Reviewerly/exHarmony huggingface dataset:
Analisis Rekam Medis Elektornik Rawat Jalan di Semen Padang Hospital dengan Metode EUCS (End User Computing Satisfaction)

Electronic medical records (RME) are defined as recording Electronic Information that is created, transmitted, sent, received, or stored in various forms, through an Electronic System, including a computer, which contains all patient data or information.Outpatient RME at Semen Padang Hospital has been going well, it's just that there are still some users not running it well.The purpose of this study was to analyze outpatient electronic medical records using the EUCS (End User Computing Satisfaction) method.This type of research is qualitative with a Case Study approach, conducted with in-depth interviews with medical record officers and doctors, and analysis of data processing using descriptive qualitative methods. The results of this study found that the outpatient application (RME) had been running smoothly, in terms of content it had been implemented well only that in the diagnosis display there was still a non-specific data structure, from the accuracy of the data it had been minimized by 90% in the presence of RME,and from the user they already understand and really understand, it's just that the doctor explains that the RME application is difficult to use because of the server constraints on the application,the format is in accordance with the needs of the user and in terms of time RME really helps officers more time efficient at work. So that this study concluded that the data structure on the RME display was as needed, it's just that there were still deficiencies in the data structure in the diagnosis section that was not specific in filling out the medical record. The data or information generated is accurate enough and there is no buildup of patients waiting for services in the clinic. Keywords: Electronic Medical Record, EUCS Method, Outpatien
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN MOBIL MENGGUNAKAN METODE SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE (SMART) (Studi Kasus : Agung Toyota Automall Kota Tanjungpinang)

AbstractTransportation is the movement of people or goods from one place to another within a certain time by using vehicles that are driven by humans, animals, or machines. The car is one of the needs that needs to be taken into account because the function of the car is very useful. Agung Toyota Automall has various types of cars with the Toyota brand that consumers can choose according to their needs. Various kinds of cars make consumers confused to choose it. Researchers consider it necessary to create a system, a decision support system (DSS) using the Simple Multi Attribute Rating (SMART) technique. The test was conducted with 5 determining criteria determined through 50 respondents questionnaire about alternatives in the form of car data available in the Agung Toyota Automall car showroom. aims to get the best car decision in the Agung Toyota Automall showroom in the city of Tanjungpinang.
An enhanced OFDM light weight physical layer encryption scheme

The broadcast nature of wireless networks makes them susceptible to attacks by eavesdroppers than wired networks. Any untrusted node can eavesdrop on the medium, listen to transmissions and obtain sensitive information within the wireless network. In this paper, we propose a new mechanism which combines the advantages of two techniques namely iJam and OFDM phase encryption. Our modified mechanism makes iJam more bandwidth efficient by using Alamouti scheme to take advantage of the repetition inherent in its implementation. The adversary model is extended to the active adversary case, which has not been done in the original work of iJam and OFDM phase encryption. We propose, through a max min optimization model, a framework that maximizes the secrecy rate by means of a friendly jammer. We formulate a Zero-Sum game that captures the strategic decision making between the transmitter receiver pair and the adversary. We apply the fictitious play (FP) algorithm to reach the Nash equilibria (NE) of the game. Our simulation results show a significant improvement in terms of the ability of the eavesdropper to benefit from the received information over the traditional schemes, i.e. iJam or OFDM phase encryption.
Application of Asp Technology in Dynamic Web Page Design

As a relatively mature server-side scripting environment, ASP technology has been widely used in the production of web pages. To combine the VB Script scripting language, with ASP technology to develop the content of the server side, can well achieve rich dynamic effect of web site. This paper introduces the ASP, a new technology to develop dynamic and interactive web pages, including its concept, characteristic, file, syntax, built-in objects, ActiveX, server components and proposes the concretely implementation of form collection and web database operation in the process of developing web applications by ASP
The event geological maps: a new predictive tool to identify potential NOA (Naturally Occurring Asbestos) lithologies, Example from the Pyrenees (France).

&amp;lt;p&amp;gt;The event geological maps consist in innovative numerical maps that were just designed and produced for the first time, as part of the RGF (&amp;amp;#8220;French Geological Referential&amp;amp;#8221;) mapping program in the Pyrenees. Rocks acquire their mineralogical, structural and textural characteristics through a complex geological history reflecting successive stages of transformation (i.e. metamorphism, deformation, alteration&amp;amp;#8230;), so called &amp;amp;#8220;geological events&amp;amp;#8221;. Classical geological maps can only represent some of these events.&amp;amp;#160; In the Pyrenean orogenic belt, which results from a polyphase tectono-metamorphic history over 600 Ma (from Precambrian to present), 3400 geological events were identified. Such geological events were classified by types (e.g. deposit, volcanism, intrusion, metamorphism, weathering, hydrothermal alteration&amp;amp;#8230;) and time periods. They were referenced into a database and associated to mapped features (120,000 polygons and lines), coming from a compilation of 60 geological maps at 1: 50,000 scale.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In the Pyrenees, Naturally Occurring Asbestos (NOA) mostly occur in specific lithologies such as ultrabasic, basic and intermediate plutonic rocks, and meta-limestones. These rocks may be affected by different metamorphic events (i.e. hydrothermal alteration, greenschist and/or HT-LP regional metamorphism, contact metamorphism). We performed a GIS treatment to produce a predictive map of potential NOA hosting lithologies. This treatment crosses lithological and selected geological event informations (e.g different metamorphic and alteration events).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Subsequent geological field investigations with associated sampling and laboratory analyses (combining optical microscopy, microprobe and SEM analyses) allowed us to identify and characterize fibrous and asbestiform mineralogical species. Results of this work particularly emphasize: (i) the importance of actinolite-asbestos in doleritic rocks, and (ii) the occurrence of fibrous actinolite/tremolite in different marbles and skarns. Finally, we present a 1: 50,000 scale map of potential NOA occurrences in the Pyrenees.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Conversely, field observations allowed us to improve both the lithostratigraphic and the event geological maps, in particular with the identification of geological domains where intense hydrothermal alteration was not previously mapped. All the data (maps of potential NOA occurrences, field observations and results of laboratory analyses) are stored in a geospatial database, partly accessible to the public. This work illustrates a possible use of geological event maps as a powerful innovative and predictivity tool. This approach will be useful in the context of the evolution of French regulations now imposing the search for asbestos before all types of works in natural environments.&amp;lt;/p&amp;gt;
Hybrid Evolutionary Algorithm for Travelling Thief Problem

Travelling Thief Problem (TTP) is a benchmark problem, where two sub-problems, namely Travelling Salesman Problem (TSP), and 0/1 Knapsack Problem (KP) interact. Since, the TSP and KP both comes under NP-hard, so the complexity to solve TTP will be decided by the investigation of inter-dependency factor. The objective of TTP problem is to suggest a picking plan with a best tour to a thief in such a way that the thief visits all cities exactly once with the collection of items in his knapsack leading to maximum benefits. With increasing size of TSP instance, a well-crafted search technique is required to maintain the inter-dependency. Here, we emphasis on the inter-dependency to design a solution framework which balance the interwoven between individual components. In this article, we suggest a hybrid Evolutionary Algorithm (EA) framework that strengthens the inter-dependency by giving best tour and picking plan concurrently. Here, we use a local search routine to improve the tour as well the objective function. Additionally, one more heuristic about KP component, is used for a better picking plan. On applying the proposed framework we have found that it gives most promising results compared to the classical EA approach.
PREDIKSI INFLASI BIAYA HIDUP MENGGUNAKAN METODE RADIAL BASIS FUNCTION (RBF) (STUDI KASUS: KOTA TANJUNGPINANG)

The increase and decrease in prices of goods that occur in general in the city of Tanjungpinang has a worrying impact on society. The increase and decrease that occurs not only in goods, but also in services. The most frequent increase and decrease in goods and services is the people's basic needs or the decline in the selling power of a country's currency. Inflation that often occurs due to the high demand for goods and services, while the stock of goods that are not available, this causes the price of goods and services to soar. Because of this research was conducted with data patterns that have influence variables such as foodstuff, processed food, housing, clothing, health, education, transportation, general data, used as many as 108 data, taken from January 2009 to december 2010. Research This is done by using the ANN method, Radial Basis Function, on the RBF method of training which is relatively shorter and produces a good prediction level. In this RBF method has stages such as the random center selection. From the data as much as 108 data divided into 2, as much as 74 data as training data, and 33 data as test data, in the training and testing using 25 centers get an average RMSE result of 0,145 for training and an average RMSE result of 0,006 for testing data.
Assembling versatile mobile application

In the previous chapter, we have implemented the retrieve part of the mobile application. Here, we will learn how to post data and attach images to our records. We will go in baby steps and discuss the process from capturing incoming data to forms and other third-party solutions to help us handle and validate information. Creating new records is an essential part of any web app. Along with that, an Image is a vital part of any new record, especially for mobile users. That is why we will break down to the smallest element handling an Image in mobile platforms. Finally, we will take a look at authentication options in Django REST.
Implementation of Agile Network Architecture to Support a Digital Eco-System Using the I.T.I.Lv4 Method at PT. XYZ

Technological developments have changed business activities, one of which is a digitalbusiness. Digital business can accelerate a business process by utilizing very strategictechnology. Network infrastructure to meet digital business needs refers to a combination ofnetwork hardware such as servers, switches, firewalls, and other hardware. Traditionalnetwork systems can no longer accommodate these services because they only refer totechnology and connectivity. Agile Network-based network architecture development designhas the advantage of the fast implementation of a new business model. This design aims tomeet the needs of PT. XYZ for business development in the digital world which isimplemented in the Data Center. The design of this infrastructure development refers to theIT service management (ITSM) model, namely I.T.I.Lv4 because it is supported by anexplanation of the processes that can be carried out in the implementation of governance andinformation technology management.
Gaya kepemimpinan transformasional dan situasional di perpustakaan akademik

Introduction. In academic libraries, transformational and situational leadership is important as it can change organizational behavior and increase the staff performance.There is limited discussion types of leadership. This research discusses two types of leadership and develops a framework in academic libraries of ideal leadership. &#x0D; Data Collection Method. The paper used a qualitative approach and considered literature review from books, journals, and other sources related to the theme.&#x0D; Data Analysis. The paper analyzed various literature, examined and selected data, developed a theoretical framework, and conceptualized the contents. &#x0D; Result and Discussions. Transformational leadership in the academic library is appropriate to create a vision, however, staff commitments develop slowly. The leadership can be appropriately applied to the academic library with a few human resource as itemphasizes two-way communication to motivate staff. Meanwhile, in the situational leadership, organizational vision can be achieved when staff commitments are developed effectively. The situational leadership can be implemented in the academic libraries with large number of staff by using direct and two-way interaction, as staff motivation may increase when they are trusted.&#x0D; Conclusion. The transformational and situational leadershipsare effective when applied to the proper circumstances to achieve set goals. Library leaders need to consider strengths and weaknesses of the leadership style.
Effective Online Lecturing in Islamic Business School During a New Normal Era

The purpose of this study was to assess platform preservation in online learning based on subject type and skills to be achieved. A challenge in the new normal era that requires online learning, but internet access is still considered expensive to reach financially. The new in this research is a topic that examines online learning for Islamic business schools under the ministry of religion, which, of course, has different characteristics from other business schools in Indonesia. Research Methods is using a mixed-method. Descriptive statistics using 86 respondents were used to explore the right platform to improve competence. Qualitative methods are used to find out the reasons for the preference for platforms and explore the problems that exist in using learning platforms. The use of digital platforms as online learning media in Islamic business schools needs to pay attention to the conditions of the ability to access the internet and gadgets, interactions, features that help to learn, and human factors. Necessary to collaborate with several learning media according to the needs and learning objectives.
Photography as a Practical Psychologist's Tool

The article compares approaches to using photography as a tool of a practical psychologist: phototherapy; therapeutic photography; photo-art-therapy; creative self-expression therapy. The main techniques that use photography for psychological help are described, the psychological functions of photography are indicated. The article describes the method of phototherapy in the framework of a psychological project «PhotoProYavlenie» («Photo as manifestation»).
Towards a Risk Assessment Model for Big Data in Cloud Computing Environment

Cloud computing gives a relevant and adaptable support for Big Data by the ease of use, access to resources, low cost use of resources, and the use of strong equipment to process big data. Cloud and big data center on developing the value of a business while reducing capital costs. Big data and cloud computing, both favor companies and by cause of their benefit, the use of big data growths extremely in the cloud. With this serious increase, there are several emerging risk security concerns. Big data has more vulnerabilities with the comparison to classical database, as this database are stored in servers owned by the cloud provider. The various usage of data make safety-related big data in the cloud intolerable with the traditional security measures. The security of big data in the cloud needs to be looked at and discussed. In this current paper, my colleagues and me will present and discuss the risk assessment of big-data applications in cloud computing environments and present some ideas for assessing these risks.
Transfer Learning in Artificial Bee Colony Programming

Artificial Bee Colony Programming (ABCP) is a machine learning method based on Artificial Bee Colony (ABC) algorithm used for parametric and structured optimization problems. It is used for the solution of symbolic regression problems as Genetic Programming (GP). On the other hand, transfer learning is the approach of using the knowledge of a system trained for a particular problem in another problem having a similar distribution. There are a number of research studies in the literature reporting the successful applications of the transfer learning to machine learning and GP. In this study, the transfer learning approach is applied to ABCP for the first time and all of the new methods created this way are named as ABCP-T. As a result of the experiments conducted for the symbolic regression problems in the literature, it is observed that ABCP-T gives better results than the standard ABCP.
PENGARUH PENGGUNAAN MEDIA BERBASIS ANDROID TERHADAP PENGETAHUAN BANTUAN HIDUP DASAR PADA MAHASISWA KEPERAWATAN

One of the student learning achievements in the emergency course is being able to carry out basic life support (BLS) procedures. With the development of mobile technology, mobile learning / m-learning is a potential for BLS learning. The purpose of this study was to determine the increase in student knowledge about BLS after using an android based application. Respondents in this study were 49 second year Bachelor of Nursing Students, STIKES Surya Global through simple random sampling. The method used to see student knowledge regarding the impact of using Android-based applications, using the onegroup pretest-posttest design pre-experimental approach. The result of this research is that there is an increase in BLS knowledge after using the AndroLifes application, because the benefits of smartphones are for learning and can strengthen knowledge, and smartphones are also proven to increase knowledge, so that it is widely used by students for learning because it contains complete content such as text, images, and audio-videos. It can be concluded that android-based applications can increase knowledge of BLS
Design of a Category Independent, Aspect Based Automated Opinion Analysis Technique for Online Product Reviews

ABSTRACTCustomer feedback in the form of online reviews is an important source of information to manufacturers or service providers for evaluation of their products or services. Online reviews also help potential buyers in making their decisions.  Manual checking of these huge amount of unstructured texts is time consuming. Several attempts have been made for opinion aggregation of online reviews but a generalized automated technique has yet to be developed. In this work, an efficient rule based technique for aspect wise summarization of online product reviews irrespective of their categories has been designed. The proposed technique develops the rules for extracting aspects and associating the opinion words to the respective aspects followed by effective grouping and summarization of aspect-opinion pairs into human interpretable form. The algorithm has been implemented on Amazon Product Reviews and evaluated against manually annotated ground truth. The result shows promising similarity with human judgement.
Airflow-acoustic interactions in speech production research

Speech production involves air traveling from a reservoir (the lungs) through various ducts (the bronchi and trachea, the vocal and nasal tracts), past various structures at which sounds can be generated by the flow of air. Some structures (e.g., the vocal folds or the tongue tip) can be positioned so as to self-oscillate, generating quasi-periodic sound; some (e.g., the lips or the tongue tip) can be positioned to create a constriction small enough to generate turbulence, and thus turbulence noise. These sounds excite the resonances of the tract. They can also interact, as when the sound generated by vocal fold vibration modulates the turbulent jet formed at a downstream constriction. It would seem to be straightforward to predict the sound that propagates through the tract and is radiated externally, except that the tract changes shape continually; the walls of the tract vary in compliance, from hard (e.g., teeth) to yielding (e.g., cheeks); and in spite of co-opting many types of medical imaging, it is very difficult to measure the interior shape of the tract accurately and without disturbing either the speech or the speaker. Some acousto-fluidic interactions that occur during speech, and the ways they have been modeled, are discussed.
Analysis of Computer Information Processing Technology Under the Background of Intelligent Big Data

In recent years, the development trend of computers has been rapid. With the increase of more digital information technology methods, the flow of data information has been growing, and the methods of information processing have been continuously updated. The technical requirements have also been constantly improved. The rise of the Internet has brought convenience to people's production and life, but security issues such as hacker attacks and computer viruses have become increasingly prominent. This paper analyzes according to the current trend of computer information processing technology, and combines the intelligent big data information technology means to explore the scientific and reasonable use, which is intended to provide more computers for technical staff and users. The perspective aims to promote the technology in the context of big data.
Announcing the demise of the Digital Native

We challenge the assumption that students entering higher education are digitally prepared to navigate a digital learning environment and explore strategies to ensure students are able to develop into digitally literate graduates. Students from low SES areas at poorly digitally resourced schools tend to be less digitally fluent than students from high SES areas at well-resourced schools. Digital fluency is defined as the ability to create, re-formulate knowledge and to move with ease in a digital environment. Digital literacy, the foundation for digital fluency, is the ability to identify and use technology confidently, creatively and critically to effectively meet the demands and challenges of living, learning and working in a digital society (Coldwell-Neilson, 2018). Supporting Russo's findings, Coldwell-Neilson found that there is a significant mismatch between academic staff expectations, and their observations, of students' digital literacy capabilities. Therefore, digitally underprepared students could be disadvantaged if unsupported in a digital learning environment. Prenksy's (2001) concept of a Digital Native, defined as those who grew up with technology was flawed. Research demonstrates that extensive use of mobile technologies does not readily translate into being digitally literate nor does it provide the skills needed to navigate a digitally enhanced learningenvironment.