Reviewerly/exHarmony huggingface dataset:
Kombinasi Voice Note dan Mind Mapping dalam Pembelajaran Bahasa Indonesia secara Daring Masa Pandemi Covid-19

Online learning is one of the alternative solutions set by the government in an effort to carry out an educational climate during the Covid-19 pandemic. Online learning patterns at least require teachers to try to find ways to make distance learning fun and can meet the needs of students for scientific material. The combination of voice notes and mind mapping is an alternative that can be used as a means and media for online learning. The assumption is that most of the participants currently have a WhatsApp application so that it will not make it difficult for them with regards to devices or quotas. Meanwhile, for making mind mapping students can make their versions according to their respective versions so that they will get the sensation of learning while playing. Therefore, the problems of this article are Indonesian language learning technical with a combination of voice notes and mind mapping; and strengths and weaknesses of the implementation of learning Indonesian with a combination of voice notes and mind mapping. The research method used is descriptive qualitative with content analysis. The result of the research is that a combination of voice notes and mind mapping can be used for learning Indonesian online by following the proper technical implementation. The combination of the two has a positive and negative impact on learning. Keywords: Voice Note, Mind Mapping, Indonesian Language Learning
Children’s safety and security in non formal pre-primary schools: The intervention measures

This study sought to come up with intervention measures that could be put in place to mitigate the challenges experienced in non-formal schools to enhance safety and security of children. Purposive sampling was used to select Nairobi City County and all the pre-primary schools attached to non-formal schools in informal settlements in the county and the head teachers/managers and teachers working in these pre-primary schools. A sample size of 54 pre-primary schools was selected. A total number of 136 participants from the sampled pre-primary schools participated in the study comprising of 78 preschool teachers, 54 head teachers, and four education officers. The findings revealed various intervention measures by participants such as intervention by: county government, school management such as picking and dropping children, fencing school and having lockable gates.
Semi-Supervised Spatial Attention Method for Facial Attribute Editing

In recent years, facial attribute editing has been successfully used to effectively change face images of various attributes based on generative adversarial networks and encoder-decoder models.However, existing models have a limitation in that they may change an unintended part in the process of changing an attribute or may generate an unnatural result.In this paper, we propose a model that improves the learning of the attention mask by adding a spatial attention mechanism based on the unified selective transfer network (referred to as STGAN) using semi-supervised learning.The proposed model can edit multiple attributes while preserving details independent of the attributes being edited.This study makes two main contributions to the literature.First, we propose an encoder-decoder model structure that learns and edits multiple facial attributes and suppresses distortion using an attention mask.Second, we define guide masks and propose a method and an objective function that use the guide masks for multiple facial attribute editing through semi-supervised learning.Through qualitative and quantitative evaluations of the experimental results, the proposed method was proven to yield improved results that preserve the image details by suppressing unintended changes than existing methods.
SISTEM INFORMASI JASA LAUNDRY BERBASIS WEB MENGGUNAKAN PENDEKATAN WATERFALL

Gaul Laundry is one of the businesses engaged in laundry services for the Tangerang city area which has services such as complete washing (dry cleaning and ironing), or ironing only. The services at Gaul Laundry have not used a computerized system starting from the process of recording customer data, transaction data, and making handover notes which are still done manually, the data storage system for each activity is stored in a ledger so that archives accumulate and data security is not guaranteed, besides that the process of making transaction reports, slow data retrieval, and calculating large amounts of data is difficult to do which has an impact on the emergence of administrative problems and customers have to come to the location to check order status, this requires the use of Information Systems at Gaul Laundry. The information system built in Gaul Laundry is web-based. The method used to build the IS is the waterfall method and the system analysis method using PIECES. The results of this study are the system can make it easier for customers because all processes can be seen through the application, both checking order status, outlet locations, product types and for the owner or admin to process and store customer data easily and safely and can view and save profit reports. make a loss. Keywords : Laundry, PIECES, Waterfall
Pilot Study of an Electronic Laboratory Notebook for Research and Development

The laboratory notebook is the fundamental record for research and development. The emergence of cloud-based digital tools to replace or augment the laboratory notebook has shown promise for groups that are multidisciplinary, working asynchronously, or in multiple locations. This paper details a recent pilot study conducted by Sandia National Laboratories (SNL) comparing an electronic lab notebook (ELN) with traditional paper lab notebooks (PLN), including members of SNL’s Primary Standards Laboratory (PSL). Partly motivated by a related pilot study conducted at the National Institute of Standards and Technology (NIST), the focus of the present study was on the integrability of an ELN within the unique constraints of a national lab, including security protocols that limit cloud capabilities and limited WIFI. The study used Microsoft OneNote and commercially available mobile computing hardware. The pilot included 18 participants from the PSL, biosciences, and materials science/engineering labs. In addition to OneNote, participants were provided one of two options for a computer to be used as their note taking device (including a stylus). Usability and gap analyses, as well as interviews with pilot participants were conducted by members from Sandia’s human factors group. Findings from this study indicate that ELNs may be particularly useful for teams where sharing of procedures and results is important. Participants believed that use of the ELN increased organization of their work and facilitated reporting much more than paper lab notebooks (PLNs). Other benefits included searchability and capability for access on multiple devices. Many of the identified drawbacks were specific to the unique constraints of working at a national lab, but some constraints are more general (e.g. use of ELNs in wet labs where hazardous materials may be of concern). Overall, it was found with proper training, collaboration on best practices, and technical support, that ELNs appear to be a promising tool for modernizing recording practices in research. Some examples from PSL will be highlighted, including R&amp;D for qualifying measurement systems, calibration processes, and procedures.
On the chess prototypes of Vladimir Nabokov's novel The Defense

The article is devoted to discussing the likely prototypes of the figure of Luzhin - the protagonist of V. Nabokov's novel The Defense. Studying the biographical and chess contexts, analyzing the plot components of the novel related to the game, and taking into account the psychological aspects of the early XX century chess history, the authors prove that the versions of the main character's prototypes presented in previous studies of Nabokov's works are controversial. Among these prototypes are the chess players famous at different periods of the past, sharing only one thing with Nabokov's hero – a mental disorder at the end of his life. The authors of the article present and summarize new facts, not considered before, which are somehow reflected in the text of the novel, and the circumstances of the chess history and the world around it taking place at that time. This data became the basis for a new version that one of the prototypes of the protagonist's “chess impersonation” in the novel The Defense could be the Russian (and later Danish – by new citizenship) chess grandmaster Alexander Nimtsovich, whose life path crossed Nabokov's more than once. The famous chess opening “The Nimtsovich Defense” finds compositional and motif parallels in the corresponding scenes of the novel, and the narrator's reflection (close to the hero's reflection) on the specifics of playing chess is quite consistent with Grandmaster Nimtsovich's chess ideas, summarized by him in his book My System (1925). One of Nimzowitsch's biggest successes was winning the tournament in Karlovy Vary (Czechoslovakia) in July-August 1929 – at the very time when Nabokov was busy working on the text of his novel The Defense.
Support for Deploying Business Processes for the Interaction Between IP Network and Transport Network Management Systems

Research institutions, individuals and some standardization organizations are provided with several solutions for integrating the IP network and the transport network management. These solutions, however, focus only on the technical aspects of interoperability between the IP network and the Transport Network Management Systems (T-NMS). The paper addresses the interoperability problem from a business process perspective. Web Service Business Process Execution Language (WS-BPEL) is used to describe and align the processes of the IP Network Management System (IP-NMS), T-NMS and a mediator that works between those management systems. In addition to this, the performance of the mediator is compared for processing single and multiple requests in terms of time, reliability and cost of process. The results showed that it is economical and timesaving to process multiple requests at a time, while single request gives higher reliability. It is believed that the solution would provide high flexibility and lead to an effective network management interaction between IP-NMS and the T-NMS.
LEBIH PRODUKTIF DI ERA NEW NORMAL DENGAN LOKA SMART TABLE

In Indonesia, waste is a serious problem and has a negative impact on various groups. Seeing thisproblem, the author thought of making a work table & study table that applies the theme of eco design& sustainable design, where 50% of the material is made from processed HDPE plastic waste andother environmentally friendly materials. This theme was chosen so that every product that is maderemains constant. environmentally friendly and has a good impact on the environment. In addition tothe theme, this table also has a modern minimalist visual concept with a touch of eco living so thatthis table sticks to its original goal of reducing waste in Indonesia. In addition, this table alsopresents several IOT-based smart home features such as Bluetooth Speakers, 3 12v Charging Ports +3 USB Ports, and LED Light which can be controlled using electronic devices such as Cellphones &Laptops. This feature is embedded so that users can be more productive during WFH (Work FromHome) & SFH (Study From Home).Keywords : Waste, New Normal, Loka Smart Table, Sustainable Design
Technology Acceptance within Informal Personal Learning Environments: A Qualitative Analysis

Creating and using informal personal learning environments (IPLEs) enables personalisation of learning to individual needs. A comprehensive understanding of factors impacting technology selection and acceptance in IPLEs is still lacking. Drawing on 20 in-depth interviews with undergraduates and mind maps of their IPLEs, this paper presents a discussion of the factors effecting technology selection within IPLEs. Seven factors related to technical/operational capability and critical thinking ability, two key components of digital literacy are discussed. The paper suggests that existing models of technology acceptance need to be modified to include factors such as choice, individuals’ tendency to exploit the social capital of the IPLE and digital literacy to understand technology acceptance within IPLEs. It proposes a conceptual framework of the factors which could be used to guide future research on appropriation of ubiquitous technologies for effective teaching and learning. It concludes with a discussion of the implications and future research opportunities. Full paper available at https://aisel.aisnet.org/pacis2019/173
Investigation of the Status Quo and Promotion of Financial Management in Enterprises

In day-to-day operation and management activities, attention is paid to preventing and controlling financial risks, which will prevent risks or minimize losses. Methods: The current state of financial management in companies is analyzed, and then how to effectively prevent and promote measures is systematically discussed.Results:Firstly, a multi-fractal spectrum program design algorithm is constructed and multi-fractal spectrum analysis and feature derivations are carried out. Then, several companies are selected as research objects, and the financial management of the company's operations and stock price changes and tests are simulated.Conclusion: It can be seen that the algorithm constructed in this paper can predict the stock price through the shape of the bell-shaped spectrum and has high accuracy.
Wearable Breathalyzer: a Simple Concept that Uses Mobile Device Existing Optical Components

Alcohol abuse is a global concern. Having a breathalyzer integrated in a smartphone, a smartwatch or any wearable could be the solution to avoid many tragic events. We present a prototype of a mobile screen integrated optical breathalyzer.
A Security Data Sharing Model for Cloud Network

With the continuous development and wide application of cloud computing technology, its security threats are also increasing, especially in data security sharing and user privacy security protection. Therefore, it is very necessary to establish a security and reliable data sharing model. Combined with blockchain technology, this paper proposes a security data sharing model for cloud network. Blockchain has the characteristics of non-forgery and traceability. By storing the user identity information into the blockchain, not only the authentication efficiency of the user identity can be improved, but also the security of the data sharing system can be improved. At the same time, bilinear mapping and attribute signature technology are used to realize mutual authentication among different entities in domains, secure data sharing and secure interoperability among domains are protected. In addition, the sharing model has the characteristics of low network delay, supporting massive data access and elastic infrastructure. After proof and analysis, the scheme has better security and performance than other references.
BARRIERS OF SME'S IN KOSOVO

Small and medium enterprises (SMEs) play a very important role for the economic success of any country, due to their contribution to the functioning of the economic network, job creation, development of entrepreneurial skills, innovation and the improvement of economic well-being. For the functioning and development of SMEs also plays an important role their financing, which is defined as key factors for the functioning of the business, as well as for its long-term development. Despite their importance in the economy, they face a number of obstacles that affect their development, where in most research of SMEs in Kosovo access to finance is considered as the main barrier. The purpose of this paper is to identify and analyze the barriers faced by small and medium enterprises (SMEs) in Kosovo during the exercise of their business activity and is based on quantitative data using the quantitative method. Data collection was conducted through a survey conducted with 200 SMEs and the instrument used for data collection is the questionnaire. Assessing barriers to doing business by businesses themselves is an important insight which serves various entrepreneurs in an effort to improve the business environment. Despite the importance of small and medium enterprises in their role in the economic development of the country, we can say that the business environment has not always been favorable for these enterprises. From this research we can conclude that small enterprises in our country are not sufficiently developed they face many problems during the development of their activity. The study concludes with a number of conclusions, where these can address a large number of obstacles faced by businesses on the path of doing business in Kosovo, trying to create a conducive environment in which companies can be helped to overcome, or face these obstacles.
Improving Speaking Skills Using the Cooperative Method Jigsaw Technique for Third Grade Students of SD Negeri 3 Kedungbanteng Banyumas

This research has a goal that can be formulated, among others (1) describes improving speaking skills through cooperative methods of jigsaw techniques in students of grade III State Elementary School 3 Kedungbanteng Banyumas;Â and (2) describe changes in the behavior of students of class III Elementary School 3 Kedungbanteng Banyumas after being given learning speaking skills through cooperative methods jigsaw techniques.Â The method used is PTK.Â In the PTK method researchers help teachers overcome problems learning speaking skills in the classroom.Â Learning outcomes speak cycle I 45%, cycle II 55%, and cycle III 70%.Â The quality of speaking learning, cycle I 46%, cycle II 76%, and cycle III 87%.Â In accordance with the results shown, there is an increase in learning speaking skills with cooperative methods of jigsaw techniques.
PENENTUAN TEKNIK SEARCH ENGINE OPTIMIZATION (SEO): A SYSTEMATIC LITERATURE REVIEW PADA PEMASARAN ONLINE

Along with technological developments, online marketing has become a popular marketing strategy in the digital era, especially in the the Covid-19 pandemic. Restrictions on social activities and activities outside the home make many people do all their activities online. The existence of these conditions will indirectly increase public interest in shopping from home to meet their needs. The significant increase in internet users also provides enormous opportunities for marketing products online through the website. However, this opportunity is not matched by maximizing the use of online marketing tools, especially Search Enginge Optimization (SEO). Therefore, SEO techniques are needed to maximize marketing through the website. The problem formulations in this study are (1) How are the techniques of implementing Search Engine Optimization (SEO) on web pages for product marketing? (2) How does Search Engine Optimization (SEO) affect online product marketing? The research method used in this study was the Study Literature Review (SLR) which was adopted from the Kitchenham and Charters research. The results suggest that there are 3 techniques for implementing Search Engine Optimization (SEO) on website pages for online marketing. This study also suggests that the implementation of SEO on web pages is very influential for product marketing, as indicated by an increase in SERP (Search Engine Result Page) rankings and website users
Some Aspects of the Influence of Population Diversity on the Performance of Differential Evolution

This paper presents a study about some aspects of the influence of population diversity on the performance of the Differential Evolution technique. In order to accomplish this, the referred algorithm is tested with different benchmark functions widely used in the literature, and the performance results are analyzed and discussed by associating changes in the population diversity with changes in the evolution of the best solution over the generations. The objective of this work is to investigate the pattern of diversity behavior throughout the optimization process through graphs results and, then, evaluate how sensitive is the technique performance when associated with the population diversity behavior. This work can assist the implementation of new operators and strategies, which will permit the Differential Evolution technique to have a better performance.
Domain-Independent Natural Language Processing of text using Unsupervised Translation

NLP is one of the very important domains of artificial intelligence. Nowadays, advancements are being made and NLP is one of the most developing fields. In this paper, we offer a mutual use of unsupervised translation with n-grams and Natural Language Processing techniques to challenge the difficulty of unsupervised translation extraction from textual data. To build a Text Meaning Extraction System, we have to deliver one important element which is input text. This studypresented a different algorithm to work out resemblances between natural languages, by using sequence package analysis and changing them into n-grams. Whenever the sentences that are grammatically difficult and quite lengthy are applied to see the results of the presented algorithm, there are quite efficient results in a semantic reaction. To enhance the experience in the field of AI and search engines, this research paper shows how to improve the handling capability of fuzzy concepts within computers. For example, when search jobs are executed in search engines small textual concepts or sentences might be semantically formed to switch the keyword-based queries. This ability may be functional to intelligent agents to even the procedure of communication between humans and machinery.
Local Explanations for Clinical Search Engine results

Health care professionals rely on treatment search engines to efficiently find adequate clinical trials and early access programs for their patients. However, doctors lose trust in the system if its underlying processes are unclear and unexplained. In this paper, a model-agnostic explainable method is developed to provide users with further information regarding the reasons why a clinical trial is retrieved in response to a query. To accomplish this, the engine generates features from clinical trials using by using a knowledge graph, clinical trial data and additional medical resources. and a crowd-sourcing methodology is used to determine their importance. Grounded on the proposed methodology, the rationale behind retrieving the clinical trials is explained in layman's terms so that healthcare processionals can effortlessly perceive them. In addition, we compute an explainability score for each of the retrieved items, according to which the items can be ranked. The experiments validated by medical professionals suggest that the proposed methodology induces trust in targeted as well as in non-targeted users, and provide them with reliable explanations and ranking of retrieved items.