Reviewerly/exHarmony huggingface dataset:
Analisis Cluster Single Linkage Berdasarkan Potensi Desa Di Kabupaten Kutai KartanegaraTahun 2019

Data mining is a step in the process of Knowledge Discovery in Database (KDD) which consists of the application of data analysis and the discovery of algorithms that produce certain enumerations of patterns in the data,Cluster Analysis is one of the methods in multivariate statistical analysis that is used to group objects into groups based on their characteristics, so the objects in one group have more homogeneous characteristics compared to objects in other groups. Single Linkage is a clustering process based on the closest distance between objects. If two objects are separated by a short distance, then the two objects will merge into one cluster. This study aims to obtain a cluster of village potential in Kutai Kartanegara Regency in 2019, based on the variable availability of educational facilities, the availability of health facilities, the availability of health workers, the availability of coin / card public telephones, the existence of lodging, the existence of market buildings, the existence of supermarkets, the existence of banks, the population obtaining credit facilities, the existence of other Non KUD cooperatives., Based on the results of the analysis, it can be seen that, Clusters formed in the grouping of potential villages / villages in Kutai Kartanegara Regency using a single linkage method are as many as 2 clusters.
Performance Evaluation of various Machine Learning Algorithms for Personality Detection using Handwritten Document

Handwriting is solitary of the individual characteristics to express all the things in ours mind, to speak with one another. Handwriting expose actual characters including behavior, psychological expenditure, self-respect, temper, fears, honesty, creativity, uprightness, anxiety, defense and plenty of other personality traits. Graphology is the methodology as understanding and evaluates along with grab the writer’s traits through the configuration, and structure of the word within the handwriting. A Characteristic is often recognizing through several handwriting features like size of letters, pen pressure, baseline, top margin, slant of letters
The Usefulness of Mobile Compilers for Learning Computer Programming

This study examines the usefulness of mobile compilers for learning computer programming in higher learning institutions in Tanzania. The study was conducted at the Institute of Accountancy Arusha (IAA) and Arusha Technical College (ATC). The study used a case study research design and adopted a quantitative approach. The study included 170 computing undergraduate students who were conveniently selected from the target population. A questionnaire was used as a method of data collection. The data collected were analysed and results were presented using descriptive statistics. The results of the study show that computing undergraduate students use mobile compilers for learning computer programming. In addition, the study indicates that mobile compilers offer significant benefits that allow students to learn computer programming using mobile technology. However, the results suggest that facilitators of the computer programming courses do not emphasize the use of mobile compilers for learning and self-practice.
Facial Mask Detection and Alert System

COVID-19 (declared pandemic by WHO) caused by unique virus called coronavirus has been spreading unceasingly, and causing a global health crisis. This has forced governments around the world to take blockade measures to prevent the spread of the virus. The majority of sectors of development is effected due to COVID-19. To lessen the spread of this caused disease good number of preventive measures is considered and one of them is covering with mask in crowded sites. This is also declared to be one of the effective methods according to WHO (World Health Organization). Reports indicate that wearing facemasks while at work, in public places, manufacturing setup reduces the risk of transmission. As a solution, an efficient and economical approach of using deep learning allows to create a safe environment in a manufacturing setup and public places. The system proposed within this project, restricts the unease spread of coronavirus by differentiating individuals with and without mask in public places that is being tracked through Live feed cameras. If an individual not covered with a mask is found, the respective staff is instructed with a message, and an alert sound message to “ Wear the mask” is given to the person. The dataset which is collected from different sources comprises the images of individuals covering with masks and not covering with masks. This will be used to train the deep learning architecture.
Facial Recognition - Guest Welcome Monitoring System Using Open-CV

Face is the important part of the human body structure that uniquely identifies a person. Therefore, it is used to trace identity as the possibilities for a face to deviate or being duplicated is low. Thus, using the face characteristics as biometric, the face recognition system can be implemented. So in this paper we are proposing an automatic welcome monitoring system for family functions to enhance and upgrade the guest welcome system into more efficient and effective manner. By means of technology, this idea will resolve the flaws existed in the current system while bringing guest welcoming to a whole new level by automating most of the tasks. The technology working behind will be the face recognition system. From the footage captured by the camera, our system will detect the face and recognize the guest who is coming to function hall. Captured image of the guest coming to function get compared against the data we are having in our database. If match found, the system will display their image and welcome message on screen present in function. In short this upgraded version of guest welcoming system not only saves time, but also provides huge convenience to the person as many processes are automated.
Financial Structure Convergence

This paper shows that, financial structure, defined as the mixture of stock market and credit in the financial system, tends to converge across countries over time. The results are obtained using data from a broad sample of countries over several decades. Financial structure convergence remains similar even after controlling for macroeconomic, institutional and banking sector characteristics. It is not specific to a region, and appears to be similarly strong across the globe. Finally, the pace of financial structure convergence changes based on the initial mix in the financial system, and is lower for emerging market and developing economies compared with advanced economies. These findings have potential implications for the evolution of cross-country income gaps, since financial structure matters for the economic performance.
ROLE OF PARENTS IN THE EDUCATIONAL DEVELOPMENT OF CHILDREN IN PRIMARY SCHOOL

This study investigated the role of parents in the educational development of the primary school child, the extent to which parents play their role and what factors militate against parental involvement. Three research questions were formulated for the study. A sample of 99 parents was drawn from all parents in Awka South. The instrument used for data collection was the questionnaire. Percentages was used to answer the research questions. To validate the instruments, copies of the questionnaire were given to two lecturers in the Department of Early Childhood and Primary Education. At the end of the analysis the result showed that the roles of parents in educational development of their children in primary school are helping and monitoring their children to do their homework, making out time for their children to study, insisting their children to read their books, speaking to them on the importance of studying, monitoring their children television viewing, trusting and accepting them and checking their books after school. The study further revealed that parents are involved in the education of their children in the primary school to a great extent. Most parents help with their children’s homework and insist that their children read their books after school however few parents read to their children and listen to their children while they read. The factors that militate against the involvement of parents in their children’s education are, their job, income and uncertainty on how to contribute in their children study, the cost of transportation, teachers’ reactions to their contribution, size of the family, poverty as well as poor educational background. The study recommended among others, that parents should endeavour to read to their children teach their children reading and also that parents should consider the welfare of their children in making decisions on the kind of business they indulge in to avoid cases of neglect on their children.
Analyzing user behaviour and page views based on visitor traffic in kolej universiti poly-tech MARA website using google analytic / Mohamed Ghazali Khairuzzaman … [et al.]

The approach of the Internet has affected organizations in numerous features. The website has become an integral part of the organizations, from publicizing the organization's profile to giving web services. This study is to evaluate and analyze user behaviour pattern at Kolej Universiti Poly-Tech MARA (KUPTM) website using Google Analytics (GA) as one of the web analytic tools. Website design and its services have become a crucial part for Higher Education Institutions (HEIs) to attract users in visiting their website. Therefore, the use of web analytic tools can be an effective solution in measuring, analyzing and identifying the traffic sources for a website. Google tag was added to all KUPTM’s website and the measurement periods has been done between May 2019 and October 2019. Results have shown that the number of visitors is significantly higher during the weekdays and are affected by external stimulus. An external stimulus, such as promotional activities would increase the number of website visitors. The visit trends show weekly fluctuation in the numbers. It records high numbers of visits during the weekdays and fewer visitors during the weekend. The fluctuation could be due to the number of visits were from internal users, i.e. KUPTM employees and students. The capability of Google Analytics to analyze website traffics in terms of collecting data regarding page views, user interaction flow and visitor behaviour will benefit the organization for making a decision.
APLIKASI BUKU PINTAR PELAJARAN KIMIA KELAS X DI SMA NEGERI 8 SURAKARTA BERBASIS ANDROID MOBILE

Learning Media, Chemistry Smart Book Application Grade X in Negeri 8 Surakarta, Mobile Android
APPLYING WHALE OPTIMIZATION AND GENETIC ALGORITHMS FOR SPAM DETECTION IN TWITTER

Over the past 10 years, Online Social Networks (OSNs) have become more popular. The use of various social media sites, such as Facebook, Twitter, Instagram, Snapchat, Pinterest, and LinkedIn, increases the ability to disseminate information through OSNs. It also facilitates the spread of spam and threatens user information and privacy. Many research studies have been conducted to detect spam in OSNs. In these studies, the researchers depend on classification processes that use a large number of features, requiring longer execution time. This thesis research proposes a new model to detect spam in Twitter using two different linguistic datasets (English and Arabic). The proposed model uses an optimized classification method to detect spam in tweets in the two different linguistic datasets. For classification process, three algorithms are used Naive Bayes, Logistic Regression and Stochastic Gradient Descent. Then the optimization is done in two separate experiments. In the first experiment, the Whale Optimization Algorithm (WOA) is applied. In the second one, the Genetic Algorithm (GA) is applied. The research experiments yielded the following results: for the English dataset, the Naive Bayes algorithm was the best classifier for its high results before optimization, and it had the highest results after optimization, its accuracy improved from 93.1% to 95.3% after optimization. Additionally, the number of required features decreased from 20,000 to 3000. For the Arabic dataset, the Logistic Regression algorithm was the best classifier before and after optimization, its accuracy improved from 89.5% to 91.1%. Similar to English dataset, the number of required features decreased from 6689 to 2400. The results showed that for both datasets, the WOA enhanced the accuracy of the classification process, and it reduced the number of the required features. Thus, we can conclude that optimizing the classification process using the WOA algorithm improves the classification model, leading to faster real-time prediction and a shorter execution time. While using the GA did not improve the result of the classification model for the experiments done in this research.
Medicine Identification Application for Visually Impaired People

Reading is a fundamental part of our lives. Information and text is presenteverywhere in magazines, in newspapers, in receipts, in letters, bank documents etc. But textpresent on medicine and its cover is something which is important and needs to becrosschecked every time we buy it. While buying medicines, people tend to make sure thatthey are buying a correct one by cross checking the medicine name, expiry date,manufacturing date and the MRP so that they do not get fooled. It is one of the easiest tasksto perform for normal people as they can read. But what about the people with visualimpairment? How will they be able to get their medicine details?The proposed application tries to imitate this job for them and helps them better understandtheir medicines. The application scans the medicine content side and uses the advancedtechnologies like Tesseract optical character recognition (OCR), Computer Vision, Text toSpeech technology to extract the required information and makes it available to the user inthe form of audio. The application helps visually impaired people to independently carry outthis task without the hindrance of a third person
Underwater Image restoration using White balance mapping technique with Custom filter

Underwater image enhancement and restoration is a field of active research area. Enhancement and restoration techniques are used to reestablish the information which is affected by colour casting and suffer from poor visibility and lack of contrast and image content in underwater images for human viewing. The challenges of underwater photography are distortion of image clarity by skew, color imbalance, diffraction & refraction, motion blur etc. To overcome these problems, a highly effective & efficient hybrid technique for de-skewing, denoising & de-blurring of underwater images is presented here. Intensity & color correction are provided using image contrast adjustment & histogram equalization. Noise removal is achieved using median, wiener and custom filter. Three de-blurring methods are employed viz blind, motion & Gaussian, using total variation least square method. Deskew is provided using background & white balance mapping techniques. A single tool for restoration & enhancement of underwater images using combination of various operations viz color & contrast enhancement, de-blurring, deskewing & noise removal is presented.
Non-parametric radar signal sorting algorithm based on improved DSets

Objective  With the increasingly complex electromagnetic environment, it is more and more difficult to separate signals. In order to solve the problem that the performance of the existing efficient sorting algorithm depends heavily on external input parameters, a non-parametric radar signal clustering algorithm based on Dominant Sets (DSets) and Dempster-Shafer（D-S） evidence theory is proposed. Method  The algorithm is applied to radar signal sorting; a non-parametric radar signal pulse clustering algorithm is then given and combined with D-S evidence theory to solve the problem of excessive DSets algorithm segmentation. Results  In the absence of any prior information, this algorithm can complete the precise clustering of mixed pulse radar signals. In addition, its sorting accuracy rate is more than 93.13% when the false pulse ratio is less than 50%. Conclusion  The combination of the DSets algorithm and D-S evidence theory can effectively complete the clustering of radar signal pulses without prior information, and achieves good clustering performance.
THE ROLE OF KNOWLEDGE SHARING AND LEARNING ORGANIZATION THROUGH MEDIATOR INNOVATION

Knowledge management has become fundamentally vital in building organizations. The concept of knowledge management in organizations is a valuable instrument for improving organizational performance. The purpose of this study was to determine the effect of knowledge sharing on Organizational Performance, the influence of Organizational Learning on Organizational Performance, the influence of knowledge sharing on Innovation and the influence of Organizational Learning on innovation. This type of research is causality. The sample in this study were 217 managers of manufacturing companies in Surabaya, East Java. The data used are primary data.  Research instrument using a questionnaire.  Data analysis using Partial Least Square (PLS). The results showed that knowledge sharing had an effect on Organizational Performance, Organizational Learning had an effect on Organizational Performance, Knowledge sharing had an effect on Innovation and Organizational Learning had an effect on innovation. The results of the indirect relationship test show that innovation is able to mediate the effect of learning organization on entrepreneur performance. But innovation is not able to mediate Knowledge Sharing on Organizational Performance.
GRAB Tutor Management System with SMS Notification

Tutoring service is essential for students who require extra academic guidance in learning, especially in primary and secondary education levels. The common problems encountered by any students are the difficulties in finding the suitable tutors based on their preferred choice. The current existing web applications are still lack of responsive elements where they just only provide the fill-in form to search for the tutors. Therefore, the aim of this study is to address the inherent issue in finding suitable tutor match among the students and teachers by utilizing responsive filtering feature and SMS notification technology. The inclusion of these features is crucial to ensure that both parties informed on the appointment arrangement and status. The system known as GRAB Tutor Management System is targeted the secondary students especially the SPM candidates. This study adapts and simplifies System Development Life Cycle methodology into Three-Phase Model in designing and developing the system. The three phases are analysis, development, and evaluation phase. Each phase carries specific activities to accomplish the aim of this study and successfully delivered the proposed solution. GRAB Tutor Management System undergone a series of testing to evaluate its functionalities and acceptability. Functionality testing involved four expert and novice users, meanwhile user acceptance testing was conducted with 30 participants of secondary schoolteachers and students. The functionality test result revealed that all features are well functioned and successfully delivered. The user acceptance testing result indicates positive acceptance with the overall mean score is 4.64, which shown that the participants are agreed that this system is acceptable, easy to use and useful. It is proven that this study has successfully delivered a web-based Grab Tutor Management System with SMS Notifications that is useful for the tutors and students
Multiplexed entanglement-based quantum cryptography: concept and implementations

We introduce a general scheme for increasing secure key rates in entanglement-based cryptography exploiting multiple degrees of freedom. We experimentally exemplify this scheme through spatial and wavelength multiplexing. Scalability of our approach is demonstrated.
Empowering Digital Social Media in Organizing Computer Science Students Higher Education Assignments

Information technology has transformed higher education in various sectors, including the academic field. This study discusses how to blog by using WordPress facilitates online activity in computer science and information systems college students. The research objective to be achieved by the researchers through the research are as follows: 1) Utilizing DropBox & WordPress as a media for students assignments online, 2) How to make use of social technologies in the education atmosphere, and 3) Identify the features or facilities that could be used for the implementation of online assignments. The observation was conducted with 93 second-year students as respondents. The author develops the virtual class blog page by using WordPress, and Facebook to disseminate assignments instructions. Research findings show that male students are more dominant in this scheme. Social information technology likes WordPress and Facebook have many rich features in supporting virtual class activity for computer science students. The use of WordPress, Facebook, and DropBox can create an atmosphere of assignments and team project more modern, efficient, and environmentally friendly.
Margin Loss Based On Adaptive Metric For Image Recognition

Cross-entropy (CE) loss is one of the most commonly used supervision in image recognition. However, the features trained by CE loss are not discriminative enough. There are many methods using the angular-softmax CE loss to learn angularly discriminative features. But these methods still use manually designed metric, which cannot deal with complicated distribution of high-dimensional features, and there are no appropriate inter-class restraint. Therefore, we propose a novel method to restrain the distribution of features in high-dimensional. We construct trainable centers, and design adaptive metric to express the distance between features. Specifically, we design AdaMetricLoss which can manipulate inter-class distance and intra-class distance simultaneously. We evaluate the effectiveness of AdaMetricLoss on Cifar10 and Cifar100 datasets, and our method shows preferable classification performance. We also visualize the discriminative distribution of features on MNIST, proves the proposed method is more suitable for image recognition.