Reviewerly/exHarmony huggingface dataset:
The extent of applying transparency standard as one of the standards of governance in the human resources recruitment process: – A practical study on the Development Authority of Makkah Al-Mukarramah Region –: مدى تطبيق معيار الشفافية كأحد معايير الحوكمة في عملية توظيف الموارد البشرية – دراسة ميدانية على هيئة تطوير منطقة مكة المكرمة –

This study came with several objectives, most notably to discuss the impact of transparency as one of the standards of governance on the human resources recruitment process. To achieve the objectives of the study, the researcher followed the descriptive analytical approach, to conduct this study. The questionnaire was used as a main for collecting data from members of the study population. The study population consists of the employees of the Development Authority of Makkah Al-Mukarramah Region, whose number is 177 employees. The study found several results, the most prominent of which is the existence of a statistically significant correlation between transparency as one of the governance criteria and the human resources recruitment process in its various stages (recruitment, selection, appointment) in the Development Authority of Makkah Al-Mukarramah Region, where the correlation coefficient between transparency and the human resources recruitment process in its various stages reached a value of (0.910), Which is a very strong correlation coefficient. In light of the results of the study, the researcher recommends the need to announce in advance in all the advertising and media outlets available in the best possible way all the criteria and the criteria used to select applicants for jobs. It is also necessary to increase attention to the process of stimulating the external recruitment process to attract the best human competencies by examining the different labor market conditions.
An Automated Framework for Testing Source Code Static Analysis Tools

Automated testing frameworks are widely used for assuring quality of modern software in secure software development lifecycle. Sometimes it is needed to assure quality of specific software and, hence specific approach should be applied. In this paper, we present an approach and implementation details of automated testing framework suitable for acceptance testing of static source code analysis tools. The presented framework is used for continuous testing of static source code analyzers for C, C++ and Python programs.
Methods of using digital technologies in the education system

Digital technologies in education are a way of organizing a modern educational environment based on digital technologies. Dynamically developing digital technologies offer new tools that effectively complement the traditional tools for the educational process, which many teachers quickly introduce into their methodological system and work with intensively. The use of digital educational resources provides fundamentally new opportunities for improving the efficiency of the educational process. Digital educational resources are an operational means of clarity in teaching, an assistant in working out practical skills of students, organizing and conducting questionnaires and monitoring students, as well as monitoring and evaluating homework; have a large place in working with diagrams, tables, graphs and symbols, editing texts and correcting errors in students’ creative works. The goal of this article is to analyze the features of the application of methods of using digital technologies in the education system. Achieving this goal required setting and solving the following tasks: to consider the essence of digital technologies in the education system, to determine the role and importance of effective digital technologies in the educational process, to study the practice of using effective digital technologies, to develop proposals and recommendations for methodological improvement of the use of effective digital technologies in the education system. The object of the study is the social relations that develop in the process of applying digital technologies in the education system. The subject of the research is digital technologies in the education system. Research methods: literature study, generalization, logical, questionnaire, comparison, and other research methods.
Real Time Vehicle Tracking, Information Retrieval and Motion Analysis using Machine Learning

Today, Internet of Vehicles has given us the opportunity to understand our vehicle in digitized way. To track the vehicle, information regarding the vehicle registration number, the real time location of the vehicle, speed of the vehicle, detail of the vehicle owner etc. are needed both by the traffic authorities and the driver while driving itself. An approach to track the vehicle and to notify the traffic authority as well as driver is discussed in this paper. An algorithm is implemented to transmit the data from tracked vehicle. As part of the solution, a mobile application is implemented and used to track the location and speed of the vehicle. We are proposing a context aware application using RFID sensor, head up display to track, analyse and control vehicle motion and speed in real time. The solution gives all the information related to the vehicle and driver to the traffic authority.
GETTING STUDENTS ACTIVELY INVOLVED USING THE ‘MISTAKE BUSTER TECHNIQUE” TO IMPROVE THEIR NARRATIVE ESSAY

Checking higher Intermediate 2 level students’ narrative essay, an idea to get the students actively involved in improving their narrative essay came up. It could not be by just giving the score and gave it back to them. The mistakes can fossilize. So, the “Mistake Buster Technique” was applied. First, the students applied the “Mistake Buster Technique” by doing peer correction to their narrative essay in their first writing. Second, they used the Mistake Buster Technique” to find and correct the “unidentified mistakes” from their peer correction activity. Their first writing was used as the pretest, while the posttest was taken from their first periodic test. Based on the data analysis, the results of the pretest mean score is 15.48, and the posttest is 17.14. The mean difference is 0.004. The result showed that the ‘Mistake Buster Technique” significantly improves students’ narrative essay. It also minimized students’ grammatical errors. It was indicated by their grammar pretest mean score 3.36 that improved to 5.00 in their grammar posttest mean score. In additional, this technique allows the students to communicate with their peer in identifying and correcting the mistakes. Another benefit is they can collaboratively identify the possible mistakes themselves. It is a creative activity for the students to take over the role of correcting mistakes. Switching the role of the "mistake corrector" can be used to reinforce their critical thinking and problem solving. In short, the” Mistake Buster Technique” is very effective and useful to correct their mistakes.
Rancang Bangun Sistem Pendataan Hardware

Currently, advances in information technology have had a tremendous impact in all aspects of life, especially PTIPD UIN SUSKA RIAU also requires information technology that can assist employees' work. With information technology, data at PTIPD UIN SUSKA RIAU can be processed quickly and efficiently to increase the effectiveness and efficiency of completing work and the scope of communication and information. The processing of hardware data collection documentation carried out by PTIPD is still carried out outside the system, causing the data collection documentation process to be longer and less efficient. The solution given to overcome this problem is to make a hardware data collection system. Making a hardware data collection system included in the system provides information about the list of goods and officers. While the software used is a DBMS (DataBase Management System) used as a data storage medium is MySql, the programming languages ​​PHP, CSS, JavaScript, and HTML are used as interfaces, which aim to make it easier users and administrators to manipulate data.
PENINGKATAN KEMAMPUAN MENULIS KARANGAN DESKR IPSI SISWA MELALUI MODEL PEMBELAJARAN COR2SF DENGAN BERBANTUAN MEDIA AUDIO VISUAL

The research objective was to determine the improvement of students' writing ability in writing descriptions by using the COR2SF learning model assisted by audio-visual media. Quantitative method, this research uses quasi-experimental research design (quasi experiment), using a control group design, in this design two groups are selected not random. The population of SMP Negeri 1 Kahu used purposive sampling sample, namely the control class class VIII A and the experimental class class VIII B. The experimental class was given treatment using the COR2SF learning model while the control class was not given a modified COR2SF learning model. The techniques used in collecting data in this study were observation, interviews, questionnaires, tests, documentation. The results of observations that have been made at SMP Negeri 1 Kahu, found problems in class VIII C after carrying out apprenticeship 2.The first problem was found in the teaching and learning process in class VIII C, namely students were less active in the learning process, tended to play around during the process learning. This problem is seen when the teacher teaches, only about 50% of active students are really serious and able to do the assignments given by the teacher. Of the 31 students, only 15 of them were able to get scores that really reached the KKM while the other 16 had the scores that had not reached the KKM number, for other class VIII C students were only able to do low-level questions.
Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems

The vast diversity of internal designs of black-box AI systems and their nuanced zones of safe functionality make it difficult for a layperson to use them without unintended side effects. The focus of my dissertation is to develop algorithms and requirements of interpretability that would enable a user to assess and understand the limits of an AI system's safe operability. We develop an assessment module that lets an AI system execute high-level instruction sequences in simulators and answer the user queries about its execution of sequences of actions. Our results show that such a primitive query-response capability is sufficient to efficiently derive a user-interpretable model of the system in stationary, fully observable, and deterministic settings.
Learning from Multimedia Data with Incomplete Information

Traditional deep learning methods are based on the condition that the data is of high-quality, which means the data information is highly available. However, data in these scenes often have the characteristics of large background noise, lack of sample content, small target, serious occlusion and a small number of samples. The application of related tasks in real open scenarios is very important, so it is urgent to make full use of these incomplete information data accurately.
An Analyze Stability of Traditional Boat in Riau Island

Traditional boat are quite important means of transportation in the Riau Islands because of their natural contours consisting of islands. Boat is the main transportation and also lest costs because it only uses simple technology and simple maintenance. This paper is aims to investigate the traditional boat of Riau's curiosity. It is used to find the things that must be prepared with possible dangers arising from the stability of the boat. This research was conducted by collecting data on the main dimension of the traditional boats used in the Riau Islands. From the main dimensions, measurements are made of the shape of the vessel using digital equipment (infrared) combined with simple equipment to obtain maximum results. From the measurement results, then the simulation is carried out using software with several criteria to get the desired results. From the research results, it is found that the boat still has adequate stability on the: lightweight condition, lightweight with 1 person on board and engine, lightweight with one person onboard with engine and even load. In the future, research will continue to simulate loading when the boat will be used to transport people, luggage with variations in wave angle and boat direction.
Membangun E-commerce Spare Parts Mobil pada Toko Aneka Jaya Motor

Aneka Jaya Motor is company engaged in the business of selling car spare parts in Bekasi.At present Aneka Jaya Motor shop is only a shop, so the buying and selling process only occurs in theshop. Iin the current system there are many obstacles, such as the difficulty of promotion Aneka JayaMotor goods to many customers, because so far the bidding and transactions have been done manually,which only relies on the buyer to come directly to the store. In conducting this research, the type ofresearch use is qualitative research with the research method used in this research is Waterfall withsystem requirements, system analysis, system design with UML modelling and system implementationusing PHP and MySQL and tested using the blackbox testing method. The results in this study are thecreation of e-commerce information systems for selling car spare parts based website at Aneka JayaMotor store that helps the sales process and makes it easy to transact long distances with Aneka JayaMotor customers.
Peminjaman Dan Pengembalian Buku Perpustakaan Dengan Metode Rapid Application Development Pada SMA Nusantara 1 Tangerang

In order to support national education through the provision of learning resources, the library must act as a learning center that meets the needs of students, especially at SMA Nusantara 1 Tangerang. Currently, the application of the system for borrowing and managing books to making reports at the SMA Nusantara 1 Tangerang library is still done manually, so errors can occur in recording and data recorded on paper that is damaged or lost at any time. This design program is made so that the process of borrowing and developing books to making library reports at SMA Nusantara 1 Tangerang can be carried out effectively and efficiently, the development of a system for borrowing and writing books at SMU Nusantara 1 Tangerang can be done effectively and efficiently, because it is one of the system methods aimed at providing much faster development and getting better quality results. The author uses RAD in addition to aiming to shorten the time usually required in the traditional system development life cycle between the design and implementation of an information system
OBJECT RECOGNITION FOR AUGMENTED REALITY APPLICATIONS

Developments in the field of neural networks, deep learning, and increases in computing systems’ capacity have allowed for a significant performance boost in scene semantic information extraction algorithms and their respective mechanisms. The work presented in this paper investigates the performance of various object classification- recognition frameworks and proposes a novel framework, which incorporates Super-Resolution as a preprocessing method, along with YOLO/Retina as the deep neural network component. The resulting scene analysis framework was fine-tuned and benchmarked using the COCO dataset, with the results being encouraging. The presented framework can potentially be utilized, not only in still image recognition scenarios but also in video processing.
Bayesian Experience Reuse for Learning from Multiple Demonstrators

Learning from Demonstrations (LfD) is a powerful approach for incorporating advice from experts in the form of demonstrations. However, demonstrations often come from multiple sub-optimal experts with conflicting goals, rendering them difficult to incorporate effectively in online settings. To address this, we formulate a quadratic program whose solution yields an adaptive weighting over experts, that can be used to sample experts with relevant goals. In order to compare different source and target task goals safely, we model their uncertainty using normal-inverse-gamma priors, whose posteriors are learned from demonstrations using Bayesian neural networks with a shared encoder. Our resulting approach, which we call Bayesian Experience Reuse, can be applied for LfD in static and dynamic decision-making settings. We demonstrate its effectiveness for minimizing multi-modal functions, and optimizing a high-dimensional supply chain with cost uncertainty, where it is also shown to improve upon the performance of the demonstrators' policies.
DESIGN AND IMPLEMENTATION OF AN AUTOMATED ANTI-PIRACY SYSTEM

Cinema is a major entertainment for people in today’s life. To entertain people a lot of investment is put on cinemas by the film – makers. Their effort is being ruined by few people by pirating the cinema content. They do it by capturing the video in mobile camera and upload it to websites or sell it to people and this goes on. In this project, a technical method to prevent video recording in movie theatres is presented. An invisible light is projected from the screen to the whole audience that falls on the cameras which are optically sensitive to infra-red light in turn disturbing the acquisition functions of any camera making an illegal recording in the theatre useless. Nowadays, camcorder piracy has great impact on the motion picture industry. Although some watermarking technologies can track the movie pirate, the video content viewed in the theater may be affected and they cannot obstruct the need of pirated movie because the watermarks in pirated moves are invisible. This paper presents a new method to defeat camcorder piracy and realize content protection in the theater using a new paradigm of information display technology, called Temporal Psychovisual Modulation (TPVM), which utilizes the differences between the human-eye perception and digital camera image- forming to stack an invisible pattern on digital screen and projector. The images formed in human vision are continuous integration of the light ﬁeld, while discrete sampling is used in digital video acquisition which has “blackout” period in each sampling cycle. Based on this difference, we can decompose a movie into a set of display frames with speciﬁc patterns and broadcast them out at high speed so that the audience cannot notice any disturbance, while the video frames captured by camcorder will contain highly objectionable artifacts (i.e., the patterns). The pattern embedded in the movies can also serves as tracking information to reveal the one responsibility for the camcorder piracy.
INDONESIAN-TRANSLATED HADITH CONTENT WEIGHTING IN PSEUDO-RELEVANCE FEEDBACK QUERY EXPANSION

In general, hadith consists of isnad and matan (content). Matan can be separated into several components for example a story, main content, and some additional information. Other texts besides main content, such as isnad and story can interfere the retrieval process of relevant documents because most users typically use simple queries. Thus, in this paper, we proposed a Named Entity Recognition (NER) component weighting model in improving the Indonesian hadith retrieval system. We did 3 test scenarios, the first scenario (S1) did not separate the hadith into several components, the second scenario (S2) separated the hadith into 2 components, isnad and matan, and the third scenario separated the hadith into 4 components, isnad, background story, content, and additional information. From the experimental results, it is found that the TF-IDF with rocchio algorithm in query expansion outperforms DocVec. Also, separation and weighting of the hadith components affect the retrieval performance because isnad can be considered as noise in a query. Separation of 2 separate components had the best overall results in general although 4 separate components showed better results in some cases with precision up to 100% and 70% recall.
THE INFLUENCE OF WORK MOTIVATION TOWARD THE LIBRARIAN'S PERFORMANCE IN UPT LIBRARY OF UNIVERSITAS HASANUDDIN MAKASSAR

The main problem of this study is how can the work motivation influence the librarian performance in UPT Library of Universitas Hasanuddin Makassar. Then, this problem is broken down into some sub-problems or research questions, such as 1) how is the work motivation in UPT Library of Universitas Hasanuddin Makassar, 2) how is the librarian performance in UPT library of Universitas Hasanuddin Makassar, and 3) how much is the influence of work motivation toward the librarian performance in UPT library of Universitas Hasanuddin Makassar. This study employed descriptive statistical research with a quantitative approach. The population of this study is all the librarians in UPT library of Universitas Hasanuddin Makassar, with a total number of 33 librarians who became the respondents. The procedure of collecting data in this study used a printed questionnaire. Then, the technique of data analysis was done by using correlation and validity test. This study aims to know about the influence of work motivation toward librarian performance in UPT library of Universitas Hasanuddin Makassar. Based on the result of the data, the variable of work motivation (X) had a strong influence on librarian performance (Y) in UPT library of Universitas Hasanuddin Makassar, the value of pearson correlation was 0,667 or 66.7%, then the significance was 0,000 &lt; 0,05. These values showed that the variable of work motivation (X) influence the librarian performance (Y) simultaneously in 45%. Meanwhile, the leftover in 55% was influenced by other variables. The implication of this study is that the other researchers will take the topic of work motivation toward librarian performance into account and observe it deeply to measure how much is the librarian performance can improve the capacity of library's visitor, which depends on how much motivation that can be given from head of librarian which can affect the prosperity of the librarians.
Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract)

Top-k maximum inner product search (MIPS) is a central task in many machine learning applications. This work extends top-k MIPS with a budgeted setting, that asks for the best approximate top-k MIPS given a limited budget of computational operations. We study recent advanced sampling methods, including wedge and diamond sampling, to solve budgeted top-k MIPS. First, we theoretically show that diamond sampling is essentially a combination of wedge sampling and basic sampling for top-k MIPS. Second, we propose dWedge, a simple deterministic variant of wedge sampling for budgeted top-k MIPS. Empirically, dWedge provides significantly higher accuracy than other budgeted top-k MIPS solvers while maintaining a similar speedup.