Reviewerly/exHarmony huggingface dataset:
MODELING OF ELECTRONIC STUDENT HEALTH RECORD FOR MONITORING STUDENT’S HEALTH BY COMMUNITY HEALTH CENTER, SCHOOL AND PARENTS IN INDONESIA

Schools regularly collect student health data. School health is organized to improve the ability of students to live healthy so that students can learn, grow, and develop in harmony and become quality human resources. In Indonesia, school health priorities are included in the 3rd National MediumTerm Development Plan strategy. However, in Indonesia students, health data is underutilized because data documentation on paper causing some difficulties in terms of storage, use for monitoring and further analysis. The participation and involvement of parents, schools and community health centers in monitoring the health status of students today is still very limited due to the lack of information that can be accessed easily. Objectives: To design a student health record application model that can display student health examination results and connect the data to community health centers, schools and parents in real time. Method: Designing student health record application model with the context diagram, Entity Relationship Diagram (ERD), Table Relational Diagram (TRD), and user interface input and output. Results: The results of this study are a comprehensive student health record system model. The student health record will be applied in the form of mobile devices used by students and parents, which are connected to schools and community health centers by web-based platform. Conclusions: The student health record application model shows a systematic solution that is user friendly, immediately captures data, displays the dashboard in real time, directly connects to parents, schools and community health centers. All of this in the future if implemented properly can early detect student health problems and monitor the health status of students. Keywords: Student health record, real-time data, web-based application, dashboard, monitoring student’s health
DAMPAK IMPLEMENTASI PEMBELAJARAN DARING PADA MASA PANDEMI COVID-19

At current, the Covid-19 pandemic is a global health threat with confirmed cases and high mortality. WHO declared this outbreak a global pandemic because the transmission of this virus was very fast and most countries in the world also exposed to it. Recent data updating the number of confirmed patients worldwide is 23,491,520 positive cases. Indonesia is one of the countries that has been exposed to this virus the beginning of March until now on 25 August 2020, there were 157,859 confirmed cases spread across 34 provinces and 415 districts / cities. The purpose of this study was to identify the impact the teachers, students and parents felt during the Covid 19 pandemic during the implementation of online learning. This study used a method descriptive analysis content. This method is used to describe some information about the impact of the Covid-19 pandemic on implementing online learning. The results of this study are the impact on teacher performance, that is, the loss of teacher motivation in teaching and there are teachers who do not understand use of electronic devices, the impact on the learning process is that students are not familiar with the distance learning process,Impact on parents as student guardians is issue between students and teachers and economic conditions can affect the learning process of the students. In the midst of this pandemic, parents are very influential in children's development, such as trying to create a supportive environment to motivate children in learning with these different situations, and the government is expected to participate in embracing the complaints and needs of children in learning, for example internet quotas. Hopefully with joint efforts, the pandemic will end quickly and we can return to building a pleasant situation better than before.
Analisis Dampak Perubahan Artefak Kebutuhan Berdasarkan Kedekatan Semantik Pada Pengembangan XP

The Extreme Programming (XP) development method is popular because of the flexibility of the development process, it can accommodate changes quickly. But this method has a weakness in terms of documentation. It is expected that the speed of discovering which parts of the source code need to be changed will be greatly improved by analyzing the impact of changes on the requirements document. In this study, a method of analyzing the impact of changes is proposed by tracing changes in the artifact of the need to find out the source code that occurs. Early language methods and semantic approaches are used. Based on the proximity of the semantics, it will be analyzed to find out the elements in the source code that use the Spearman Correlation Coefficient. The test dataset in this study consisted of the source code in the PHP programming language as well as the functional requirements of the software. Requirements change list is generated by analysis of the latest 2 (two) expert versions of the source code. The changing needs are described in a user story document. Based on the test results in this study, the average precision was 0.1725 and the average recall value was 0.6041.
Order Reconfiguration Under Width Constraints.

In this work, we consider the following order reconfiguration problem: Given a graph G together with linear orders ω and ω' of the vertices of G, can one transform ω into ω' by a sequence of swaps of adjacent elements in such a way that at each time step the resulting linear order has cutwidth (pathwidth) at most k? We show that this problem always has an affirmative answer when the input linear orders ω and ω' have cutwidth (pathwidth) at most k/2. Using this result, we establish a connection between two apparently unrelated problems: the reachability problem for two-letter string rewriting systems and the graph isomorphism problem for graphs of bounded cutwidth. This opens an avenue for the study of the famous graph isomorphism problem using techniques from term rewriting theory.
Pengembangan Aplikasi Progressive Web Application (PWA) Untuk Pembelajaran dan Evaluasi Kelas English Grammar Online Course

Abstrak: Penelitian ini bertujuan untuk mengembangkan sistem E-Learning Bahasa Inggris menggunakan Aplikasi PWA (Progressive Web Application). Aplikasi ini sendiri tidak perlu diunduh terlebih dahulu melalui Play Store melainkan menggunakan situs Pusat Bahasa ITI. Uji coba diadakan dalam bentuk pembelajaran E-Learning yang dikhususkan kepada English Grammar menggunakan Digital Book sebagai buku pegangan . Partisipan dari kelas English Grammar ini adalah mahasiswa Institut Teknologi Indonesia tingkat dua. Aplikasi PWA menjadi media pembelajaran E-Learning , dimana seluruh partisipan dapat menggunakan ponsel pintarnya untuk belajar, test, dan mengisi kuesioner pembelajaran. Hasil dari penelitian ini adalah bahwa aplikasi PWA ini terbukti efektif menjadi salah satu media pembelajaran jarak jauh dan lebih mudah diakses daripada aplikasi lain yang diunduh melalui Play Store. Namun untuk evaluasi pembelajaran dari kelas English Grammar masih harus dikembangkan lebih jauh agar dapat disesuaikan dengan kebutuhan dosen dan mahasiswa. Kata Kunci : PWA, ecOURSE, English Grammar, Evaluasi Abstract: The study aims to develop E-learning system of English subject using PWA application (Progressive Web Application). This application does not need to be firstly downloaded via Play Store. Instead it can be stamped from ITI’s English Language Center site. The experiment was conducted in the form of E-learning class focusing on the English Grammar using digital book as the learning textbook. The participants of the E-Learning were sophomore students of Institut Teknologi Indonesia. The PWA app became the Learning media of the class where all participants could used their smart phones to study, to take the test, and to fill out the questionnaire of the learning. The result of the study is that the PWA app was proved to be effective as one of the online learning media and it could be more easily accessed than other play store apps. However, for learning evaluation from the English Grammar class, it needed to be more developed and prepared so that it would be suitable for every lectures’ and students’ needs. Keywords: Kata Kunci : PWA, ecOURSE, English Grammar, Evaluation
Detection of Blood Cancer Cells Using Microscopic Images

Abstract: Blood Cancer cells forming a tissue is called lymphoma. Thus, disease decreases the cells to fight against the infection or cancer blood cells. Blood cancer is also categorized in too many types. The two main categories of blood cancer are Acute Lymphocytic Lymphoma and Acute Myeloid Lymphoma. In this project proposes a approach that robotic detects and segments the nucleolus from white blood cells in the microscopic Blood images. Here in this project, we have used the two Machine learning algorithms that are k-means algorithm, Support vector machine algorithm. K-mean algorithm is use for segmentation and clustering. Support vector machine algorithm is used for classification. Keywords: k-means, Support vector machine, Lymphoma, Acute Lymphocytic Lymphoma, Machine Learning
Designing a system for identifying persons using 3d images

Nowadays, information security has become a very important and difficult matter. Security cameras are widespread in banks, ATMs, airports, universities, offices, and anywhere with a security system. The face recognition process is one of the most demanding image analysis and computer vision tasks. Faces are biometric systems that utilized a digital image of a person to identify or authenticate that person. This system is employed in the field of security. The face recognition system is required to detect and recognize the face in the image automatically. It works by extracting and then recognizing its attributes, irrespective of expression or illumination, transitions (translation, rotation and scaling of the image) and ageing, which is a difficult task. The proposed system records the facial features of the person standing in front of the camera, such as the size, position of the nose, eyes, jawbones, and cheekbones structure. This program also allows the user to evaluate and analyze the image. This system does not require long training for technicians because it is easy to use and gives quick and accurate results compared to biometric techniques the other. It is worth noting that Matlab roll was used in the design of this program.
Based on Improved Level Set Algorithm to Enhanced Fuzzy C-Means Clustering for Controlled Knife Image Segmentation

With the deepening of China's urbanization construction, public safety is also facing great challenges.Therefore, China has strengthened security measures for important public places, and established monitoring network and security inspection system.However, the current machine security inspection algorithm is not accurate enough for the identification of sensitive objects such as controlled knives, and it also depends on manual detection and confirmation, which leads to low work efficiency and often leads to low efficiency It is also not conducive to the prevention and control of the epidemic.This paper proposes an image segmentation method based on Improved level set to enhance fuzzy clustering.In this paper, the fuzzy clustering method and the improvement of the level set method, first of all, using morphological method image preprocessing algorithms, so as to realize the foreground and background of the area range, is advantageous for the next level set segmentation of the target outline, so as to determine the fuzzy clustering of heart, makes strengthening fuzzy clustering on its own the advantage of rapid more accurate.Through experiments, the effectiveness of the algorithm is verified, and the segmentation accuracy is higher than the traditional segmentation algorithm.
Lossless Watermarking Algorithm Based on Multiple-Base Notational System and Pixel Difference

In order to identify the authenticity of the industrial packaging, the solution to the current watermark technology is mainly to embed the same watermark capacity into each pixel value in the image, so that the watermark capacity is small, and the anti-distortion performance is not good. Data watermarking algorithm based on system and pixel difference. First divide the carrier image into non-overlapping sub-blocks, and calculate the pixel difference of each sub-block; introduce a hybrid system to obtain different bases. According to the pixel difference, the base selection rule is defined; considering the human visual characteristics, the pixel interval adaptive adjustment mechanism is designed to improve the coding technology and complete the watermark information embedding; finally, the watermark information extraction mechanism is established to restore the watermark. The experimental results show that compared with the current data watermarking algorithm, the proposed algorithm has ideal imperceptibility, as well as larger watermark capacity and lower distortion.
Way of application of convolutional neural networks for personality recognition and user emotions by keyboard handwriting

An important direction of increasing the security and expanding the functionality of modern information systems is the introduction of face recognition tools and user emotions by their keyboard handwriting. The expediency of improving the indicated recognition means by introducing modern neural network solutions into them is shown. A way has been developed for using a convolutional neural network for recognizing a user's face and emotions from keyboard handwriting, the features of which are the procedure for adapting the structural parameters of a convolutional neural network of the VGG type to the expected conditions of use and a procedure for determining the input field, which provides the representation of the parameters of colored channels. After adapting the structural parameters, the VGG network was implemented using the MATLAB R2018b application package, which made it possible to carry out computer experiments aimed at verifying the proposed method. As a result of the conducted computer experiments, it was determined that the use of the proposed method of applying a convolutional neural network makes it possible to achieve a user face recognition accuracy of about 82% with 50 learning epochs. The need for further research in the direction of the formation of a training sample is shown, which will ensure high-quality training of the neural network model.
PERANCANGAN SISTEM PAKAR TINGKAT PERSENTASE PENYAKIT ANOREKSIA NERVOSA MENGGUNAKAN METODE DEMPSTER SHAFER

Anorexia Nervosa (AN) is an eating disorder by making yourself feel hungry (self-starvation). Usually occurs in young women who are stepping on the high school bench (General High School). Their goal is to make themselves hungry so that they have a slim physical appearance and attract the attention of the opposite sex. There are 2 types of Anorexia Nervosa, Restrictive Anorexia Nervosa, people with this type of anorexia greatly limit the amount of food they consume, in fact they often do not eat at all until their bodies become very thin. Anorexia Nervosa Binge-purge, this type of anorexia is almost the same as bulimia. People who suffer from this disorder will eat in large quantities. But after eating, they will tend to feel guilty and then force to vomit back the food they ate. Mahoni Mental Hospital is one of the agencies engaged in health services, as a health agency, it is a must for the agency to improve its services both in terms of speed and timeliness. Mahoni Mental Hospital does not yet have a computerized system or method used to diagnose Anorexia Nervosa. Therefore, there is often a delay in the treatment of anorexia nervosa disorders. This study aims to build an expert system that functions as a tool for the Mahogany Mental Hospital or medical (experts) and medical students in diagnosing Anorexia Nervosa disorders. This study uses the Dempster Shafer method, in diagnosing Anorexia Nervosa disorder, based on the symptoms felt by the patient, then the results of the consultation are how many percent of the patient is affected by Restrictive Anorexia Nervosa or what percentage of the patient is Anorexia Nervosa Bingepurge
Efforts to Improve Simple Dialogue Writing Skills Through the Guided Writing Activity Strategy (SAMT) in Class IV Students of SDN Malaka Jaya 06 Pagi

The use of the Guided Writing Activity Strategy (SAMT) method in making a simple dialogue script can be applied by the teacher to optimize the ability of students. SAMT method makes the role of the teacher who so far has only been a giver of assignments will switch in the form of collaboration with students. SAMT method in fifth-grade students of SDN Malaka Jaya 06 Pagi East Jakarta is intended to make efforts to improve the quality of learning, especially on simple dialog scriptwriting skills that are expected to affect improving student learning outcomes in writing simple dialog scripts.
ENHANCED PERFORMANCE ON SOFTWARE DEVELOPMENT PROJECT THROUGH PROJECT PLANNING, TECHNICAL FACTORS, TEAM CAPABILITY, AND PROJECT SCOPE (CASE STUDY: IT AND PRODUCT DEVELOPMENT DIVISION AT PT. X)

The research was conducted in a company who engaged in the Fintech field which is inseparable from project management activities. On its implementation there is a project completion time that exceed the specified schedule due to the limited number of human resources and also those bugs in the application generated in the project being run. This research has purposes to revealed the amount of impact from project planning to technical factors, team capabilities and project scopes also to find out the amount of impact which caused by technical factors, team capabilities and project scopes towards the performance of software development project. These research data were obtained through questionnaires that involving 63 respondents. The data analysis technique used PLS-SEM. The results from this research found that project planning had a positive and significant affect on technical factors by 60.1%, team capability by 45.5% while project scope by 57.3%. Technical factors, team capability and project scope had a positive and significant affect towards the performance of software development projects with each amount of influence, namely 39.3%, 25.6% and 31%, respectively.
Research on Recommendation of Online Materials Course Resources Based on Text Similarity

In order to solve the problem that it is difficult for college students to find learning resources related to thecourses they are learning quickly and accurately in blended learning. This paper proposes an online materials course resources recommendation method based on text similarity. Firstly, collecting the data of course resources on the online learning platform through web crawler technology. Secondly, preprocessing the data which contend deleting noise data, the Chinese word segmentation and calculating the course similarity based on cosine similarity then getting the course recommendation results according to the similarity ranking. Thirdly, evaluating the recommendation results and optimizing the similarity calculation method according to the evaluation results. Finally, the learners are recommended curriculum resources according to the similarity ranking results. According to the courses learned on the Superstar platform, the experiment recommends similar course resources on the XueYin Online platform. The results show that the online materials course resources recommendation method based on text similarity can recommend relevant online materials course resources for learners quickly and accurately, which has certain reference significance and application value for online course resources recommendation.
A Study on Cloud Computing and Service Market: International Context with Reference to India

Cloud computing is one of the emerging areas and components within the Information Technology space. Cloud Computing is a kind of virtualization techniques which is achieved by the internet and similar services. Cloud Computing is growing rapidly within Information Technology. This is responsible for the creation of a healthy virtual information technology infrastructure. Cloud Computing is very much important for distributing IT Infrastructure for the concerned organizations and its branches or sister organizations. Cloud Computing is rapidly moving towards the government and public sectors as well due to its benefits and opportunities. Cloud Computing is also called as Virtualization Technology. Within the support of Cloud Computing, there are many service models and types that are emerging viz. Software, Applications, Platforms and Operating Systems, Hardware and infrastructure, Contents and Information, etc. The emerging other technologies are also increasing and many of them relate to the Cloud Computing viz. Big Data, Analytics, Internet of Things (IoT), etc. The market of the cloud also depends on various other things and it is important to note that, apart from the existing established IT organizations and companies, there are many new specially dedicated cloud service providers also emerging rapidly. Cloud Computing Services and its emergence including the current market scenario is provided in this paper including some of the companies and their basic services as well.
A Lecture-Based Instructional System to Promote Student Agency

This research study was conducted in 2018 and resulted in an instructional system designed to support university instructors that seek to promote student agency in lecture-based learning environments.The objective of the study was to design and test an instructional system that supplements the traditional lecture and provides opportunities for the development of agentic engagement.In support of the instructional system design, the study examined ways in which university undergraduates used a digital backchannel, determined if using a digital backchannel affected agentic engagement, and identified the features of a digital backchannel that influenced student agency.The study employed a mixed methodology design using a questionnaire to collect quantitative student profile data and phenomenography to conduct a qualitative inquiry into participants' experience.The population for this study consisted of undergraduates at a private, International university located outside of Bangkok, Thailand.A total of 171 participants took part in this study, with ten students selected for a focus group through a non-probability, purposive sampling.Overall, the study found that a lecturing system that employs the strategic use of a digital backchannel can promote student agentic engagement.Student agency and instructor effectiveness were both positively influenced through the employment of an instructional system.
PENGGUNAAN TEKNIK PICTURE-CUED UNTUK MENINGKATKAN KETERAMPILAN BERBICARA BAHASA INGGRIS

The research aimed at improving students’ speaking skill using picture-cued technique. Classroom action research with 3 cycles was employed. The research subject consisted of 20 students of tenth grade. The technique of data collection consisted of observation, test and interview. The finding signified that the students’ speaking skill is improved. In cycle I, only 70% of students passed the passing grade. In cycle 2, 90% passed the grade and in cycle 3, 100% passed the grade. The significant of this research did not only explore about picture-cued technique but also identified students’ response of the application of picture-cued technique in English speaking learning. The result of the research showed students’ positive responses to the use of the technique. This further means that the implementation of picture-cued is successful in enhancing students’ speaking skill.