Reviewerly/exHarmony huggingface dataset:
PERBEDAAN KOMPETENSI PETUGAS POLIKLINIK DALAM PENGGUNAAN SISTEM INFORMASI MANAJEMEN RUMAH SAKIT (SIMRS) SEBELUM DAN SESUDAH PELATIHAN DI RUMAH SAKIT UMUM DAERAH KECAMATAN MANDAU TAHUN 2018

SIMRS is a series of activities that cover all hospital services starting from data collection, data processing, presentation of information and analysis therefore the Hospital Management Information System must be carried out by each hospital in the delivery of services, therefore the need for officer competence includes knowledge, skills , attitude and behavior in the use of SIMRS. Mandau District Hospital in the implementation of services has been using SIMRS but is still constrained in its implementation so that it slows down the service process. The purpose of the study was to determine the differences in polyclinic officer competency in the use of hospital management information systems (SIMRS) before and after training at the Regional General Hospital of Mandau District in 2018. This type of research uses analytical quantitative methods with pre post test with controls, and interventions from each variable by conducting SIMRS training. Data analysis was carried out by univariate and categorical pairing with marginal homogeneity test. The results of the study were differences in knowledge (P = 0.000), skills (P = 0.002), attitudes (P = 0.000), behavior (P = 0.000) and competence (P = 0.000) before and after training in Mandau District Hospital. In this study, the researchers concluded that there were differences in the competence of polyclinic officers in the use of SIMRS including knowledge, skills, attitudes and behavior after SIMRS training. It is suggested the need for the development of material and technical training for SIMRS, and monitoring and evaluating the competency of officers in the use of SIMRS. Keyword: Knowledge, Skills, Attitudes, Behavior, Competence, SIMRS
The Causes of Grammatical Errors Made by EFL Students in Writing Essay

Writing an essay is one of challenging assignment for students, even an English department student get confused in writing a descriptive or narrative essay. Hence, there are many students who make some grammatical errors in writing an essay. This study aimed to investigate the causes of grammatical errors made by sixth semester English Study Program students in writing essay. The design of this study was qualitative with descriptive method. The researcher took 66 students as the subject of the study and open ended questionnaire as the instrument. The finding of this study showed that there were three causes of grammatical errors made by students, namely; carelessness, first language, and translation and the dominant cause was translation. The researcher also found that another causes of grammatical error were lack of vocabulary and lack of grammar. Mostly the students made error because of the translation method by using google translate or online dictionary. It can be concluded that the causes of grammatical error made by the students in writing essay at sixth semester students in the English Education Study Program at University of Muhammadiyah Bengkulu were carelessness, first language, and translation. Moreover, the dominant cause of misformation error done by the students was translation. It is suggested for the students to practice writing more frequently to minimilize the errors in writing essay. It will be better if the students did not use google translate or online dictionary much. For lecturer of writing subject, the results of this study can be one form of evaluation that can be used to know the students’ causes of grammatical errors in order to find out some relevant strategies to overcome the causes. By overcoming the causes of misformation and giving motivation to the students to write carefully, the lecturers can carry out better quality teaching and learning activities especially in writing skill.
Mitigation of Information Management Risks in Kenya

Digital information technology has continually embraced in many fields around the world. The Chief Information Officers and the MIS directors are always on toes to ensure the IT utilization is secure, and the attainment of the company’s needs. The development, management and maintenance of IT in the organization has become a challenge, the most crucial being on cybercrimes, information overloads, ever-advancing technology and the workforce with the desired IT skills. On one side are the pros of using IT in enhancement and on other ways to mitigate the cons that would risk the organization's performance. The two forces are antagonistic and call for understanding and appreciation of the challenges for effective and secure business operations. The named challenges limit the efficient operation of the company in all its branches. To conquer an enemy, one must know the enemy very well than themselves and know the battlefield even better. Many organizations try to bridge the gaps in their operations by utilizations of the technology; the success comes with a well developed and managed information system. It’s essential for the IT managers to acknowledge, poor IT designs, plans, selection, development and monitoring incentives are the key milestones to the failure of the projects. To conquer cybercrimes companies must ensure their security team is well trained and their electronics and websites are routinely maintained to cut off intruders. The SQL and other preventive measures must be strongly encrypted. Hacked systems lead to illegal acquiring confidential information, distortion, destruction and loss of information. Cyber legislations and security policies also assure data security. The challenges of key focus in Kenya include cybersecurity, information overloads, advancement and protection of the organization’s values, classification and management of data, and use of social media mobile arenas. The IT teams must ensure to reduce the information overloads and keep the organization informed and updated to enhance further its operations.
Current Situation Analysis and Development Strategy Research on Educational Live Broadcasting Technology Based on SWOT Theory in Post-MOOC Era

In the post-MOOC Era, with the rapid development of mobile Internet, live broadcast was more and more widely used in daily life. As a new online education mode, live broadcast plus education has exerted great influence on the current education mode. On the basis of sorting out the concept of educational live broadcasting and the current development situation of educational live broadcasting in China, this study analyzes the current situation of educational live broadcasting with SWOT theory, and proposes countermeasures based on the current educational reality, aiming to make educational live broadcasting better and more profoundly promote the development of education.
Analysis of algorithm support vector machine learning and k-nearest neighbor in data accuracy

Abstract K-Nearest Neighbor is a method of lazy learning method which is a group of instances-based learning. K-NN searches by searching for groups of objects in the training data that are closest to the object on new data or testing data. Support Vector Machine is a learning machine method that works with the aim of finding the best hyperplane that separates two classes in input space. School Achievement is an achievement obtained by serious learning and discipline. The category of outstanding students is to get a good average score and not have an attendance list, especially Absent (A) and a list of late attendance at school can be classified to obtain information on the accuracy of the data being tested. In the testing process both methods obtained good accuracy results between the two methods, namely K-NN obtained an accuracy of 88.52% while SVM is 91.07%.
Biblioteki w Alicante – relacja z wyjazdu szkoleniowego w ramach programu Erasmus+

The article presents history and present functioning of the University of Alicante (Spain) library system. The activities of Azorin Public Library of Alicante are also described.
A Multi-Label Machine Learning Approach to Support Pathologist's Histological Analysis

This paper proposes a new tool in the field of telemedicine, defined as a specific branch where IT supports medicine, in case distance impairs the proper care to be delivered to a patient. All the information contained into medical texts, if properly extracted, may be suitable for searching, classification, or statistical analysis. For this reason, in order to reduce errors and improve quality control, a proper information extraction tool may be useful. In this direction, this work presents a Machine Learning Multi-Label approach for the classification of the information extracted from the pathology reports into relevant categories. The aim is to integrate automatic classifiers to improve the current workflow of medical experts, by defining a Multi-Label approach, able to consider all the features of a model, together with their relationships.This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
ONLINE RESERVATION SYSTEM BASED ON E-COMMERCE IN COLEGA STORE YOGYAKARTA

Kedai Kolega is a business engaged in the production of food and beverages. Colleges Store provides purchase and reservation service. The problem at Kedai Kolega is the reservation process by coming directly to the place so as to make the cost and time inefficient for customers who are away from the location. Customers also can not make reservations outside the operator hours due to limitations of colleagues in serving customers in real time 24 hours a day, Rapid Internet development is the driving factor of e-commerce. The Internet is a global network that connects computer networks around the world. Using the Internet in this case E-Commerce will facilitate Kedai Kolega when performing data management more quickly and accurately and make reservations online. E-Commerce system is tested using black box and alpha test method. The results showed that E-Commerce is able to provide convenience to the colleagues in improving the quality of service to customers
SOFTWARE METHOD OF SCIENTISTS CLUSTERING BASED ON AUTHORS ASSOCIATION WITH PUBLICATIONS KEYWORDS

The article describes a software method that allows clustering authors based on their association with the keywords of scientific publications to search for potential like-minded colleagues and colleagues to develop collaborative research projects.The proposed work aims to demonstrate the potential and challenges facing working with Big Data.Big Data technologies make it possible to process a large amount of unstructured data, systematize them, analyze and determine patterns when the human brain will never notice them.The article describes the basic tools and methods that are used to process very large data sets.The MapReduse methodology implemented in Python and Apache Hadoop are used.For research a data set from a DBLP server is used.DBLP contained more than 1.2 million bibliographic records.The bibliographic records are contained in XML file2.The DBLP web server lists all known papers published by a person on her/his "person page".This simple mapping becomes tricky, as soon as a person has several names (synonyms) or if there are several persons with the same name (homonyms).The main obstacles are the bad habit to abbreviate (given) names beyond recognition and spelling errors.On the AWS m5.xlarge instance and Ubuntu Server 18.04 LTS (HVM), SSD Volume Type, 64-bit x86 is used.For processing data MapReduce are running on five nodes.Mapping part consists of parsing xml dataset.Tags <author>, <journal> and <title> tags from each <article> block is extracted.Then non-ascii characters from every parsed tag is removed.Title is divided into keywords.It is made lowercase and then we remove nonsense words from it, so, it will be like thematic keywords.Reducer part is collecting information for every author, made it as id for reducing.The author's name is compared in way that it written.As a result, the information for every author is collected about the journals where he was published and keywords in his works are collected too.The k-means algorithm is used for clustering.As a result of the analysis of these publications, the authors were divided into clusters depending on their keywords.The disadvantages and prospects of further use of the proposed method are given.
Image Transformation Based on Generative Adversarial Networks

Abstract Image transformation is a hot topic in the field of computer vision. Its purpose is to use the existing similar or semblable images to learn the mapping between the input image and the output image. Generative Adversarial Networks model is a powerful generative model with the idea of Zero-sum game theory, Co-training the two through the confrontation learning method of the generator and the discriminator, so as to estimate the potential distribution of data samples and generate new data samples. This paper is based on the generative adversarial networks and the existing network, the image transformation is realized by combining the two network structures of DCGAN and Cycle GAN. Experimental results show that this method not only effectively solves the problem that paired images are not easy to obtain, but also fully demonstrates the superiority of the generated adversarial networks in image transformation.
PENGOLAHAN AIR LIMBAH RUMAH SAKIT MENGGUNAKAN HORIZONTAL SUBSURFACE FLOW CONSTRUCTED WETLAND

Activated sludge is a wastewater treatment reactor widely applied for hospital. The reactor requires a mechanical aerator as a source of oxygen. At the same time, Subsurface Flow Constructed Wetland is rarely used. Both types of reactors utilize microbes in reducing pollutants of wastewater. The role of microbes in activated sludge is taken over by microbes that grow in the root zone of Typha latifolia and Vetiver sp. Two laboratory scale reactors were made to get serial data on the performance of the two plants in treating hospital wastewater. The result, the removal efficiency of COD on Q1 = 0.13 l/h and COD on Q2 = 0.43 l/h for Typha latifolia plants were 87.71% and 67.61%. On Vetiver sp. plants were 90,07% and 68,32%. The removal efficiency of BOD5 on Q1 = 0.13 l/h and Q2 = 0.43 l/h for Typha latifolia plants were 90.00% and 71.7%. On Vetiver sp. plants were 91.69% and 73.29%. The efficiency of Total Kjeldahl Nitrogen removal (TKN) Q1 = 0.13 l/h and Q2 = 0.43 l/h for Typha latifolia plants were 91.27% and 61.54%, whereas in Vetiver sp. plants were 92.01% and 62.68%. Horizontal Subsurface Flow Constructed Wetland is capable and feasible for hospital wastewater treatment. Keywords : Subsurface Flow Constructed Wetland , Typha latifolia , Vetiver sp .
CLOUD COMPUTING PRACTICES AND PERCEIVED BENEFITS BY SMES IN MALAYSIA: SOME EMPIRICAL EVIDENCE

Cloud computing can offer many benefits to small and medium-sized enterprises (SMEs) as cloud services can be utilized by SMEs by leasing the services from cloud vendors. Although still lagging behind the larger counterparts, more SMEs are starting to adopt cloud services, particularly in the developed countries. SMEs in Malaysia are also following suit, however, not much empirical studies have been conducted in a comprehensive manner to provide insights on the status and practices of cloud adoption among SMEs in Malaysia. The purpose of this study is to fill this gap. Using the survey method, a total of 387 responses were used for the descriptive analysis. The findings indicate that most Malaysia small businesses in both service and manufacturing sectors have substantial experience with basic cloud services and adopt similar practices like SMEs in the developed nations. The implication of the findings is that Malaysia SMEs are catching up with the global trend of utilizing cloud computing to improve the competitiveness of their business.
Unique Database for Self-Management Disease Applications

This paper presents a cloud database ecosystem for medical data (EMIM, https://www.emim.ro) where all three actors from the health system (physicians-patients-pharmacists) can interact and share the same common medical data sources. Based on this unique database, several applications included into self-management disease field have been built: assisting the patient in medication management, patient-doctor dialogue, telemedicine. The system implements the new GDPR rules by using the SMS codes sent to the patient's mobile.
PENERAPAN LOGIKA FUZZY DALAM PENGUKURAN TINGKAT KENYAMANAN TERMAL SUATU RUANGAN BERDASARKAN SISTEM VENTILASI

Thermal is a very important thing in influencing the level of comfort of a room. The important factor for the thermal comfort of a room is influenced by several factors, namely the height of the building which also affects the wind speed that enters the room, air temperature in the room, relative humidity level, the activity of the occupants That can affect the speed of metabolism and clothing imposed by the occupants of the room. PMV (Predicted Mean Vote) which has a range of-3 to 3 which represents the cold codition until heat, can be determined the value of its condition by using the fuzzy logic. The fuzzy logic can decide on which conditions the room is taking into account the weight of its membership.
Estimasi Proporsi Kesalahan Fonologi Pada Anak Pendidikan Anak Usia Dini (PAUD) Usia 3-5 Tahun Di Surakarta

Background: In providing education about everything a child should have from an early age does not have to do with the way parents are educating. It is related to her parents in everyday life and the background factors that color children's parents, whether related to the environment of her family, religion, culture, economics or the background of the education of the elderly. From the explanation it is obvious that parents play a very important role in the formation of child social behavior.The purpose of this research aims to determine the relationship of parental education level with the ability of phonology articulation in children aged 4-5 years in TK Sri Juwita Hanum Surakarta. Methods: Uses quantitative research with a correlational descriptive design. The research population is parents and students of TK Sri Juwita Hanum Surakarta with 30 samples of research samples. Data collection techniques by filling out questionnaires. Variable-free research i.e. the level of parental education and bound variables is the ability of phonological articulation in children aged (4-5 years). The statistical test used was Chi Square correlation test. Result: there is a positive and significant relationship between the level of parental education and the ability of phonology articulation in children aged 4-5 years in TK Sri Juwita Hanum Surakarta. Things his show with a p value of 0.013.Conclusion: of parental education affects the development of articulation in preschool age children (4-5 years old). A positive relationship means the higher the parent's education, the greater the influence on its phonological articulation ability. When children grow and develop both physically and mentally.
Analysis of PTN Mobile Return Network Architecture and Network Protection Mode

Modern communication network is an organic whole composed of a series of communication equipment, channels and protocols. Mobile communication network is an important part of modern communication network. With the gradual entry of mobile communication technology into the 5G era, the bearing problem of mobile return network has been paid more and more attention by the industry. Based on the structure of mobile return network, this paper analyzes the new requirements of mobile communication network in transmission and bearing, and discusses the related schemes and network protection methods of wireless base station return technology constructed by PTN (Packet Transport Network) equipment, so as to provide a reference for the construction of transmission network in mobile communication network.
Morphometric Analysis of 3D Soft-Tissue for Sexual Dimorphism in Human Face

Sexual dimorphism in Homo-sapiens is a phenomenon of a direct product of evolution by natural selection where evolutionary forces acted separately on the sexes which brought about the differences in appearance between male and female such as in shape and size. Advances in morphometrics have skyrocketed the rate of research on sex differences in human and other species. However, the current challenges facing 3D in the acquisition of facial data such as lack of homology, insufficient landmarks to characterize the facial shape and complex computational process for facial point digitization require further study in the domain of sex dimorphism. This study investigates sexual dimorphism in the human face with the application of Automatic Homologous Multi-points Warping (AHMW) for 3D facial landmark by building a template mesh as a reference object which is thereby applied to each of the target mesh on Stirling/ESRC dataset containing 101 subjects (male = 47, female = 54). The semi-landmarks are subjected to sliding along tangents to the curves and surfaces until the bending energy between a template and a target form is minimal. Principal Component Analysis (PCA) is used for feature selection and the features are classified using Linear Discriminant Analysis (LDA) with an accuracy of 99.01 % which demonstrates that the method is robust.
Why They Can't Write: Killing the Five‐Paragraph Essay and Other Necessities by JohnWarner (2018). Baltimore, MA: John Hopkins University Press ISBN: 978142142710, 288pp

LiteracyVolume 55, Issue 1 p. 77-77 Book Review Why They Can't Write: Killing the Five-Paragraph Essay and Other Necessities by John Warner (2018). Baltimore, MA: John Hopkins University Press ISBN: 978142142710, 288pp Dominic Wyse, Corresponding Author Dominic Wyse d.wyse@ucl.ac.uk orcid.org/0000-0001-8888-9032 Search for more papers by this author Dominic Wyse, Corresponding Author Dominic Wyse d.wyse@ucl.ac.uk orcid.org/0000-0001-8888-9032 Search for more papers by this author First published: 29 January 2020 https://doi.org/10.1111/lit.12213Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume55, Issue1January 2021Pages 77-77 RelatedInformation
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PEGAWAI TELADAN KEMENTERIAN AGAMA KABUPATEN DELI SERDANG DENGAN METODE ANALITIC HIERARCHY PROCESS

The absence of an exemplary employee election in the Ministry of Religion in Deli Serdang Regency has led to a decline in performance and performance of students. The ability to provide decision support systems is one of the interactive information systems that provide information, modeling and data manipulation. Decision support system for model employee selection is used not to substitute decisions, but support for decision making. Criteria set by the company in applying for credit are discipline, performance, commitment, responsibility and performance quality. With the AHP method, the criteria of interest intensity / priority scale are determined from the criteria. After carrying out the calculation process, the selection decision for employees and obtained from the ranking of the AHP method: 0.2669947 (rank 1), 0.25695721 (rank 2), 0.2446883 (rank 3), 0.229045 (rank 4). Keywords: motorcycle credit, SPK, AHP method.