Reviewerly/exHarmony huggingface dataset:
Measuring university performance in Tanzania: A comparative analysis of market orientation scales

This study makes a comparison between a well- established tool for measuring market orientation (MKTOR) with a new tool especially designed for measuring university performance, i.e., University MARKOR. Data were collected from 212 private and public universities across Tanzania and were an analyzed using AMOS 22. A response rate of 58.2% was achieved and considered adequate. The findings show that both scales demonstrated good model fit. Consistent with previous studies University MARKOR has demonstrated superior psychometric properties than MKTOR.Strong leadership is needed at universities in order to identify new sources of funding and reduce their dependence on traditional sources such as school fees, subventions and grants. A major contribution of this study is that it is the first ever study in Africa which is pan territorial involving both private and public universities that has tested the robustness of market orientation scales.
Comparison of Autonomic Nervous System Activities when Viewing a Roller Coaster Video in 2D and 3D-Virtual Reality

Researchers hypothesized that entertainment via three-dimensional virtual reality (3D-VR) provides greater enjoyment than the same media experienced in a two-dimensional (2D) environment. This result can improve the quality of life of patients, particularly those who are hospitalized for long periods. To test this hypothesis, the instantaneous heart rates (IHRs) of eight subjects were monitored by electrocardiography using a Holter ECG as a measure of the autonomic nervous system activity levels when viewing a two-minute roller coaster video in 2D and 3D-VR (using an Oculus Rift). Each subject viewed the video in both 2D and 3D-VR in varying order with at least a 10 min interval between them; after viewing the video, they responded to a questionnaire that included questions about the subject’s preference for 2D versus 3D-VR. In addition, a subjective estimation of enjoyment was conducted according to the visual analog scale (VAS). Results show that the 3D-VR environment, which is closer to a real environment, elicited more excitement and enjoyment, as evidenced by the difference in the sympathetic nervous system activity (P &lt; 0.01) when viewing the 2D and 3D-VT videos. The subjects particularly enjoyed the 3D-VR experience when it was observed before the 2D video, as demonstrated by larger IHR accelerations. However, the difference depended on whether the subjects liked roller coasters or not. In addition, two subjects experienced motion sickness, which is associated with visual fatigue due to parallax. One subject reported simultaneously feeling enjoyment and motion sickness; therefore, categorizing the cause of this subject’s sympathetic nervous system activity was difficult. Additionally, for some of the subjects, the questionnaire responses (including the VAS estimation) were inconsistent with the sympathetic nervous system activity. Therefore, additional bio-signals (e.g., brain activity or salivary amylase activity) should be analyzed in parallel, to further evaluate the subject’s physical response. In future studies, a video of a lighter activity that is more broadly liked by people, such as hiking or a riding a Ferris wheel with a moderate altitude, should be used.
Pemanfaatan Library Zxing Sebagai Pembaca Barcode pada Aplikasi Sistem Inventory Toko Pakaian

Rapidly developing applications have provided enermous benefits for small and medium enterprises activities such as clothing stores. Therefore we need a good inventory system in a clothing store. In this study, the author will design an android-based inventory application system that will be implemented in a clothing store. This applications was built by utilizing a mobile device as a media processing clothing inventory system. This application will utilize the android device’s camera as a barcode scanner or barcode reader. So that, all sales transactions will be done through a barcode scanner. Where the barcode image will be generated automatically based on the id of the clothes. With this applications, it will be easier for the clothing shop owner to process their clothing inventory system because all the processes are carried out in one android-based smartphone device. In implementation, this application will utilize the Zxing library as a function of distrbuting barcodes on smartphone devices.&#x0D;
DIGITAL PROJECT TEAM CULTURE WILL INFLUENCE THE REQUIREMENTS ON PROJECT MANAGEMENT METHODS

In recent years, the field of digitalisation increased in organisations challenging all business processes.Achieving globalisation meant rapid changes using new technologies, evolving businesses and a highly competitive environment.Investing in projects of all kinds, this situation challenged the profession due to the high transformation and adaptation of requirements.The industry released more and more digital, virtual and technological developments and projects been launched constantly.To keep up to this speed all business managers had to use more and more digital tools which already had an impact on projects and project management.The pandemic, since 2020 and the related lockdowns, changed business behaviours on a worldwide basis.Projects had to adapt immediately to work only remotely as like all other businesses and additionally the areas of education had to change to distance learning.Inevitable after these 2 years there is a focus on the challenges and benefits on this virtual project work and it has to be defined how it will work with existing project management methods using the latest digital tools where now everybody is familiar with.The questions are rising; 'Which additional team skills have been gained during the pandemic?' 'What are the key factors to lead / run projects successfully in 2025+?' and 'How do Project Management Methods have to be adjusted?'The paper will not provide a new project management method as such but will outline a new combined approach resulting in mixed methods and the use of digital tools.This was experienced in higher education during the pandemic and reflected in the impact on project management.Which will lead to a digital transformation in communication and documentation for future projects.Questionnaires have been executed as qualitative research method as well as literature research conducted.
Re-Emergence of the Aim and Objectives of the Vedic System of Education in Ancient India through the ‗Four Pillars of Learning‘ In Delors Commission Report, 1996

The International Commission on Education for the Twenty-first Century chaired by Jacques Delors in 1996 recommended some valuable and relevant suggestions for the improvement of learning as well as teaching processes and systems. The Commission provided immensely important guidance regarding the principles and direction of the educational system. The 'Four Pillars of Learning' are among those principles which narrate basically how learning should lead the all-round development of a learner systematically through gaining knowledge, applying that knowledge in practical life, living in harmony with others and, above all, building a perfect humane character and personality. Indian tradition since the ancient ages keeps believing that education or learning must build the character and personality of a human being noble if it claims to be called a 'true education'. The learning which is not capable of raising the level of humanity and spirituality within a person/learner, though it may raise the levels of intelligence and skills, is not considered as 'Vidya' or genuine education in India. The noble aim and objectives of the Vedic system of education in ancient India, which aim at 'Self realization', emphasize upon the culture of 'Para Vidya' or spiritual knowledge but not at all ignoring the culture of 'Apara Vidya' or material knowledge, and scientifically establish the idea of 'oneness' (Non-duality) and 'togetherness' ('Unity in diversity'), set this tune in this pious land more than three thousand years ago. In this connection, the underlying essence of the Delors Commission Report's 'four pillars of learning' seems to be very much harmonious, may not be throughout but certainly up to a considerable range, with the underlying philosophy of the aim and objectives of the Vedic system of education in ancient India. The present study attempts to unfurl the reflections of the age-old Vedic educational system's aim and objectives in the Delors Commission Report's 'four pillars of learning' through a purely qualitative research approach.
A Local Rotation Transformation Model for Vehicle Re-Identification

The vehicle re-identification (V-ReID) task is critical in urban surveillance and can be used for a variety of purposes. We propose a novel augmentation method to improve the V-ReID performance. Our deep learning framework mainly consists of a local rotation transformation and a target selection module. In particular, we begin by using a random selection method to locate a local region of interest in an image sample. Then, a parameter generator network is in charge of generating parameters for further image rotation transformation. Finally, a target selection module is used to retrieve the augmented image sample and update the parameter generator network. Our method is effective on VeRi-776 and VehicleID datasets, it shows that we achieve considerable competitive results with the current state-of-the-art.
The Design and Implementation of Internet-Based Wireless Lan (WLAN) at Rawa Makmur Permai Urban Village Office

This study aims to build an internet-based Wireless LAN (WLAN) at the Rawa Makmur Permai Urban Village Office, implement bandwidth and firewall management as a security system on the WLAN network, and observe the use of internet-based WLAN networks at the Rawa Makmur Permai Urban Village Office.This study uses the Development Life Cyle (NDLC) method which is a method that can be used in the network development process that allows network monitoring to determine network statistics and performance. The results of the performance analysis will later be taken into consideration in the design of network designs, both physical network designs or logical networks. The results of this study indicate that a WLAN network using a MikroTik router and implementing bandwidth management, firewalls and captive portals can optimize network usage, because by implementing bandwidth management it can distribute bandwidth evenly to clients according to their network access needs, the firewall itself can be used as a site access filtering system which in this study the author can apply to block the youtube.com site and make it a captive portal access.
Smart Eye: An Application for In Situ Accessibility to “Invisible” Heritage Sites

The Smart Eye Application is an augmented reality app for mobile devices that enables the in-situ 3D visualization of underground and inaccessible to the public archaeological sites and monuments. Accessibility to excavated archaeological sites and monuments is often hindered for reasons of preservation or urban development. Portable finds are transferred and, in some cases, exhibited in local museums, but the non-portable remains of ancient structures become eventually effaced from the landscape and the collective memory of local communities. The Smart Eye app provides an “x-ray” type view of excavation sites that have been backfilled and are now invisible. While common practice in heritage sites’ digital dissemination to the general public uses 2D or 3D reconstructions in augmented or virtual reality environments, the Smart Eye app presents archaeological remains in the shape and form they were found in by archaeologists supplemented with augmented reality markers that provide simplified textual and visual information aimed toward a non-scholarly public. The aim is to re-instate these heritage sites into the interactive relationship that people have with their landscape and their history. The present paper discusses the chaîne-opératoire of developing the app, from the acquisition of primary documentation data of the excavation sites to the methodology used for the production of the 3D models of the archaeological sites and the development of the app itself and the technical equipment used. Finally, we discuss the results of the preliminary evaluation of the application and future steps to improve it before final testing by the local communities where the archaeological sites are located.
Predictive Analytics of Selected Datasets using DTREG Data Mining Tool

Predictive analytics is making a significant wave in healthcare Industry. Predictive analytics is an analytics offshoot which helps to make future predictions, resulting in more informed decisions. Data is central to accurate predictions. Several concepts like Data Mining, AI (Artificial Intelligence), Machine Learning and statistics need to work in tandem to ensure precise predictions. The main aim of the research work was to analyse the datasets of selected diseases using the DTREG data mining tool. Two datasets namely Alzheimer’s and Breast Cancer were taken from a public repository and analysed. Various algorithms namely single tree, decision tree, tree boost, support vector machine and neural network were studied. The results obtained were interpreted to understand which algorithm works best in each case. Also, the important predictors in each study were recorded. Interpretation of Alzheimer’s and breast cancer data using DTREG revealed neural network as the best algorithm. The significant predictors for Alzheimer’s were estimated as total intracranial blood volume, clinical dementia rating and age, and for breast cancer were uniformity of cell size, cell shape, benign and malignant and clump thickness. Data mining, artificial Intelligence and machine learning can thus be of very good help in determining the line of treatment to be followed by extracting knowledge from such suitable databases. Keyword : Terms—Algorithms, Alzheimer’s, Breast Cancer, DTREG
SISTEM PENENTUAN KEPUTUSAN KELAYAKAN PENERIMA KREDIT MENGGUNAKAN METODE ROC - SAW

The Bali Mandiri Cooperative is a cooperative that operates in the savings and loan sector. Data processing of savings and loan activities submitted in credit applications is still done manually so that the credit department must make the right decisions, especially if there are doubts in determining decisions for prospective borrowers, where the doubts are because the criteria for prospective borrowers are almost the same, this is having an impact on the company if the wrong decision occurs in the event of bad credit. The decision support system using Rank Order Centroid (ROC) calculations and the Simple Additive Weighting (SAW) method compares manual and system calculations that show the same results. This system includes data management which provides for managing data criteria, attribute value data, and submitting data (credit applicant data, data selection period, data submission, and decision support system process). This data will produce a credit applicant report and a credit applicant selection report.
Strategies to "Bitcoin-Gold" Trading Decoupling the Qualitative Decision and the Quantitative Investment

As investment fever rises, investment strategy is a critical choice for investors.In this paper, based on the price data of gold and bitcoin from 9/11/2016 to 9/10/2021, the corresponding mathematical models are established by the LSTM, evaluation model, and single-objective optimization model in an attempt to obtain the optimal investment strategy.Firstly, the price is predicted by the LSTM model after data cleaning.The evaluation system is constructed from three perspectives: market trading intention, price stability and market environment trend.Based on the scores and thresholds of the evaluation system, the trading directions (buy, sell, hold) are obtained qualitatively.Then, based on the corrected predicted price, a single-objective optimization is established for maximizing total assets, obtaining the final investment strategy, where an initial $1,000 asset is able to reach a final total asset of $134,226 after five years.Secondly, we establish the evaluation system of investment strategies and establish three evaluation indexes of Sharpe Value, Max Drawdown, and Interest Rate in terms of both return and risk.We construct four new investment strategies with different types of investment product and model selection.Comparing the five investment strategies, we can find that our investment strategy has the highest Interest Rate, higher Sharpe Value, and smaller Max Drawdown compared with other investment strategies.Thirdly, we test the impact of transaction costs on the model and learn that the model is more sensitive to the change of bitcoin transaction costs and not sensitive to the change of gold transaction cost.
EFEKTIVITAS MEDIA ELEARNING MADRASAH TERHADAP MINAT BELAJAR SISWA PADA PEMBELAJARAN SEJARAH

AbstractThis study aims to determine the effectiveness of madrasah e-learning media on students' interest in learning history in class XI IPS 1 MAN 02 Pontianak. The method used is descriptive quantitative. The results of the study show that 1). effectiveness of madrasah e-learning media in history learning in class XI IPS 1 MAN 02 Pontianak, the results of respondents' answers with the majority of the percentage of 50% in the good category, 2). students' interest in learning using madrasah e-learning media in history learning in class XI IPS 1 MAN 02 Pontianak, the results of respondents' answers with the majority of the percentage of 85% in the sufficient category. 3). Regarding the effectiveness of madrasa e-learning media on students' interest in learning history in class XI IPS 1 MAN 02 Pontianak, it can be concluded of the regression test that the effect of the effectiveness of variable X on Y is 4.2%Keywords: Effectiveness, Madrasah E-learning, History Learning.
Examining the Use of Discord Applications in Improving Science Learning Outcomes of Grade 7 Students

During a pandemic like this, they were growing new regulations for conducting online learning, causing further problems in decreasing student learning outcomes in changing learning systems. This study aims to determine the factors that influence student learning interest in online learning with the Discord application, how the use of the Discord application is used in science learning and the effect of the Discord application on student learning outcomes in science learning. This research is a quantitative quasi-experimental study with a pretest-posttest control group design. The number of samples was 64 students from classes 7A and 7B, SMP Negeri 1 Depok, Depok District, Cirebon Regency. Data were obtained through pretest, posttest, questionnaire, interview, and documentation study. The results showed that the attractiveness of the Discord application as an online learning medium could influence students' interest in learning. The connectivity between teachers and students was more effective and efficient in online learning using the Discord application. The opportunity for students to play an active role during the learning process is incredible. The encouragement of motivation through the attitude of the teacher in learning. The influence of online learning media in the form of the Discord application on student learning outcomes in science subjects.
EVALUATION OF THE ONLINE PASSPORT QUEUE REGISTRATION APPLICATION SYSTEM REGARDING PASSPORT APPLICANT DATA ENTRY MATTERS

This research discusses about upgrading Aplikasi Pendaftaran Antrian Paspor Online (APAPO) and take an example at South Jakarta Immigration Office. The problems discussed are regarding APAPO who has not yet been optimized, it caused APAPO is not integrated on the system of SPRI application in every immigration office. Ought to the presence of APAPO it can be helpful for immigration officer to providing service. The purposes of this research are to know the workflow of system in the APAPO currently and find the best way to efficiencies of immigration officer in doing the service for the applicant passport in the immigration office. The research is classified qualitative by analizing problems using PDCA theory which includes, Plan, Do, Check, and Action. The results of this research are proven that APAPO has still not been integrated with the system of SPRI application in every immigration office. Therefore, to efficiency immigration officer in order to give a service author provide a recommendation in the form of data flow diagram for upgrading moreover to integration between APAPO and SPRI application with webservice method.
PENINGKATAN HASIL BELAJAR IPA MATERI DAUR HIDUP HEWAN DENGAN MENGGUNAKAN MODEL STUDENT TEAM ACHIEVEMENT DIVISION (STAD) PADA SISWA KELAS IV SDN NO. 200107 PADANGSIDIMPUAN

This study aims to solve the research problem, namely whether there is an increase in Science Learning Outcomes of Animal Life Cycle Materials by Using the Student Team Achievement Division (STAD) Model for Class IV Students at SDN No. 20107 Padangsidimpuan, North Padangsidimpuan District, Padangsidimpuan City Regency. The research design used the classroom action research method which contained two cycles. The subjects of this study were students in class IV SDN No. 200107 Padangsidimpuan. Class IV students totaled 20 people. Based on the results of the analysis of the average science value in the Animal Life Cycle material before using the Student Team Achievement Division (STAD) learning model, an average of 67.75 was in the "Enough" category. After using the Student Team Achievement Division (STAD) learning model, the average in the first cycle was 72.5 in the "High" category, and in the second cycle the average score was 83 in the "Very High" category. From the comparison of the learning outcomes of fourth graders at SD No. 20107 Padangsidimpuan, North Padangsidimpuan District, Padangsidimpuan City Regency, in the first cycle it was 40% and in the second cycle it was 95%. The results showed that the application of the Student Team Achievement Division (STAD) learning model could improve science learning outcomes for Animal Life Cycle material.
LANGUAGE FUNCTION AND CHOICE IN CLASSROOM LANGUAGE USED BY EFL TEACHER IN SMP NEGERI 2 GIANYAR

This study aimed to describe an analysis of language function and choice toward classroom language used by the EFL teacher in SMP Negeri 2 Gianyar. This study is descriptive qualitative research. The subject of this study is one EFL teacher, and the object of this study is classroom language implemented by one of the English teachers in SMP Negeri 2 Gianyar during distance learning. This study used one instrument with a checklist table and Chamot and O’Malley’s theory about academic language function to answer the research question. The study’s conclusion was used as guidance of the prospective teacher and EFL teacher to improve them in using many kinds of language functions during the learning process. The result showed that the EFL teacher in SMP Negeri 2 Gianyar often used five language functions: seeking information, explaining or informing, persuading, solving the problem, and greeting.
Optimasi Naive Bayes dan Cosine Similarity Menggunakan Particle Swarm Optimization Pada Klasifikasi Hoax Berbahasa Indonesia

The widespread circulation of hoax news in the information technology era is increasingly troubling, therefore in this era an algorithm to classify hoax news is necessary, in this study researchers focused on optimizing the accuracy of hoax news classification in text documents. The algorithm that will be used is Naive Bayes and cosine Similarity which previously has been applied with particle swarm optimization algorithm. In this study, it was concluded that after feature selection using PSO in the Naive Bayes algorithm the accuracy obtained increased from 0.91 to 0.93 while in the cosine similarity algorithm the accuracy increased from 0.62 to 0.73 after feature selection using PSO