Reviewerly/exHarmony huggingface dataset:
HUBUNGAN KESIAPSIAGAAN DENGAN TINGKAT KECEMASAN MASYARAKAT DAERAH RAWAN BENCANA BANJIR DI DUSUN NUSUPAN DESA KADOKAN

&#x0D; &#x0D; &#x0D; &#x0D; Introduction: Disaster events in 2021 have occurred 5,402 disasters and are dominated by wet hydrometeorological disasters as much as 90%. Flood is an event of an area or low land due to an increase in the volume of water. The impact of floods can be reduced by increasing community preparedness in dealing with disasters, floods are a factor causing anxiety for the community, especially those who have been victims.&#x0D; Objectives: This study aims to determine the relationship between preparedness and the level of anxiety of the community in flood-prone areas in the Nusupan Hamlet, Kadokan Village.&#x0D; Methods: Quantitative research with descriptive correlational research design with cross sectional design, the sample taken is 70 respondents with probability sampling technique, namely simple random sampling. The research instrument uses preparedness questionnaires and HARS (Hamilton Anxiety Rating Scale) questionnaires. Data analysis was carried out using the Spearman Rank test&#x0D; Results: The results of statistical tests on respondents showed p value 0.000 &lt;0.05.&#x0D; Conclusions: There is a significant relationship between preparedness and the level of community anxiety in the Nusupan Hamlet, Kadokan Village.&#x0D; &#x0D; &#x0D; &#x0D;
TINJAUAN KELENGKAPAN FORMULIR RINGKASAN MASUK DAN KELUAR PASIEN RAWAT INAP BERDASARKAN ANALISIS KUANTITATIF PENYAKIT CATARACK, UNSPECIFIED DI RUMAH SAKIT ISLAM AMAL SEHAT SRAGEN

Introduction: Efforts to improve hospital quality need to be carried out to assess hospital services, namely by conducting quantitative analysis.&#x0D; Objectives: To find out the completeness of filling in and out summary forms for inpatients based on quantitative analysis of catarack disease, unspecified at the Amal Sehat Islamic Hospital, Sragen.&#x0D; Methods: This research is a descriptive study, using the method of observation and interviews. The population in this study were 616 medical records of inpatients with cataracts, unspecified by using a random sampling technique where the sample was taken randomly and the Slovin formula was used to determine the sampling.&#x0D; Result: analysis in the review of identification of the complete number of 240 documents with a percentage of 98.77% while those that were incomplete were 3 documents with a percentage of 1.23%, in the review of reporting the complete number of 123 documents with a percentage of 50 ,62% while the incomplete ones are 120 with a percentage of 49.38%, in the authentication review the complete number is 236 documents with a percentage of 97.12% while the incomplete ones are 7 documents with a percentage of 2.88% and in the recording review the total number is 2.88%. 236 complete documents with a percentage of 97.12% while 7 documents incomplete with a percentage of 2.88%&#x0D; Conclusion: the incompleteness of medical record documents at the Amal Sehat Hospital Sragen is still not optimal, medical and non-medical officers should be more careful in completing medical record documents.&#x0D;
TINJAUAN PELAKSANAAN PENGELOLAAN DOKUMEN REKAM MEDIS DI BAGIAN FILING DI PUSKESMAS WONOSARI 1

Introduction: The implementation of the management of medical record documents at the Wonosari 1 Health Center there are still obstacles including in the medical record document storage section there is still a misfile because the medical record document after being used is not directly stored on the storage rack and there is still a buildup of medical record documents outside the medical record document storage rack and not yet there is a tracer.&#x0D; Objectives: The purpose of this study was to determine the implementation of medical record document management in the filing section at the Wonosari 1 Health Center.Methods: This research is a descriptive study with a cross sectional approach. The subjects of this research are filing officers and registration officers. The objects of this research are medical record documents, Standard Operating Procedures (SPO) and filing facilities. Result: The results showed that the implementation of storage and alignment of medical record documents was in accordance with Standard Operating Procedures (SPO), namely family folder storage and centralization, namely outpatient medical record documents, inpatient care, one family emergency room stored in one folder and the alignment based on Straight Numerical filing (SNF).Conclusion: the implementation of storage and alignment of medical record documents still found misfiles. this is because after used documents are not directly stored on the storage rack and the tracer aids are not used at the time of retrieval and return of medical record documents.
Improving Student Reading Comprehension Using Narrative Text Question and Answer Method

This research aimed to improve students reading comprehension by using narrative text question and answer method. The method that use in this study was question and answer discussion between students and teacher. The application of the study used mixed method research with pre-test, post-test and discussion. The teacher asked students to read a narrative text about Bawang Merah dan Bawang Putih. The research was conducted at SMA Bakti Idhata, located in Jakarta, consist of 40 students in the 10th grade class of X-A. The students’ classification score divided into seven categories, starting from the highest and the lowest: excellent, very good, good, fairly good, fair, poor, and very poor. The students who got the score (excellent: 86-95) was 12 students, but there was no students who got it before. Most of the students got (good: 76-85) which was 20 students, while before that, 16 students got these score. The student who got (fairly good: 66-75) was 7 students, while before it was 16 students which means there was significant different after it conducted the treatment. The students who got (fair: 56-65) before the treatment was 5 students, but now it was nobody. And last, the students who got (poor: 36-55) was only 1 students, while before that, it has 3 students. The value of students who have been taught using question and answer method was higher than the value of students who were not taught using question and answer method. This conclude that using question and answer method were effective in improving students reading comprehension
The The Use of Fine Art Activity Strategies in Mastering Vocabulary at Al-Hidayah Boarding School Depok West Java

Art is a person's creative phenomenon to express themselves in an event. It can be found in music, by hand, in the appearance of drama, or even in vocal sports. In learning, students often find problems that originate within themselves or originate in their environment. The problems that originate within themselves can be a lack of interest in reading, a lack of vocabulary, or a shortage of visual aids that make it easier for them to grasp science. The purpose of this study in al-Hidayah. Boarding School is to learn the arts of fine arts strategy for effectively mastering vocabulary. The methods used in this scientific work are those of quantitative research, data exploration, experimental design, and survey. Experiments were carried out to reinforce the initial hypothesis that with fine arts, vocabulary study was easier to understand. Surveys provide excellent databases for scientific reference. As for the results of this study being a fine art strategy for mastering vocabulary effectively, students can understand the vocabulary learned from teachers, and they can choose their way to select the correct vocabulary in translating, antonyms, word translations, or hyponyms.
Virtual Learning Environments: Modeling a New Learning Policy Strategy

The paper examines the modelling dimension of the virtual teaching/learning environment and its implementation practices. Changing trends of the educational processes become apparent; thus, it is necessary to reflect and justify the contours of modeling the virtual educational environment. When looking for new ways of conceptualizing teaching/learning strategies, it is especially important to understand the inclusive, enabling context of the open learning spaces, to adequately assess the content elements and to predict the possible characteristics of their expression in the context of inclusive and sustainable economy. In this paper, the process of modeling the virtual learning environment is analyzed using reflexive approaches. It is stressed that the aim of the new education policy strategy is to create learning environments that enable people of different talents and interests to receive appropriate learning, adapt to different life situations and goals, and reconcile, say, formal learning and self-education. Qualitative data is presented along with both teachers’ and educational experts’ attitudes.
Types of Learning Media in Primary School during Covid-19

The Covid-19 pandemic required the learning process in primary schools in Jayapura to be conducted online. Each school has its policy for determining the learning media. This study aimed to describe how teachers specify the learning media and various types of media in primary schools during the Covid-19 pandemic. This study was descriptive qualitative research with data obtained through interviews, observations, documentation, and surveys through google forms. The research location consisted of MIN Kota Jayapura, MI Yaa Bunayya, and SDIT Qurrata A'yun in Jayapura. The results of the study show that in determining the learning media during the Covid-19 pandemic, teachers considered (1) learning objectives and teaching materials, (2) the learning style of students, (3) the ease of use of learning media for teachers, students and parents, (4) cost as a supporting factor in the process of determining the learning media since the economy level of the student's parents are different. The types of learning media in primary school during the Covid-19 pandemic consisted of visual-based learning media, audio-based learning media, and audio-visual-based learning media. In addition to these media, teachers collaborated with learning media such as WhatsApp, Google Classroom, Google Meet, Google Form, Zoom, Quizizz, and Wordwall. The obstacles faced by teachers when using these learning media were data packages, networks, the teacher's competence in using online learning media, and parents’ support at home in using online learning media.
Group Brain-Computer Interactions For a Intelligent Entrance of Networked Cooperative Control Scheme

In this paper we research the group brain-computer interactions architecture of a concept of Metaverse to achieve a networked cooperative control mechanism in future Internet interactions. In conventional human-computer interactions, the brain-computer interfaces are usually one-way and composite, by means of multiple datasets with different training algorithms, and data processing for offline and online tasks. The large-scale EEG data conversion might be temporarily invalid due to the serial computing model of traditional brain-computer interactions, while the complex networked data transmission was added to the current interfaces.
Handheld Stereo Photogrammetry Applied to Crime Scene Analysis

This paper presents a promising handheld and non-invasive approach based on stereo-photogrammetry for crime scene documentation, reconstruction and analysis. Specifically, the performance of a handheld stereo image device, Leica BLK3D, has been assessed to conduct three-dimensional analysis in the field of crime scenes. To demonstrate its potential, a crime scene was simulated and virtually reconstructed using the handheld stereo image device and a terrestrial laser scanner (TLS). After processing the required data, a metric analysis from both data sources (based on the extraction of distances, areas, and angles) was performed, compared, and evaluated using robust statistical analyses. From this research, it can be concluded that the handheld stereo-photogrammetry allows metric analysis of crime scenes to be carried out with sufficient precision. A maximum linear error of 8 mm and angular error of 3.6º was obtained, which positions this technology as promising for the reconstruction of this type of complex scenes.
If submitting to a peer-reviewed section of the journal, the instructions in Ensuring a Blind Review have been followed.

Research topic on “The Study of Students’ Satisfaction with Online Teaching and Learning During The COVID-19 Epidemic, Case Study: Fundamentals of Western Dance Course, Performing Arts Program, Chiang Mai Rajabhat University” which their objectives including: 1. To study students' satisfaction in the management of online learning and teaching in 4 areas, the researchers studied information from the academic documents and collected information in the field trip by using the survey instrument then the results were combined and analyzed according to the objective.&#x0D; The results were found that students’ satisfaction with the management of the online teaching and learning format in all 4 areas. Area 1 item 1, overall satisfaction 1) overall satisfaction of students towards teaching and learning management which the level of satisfaction level was at 4.13 points, item 2 divided into 4 areas, 1) content and practice which the satisfaction level was at 4.4 points. 2) the online teaching and learning models which the level of satisfaction was at 3.99 points. 3) the measurement and evaluation, the satisfaction level was at 4.22 points and 4). information technology, the satisfaction level was at 3.91 points, so the level of satisfaction was at the high level in 3 areas and the level of satisfaction level was at the highest level in 2 areas.
Penerapan Market Basket Analysis Dengan Metode Apriori Pada WFZ Book Store

WFZ Book Store is a Book Store that provides various types of books. The sales process is done offline where the costumer has to visit the store to make a purchase. The process of recording data using the ledger makes it difficult for WFZ Book Store to make sales reports because it has to collect transaction data in the ledger, it causes difficulties to know the available Book stock because it has to check every sales transaction in the ledger. WFZ Book Store requires an information system that can manage book sales data onlineagarcostumers can easily view book data, stockand book online reservations. With the wfz Book Store information system can facilitate the customer in managing book data and store customer data that has made transactions also WFZ Book Store does not find it difficult to provide book purchase transaction data for the customer, so that the data can be used for book recommendations by finding the set of data that most often appear in a data set. Datamining techniques have been widely used to overcome existing problems, one of which is the application of a-priori algorithms to find association rules formed from book purchase transaction datasets. So it will be known the association between the title of the book purchased. The association rules between book titles formed from the mining process can later be used by the WFZ Book Store to increase the number of books purchased, besides that it can be used for the procurement of books from the association rules of frequently purchased books, it can also be developed into a knowledge base for the book purchase recommendation system. The Output is in the form of a priori algorithm analysis software.
Sistem Aplikasi Surat Masuk dan Surat Keluar Berbasis Web pada Dinas Kehutanan Provinsi Sumatera Utara

The use of electronic media is expected to help the archive managers to manage their archives effectively and efficiently. By using electronic media in the management of Archives will be obtained the benefits of speed, convenience and savings. The purpose of speed here is through the use of electronic media, the process of searching, discovering, distributing and processing data is carried out in a short time. The purpose of the ease of use of electronic media is the ease in terms of search, distribution and processing of data, which is efficient in the use of electronic media that can reduce energy, mind and save costs in managing archives. With these reasons, at present many organizations / agencies that use electronic media in the management of archives, ranging from simple to sophisticated. At the Forestry Service of North Sumatera Provinceexperience difficulties in the management of receiving and storing various letters, reports, forms and so on. The administration section is one of the parts of the Forestry Service of North Sumatra province of Batujajar. This work Unit manages the archives as the end result of administrative activities. One type of archive that is managed is the Mail Files. This file has not been done electronically.
Evolutionary Automata and Deep Evolutionary Computing

Evolution by natural selection, which is one of the most compelling themes of modern science, brought forth genetic algorithms and evolutionary computation, applying mechanisms of evolution in nature to various problems solved by computers. In this paper we concentrate on evolutionary automata that constitute an analogous model of evolutionary computation compared to well-known evolutionary algorithms. Evolutionary automata provide a more complete dual model of evolutionary computation, similar like abstract automata (e.g., Turing machines) form a more formal and precise model compared to recursive algorithms and their subset - evolutionary algorithms. An evolutionary automaton is an automaton that evolves performing evolutionary computation. This model allows for a direct modeling evolution of evolution, and leads to tremendous expressiveness of evolutionary automata, and as the result, of evolutionary computation. This also gives the hint to the power of natural evolution that is self-evolving by interactive feedback with the environment.
An overview of Sesotho BLARK content

This article overviews digital language resources available for Sesotho, an official language of South Africa. The South African Center for Digital Language Resources (SADiLaR) repository is used as a reference as it is the official host of various language resources for South African languages. A total of 18 written resources are identified from the repository, and a further 16 spoken resources are identified. Finally, a total of 45 applications and modules were identified. Findings indicate that the majority of applications and modules available for Sesotho are in fact general resources aimed at all eleven official South African languages. Furthermore, the available resources indicate an inclination to the development of entry level, basic language resources and an absence of middle and higher resources with functionalities such as semantic analyses for written resources and prosody prediction for spoken resources. The study is hindered by the dearth of resource specific evaluations and related research and exacerbated by the absence of some of the resources on the repository.
Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and Siswati

Local/Native South African languages are classified as low-resource languages. As such, it is essential to build the resources for these languages so that they can benefit from advances in the field of natural language processing. In this work, the focus was to create annotated news datasets for the isiZulu and Siswati native languages based on news topic classification tasks and present the findings from these baseline classification models. Due to the shortage of data for these native South African languages, the datasets that were created were augmented and oversampled to increase data size and overcome class classification imbalance. In total, four different classification models were used namely Logistic regression, Naive bayes, XGBoost and LSTM. These models were trained on three different word embeddings namely Bag-Of-Words, TFIDF and Word2vec. The results of this study showed that XGBoost, Logistic Regression and LSTM, trained from Word2vec performed better than the other combinations.
Human-Aware Subgoal Generation in Crowded Indoor Environments

With mobile robots becoming more prevalent in our daily lives, it is crucial that these robots navigate in a safe and socially-aware manner. While recent works have shown promising results by using Deep Reinforcement Learning (DRL) techniques to learn socially-aware navigation policies, most approaches are limited to local, short-term navigation. For more complex settings, DRL approaches rely on subgoals often computed using traditional path planners. However, these planners are not necessarily suitable for social navigation since they rarely consider the pedestrians in the scene and often disregard the long term cost of a path or the pedestrian dynamics. In this paper, we present an alternative global planner that uses a learnt local cost predictor to generate subgoal guidance to help a DRL robot to make progress towards its goal while also taking into account the pedestrians in the environment. We evaluate the proposed approach in simulation. We consider several environments of varying complexity as well as different pedestrian behaviours. Our results show that a DRL robot using the proposed planner is less likely to collide with pedestrians and exhibits improved social awareness when compared to a baseline approach using traditional path planner methods.
Migratable AI: Personalizing Dialog Conversations with migration context

The migration of conversational AI agents across different embodiments in order to maintain the continuity of the task has been recently explored to further improve user experience. However, these migratable agents lack contextual understanding of the user information and the migrated device during the dialog conversations with the user. This opens the question of how an agent might behave when migrated into an embodiment for contextually predicting the next utterance. We collected a dataset from the dialog conversations between crowdsourced workers with the migration context involving personal and non-personal utterances in different settings (public or private) of embodiment into which the agent migrated. We trained the generative and information retrieval models on the dataset using with and without migration context and report the results of both qualitative metrics and human evaluation. We believe that the migration dataset would be useful for training future migratable AI systems.
Robotic Grasping Estimator Based On Particle Swarm Optimization and Convolutional Neural Network

This paper proposes a method to estimate robotic grasping based on the adaptive acceleration coefficient and the adaptive inertia weight particle swarm optimization algorithm (AIWCPSO), and a convolutional neural network (CNN). The PSO variant uses its particles to extract object features from a image, while the CNN quantifies their probability of graspability. To attain graspability and repeatibility, the objective function includes not only the CNN probability but also a image-processing feature that pulls particles in the swarm toward a point of interest. Since the problem is stated as multiobjective, the elements within the objective function are equilibrated to ensure statistically an equivalent contribution of both terms. Once, the estimator completes the object analysis, the resulting grasping feature is reassessed by a confidence factor that aims at mitigating failures in the execution stage. Experiments show that the inference speed is considerably enhanced without compromising the accuracy of the method. In addition, tests in a robotic environment demonstrate the grasping potential of the estimator. Compared with other deep learning approaches based on the same data modality, the proposed method is directly applicable for tasks requiring robotic grasping.