Reviewerly/exHarmony huggingface dataset:
DESIGN AND DEVELOPMENT OF INTERACTIVE LEARNING MEDIA BASED ON CONTEXTUAL TEACHING LEARNING (CTL) IN THE SUBJECT OF EVALUATION AND SUPERVISION OF GUIDANCE AND COUNSELING

The background of this study is based on the needs analysis of interactive media on Guidance and Counseling department in Universitas Negeri Medan which is equal to 98.1% of lecturers and students stating that they have not used interactive learning media in the classroom, 100% of lecturers and students stated that they need interactive media in the learning process and as many as 28% of lecturers and students recognize interactive media with macromedia flash and 72% of lecturers and students do not know the macromedia flash. The purpose of this study is to find out the needs and develop the initial product, carry out and know the expert and field testing, and carry out product effectiveness tests. The research method used is Research and Development method proposed by Borg and Gall, adapting the research procedure into three stages, namely: 1st stage introduction, 2nd stage product trial, and 3rd stage test thie effectiveness of the product. The average value of the experimental class pre-test is 52.20 with the highest value and the lowest value 37.5 and the standard deviation 8.09 while for the average post-test value is 85.15 with the highest value 100 and the lowest value 75, 00 and standard deviation of 6.30. The average value of the control class pre test is 51.62 with the highest value of 87.50 and the lowest value of 65.00 and the standard deviation of 10.28 whereas for the average post-test value is 76.91 with the highest value of 98 and the value lowest 75 and standard deviation 6.30.  Keywords: Learning Media, Macromedia Flash, Evaluation and Supervision of Guidance and Counseling, Contextual Teaching Learning (CTL).
The analysis of type-2 fuzzy controller for ITER PF ac/dc converter control system

Abstract This novel type 2 fuzzy controller (T2FC) have more attractive research to developed the membership functions (MF) and rule uncertainties in the complex tokamak International Thermonuclear Experimental Reactor (ITER) Poloidal Field (PF) system. The uncertainties always happened to design the MF in real time applications. This paper proposes the T2FC design strategy in single and parallel operation. During the operations it is inflexible to handle the extremely uncertain and cannot determine the membership grades by conventional type 1 fuzzy controller (T1FC). To address the uncertainties issues the T2FC is the robust technique to accommodate the rule and membership uncertainties.
The Application of Process Approach in Enhancing Paragraph Writing Skills of SMA Negeri 1 Lembang

Enhancing paragraph writing skill of students addresses the issues of writing. To see the paragraph writing skill enhancement of students and finding out the significant difference in paragraph writing skill enhancement between students acquired Individual Process Approach and students acquired Collaborative Process Approach are the aims of this research. To get the aims of this research used quantitative research. Also, researcher conducted paragraph writing pre-test and post-test, as an instrument, to 64 second year students of SMA Negeri 1 Lembang. Then researcher analyzed students’ pre-test and post-test achievement by using Statistical Package for the Social Science (SPSS). The results are paragraph writing skills of students enhanced and there is significant difference in paragraph writing skill enhancement between students acquired Individual Process Approach and students acquired Collaborative Process Approach. It implies that Process Approach enhance paragraph writing skill of students.&#x0D;
Aplikasi Manajemen Barang Reject Berbasis Android (Studi Kasus PT. Schneider Electric Manufacturing Batam)

PT. Schneider Electric is leading the Digital Transformation of Energy Management and Automation in Homes, Buildings, Data Centers, Infrastructure and Industries. PT. Schneider is one of the companies that applies the technology applied to the work process, one of the Debug Manager systems, which is a system used to reject items in the line area, but it still has weakness in inputting product data when it read by users with a small text its make debug manager or LI (Line Inspector) often entered the wrong data, and there is no procedure that allows the debugging process of items that refuse to do research on the existing system. The research conducted at PT. Schneider Electric Manufacturing Batam was conducted to repair the Debug Manager system in PT. Schneider, this research was conducted with the waterfall method starting with conducting interviews with the operator or LI (Line Inspector) Debug Manager then proceeding with the application design (Design) which is then implemented, verified until maintenance is carried out. Reject Management Application based on android, which is an application that scans QR code on labels, and text that uses products on a smartphone or tablet and can also give debugging technicians notification. The debugging process can be done well.
A Hybrid Method for Reduction of Energy Consumption in Cloud Networks

Cloud computing is consisted of physical data centers each of which including hundreds or thousands of computers.A key technology which has enabled cloud computing feasible, is virtualization.Virtualization allows us to separate virtual machines in a way that each of these so-called virtualized machines can be configured on a number of hosts according to the type of application of the user.It is also possible to dynamically alter the allocated resources of a virtual machine.Different methods of energy saving in data centers can be divided to three general categories: 1) energy saving methods based on balancing the loads of resources; 2) scheduling by the help of hardware facilities; 3) reducing the consumption of energy through being aware of thermal characteristics of the environment.One of the most important challenges in terms of cloud computing is to maintain an optimized load balance in cloud environment on servers because this issue is critical for energy consumption.Since load balance algorithms depend on the current behavior of the system, they act dynamically.Important factors which should be taken into account while developing such types of algorithms include load estimation, load ratio, adaptability of different systems, performance of the system, interaction between nods, scheduling, nature of the transferred service, selecting nodes and etc.By taking a detailed look on previous methods and challenges of energy saving in cloud networks, we provide a hybrid method which enables us to save energy through finding a suitable configuration for placement of virtual machines and through being aware of special features of virtual environments for scheduling and balancing their dynamic loads by the help of live migration method.
A Novel Approach on Convolutional Neural Network for Face-Based Age and Gender Recognition

Age and gender order has turned out to be pertinent to a broadening measure of uses, especially coming about to the rising of social stages and online networking.In any case, execution of existing systems on genuine images is still on a very basic level missing, particularly when considered the enormous bounced in execution beginning late detailed for the related assignment of face affirmation.In this paper we demonstrate that by learning depictions utilizing significant Convolutional Neural Systems (CNN), an immense development in execution can be acquired on these errands.To this end, we propose a direct Convolutional Neural System outlining can be used despite when the measure of learning data is confined.We review our methodology on the current audience benchmark for age and gender classification and show it to fundamentally outmaneuver current state-of-the-art techniques.
Penggunaan Media Gambar dalam Pembelajaran Kosakata Bahasa Mandarin di SD Perguruan Kristen Methodist Indonesia Pangkalan Berandan

The purpose of this paper was to understand the application of graphic teaching methods to Chinese vocabulary teaching, and also to understand the reasons why Chinese teachers in Weili Elementary School used the graphic teaching method to teach Chinese vocabulary.The graphics teaching method was to express the essence of things by means of diagrams, to express the abstract logical reasoning process with illustrations, and the internal relationship between complex knowledge, so that the brief texts could play a finishing touch, and the purpose was to enable students to explain.They were easy to accept and understand the knowledge they teach and cause students to learn.This study used literature research methods, observation methods, interviews to analyze, and finally draws a graphic teaching method.The research results showed that the graphics teaching method had an obvious influence on students' learning Chinese vocabulary.This teaching method stimulated students' interest in learning Chinese and made classroom teaching more efficient.These were the reasons why Chinese teachers in Weili Elementary School used the graphic teaching method to teach Chinese vocabulary.
A Path for Assessing Better Agile Methodology

Agile Methodology is a practice that promotes continuous iteration of development and testing throughout the development lifecycle of that specified software.Agile development has emerged as a promising prospect for software development lifecycle models with popularity increasing in recent times with more and more companies adopting this methodology.This is due to the fact that Agile provides practices of several varieties which can be adopted for their relevance to the current environment of the respective organization.The objective of this paper is to provide an insight into the various Agile methodologies such as Extreme Programming, Scrum, Feature driven Development, Dynamic Systems Development Method and Crystal.Furthermore these methods will be compared on the basis of the following factors; nature of the project, development team skills, customer involvement, iteration duration, as well as project constraints.
An Enhanced MNB Based Model for Explicit and Hidden Sentiment Classification in Imbalanced Datasets

Sentiment polarity classification (either explicit or hidden) is the process by which information can be extracted to be analysed as positive or negative opinion.Much work on supervised machine learning based sentiment classification has been done considering balanced datasets.However, due to the imbalanced nature of data distribution, sentiment classification becomes a complex task that requires investigating more efficient approach, especially for hidden sentiment.Multinomial Naïve Bayes (MNB) algorithm is one of the most widely used methods in this field, due to its computational efficiency and relatively good predictive performance.However, this classifier performs poorly on imbalanced datasets.In this paper, we propose transformation in MNB prior and conditional probabilities designed to handle explicit and hidden sentiment classification for imbalanced data.To support MNB, we introduce an original frequency model based on using synonym and antonym semantic relations.Our approach is empirically evaluated according to: (1) its impact on MNB training data quality for minority classes, (2) its comparison to similar works involving MNB for imbalanced datasets and (3) its comparison to commonly used classifiers for sentiment classification.The experimental results show that our model improves training data quality and therefore helps MNB boost its performance to achieve the best results for explicit and hidden imbalanced datasets.
Assessment of Parameters of Regional Education Systems as Instrument of Managerial Decisions Development

The authors propose an approach for developing an interrelated management consulting aimed at improving regional education systems. The proposed approach is based on the analysis of the calculated statistical indicators of preschool education.
Entropy Reduction using K-Mean Clustering Algorithm

This Clustering is a technique which is used in different organization which is used to organize a large number of unordered text documents into different clusters and obtained high similarity value as compare to the documents that are presents in other clusters. The utilization of document clustering is used in different area such as web mining, large organizations, in health organization and to extract information. In this research work, we are applying K-mean clustering algorithm to organize the un-structured document into structured document. To determine the similarity among them Cosine similarity algorithm is used. At last, the metrics such as entropy and accuracy is computed with the help of the MATLAB simulator.
SOCIAL TECHNOLOGY AS A METHOD FOR MANAGEMENT OF THE SOCIAL PROCESSES

The article discusses the social technology as a tool for management of the social processes and the methods for assessment of its effectiveness.It makes a review of general assessment analysis on each stage of the program realization-design, implementation and the evaluation of program benefits.
Weber’s Law based Camera Response Model for Low Light Image Contrast Enhancement

In the field of digital image processing, Image Contrast Enhancement (ICE) is an emerging research area, which helps to attain the sub-standard quality images.The existing ICE techniques have a few limitations like brightness preservation and contrast limitation.Also, the existing ICE techniques affects from over-enhancement that leads to unrealistic results and halo-like artifacts in the high contrast region.To address these issues, a new contrast enhancement method (Second Order Derivative with Weber's Law (SODWL)) is developed in this research study.The proposed SODWL method includes two major phases (i) estimate the relationship between different image exposures and identify the appropriate Camera Response Model (CRM), (ii) illumination estimation method is applied to calculate the exposure ratio map.The SODWL method improved the performance of ICE effectively, because the developed approach considers even the small edge pixel values for contrast enhancement.After that, Weber's law is applied for adjusting the lighting conditions of the input image.The experimental analysis was conducted on the reputed datasets: VV, LIME-data, DICM, and MEF.Finally, the performance of proposed method is evaluated by applying the evaluation metrics such as, Lightness Order Error (LOE), and Visual Information Fidelity (VIF).The experimental result showed that the proposed system improved the VIF value upto 0.4-0.1 and also reduced the LOE value up to 2447-2 as related to the existing systems.
Facial Expression Recognition For Mood Analysis

Facial expression is the main approach for human to express their emotional state.For example, a smile may indicate a positive and optimistic mood while fear, sadness and disgust indicate a negative mental state.Facial expression recognition is the process of assigning an emotional label to a still image or a video.The purpose of the project is to analyze the mood of the user using facial expression recognition.The existing system does not tell about the mood of the user.The idea is to generate the graph of the user's expressions to get the analysis of the mood.The proposed system is a service which can be integrated with multiple applications to analyze the mood of various users associated with di erent applications.
Audio to Sign Language Translator

Sign language is a visual language that is used by deaf and dumb people for communication. It is achieved by simultaneously combining hand shapes, orientation and movement of the hands, arms or body, and facial expressions. So this topic is based on converting the text or speech using text to speech api.for that Natural Language processing is used for breakdown of text into smaller understandable parts, then assign sign symbol to text using sign dictionary.
Comparison between High utility mining of rare item sets Algorithms over Transactional Database

Privacy Preservation of highly profitable itemsets is very important term in utility based data mining.In the process of mining profitable items from sales database whether they are frequent or non-frequent utility pattern.It is very important for making market strategies.In this paper, comparison between two algorithms is done based on their properties for analyzing high utility rare itemsets.High utility rare itemset algorithm executes on transactional database in which, two thresholds will be used for extracting High utility rare items.First thresholdused for discovering HUI and, another for extracting high utility rare itemsets.Second algorithm, privacy preservation of rare itesets using genetic algorithm used the process of privacy preservation using Genetic algorithm.HURI using GA approach is more beneficial when it comes to better security purpose.As a future work more optimization algorithm can be implemented for obtaining better result.
Mobile-Based Word Matching Detection using Intelligent Predictive Algorithm

Word matching is a string searching technique for information retrieval in Natural Language Processing (NLP). There are several algorithms have been used for string search and matching such as Knuth Morris Pratt, Boyer Moore, Horspool, Intelligent Predictive and many other. However, there some issues need to be considered in measuring the performance of the algorithms such as the efficiency for searching small alphabets, time taken in processing the pattern of the text and extra space to support a huge table or state machines. Intelligent Predictive (IP) algorithm capable to solve several word matching issues discovered in other string searching algorithms especially with abilities to skip the pre-processing of the pattern, uses simple rules during matching process and does not involved complex computations. Due to those reasons,&lt;strong&gt; &lt;/strong&gt;IP algorithm is used in this study due to the ability of this algorithm to produce a good result in string searching process. This article aims to apply IP algorithm together with Optical Character Recognition (OCR) tool for mobile-based word matching detection. There are four phases in this study consists of data preparation, mobile based system design, algorithm implementation and result analysis. The efficiency of the proposed algorithm was evaluated based on the execution time of searching process among the selected algorithms. The result shows that the IP algorithm for string searching process is more efficient in execution time compared to well-known algorithm i.e. Boyer Moore algorithm. In future work, the performance of string searching process can be enhanced by using other suitable optimization searching techniques such as Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization and many others.
Common Mistakes Found in Essay Writing of Chemical Engineering Department First Grade Students in Politeknik Negeri Lhokseumawe

Many students often face difficulties when they are writing an essay in English while they are required to master written English as one of their basic competencies as the vocational students. The study observes common mistakes occurring in English essays written by first grade students of Oil and Gas Processing Study Program of Chemical Engineering Department in Politeknik Negeri Lhokseumawe, Aceh, Indonesia. The mistakes were categorized into seven types, i.e. word collocation and phrase, preposition, article/determiner, verb form, word order, spelling and punctuation. This research aims to find out the relation between the occurrences of the mistakes to the background of the students as the non-native English speaker. The methodology used in this study was combined between descriptive analysis and quantitative method. Data were analyzed by calculating the mistakes number done the students in their essays. The percentage of each mistake parameter is presented in pie chart form. Twenty-two students were involved in this study. Based on the result found in the study, the writer has gained several points that can be used to improve the teaching material for writing for academic purpose course. The study suggests that the course should focus on word collocation and some basic grammars instead of giving them English text.
Operations on Dombi Bipolar Fuzzy Graphs Using T-Operator

In this manuscript, the dombi bipolar fuzzy graphs are introduced.The several operations like union, ring sum, direct product and Cartesian product of Dombi bipolar fuzzy graphs are established and the proposed concepts are described with the suitable examples.
THE EFFECT OF CONTEXTUAL COMIC STRIP ON EIGHTH GRADE STUDENTS’ READING COMPREHENSIONAT SMP NEGERI 6 SINGARAJA

The main objective of this experimental study was to investigate whether there is a significant effect of contextual comic strips strategy on students reading comprehension. The study was conducted at the eighth-grade students of SMP Negeri 6 Singaraja. This Posttest-Only Control group design was applied. The population in this study was all of the students at SMP Negeri 6 Singaraja in the academic year 2018/2019. The sample in this study was 60 students consisting of 30 students from the VIII B1 class as the experimental group and 30 students from VIII B2 as the control group. The sample was selected by using cluster random sampling technique. The data were collected through a post-test in the form of multiple-choice test. The data were analyzed by using t-test in SPSS 16.0 program. The result of this study revealed that the mean score for the experimental group (73.17) is higher than the control group (69.00). The result of the t-test also showed that the value of Sig. (2-tailed) was 0.025. Since the value of Sig. (2-tailed) was below 0.05, the null hypothesis was rejected and the alternative hypothesis was accepted. Based on the result, it can be concluded that there was a significant effect of Contextual Comic Strips on eighth-grade students’ reading comprehension at SMP Negeri 6 Singaraja in the academic year 2018/2019.
Pembangunan Sistem Informasi Pemberian Kredit Pada Koperasi Mekarsari Dengan Metode Rapid Application Development

The cooperative is a business entity that is very well known by pro people, because the cooperative is group of individuals who run its business based on family principle, Pancasila and the Undang-Undang 1945. The cooperatives development in Indonesia indicates a positive trend and known by the public. One of them is Cooperative Mekarsari. This filled Mekarsari cooperative is getting better every day. Cooperative Mekarsari provided many services to members, one of them is about the granting of credit or loans. Granting of credit given is usually devoted to the retirement, although not close the possibility of members who are not retired can ask loan. However, data processing in granting credit Cooperative Mekarsari is still done manually, giving rise to some problems, such as the granting of credit or loans still recorded using handwritten into the book loans, still merge the recording of data between loan and installment, there is no limitation work space that allows the data become no secret. By looking at it, then this requires the existence of a Cooperative system to facilitate development in the processing of the data and provide services to its members. And to assist in the process of developing such a system, it is necessary to use an appropriate method, i.e. the Rapid Application Development method. The expected results of this form system development, program application is expected to resolve the existing problems in Cooperative Mekarsari. Keywords: program application, cooperation, RAD , loan