Reviewerly/exHarmony huggingface dataset:
Reduce memory consumption for internet traffic classification

Application level traffic classification is an essential requirement for stable network operation and resource management. However, the classification's processing tends to face low resources when high volumes of traffic are being classified in high-speed networks in real time. Memory consumption considered to be a serious issue during classification processing time. In this paper, a data reduction method is proposed to decrease redundant data entry during the preprocessing phase with regard to accuracy classification. The proposed active build-model random forest (ABRF) eliminates redundant data-entry by utilising feature selection algorithm during the preprocessing phase. The proposed system successfully reduces the memory space of the entire classification process. The system is evaluated by comparing the proposed system against four classifiers (RF, NB, SVM and C5.0) and four features selection techniques (FCBF, SFE, Chi2 and GR). DR reported excellent results amongst the NB, C5.0 and RF. The results were optimised due to the data excluding 314,216 out of 774,013. Moreover, C5.0 consumed less memory space due to the decreased depth of C5.0 tree model. In conclusion, the DR was most effective on the RF model due to the nature of the ensemble classifier.
IMPLEMENTASI KEBIJAKAN PEMBIAYAAN PENDIDIKAN : (Studi di SMPN 1 Curup Timur, Rejang Lebong, Bengkulu)

This study aimed to find the portrayal of financing policy implementation through the management of BOS funds at SMPN 1 Curup Timur. Viewed from the problem under study, this study was descriptive in nature, and it deployed a qualitative approach. In order to obtain accurate data related to this problem, this study used two methods, observations and interviews with the principal. Once collected, the data were further analyzed by means of the following stages: Data reduction, data presentation, and conclusion drawing. The findings of this study concluded that the implementation of Education Financing Policy at SMP 1 Curup Timur was manifested in the management of BOS funds. The procurement of BOS (School Operational Assistance) funds at this school was supported by the government, and the budgets were dependent upon the number of students with the amount of one million for one student. There were almost 700 students at this school. BOS funds were distributed every 3 months, and then there were 20% of the budgets for books and infrastructure. BOS-driven education funding, especially at SMP, was already implemented in accordance with the technical guidelines and was supervised by the local government.
METHODS OF USER INTERFACE DEVELOPMENT IN WEB APPLICATIONS

The article discusses methods for developing a user interface in web applications. The interface plays a vital role in software. From a visual point of view, its design and accuracy are of paramount importance to display the exact amount of information for the intended user. Every minor decision you make when designing a user interface can have a positive or negative impact on your software. Thus, the purpose of this study was to compare user interface design methods and propose appropriate options for choosing design approaches based on case studies and research results. The study examines various design methods - user-centered design, activity-centered design, data-driven design. To better understand the similarities and differences between these three methods in a business environment, this document discusses each method in terms of its foundations, processes, and results. Based on the above description of the main characteristics of design approaches, they are presented more systematically. Taking into account the main characteristics of design approaches and what really determines them, 10 different criteria for assessing the quality of design were identified, which are important distinguishing features. A framework is provided for evaluating and comparing them to help the reader evaluate which one best suits a particular context. The structure of the processes of their application in the development of a new software product or service is presented. In practice, this analysis can be used: - as a reference list of application options for design approaches and methods, in particular for the development of software products and services. - To decide which approach and design method will be most effective in a particular context - provide links for further analysis of related aspects - human-computer interaction, user interaction, software development life cycle, software development teams design.
E-learning through covid-19 crisis in developing countries

The research aims to study E-learning through COVID-19 crisis in Developing Countries The results revealed a strong relationship between perceived ease of use, perceived benefit, infrastructure for managing cultural knowledge, and the acceptance of E-learning in Jordan
Sistem Pakar Menggunakan Metode Certainty Factor dalam Identifikasi Pengembangan Minat dan Bakat Khusus pada Siswa

Identification of the development of special interests and talents needs to be done in order to find out the potential of students. This knowledge is needed by the teacher when providing counseling guidance to students in order to know the types of special interests and talents of students. This study aims to identify the development of special interests and talents in students based on the characteristics of special interests and talents appropriately. In this study using the Certainty Factor method where this expert system can assist experts in identifying the development of special interests and talents based on the characteristics of special interests and talents in students. Followed by calculating the level of accuracy with the results of the counseling guidance teacher analysis. The results of the testing of the Certainty Factor method were successfully applied by comparing the data with the system that had been designed so that a good level of accuracy was obtained from the results of the system calculations with expert decisions of 80% of the 5 test data. This expert system application can be used as an alternative in identifying the development of special interests and talents in students
Application of Resident Administration Services in The City of Paringin Web-Based

Paringin District have an application that is still in manual form and not computerized, and searching for information is still lacking because there is on online system so it is easy for citizents to access. So it is slow in the process of adding, changing and deleting data, and seeking information, as well as other population data collection. The purpose of making an administrative service application at this eligible village office so that it can help provide alternative problem solving such as data collection the number of people who come, move, die and are born. It’s easy to get correspondence if needed quickly, get complete information for residents, safe in data storage in the long run and the data is neatly arrange in the application. The method in this study by utilizing certain techniques is with field studies and literature studies. The result of this study are a set of administrative service application software in the Layap village office of Paringin subdistrict. The conclusion of this study is that in the application design provides a lot of convenience in the data processing process in the village office.
Need Analyses of English Learning Material for Students’ Diploma Degree of Mechanical Engineering at Institute Technology of Padang (ITP)

Need Analyses have a wide definition in educational system which is used as the first step to conduct curriculum, syllabus, teaching and learning material, and others.In this case, it focuses on finding primary data about English learning material for diploma degree students of Mechanical Engineering.By doing this study, researcher collected the information about the needs toward English teaching material which is divided into three types need analyses such as; Present Situation Analysis (PSA), Target Situation Analysis (TSA), and Learning Needs Analysis.It used multiple-methods where the data were collected by questionnaire and interview and analysed both of qualitative and quantitative.The participants of this research are 28 people of Diploma degree Students of mechanical engineering in ITP, an English lecturer who taught in mechanical engineering, and 2 mechanical lecturers at ITP.The result presented the ability and interest of students in English, objectives and conditions of the using English, and the English for Specific Purposes (ESP) as approach of learning material that the students' need for their future.In brief, learning material should consider all of the aspect that is found from the need analyses result in order to relate and be relevant for the learners.Thus, the learners will be motivated and enjoy the learning process because the learning material is appropriate with them.
Building a Cybersecurity Engineering Program? Begin by Cloning Your Computer Engineering Program

Assurance Center, which has been recognized
Implementasi Model Pembelajaran Team Game Tournament (TGT) Untuk Meningkatkan Hasil Belajar Siswa

This study aims to: (1) find out how to apply the Team Game Tournament (TGT) type cooperative model in learning mathematics. (2) determine whether using the cooperative model type Team Game Tournament (TGT) can improve student mathematics learning outcomes. The type of research used is Classroom Action Research (CAR). The sample in this study were all grade V students of SD Negeri 1 Plumbon in the academic year 2019/2020 as many as 24 students. The instruments used in this study were observation, documentation and student achievement tests&#x0D; Based on the results of the study, it was concluded that: the use of a cooperative model type Team Game Tournament (TGT) can improve student learning outcomes in mathematics class V SD Negeri 1 Plumbon. This can be shown in the final cycle test results obtained a significant increase in value, meaning that the learning process of mathematics using the cooperative model type Team Game Tournament (TGT), the class average value has increased with the results in the pre-cycle of 51.625; cycle I amounted to 63.75 and cycle II amounted to 75.625. With the percentage of completeness in the pre-cycle of 29.17%, the first cycle of 50% and the second cycle of 79.17%.
Sistem Pengenalan Spesifikasi Mobil pada Showroom Berbasis Haar-Like Features

Changes in science and technology have affected the structure of societies and have led to rapid change in human profile. In order to adapt to the changing human profile, reforms in advertising as well as scientific and technological enrichment in advertisement environments have become necessary. This study aims to investigate the impact of advertisement materials developed with augmented reality (AR) technology on car specification presentation and attitudes towards the advertisement, and to determine their attitudes towards AR applications. In this study, AR application was developed using haar-like features method for marker detector. A quasi-experimental design was used in which intact showroom at two different location, consisting of a total of one hundred customers, were randomly assigned to either the experimental or control group. The experimental group researched their selected car using AR technology, while the control group researched their selected car using traditional methods and the help of salesman. Customers in the experimental group were found to have higher understanding and slightly faster to learn about the car than those in the control group. In addition, the results revealed that the customers were pleased and wanted to continue using AR applications in the future. They also showed no signs of anxiety when using AR applications. In addition, it was found that advertisement achievements and attitudes of the customers in the experimental group showed a positive, significant and intermediate correlation.
Microthermometric Considerations for the Kanif (SE Birjand) and Basiran (SW Birjand) Manganese Prospects, Birjand, South-Khorasan, Eastern Iran.

Two manganese prospects were studied. The Kanif prospect is hosted within an ophiolitic complex located 110 km southeast of Birjand, Southern Khorasan province (eastern Iran). The ophiolitic sequence in this region hosts manganese ore occurring as small discrete patches associated with radiolarian cherts. Ore minerals identified by XRD methods and petrographic studies are pyrolusite, hematite, and goethite showing replacement, colloidal and brecciated textures. Carbonate and silica are the gangue minerals. Based on the ICP-ES-MS methods, the average grade of Kanif is 33.92% Mn. Fluid inclusions hosted by calcite from Kanif demonstrate that the ore-forming solutions had salinities within the range of 0.5-4.5 wt% NaCl eq., homogenization temperatures within the range 100-220˚C and densities of about 0.8-1 g/cm3. Pressure is estimated to be about 50 bars, corresponding to a depth of ~150 meters at the time of formation. The Basiran prospect features veins/veinlets and is located 212 km SW of Birjand, Southern Khorasan province (eastern Iran). These veins/veinlets are hosted by andesitic rocks of Eocene to Oligocene age. Ore minerals identified by XRD methods and petrographic studies are pyrolusite, psilomelane, hematite, goethite and limonite, displaying colloform and open-space filling textures. Gypsum, carbonate and silica are the gangue minerals. Alteration zones, specifically argillic alteration zone, are developed along the veins/veinlets within the andesitic wall rocks. Based on the mineralogical and geochemical data, the primary manganese minerals were Mn oxides and hydroxides, which have gradually been converted to psilomelane and finally pyrolusite. The average Mn grade within the veins/veinlets is 25.95%. Fluid inclusion data show that the ore-forming solutions had salinities within the range of 0.5-5.5 wt% NaCl eq., TH range of 120-220˚C and density about 0.8-1 g/cm3. The pressure was estimated to be less than 50 bars, corresponding to a depth of ~150 meters and a hydrothermal origin. This study focused on investigation of fluid inclusions based on petrography, variety, morphologies, salinity and homogenization temperature for different styles of manganese prospects. Kanif is located in Sistan zone and Basiran is located in lut block. Results and Interpretation of microthermometric data suggest hydrothermal origins for both the Kanif and Basiran Mn prospects.
DEVELOPMENT OF AN INTERACTIVE MUSEUM APPLICATION USING Augmented Reality TECHNOLOGY

The results of the development of an interactive museum application using augmented reality technology based ontools from the Vuforia environment and the Unity graphic core are presented. The application makes it possible to analyzeand recognize real objects (for example, museum exhibits) that were previously added to Vuforia services for registeringimages. The application has been tested for different mobile devices on iOS and Android platforms. The prospects forusing the proposed application are determined.
Cultivating the Ideal Teamwork through Real Software Development Project Experience

It is proven by many studies that software project failures are driven by not just from a single reason but multiple factors, combined and somehow closely related to each other. Basically, failure in projects is when the software developed is not delivered within time, within stipulated budget and of poor quality. All these rooted from poor project management and certainly in agreement with findings reported in the literature. Realizing the importance of this aspect in ensuring software project success, this paper presents our efforts in preparing future software practitioners to become readily equipped especially with teamwork essence through gaining real project work experience with the industry. Emphasizing the application of Teamwork Quality (TWQ) constructs, we invited several software houses to be part of our teaching plan and assigned our students in 12 teams from SSE4301 course to the projects initiated by each company. 14 weeks duration of coursework were given to these students to carry out their projects and at week 15 they delivered a presentation of their product in front of the industrial supervisors, lecturers and the rest of the class for assessment. Our premise is ideal teamwork influences the success of a software project. We believe this small effort capable to instill and cultivate ideal teamwork among the students when dealing with real clients and different set of expectations. Apart from that, we hope the implementation of our teaching plan that incorporated the industry involvement directly would be able to transform and elevate the landscape of teaching and learning we have been practicing for all these years.
An Optimal Feature Selection with Wavelet Kernel Extreme Learning Machine for Big Data Analysis of Product Reviews

In recent times, generation of big data takes place in an exponential way from diverse textual data sources like review sites, media, blogs, etc. Sentiment analysis (SA) finds it useful to classify the opinions of the big data to different kinds ofsentiments. Therefore, SA on big data helps a business to take beneficial commercial understandings from text based content. Though several SA approaches have been presented, yet, there is a need to improve the performance of SA to interpret the customer’s feedback and increase the product quality.This paper introduces a novel social spider optimization based feature selection based wavelet kernel extreme learning machine (SSO-WKELM) model. The proposed model initially undergoes pre-processing to remove the unwanted word removal. Then, Term Frequency-Inverse Document Frequency (TF-IDF) is utilized as a feature extraction technique to extract the set of feature vectors. Besides, a social spider optimization (SSO) algorithm is utilized for feature selection process and thereby achieves improved classification performance. Subsequently, WKELM is employed as a classifier to classify the incidence of positive or negative user reviews. For experimental validation, a Product review dataset derived from Amazon along with synthetic data is used. The experimental results stated the superior classification performance of the SSO-WKELM model.
NdRAdAC: Need based Access Control Framework for an Emergency Response System

Access control is easy to implement in a static system with resource-role mapping and known policies. It becomes challenging if the system is dynamic and volatile, which means there are unpredictability in the workflow. Existing role based and attribute- based access control systems are very efficient in static and predictable situations. But they are not effective in a dynamic situation. Researchers over the last two decades have tried to propose various probabilistic based, machine learning based and decision theory-based access control to prove adaptability in their access control methods. But there are existing gaps in operational needs and proposed adaptability methods. Under regular scenario access control system may work based on the policies or decided roles. Only if there is a genuine need, then access control should switch to adaptable solutions. Also, a true adaptable system should not allow human intervention, the system should be able to understand the genuineness of the requester and take decisions whether access should be granted or not. In this paper with the help of a disaster management case study, a need-based access control framework – NdRAdAC is proposed. It evaluates the genuineness of the requester and acts appropriately. An ontology-based access control for an emergency response system is developed, which can help the disaster management system to coordinate with different hospitals and help in transferring patient data from one hospital to another if needed. It ensures that data requester is authenticated with the help of access control module. The framework is tested for three main parameters: Adaptability, Consistency and Computational Efficiency. It was found that framework was accurately adaptable, consistent with all the different types of cases and computationally efficient.
USING OUTLINING STRATEGY IN ESSAY WRITING FOR ELT STUDENTS’

This research discusses the outlining strategy that applied in the ELT students’ essay writing class 2019 A English Education Program STKIP PGRI Sidoarjo which amounted to 10 students. The instruments used in this study were checklist observation and questionnaires. The data technique used is qualitative data, where the data will be described. The first research instrument, the researcher used a checklist observation form for implementation assessment by observing the class writing essays and participating in learning activities from beginning to end whose data was described in a table with a tick, the results showed that many activities were carried out by students in the classroom to improve their abilities in writing essays through an outlining strategy. The next instrument is a questionnaire for response assessment, the researcher asks for data from ELT students via a google form containing 15 yes or no questions. The results of the questionnaire showed that 90% of students answered yes, and 10% of students answered no. The results showed that the implementation and response of students were very positive and good during the learning activities to write essays using the outlining strategies of ELT students.
Evaluating Neural Model Robustness for Machine Comprehension

We evaluate neural model robustness to adversarial attacks using different types of linguistic unit perturbations -character and word, and propose a new method for strategic sentencelevel perturbations.We experiment with different amounts of perturbations to examine model confidence and misclassification rate, and contrast model performance with different embeddings BERT and ELMo on two benchmark datasets SQuAD and TriviaQA.We demonstrate how to improve model performance during an adversarial attack by using ensembles.Finally, we analyze factors that affect model behavior under adversarial attack, and develop a new model to predict errors during attacks.Our novel findings reveal that (a) unlike BERT, models that use ELMo embeddings are more susceptible to adversarial attacks, (b) unlike word and paraphrase, character perturbations affect the model the most but are most easily compensated for by adversarial training, (c) word perturbations lead to more high-confidence misclassifications compared to sentence-and character-level perturbations, (d) the type of question and model answer length (the longer the answer the more likely it is to be incorrect) is the most predictive of model errors in adversarial setting, and (e) conclusions about model behavior are dataset-specific.
Numerical experiments on stochastic block proximal-gradient type method for convex constrained optimization involving coordinatewise separable problems

In this paper, we consider convex constrained optimization problems with composite objective functions over the set of a minimizer of another function. The main aim is to test numerically a new algorithm, namely a stochastic block coordinate proximal-gradient algorithm with penalization, by comparing both the number of iterations and CPU times between this introduced algorithm and the other well-known types of block coordinate descent algorithm for finding solutions of the randomly generated optimization problems with regularization term.