Reviewerly/exHarmony huggingface dataset:
Analisis Bibliometrik Tentang Mitigasi Bencana dan Pembangunan Berkelanjutan: Inisisasi Kebijakan Untuk Indonesia

This research aims to analyze trends related to disaster mitigation and sustainable development policies through a bibliometric approach, with a special focus on implications and recommendations relevant to Indonesia. The analysis method involves searching and collecting data from Scopus, followed by data processing using the Vosviewer and Nvivo 12 Plus analysis tools. Research findings show an increasing trend in publications related to disaster mitigation and sustainable development since the early 2000s, reflecting increasing global awareness of the need for holistic and sustainable disaster management. Policy recommendations include strengthening early warning systems, developing disaster-resistant infrastructure, disaster awareness education and training, consolidating data and information, and collaboration between sectors and international partners. These are important steps in facing disaster challenges and encouraging sustainable development in Indonesia. Through an analytical approach that is bibliometrically rigorous, this research identifies knowledge gaps in the global literature related to the intersection between disaster mitigation and sustainable development, particularly in the Indonesian context. With efforts to outline findings related to research trends, map themes, and necessary policy recommendations, this research provides a solid foundation for developing integrated and responsive policy initiatives for disaster mitigation and sustainable development challenges in Indonesia. The findings of this research can provide a more comprehensive and focused view for relevant stakeholders. They can become a basis for further research and policy development to maintain community resilience and advance sustainable development in Indonesia.
APPROACH TO EVALUATING THE EFFICIENCY OF A COMPLEX SECURITY SYSTEM

Protection and protection of human health, life, habitat, material and intellectual property is an important task at the current stage of society's development. Security and protection systems based on legal, organizational, moral and ethical, hardware and software methods and tools are used to solve this problem. They must meet the legal norms and requirements that are put forward for each category of protection objects. One of the important hardware and software means of protection are elements and devices of electronic equipment, including sensor devices. Their functioning is based on the achievements of solid-state physics, optics, electro-optics, electro-acoustics, etc. Modern electronic technologies make it possible to create effective microelectronic sensor devices for security and protection systems, the functioning of which consists in the use of optical, mechanical, magnetic, piezoelectric, strainometric, capacitive and other types of signal transducers. In the process of building modern safety and security systems, it is necessary, on the one hand, to have information about the capabilities and peculiarities of the functioning of individual components that ensure the fulfillment of the task of protecting the object. On the other hand, it is necessary to have an assessment of the effectiveness of the developed system, which should include both reliability indicators of all elements and channels of information transmission, as well as indicators of the performance of the functional task. The developed mathematical model of the efficiency of the application of the protection system will provide an opportunity to make the correct choice of the constituent elements of the system, the parameters of which most fully ensure the performance of the protection task. This approach ensures the organization of the interaction of security alarm systems, fire alarm systems, access control systems, video surveillance systems and centralized security consoles. Keywords: complex of technical means; security system sensor; centralized security control panel; security system efficiency.
Developing Picture Story Book Media to Teach Speaking Skills in Kindergarten

Engaging media is necessary to stimulate children's speaking skills in kindergarten. The purpose of this study is (1) to describe the development of media big book picturesque stories for learning speech skills in children's kindergarten, (2) to describe the feasibility, practicality, and effectiveness of big book picturesque media for learning kindergarten speech skills. This research employed the research and development of Borg and Gall, which, due to time and cost limitations, then took only seven stages—data collection techniques using questionnaires and observations. Data is validated with media validity assessment by material experts and media experts—data analysis techniques using quantitative and qualitative data analysis. Design development plans using flowcharts, define access learning objectives, formulate indicators references, define media titles, compile storytelling, layout Big Book story images, create storyboards, and create validation lifts. Results from the validity of 88.3% (very decent), product practicality of 89% (efficient), and effectiveness of 83.42% (excellent). Thus, the media big book picture story is very decent, practical, and effective for learning speaking skills in kindergarten children
Pelabelan Total Titik Ajaib Pada Graf Tangga

The labeling of a graph is a mapping that pairs the elements in the graph into positive integers. In this thesis, it discusses how the magic total point labeling algorithm on the ladder graph and the ladder graph and how the magic total point labeling on the ladder graph and the adder graph uses the magic square matrix modification using the durer method. Where the elements of the result of this magic square matrix modification will be used as point labels on the ladder graph and the ladder graph.
Analisis Bahaya Longsor di Kecamatan Padalarang Kabupaten Bandung Barat Berbasis Sistem Informasi Geografis

Indonesia is characterized by a diverse topography and low to very high rainfall intensity. In addition, the population density in fertile Indonesian hilly areas is also increasing. These conditions translate to high potential for landslide hazard in Indonesia with threats of loss ranging from economic, social, to fatalities. One of the areas with a high level of landslide hazard is Padalarang Subdistrict, West Bandung Regency, West Java Province. The purpose of this research is to identify the landslide hazard in Padalarang Subdistrict, West Bandung Regency. Geographic Information System Analysis was used in this study by using an overlay technique presented on the map. The analytical method used was a survey-exploratory analysis with descriptive analysis techniques. The results showed that the landslide hazard in Padalarang Subdistrict could be divided into three categories; having landslide hazard in the north, having landslide potential in the north to the west and southeast, and having no landslide hazard in the central to southern parts which are alluvial plains. Analysis of the landslide hazard in Padalarang Subdistrict provided a spatial picture so that it could be potentially employed to be part of disaster mitigation to minimize material and non-material losses.
The Average Value Algorithm from The Distance Matrix for Traveling Salesman Problem

The Traveling Salesman Problem (TSP) is a popular problem, but until now there is no algorithm that has the same search results as brute force with a fast search time. Many algorithms have been made previously related to solving this problem with the aim of finding the shortest route through a number of nodes to finally return to the initial node. The purpose of this research is to create an algorithm that can optimize the search for the shortest route with a fast search time. The approach taken is to find the average value of the distance matrix and look for routes with links that have values below the average value. Each route that has been passed will be marked and compared so that it can facilitate the search with a shorter processing time. In this paper the best and effective routes are limited to 12 nodes. The results obtained show that the Average Score Algorithm provides a relatively stable processing time from node 4 to node 12. The proposed algorithm has a tendency of decreasing processing capacity with increasing number of nodes.
Belajar Sambil Berdampak Pada Penugasan KM 4, SMP Kristen 3 Kalabahi

The Teaching Campus Program provides opportunities for students to learn outside the classroom by becoming teacher partners in the learning process at the educational level. Through this program the role of students is needed to provide better learning to schools and hone creativity. In addition, during the assignment, students are also given the task of assisting the administration at the school where the assignment is. As for what we do on the sidelines of the activities that we program, we also help with school administration in accordance with directions from the school and school operators.
Software Technology Project Defect Prediction Based on AI

Abstract—In the rapidly developing information age, software development has become an important component of modern society. However, due to the complexity of the development process, project defects would inevitably occur in the software development process, leading to the extension of the software development cycle and the increase of costs. Therefore, this article explores and studies the issue of defect prediction in software technology projects based on artificial intelligence (AI). By analyzing and mining relevant data on project defects, a defect prediction model based on machine learning was established, and the effectiveness of the model was evaluated and analyzed. The results show that the average defect detection rate of strategy 3 is 0.88. The AI based software technology project defect prediction method proposed in this article can effectively improve the quality and efficiency of software development.
Research on Intelligent Charging Management of New Energy Vehicles Based on Big Data

Aiming at the problem that the low level of intelligent charging management of new energy vehicles leads to poor charging scheduling effect, an intelligent charging management method of new energy vehicles based on big data analysis is proposed. The dynamic charging service algorithm (DCSA) based on Lyapunov was used to perform the charging scheduling on NETs, and charging suggestions were given according to demand. The simulation results show that in terms of passenger demand latency, the latency of DCSA is 19.65%, 22.54% and 16.15% lower than that of NCM, RCM and WPAC algorithms, respectively, thus the proposed algorithm can obtain passenger demand faster. In conclusion, the DCSA scheduling algorithm based on passenger demand performs well in charging management and has certain feasibility.
Multi-perspective Enhancement Of Text Semantic Matching

With the widespread adoption of social media, text matching tasks have gained a prominent role in the field of natural language processing. However, traditional text matching methods often overly rely on shallow features and do not adequately consider the contextual semantic information within the text. With the rise of deep neural networks, deep learning methods have ushered in new directions in the field of text matching, enabling us to better understand and process semantic information within text. We introduce a framework that combines various models and techniques to more accurately assess semantic similarity between Chinese texts. Within this framework, we integrate the contextual understanding capability of BERT with neural network architectures such as Bidirectional Long Short-Term Memory (BiLSTM), Convolutional Neural Networks (CNN), and self-attention mechanisms. Through the fusion of multi-perspective information, we are better equipped to handle semantic ambiguities and polysemy in text matching tasks, ultimately improving matching performance. Extensive experimental evaluations were conducted on publicly available Chinese datasets, BQ and LCQMC. The results demonstrate that our multi-perspective textual semantic matching approach has significantly outperformed existing methods in terms of performance.
Analisis nilai karakter cerita nonfiksi dalam buku siswa kelas iv tema 7 “indahnya keragaman di negeriku”

&lt;p&gt;&lt;strong&gt;Abstract.&lt;/strong&gt; This research is a research with a qualitative descriptive approach. This research was conducted through several stages, namely reduction, classification, presentation, and drawing conclusions. This study aims to describe the character values of non-fiction stories contained in the fourth grade student book with the theme "The Beauty of Diversity in My Country" in the 2013 curriculum. These character values consist of religious values, nationalism values, independent values, mutual cooperation values, and integrity values. The research data source is the fourth grade student book theme 7 "The Beauty of Diversity in My Country" curriculum 2013. The results show the values of religious character, nationalism values, independent values, mutual cooperation, and integrity values can be instilled in students through non-fiction literary works.&lt;/p&gt;
Analisis keterbacaan teks narasi pada buku siswa kelas IV SD tema 4 “berbagai pekerjaan” kurikulum 2013 menggunakan grafik fry

&lt;p class="Abstract"&gt;&lt;em&gt;The purpose of this research is to analyze &lt;/em&gt;&lt;em&gt;readability of the narrative text using fry graph. The scope of this research is the narrative text contained in the student book of fourth grade elementary school theme 4 “berbagai pekerjaan” in the curriculum 2013, which consists of 13 narrative texts. The research method of this study is descriptive analysis, the data that has been collected and then analyzed for readability using the fry graph. Based on the legibility formula introduced by Edward Fry, the main factors affecting the level of readability are two things, “the short length of the sentence” and “the syllables that make up the words in each text”. After calculating with the fry graph formula, it was found that the narrative text contained in the fourth grade elementary school theme 4 “berbagai pekerjaan” in the curriculum 2013 is more suitable for grades 1,2 and 3.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Efektivitas Penggunaan Aplikasi Marbel dalam Meningkatkan Minat dan Motivasi Belajar pada Siswa Sekolah Dasar

This study discusses the effectiveness of marble applications in improving reading ability starting with pronouncing vowels in children who have difficulty reading or lack interest in reading. The ability to recognize letters is the first step for children to have the ability to read and write. In this modern era, letter recognition using educational games on gadgets is still lacking, children use gadgets more just to watch and play. This research aims to increase children's interest and motivation in reading and writing activities by using gadgets as a means to play in the Marbel application. In this study the researcher used the literature study method in which the researcher read and recorded and processed several journals, books, and documents (both printed and electronic) as well as other sources of information data that were considered relevant to the research or study. In order to get valid and relevant data that will attract readers' interest and motivation in terms of educating and developing children's enthusiasm for reading using the Marbel application which contains interesting features so that children do not get bored reading, the features displayed are in the form of interesting games.
Analisis keterampilan berpikir kritis matematis ditinjau dari multiple intelligences pada peserta didik kelas V di sekolah dasar

&lt;p class="Abstract"&gt;&lt;em&gt;This study aims to explain and describe the ability to think critically mathematically in terms of Multiple Intelligence in fifth grade students at elementary school. The method used in this study is a qualitative approach with a case study research design. Sampling was carried out using purposive sampling technique. The data collection technique uses triangulation using data from document analysis, questionnaires, interviews, and observations. Data analysis was carried out descriptively and qualitatively. Based on the research results, it is known that the ability to think critically basically has different levels of ability when viewed from the perspective of multiple intelligences. Students have a lower level of critical thinking skills than their peers; However, they show extraordinary intelligence in certain areas. Students who fall into the categories of linguistic intelligence, musical intelligence, intrapersonal intelligence, and natural intelligence show lower order thinking skills (Lower Order Thinking/LOT) on mathematical critical thinking performance. Students with logical-mathematical intelligence and spacial intelligence category show High Order Thinking (HOT) on mathematical critical thinking performance. Students who fall into the category of bodily-kinesthetic intelligence and interpersonal intelligence show Middle Order Thinking (MOT) on mathematical critical thinking performance.&lt;/em&gt; &lt;em&gt;This study focuses on the characteristics of students' multiple intelligences towards the level of critical thinking mathematics so that it can be used as a reference for classifying students in the process of learning mathematics.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Developing a Machine Learning-Based Software Fault Prediction Model Using the Improved Whale Optimization Algorithm

Software fault prediction (SFP) is vital for ensuring software system reliability by detecting and mitigating faults. Machine learning has proven effective in addressing SFP challenges. However, extensive fault data from historical repositories often lead to dimensionality issues due to numerous metrics. Feature selection (FS) helps mitigate this problem by identifying key features. This research enhances the Whale Optimization Algorithm (WOA) by combining truncation selection with a single-point crossover method to enhance exploration and avoid local optima. Evaluating the enhancement on 14 SFP datasets from the PROMISE repository reveals its superiority over the original WOA and other variants, demonstrating its potential for improved SFP.
Development of a WAO Learning Module for the Absorption Topic of Year One Science

Teaching and Learning at Home (TLH) provides a challenge to Science subject since it needs to be learned without relying entirely on the teacher. Learning using modules is one of the methods of TLH that can be implemented to help teachers in teaching Science subject. Therefore, this study was performed to develop a WAO learning module for the Absorption topic of Year One Science subject. The development of the module according to ADDIE instructional design but this study only focused on the development and validity evaluation of the module which were included in the development phase. The module was developed to apply the structured inquiry learning strategy. The development of the WAO learning module comprised the development phase and validity evaluation phase of the module. The developed WAO self-learning module consisted of three units namely Unit 1 (water-absorbing objects), Unit 2 (types of material and water-absorbing capacity) and Unit 3 (water-absorbing objects and daily life). The findings of the study showed that the module had a high percentage of expert agreement values of 98% and 97% in terms of face validity and content validity. In conclusion, this study has successfully developed the WAO learning module which had high face validity and content validity. The implication of this study is the developed WAO learning module can be used as a learning module for TLH sessions. The module is expected to attract students to study Science subject, encourage them to be active during TLH sessions and increase their understanding towards Absorption topic.
THE EFFECT OF INTEGRATIVE LEARNING MODEL TYPE NETWORKED IN LISTENING

The aim of this research is to identify the effectiveness of the Networked Type Integrative Learning Model in Listening for Class VII Students at UPT SMPN 8 Bangkala Barat, Kab. Jeneponto. The researcher was applied pre-experimental design the population is the first-grade students of UPT SMPN 8 Bangkala Barat, Kab. Jeneponto in academic year 2021/2022. In analyzing the numerical data, the writer was used SPSS for windows. Based on the discussion above, we can conclude that There is an influence of the networked type of integrative learning model on the results of the listening ability of Class VII UPT SMPN 8 Bangkala Barat, Kab. Jeneponto. This can be seen from the research results above that the p-value from the pretest and posttest is lower than ? (0.000&lt;0.05) and the degree of freedom is 22. The t-test value from the pretest and posttest can be concluded that there is a significant difference. This shows that the alternative hypothesis (H1) is accepted and, of course, the null hypothesis (H0) is rejected. This shows that the application of the networked type of integrative learning model to Class VII students at UPT SMPN 8 Bangkala Barat, Kab. Jeneponto can improve students' listening skills
INCREASING STUDENT LEARNING ACHIEVEMENT IN ENGLISH SUBJECTS USING THE GROUP INVESTIGATION METHOD IN CLASS VII UPTD SMP NEGERI 6 SINJAI

The method is suitable and considered succeed in increase achievement study English lessons with use Group Investigation method. In study this researcher uses technique data collection carried out in a manner qualitative obtained from observation at the time ongoing learning process teach During research, and methods quantitative obtained from test results study subject on each cycle. Then the data is analyzed in a manner qualitative, that is explain Action results during the learning process teach, and in quantitative with use statistics descriptive that is average score, table frequency, value minimum, value maximum, distribution table and table presentation
Effect of Personality Traits and Social Value Orientation on The Tendency to Dishonesty”: An Empirical Study

The tendency for dishonesty and cheating engenders efficiency losses, manifesting in various forms, such as non-compliance with established production protocols or instances of tax evasion. Cumulatively, the compounding effect of numerous small acts of dishonesty culminates in substantial damage. The behavioral economics literature documents that people tend to commit small frauds but rarely resort to large frauds. We conducted a series of well-known experiments and quasi-experiments measuring propensity to cheat, social orientation, and personality traits. To measure the tendency toward dishonesty, we conducted a coin-flip experiment. Additionally, we utilized quasi-experimental methods to calculate social orientation through a brief six-question version of the Social Value Orientation Measurement and a short ten-question version of the Big Five personality traits. Trust in others was included as an explanatory variable derived from a sender-receiver experiment. Employing Poisson regression analysis, we discern the dependence of the tendency for dishonesty on social orientation. Our findings reveal a correlation between social orientation and the propensity for dishonesty. Specifically, individuals with a more competitive disposition exhibit a heightened inclination to engage in dishonest behaviors compared to their prosocial counterparts. However, our analysis did not detect any dependence on trustworthiness or personality traits to the tendency for dishonesty.