Reviewerly/exHarmony huggingface dataset:
Community Policing: An Innovative Approach for Effective Law Enforcement

This research is an attempt to understand community policing as an innovative approach to encourage police-community interaction for crime reduction and implementation of law and order. It identifies key gaps in policing and provides strategies to reinforce community policing guidelines and initiatives for crime prevention. This is an endeavor to understand community policing and considers the mandate, design, features, and functions by profiling initiatives laid out by the authorities. It also sheds light on the importance of citizen-police affiliation assisting law enforcers to enhance their capacity for identification, recognition, and acknowledgment of prevalent community issues through positive non-enforcement. Most importantly, strategies to reestablish communication and trust between communities and law enforcement agencies through proactive engagement and community-oriented programs have been discussed. Lastly, this article has also examined government introduced legal frameworks and recommendations to enhance community-police engagement to ensure improvement in policing.
STUDENTS’ ANXIETY FACTORS IN SPEAKING ENGLISH

This research aims to determine the factors that cause second year students’ anxiety when speaking English. It was done in SMPN 3 Kroya Indramayu academic year 2020/2021.The researchers find some problems in speaking skill of second year students are low and do not have enough self-confidence. The problems are influenced by some factors such as teacher, teaching lesson, and students. It makes the researchers interested in conducting research. This research focuses on student’s speaking anxiety based on the characteristics of anxiety and the factors that caused student anxious. This research was qualitative in nature. Data collecting technique was done by observation, interview, and documentation. The research subject was second year student that the number was 64 students. The subject interview of this research was conducted by purposive sampling technique. The subject of research was taken six students from 64 students of 8th B grade. Then it was analyzed by using data reduction, data display, and conclusion drawing/verification. The result of this research shows that students who feel anxiety when speaking English were caused by some factors. Those are classroom activities, ways of teaching, teaching lesson, disbelief in speaking and stressful speaking experiences.
Values in the development of the strengthening of labor coexistence

This research article refers to the strengthening of healthy coexistence through values, taking into account that values strengthen a society and culturalize with significant aspects to live in harmony. Therefore, the objective of this research is to investigate how low coexistence influences the academic performance of students. It was necessary to use an interview applied to students and parents. By means of the qualitative method, which allowed to know how values help to strengthen coexistence, from the school and family context. Leaving as a result particularly the participation and interaction between families and young people in order to influence with rules and values that are reflected in the educational context. At the end of the project, a booklet will be delivered to the educational context for the applicability with young people and to solve negative situations of bad coexistence that may arise in it.
ANALISIS MOTIVASI BELAJAR PADA KETERAMPILAN MENYIMAK SISWA KELAS III SDS MUHAMMADIYAH 06 TEBET

The background of this reseacrh is that the researchis wants to know and describe further about the analysis of learning motivation on the listening skills of third grade students of SDS Muhammadiyah 06 Tebet. This study aims to analyze the learning motivation of the grade students of SDS Muhammadiyah 06 Tebet, explain how the learning process in analiyzing the learning motivation of the third grade students of SDS Muhammadiyah 06 Tebet is listening and what factors can incrase learning motivation and teacher efforts to maintain qualitu. Learning motivation on students: listening skills. The results of the study show that the learning process in the analysis of learning motivation on students’listening process in the analysis of learning motivation on stundents’ listening skills is carried out using the Google Meet aplication, WhatsApp group and the Kejar Cita website. Factors that can increse learning motivation in students’ listening skills, there are 2 motivations, namely instrinsic motivation and extrinsic motivation, both of which are veri influential in a learning process. Intrinsic motivation is found in students because of the spririt and ideals to be achieved and extrinsic motivation given by teachers, parents, friends and the environment can improve student learning outcomes. The teacher’s efforts in maintaining the quality of learning motivation on students’ listening skills by providing video, motivatonal words before strating learning, and providing active and fun learning
Autonomous Navigation Building Climbing And Handing Robot Based on SLAM

When there is no elevator at the station and airport or the elevator is crowded, the ramp of baggage checking is steep, the weight of luggage package is too heavy, it takes time and effort, and it is very easy to knock against and cause damage to the contents of the package.Our climbing robot carries out autonomous navigation based on visual SLAM.Equipped with ROS robot operating system, it adopts laser SLAM mapping navigation technology and tracks as running parts, which is suitable for various terrains.The adoption of binocular vision, can be more accurate analysis of the surrounding environment.The robot is equipped with MPU9250 attitude sensor, which is convenient for solving robot attitude.Jetson Nano was used as the upper computer and STM32F429 as the lower computer.
Comparison of Modern and Conventional Learning Methods for Children with Special Needs

When it comes to education, conventional and modern ways of learning are applied at all times. This, however, applies to students with special needs in order to meet their individual learning objectives. Based on the needs of students and the resources available in each region, conventional and new learning methods are used. Conventional and modern learning techniques will produce learning methods that are tactical, technical, and practical in the form of expository methods, demonstrations, panel discussion and debate, role-playing, and simulation techniques. A modern and traditional learning method's efficacy, efficiency, and quality can be measured by these three factors.
Design and Development of a Mobile Robotic System for Aircraft Wing Fuel Tank Inspection

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;This paper presents the design concept behind a novel remote visual inspection robotic system for fighter jet aircraft wing fuel tank inspection. This work is part of a larger research project which focuses on design, simulation, physical prototyping and experimental validation of a robotic system. Whereas this paper specifically focuses on the development concept of locomotion design choice for the robot. Therefore without an effective mobility method the robot will not be able to fulfill its purpose to access the hazardous confined spaces of the fuel tank. Aircraft wing fuel tank inspection is a challenging area of maintenance which requires a considerable amount of preparation and involvement of several tasks in order to conduct effective Visual and Non Destructive Inspection. The environment of an aircraft wing fuel tank poses several challenges due to both physical and atmospheric constraints which can be detrimental to human personal. This paper introduces an effective locomotion design which should allow the robot to enter and maneuver within confined spaces. The robot is relatively small, approximately 70mm in height and width yet, flexible enough to move within the restricted spaces of the wing. The mobile robot platform is a combination of small track systems that articulate like a snake. An additional mobile platform deploys an inspection sensor to reach the spaces that are unreachable by the robot body. Like other proposed robotic systems this particular proposal differs as it allows the robot to enter from the root of the wing and reach the narrower spaces towards with the wing tip. This paper highlights the stakeholder requirements to illustrate the foundation of the robotic system design. An overview of current complications of wing fuel tank inspection is presented and the analysis of current proposed robotic systems for wing fuel tank inspection. An engineering design methodology approach is followed for this project. Several locomotion methods are evaluated and an innovative locomotion method is illustrated with the use of CAD models. The desired outcome of this research is to eliminate the entry or close contact with the fuel tank by human personal.&lt;/div&gt;&lt;/div&gt;
A machine learning based sensing and measurement framework for timing of volcanic eruption and categorization of seismic data

The circumstances and factors which determine the volcanic explosive ejection are unknown, and currently, there is no effective way to determine the end of a volcanic explosive ejection. At present, the end of an eruption is determined by either generalized standards or the measurement which is unique to the volcano. We investigate the use of controlled machine learning techniques such as Support Vector Machine (SVM), Random Forest (RF), Logistic Regression (LR), and Gaussian Process Classifiers (GPC), and create a decisiveness index D to assess the uniformity of the groups provided by these machine learning models. We analyzed the measured end-date obtained by seismic information categorization is two to four months later than the end-dates determined by the earliest instance of visible eruption for both volcanic systems. Likewise, the measurement systems, measurement technology becomes key elements in the seismic data analysis. The findings are consistent across models and correspond to previous, broad definitions of ejection. Obtained classifications demonstrate a more significant relationship between eruptive movement and visual activity than information base records of ejection start and completion timings. Our research has presented a new measurement-based categorization technique for studying volcanic eruptions, which provides a reliable tool for determining whether or not an emission has stopped without the need for visual confirmation.
Material Sales Clustering Using the K-Means Method

Along with the increasing growth of technology and the development of science, business competition is also getting faster and therefore we are required to always develop the business in order to always survive in the competition. Family Gypsum is a store whose sales system is the same as a supermarket, namely the buyer will take the goods to be purchased himself. From this, data on sales, purchases of goods, and unexpected expenses are not structured properly so that the data only functions as an archive. In this research, data mining is applied using the K-Means calculation process which provides a standard process for using data mining in various fields to be used in clustering because the results of this method are easy to understand and interpret. The results obtained from the K-Means method that has been implemented into Rapid Miner have the same value, which produces 3 clusters, namely clusters that do not sell, clusters that sell, and clusters that sell very well. With red clusters with 2 items, the clusters selling green with 28 items, the clusters selling with blue with 30 items. The results of this study can be entered into the Family Gypsum store Jl. H. Ulakma Sinaga, Red Rambung who is getting more attention on each sale based on the cluster that has been done
Meningkatkan Kinerja Backpropagation Neural Network Menggunakan Algoritma Adaptif

The application of Artificial Neural Networks in various fields of human life is getting wider, especially in the industrial sector. One of the artificial neural network structures that are quite often used is the Feedforward Neural Network with its well-known learning algorithm, namely Backpropagation. However, as reported by several researchers, Backpropagation has several weaknesses such as it takes a long time to converge in the training process, it is quite sensitive to initial weight conditions and is relatively often trapped in a local minima which can thwart the training process. In this study, the Adaptive algorithm is proposed as an alternative to the Backpropagation learning algorithm. The proposed algorithm provides hope in overcoming the weaknesses faced by Bakpropagation. As reported in the test results, compared to Backpropagation, the Adaptive algorithm is much stronger in dealing with variations in the initial weight conditions. From 100 tests in this study for each Backpropagation and Adaptive algorithm, with random variations for the initial weight value, the success rate of the Adaptive algorithm training process reaches 100% compared to Backpropagation which is at the level of 77%. In terms of speed, the Adaptive algorithm has successfully carried out the training process with an average number of iterations of 37 times compared to Backpropagation which requires an average of 162 iterations.
Service Risk Assessment Learning Management System using ISO 31000:2018/31010

Many universities take advantage of the development of information technology to encourage the process of teaching and learning activities.Many models are used and one of them is LMS (Learning Management System).LMS (Learning Management System) is an electronic learning system program that is used to assist the learning process of students studying anywhere and anytime so that students can access material easily.One of them is LMS Ahmad Dahlan University which manages and implements website-based information technology using Moodle.Management cannot be separated from the possibility of risks that can disrupt the system and hinder learning business processes.Risk fixes should be scheduled so that when a breakdown occurs, recommendations can be made from the start and not when a risk occurs.Risk assessment using the 31000:2018 method is used for risk management guidelines which consist of communication and consultation stages, context setting, ISO 31010:2009 which is the standard assessment technique used consists of risk assessment stages (Risk identification, risk analysis, and risk evaluation), then the stages after the assessment are risk treatment, risk monitoring and review, risk recording and reporting using ISO 31000:2018 guidelines.Data was collected by filling out an introductory questionnaire and a questionnaire to identify the likelihood and impact of risks and determine stakeholders, RACI, and risk treatment and then validated through interviews with key informants.The results of this study are risk identification documentation that has 29 possible risk variables and risk impacts, and the results of the risk assessment of all variables are at a low level (low) but the risk management criteria are different, namely, 13 risks get a score scale of 1, and 16 risk gets a scale value 2 but at the same level.After being evaluated, the risk assessment can be used as a reference for preventing the handling and maintenance of information technology systems and assets in the future.
Improving the security of the organization from the shadow IoT using Blow-fish encryption algorithm

Smart cities, traffic congestion, waste management, structural health, security, emergency services, logistics, retail, industrial control, and health care are just a few of the applications that the Internet of Things (IoT) can help with. The Internet of Things (IoT) is a mega-technology that can connect to anything, anybody, at any time, place, platform, and network. It has a significant impact on the entire blockchain of enterprises, smart objects, and devices, systems, and services provided by heterogeneous network connection (HNC) and is being developed as a smart pervasive framework for smart devices. Because IoT devices link to complicated equipment, interact with hostile surroundings and are deployed on a variety of unregulated platforms, they confront several security risks and challenges. Because the Internet of Things (IoT) has the capacity to integrate any sort of network or sophisticated system, it may be vulnerable to vulnerabilities inherent in the separate systems that make up the integrated network. The purpose of this research paper is to investigate the security issues that individual systems responsible for IoT interconnection face, as well as their impact on the overall IoT system.
Facial Emotion Recognition as Spatial Image using Gabor Filter

The state of mind of a person can be easily understood from the human face. This paper proposes a methodology to recognize facial expression using Gabor filters, ResNet and two other custom models. The image is taken as the input data from the camera. This input can be used to extract information to infer a person's mood. First, we develop an algorithm for detecting image of an individual from entire set of images using Haar Cascade face detection algorithm. Then, we apply Gabor filter for extracting facial features in the spatial domain. Using the Gabor filter can effectively reduce computation and size, and in some situations even improve recognition. Gabor filters are used to capture the entire frequency spectrum in all directions. Finally, facial expressions are successfully classified by proposed Convolutional Neural Network model using extracted important facial features from the facial image after applying Gabor filter as input. The results of testing images from the CK+ dataset show the reliability and the best recognition rate of the proposed method.
Securing of aes based on secure hash algorithm for image steganography

In this paper we tend to square measure handling Steganography victimization SHA-256 algorithmic program within the past we tend to used LSB algorithmic program. LSB(Least vital Bit) it's totally different results on 1bit and 2bit models .The use of additional bits affects the smoothness of image on stego image . Message is tough to recover if the image is subject to attack like translation and rotation. it's simple to decode to the hackers(other than WHO we tend to sent ) .Message is well lost if image is subject to compression like JPEG, however solely such image kind is accepted by this algorithmic program. thanks to these drawbacks we tend to square measure moving to SHA-256(Secure Hash Algorithm), it's a scientific discipline hash additionally called digest .It enhances the extent of security in concealment of covert information exchange and data concealing .It generates a singular 256 bits (32 bytes) code of a text ,more secure than different common hashing algorithmic program. it's quick to calculate, immune to preimage and second preimage attacks and collision resistant. LSB algorithmic program has additional probabilities to be decrypted has it's coded with prime quantity combination therefore it is decoded simply.
Contextual teaching material development model

Learning accounting so far only uses student activity sheets or books or handouts. This obviously can cause students to be vulnerable to disinterest, difficulty in learning accounting, less motivated and abstract lessons. This study aims to determine the extent, to which the process of making printed teaching materials model products is in the form of real document transactions that contextually integrate student worksheets in accounting. By designing learning experiences that are close to real-world conditions, so that they can grow knowledge and skills in the field of accounting, through innovation in creating product models of printed teaching materials that are contextually integrated with working papers in the accounting field. The method, designed in this research, is the Thiagarajan (4D) development model, which consists of the Define stage, Design stage, Develop stage, and Dissemination stage. The results showed that the product in this development research was in the form of appropriate teaching materials to support the application of the scientific approach in implementing the curriculum. Overall, the teaching materials made are real and contextual, students are motivated to learn well by using Real document transaction products because learning is like using transaction proof documents in the real industrial world
The Analysis of Politeness Strategies in Buginese Bone Language

This study was aimed to investigate the kind politeness strategies used by Buginese Bone in several situations. The source of data was verbal utterances by Buginese Bone. This study used pragmatic study especially theory of politeness by Brown and Levinson. It also used the qualitative descriptive method. The writer used observation by recording and note-taking providing the technique of collecting data. The result of the study showed that the types of politeness strategies used in Buginese Bone are; Negative Politeness, Off-record which found in the interaction between strangers, local inhabitants, family members, superior and subordinate. While, positive politeness is appeared in the interaction between friends. The implication of this research was intended for making good interaction when interacting to other people. The writers also suggest that for further research to investigate the same field in terms of semantics.
Integration Of Humanities And Digital Technologies In The Educational Process

The modern educational sphere could not function effectively without the active introduction of digital and humanitarian solutions into the processes of education and training. Such integration can lead to the all-round improvement in the quality of the educational level and the degree of formation of the competencies of the graduate of an educational organization only in case when an effective methodological platform has been created and is constantly being improved. Various technologies of both digital and humanitarian nature can act as such a platform. Initially, the term "technology" was related to the industrial sphere. Gradually, technologies were transformed from an integral part of the mechanism for ensuring production processes into an effective toolkit in the humanitarian educational sphere. Along those lines, technology acts as a method of processing information data in the process of their creative transformation, obtaining a new product, conducting various types of quality control, as well as management activities. The spread of the new coronavirus infection across all countries and continents affected the educational sphere. Educational organizations faced the problem of the earliest possible introduction of digital and innovative humanitarian technologies into the educational process. Nowadays, the pandemic restrictions require the early introduction of distance education implemented on the basis of digital technologies. The article is devoted to the analysis of the results of the implementation of digital and humanitarian technologies in the educational process, the identified problems and ways to resolve them.