Application Package Research Articles

An Analysis Of SAW, WP And TOPSIS Methods In Determining The Best Employees At The Department Of Horticulture And Plantation Crops Of Bengkulu Province

The Department of Horticulture and Plantation Crops of Bengkulu Province is one of the Government Agencies in Bengkulu Province, where the office has implemented Information Technology which is used to assist the data processing. Every The Department of Horticulture and Plantation Crops of Bengkulu Province conducts employee performance assessments. In accordance with Government Regulation of the Republic of Indonesia Number 30 of 2019 concerning Performance Assessment of Civil Servants Part Three Article 41 Point (2) The performance appraisal of civil servants as referred to in paragraph (1) can be carried out by giving each element of the assessment a weight of 70% for the SKP assessment and 30% for work behavior assessment or 60% for SKP assessment and 40% for work behavior assessment. At The Department of Horticulture and Plantation Crops of Bengkulu Province, it uses the weight of the PNS performance assessment with 60% for the assessment of SKP and 40% for the assessment of work behavior. In the process of managing the data, computerization has been used through the Microsoft Office application package. The application for determining the best employees based on employee performance appraisal data at The Department of Horticulture and Plantation Crops of Bengkulu Province was made to help facilitate the Department in determining the best employees through 3 (three) decision support system methods, namely the SAW, WP, and TOPSIS methods. Comparative analysis of the 3 methods SAW, WP and TOPSIS went through 3 stages, namely processing time, final assessment results and sensitivity tests carried out. Applications for determining the best employees based on employee performance appraisal data at The Department of Horticulture and Plantation Crops of Bengkulu Province were built using the Visual Basic .Net programming language and SQL Server 2008 database. Based on the black box testing that has been carried out, the results show that the functionality of the application for determining the best employees based on employee performance appraisal data at The Department of Horticulture and Plantation Crops of Bengkulu Province runs as expected and the application is able to display the results of comparative analysis of the SAW, WP and TOPSIS methods and is able to display sensitivity test results.

A Review of Tisotumab Vedotin-tftv in Recurrent or Metastatic Cervical Cancer.

To evaluate the safety and efficacy of tisotumab vedotin-tftv (TV), a first-in-class vectorized anti-tissue factor (TF) antibody-drug conjugate (ADC), for the treatment of recurrent or metastatic cervical cancer. A literature search of ClinicalTrials.gov, Embase, and PubMed was conducted using the terms tisotumab vedotin AND cervical cancer from inception to June 30, 2022. All applicable publications, package inserts, meeting abstracts, and clinical trials involving TV in the treatment of cervical cancer were reviewed. TV is a fully human TF-specific monoclonal antibody conjugated to monomethyl auristatin E, which serves as a highly potent cytotoxic payload. In the pivotal phase II InnovaTV 204 clinical trial, TV demonstrated an objective response rate of 24% (95% confidence interval [CI], 16%-33%). The mean duration of response was 8.3 months. Common toxicities included abdominal pain, alopecia, conjunctivitis, constipation, decreased appetite, diarrhea, dry eye, epistaxis, nausea/vomiting, and peripheral neuropathy. Unique and/or serious adverse events warranting careful monitoring include ocular complications, hemorrhaging, peripheral neuropathies, fetal-embryo toxicity, pneumonitis, and immunogenicity. Recurrent or metastatic cervical cancer remains a high-risk disease with limited treatment options. Using ADCs to target tumors with aberrant expression of TF appears to be a viable treatment strategy. TV is the first Food and Drug Administration-approved TF-directed ADC. With a manageable safety profile and promising anticancer activity, TV warrants consideration as a novel targeted agent for the treatment of recurrent or metastatic cervical cancer. Further studies are required to determine the optimal place in therapy for TV.

Improving the Learning and Teaching of Mathematical Logic Elements Using Maple

The study of the elements of mathematical logic and its sections, especially in the process of teaching in high school in general and specialized courses of mathematics or higher educational institutions, is a rather tricky task. The paper demonstrates how one can design and develop a package of interactive applications to help learn, understand, and apply the essential elements of mathematical logic. The research aims to develop and describe an interactive application for studying the order of constructing truth tables and studying and demonstrating the production of principal normal disjunctive and conjunctive forms. The development is based on the methods of the Maple computer algebra system of the Maplet library. In addition, other methods are used to solve the research issues – theoretical and accurate analytical solutions to mathematical logic issues. All constructed material (Maplet) will serve as a good simulator for students, allowing one to perform an infinite number of attempts to analyze, synthesize, and build truth tables.

Broad band flux-density monitoring of radio sources with the Onsala twin telescopes

The Onsala twin telescopes (OTT) are two 13 m telescopes located at the Onsala Space Observatory in Sweden. With dual linear polarized broad-band (3-14 GHz) receivers, they are part of the next generation Very Long Baseline Interferometry (VLBI) Global Observing System (VGOS) for geodesy and astrometry. In addition to purely geodetic data products, VGOS will regularly produce full-polarisation images of hundreds of radio sources. These rich monitoring data will be valuable for both astronomy and geodesy. In this pilot study we aimed at monitoring ten bright radio sources to search for flares or similar activity, and at testing the instrument calibration on long (months) and short (hours) time scales. Using the OTT as a standalone instrument, we observed and analysed 91 short (<30 min) sessions spanning seven months. We monitored seven potentially variable radio sources (0059+581, 0552+398, 1144+402, 1156+295, 1617+229, 3C418, OJ287) and three reference calibrators (3C147, 3C286, 3C295). We used the Common Astronomy Software Applications (CASA) package to fringe-fit, bandpass-correct and scale the data to obtain flux densities in the four standard VGOS bands: 3.0-3.5 GHz (band 1), 5.2-5.7 GHz (band 2), 6.3-6.8 GHz (band 3), and 10.2-10.7 GHz (band 4). We obtained simultaneous multi-frequency light curves for ten radio sources. A bright multi-frequency flare is observed in the radio source 0059+581. OJ287 and 1156+295 show significant long-term variability in their light curves. After correcting for instrumental biases, we determine the empirical flux density uncertainty as sim5 %.

The Implementation Of Teacher Performance Assessment Through Promethee Method Approach (Case Study At Smkn 5 Seluma)

SMK Negeri 5 Seluma is one of the Vocational Schools in Seluma Regency, Bengkulu Province. At the school in every year a Teacher Performance Assessment or what is often referred to as PKG is carried out. There are 14 assessment criteria for teacher performance which are divided into 4 categories of assessment, namely Pedagogic, Personality, Social and Professional. So far, the processing of teacher performance assessment data has used the office application package, namely Excel (data attached) to provide grades and calculate the PKG scores obtained by the teacher in accordance with the applicable provisions. The implementation for assessing teacher performance at SMK Negeri 5 Seluma using Promethee Method was created using the Visual Basic.Net programming language (IDE Visual Studio 2010) and SQL Server 2008 database. The application for assessing teacher performance at SMK Negeri 5 Seluma it can be used as an alternative in helping to assess assessment of teachers in schools, so that it can be seen who has the best performance based on the ranking results obtained from the promethee. The application for assessing teacher performance at SMK Negeri 5 Seluma has applied Promethee method, so that the final assessment results for each teacher have gone through the calculation procedure for the Promethee method. The final assessment results will be sorted from the highest value to the lowest value by looking at the net flow value which is the result of subtracting the leaving flow and entering flow. Based on testing using 5 (five) teacher performance assessment data in 2019, the results obtained that Guru Isuadi, S.Pd got the highest score with a leaving flow value of 1.63, entering flow 1.63 and net flow 1.63. Based on the results of the same assessment on manual calculations, it is found that the results of calculations on the decision support system had the same value as the results of manual calculations that had been carried out. Applications can be used as an alternative in providing an assessment of teacher performance in schools.

CHARACTERISTICS OF INTER-SYSTEM INTERACTIONS BETWEEN MORPHOTYPE AND NEURODYNAMIC OF STUDENTS WITH DIFFERENT BMI LEVELS

Purpose. To study morphotype and neurodynamic peculiarities and their intersystem relationship in students with different BMI levels living in Khanty-Mansi Autonomous Okrug – Yugra.&#x0D; Materials and methods. The research covered 174 first-year students of Surgut State Pedagogical University: 33 male and 141 female students. The study was conducted on a voluntary basis, with written informed consent to be examined. Anthropometric indices, body composition (Tanita BC-601), neurodynamic parameters (“NS-PsychoTest”) were evaluated. Statistical analysis was performed using the application package Statistica 7.0 (StatSoft, USA).&#x0D; Results. Students with different BMI levels did not differ significantly in body length. The differences in mean body weight of the examined students (with low and high BMI values) were due to the combined increase of fat mass (49.6%) and muscle mass (34.3%) in the males and the predominant increase of fat mass (96.7%) in the females, as well as to a decrease of body water content (by 23.4% in the females and 12.1% in the males). The neurodynamic characteristics of the students surveyed reflect statistically greater velocity-strength performance in young males, with less reliability in the executive systems of neurodynamic reactions. The obtained results indicate a strong correlation between morphotype and neurodynamic indices in students with low BMI (R=0,77; χ2=78,527, p=0,016), and a moderate strength relationship in the groups with medium and high BMI (R=0,64; χ2=84,688, p=0,036 and R=0,61; χ2=78,040, p=0,028 respectively).&#x0D; Conclusion. Values of the morphological indices of the examined students reflect the prevalence of meso- and macrosomatotypes. There is a prevalence of anthropometric indices and higher velocity and force indices of neurodynamic in males in comparison with females. In the complex of morphological and neurodynamic processes, the studied students act as a heterogeneous group, the heterogeneity of which is due not only to age-sex-specific morphotype and neurodynamic, but also to their joint interdependence.

The Implementation Of Extreme Learning Machine Methods In Predicting The Total Production Of Palm Oil (Case Study In pt. Bumi Raflesia Indah)

PT. Bumi Raflesia Indah is one of the companies that manages palm oil production. In the palm oil industry there is a collection of information that can be extracted and developed for the advancement of the industry. The data has been processed using the office application package, namely Microsoft Excel. However, the data is only for filing for PT. Bumi Raflesia Indah and was not reviewed for information in the data. Application of Prediction of Total Palm Oil Production Results at PT. Bumi Raflesia Indah was created using the Visual Basic.Net programming language and SQL Server 2008 database by applying the Extreme Learning Machine Method. In the application of the Extreme Learning Machine Method, predictions are made to determine the amount of production for 12 months in 2021 based on trend data analysis of palm oil production for 12 months in 2020. Based on the results of the tests that have been carried out, the Prediction Application for the Amount of Palm Oil Production at PT. Bumi Raflesia Indah is successfully carried out, and can provide predictive information on the amount of palm oil production for 12 months in the following year, as well as the functionality of the application has been running as expected

Analysis of The Long-Term Links Between the Money Supply and The Consumer Price Index of The Republic of Azerbaijan

Purpose of the study.Monetary policy is one of the most effective tools of the state under the control of the central bank. It allows you to influence macroeconomic components, such as the amount of money supply, activity in the credit market and the exchange rate of the national currency. Such actions lead to an increase in the money supply and the speed of its turnover, ensuring the availability of loans. Economic growth is being stimulated, but there are also adverse consequences - inflation is accelerating. The central bank uses monetary policy more frequently to bring about the desired level of change in real economic activity. These changes significantly affect the stock market. Economic theory uses the relationship between the money supply and the consumer price index. An analysis of the impact of the money supply on the consumer price index is necessary to select the most reliable type of monetary policy in the economy, to ensure macroeconomic stability or to stimulate economic growth. The money supply not only denotes and shows the level of money in various types and forms, but is also an important indicator on which price increases, inflation, credit policy, etc. depend. The dynamics of the money supply determines the dynamics of prices. The accumulation of excess money supply in the country’s economy leads to the depreciation of the national currency. The purpose of the study is to analyze the long-term relationship between the money supply and the consumer price index of the Republic of Azerbaijan.Materials and methods.In the article to analyze the long-term links between monetary aggregates M1, M2 and the consumer price index of the Republic of Azerbaijan based on quarterly data for 2005-2018, a long-term equilibrium state model and a short-term error correction model were designed. With the help of cointegration analysis and a vector model, the long-term and short-term aspects of the links between the growth of the money supply and the increase in the price level are investigated. For the regression analysis of these models, the EViews 8 application package was used.Results. Using the various methods showed that the dynamics of M1 and M2 monetary aggregates determine the growth of the consumer price index in Azerbaijan both in the long-term and in the short-term periods.Conclusion.The analysis allows us correctly approaching the problem of modelling the inflation level and to obtain a statistically acceptable and stable model with good predictive characteristics. The fact that there is a connection in the opposite direction has been confirmed. The use of various complementary methods showed that the dynamics of monetary aggregates M1 and M2 determines the growth of the consumer price index in Azerbaijan both in the long and short term.

Book Catalog Application In Man 2 Bengkulu City Using The Levenstein Distance Algorithm

MAN 2 Bengkulu City is one of the public madrasah aliyah schools in Bengkulu City. The school already has a library which is used as a medium for library members or users to search for books, read books, and borrow books. So far, the library at MAN 2 Bengkulu City is still conventional and has not used related applications in terms of searching book catalogs. Members/librarians come to the library and look directly at each shelf to pick up the desired book. In addition, the data processing of the book catalog has not utilized the office application package, all book data is processed using double polio paper that has been prepared. The book catalog application at MAN 2 Bengkulu City is an application that can be used to facilitate the library in managing book data, members, borrowing, and returning books and can print the output needed in archiving library data. The book catalog application at MAN 2 Bengkulu City has applied the Levenstein Distance Algorithm which is used to facilitate the search for books when the book borrowing process is carried out. The book catalog application at MAN 2 Bengkulu City was made using the Visual Basic programming language.

FG-Droid: Grouping based feature size reduction for Android malware detection.

BackgroundThe number of applications prepared for use on mobile devices has increased rapidly with the widespread use of the Android OS. This has resulted in the undesired installation of Android application packages (APKs) that violate user privacy or are malicious. The increasing similarity between Android malware and benign applications makes it difficult to distinguish them from each other and causes a situation of concern for users.MethodsIn this study, FG-Droid, a machine-learning based classifier, using the method of grouping the features obtained by static analysis, was proposed. It was created because of experiments with machine learning (ML), deep neural network (DNN), recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU)-based models using Drebin, Genome, and Arslan datasets.ResultsThe experimental results revealed that FG-Droid achieved a 97.7% area under the receiver operating characteristic (ROC) curve (AUC) score with a vector including only 11 static features and the ExtraTree algorithm. While reaching a high classification rate, only 0.063 seconds were needed for analysis per application. This means that the proposed feature selection method is faster than all traditional feature selection methods, and FG-Droid is one of the tools to date with the shortest analysis time per application. As a result, an efficient classifier with few features, low analysis time, and high classification success was developed using a unique feature grouping method.

THE EFFECT OF WORK ENVIRONMENT AND WORKLOAD ON WORK COMMITMENT ON HEALTH ADMINISTRATORS AT SUNAN KUDUS RSI, CENTRAL JAVA

Commitment is a condition in which workers sided with certain organizations and their goals and desires to maintain membership in their work. The middle of 2022. The research design uses a cross sectional approach. The population in this study were all health administrators at RSI Sunan Kudus, Central Java. The sample used in this study was 150 respondents. The endogenous variable is the workload, the exogenous variable is the work environment. This research uses Structural Equating Modeling (SEM) analysis with Smart PLS software application and Special Package for Statistical Science (SPSS). Data collection is done by distributing questionnaires. There is a direct effect of the work environment on the work commitment of health administrators by 20.9% with a T-statistic value of 3.115, there is a direct effect of workload on the work commitment of health administrators by 11.4% with a T-statistic value of 2.371. Thus, this study explains that the problems that occur can be studied in this study of 99.0% of data diversity while 0.1% is explained by other components. The management should make improvements to the work environment so that with frequent improvements this will help administrators increase their work commitment in the hospital.&#x0D; Keywords: Burden, Work Commitment, Work Environment

Dual Master’s Programs as a Tool for the Formation of a Single Educational Space of the EAEU

The relevance of the topic of the article is due to the key role of higher education in the formation of the necessary compe tencies for the scientific, technological and industrial sphere of the economy of a modern state.Aim. The purpose of the article is to consider the methodological and practical issues of designing double degree master’s programs in the field of business education as one of the effective tools for the formation of a single educational space of the Eurasian Economic Union. The issues of development and implementation of joint educational programs are considered on the example of an international educational project developed at the Department of Business Informatics of the North-Western Institute of Management of the RANEPA. A substantive description of the project is given, the choice of a partner organization is substantiated, criteria for evaluating the effectiveness of the project implementation are formulated.Tasks. Give a meaningful description of the international educational project (relevance, relevance, structure, methodology and methodological novelty, competencies being formed, etc.), justify the choice of a partner organization and formulate criteria for evaluating the effectiveness of the implementation of an educational project.Methods. System approach and expert-analytical methods of research (flow methods of expertise, expert assessments).Results. The proposed methodological approach to the implementation of educational projects in the format of double diplomas allows solving the problems of internationalization of higher education, forming systems thinking, skills in working with large amounts of data and modern application packages, making non-standard decisions in the economy among students of master’s programs based on modern learning technologies. The conceptual level of the proposed approach is formed by the concepts of student-centered learning, building an individual learning trajectory for undergraduate students. The process-methodological level of the proposed approach allows the introduction of modern innovative network technologies for the implementation of the content of the disciplines of the economic mathematical cycle and the cycle of information technology, the adaptation of national educational systems to international standards and the formation of a competitive educational environment.Conclusions. The priority areas for the implementation of international educational projects are: transferring international programs to the status of network programs implemented with leading universities (including the development of double diploma programs); bringing international programs to European quality standards and requirements of international accreditation agencies; passing the international joint professional and public accreditation of international educational programs.

Applying to residency: survey of neurosurgical residency applicants on virtual recruitment during COVID-19.

The COVID-19 pandemic caused a significant disruption to residency recruitment, including a sudden, comprehensive transition to virtual interviews. The authors sought to characterize applicant experiences and perceptions concerning the change in the application, interview, and match process for neurological surgery residency during the 2020-2021 recruitment cycle. A national survey of neurosurgical residency applicants from the 2020-2021 application cycle was performed. This survey was developed in cooperation with the Society of Neurological Surgeons (SNS) and the American Association of Neurological Surgeons Young Neurosurgeons Committee (YNC) and sent to all applicants (n = 280) who included academic video submissions to the SNS repository as part of their application package. These 280 applicants accounted for 69.6% of the total 402 neurosurgical applicants this year. Nearly half of the applicants responded to the survey (44.3%, 124 of 280). Applicants favored additional reform of the interview scheduling process, including a centralized scheduling method, a set of standardized release dates for interview invitations, and interview caps for applicants. Less than 8% of students desired a virtual-only platform in the future, though the majority of applicants supported incorporating virtual interviews as part of the process to contain applicant costs and combining them with traditional in-person interview opportunities. Program culture and fit, as well as clinical and research opportunities in subspecialty areas, were the most important factors applicants used to rank programs. However, subjective program "fit" was deemed challenging to assess during virtual-only interviews. Neurosurgery resident applicants identified standardized interview invitation release dates, centralized interview scheduling methods, caps on the number of interviews available to each candidate, and regulated opportunities for both virtual and in-person recruitment as measures that could significantly improve the applicant experience during and effectiveness of future neurosurgery residency application cycles. Applicants prioritized program culture and "fit" during recruitment, and a majority were open to incorporating virtual elements into future cycles to reduce costs while retaining in-person opportunities to gauge programs and their locations.

Drug Data Clustering Based on Total Inventory and Total Demand for Drugs Using the K-means Clustering Method at Pajar Bulan Health Center

At Pajar Bulan Health Center, drug supply data processing is already using office application packages, namely Microsoft Word and Excel. The application package is used for making monthly usage reports, requests and drug supplies. Constraints that often occur are that it takes a long time to manage drug inventory data because they have to record one by one the amount of drug use and the number of drug requests to be made. The number of requests is carried out every month by looking at the latest drug supply, if the stock starts to run low then a request is made. However, it is possible that the stock has run out before making a request, this results in a lack of drug supply management. Drug data clustering is carried out based on the amount of supply and the number of requests for drugs at the Pajar Bulan Health Center through the K-Means Clustering Method approach. To help cluster the drug data, an application was built using the Visual Basic .Net programming language and SQL Server 2008r2 database. Clustering of drug data is carried out in units of pcs in 2021 where the amount of inventory is reduced by the number of requests for drugs, so that the results obtained are 2 drugs enter cluster I and 27 drugs enter cluster II. good and the application can help the Pajar Bulan Health Center in knowing the grouping of drug data based on 2 groups, namely the few clusters and the large clusters

AGE-RELATED FEATURES OF PORTAL HEMODYNAMICS IN RATS

Purpose. To determine the indicators of portal hemodynamics in laboratory rats of different genders and ages based on the features of ultrasound scanning of the portal vein.&#x0D; Materials and methods. The study was conducted on 60 mongrel rats of both sexes weighing 120-270 g. The first group included 20 rats aged 1 month, the second – 20 rats aged 6-12 months and the third – 20 rats aged more than 18-24 months. The study of qualitative and quantitative indicators of portal hemodynamics was performed using ultrasound scanners with zoletil-xylazine anesthesia. Statistical analysis was performed using the application package Statistica 13.0 (StatSoft, USA).&#x0D; Results. The spectrum of blood flow in the portal vein of rats was unidirectional (monophasic), located above or below the isoline, with oscillations of the curve having a relationship with respiration. A clear dependence of blood flow fluctuations in the portal vein on cardiac activity has not been established. The diameter (by 15.4%, R= 0.64), the cross-sectional area (by 40%, R=0.68) and the maximum linear velocity of blood flow (by 1.2%, R=-0.09) in the portal vein increased with an increase in the age of the animals. The minimum linear velocity of blood flow decreased (by 32.2%, R =-0.05), which indicated an increase in the systolic-diastolic coefficient (an increase in the pulsativity of the flow). The indicator of the volumetric blood flow rate in the portal vein increased by 11.1% (R=0.06), and in relation to body weight decreased in elderly animals (by 11.5%, R=-0.05).&#x0D; Conclusion. A moderate increase in volumetric blood flow in the portal vein (by 11.1%) with a pronounced increase in body weight (by 34.9%) was found with an increase in the age of animals. The perspective of further research is to study the functional reserve of the liver in the age aspect.

PENERAPAN ALGORITMA TURBO BOYER MOORE DALAM SISTEM PENCARIAN DATA KONSUMEN ASTRA MOTOR CABANG BENGKULU

The process of managing consumer data and motorcycle sales data has utilized an office application package, namely Microsoft Excel. However, the data collection takes quite a long time, because it has to record all available motorbikes including frame numbers, engine numbers, and dealers who sell these motorbikes, besides that it is difficult to search consumer data. The consumer data search system for Astra Motor Bengkulu Branch is an application that can be used to help manage data on dealers, motorcycles, consumers, motorcycle sales, and facilitate the search for consumer data. This consumer data search system has implemented the Turbo Boyer Moore method which helps facilitate the process of searching for consumer data based on consumer names through character shifts. The consumer data retrieval system for Astra Motor Bengkulu Branch was created using the Visual Basic. Net programming language and SQL Server database. Based on test data conducted with the keyword Man to search for consumer names, the search system automatically conducts research data on the database using Turbo Boyer Moore Method and produces searches on the 5th pattern index. Based on the tests that have been carried out, the functionality of the consumer data search system for Astra Motor Bengkulu Branch has been running according to the design and there are no errors in the application

The Effect of Employee Commitment, and Motivation, on Employee Performance with Organizational Citizenship Behavior as an Intervening Variable Study at PT Bank Mega, TBK Manado Area

Companies are required to optimize human resources. This study intends to determine the magnitude of the impact of employee commitment, and motivation, on employee performance through organizational citizenship behavior segmentally or simultaneously at PT Bank Mega, TBK Manado area. The sample used was 64 employees of PT Bank Mega, TBK Manado area, with data collection using a questionnaire. Technical statistical analysis using Path Analysis with SPSS software application program version 2.4. The consequences of this study make sense that worker responsibility straightforwardly affects hierarchical citizenship conduct, representative inspiration straightforwardly affects hierarchical citizenship conduct, worker responsibility straightforwardly affects worker execution, representative inspiration straightforwardly affects worker execution, hierarchical citizenship conduct straightforwardly affects worker execution, the representative obligation to representative execution through authoritative citizenship conduct has no interceding impact, and inspiration on worker execution through hierarchical citizenship conduct has an intervening impact.

Pengembangan Media Pembelajaran Sembia Sosis Berbasis Android Untuk Siswa Sekolah Dasar

The purpose of this research is to produce an android-based learning media that can be used by sixth-grade elementary school (SD) students with the content of science subjects on theme 9 with material on the solar system. The background of this research is the boredom of students in implementing Distance Learning (PJJ) so that it requires interesting learning media that can be used anytime and anywhere offline. This research is a development research (R&amp;D) using the ADDIE model procedure. Analysis of the data used is quantitative data analysis. The validation used is media and material validation carried out by experts in their fields. The respondents who were involved in testing the feasibility of the media included class VI teachers, and 20 elementary school students in class VI. The results of this study indicate that the Sembia Sosis (Happy Easy Learning Natural Sciences material for Solar Systems) application which was developed has the characteristics of a file in the form of an application package (apk) that can be installed and run using android that supports students to study independently. Based on the results of expert validation and respondents, overall it was concluded that the Sembia Sosis application suitable for use as a learning medium.

Математическое моделирование и программная реализация процесса управления обеспечением безопасности полетов и деятельностью авиационного персонала

Obtaining timely, reliable and complete information about the state of the aviation system, and its processing using the latest information technologies is one of the most promising directions in solving the problem of reducing accidents in aviation. The paper presents an analysis of peculiarities of information and mathematical modeling of flight safety management process. One of the methods of ensuring flight safety is to monitor the production of flights, as well as to analyze the quality of officials' performance of their direct duties, which allows identifying and classifying emerging hazards, accumulating information in databases for subsequent use as a decision support system in the process of flight management, as well as for carrying out preventive measures to eliminate them. A mathematical model is given, based on a proactive method, the essence of which is to actively detect and predict the occurrence of hazardous factors of flight activity before their manifestation in flight. The model includes consideration of the effectiveness of flight safety management by various organizational groups at several stages of flight preparation, as well as an analysis of the effectiveness of officials. Based on the proposed mathematical model, a flight safety control system was developed, which is designed to constantly influence the elimination of hazardous factors, both on the ground and in the air. The system operates around a specific crew and a specific aircraft during the preparation, conduct and analysis of the flight. The use of the proposed management system, together with a model for assessing the organizational performance of officials, allows for the most comprehensive consideration and prevention of factors affecting flight safety. Description, structure diagrams, screen forms of the application package implementing the proposed mathematical model and flight safety management system, as well as results of testing of the proposed system in military units are given.

Applying Real-Time Dynamic Scaffolding Techniques during Tutoring Sessions Using Intelligent Tutoring Systems

An intelligent tutoring system (ITS) is a computer system or software application that is built to replicate human tutors by supporting the theory of “learning by doing.” Even though ITSs have been proven to be successful in academic studies, they still have not found large adoption by the industry due to the complexities of building such systems due to the high technical expertise and domain knowledge requirements. Attempts have been made to build authoring tools that can provide assistance in building tutoring systems; however, most of these tools are targeted toward authors that have considerable programming experience. This research proposes an authoring tool for ITS, which is targeted at novice authors with minimum technical/programming experience and provides real-time scaffolding to learner’s incomplete/incorrect answers using the best scaffolding techniques. Two evaluation techniques were applied for the evaluation of the performance of the proposed authoring tool, e.g., paired t-test analysis and postexperiment survey. The learning gains obtained from paired t-test contend a significant learning gain and improvement in the learning process with enhanced learning performance with multiple scaffolding techniques as compared to single scaffolding technique experience. The postexperiment survey has a notable result that shows the effectiveness of the tutor model that ensures a very user-friendly interface, deploying scaffolding techniques and adequate control of selecting and deploying scaffolding techniques and making the authoring process easy.