Reviewerly/exHarmony huggingface dataset:
The Effect of Parenting Toward Students Mathematics Learning Achievement on Grade VII Students of SMPN 4 Sungguminasa

This research is an Ex-post Facto research with a quantitative approach and a comparative causal research design. This study aims to determine whether there is a parenting effect toward students mathematics learning achievement on grade VII students of SMPN 4 Sungguminasa. The population used in this study were all students on grade VII of SMPN 4 Sungguminasa, there are 349 students. The sample in this study was 64 students. Sampling using a random sampling technique. Data collection used the questionnaire and documentation method. Before data analysis, first do testing of the analysis requirements includes the normality and homogeneity tests. The data analysis technique used to test the hypothesis is Analysis Variant (ANOVA) with one way type (One Way Anova). The results showed that there was a parenting effect toward students mathematics learning achievement on grade VII students of SMPN 4 Sungguminasa. This is indicated by the value of Fcount (31.375)&gt;Ftable (3.32) and the Sig value is 0.000 &lt;0.05 which means that there are significant differences in mean of all parenting groups.
Simulation of the Cardiovascular Mechanical System Based on Pressure-Flow Model Rest Condition

Non-invasive measurement method has made rapid developments in the field of biomedical engineering. One of research is impedance cardiography (ICG), which provide information of pulsation basic. By knowing this kind of measurement technique, it will assist inspection of the patient's physiological condition with cardiovascular system. This research is aimed to determine the mechanical characteristics of the cardiovascular system in the human body such as a wave graph of pressure, flow, and volume, based on pressure–flow model in rest condition, and analyze the simulation results by implementing state of the physiology cardiovascular disease. To obtain the wave chart that is modeled by the cardiovascular system using a lumped parameter method, formulate the differential equations of the pressure–flow dynamics equation for an incompressible fluid in a segment of a cylindrical elastic tube and simulate the model using the Simulink toolboxes from Matlab R2008b. The simulation with lumped parameter method resulted wave graphics of pressure, flow, and volume of physiological state a person in rest condition, the left ventricular pressure is 120 mmHg , right ventricular pressure is 30 mmHg , left ventricular outflow is 800 mL / sec and volume in the left ventricle is 160 mL . By implementing the simulation have been developed on the physiological state of cardiovascular disease, hypertension occurs when the arteries resistance R3i = 0.61 mmHg × s mL with the pressure of the left ventricle is 145 mmHg. For coronary heart condition, ventricular pressure decreased until 82 mmHg in the value of the coronary arteries resistance is R3o = 0.852 mmHg × s mL. This research assumed heart haves the character of passive because there is no feedback signal that can compensate if the pressure in the systemic circulation is reduced. The research can be concluded that the graph from simulation shows the results are not much different from the reference chart, this results indicates that the equation and the simulation was able to reflect on the human circulatory physiological circumstances. A little different of a graphic simulation result due to differences in the parameters and assumptions used.
Pedestrian Attribute Recognition Model based on Adaptive Weight and Depthwise Separable Convolutions

Pedestrian attribute recognition is a technology that uses computer vision technology to determine some observable external characteristics of pedestrians in an image or video sequence, such as gender, age, clothing, and equipment, etc. It is widely used in many fields, such as intelligent security, clustering based passenger flow statistics in public places, human-computer interaction, album clustering and so on, It has high research value in the field of computer vision. Due to the complexity and diversity of pedestrian attributes, the convergence rate of each attribute is not consistent in the process of model training. Therefore, the manual training with fixed weight set by experience cannot adapt to the diversification of attributes, resulting in poor performance of the model. In recent years, in some researches, a multi-branch model is usually needed to solve this problem through multiple trainings. This method has a lot of parameter redundancy, which affects the efficiency of the model. The aim of this paper is to improve the accuracy by using a dynamic adaptive weight loss model without multiple branches in a single training. The depthwise separable convolutions is used to further improve the model recognition efficiency. After training in the PETA dataset and adding dynamic adaptive weight loss, the accuracy of the model is similar to that of some multi-branch models, and the recognition efficiency is greatly improved.
Heuristic Algorithms of Coincidence for the Estimation of Movements in Compression of Images

The NP-Completeness theory states that exact and efficient algorithms are unlikely to exist for the class of NPdifficult problems.One way to deal with NP hardness is to relax the optimality requirement and look for solutions instead that are close to the optimum.This is the main idea behind the approximation algorithms, which are called heuristic or metaheuristic.The problem of motion estimation is a process with a high degree of computational complexity, it requires sufficient memory space and execution time.It represents the cost of static, dynamic and video image sequence coding.The main task is to minimize the distortion rate and improve visual quality.This makes research in the field of coding, image compression and video focus on finding efficient algorithms to carry out the estimation of movement in a reasonable time.If a list of images of n elements is analyzed, there are feasible solutions.So, an exhaustive search is too slow, even for small values of the solution space.Therefore, from a practical point of view, it is crucial to have efficient and fast heuristic algorithms that avoid thorough search.In this investigation we design and implement heuristic algorithms, based on the frequency domain, which are applied on the coefficients of the discrete transform of the cosine and wavelets.Also, we propose temporal domain algorithms such as block-matching algorithms, which focus your search on the maximum coincidence of the current image with the reference one.The algorithms used during the implementation of this research work were written with the mathematical programming language MATLAB.In addition, we review the basic concepts of image processing, video, compression algorithms and motion estimation frequently used.The evaluation of the algorithms was carried out with a set of images provided by a previous acquisition system.We show the improvement of visual quality, the amount of compressed or reconstructed information and the behavior of the methods in the search for similarities between pixels or images.Finally, we contribute to the dissemination of new lines of scientific research that lead to the expansion and improvement of the study, the generation of new knowledge, since it is a young area within the Education discipline of Nicaragua.
Analysis of the classification of terrorist attacks in Indonesia

Terrorist attacks are now being global issue both in developing and developed countries. There are more than 180,000 terrorist attacks in 1970-2017. Indonesia is one of the countries attacked by terorist. Bombings and firearms cause fatalities. Classification of terorist attacks can be performed based on either the attack succed or not. Succed attack is defined as an unavoided action that caused fatalities. There are seven attributes studied in this paper: year, month, attack type, terorist name, target attack, city, and weapon type uses to attack. Evaluations shows that k-NN classiefier exerts the highest accuracy of 90.79%, followed by naÃ¯ve bayes 80.45%, and C4.5 of 88.825%.Keywords: Indonesia Terrorist, Classification Algorithm, Terorist Algorithm Classification.
Migrant Remittances and Economic Growth: The Role of Financial Efficiency

The objective of this paper is to examine the relationship between migrant remittances and economic growth by considering the role of financial efficiency in 34 African countries from 1995 to 2016. The methodology is based on a GMM system model and a Pooled Mean Group (PMG) on a sample of 34 African countries. The empirical results show us the following conclusions: (i) Migrant remittances and financial efficiency have a positive impact on economic growth. (ii) The interaction between remittances and financial efficiency has a negative impact on economic growth. (iii) Migrant remittances have a long-term impact on economic growth. (iv) The combined effect of migrant remittances and financial efficiency has a negative impact on economic growth. Moreover, this impact is more pronounced in low-and middle-income countries. To better benefit from migrant remittances, recipient countries need to focus on financial development.
Nurses Assessment Accuracy And Self Confidence In Performing SALT Triage

Introduction: The nurses' assessment accuracy and confidence in the handling of mass victims of traffic accidents in the prehospital phase was an important success key of subsequent handling of victims when taken to the hospital, and vice versa if there was an error in providing help could be fatal for victims. The purpose of this study was to determine the comparison of face-to-face and watch video simulations of the assessment accuracy and nurses’ confidence in conducting prehospital disaster triage of victims of land traffic accidents using the SALT Triage model.Research Methods: Quasi experimental research with nonequivalent control group design. The sample size was 32 nurses who were divided into 2 groups, namely the face-to-face simulation group and the watch video SALT Triage simulation group. The samples were taken by non-random sampling with purposive sampling technique. Data analysis used was Paired t test and Independent t-testResults: There was no difference in the average nurses’ assessment accuracy and confidence in the face-to-face group with the group watching the simulation video. Statistical test results obtained p value&gt; α = 0.05Conclusion: The sorting mass victims of the SALT Triage model can teach nurses by providing face-to-face or watching a simulation video about SALT Triage. Both ways were equally good at conveying information
Time Series Forecasting: A Hybrid Neuro-Fuzzy-Particle Swarm Optimization Model

Forecasting is very important for planning and decision-making in all fields to forecast the conditions and cases surrounding the problem under study before making any decision [21].Hence, many forecasting methods have been developed to produce accurate forecasting values, reduce the degree of randomness, the changes that affect the time series, and non-linearity of data.In this proposed research,A Hybrid model (Neuro-Fuzzy-PSO) to forecast Time series.The proposed Hybrid model in the first stage after data initialization generate fuzzy inference system(FIS) by NEURO-FUZZY, which use grid partition method, Fuzzy C-Mean (FCM), and subtractive clustering.In the second stage trains the model NEURO-FUZZY by back propagation method, Hybrid method, and PSO method.The Revenue Tax data taken from the Republic Yemen during the period 2000-2014 as a data of time series to achieve, ministry of Finance.The performance of the proposed forecasting system is evaluated using common statistical standard measures such as Mean Absolute Error (MAE), Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and The linear repression.Also, the forecasting results obtained are compared with all models used.Experimental results showed that the hybrid model Neuro-Fuzzy-PSO of forecast reduces the degree of randomness, the changes that affect the time series, and non-linearity of data.The results for real data sets under consideration clearly prove that the hybrid model (generation by subtractive method and PSO training) is able to outperform each components model used separately in terms of increasing the forecasting accuracy and decreasing the overall forecasting errors.
AN ANALYSIS OF TRANSLATION DIFFICULTIES ON BARRACK OBAMA’S SPEECH TEXT AT SIXTH SEMESTER STUDENTS OF MUHAMMADIYAH UNIVERSITY OF TANGERANG

English is international language that used by people in this world to get something like knowledge, information, and communication. In Indonesia, English used as school subject because English is important to students’ future in their careers, especially interaction with foreigner, because in Indonesia many interesting destination for foreigner, media and technology use English to inform the information or knowledge. Those are reasons, Indonesian must be able to understand English especially in words meaning in English, because translation is important to know information which use English media. ). For this research, the researchers use descriptive analysis research. The researchers directly find accurate data of difficulties in translating from source language into target language or SL into TL. The researchers have got students’ test result, based on the result it shows that the students still confuse to convey the meaning from source language, the students translate the text word by word and the meaning not deliver, and the researchers have got students’ test result, based on the result it shows that the students could not to use equivalent, they still lack of vocabulary mastery, they could not translate the sentence, because in English one word has many meaning, and confuse how to use equivalent words in translation that they states from interview “i still lack of vocabulary mastery” and “in English one word many meaning thus we could not translate the sentence because depend on the topic”.
Detection of Attacks on Apache2 Web Server Using Genetic Algorithm Based On Jaro Winkler Algorithm

Web server is software that provides data services in the form of HTTP (Hypertext Transfer Protocol) requests and responses in the form of HTML documents (Hypertext Markup Language) with the aim of managing data in the form of text files, images, videos and files. But in managing large amounts of data, good security monitoring is needed so that the data stored on the web server is not easily hacked. To protect the web server from hackers need an application to detect activities that are considered suspicious or possible hacking activities. By utilizing logs from a web server that is processed using the Jaro Winkler algorithm to see hacking attempts that produce a matrix and hacking activity reports to the admin. Thus the web server admin can see suspicious activity on the web server directly.Keywords: Web Server, Jaro Winkler Algorithm.
A Detailed Study on Android Chat Applications and XMPP Protocol

Today with the vast technological advancements in the various means of communication, instant messaging applications play a very crucial role in the transmission of messages from one user to another who will be residing at different locations at a minimal cost or with the support of the internet facility. With the advancements in technology comes the need to secure applications from malicious attackers who try to steal user credentials or may also cause passive attacks on the network. The chat application uses the XMPP server for the secure transmission of messages between the users. The defense organizations need a more secure chat application for communicating in a highly confidential manner. Therefore we try to propose a smart and secure chat application for the defense organization. Many existing Android chat applications are compared to analyze their features, security principles, and flaws to bring forward an innovative and secure android chat application.
Implementing Process Approach to Improve the Ability of Writing Narrative Text of the First Semester Students Majoring Food and Beverage Study Program in Balikpapan State Polytechnic

The study was aimed to know (1) How is the improvement of students’ learning behavior during the implementation of process approach to write narrative text? (2) How is the improvement of the students’ writing ability after the implementation of process approach to write narrative text?. The purpose of this study was to improve students’ learning behavior and ability in writing narrative text through Process Approach. Research design used in this study was Classroom Action Research (CAR), this study was conducted in two cycles, and each cycle consists of planning, implementing, observing and reflecting. The data of this study were obtained by writing test and observation on the students’ writing behavior and the researcher performance in implementing process approach in the classroom.The result of this study showed that there is 77.08% of students improved their learning behavior in cycle II, the result of writing test in cycle II showed that there were 23 students or 72% of students who scored greater than or equal to 70. This study also showed that the average score of students’ writing score was improved from 62.81 in cycle I to 70.63 in cycle II. According to the result of this study it is concluded that implementing process approach in teaching writing can improve students’ learning behavior and also improve their ability in writing narrative text.Keywords Writing, Process Approach, and Narrative Text
The Impact of E- Marketing on the Tourism Sector in Jordan Case Study

The study aimed to identify the impact of electronic marketing on the tourism sector in Jordan, where the sample consisted of ( 120) workers in the Ministry of Tourism and Antiquities in Jordan.A questionnaire was distributed to them as a study instrument to collect the needed data.The descriptive analytical method was used.The study concluded that the electronic promotion, E-pricing and website have a statistically significant effect on the tourism sector in Jordan.The study recommended setting strategic plans for electronic marketing to develop the tourism sector in Jordan, in addition to paying attention to electronic marketing, by linking all tourism sectors in the public and private sectors with an electronic network by providing a comprehensive database of the Jordanian tourism product.
Increased Numeracy Skills of Children with Snakes and Ladders Game

This research aims to improve the ability to count 4 - 5 years old children with snakes and ladders in group A PAUD Dahlia. The method used in this research is collaborative classroom action research using Kemmis and Mc Taggart's models. CAR is implemented as an effort to overcome problems that arise in the classroom. Method is carried out in four stages, are planning, action, implementation, and reflection. The subjects of the study were students of group A PAUD Dahlia, ten (n=10) children. The object of this study is the ability to count 4 - 5 years old children. Data collection method used is observation. Technical data analysis was done in a descriptive qualitative and quantitative manner. The established success indicator is that at least 75% of 10 children reach the counting ability. This research was conducted in two cycles. The results of the study indicate that the numeracy skill has increased. Increased numeracy skills can be seen from the indicator ability to count objects 1-10, recognize the concept of numbers, recognize symbols 1-10, mention symbols 1-10, matching numbers with symbol numbers. Increased numeracy skills of children aged 4-5 years with snakes and ladders in the implementation of pre-action 31, 5%, and in the first cycle increased to 51.5%, because it is still less than the success criteria that should be carried out then the next action is cycle II and increased greatly good by getting a percentage of 85%. Many games for children was suggested for increase numeracy skills.
Aplikasi Pemesanan Ambulan Berbasis Web

One of the transportation in an emergency situation is an ambulance provided by the Department of Health for health facilities in the community.Useful to assist the community in providing first aid and intensive care while the patient is on his way to the referral hospital.As for the complaints experienced by the public at this time is the difficulty in ordering an ambulance.While the hospital often has difficulty in finding the location of the community who made an ambulance booking.One of the innovations in hospital health services by utilizing the development of information technology is by making a "Web-Based Ambulance Application".The aim is to make it easier for patients / customers to be referred to the nearest hospital that has the appropriate facilities for the need for effective medical treatment to get emergency response ambulance services quickly and accurately through addresses for patient pickup.The benefits obtained from this application are easier for patients to access the nearest hospital location, and increase patient / community satisfaction with health services.The method used in developing this application is the waterfall model and through analyzing the needs of PIECES (Performance, Information, Economics, Control, Efficiency, Service) in finding the main problem.
Pengembangan Lembar Kegiatan Peserta Didik (LKPD) Berbasis Pendekatan Saintifik Mata Pelajaran Humas dan Keprotokolan Semester Gasal Kelas XI OTKP Di SMK YPM 3 Taman

The purpose of this study is to analyze the feasibility of Student Activity Sheets (LKPD), describe the process of developing LKPD, and we can find out the responses of students in the Office Management Automation expertise program developed by LKPD. R&amp;D with the 4D development model is the method used in research. And the limitations of this research are only at the development stage. A total of 20 students of class XI OTKP 3 SMK YPM 3 Taman became the subject of his research. The LKPD validation sheet includes the validation sheet for linguists, graphic experts, and material experts as well as students' response sheets obtained using research instruments. The stages of defining, designing, and developing are the research processes carried out at the stages that are in accordance with the 4D development model. Because the purpose of the research is only to develop and produce Student Activity Sheet (LKPD) products, the distribution phase is not carried out. The average results of the overall validation of experts on the feasibility of LKPD was 78.59% which included a component of language worthiness with a score of 72.86%, graphic worth 81.3%, and material eligibility 81.6%. By obtaining a score of 91.83% in the analysis of student responses with very good criteria, the developed LKPD can be used to support the learning process of PR and Protocol subjects very well as teaching material.
SISTEM INFORMASI AKUNTANSI PENENTUAN HARGA POKOK PRODUKSI DENGAN METODE JOB ORDER COSTING SEBAGAI PENENTU HARGA JUAL BERBASIS WEB

Accounting Information System is a system that provides an information technology-based accounting process. Determination of the cost of production in a company requires the right method, because the cost of production is one of the factors that can influence the determination of the selling price. The cost of production is also used to determine the magnitude of the profits obtained by the company.Manufacturing company which is a company engaged in the process of raw materials into finished goods, requires basic materials that are used as the main ingredients in the production process.This study aims to determine how the application of the Job Order Costing method is a method of collecting production costs to determine the cost of production at the company on the basis of orders.&#x0D; The method used in this study uses a research and development (R&amp;D) model, which is the method used to produce certain products, and test the effectiveness of the product. In this study using the PHP programming language and MySQL for the database