Reviewerly/exHarmony huggingface dataset:
Sistem Pakar Mengidentifikasi Kerusakan Pada Mesin Electronic Data Capture Ingenico Ict 250 Dengan Metode Forward Chaining

The sophistication of technology today is really fast, with this technology it can facilitate work that originally used a manual system to switch to an automatic system and can be applied in everyday life, one of which is a substitute system for an expert or expert system. The EDC (electronic data capture) machine is indeed one of the supporters and triggers for accelerating the new culture. Financial transactions at the consumer level are easier to do, currently a new EDC machine technician working at PT. Indopay Merchants Services, which has its head office in Menara Batavia, Mas Mansyur 9th Floor, Jakarta, and a warehouse branch office in Semarang, takes a long time to diagnose the damage that occurred to an EDC machine. The development of expert systems can be used to provide solutions quickly and precisely, for example in determining the type of damage to the EDC machine. The solution to this problem, the author tries to build an application that will help make it easier for EDC machine technicians to provide solutions. An expert system is a system that tries to imitate human knowledge to a computer, so that computers can solve problems like experts. A good expert system is designed to be able to solve a certain problem by imitating the work of experts. It is hoped that the existence of an expert system to analyze the damage to the EDC machine will make it easier for new technicians to diagnose and study a malfunction that has occurred as well as provide convenience for user management and machine optimization at merchants.
Perancangan dan Implementasi Topologi WAN Menggunakan Routing Dynamic BGP Antar Cabang di PT Bank Woori Saudara Tbk

Technology in the form of a network system is one of the needs that must exist in every company because a large company must have a number of branch offices that are quite far away. especially between the head office which is located far from the branch office with the computer network system making it easier for companies to exchange information effectively and efficiently. One way to support this is by using the internet. However, to connect them there are rules that apply so that the networks communicate with each other, so certain techniques are needed, using wide area network (WAN) network technology. This study aims to facilitate the exchange of data and information communication lines between the Head Office and Branch Offices by designing and implementing a WAN topology, the author will use the concept of BGP Dynamic Routing Between Branches at PT. Bank Woori Saudara Tbk. The results of this study using BGP Routing (Border Gateway Protocol) there is an AS (Autonomous System) number assigned to each router. This AS serves as the identity of the router and router administration in recognizing the path of the neighboring router (neighboor) is active or not. In addition, by adding 1 (one) ISP at the head office of PT. Bank Woori Saudara Indonesia 1906 Tbk, can guarantee that the connection between the head office and branch offices remains connected. Finally, by using Dynamic Routing BGP fail-over can run well, with the dynamic routing work system being able to recognize whether the neighboring network is active or not. If it recognizes that the neighboring network is not active, the router will look for another alternative path.
SISTEM INFORMASI DATA PENGGAJIAN PEGAWAI PADA DINPENDUKCAPIL KABUPATEN PURBALINGGA BERBASIS WEBSITE

Abstrak : Penelitian ini dilatar belakangi hasil pengamatan dan penelitian oleh peneliti,bahwa seiring dengan era globalisasi perusahaan/instansi dituntut harus semakin cepat dan tanggap dalam mengantisipasi keadaan yang mungkin terjadi di masa depan. Salah satu faktor penting dalam mengelola data gaji pegawai, kenaikan pangkat dan kenaikan gaji pegawai. Permasalahan penelitian ini adalah bagaimana membangun suatu sistem informasi data gaji pegawai, kenaikan pangkat dan kenaikan gaji secara terkomputerisasi, Metode pengumpulan data yang digunakan dalam penelitian ini adalah sebagai berikut : Metode riset, Teknik Wawancara. Tujuan dalam penelitian ini adalah Merancang sistem data gaji pegawai,k enaikan pangkat dan kenaikan gaji pegawai menggunakan Logical Record Structure (LRS), Entity Relationship Diagram (ERD). kesimpulan dari hasil testi diketahui bahwa aplikasi yang dirancang sudah sesuai dengan kebutuhan Data Gaji, Kenaikan Pangkat Struktural, Fungsional dan Kenaikan Gaji. Diharapkan website ini dapat mempermudah admin dalam mengelola data gaji pegawai dan membuat laporan pangkat dan juga laporan kenaikan gaji pegawai. Kata Kunci : Penggajian;Pegawai;Sistem; Abstrack : This research is based on the results of observations and research by researchers, that along with the era of globalization, companies/agencies are required to be faster and more responsive in anticipating conditions that may occur in the future. One of the important factors in managing employee salary data, promotions and salary increases Employees. The problems of this research are (1) How to build a computerized information system for employee salary data, promotions and salary increases? (2) The data collection methods used in this study are as follows: (1) Research methods. (2) Interview Techniques. The purpose of this study is to design a data system for employee salaries, promotions and salary increases using Logical Record Structure (LRS), Entity Relationship Diagram (ERD). Based on the analysis and conclusions that have been carried out in this study, it is concluded from the test results that it is known that the application designed is in accordance with the needs of Salary Data, Structural Rank Promotion, Functional and Salary Increase. It is hoped that this website can make it easier for admins to manage employee salary data and make rank reports and also reports on employee salary increases.Keywords: Payroll; Employee; System;
Unique Authentication System in End-To-End Encrypted Chat Application

Communication has been a part and parcel of our daily life. The advent of technology has bolstered the quality of communication and thus made it effective. Consequently, chat applications have become the primary method of connecting and socializing with people. However, the rise of these applications has also led people to question the confidentiality of their services. In this paper, we are proposing a secure chat application along with a unique authentication system while simultaneously providing a methodology for End-to-End Encryption. Our solution fulfills a set of requirements that are required for a safe chatting experience. We will be presenting an in-depth procedure of our alternative approach for developing a well-rounded and end-to-end encrypted chat application.
Smart Attendance with Real Time Face Recognition

Face Recognition (FR) is a biometric technique that involves determining whether the image of a given person’s face matches any of the face images stored in a database. As a key attributes of biometric ratification, FR is widely utilized in different types of administration systems for video surveillance, computer human interface, indoor access systems, & network security. The proposed scheme is designed for student detection and recognition for tracking student attendance. As a result, Smart Attendance with Real Time Face Recognition (SARTFR) is a practical solution for day to day employee management activities. SARTFR is proposed based on Viola Jones Algorithm and LBP methods. SARTFR has got better results in terms of detection, recognition and tracking from the results.
Vehicle Spotting in Nighttime Using Gamma Correction

Vehicle detection has become an important and challenging aspect of a safe transportation system in the nighttime as most accidents occur at night due to the absence of night lighting conditions. Many algorithms detect the vehicles at nighttime based on the headlights of the vehicles, but it does not apply in the daytime or when the headlights were off. These algorithms also find difficulty when vehicles are in no motion or when it is in parking in the night. In this paper, two approaches, image transformation (IMT) approach and the vehicle detection (VD) approach, are used to detect the vehicles in the nighttime. IMT approach is built based on OpenCV and Gamma correction. This approach is used to change the illumination of the images which are not clearly visible or very dark images. Gamma correction increases brightness of an image. Second, the OD module uses the Haar cascade classifier. The patterns in this classifier can identify the vehicle/object based on those patterns. In this paper, our approach will identify the vehicles in night which are parked or headlights were off, based on patterns like in the daytime by increasing the brightness of the images, to avoid the confusion of headlights.
A Data Sharing Protocol to Minimize Security and Privacy Risks of Cloud Storage in Big Data Era

A cloud computing-based big data sharing system utilizes a storage facility from a cloud service provider to share data with legalized system users. In contrast to accepted solutions, cloud provider stores the shared data in the large data centers outside the trust domain of the data owner, which may set of rules with the problem of data secrets. In this project, I propose a secret sharing group key management protocol (SSGK) to protect the transmissions of data from one place to another place by using secret key with set of rules. Different from the prior works, a group key is used to encrypt the shared data, and a secret sharing scheme is used to distribute the group key in SSGK. The extensive security and performance analyses indicate that our protocol highly minimizes the security and privacy risks of sharing data in cloud storage and saves storage. Also, this project shows that the comparison of encryption and decryption file size and encryption time and decryption file time using SSGK protocols.
Hybrid Semantic Text Summarization

Abstract: Automatic summarizing involves condensing a written material using a computer algorithm to provide a summary that keeps the key ideas from the original text. Finding a representative subset of the data that includes the details of the complete set is the basic goal of synthesis. There are two different sorts of summarising approaches: extractive and abstractive. Our system is interested in a mix of the two methods. To produce the extracted summary in our method, we have incorporated a variety of statistical and semantic variables. Emotions are significant in life since they reflect our mental condition. As a result, our syntactic characteristic is empathy. To creating summaries, our approach fundamentally integrates syntactical, psychological, and statistical techniques. We implement petroleum text summarization using word2vec (Deep Starting to learn) as a semantic feature, K-means clustering technique, and system parameters. The innovative speech synthesizer, which combines WordNet, Lesk engine, and POS, receives the created extracted analysis and converts it into an abstractive analysis to create a hybrid exhibited great. Using the DUC 2007 dataset to assess our summarize, we produced effective results
The impact of the internet of things on information institutions from the perspective of library employees

This paper addresses the role of the Internet of Things applications in supporting knowledge management activities in information organizations and so their services improve.To achieve this objective, the research adopts the descriptive approach through the investigation and analysis of the intellectual outcome published in the Arab and foreign countries to identify the relationship between the Internet of Things and knowledge management activities in information institutions.The results indicated that information institutions benefited from the Internet of things in tracking all the physical and intangible entities in these institutions and defining their locations in case of loss or replacement.Moreover, they could define the numbers of visitors, peak hour and the most used sources.Hence, they offered fast and interactive services that comply with the aspirations of the beneficiaries.The research recommends that various information institutions should take the initiative to benefit from the Internet of things applications that fulfill the new requirements of their beneficiaries.
FACILITATIVE TECHNIQUES AS AN EFFECTIVE MEANS ADJUSTMENT OF GROUP DISCUSSION

The article reveals the practical effectiveness of facilitation. The main methods of the facilitator work are singled out. Facilitation mechanisms are proposed, which are focused on individual motivation, comfortable work in a group, providing the opportunity to express one's opinion, and improving approaches through discussion. The main tasks of the facilitator are defined and recommendations on intensification of group work are given. It is proved that the key to facilitating the communication process is the organization of space, attracting and promoting the potential of individual students and the group as a whole, as well as supporting participants in achieving their goals. The effectiveness of the transition to facilitative methods in order to effectively establish group discussion and increase the efficiency of any group on the way to achieving goals.
Verification approach for medical data in e-healthcare system based on biometric and watermarking

Medical information is crucial in the healthcare system, and its manipulation can lead to misdiagnosis.Medical images also contain personal information for patients; hence, information security and privacy protection are paramount when transferring medical images over the Internet.Biometric approach and watermarking techniques are used to achieve this purpose.The focus of this paper was on a biometric watermarking system with a frequency domain in which the sender's iris code is employed as a sender authentication key.The privacy of the patient's information is preserved by encrypting it and embedding the key in the cover medical image created by the Discrete Wavelet Transform.The algorithm has shown that the proposed system has met previous requirements.
Proposing a security system for the VPN through design and implementation of a scheme for android and IOS mobiles based on two-factor authentication

A virtual private network (VPN) is a network, but a virtual network means that it creates a virtual bridge between the user and the server located somewhere across the world, and this network is private because to connect the connection with it you must have an account and password.The idea of VPN arose to protect its communications from industrial espionage, because there are very easy ways to penetrate a network and steal the information circulating in it.Data transmission encryption protocols and tunneling systems are used in order to secure the transfer of information between two points back and forth, so their data is encrypted and protected.Hacking the VPN is a very dangerous thing because of the importance and privacy of the data.Therefore, special systems must be provided for the VPN to suit the network's work scenarios with high security.In our work, we proposed a private authentication system for the VPN network that provides high security with fast execution and reliability based on two factors authentications: Using the varieties of authentications method, robust VPNs screen everybody who will tries to sign in.An authentication system was designed based on a special user interface that provides an easy environment for choosing two passwords in two different stages of registration and authentication.The proposed system was implemented on Android and iOS devices.The proposed system was evaluated through experiments with 720 participants with 3600 system entry processes, then the proposed system was tested in terms of its ability to break and resistance to different types of attacks.Where it was tested by 1900 attacks at different times with participants who were randomly selected from the main sample of participants during the implementation period of 30 days through using the modern types of mobile devices.
Real-Time and Context-Based Approach to Provide Users with Recommendations for Scaling of Cloud Resources Using Machine Learning and Recommendation Systems

The recent paradigm of IT services has shifted from desktop-based infrastructure to cloud-based infrastructure. One of the most essential services provided by the cloud is infrastructure-as-a-service (IaaS). IaaS allows customers to use infrastructure such as servers, storage, and processing units of a provider on a pay-as-you-go basis. Customers can scale resources up and down as per the requirement. There are many infrastructure providers in the market available today, but if a customer can be recommended about the requirement of resources in the upcoming future based on the context-driven recommendation system using the historic data of requests in various periods, then this can help customers scale up their resources in the time of need. By the use of this recommendation system, customers can scale up their resources when their usage requirements are about to increase without bearing the loss in business; moreover, customers can take easy calls with the support of this recommendation system as to when they should increase their requirements.
Social Media Role in Pricing Value of Cryptocurrency

Cryptocurrency is a modern idea of decentralized digital currency. It is miles a shape of currency that exists handiest in digital form. To save you fraudulent transactions, a decentralized device is based on the block chain system to report and oversee transactions. For several years, cryptocurrency has been an ultra-modern subject matter, in particular inside the most youthful population. They invest their money for profit and for the fun additionally. Right here, social media plays a very critical function in manipulating the rate of cryptocurrency. As we recognize that social media is a completely effective device to mention anything to the general public. Now, the afternoon anyone is using social media and some bilinear humans use this approach and change the fee in crypto for his or her income and they advantage a totally massive profit. The impact of social media on the fee/price of cryptocurrencies is the focus of this study. And how this may manipulate the charge of cryptocurrencies. This has a look at additionally specializes in the prevailing situation and destiny potentialities of cryptocurrencies.
Deriving Soft Biometric Feature from Facial Images

This paper is based on deriving race information from face images. The work is carried out in two scenarios: first, for images taken in controlled laboratory settings and second, in natural unrestricted environment. Several small datasets are combined for the first case while BUPT dataset is selected for the second case. Linear features such as Principal Component Analysis, Linear Discriminant Analysis and Local Binary Pattern are investigated for the purpose. Experiments show these features have satisfactory discriminative ability in the first scenario with average classification accuracy of 91% while for the BUPT data the performance drops down by an average of 15%. It proves the sensitivity of these features toward variation in background, illumination, pose and expression. An overall comparison also shows that local features like LBP have more differentiating power than the holistic feature like PCA and LDA.
An alternative m-learning scoring approach to automatically evaluate Iqro’s pronunciation based on pitch, volume, and rhythm features

&lt;span lang="EN-US"&gt;The &lt;/span&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;Iqro’&lt;/span&gt;&lt;/em&gt;&lt;span lang="EN-US"&gt; has been proven as an effective method to improve literacy for reading &lt;/span&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;Hijaiyah&lt;/span&gt;&lt;/em&gt;&lt;span lang="EN-US"&gt; letters which are the fundamental skill for reading the Qur’an. The &lt;/span&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;Iqro&lt;/span&gt;&lt;/em&gt;&lt;span lang="EN-US"&gt; method relies on a mentor to evaluate the accuracy of the student’s pronunciation of the &lt;/span&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;Hijaiyah&lt;/span&gt;&lt;/em&gt;&lt;span lang="EN-US"&gt; letters. With the advancement of mobile technology, many mobile apps are available to assist the learning process. However, the existing solution that is available on the market only provides a one-way learning experience where users only focus on enhancing vocabulary, writing, and reading ability with a simple true-false assessment. Although enhancing the vocabulary and reading ability is important, training the correct &lt;/span&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;Makhraj&lt;/span&gt;&lt;/em&gt;&lt;span lang="EN-US"&gt; (Arabic pronunciation) is also essential in fundamental &lt;/span&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;Hijaiyah&lt;/span&gt;&lt;/em&gt;&lt;span lang="EN-US"&gt; learning. This paper presents the feasibility investigation of the usage of the pitch, volume, and rhythm as the more comprehensive audio assessment parameters in the voice recognition module to evaluate the student's ability to pronounce the &lt;/span&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;Hijaiyah&lt;/span&gt;&lt;/em&gt;&lt;span lang="EN-US"&gt; letter in an m-learning implementation. Instead of just presenting the true-false output, the proposed method will calculate the &lt;/span&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;Makhraj&lt;/span&gt;&lt;/em&gt;&lt;span lang="EN-US"&gt; correctness in the range 0 to 100. Experimental results with 10 respondents show that the sample correlation coefficient using Pearson between a manual assessment by &lt;/span&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;Ustaz&lt;/span&gt;&lt;/em&gt;&lt;span lang="EN-US"&gt; and the application result for &lt;/span&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;Iqro’&lt;/span&gt;&lt;/em&gt;&lt;span lang="EN-US"&gt; level 1 is 0.51 which means this approach is acceptable for future implementation.&lt;/span&gt;
Sensored speed control of brushless DC motor based salp swarm algorithm

&lt;p&gt;This article uses one of the newest and efficient meta-heuristic optimization algorithms inspired from nature called salp swarm algorithm (SSA). It imitates the exploring and foraging behavior of salps in oceans. SSA is proposed for parameters tuning of speed controller in brushless DC (BLDC) motor to achieve the best performance. The suggested work modeling and control scheme is done using MATLAB/Simulink and coding environments. In this work, a 6-step inverter is feeding a BLDC motor with a Hall sensor effect. The proposed technique is compared with other nature-inspired techniques such as cuckoo search optimizer (CSO), honey bee optimization (HBO), and flower pollination algorithm (FPA) under the same operating conditions. This comparison aims to show the superiority features of the proposed tuning technique versus other optimization strategies. The proposed tuning technique shows superior optimization features versus other bio-inspired tuning methods that are used in this work. It improves the controller performance of BLDC motor. It refining the speed response features which results in decreasing the rising time, steady-state error, peak overshoot, and settling time.&lt;/p&gt;