Reviewerly/exHarmony huggingface dataset:
The Impact of Digital Transformation in the Egyptian Private Universities on Achieving Organizational Excellence, Using the German University in Cairo as a Model

Considering contemporary developments and challenges, to achieve organizational excellence, universities must undergo digital transformation, relying on knowledge of and integrating information technology into all their fields and services.&#x0D; &#x0D; This study aimed to examine the impact of four dimensions of digital transformation:&amp;nbsp; strategic requirements, organizational culture requirements, human resource requirements, and technological and legislative requirements for achieving organizational excellence in Egyptian private universities, using the German University in Cairo as a case study. To achieve study objectives, the descriptive analytical method was used. Questionnaires were distributed among 199 faculty members, chosen using a stratified random sample, from various university faculties. Of these, 185 valid responses were retrieved, a response rate of 92.6%. The study found that the impact of digital transformation on achieving organizational excellence is statistically significant. The combined dimensions of digital transformation explain the 74.7% variance in organizational excellence. &#x0D; &#x0D; The research contributes important insights into the impact of digital transformation on achieving organizational excellence. Its theoretical and practical implications were discussed.
Developing an Instrument That Explores Customers’ Experience with Banking E-Services during the COVID‐19 Pandemic in Saudi Arabia

This study aims to develop a research instrument that measures e-banking customers&amp;rsquo; experience of online banking services. In addition, the study aims to validate and define the newly developed instrument and to explore the factors influencing customers&amp;rsquo; experiences with banking e-services in Saudi Arabia. An electronic database search was used to formulate a new questionnaire to address the study&amp;rsquo;s main themes (constructs). Experts provided face and content validity, and items that failed to contribute to an explanation of the study concepts were excluded. The first draft contained 10 themes and 78 items, but once the questionnaire&amp;rsquo;s conceptual framework had been clearly defined, the number of items was reduced to 75. The questionnaire represents customers&amp;rsquo; experiences with the banking e-service, and it provides researchers and experts with a tool for assessing the factors that influence the promotion of e-services in the banking sector.
Peningkatan Kompetensi Algoritma Pemrograman untuk Guru SMK Negeri 1 Salatiga

Accounting teachers at the State Vocational High School (SMK) 1 Salatiga currently have the competence to record manual accounting and accounting applications already available on the market. However, the World of Business and Industry demands that SMK graduates be able to develop simple accounting applications for Small and Medium Enterprises (SMEs). Application development requires mastery of programming algorithm competencies to help think more logically, creatively, and critically. This condition encourages accounting and computer teachers at SMK Negeri 1 Salatiga to need the training to improve algorithmic and programming competencies. This community service activity aims to enhance the competence of programming algorithms for accounting and computer teachers at SMK Negeri 1 Salatiga. The presentation of the material is arranged by the mentors so that this training program can be completed quickly and the objectives are achieved. There are three methods of implementing the activity: (1) socialization of programming algorithm material; (2) programming algorithm training activities; (3) case practice of programming algorithms. Participants in this activity were ten teachers at SMK Negeri 1 Salatiga, namely nine teachers majoring in accounting and one computer teacher. This activity was held in September 2022. Competency improvement was measured by conducting a pre-test and post-test on activity participants regarding programming algorithm material using a questionnaire containing 30 multiple-choice questions. The result of this activity is an increase in the competency of the participant's programming algorithm from 10 percent to 90 percent, and the activity participant’s can solve cases of programming algorithms and document them using the flowgorithm correctly.
Implementasi Program Bilingual untuk Mengembangkan Kecerdasan Verbal Linguistik Anak di SDIT Al-Azhar Kediri

This study explains the development of language as a means of communication between people in the world because mastery of foreign languages is an urgent demand for today's era. Bilingual programs are the ability to use two languages, not only in speaking and writing but also the ability to understand what other people communicate verbally and in writing. This research was conducted using descriptive qualitative research with the aim of describing the phenomena that exist in the research location. The data collected by researchers is through observation, interviews, documentation, data analysis, data reduction, display data, and conclusion drawing/verification. The findings of this study confirm that; the application of the bilingual program is applied when teaching and learning take place supported by bilingual activities including flashcards, English conversation book, English and Arabic camp, English and Arabic day, and reading.
PENERAPAN MEDIA PEMBELAJARAN “ULAR TANGGA” DALAM MENINGKATKAN PENGUASAAN KOSAKATA BAHASA ARAB

The application of learning media "snakes and ladders" on vocabulary mastery is an appropriate idea in learning Arabic which is very suitable for use at the elementary school level. Mastery of vocabulary in learning the basic potential for learning foreign languages. One of the learning media that can support or that can help improve the mastery of Arabic vocabulary is the snake and ladder learning media. This study aims to facilitate the learning process at Madrasah Ibtidaiyah An-Nur Turen in mastering vocabulary so that learning becomes fun and uncluttered and can achieve the desired goals. In this study, researchers used qualitative methods. With data collection techniques through observation, interviews, documentation and tests at the end. The final result in the application of snake and ladder learning media in calculating the t-test in the control group with an average of 51.00, an average difference of 7.50, and a t-count of -5.582. While the results of vocabulary mastery in the calculation of the t-test in the experimental group with an average of 70.6, an average comparison of 15.00, and a t-count of -11.225. So with this, it can be concluded that learning with snakes and ladders media is effective in learning Arabic in terms of vocabulary mastery.Keywords: learning media, snakes and ladders, Arabic vocabulary
Penggunaan Metode Speed Reading untuk Meningkatkan Kemampuan Membaca Siswa SD Islam Miftahus Shibyan Kecamatan Plosoklaten Kediri

The purpose of this study was to determine the success of improving the reading skills of Islamic Elementary School students Miftahus Shibyan using the speed reading method. This research uses descriptive qualitative research. The subjects of this study were the Principal, Educators and Education Personnel, and Students. The results showed that the use of the speed reading method in SD Islam Miftahus Shibyan was inseparable from the steps of the speed reading method and the efforts made by the teacher in teaching and learning activities. The success of using the speed reading method is seen from the student achievement. Of the 67 students studied, 75% showed success.
PELAKSANAAN PEMBERSIHAN KAMAR TAMU OLEH PRAMUGRAHA DI HOTEL NARIPAN BANDUNG

The key to make guestroom looks tidy is by implementing room cleaning of standard operational procedure each hotel. Standard operating procedure is a standard where there is a special rule, principle, or action that is set as a reference for employees in carrying out their duties consistently. In a cleaning process at the hotel, it also need some proper and complete equipment as well as some cleaning materials that are suitable for their use. By interviewing housekeeping supervisors, the researcher obtained data regarding the number of cleaning equipment used by the room attendant in cleaning one room. The lack of equipment that is still lacking is metallic pressure. As for cleaning supplies, room attendant have their needed by request it. Researcher also asked for responses from room attendant regarding the completeness of work equipment, whether electronic or not, cleaning supplies used, and from the results obtained, room attendant said all equipment was in good condition. There are still guest complaints about the cleanliness of the guest rooms, especially on the condition of the floor, the cleanliness of the bed, the cleanliness of the pillow nests, and the cleanliness of the sheets. Likewise, the cleanliness of the bathroom which includes the cleanliness of the shower cabin, the cleanliness of the toilet bowl, and the cleanliness of the floor in the bathroom, this results in guest dissatisfaction with the services provided by the hotel.
IMPROVING STUDENT LEARNING OUTCOMES BY USING THE SPIDER WEBBED MODEL IN THEMATIC LEARNING TOWARDS FOURTH GRADE STUDENTS OF SDN KALIASIN V/284 SURABAYA ACADEMIC YEAR 2021/2022

This study is to describe the Application Of The Profit Webs Model In Improving Learning Outcomes Of The Environmental Subtema Students Class IV SDN Kaliasin V/284 Surabaya Academic Year 2021/2022. The type of classroom action research used in this research is collaborative research. The action in this research is the application of the spider web model which aims to improve the learning outcomes of fourth grade students with the sub-theme of friends' environment. This research was conducted in two cycles. Cycle 1 consists of 2 meetings and Cycle 2 consists of 2 meetings. The actions of Cycle 1 and Cycle 2 are carried out according to the plan set out in the RPP. The results showed that after applying the spider web model to the friend-environment subtheme and taking action, the learning pattern could be improved effectively so as to produce student learning outcomes which were marked by the mastery of learning outcomes in each cycle. can be improved. This success is the result of applying the spider web model by teaching key concepts that keep students active and make learning fun. This means that students are more likely to actively participate in the teaching and learning process given by the teacher and discuss and ask questions in class. Learning outcomes data collected during Cycles I and II showed that students experienced an increase. The results of the first cycle test were 13 students or 52% completed and 12 students or 48% incomplete. The results of the second cycle test then showed that 22 students or 88% completed and 3 students or 12% did not. This learning improvement is considered successful with an increase in students reaching 88% of students and exceeding the success index of 75%
Virtual encoder: a two-dimension visual odometer for NDT

Odometer information is an important feature of NDT systems for inspection procedures that involve mechanical scanning. Knowledge of transducer position during the inspection allows for the localization of flaws and the fusion (stitching) of several images into more sophisticated representations of the inspected object. Commercial encoders provide NDT systems with accurate realtime displacement information that can be integrated to obtain odometry. However, this information is typically limited to a single axis. Although composite schemes with more than one encoder can be built to provide 2-D or 3-D spatial information, they are mechanically intricate and lack flexibility and ease of use. We propose a 2-D position-tracking solution that is based on image processing. A miniature camera continuously captures images of the external surface of the inspected object, which are fed to an algorithm that detects and stores 2-D displacement between each pair of consecutive images. Additionally, the orientation quaternions provided by an Inertial Measurement Unit are stored, allowing for posterior 3-D path reconstruction over objects of known geometries, such as oil pipes. Besides logging position and orientation histories, the device also provides real-time displacement information to the NDT system, where it is perceived as a set of single-axis encoders, thus termed “the virtual encoder”. We demonstrate the applicability of the device to both contact and immersion ultrasonic inspections. The results show that the concept is promising, despite being based on simple principles and relatively easy to implement. The source code is provided as additional material in https://github.com/thiagokalid/VirtualEncoder-ECNDT-2023.
Magnetic crawler for welds Visual Testing, based on 3D profilometry and 2D image processing

To ensure the satisfactory performance of a welded structure, the quality of the welds must be determined by adequate testing procedures. During Visual Testing (VT), the weld is examined through the eyes of an inspector to determine surface discontinuities. Although this is commonly considered the easiest, quickest, and least expensive type of inspection, it has some limitations: a certified inspector shall always be on site to perform the test, making it strongly dependant on his experience, knowledge and current environmental conditions. In addition, there is no possibility to record inspection data except standard pictures and comments to be added to inspection reports. Modern technology brings novel solutions for quality assurance. This article describes a powerful tool which can improve the reliability of VT that combines precise laser measurements, image processing and data cloud computing. A portable magnetic crawler has been developed using a Raspberry Pi SBC, a smart profile sensor and a 5 MPix industrial colour camera in order to gather both weld 3D point cloud and surface pictures. Laser triangulation and processing power directly integrated on board allow an easy weld profile measurement. Undercuts, reinforcement excess, spatters, hi-low are precisely detected and sized by the laser sensor while integrated 2D camera records and analyses surface features such contaminations, corrosion, and weld discoloration. The point cloud weld reconstruction is realized stitching together 2D profile data at a fixed interval that can range up to a hundredth of a millimetre with a spatial resolution up to 50um. Inspected weld is fully digitalized in the form of 3D object together with a set of numerical features, data are securely stored in a local flash memory and automatically synchronized with cloud platform for remote data visualization. Automatic weld assessment can also be applied using cloud computing and artificial intelligence (AI) algorithms together with deep learning tools. The combination of images, 3D models, measurements, and other evaluable features all together in the same digital platform definitely enriches the weld assessment making it quicker and reliable with the support of AI, it gives the possibility of remote visual inspection, it ensures a flawless workflow where visual inspection data are stored in a dedicated platform and can be accessed at any moment by stakeholders.
A Novel Approach for Low-cost Library Management System

Abstract: The library management always produces a large amount of information every day. These data have become valuable resources for data mining and machine learning. A Library Management System is a system that is used to store and maintain library entries. It is also used for storing the records of the books available or returning the books. It helps to keep a record of the new books with the date of submission. It reduces the work of librarians and also saves time. It is also user-friendly for the librarian to operate. It is also useful for students and teachers to maintain the records of the book.
PREVENTIVE DETECTION SYSTEM PADA LAPORAN FRAUD MENGGUNAKAN MODEL TIMESERIES PADA KANTOR BEA CUKAI

State revenue from the excise sector has increased every year because cigarette excise is the biggest contributor to state revenue. Fraud or cheating occurs because of motivation and encouragement from various parties. The techniques of fraud are varied, ranging from outsmarting principles to committing illegal acts were then led to the bankruptcy of the company. According to data from the Directorate General of Customs and Excise, which has its head office in Jalan Jenderal A Yani Rawamangun, East Jakarta, fraud was committed by tobacco senders who did not have excise stamps. The problem in this study is how is the preventive detection system on fraud reports at the customs office. The research objective is to obtain preventive detection measures for fraud reports. The results of time series modeling have a score of 1,006 for the training data and a score of 1 for the data testing showing that the prediction results have a high degree of accuracy.
APLIKASI CHATBOT SEBAGAI LAYANAN LIVE CHAT UNTUK PENERIMAAN MAHASISWA BARU MENGGUNAKAN METODE WORD STEMMING DENGAN REGULAR EXPRESSION PATTERN MATCHING

Artificial intelligence is a technology trend that raises rapidly. Many applications build with artificial intelligence, for example, a chatbot that can answer chat messages automatically so that chat services can operate 24 hours a day. Currently, the live chat service for new student admissions at LP3I is provided by operators who have working hours so they cannot operate 24 hours a day. The system development method was applied using the prototyping method with data collection techniques through interviews and observations of the running system. The results of data collection obtained the application system requirements desired by LP3I. The design of this chatbot application using a Question and Answering System-based Natural Language Processing (NLP) approach, the chatbot can learn to understand the context of sentences based on the existing knowledge base and provide answers in natural language by applying basic text processing algorithms such as word stemming, cosine similarity calculations to measure sentence similarity, and regular expression matching algorithms. Application testing carries out using the black box testing method. This chatbot application is web-based as the primary user interface, and Android and web-based applications as the admin interface
PEMANFAATAN ALGORITMA NEURAL NETWORK UNTUK PREDICTIVE ANALYTIC ANGKA BUTA HURUF DI INDONESIA

The government of Indonesia has always been aware of the necessary role of education in the development and progress of the nation, so it included it in Article 31 of the 1945 Constitution. Based on data from the Central Statistics Agency, the population aged over ten years who were illiterate in 2017 amounted 4.08% of the total population aged over ten years. Predictive analytics is a method of analysis used to assess risk, and future business trends. The research is to find strategic points that can be utilized and used as references in implementing efforts to reduce illiteracy in Indonesia. The data for the research using secondary data from bps.go.id, namely data on the illiteracy rate for the 2011 – 2019 period. The predictions were made using the Artificial Neural Network Algorithm to produce an output accuracy of 69%.
RANCANG BANGUN WEBSITE MANDAYS PROJECT UNTUK MENENTUKAN PENJADWALAN SYSTEM INTEGRATION TESTING DAN USER ACCEPTANCE TESTING

The project control process certainly needs several objectives to reach. For a banking agency, convenience and maximum results are a priority that must be estimated. The process of determining the schedule for carrying out system integration testing (SIT) or User Acceptance Testing (UAT) is currently only based on arguments, verbal discussions, and estimates so the process of making project documentation or project implementation is hampered due to unclear determination or timing of testing and also slow to get agreement on when system integration testing and user acceptance testing processes should be completed. The method used in this study is a qualitative method with data collection methods using field observations, interviews, and literature study. The Software Engineering Method uses the SDLC (Waterfall) model using the PHP programming language and MYSQL database. The results are in the form of a system prototype to determine SIT and UAT scheduling so that the Quality Assurance (QA) must know how many days must be prepared based on the man-days score of the project. The implementation of this system can provide convenience for project users and IT implementers in determining the SIT and UAT scheduling processes
PEMANFAATAN MACHINE LEARNING UNTUK PRICE OPTIMATION DENGAN MENGGUNAKAN MODEL ARTIFICIAL NEURAL NETWORK

A company's marketing strategy is not just product development, broad distribution channels, and promotions, but also pricing that is attractive and affordable to consumers. PT Asia Garment, which is engaged in the garment accessories industry, determines the price by looking at the quality of the product, the efficient level of processing time, and the difficulty level of the process. Generally, errors in pricing cause production costs to not match the selling price, the selling prices are rarely reviewed even though the market is constantly changing, and selling prices are determined separately. The research purpose is to utilize machine learning to determine the optimum selling price using the Artificial Neural Network Model. As a result, the predictions can produce an output accuracy of 87%, which is satisfying accuracy.
PERANCANGAN JARINGAN VPN MENGGUNAKAN MIKROTIK DENGAN METODE L2TP/IPSEC

Currently, computer networks are essential in supporting communication in the company. There are many advantages of using computer networks, for example, communication between clients becomes easier and faster, remote servers through computer networks and client-server applications within the company. Computer network security is very important for the efficiency and effectiveness of computer network performance. Reliable infrastructure in a computer network is very influential for its performance. PT. Megacom company in the field of computer spare part distributor. The problem faced is the absence of good and secure communication technology between the head office, branch offices, and distributors. The purpose of this study is to design a Wide Area Network network between the head office and branch offices of PT. Megacom. This study uses qualitative methods with observation and interview data collection techniques. The results of the study show that in the traceroute experiment during the network test from the head office to the branch, the packet path goes well through the tunnel with fast and secure data access through a VPN network with the designed L2TP/IPSec method.
DETEKSI PENGENDARA MOTOR TANPA MENGGUNAKAN HELM DENGAN ALGORITMA DEEP LEARNING YOLO

A helmet is a protective device that is worn on the head and made of metal or other hard materials. Indonesia is a country that requires motorcyclists to wear helmets. Lack of public awareness in driving using a helmet can endanger themselves and others. For this reason, an information technology system is necessary to monitor traffic activities 24 hours a day. This study designed an application to detect the use of helmets and classify motorists using helmets or not. The method used in detecting objects in the head area uses the Convolutional Neural Network (CNN) method with the You Look Only Once (YOLO) Algorithm. This system is able to detect violations committed by motorcycle riders. The accuracy of detecting helmet use with the training dataset as a test method of model evaluation produces predictions with an average accuracy rate of 89.04%, and the avg_loss training yields a rate of 1.2%.