship of a teacher, which undergoes a variable design and research trajectory under the supervision of "consumers". The event part of the environment necessarily includes not only project and educational work directly but also a cultural and leisure component. The problem of using the results of research and development is supposed to be solved by either bringing groups into the space of existing business ecosystems (technoparks, etc.) or by using the institute of venture studios acting as operators of such sites. Such an ecosystem should be a universal educational space organized by a "package of services" and included in the "package of social services" of the territory, the variability of which is provided by the function of participating "consumers", as well as a combination of educational, research, cultural, and leisure programs. The testing of the provisions laid down was carried out in the spring and summer of 2023 during the competitive program of the Innovation Promotion Fund.
Translation techniques of Indonesian children’s picture book: The Sacred Crocodile

Translating a children's picture book is a challenging process. The focus of translating children's picture books is not only to transfer the meaning into the target language but also to guide the children to quickly understand the meaning of the sentences. Therefore, the translator must apply the appropriate sentence translation technique. This study aims to describe translation techniques used in translating Indonesian children's picture books into English. The data of this study are sentences taken from the Indonesian picture book "The Sacred Crocodile." The researchers used purposive sampling and a comparative method to analyze the data. The finding shows that translators use five translation techniques by Vinay and Darbelnet (1995) in translating sentences: literal translation, modulation, transposition, and equivalence. The literal translation is the most frequently used translation technique, followed by transposition. The literal translation is a technique by which the translator translates expressions word-for-word from SL into TL. The dominant use of literal translation indicates that the translator tried to make the sentences easily understood by children. For further study, the researcher may consider the psychological aspects and characteristics of the children in order to motivate the children to read an English story book.
Using word cross game to impprove students’ vocabulary learning at SMK Muhammadiyah 1 Yogyakarta

This research was conducted at SMK Muhammadiyah 1 Yogyakarta. Based on the experience during the teaching practicum, it was identified that students still got problem with their vocabulary. It caused them afraid to speak English and feeling embarrassed if the word or sentence they conveyed was wrong. They also have little effort to read or look up the dictionary to know the new words. In addition, students easily got bored when learning in a conventional way. There is a problem in learning vocabulary. Based on those problems, classroom action research was conducted with two objectives: to describe the increase of students’ interest and vocabulary mastery taught using the word cross game. The subject of the research was a class consisting of 21 students. To collect the data, observation, test, and interview were done. Mixed methods were used to analyzed the data. The research was conducted in two cycles. Each cycle followed the steps of planning, acting, observing, and reflecting. The research findings revealed that the students’ interest in learning increased. They stated that learning using cross word games is fun and exciting. The other finding revealed the increase in vocabulary mastery. It was shown by the increase in score from 54.6 in post test of cycle one to 79.14 in the post test of cycle 2. Therefore, it can be concluded that the use of word cross game improved the students’ vocabulary learning.
Students’ perception of digital media for English teaching learning

This research was to find out the students’ perception towards digital media for ELT in Purworejo Muhammadiyah University. This research generally answered the question: how is students’ perception towards digital media for ELT in Purworejo Muhammadiyah University. The researchers collected the data through a questionnaire. There were twenty-seven of fourth semester students at Purworejo Muhammadiyah University participated in this research. This research used case-study design. Descriptive analysis was used to analyze the data from questionnaire. The result of this research showed that the students had high perception on digital media as an English reading material. The mean score of the questionnaire was 3.55 which can be interpret in the “High” category. Besides there were some difficulties faced by students and teacher in using digital media, such as limited mobile phone facilities, limited internet packages, and poor signal problems.
Fostering student's critical reading through technology integrated instruction

Students today grow up with technology devices at home and school, which transform how they study. Future education technology will alter teaching and learning by making new gadgets available to teachers and students. Thus, the study was meant to explore the impact of multimedia technology-integrated instruction on upper primary students' critical reading learning in one of Indonesia's private schools. To further comprehend the outcomes, a mixed methods study was conducted. Purposive sampling was used to choose 30 pupils as research samples. For three months, the participants were taught at least three science sessions per week utilizing multimedia technology. Instruments such as open-ended questions and questionnaires were used to collect data. The quantitative results from the questionnaire were examined and inferred using an inferential statistical t-test and descriptive statistical mean and standard deviation with a significance level of p 0.05. The qualitative data from open-ended questions were analyzed using the grounded theory coding technique. According to the findings, students were incredibly satisfied with learning science through multimedia technology because it made the lessons easier to grasp and more likely to engage, easy, and interesting. As a result, the researchers concluded that introducing multimedia technology into education had a considerable positive influence on raising student learning satisfaction and improving critical reading skills The post-test scores in the group that utilized multimedia technology are noticeably higher when the two groups are compared.
Cultural contents of senior high school English textbook entitled “Bahasa Inggris”

One of the most important aspects that must be included in ELT textbooks is culture. This research aims at exploring types of cultural contents and cultural elements. The subject of this research was English Textbook for grade XII entitled “Bahasa Inggris”. This research belongs to content analysis. Document observation was used to collect the data which were analyzed by using Miles &amp; Huberman’s model and coding method. The research findings show that there were three types of culture found in this textbook, namely the source culture (66 times or 58%), target culture (34 times or 30%), and, international culture (14 times or 12%). Concerning the cultural elements, they were represented by product (39 times or 80%), person (9 times or 18%), and practice (1 times or 2%). Meanwhile, perspective was not represented. It implies that the textbook still focused on source cultures which were more easily internalized by the learners and on products which were the most concrete for learners to learn the culture. It is recommended that the authors of the textbook balance the cultural contents proportionally and the teachers creatively insert more target and international cultures to avoid cultural shocks.
APLIKASI MANAJEMEN INVENTARIS BERBASIS MOBILE PADA CV LAFEBY MENGGUNAKAN METODE AGILE

The utilization of technology at this time increasingly encourages businesses or industries to build an efficient work ecosystem. Inventory management is one of the important keys in the company's ecosystem. Inventory management is a process of managing and monitoring raw or finished goods. CV Lafeby is a medium-sized business engaged in textiles. Currently CV Lafeby still uses a conventional system in managing its inventory management such as recording incoming products using paper or making paper notes. The use of conventional systems has many problems such as the absence of up to date product data and the use of paper notes is too risky to be damaged or lost. The impact of incomplete data on incoming goods and outgoing goods will affect CV Lafeby in the future. Therefore, CV Lafeby needs an inventory management system by utilizing technology, namely a mobile application and mysql database. The author uses the agile development method in developing mobile applications. Later, the backend of the mobile application will be built through hosting so that the data can be obtained up to date. Hopefully, the mobile application that the author will develop can solve the problems of the shortcomings caused by conventional systems in inventory management.
PENGARUH PENGGUNAAN MODEL THINK PAIR SHARE TERHADAP HASIL BELAJAR SISWA MATERI KALOR

Abstract&#x0D; This study aims to know whether there is a significant influence of using Think Pair Share (TPS) learning model on students’ physic achievement on the topic heat at the tenth grade students of SMA Negeri 1 Nagajuang. The research was conducted by using experimental method with 60 students as the sample and they were taken by using total sampling technique. Test and observation were used in collecting the data. Based on descriptive analyzes, it could be found that a) the average of using TPS learning was 91.06 (very good category) and (b) the average of students’ heat achievement before using TPS learning model was 60 (less category) and after using TPS leaning model was 89.77(very good category). Furthermore, based on inferential statistic by using ttestone tail, the result showed that ttable was less than tobserved (1.91&lt;8.51), it means, there is a significant influence of using TPS learning model on students’ physic achievement on the topic heat at the tenth grade students of SMA Negeri 1 Nagajuang.
PENGARUH PENGUASAAN GETARAN TERHADAP HASIL BELAJAR IPA TERPADU SISWA PADA MATERI POKOK BUNYI SMP NEGERI 5 SIPIROK

The aims to ascertain whether not any significant effect between the getraran governance basic towar physic outcomes topic bunyi. physic learning outcomes topic bunyi is a factor supporting the success of student in learning, in fact the result of learning gained go while KKM “65”. This condition should not be allowed because resulted in the national education goals are not, achieved. Overcomes this problem needs to control the getaran governance basic teacher be better. The eksperiment was conducted at SMP Negeri 5 Sipirok. 59 people as population and sampel werw taken with total sampling, are 59 people. The method used descriptif method and data collectioned test, multiplechoise. The data obtain, were processed two stages,namely deskriftif analysis to see a correlation “r” product moment and to see wheter there is a significant effect between the two variables used ttest. the result of the data obtained an average variable x=70,35 and variable y=68,77, tcount=7,54 and ttable=2,085 then t count greather than t table (7,54&gt;2,085), so this hipotesis can achieved.
See Through System

With the continuous advancements in sensing technologies and wireless communication, video applications have gained significant popularity in IoV. However, traditional cloud-based video transmission suffers from excessive service delay and fails to meet the demands of high scalability and low latency. To address this issue, this chapter introduces a V2X-enabled video transmission service called See Through. We proceed to develop a system prototype and conduct hardware-in-the-loop experiments. Finally, we implement both V2V- and I2V-based See Through systems and evaluate the performance in realistic IoV environments.
Toward Timely and Reliable DNN Inference in Vehicular Edge Intelligence

This chapter explores on accelerating DNN inference with reliability guarantee in VEC by considering the synergistic impacts of vehicle mobility and V2V/V2I communications. First, we show the necessity of striking a balance between DNN inference acceleration and reliability in VEC and give insights into the design rationale by analyzing the features of overlapped DNN partitioning and mobility-aware task offloading. Second, we formulate the Cooperative Partitioning and Offloading (CPO) problem by presenting a cooperative DNN partitioning and offloading scenario, followed by deriving an offloading reliability model and a DNN inference delay model. The CPO is proved as NP-hard. Third, we propose two approximation algorithms, i.e., Submodular Approximation Allocation Algorithm (SA $${ }^3$$ ) and Feed Me the Rest algorithm (FMtR). In particular, SA $${ }^3$$ determines the edge allocation in a centralized way, which achieves 1/3-optimal approximation on maximizing the inference reliability. On this basis, FMtR partitions the DNN models and offloads the tasks to the allocated edge nodes in a distributed way, which achieves 1/2-optimal approximation on maximizing the inference reliability. Finally, we build the simulation model and give a comprehensive performance evaluation, which demonstrates the superiority of the proposed solutions.
UAV-Assisted Pedestrian Detection System

The collaboration between UAVs and the IoV has garnered significant attention from both academia and industries. One of the typical application scenarios is the pedestrian detection system based on UAVs, which is a promising approach to compensating blind spots of vehicles. In this chapter, we present an end–edge–cloud cooperation architecture for UAV-assisted pedestrian detection within the IoV. Then, we implement a hardware-in-the-loop testbed to assess the functionality of each component. Finally, we deploy the system in realistic environments and conduct performance evaluation.
Non-line-of-sight Collision Warning System

VEC has been envisioned as a promising paradigm for enabling a variety of emerging ITSs. However, due to inevitable yet non-negligible issues in wireless communication, including transmission latency and packet loss, it is still challenging in implementing safety-critical applications, such as real-time collision warning in vehicular networks. In this chapter, we present a non-line-of-sight (NLOS) collision warning system based on I2V communications. In particular, we build a hardware-in-the-loop testing platform and implement a NLOS collision warning system prototype in realistic environments. The on-site testing demonstrates the feasibility and effectiveness of the developed system.
Sistem Informasi Penjualan (E-Commerce) Pakaian Jadi Pada Nuansa Fashion Dengan Menggunakan Bahasa Pemrograman PHP dan Database Mysql

Research has been carried out on the Nuansa Fashion with the aim of developing an information system that has seemed uninformative. And from the research that was conducted, it was found some shortcomings of the old system which still uses many manual methods. From the shortcomings found, a system development can be recommended. Where in this case by using the PHP Database and MySQL Application as a system design programming language that has been commonly known among programmers. In addition, the development of this system is also supported by several references relating to several references relating to the topics discussed. The purpose of this development is later to be able to improve performance in processing data and improve the quality of information produced which can be used as a leader as a guide in making a decision for the progress of the organization he leads.
Sistem Pakar Stunting Pada Balita Menggunakan Metode Forward Channing &amp; Naive Bayes

Stunting is a growth problem in toddlers which is characterized by the length or height of the child being below the established standard deviation. The development of pregnant women greatly affects the health and growth of the womb. Problems with fetal development in the womb that result in low birth weight. The length of the baby is also associated with the incidence of stunting. This is also one of the causes of many toddlers experiencing stunting, because the food provided does not show what is called 4 healthy 5 perfect food. By looking at the number of stunting cases in toddlers in the community, an expert system is needed that can assist users in diagnosing stunting more quickly. This expert system research uses data collection techniques directly to the field to collect data by means of data collection techniques as follows; observations, interviews, and library studies. The use of an expert system with the Forward Chaining &amp; Naïve Bayes method in this system can help and make it easier for users to detect stunting in toddlers.
Penerapan Metode Five Modulus Dalam Mengkompresi File Dokumen (PDF) Pengembangan Bahan Ajar

PDF files are one of the document files that are classified as having sufficient size larger than other document files. Currently, the use of applications as information is increasing commonly used. But there is a problem that is often encountered, namely the need for a safe place great for storage. Therefore, compression is needed to reduce the size of the application data. Data compression is a process of converting a set of data into a form of code to reduce the need for data storage space. The Five Modulus method is wrong a data compression algorithm. To find out the results of the compression process is done through the ratio compression and space saving. The results to be known, the compression ratio and space saving. According to the test results The tests that were carried out show that the data that originally had a larger size can be very well compressed on the application of the Five Modulus method in compressing document files (PDF).
Sistem Pendukung Keputusan Pemilihan Staf Karyawan Bpn Terbaik Di Wilayah Kota Medan Dengan Mengunakan Metode Moora Dengan Pembobotan Roc

Decision Support System (DSS) is a decision support system that can help in handling or solving problems in a company or in the daily environment, in determining a problem we need data that we will take in a company or in the environment. In writing this is an example of a problem that is currently happening with the case study of the Selection of the Best BPN Employees in the City of Medan, therefore the author uses a method that will be able to find the best employee data, therefore the author creates a decision support system that will be able to determine the best BPN employee assessment process in the city of Medan. Where this system is a system that has a very important role in decision making. The system is DSS, where DSS is one of the systems that can assist in solving each problem by requiring data and methods contained in the DSS in order to obtain more relevant information and support in making each decision. In completing this research, the writer has to find the weight value of the criterion data where the writer uses the ROC method to produce the weight value and after that the writer also searches for the ranking value using the MOORA method. And where to produce ranking values in the MOORA method, the author must work according to predetermined steps in order to obtain precise and accurate reference values. The ROC and MOORA methods really help writers in generating values accurately.This decision support system was made using the MOORA method with ROC weighting where this method can be used or can be used as a reference in determining a problem because it aims to find out how many employees are Top Talent (Best Employee), after testing it is given a weight value on criteria and can be modified which aims to find out how many criteria will be added in each criterion which has its own weight value and after that a ranking is made in which the ranking can already determine the best BPN employee in the city of Medan, namely (T3) Anggi Alfarissi HSB with a score of 1,157. So because of this it was confirmed or very easy for the team to select in decision-making and were selected as the best BPN employees in the city of Medan.
Adaptive Human Interaction Detection Algorithm for Oilfield Security System

This paper proposes an adaptive human interaction detection algorithm based on the Vision Transformer structure and domain adaptive algorithm for the security system in oil fields. The algorithm extracts features of individuals in the image using the Vision Transformer structure and adapts to different oil field scenes using domain adaptive algorithm. Experimental results show that the proposed algorithm has high accuracy and robustness in the application of security systems in oil fields.
Autoencoder-based representation learning of hand and finger movements in humans

(1) In this work, a set of deep autoencoders with different numbers of layers and layer sizes were trained using a set of open access hand tracking datasets. Examining the results allowed to determine optimal number of layers for deep autoencoders and augmentation parameters for denoising autoencoders. Additionally, variations of autoencoders reconstruction loss depending on hidden unit size and latent space size were observed. (2) Results. Trained autoencoders showed better results in representation extraction than PCA method. A positive relationship between autoencoder depth and model performance was also proven. Future work will be aimed at applying obtained results to transfer learning problems.
Application of AI in Hotel Management and its Benefits

The most recent technological trend that is being integrated into our daily life more and more is artificial intelligence. The hotel sector is researching how to use this technology in their operations as well. AI is currently being utilized for in-person customer service, data analysis operating in the background, catboats acting as online reservation systems and front desk concierge robots. The way AI is displayed and how it impacts the user varies depending on the application. We can examine in detail the effects of employing various AI technologies in hotels on both business and customer ratings by collecting input from past guests of the hotels we have selected.