Reviewerly/exHarmony huggingface dataset:
Analisis Kesesuaian Penyelenggaraan Perpustakaan Sekolah Berdasarkan Standar Perpustakaan (Studi Kasus MIS Bojongmalang Pangandaran)

The library is one of the supporting components in an academic institution that plays an important role in providing books as a reference for learning. The function of the library itself is to provide services to users and increase reading enjoyment, as well as broaden the horizons and knowledge of students. The location of the MI Bojongmalang library is currently not strategic because it is in a hidden place, namely behind the school, near forests, gardens and now it is still in the renovation stage which has been neglected for a long time. the location is not strategic and seems haunted. The purpose of this research is to find out the ideal location of the school library building. This research is a qualitative research using observation, interviews and literature studies. The results of this study are that MIS Bojongmalang still requires continuous improvement and innovation efforts in the administration of libraries, especially in determining the location of library buildings and procuring shortages of other infrastructure facilities.
Implementasi Algoritma FIFO (First In First Out) Pada Sistem Pergudangan Di Bagian Furniture Production

CV Manis Maqbul Jaya is a Specialist Interior Design company, Furniture Production, Contractor Consultant and Kitchen Set Design. In the warehousing process carried out by CV Manis Maqbul Jaya, they still use the manual method, namely the process of goods entering the warehouse and the process of goods leaving the warehouse by recording using a book. Warehousing is used for the storage of goods, namely raw materials and finished goods (Production). The recording of manual inventory updates causes the accumulation of transaction data for incoming and outgoing goods, due to delays in delivering information from store clerks and production officers to warehouse officers or vice versa. so that the process of releasing goods is carried out not based on storage or expiration dates, resulting in damaged or expired old goods. These problems can be overcome by creating a warehousing application using the FIFO (First in First Out) method, where the first item that enters means that the item is the first one out. The warehouse application is software that functions to record and monitor all activities of goods leaving the warehouse and entering the warehouse in real-time. This application is made on a web-based basis to assist the process of recording inventory updates, accurate goods data can be used as an evaluation of incoming goods as an inventory report, thus facilitating the process of running calculations in inventory recording by paying attention to the quality of wood and the expiration of goods used in the warehousing process.
UNLEASHING AI POTENTIAL IN HUMAN RESOURCE MANAGEMENT (A CASE STUDY OF CORPORATE SECTOR IN KARACHI)

HRM is constantly evolving, and there's a growing interest in understanding how cutting-edge technology impacts organizational strategies and employee experiences. This study explores the implications of integrating advanced technologies into HRM practices, focusing on performance, equity, communication, administrative Efficiency, and employee well-being. The research acknowledges technology's pervasive role in HRM and emphasizes the need to examine its impact comprehensively. By examining such factors, the study adds to the body of knowledge by illuminating the intricate interplay between generational and HRM dynamics. The program draws on insights from both quantitative and qualitative statistics resources using a blended-techniques approach. A sample of 120 employees in Karachi, Pakistan's corporate sector, participated in the study. For qualitative statistics, a radical evaluation of the literature changed into hired, and for quantitative records, a closed-ended survey with a five-factor Likert scale was used. The study's findings suggest that technology is having a transformative impact on contemporary HRM practices. The research found a relationship between technology integration and enhanced Efficiency, equity promotion, communication facilitation, reduced administrative burdens, improved employee well-being, and job satisfaction. This research deepens our understanding of technology's ramifications in today's organizational landscape by providing comprehensive insights into the multifaceted changes technology introduces to HRM. By merging quantitative and qualitative approaches, the study offers practical implications and avenues for further exploration in this evolving field. The study's quantitative analysis showed a significant increase in the odds of observing positive impacts with each one-unit increase in AI utilization in HRM across various dimensions. For example, a single unit increase in AI usage is associated with significant increases in the odds of improved Efficiency, fairness, communication, reduced administrative burdens, and enhanced employee well-being and job satisfaction. These findings underscore the profound influence of AI technology on HRM practices and outcomes.
Human Capital and Financial Development: Firm-Level Interactions and Macroeconomic Implications

Abstract Capital-skill complementarity in production implies non-trivial interactions between the availability of human capital and financial constraints. Firms that are constrained in their access to finance hire a lower proportion of skilled workers than do unconstrained firms. Conversely, a lack of human capital increases skilled wages, reducing firms’ desired capital intensity and thus loosening firms’ effective financial constraints. To assess the macroeconomic implications of such firm-level interactions, we build an occupational-choice model with capital-skill complementarity in production, which we calibrate to US data. We vary financial frictions, educational attainment, and total factor productivity across countries, and we quantify how aggregate output, wage inequality, and entrepreneurship are affected by these variations. For aggregate output, the joint effect of both factors is, on average 30 % larger than the sum of the individual effects. Taking the educational attainment of the population as given, in countries with a negligible share of tertiary educated workers and low TFP, financial development has only small effects on aggregate output.
Rancang Bangun Aplikasi Computer-based Test (CBT) serta Optimasinya Menggunakan Cache dan Queue Job

Examinations in schools that still use paper require a great deal of time, effort and money to implement, especially in the activities of printing, duplicating and distributing exam questions to students who will take the exam. Therefore, we need a system that can facilitate the filling, duplication and distribution of questions at a small cost. Based on these problems, a web-based CBT application was built that can be accessed anywhere and anytime and can work on multiple platforms (multi-platform). This system was built using the prototyping method to make it easier for developers and users to develop applications from the initial prototype to the production stage. In practice, this application is expected to be able to accommodate exam activities for all students in the school at the same time. Based on this, the application that is made must have reliability and accuracy starting from the process of carrying out the exam to displaying the results. Researchers apply a cache and queue job system to the application to get maximum results. From the results of tests that have been carried out in three stages, the results show that this web-based CBT application is able to accommodate exam activities in schools with a total of 250 students in one exam session and can display a recap of exam results from all participants.
Agent-based Negotiation for Cooperative Transports within Aircraft Production

Multi-agent systems have been used for many decades to solve problems within complex industrial systems. The most common means of coordination is the Contract Net Protocol, a simple yet powerful auction protocol, which has been enhanced by many authors and addressed by different standardization efforts. Autonomous transportation for aircraft production is a particularly challenging area of automation. It necessitates flexible and reliable approaches, including reliable communication and execution of processes for which existing agent frameworks are insufficient. This contribution outlines current efforts within the community to build a ROS2-based agent framework and proposes an applicable capability-modeling approach as well as a suitable negotiation protocol for cooperative transport processes.
Simulasi Analisis Kualitas Daya Menggunakan Logika Fuzzy Untuk Meningkatkan Efisiensi Sistem Tenaga Listrik

This study aims to simulate power quality analysis using fuzzy logic to increase the efficiency of the power system. Poor power quality can cause disturbances in the electric power system and reduce the efficiency of the energy used. Therefore, improving power quality is one of the main focuses in the electric power industry.The fuzzy logic method is used in this study to evaluate power quality based on relevant parameters, such as voltage, current, frequency and harmonics. Fuzzy logic is able to overcome the uncertainty and complexity of data related to electric power systems, and provide more adaptive and intelligent solutions. In this study, simulations were carried out using special software that implements fuzzy logic to analyze power quality. The input data obtained from the electric power system is used to build a fuzzy logic model. Then, the simulation results are used to identify existing power quality problems and propose appropriate improvement strategies.The simulation results show that the use of fuzzy logic can significantly increase the efficiency of the power system by minimizing disturbances and optimizing power quality. In addition, fuzzy logic also provides the ability to predict the future conditions of the electric power system and take the necessary precautions. This research has important practical implications in the field of power systems. By using fuzzy logic in power quality analysis, power companies and grid operators can optimize power system operations, reduce power losses, improve energy efficiency, and ensure reliable electricity supply to consumers.
Keterkaitan antara Metode dan Media Pembelajaran IPS terhadap Hasil Belajar Peserta Didik di SDN 55/I Sridadi

This research aims to determine and analyze the use of learning methods and techniques to improve student learning outcomes at school, improving academic achievement or student learning outcomes as the main goal of the learning process at school. This research uses a mixed type of research (quantitative and qualitative) through descriptive analysis and inferential analysis. The research was carried out at SDN 55/I Sridadi, for research purposes the data collection tool used a questionnaire, research data was analyzed using descriptive analysis and correlation analysis, from this research, in this research it was found that learning methods, media and student learning outcomes were at an average level and there is a close relationship between learning methods and media on student learning outcomes, so it can be said that student learning outcomes can be improved by using good and appropriate learning methods and tools by teachers in the learning process at school.
Exam Set A

This chapter provides a set of possible exam questions placed in random order and thus reflecting the actual structure in the real exam.
Deep Multi-Layer Neural Network With Variable-Depth Output

In this study, a deep multi-layer neural network (DMLNN) with variable-depth output (VDO), called VDO-DMLNN, is proposed for classification. Unlike the traditional DMLNN, for which a user must define the network architecture in advance, VDO-DMLNN is produced from the top–down, layer by layer, until the classification error rate of VDO-DMLNN no longer decreases. The user thus does not need to define the depth of VDO-DMLNN in advance. The combination of the genetic algorithm (GA) and the self-organizing feature map (SOFM), called GA–SOFM, is proposed to automatically generate the weights and proper number of nodes for each layer in VDO-DMLNN. In addition, the output nodes can be at different levels in VDO-DMLNN rather than all being at the last layer, as in the traditional DMLNN. Thus, the average of computing time required for the recognition of an input sample in VDO-DMLNN is less than that in traditional DMLNN when they have the same classification error rate. Finally, VDO-DMLNN is compared with some state-of-the-art neural networks in the experiments.
Foundation Level Certificate

This chapter quickly introduces the history and purpose of the ISTQB® Foundation Level Certificate.
The Use of the Field Trip to Engage Students' Interest in Writing Descriptive Text

Students’ interest affects the quality of the learning process. This study aims to improve the quality of the learning process of writing descriptive text by applying the field trip method. This study was conducted in classroom action research, with 7 th- grade students of SMPN 11 Pontianak as its subject. The instruments used in this study included the observation checklist, field notes, interview, and writing test. At the same time, the data analysis is done through an interactive analysis technique. This study was done in two cycles, each consisting of planning, acting, observing, and reflecting activities. This study's result showed that implementing the field trip method in writing the descriptive text improved the students’ learning interest. This result indicated the percentage of students’ attention, willingness, activeness, participation, and happiness that increased during cycles I and II. In addition, it also improved the quality of students’ writing, on aspects word choice, coherence, and sentence structure. According to the quantitative data, the students' cycle 1 test score was 72.18, and their cycle II test score was 80.03. In conclusion, applying the field trip method in teaching writing descriptive texts has proven successful in improving students' interests and abilities.
The Effect of Nearpod Toward Tenth-Grade Students’ Reading Skill in A Public Senior High School in North Bali, Indonesia

ABSTRACT&#x0D; &#x0D; This research aims to find out the effect of ICT tool, Nearpod, on students' reading skill. The researcher employed a mixed-method approach by combining a post-test-only design and an interview guide. An independent-sample t-test is carried out to examine quantitative data, whereas interactive model analysis is used to analyze qualitative data. The research population including tenth-grade students at SMA Negeri 1 Banjar. 29 students from X8 class are set as experimental group and 31 students from X1 as control group. The research findings revealed that the implementation of Nearpod significantly affects students’ reading skill at SMA Negeri 1 Banjar. The result show mean score of experimental group (M=80.76) is higher compared to control group (M=70.77). The interview results revealed that Nearpod positively impacted the reading-learning process. Students can access the material anytime and from any location via Nearpod. Additionally, it improves learning effectiveness, efficiency, and interest. Further study is encouraged to investigate the effect of Nearpod on other English skills, disciplines, or levels.&#x0D; &#x0D; Keywords: Reading Skill, Nearpod, English Language, MALL, ICT Tools in ELT&#x0D; .&#x0D; &#x0D; ABSTRAK&#x0D; &#x0D; Penelitian ini bertujuan untuk mengetahui pengaruh perangkat TIK, Nearpod, terhadap keterampilam membaca siswa. Peneliti menggunakan pendekatan campuran dengan mengabungkan desain post-test only dan wawancara. Independent-sample t-test digunakan untuk menguji data kualitatif, sementara model analisis interaktif digunakan untuk menganalisis data kualitatif. Populasi penelitian meliputi siswa kelas 10 di SMA Negeri 1 Banjar. 29 siswa yang berasal dari kelas X8 ditetapkan sebagai kelompok eksperimen dan 31 siswa dari kelas X1 ditetapkan sebagi kelompok kontrol. Hasil penelitian mengungkapkan bahwa pengimplementasian dari aplikasi Nearpod secara signifikan telah mempengaruhi keterampilan membaca siswa di SMA Negeri 1 Banjar. Hasil menunjukan rata-rata dari grup eksperimental (M=80.76) lebih tinggi dibandingkan dengan rata-rata grup kontrol (M=70.76). Hasil interview menunjukan bahwa Nearpod secara positif telah mempengaruhi proses pembelajaran membaca suswa. Siswa dapat dengan mudah mengakses materi kapanpun dan dimanapun dengan Nearpod. Nearpod juga meningkatkan efektivitas, efesiensi, dan ketertarikan dalam belajar. Penelitian lebih lanjut dianjurkan untuk meneliti pengaruh Nearpod pada keterampilan Bahasa Inggris, disiplin ilmu, atau pada level yang berbeda. &#x0D; &#x0D; Kata Kunci: Keterampilan Membaca, Nearpod, Bahasa Inggris, MALL, Perangkat TIK dalam Pembelajaran Bahasa Inggris&#x0D;
The Utilization of Digital Technologies in Learning Speaking Skills: Students’ Problems and Strategies at Islamic School

Effective communication through speaking is a crucial element in today's globalized world. As technology continues to advance, it is essential to incorporate digital tools to enhance and teach speaking skills. An analysis was conducted to investigate the challenges encountered by students while learning English speaking skills through the utilization of digital technologies at an Islamic High School. The study employed a case study methodology with questionnaires and in-depth interviews as data-gathering techniques. The outcomes of this research focused on the student's learning process of English speaking skills, the obstacles they encounter, and the strategies employed to optimize the use of digital technology in acquiring those skills. The demand for curriculum updates and teacher training may contribute to this trend. Urgent changes are needed in English learning to emphasize broader skill development instead of memorizing vocabulary and grammar. Educational institutions should consider these findings and improve English language instruction accordingly.
Encouraging Students’ Understanding on Learning Phonology Through Native Speakers’ Videos on YouTube

The goal of teaching and learning in the class is to make the students understand the material. The goal can be reached if the learners are highly motivated to learn and the lecturer can deliver the material. Moreover, in English phonology, to make the students more understand and interested in learning it, the lecturers can use some media, like videos on YouTube, to support their teaching. So the students can comprehend English phonology entirely. The study is mainly intended to find the use of native speakers' videos in encouraging the students' understanding of learning English phonology and students' responses to those strategies. The design of the study was descriptive. The data were collected through classroom observation and a questionnaire. The research respondents were the 36 students of the English teaching-learning program. The result showed that using native speakers' videos on YouTube can encourage students' understanding of English phonology. So, using native speakers' videos in teaching English phonology is well-recommended.
Impact of E-marketing Capabilities and E-marketing Orientation on Sustainable Firm Performance of SME in KSA Through E-relationship Management

This study aims to investigate the impact of e-marketing orientation and e-marketing capabilities on sustainable business performance through e-customer relationship management. Employing a positivistic and deductive approach with an experimental technique, this research utilizes a cross-sectional design, collecting 152 responses via a Google Docs questionnaire. Smart PLS3 analysis reveals that sustainable business performance significantly hinges on e-marketing capabilities and orientation, with e-customer relationship management acting as a mediator. Notably, this study underscores strong interrelationships among all variables and highlights noteworthy positive influence of social media marketing on SME performance in Kingdom of Saudi Arabia. While this research acknowledge need for future studies to broaden the variable scope, its implications offer valuable assistance to SME top management for achieving long-term performance objectives. The distinctive contribution of this study lies in its examination of sustainable SME performance in KSA through the lenses of e-marketing and e-relationship management, enriching the understanding of these factors in fostering enduring success.
Hate Speech through Social Media: A Systematic Review

Hate speech is a complicated concept and there is no locally recognized definition for it in Pakistan. But there are some academic publications and court precedents that tell us about what comes in the ambit of ‘hate speech’. According to them any danger and damage caused by certain forms of expressions have been globally acknowledged in defining hate speech. Our study explores existing research findings by using systematic review analysis on how social media may or may not create an opportunity for online hate speech and which kind of hate speech is mostly being disseminated on social media. A sample of 20 studies out of a total of 50 research papers found in the searches was analyzed that discussed online hate speech from 2015 to 2020. The reviewed studies provide exploratory data about reasons for hate speech happening on social media and how social media make space for hate speech and cyber hate. The findings of this study provide recommendations to counter hate speech on social media.
New Regional Exploration Methodologies

Summary Geothermal exploration is evolving towards a more quantitative evaluation of the reconnaissance and advance exploration surveys. Geothermal plays and geothermal play fairway concepts play a key role in the new data integration methods. Traditional knowledge-based methods are being displaced by data-driven methods using advanced statistical techniques and introducing machine learning in the resource evaluation process. This evolution of data processing has allowed the discovery of blind geothermal systems and the regional evaluation of geothermal resources increasing the reliability of the results.
Geothermal Information for Local Development a Municipal Approach in Bagaces

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Evaluation of Support Vector Machine, Naive Bayes, Decision Tree, and Gradient Boosting Algorithms for Sentiment Analysis on ChatGPT Twitter Dataset

ChatGPT is a language model employed to produce text and engage in conversation with users. It serves as a tool for generating text and facilitating interactions in a conversational manner. The model was designed to provide relevant and useful responses based on the context of the ongoing conversation. By the increasing popularity of using ChatGPT, it makes it difficult for users to classify responses about the use of ChatGPT. Therefore, sentiment classification of ChatGPT is carried out. The dataset used is sourced from the kaggle website with a total of 20,000 data. The classification methods used in this research include Support Vector Machine (SVM), Naïve Bayes, Decision Tree, and Gradient Boosting. Through the research results, the Support Vector Machine algorithm had the highest accuracy value with 80% compared to other methods, when the data is divided by a ratio of 90:10. This research is expected to help developers and service providers to improve ChatGPT and understand user responses better.