Reviewerly/exHarmony huggingface dataset:
Analyzing the Students’ Needs of an Academic Reading Class at a Private University in Lubuklinggau

This present paper studied the students’ demands of a reading class at a private institution in Lubuklinggau, South Sumatera. The needs are separated into two elements, namely students’ needs and wants. This research was a descriptive study employing a qualitative method with the data collection strategy using the mix of the closed-ended and open-ended questionnaires. The respondents in this study were 27 students from 2021 at English Education Study Program of Universitas PGRI Silampari who had taken academic reading subject. They were given 25 closed-ended questions and three open-ended questions. The results showed that 88.14% of the students agreed that the topic variation in an academic reading class was importance, the Importance of Tasks in Academic Reading was categorized as “important” (81%), Topic for academic was categorized as “important” (63.5%). There were 86.19% students expected to have the improvement in the term of topics in Academic Reading Materials. There were 74% students wanted the improvement in the aspect of tasks. Then, 56% of 27 students wanted the improvement in term of skills. In conclusion, the students agreed that the topic should be realistic, relevant, and diverse. Moreover, in consideration of the needs of the pupils, the topic should be diversified, engaging, and current.&#x0D; Key word: Academic Reading, Needs Analysis, University Students
IMPLEMENTASI GRIDSEARCHCV PADA SUPPORT VECTOR REGRESSION (SVR) UNTUK PERAMALAN HARGA SAHAM

Stock is a sign of the capital participation of a person or authority in a company (PT). PT Anabatic Technologies Tbk (ATIC) is one of the service providers and IT consultants that is included in the technology sector, which is a new sector in the IDX-IC classification. ATIC stock trading was temporarily suspended due to a significant increase in cumulative prices. This indicates that stock prices tend to be volatile and non-linear. The Support Vector Regression (SVR) method can be used to predict stock prices. SVR is able to solve non-linear data problems by using kernel functions so it can overcome overfitting problems and will give good performance. The SVR problem is difficult to determine the optimal hyperparameters, so this research uses grid search cross validation (GridSearchCV). In this research, ATIC’s daily closing price data was used with 1007 training data and 252 testing data. The results show that the best model is SVR with a linear kernel and the hyperparameters used are Cost and epsilon . The linear kernel SVR model produces a MSE of 0,001237173; SMAPE of 0,1167301; and = 0,9206643
EFFECTIVE CROSS-PLATFORM MOBILE APP DEVELOPMENT USING PROGRESSIVE WEB APPS, DEEP LEARNING AND NATURAL LANGUAGE PROCESSING

The proposed system uses Natural Language Processing (NLP) and Deep Learning (DL) techniques to extract voice data and translate it to text during medical consultations. Iterative model was adopted in the design of the system and the user interfaces was implemented by using NLP techniques, especially speech recognition and natural language understanding. Deep learning algorithm shows a great ability to build clinical decision support systems by extracting various information for medical diagnosis and produce result is few seconds. The result form the system testing shows that the installation size of the Progressive Web App (104 KB) is 42 times smaller than the native Android app (4.37 MB). In terms of render-speeds, the PWA rendered different results. The native app will launch the Android activity after 1408 ms after app icon tap (launch), while the progressive web app launches the application in 230 ms. The advent of cross-platform application development frame-works have made it much easier to create applications for multiple platforms for mobile devices. In spite of reduced learning effort, usually lower costs, and a faster time-to-market cross-platform methods always do not prevail in most cases. Although there are normal exclusions – like graphic-intensive games, which should to be programmed with the native software development kits (SDKS), choice between native apps, cross-platform generated ones, and Web apps can remain delicate. Whereas many diverse efforts have been made with respect to how cross-platform development frameworks ought to work, no technology is deemed unequivocally superior than the others. But a cross-platform mobile app has got an edge over native app development. It also recommends that developers adopt this technology of mobile app development due to its huge gains.
On the Coverage Property of a Derivation Compression Algorithm

We further elaborate, with a short example, on the set of compression rules and the derivation compression algorithm presented in [Haeusler et al. 2023]. We also argue a proof, done with the Lean theorem prover, that this algorithm obtains a dag-like compressed derivation from any tree-like Natural Deduction derivation in Minimal Purely Implicational Logic.
Technology Enabled Intelligent Solution in Human Resource Management for Smart Cities

The foundation of smart cities is based on an autonomous and decentralized architecture, which consists of sophisticated information and communication technologies (ICT) in convergence with technology enabled solution to improve the business management process in industry 4.0. This study tends to examine the adoption of blockchain technologies (DLT) in the human resource management (HRM) of organizations in building solutions for IOT (Internet of things) smart cities. The current study explores a unique set of factors selected from the extensive literature and acquired information from fifteen experts having significant experience of blockchain technology in their respective organizations. An integrated fuzzy analytic hierarchy process (F-AHP) is applied to prioritize the identified success factors. Further, the modified decision-making trial and evaluation laboratory (M-DEMATEL) method is utilized to represent the complicated causal relationships among different sub-factors on blockchain-HRM integration. The findings show the application of blockchain will foster a paradigm change in IOT based smart communities, where recruiters verify the candidate credentials including education, skills, and work experience. The payroll managers would determine the more effective way to make work less complex and moderate, enabling timelier payments to global employees. Furthermore, DLT would enhance the employee learning records and update the real-time information in HRM database technologies. Thus, providing a detailed guide for future Industry 4.0 developers about how blockchain can improve the next generation of industrial applications. The developed method can help the decision-makers and provide a foundational view to examine the benefits of implementing blockchain technology in the HRM setting of an organization before they choose to integrate in order to enhance Industry 4.0 technologies. This research will be a novel attempt to synthesize the key factors and subfactors about technology enabled solution within the intelligent HRM process, shedding light to rethink HRM strategies to incorporate blockchain technology in organizations.
‘Talk Me : Aplikasi Pendukung Media Komunikasi Nonverbal Penyandang Tunarungu Dalam Meningkatkan Kemampuan Berinteraksi Sosial Di Kota Ternate

Communication which is an important requirement in human life is not limited to certain groups. This need is needed by every human being from the time he is born until the end of time. Deaf people prefer to form groups and gather together to get comfort when meeting and chatting with each other. The research was conducted by applying a qualitative research method based on a descriptive approach. Data collection techniques in the form of interviews and observations to obtain relative and objective information. Interviews were conducted with four informants, namely: the head of the Ternate City Deaf Association, two Teachers who implement the SIBI language in the field of Education (Ternate City Special School) and one member of the General Public. The data analysis techniques used are literature study, data collection, drawing conclusions from FGD data), needs analysis, system design, implementation, and testing. Based on the results of the research, the main problem that occurs is the lack of interest and digital-based communication tools which are quite a big problem in helping the listening community in carrying out social interactions. And the results of making an application by applying the CNN analysis method to the Talk me application obtained quite good results and were close to the maximum results, the application sensitivity feasibility trials obtained quite good results and were close to the maximum value, the average score for 50 trials was 0, 913793, where the data will be said to be very good if the trial value is close to 1, and for the loss value (not sensitive) the average is 0.04265
THE ROLE OF DIGITAL FORENSICS IN THE PRELIMINARY INVESTIGATION

In this era, technological developments have a significant influence in business. However, many taxpayers abuse the use of technology to commit fraud. Therefore, there needs to be a system that can filter and detect data of taxpayers who commit fraud. This research is conducted to analyze digital forensics' role in dealing with fraud and to determine the critical success factors that support the digital forensics in detecting fraud. This study uses qualitative reasearch where the author wanted to find out the role of Digital Forensics in the Preliminary Evidence Examination by interviewing the digital forensic officer in one of Tax Offices in Indonesia. The result proves that the role of digital forensics in the preliminary Investigation is crucial. The management and development of digital data can be carried out effectively with valid evidence through Digital Forensic activities (UU ITE). The skill of Digital Forensics officer in using programs to process data is essential in getting evidence. Taxpayer participation is also important in gathering evidence. The amount of digital evidence collected will be used through analysis and development by using chain of custody method, where this method can ensure the integrity of the data processed to convince the court in making decisions.&#x0D; Keywords: Digital Forensic, Preliminary Investigation, Tax Audit, Tax Fraud
TOKO ONLINE PENJUALAN SUVENIR GAMPONG NUSA

Gampong Nusa is a tourist village located in Lhoknga District, Aceh Besar. This village has a creative business in the form of selling souvenirs such as bags, tissue boxes, knitting wallets and others. These products are made from waste that is managed directly by Gampong Nusa. In offering products that are sold, Gampong Nusa still uses the Offline method, so that in this way Gampong Nusa cannot cover many consumers. Due to this factor, an online shop is the solution. With the existence of an online store, it is expected to expand the sales network of Gampong Nusa and of course it can make it easier for consumers to obtain information about product specifications offered by Gampong Nusa without the need to come directly to the store. In this Online Store there are several main features, in addition to the product catalog information interface, there are also other features such as online payments using Payment Gateway services and being able to calculate shipping costs
Estimated Value of Software Developer Productivity at the Software Implementation Stage Using Function Points

Most Software Development Processes (SDP) project failures occur due to errors in estimating cost, time, and effort during the planning phase. This happened because the planning carried out still relied on the intuition and experience of the programmer. One approach that can be taken to plan the right SDP is to know the value of SDP productivity. The focus of this research is to determine the value of productivity based on the differences in programmers’ skills. The case study is conducted to determine the productivity value of the web-based software that has been built, namely McDelivery. The productivity value is calculated based on the ratio of software size to the effort. Software size is obtained through the calculation of the Application Function Point Count (APFC). Meanwhile, the effort is obtained through expert judgment to determine the time needed by the development team at the junior, middle, and senior software developers to implement software functionality in person-day to the form of program code. The result shows that the productivity value of SDP is directly proportional to the level of ability of the programmers. These productivity values ​​can be used as a solution option to calculate the estimated time, cost, and even the availability of programmers that are adjusted to the conditions faced in planning software development
The Impact of the Organization’s Internal Factors on the Effectiveness of Internal Auditing: A Field Study at Joint-Stock Companies Operating in the Republic of Yemen

The study aimed to identify the impact of organization’s internal factors on the effectiveness of internal auditing of joint-stock companies operating in the Republic of Yemen. To achieve this objective, (252) questionnaires were distribution to a purposive sample (24) companies, represented by the Administration of Internal Audit, Risk Management and Audit Committees, but only (115) were valid for analysis. The study findings revealed a positive impact of the organization’s internal factors on the effectiveness of internal auditing, and a high statistically significant positive impact of the factor of audit committees’ responsibility on achieving the effectiveness of internal auditing, followed by the factor of the internal audit independence. The findings also revealed that there is no impact of the factor of Internal auditing volume and senior management support on internal auditing. Moreover, based on the respondents' point of view, the findings revealed that the most dimensions related to the effectiveness of internal audit are the objectives related to internal control, objectives related to governance, and objectives related to risks. In light of these findings, the study recommends that the senior management of joint-stock companies should pay more attention to internal auditing in order to achieve its effectiveness.
Comparative Analysis of Three Data Mining Tools in the Allocation of Senior Secondary Students into Departments for Career Path

Abstract: Choosing a career path in life begins with studying the right subject combination at the secondary school level. The Nigerian educational system of 6-3-3-4 which makes a student to spend 6 years in pry education, 3 years in junior secondary school, 3 years in senior secondary school and 4 years in the university makes it mandatory for such a student to choose a department of study at the point of entry into the senior secondary school (SSS). It is at this point that a decision is made consciously or unconsciously by the students about life career as the choice of department determines the choice of course of study at the university level later. Students and their parents/guardians often take this decision without any scientific guide which in most cases leads to a wrong choice of career path. In this study, three data mining tools, WEKA, RapidMiner and Orange were employed with three algorithms each to determine the most appropriate tool with the best result in the allocation of senior secondary school (SSS) students to various departments of study. The best algorithm methodology that classified the dataset in WEKA was Random Forest with an accuracy of 100% predicting 308 students correctly. In RapidMiner the best algorithm methodology was Naïve Bayes with an accuracy of 82.9% correctly predicting 73 students. Thereafter, Orange gave the best algorithm methodology to be Random Forest at 98.7333% predicting 304 students accurately. Our study shows that the optimum algorithm suited for the application software implementation to allocate SS1 Students into Department was Random Forest, having highest rates in the Accuracy. Though Orange has additional feature of being able to visualize the output of all the three results in one interface at a glance, and also shows outcome visualizations in various plots and graphs, WEKA’s highest predictive measure of 100% places it above all and makes it the tool of choice with Random Forest being the best algorithm.
Perbandingan Algoritma C4.5 Dan Naïve Bayes Untuk Mengukur Tingkat Kepuasan Mahasiswa Dalam Penggunaan Edlink

The Faculty of Computer Science, Lancang Kuning University, as a private university in the city of Pekanbaru, uses the Sevima Edlink platform as a media for academic information systems and online learning. According to some students, there are still some obstacles encountered in understanding, using and functioning this edlink application. The purpose of this study was to measure the level of satisfaction of students of the Faculty of Computer Science in using Edlink using the C4.5 and Naïve Bayes algorithms. To measure the level of accuracy of the C4.5 and Naïve Bayes algorithms in order to measure the level of student satisfaction, the indicators used are the Servqual testing model, namely Tangible, Reability, Responsiveness, Assurance, and Empathy. Based on the level of accuracy of the two methods. In the dataset used there were 91 student respondents who had filled out the questionnaire. From the questionnaire data, it was then processed using both methods and 9 comparisons of the different Training Data and Testing Data were carried out. In general, students are satisfied and understand the use of the edlink application. This satisfaction was tested using the C4.5 Decision Tree Algorithm and the Naïve Bayes Classifier. Based on the comparison that has been carried out using the C4.5 Decision Tree Algorithm, it produces an average accuracy value of 77.78%, which is slightly more accurate than the Naïve Bayes Classifier which produces an average accuracy value of 71.11%.
Exploring Ways To Expand Employment of a Person With a License as a Lifelong Educator: Focusing on Review of Lifelong Educator Placement Criteria and Lifelong Educator Certification Related Curriculum

The purpose of this study is to explore ways to expand the employment of lifelong educators who hold a license.Specifically, the study will review the placement criteria and the curriculum related to the certification of lifelong educators.In order to achieve the goal of expanding the employment of lifelong educators, the study proposes two main strategies.Firstly, it is urgent to expand the criteria for educating lifelong educators and to prepare laws that will penalize violators of the placement standards.Secondly, there is a need to revise the subjects related to lifelong education qualifications.For example, it is necessary to designate human resource development theory and vocational and career design as compulsory subjects, include digital literacy education in the practice area of elective subjects, and add recreation subjects to the method area of elective subjects.As a suggestion for future research, it is necessary to extract the competencies required for lifelong educators by lifelong education institutions and connect them with lifelong education subjects.In other words, it is necessary to extract the competencies necessary for lifelong education teachers by lifelong education institution (formal, semiformal, non-formal) and connect them with lifelong education subjects.As the times change rapidly, the competencies required in each lifelong education institution may also change.By deriving these competencies, subjects should be selected with content that will nurture these competencies.I hope that there will be follow-up studies on the above.
Cloud Services Monitoring: Implementing a Stratified Approach for Enhanced Visibility and Efficiency

- The research paper introduces a novel stratified approach to monitor cloud services, addressing the unique challenges arising from the distributed and dynamic nature of cloud environments. The main objectives of the study are to enhance the effectiveness of cloud service monitoring and management while ensuring the availability, performance, and security of cloud- based applications. The proposed stratified monitoring framework consists of four distinct layers: Infrastructure, Platform, Application, and Security. Each layer focuses on specific monitoring aspects, encompassing infrastructure resources, platform services, application performance, and security events. Methodologically, the paper explores various monitoring tools and techniques suitable for each layer to provide a comprehensive view of the cloud ecosystem. The research includes an empirical case study to demonstrate the practicality and effectiveness of the stratified monitoring approach in real-world cloud deployments. A comparison with traditional monitoring methods is conducted to showcase the advantages of the proposed approach. The obtained results indicate that the stratified monitoring approach significantly improves visibility into the cloud infrastructure, enables early detection of anomalies, and enhances security measures. This approach empowers cloud service providers and users to optimize resource utilization and make informed decisions concerning cloud performance and security. The research paper's significance lies in offering a structured and adaptable framework to monitor cloud services effectively, thus supporting organizations in maintaining reliable and efficient cloud-based applications. The proposed approach fosters a deeper understanding of the cloud ecosystem, mitigates risks, and facilitates prompt issue resolution. Key Words: Cloud computing, Cloud services, Monitoring, Stratified approach, Infrastructure, Platform, Application, Security.
A Study on the Performance Evaluation of Consultants Using DEA: Focusing on Digital Transformation Field

Due to rapid changes in the global industry, companies are facing a variety of challenges.As a result, these companies are striving to resolve issues and overcome crises through digital transformation consulting.The consulting services industry is experiencing growth in this process, and consulting research is making significant contributions to industry growth and achievements.However, consulting research has not placed much emphasis on the performance of individual consultants.Therefore, this study aims to establish and evaluate a performance evaluation model for individual consultants, with the objective of deriving meaningful insights.The study's findings indicate that the consultant's attitude should focus on improving "maintenance of professionalism," and "achievement orientation" emerged as the most superior factors.Additionally, through performance evaluations, inefficiency causes were identified, and DMUs capable of maximizing customer satisfaction through competency training were derived.The limitations and future research directions of this study are as follows: To ascertain the detailed causes of efficiency value, future attempts should include "decision factor analysis."Furthermore, the study was limited to the field of digital transformation and primarily measured consultant attitudes.As knowledge and capability elements in the digital transformation field develop, future research should incorporate complementary performance measurements.Lastly, the utilization of models that consider weighting factors for input variables is necessary.