Reviewerly/exHarmony huggingface dataset:
Ontology Driven Diet Advisory System For Health Monitoring

For a healthy lifestyle, foods are not just expected to be taken but taken as required by the body system (that is balanced nutrition and diets).Cardiovascular diseases (CVD) has been identified as number one cause of death worldwide and twice as many deaths due to CVD can be attributed to risk factors such as hypertension and obesity.It is of a vital importance to monitor the dietary need of hypertensive, obese and diabetic patients, major cause of morbidity and mortality, in relation to various foods in order to recommend healthy diets.In this paper, a diet advisory system was developed using ontological approach, a form of knowledge representation.The system serves as a platform to assist users to proffer appropriate dietary solution through provision of advice as to whether a particular food is good enough after the health condition of such user has been considered.
Aplikasi Pengenalan Nama-nama Hewan

The emergence of technology has shown a significant impact on changing human patterns. Whether it's a negative or positive impact on the use of smartphones. Judging from the impact of using a smartphone, it turns out to have a positive effect if used as a learning medium. A combination of technology and new learning media that are needed by kindergarten schools that can help teachers deliver material on vocabulary to know the names of animals. In designing learning media applications to know the names of animals created using the method of working with waterfall and assisted with the java android programming language with the target output that will be achieved from this design is a prototype in the form of an application to recognize the names of animals in the form of learning media in TK NEGERI JAGAKARSA 01 Android-based. With this application, it is expected to be able to assist teachers in utilizing learning media to improve students' ability to absorb material given by the teacher.
The Role of Internal Control in Raising Employee Productivity in Jordanian Bank

Internal control helps organizations achieve their objectives and maintain and improve their performance, and the performance of their employees. The Committee of Sponsoring Organizations of the Tread Way Commission issued an Internal Control — Integrated Framework, to help organizations in designing, implementing, and conducting internal control and assessing their internal control systems’ effectiveness, this Integrated Framework, included the five factors of control system, which are Control Environment, Risk Assessment, Control Activities, Information and Communication, and Monitoring Activities. The research examines the relationship between internal control system of an organization and employee engagement, and the effect that such has on the performance of the employee in the organization, and job satisfaction. This research primarily aims at finding out the impact of internal control system on employee performance in Jordanian companies, especially those in the Jordanian banking sector. Internal control systems will influence employees’ performance in two ways, through having an effective internal control system, or through not having an effective internal control system. The research therefore tends to evaluate the extent of adherence to internal control System in Jordanian banks, its impact on the performance of employees, and finally the recommendations of the researcher.
Non-Functional Requirement Template for Usability Aspect based on NIMSAD Evaluation Engineering

In requirement engineering, non-functional requirement is a requirement that specifies characteristics of system behavior and sys-tem quality attributes.Furthermore, a non-functional requirement template facilitates system stakeholders in better system documentation, system elicitation and system traceability.However, some non-functional requirements may come from many type of requirements document and no stringent standard has been applied that lead to various pattern of non-functional requirements tem-plate.Specifically, in usability requirement, the quality attribute is being ignored and less expressive in majority requirements document.Therefore, this study was motivated to propose the most feasible non-functional requirement template for usability aspect.NIMSAD evaluation is used to obtain the most feasible non-functional requirement template by comparing existing non-functional requirement templates based on the following criteria which are i) general concepts, ii) modeling concepts and iii) analysis concepts.From the NIMSAD evaluation results, it is found that Boilerplates template is the most feasible non-functional requirement tem-plate for usability aspect.
Discovery Driven Innovation: The Case of Oman Entrepreneurship

Businesses around the world fail or succeed because decisions good or bad were made out of assumptions of the unknown.In the context of discovery-driven innovation, business decision can be made with the aid of available information based from passed attempts, the current market situation, and consumer dynamics.The discussion involves examining the importance of discovery-driven innovation in business growth.Oman ha a young SME sector in which several entrepreneurs succeed and failed due to a common cause, which is the lack of drive to discover what works for their business and the lack of innovation applied to their operational strategies.Discovery-driven innovation in the case of Oman encompasses the limitations faced by entrepreneurs in reinventing their business ideas based from data about the past and existing enterprises.In discovering what works, what did not work, and why it didn't, entrepreneurs would be able to make evidence-based decision that can assist them in innovating the way they do business.
Studi Steganografi Pada Citra Digital Menggunakan Shuffled Singular Value Decomposition (SSVD)

Stegangraphy is a technique for embed secret message in original image. It has an important role in the field of information hiding for secret communication. Many research about steganograph y tecniques have been developed, one of them is singular value decomposition (SVD). SVD method is popular discused in many tecnique such us steganography and watermarking. In addition to SVD there is a method which can give better result than SVD on watermaring technique that is Shuffled SVD. The differences between SSVD and SVD is in shuffle process which applied before applying SVD. The popularity of SSVD in the watermarking technique made the writer intererest to propose an image steganography tecnique using shuffled singular value decomposition (SSVD). The data used are two original RGB imaage and a message RGB image. Quality measured by PSNR and Correlation Coefficient. The experimental result show that the shuffling process on the secret message caused embedded message can’t read easyly so the secret message is more secure.
Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering

Fuzzy clustering algorithm based on multiobjective optimization can achieve accurate and comprehensive clustering results. However, the estimation of objective values for this multiobjective optimization problem (MOP) might be expensive. Offspring's selection driven by simple evaluation is time consuming. Therefore, we integrate regression techniques to determine the superiority of the offspring solutions in the evolution process. However, it suffers from an issue that it is hard to collect reliable samples to train such a robust regression model. In this paper, an evolutionary multiobjective fuzzy clustering method via self-paced learning is proposed for change detection. In the proposed method, the self-paced learning process is implemented to collect reliable training samples for training a robust regression model, which can help to select promising offspring solutions from the candidate solutions for MOP. Experiments on three remote sensing image datasets demonstrate that the proposed method can significantly outperform those state-of-art methods for change detection in terms of accuracy and robustness.
Penerapan Multimedia dalam Pembelajaran bagi Guru di TK Aisyiyah Ranting Parangtambung

The community partnership program implemented in Aisyiyah Kindergarten aimed to improve thecompetence of kindergarten teachers in the application of multimedia learning. The existence of technologicalchanges, as well as changes in student generation are of concern to all educators so that they can also improve andchange the learning model that has been applied. The activities applied to improve the competence of teachers inAisyiyah Kindergarten were: a) Trainedthe Kindergarten teachers to find out the method of using ICT in learning; b)Trainedthe teacher groups to skillfully plan ICT-based learning for PAUD children. The activity was conducted inManuruki Street, Tamalate District. The implementation methods used were the lecture method and practice. Theteachers were given knowledge about learning models for millennial generations and the Alpha generation.Furthermore, they were offered practical activities, including making slide presentations in Microsoft power pointand creating the media for audio video providers, namely media-based website or youtube.com. The observationresults of the program implementation showed high interest of teachers to learn and actively ask questions in thetraining process. Thus, this community service partnership program could help in improving the quality of thelearning process.
An SVM-Based Framework for Long-Term Learning Systems

In our research, we study the problem of learning a sequence of supervised tasks. This is a long-standing challenge in machine learning. Our work relies on transfer of knowledge between hypotheses learned with Support Vector Machines. Transfer occurs in two directions: forward and backward. We have proposed to selectively transfer forward support vector coefficients from previous hypotheses as upper-bounds on support vector coefficients to be learned on a target task. We also proposed a novel method for refining existing hypotheses by transferring backward knowledge from a target hypothesis learned recently. We have improved this method through a hypothesis refinement approach that refines whilst encouraging retention of knowledge. Our contribution is represented in a long-term learning framework for binary classification tasks received sequentially one at a time.
Model Kontekstual dalam Pembelajaran Listening Children Story dalam Rangka Peningkatan Mutu Proses Pembelajaran (Penelitian Tindakan Kelas di SMPN 10 Depok)

&lt;p&gt;This research is a classroom action research (CAR) aimed at improving student activity and learning outcomes through the application of contextual approaches to Listening Children Story Learning. The subjects of this study were students of class VIII. B SMP 10 Depok in the academic year 2017/2018, amounting to 35 people. The object of this research is the preparation of student learning, student activities in learning, and student learning outcomes in the learning model applied. The results of this study indicate that the application of contextual learning in listening to children's story learning can improve student learning activities and outcome.&lt;strong&gt; &lt;/strong&gt;&lt;/p&gt;
A Novel Method to Associate Sensor Data with Domain Ontology

With the development of the Internet of Things, sensor ontologies have been applied to a variety of fields.Most sensor ontologies are currently built for applications in specific domains, and these ontologies are usually heterogeneous, making it difficult to share or reuse knowledge and concepts.The ontology association methods can be used to construct the semantic mapping between heterogeneous ontologies, so as to effectively determine the similarity between concepts in the ontologies.However, most of the contemporary methods do not make full use of the information that is stored in ontologies and are insufficient for the effective association.This paper proposes a novel association method based on comprehensive similarity.In our proposed method, we first use How-Net to obtain concept representation and calculate the semantic similarity of ontology concepts through sememe Tree and sememe Hierarchy.Then we calculate the structural similarity by the internal structure and the hierarchical relationship between the ontologies and remove the conceptual pairs with low relevance.Finally, we combine the semantic similarity and structural similarity to calculate the similarity matrix between ontology concepts to achieve association.The experimental results on real data show that our method can effectively associate sensor data with domain ontology by combining two different similarity calculation methods.
ЗАСТОСУВАННЯ МОДЕЛІ ПЕРЕВЕРНЕНОГО УРОКУ ПРИ ВИВЧЕННІ ГЕОМЕТРІЇ

At the stage of precipitant development of information and communication technologies and taking into account such problems of school education as the student’s passivity, reduction of hours for studying the Mathematics, reduction of the level of mathematical knowledge and the ability to apply the acquired knowledge in practice, the modern educators and scientists are searching the technologies which purposes are the increasing of the cognitive activity of students and rising the efficiency of their educational activities.In the paper the pedagogical technology, when the typical presentation of a new theoretical material by the teacher and the implementation of homework by the students are changing by the places, is considered. This model combines the learning in classroom and online. The conditions of occurrence, formation and the basic principles of the using of the inverted learning are described.When the teacher is using the model of the flipped lesson then the organization of the class, the roles of the teacher and student, as well as the place of activity are changing. The teacher prepares the educational materials and acts as the organizer of the process of the students’ studying. The latter is an active, conscious and creative participant in the educational process. It is appropriate to use the model of a flipped lesson when studying the themes that can best be learned with information and communication technologies, and if the volume of material is great, but the quantity of hours devoted to the study of the topic – not much. Using of such an approach of teaching needs to be introduced gradually, because it requires the additional time, effort and new skills from the teacher.In the article on the example of the topic “Geometric transformations” the methodical features of using the model of the inverted lesson in the process of studying the Geometry are described. Applying of this approach allows the teacher to allocate more time for the development of the critical thinking and practical skills of the students. It can be realized by processing them the theoretical material at home using the teacher’s video tutorials, presentations etc. Using the flipped lessons at the school will facilitate the increasing of activity, development of partnership, individualization of learning and forming the information culture.
Aplikasi Data Mining Pada Analisis Financial Distress Model Altman z-score Untuk Memprediksi Potensi Kebrangkutan Pada Industri Properti Go-Public Di Indonesia

Early thought systems are needed in companies to overcome financial difficulties that can challenge industrial operations. Altman Z Score is one model that can be used to predict financial distress in a company by analyzing the company's financial statements. This research was conducted to analyze financial distress in property companies going public using the Altman Z Score model. In this model there are 5 financial ratio indicators that are used to predict financial distress. The financial report data used is the financial statements for 2015-2016 and there are 23 companies. The results of these calculations are then clustered with Fuzzy C-Means in two, namely safe zone and gray zone. Cluster validation testing uses the Silhouetee Index with a validation value of 0.9541 which indicates that the cluster process is valid. The results of this study indicate that there is one company that is included in the cluster gray zone, namely Intiland Development Tbk. Analysis of financial ratios found that the most influential is the variable X3 where the results of profits before tax are very small can affect payment of obligations. So it's easy to bring up financial distress conditions. And for those companies that have been in the gray zone condition, they are expected to be careful in financial management to anticipate financial distress.
QDSOMA: Towards the Utilization of Quantum Computing within SOMA

Nowadays, a new type of algorithms inspired by the quantum theory has arisen and brought to light new views of solving standard computational problems like searching, optimizing, scheduling etc. Some of the principles of quantum mechanics can be used even if a quantum computer is not available. The focus of this article is on the utilization of a quantum approach in a selected algorithm called DSOMA. A quantum computing based algorithm is described and all suggested improvements are demonstrated on the flowshop optimization problem. The novelty of the proposed algorithm consists in the use of quantum data. Individuals in other algorithms are usually encoded into a quantum state, whereas the individuals in our extension are just enriched by quantum information, and this data is used to improve behavior of the algorithm. Based on the outcomes of experiments carried out within our research the improved algorithm has achieved better results.
Sistem Pemeringkat Otomatis Berbasis Kata Sifat

This paper exposes a novel method has been developed during these 2 years. The method is named as “adjective based automatic rating system”. This method is developed to utilize the abundant availability of text on the internet for quality and performance rating purpose. The text is processed in such a way and leave only the adjectives. Semantic analysis is done by two knowledge: adjectives of performance definition and Indonesian adjectives database with its synonym-antonym relation. This research proposes several formula steps, therefore the method output is a rating score that can be tunned its scale. The experiment results have been gathered for several objects: tourism, courier service, and organization performance. With detail information in tourism object experiment, this paper cites the other experiment results as well. This paper also provides availability information of the method as Python library. The results show a high correlation score, always more than 0.9. The results also show acceptable error scores, never more than 45%.
Experience-The Source of Knowledge [Standards News]

Discusses the importance of standards development in industry and examines ways in which engineers with many years of experience can improve and enhance the standards development process.
Peningkatan Hasil Belajar Peserta Didik Mata Pelajaran Ekonomi dengan Penggunaan Metode Ceramah Bervariasi

This study aims to: (1) describe the learning activities of students with the use of varied lecture methods with assignments and question and answer; (2) to find out the improvement in student learning outcomes in economic subjects with the use of lecture methods varies with the assignment of assignments and question and answer at Katingan Hilir Kasongan State Senior High School. The method in this study is qualitative and quantitative methods with the type of Classroom Action Research (CAR). Subjects in this study were students of class XI IPS with a total of 23 students. Data collection techniques in this study were using observation and tests. The data analysis technique in this study uses percentages. The results showed that: (1) with the use of lecture methods varied with assignments and question and answer students became more active, this was evidenced by the data obtained, namely in cycle I 2.5 and had entered the criteria enough and in the implementation of the second cycle of 2.9 and has achieved good criteria, (2) With the use of lecture methods vary with the assignment of tasks and question and answer, there is an increase in student learning outcomes. This can be seen from the percentage of student learning outcomes in the first cycle which is equal to 78, 26%, namely as many as 18 students who complete and in the implementation of the second cycle that is achieving class completeness where students who complete as many as 23 students or 100% complete. This means that the use of the lecture method varies with the assignment of assignments and question and answer can improve student learning outcomes on economic subjects.
"Open The Windows" Of Deep Understanding For Contemporary Adult English Learners

Contemporary teaching is a mix of pathways carefully projected by a skilful teacher who is not afraid to plunge into the great variety of technological tools in order to enhance proper learning and stimulate high level acquisition. Modern educators should see beyond the gates of traditional training and reinvent methods and techniques that would offer the students the power to build success and become future effective activators on the labour market. However, connecting to the current high level education students is not easy at all; in fact, it is a challenge which needs to be embraced with great courage, involvement, flexibility and more than anything else, willingness to access the complicated digital world, to research and be in constant development from the professional point of view. It is essential for the teacher to find the right resources to draw their attention and engage them in a wide variety of activities. Technology may be of great help in designing attractive and stimulating lessons, in accelerating the language acquisition process. There are numerous aspects contemporary teachers need to deal with. Essentially, the aim of the present paper is to emphasise them, analyse and offer solutions which may lead to a positive teaching act.
Developing English Writing Materials in Narrative Text Based on Genre-Based Approach

This study aims to develop appropriate English writing materials by using Genre-Based Approach. This study was conducted by Research and Development (R&amp;D) design through six stages; gathering data and information, analyzing data, designing new materials, validating by experts, revising and final product. It was conducted at SMA Negeri 14 Medan for grade XI, consisting of 32 students. Instrument for collecting data was document, questionnaire and interview. Based on the data, it found some writing material, which has inappropriate instruction related to writing a text that should be developed based on syllabus and studentsâ€™ needs. In analyzing studentsâ€™ needs, the questionnaire was distributed to 32 students and also conducting an interview to the teacher and students. Then, the researchers design the new materials that validated by experts. The results of validating show 91,6% from English lecturer and 80% from English teacher. It means the developing materials are categorized as â€œrelevantâ€ for the grade XI students at SMA Negeri 14 Medan.
Frame Removal For Mushaf Al-Quran Using Irregular Binary Region

Segmentation is a process to remove frame or frame exists in each page of some releases of mushaf Al-Quran.The fault in segmentation process affects the holiness of Al-Quran.The difficulty to identify the appearance of frame around text areas as well as noisy black stripes has caused the segmentation process to be improperly carried out.In this paper, an algorithm for detecting the frame on Al-Quran page without affecting its content is proposed.Firstly, preprocessing was carried out by using the binarisation method.Then, it was followed with the process of detecting the frame in each page.In this stage, the proposed algorithm was applied by calculating the percentage of black pixel of binary from vertical (column) to horizontal (row).The results, based on experiments on several Al-Quran pages from different Al-Quran styles, demonstrate the effectiveness of the proposed technique.