bluuebunny/crossref_metadata_2025 huggingface dataset:
Peculiarities of the Sound Composition of Monosyllabic Roots in Lexemes Representing the Concept Sphere “Earth, Earth Surface Features” by the Material of the Tatar, Bashkir and Chuvash Languages
Authors: Nigmatullina Leysan Anderzyanovna , Abdullina Amina Shakiryanovna , Lysova Olga Vasilyevna
Published: October 2022

The aim of the research is to identify the peculiarities of the sound composition of monosyllabic roots in lexemes representing the concept of the cognitive sphere “Nature (Inanimate)”, using the material of the Tatar, Bashkir and Chuvash lexicons. Scientific novelty of the work lies in taking a focused systematic and comprehensive approach to the issue of lexico-semantic and ideographic characteristics of monosyllabic roots in the Turkic languages of the Urals-Volga region within the cognitive sphere “Nature (Inanimate)”. The paper is the first to study the interlanguage and intralanguage lexico-semantic groups of the Tatar, Bashkir and Chuvash languages. The research findings have shown that lexico-semantic groups reflect fragmentation of realities of the surrounding world. A contrastive and comparative study of these groups helps to understand the differences in cognition and segmentation of the same object by different languages. This also reflects the differences in the material and spiritual culture of the peoples.
Allusive Equivalents as a Popular Mode of Allusion Translation from English into Russian in a Literary Text (by the Example of the Novel “The Master of Petersburg” by J. M. Coetzee)
Authors: Korshunova Elena Sergeevna
Published: October 2022

The study aims to identify the most popular mode of allusion translation based on the comparison of the original text of J. M. Coetzee’s novel “The Master of Petersburg” and its English-Russian translation. The researcher considers the notions of “allusion”, “intertext”, “intertextuality”, “precedential text”, functions of allusions, means of allusion translation. Scientific originality of the study lies in proposing a classification and structure of allusions and at the same time explaining their significance in the text of the novel from the researcher’s standpoint; as well as in identifying and analysing such modes of allusion translation as allusive equivalents and translation transformations. As a result, it has been proved that the use of allusive equivalents is the most popular translation mode, as most allusions in the novel are based on the facts of biblical, mythological, literary and historical origin containing toponyms and anthroponyms that are well known to readers.
Reading, Interpreting, and Translating Shakespeare: The Problem of (In)Action and of Its Causes in Soviet Translations
Authors: Kovalevskaya Tatyana Vyacheslavovna
Published: October 2022

The aim of the article is to explicate the ideational contents of translations of the word “conscience” and their significance for understanding the poetic mythology of the Silver Age. Using translations of “Hamlet” by Mikhail Lozinsky, Boris Pasternak, and Anna Radlova, the article traces translations of the word “conscience” and instances where the word was omitted or added in the Russian translations. The conclusion is that specific translational choices were conditioned not so much by Soviet censorship (which demanded an ametaphysical mindset that would be contrary to treating “conscience” as moral knowledge concerned with a human being’s posthumous fate), as by a Silver Age myth of the poet as a super-human being and a cultural hero. This myth aligns with “rationalizing” Hamlet’s indecision. The paper’s novelty lies in its conclusion that it was that poetic myth that led Soviet and post-Soviet translators to prefer to interpret Hamlet as a super-human being charged with a mission of a cosmic scale, which should not have been hindered by the moral considerations of the characters. Our findings are that translators of Shakespeare continued the Silver Age myth of the poet as a divine being, even as the interpretations paradoxically appeared to be in line with the Soviet worldview that looked unfavorably at all things metaphysical.
Biblical Performative in Early Christian Germanic Culture
Authors: Ledovskikh Antonina Yurevna
Published: October 2022

The study aims to determine the specific features of the performative power of the word in the texts of the Christianisation period of Germanic tribes and in the texts that have preserved the pagan character of culture. Scientific novelty lies in identifying the biblical character of the performative in comparison with the pagan tradition of the ancient Germanic tribes. By analysing the ancient texts of Icelandic sagas belonging to the Poetic Edda and the ancient Germanic texts of the early Christian period the following results were obtained: the performative category is represented in the Christian tradition by a number of characteristics, i.e. the word spoken by God is equal to action, the illocutive power of the phraseological unit “in the name of the Lord” is the result of contractual relations, there is a strong cognitive connection in the pair “call” - “action”, while the pagan tradition is dominated by orality and the concept of conversation.
Peculiarities of Gender Stereotypes Verbalisation in the English-Language Advertising Discourse
Authors: Gorokhova Yulia Vladimirovna
Published: October 2022

The aim of the research is to identify the peculiarities of gender stereotypes verbalisation in the English-language advertising discourse. Scientific novelty lies in expanding the ideas about the distinctive features of gender stereotypes representation using the material of the English-language advertising discourse. In the process of the research, the linguistic and stylistic features of gender stereotypes and thematic groups characteristic of their verbalisation are identified; their distinctive features in TV commercials are highlighted. As a result of the research, it has been proved that gender stereotypes are verbalised in different ways in the advertising language; in addition, the distinctive features of gender stereotypes representation in the advertising discourse have been identified.
Means of Literary Expressiveness in Bai Juyi’s Poem “Feelings on Watching the Moon”
Authors: Skvortsov Arseny Vladimirovich
Published: October 2022

The study aims to determine the percentage of parallel fragments in Bai Juyi’s poem “Feelings on Watching the Moon” out of the total number of characters. For this purpose, the researcher will consider fragments characterised by both local and global parallelism as parallel fragments. The study is novel in that it is the first in Russian academic literature to carry out such an analysis of the parallelism of this work that is based on analysing all the lines of the poem at the level of phrases. As a result of the study, it has been shown that the poem under consideration is characterised by vertical and horizontal, local and global symmetry, with horizontal and vertical symmetry complementing each other. None of these types of symmetry is dominant. Parallel fragments make up 87.5% of the total number of characters in the poem. Parallelism is complemented by four metaphors, one symbol and expressive-emotive vocabulary.
Image of a Police Officer in Short Stories at the Turn of the XIX-XX Centuries (by the Material of Russian Literature)
Authors: Ustyuzhanin Viktor Nikolaevich , Marchenko Larisa Valentinovna , Popova Olga Aleksandrovna
Published: October 2022

The purpose of the research is to determine the specifics of the image of a police officer in Russian short stories at the turn of the XIX-XX centuries. The paper identifies and analyses the positive and negative features of law enforcement officers presented in the literature of the said period. Based on the study of literary texts, it is shown that three concepts of a police officer are presented in Russian short stories at the turn of the XIX-XX centuries, which are specified by the authors of the paper as the idealising concept, the critical concept and the dialectical one. The research is novel in that it is the first to analyse the image of a police officer not only in the works of famous authors (A. P. Chekhov, L. Andreev, A. Averchenko etc.), but also in the creative work of writers forgotten today (Vs. Popov, L. Horvat, A. Zavistovsky etc.). As a result, it has been proved that the critical concept of a police officer highlighting the main shortcomings of law enforcement officials is the most widely presented one in Russian short stories at the turn of the XIX-XX centuries, but it is firmly opposed by the idealising and dialectical concepts depicting police officers as people with both positive and negative qualities. It is emphasised that the identification of the three concepts indicates the versatility of the image of a police officer in Russian literature at the turn of the XIX-XX centuries.
Axiological Aspect of the Linguocultural LEARNING Concept in Chinese Idioms
Authors: Makashova Viktoria Vyacheslavovna
Published: October 2022

The research aims to determine the value content of the LEARNING concept in Chinese idioms as a means of explicating moral principles and behavioural rules of the Chinese linguocultural community. This concept occupies a central place in the Chinese conceptual sphere, since the learning process is continuous and accompanies a person throughout their entire life. The paper analyses the axiological parameters of the LEARNING concept embedded in Chinese idioms (chéngyǔ) as the most expressive means of the modern Chinese language; proposes a classification of the selected idiomatic units based on the type of a cultural value or anti-value that is characteristic of each value-semantic link in the axiological space of the specified concept. The research is novel in that it is the first to involve idiomatic expressions for the purpose of studying the Chinese linguocultural LEARNING concept. As a result of the research, the composition of Chinese chéngyǔ verbalising the said concept has been determined, the culture-specific content of the concept has been described, value orientations to learning in the Chinese linguocultural community have been revealed.
The World of an Udmurt Woman in the Lyric Poetry of Ashalchi Oki
Authors: Fedorova Liubov Petrovna , Shibanov Victor Leonidovich
Published: October 2022

The purpose of the study is to characterise the emotional mood of the lyric poetry of the Udmurt poetess Ashalchi Oki (Akilina Grigorievna Vekshina, 1898-1973). In her book of poems «Сюрес дурын» (“By the Road”, 1925), Ashalchi Oki in a fairly complete manner sheds light on the world perception of an Udmurt woman who realised her own identity in the 1920s. Scientific novelty of the paper lies in the fact that this is the first time that Ashalchi Oki’s poems are considered in the light of the “emotional mood” category elaborated by B. O. Korman. A specific female view of the changing world is manifested in Ashalchi Oki’s poems. As a result of the study, it has been found that the female persona of Ashalchi Oki’s poems strives to fit into a new life, feels the freedom, but is not yet free. The inner world of a woman is divided into three categories: mood - heart - soul, each of which is revealed in different ways in a particular work. The concept of “fate” in Ashalchi Oki’s writings is less related to divine providence or astrological signs, the predominant connotations are “fate as a connection”, “fate as justice”, “fate as fetters” in their realistic meanings.
Spelling Rule for Consonant Clusters with the Soft Consonants Ч and Щ in the Russian Language: A New Phrasing
Authors: Furman Natalia Gennadievna , Volodina Daria Nikolaevna , Okhorzina Julia Olegovna
Published: October 2022

The research aims to bring the theoretical phrasing of the school grammar rule for spelling Russian consonant clusters with the consonants Ч and Щ into a universal form that is easy to use, understand and that does not require extensive memorisation. The work is novel in that it provides a new, simple and clear phrasing of the rule that corresponds to the general direction within the project of reforming spelling and grammar rules of the modern Russian language. As a result, the laconic phrasing of the spelling rule for consonant clusters with the consonants Ч and Щ in the Russian language proposed in the paper is simple, clear and easy to learn even for first-grade secondary school students and foreign Russian-language learners.
Cultural Space Modelling as a Method of Linguoculturological Study of a Literary Text (by the Material of D. Kehlmann’s Novel “Tyll”)
Authors: Oleynik Marina Alexeevna , Gorbatovsky Alexandr Sergeevich
Published: October 2022

The research aims to determine the linguistic features of cultural space modelling as a method of linguoculturological study of a literary text. Scientific originality of the research lies in applying the theory of linguistic modelling to the analysis of culturally significant extralinguistic information that forms the cultural space of a literary text. The novel “Tyll” by D. Kehlmann, published in German in 2017, served as the research material. The analysis of the material confirms that linguistic units with the specific linguoculturological features recreate and arrange elements of cultural space in the text, which makes it possible to define cultural space modelling as a method of linguoculturological study of a literary text. As a result, the researchers have determined the dependence of cultural space modelling on semantic, contextual and linguoculturological types of analysis; have identified the stages of cultural space modelling that contribute to the recreation of a hierarchically structured system of culturally significant elements; have determined the relationship between the linguoculturological features of various elements of cultural space and the ways of their verbalisation in a literary text.
Language Shift as a Result of the Influence of Social Factors (by the Example of Finno-Ugric Languages of the Russian Federation)
Authors: Kondrashkina Elena Alekseevna
Published: October 2022

The paper is aimed at obtaining data on the accelerating language shift among the Finno-Ugric peoples of the Russian Federation living in the Republics of Karelia, Komi, Mari El, Mordovia and Udmurtia. To achieve this aim, the task was to analyse the extralinguistic factors causing that shift to occur: the demographic and functional power of the language, the language environment, the transfer of the language from the older generation to the younger one, the position of the language at schools, the prestige of the language, etc. Special attention is paid to the national language policy during the Soviet, post-USSR and present times. The negative influence of a number of social factors, such as the anti-nationalism struggle and repressions in the 1930s, the Russification, on the psychological state of native speakers of the titular languages is emphasised. Bilingualism and code switching in the process of communication are defined as the initial stage of the language shift. Scientific novelty of the paper lies in the fact that the study of the language shift and its causes among the Finno-Ugric peoples of the Russian Federation is carried out to such an extent for the first time. The result is statistical data on the language shift among the Finno-Ugrians of the five above-mentioned republics in the 2010 census.
Penerapan Modifikasi Algoritma Trithemius Pada Aplikasi Penyimpanan File Secara Online
Authors: Purba Andriaman , Hasibuan Nelly Astuti
Published: October 2022

The more time is developing, the more knowledgeable, as well as file storage. As is known at this time very many people save files online because it is easy to access anytime and anywhere only with capital, but the drawback of online storage is the security that can be unsettling to users at any point of online storage. So the authors use one of the Cryptographic Algorithms, namely the Modification of the Trithemius Algorithm to carry out the security of files stored on online media. This algorithm can change the code by encrypting files. It is hoped that the community will apply or use the Trithemius Algorithm modification in order to help the community in securing files, especially important files.
Penerapan Metode OCRA dalam Menentukan Media Pembelajaran Online Terbaik di Masa Pandemi Covid-19 dengan Pembobotan ROC
Authors: Indini Dwina Pri , Khairunnisa Khairunnisa , Puspa Nola Dita , Siregar Tesa Aurelia , Mesran, M.Kom Mesran
Published: October 2022

Right now the Covid-19 pandemic is very troubling where people must comply with regulations that have been made by the government, namely reducing non-essential activities outside the home so that there are no crowds, at this time many educational institutions are closed for face-to-face learning activities and then online or online learning is applied. online. In this online learning there are many media that can be used so that it makes teachers and students confused to determine which media is the most appropriate to use. This study uses a Decision Support System as a system in selecting which online learning media is the best. In determining the best online learning media, it must meet criteria such as User Capacity, Visual Interaction, Friendly Features, Application Features and Internet Data Usage. Therefore, a Decision Support System (DSS) is needed in solving existing problems by applying the ROC (Rank Order Centroid) and OCRA (Operational Competitiveness Rating Analysis) methods that can generate weight values and preference values from the first ranked alternative. So that the best online learning media during the Covid-19 pandemic lies in the A3 alternative, namely Moodle with a value of 2,296.
Perencanaan Strategis Sistem Informasi dengan Menggunakan Metode Ward and Peppard pada Swalayan
Authors: Saputra Jonathan , Tanaamah Andeka Rocky
Published: October 2022

Abstract–Rapid technological developments require companies to move dynamically following the flow of technological changes, one of the things that can be done is to use information systems to support company operations. Harum Swalayan is one of the supermarkets that already uses information systems but there are still several divisions that have not implemented information systems. Data collection in this study used interviews and observations to determine the business environment and the company's information system environment. The method used in this study was Ward and Peppard with SWOT analysis, Value Chain analysis, Five Forces porter, and Mcfarlan's Strategic Grid. This research produces recommendations in the form of warehouse information system applications, vehicle parking security systems, and cashier information systems. Employee absenteeism system, and financial information system, which are priorities according to the McFarlan Strategic Grid mapping, and can be implemented within the next 3 years.
Sistem Deteksi Jatuh dan Peringatan Dini Pada Manusia Berbasis Android
Authors: Hendi Ade , Hermanto Hermanto , Rozaaq Abdur
Published: October 2022

Falling is an event that has often happened to humans in the surrounding environment, and almost every human being has experienced a fall. The condition of falling in humans can have very serious effects, such as injuries and may even increase the risk of death. The cause of death due to a fall can be caused by several factors, including the weakness of a person's ability to stand back up after a fall, when he falls there is no first aid, someone who falls has difficulty contacting his family or closest people. The purpose of this study is to build a fall detection system in humans. This system utilizes the accelerometer sensor on a smartphone to detect human movement. The fall detection system can run with various conditions of falling motion position with an accuracy level of 87.27% from a total of 110 trials, and a sensitivity of 77.5% so it is properly to use in detecting falling motion.
Implementasi Algoritma Apriori Dalam Keterkaitan Data Pada Kelangkaan Minyak Goreng
Authors: Ulvah Ulvah , Laswi Aishiyah Saputri
Published: October 2022

The shortage of edible oil has caused the price of oil to be significantly higher than normal, which has led to higher oil prices even in certain regions where there are no edible oil inventories at all (empty warehouses). Due to the phenomenon of cooking oil shortages, many traders sell at high prices using correlation techniques, but they are not suitable. Given so many incidents where traders were selling cooking oil with related technology but not suited to consumers' needs, the authors became interested in analyzing the data connections by applying the a priori algorithm so that the goods paired with the cooking oil were not more useless and can be beneficial to buyers. Transaction data as a reference by a correlation by setting a cut-off value of 15% resulting from scanned transaction data, when buying cooking oil, often from 210 samples at the same time, and the samples taken have too good a number to be used as a correlation to become as they have a leverage value > 1.00 so that they can be used as a reference to arrange the cooking oil supply packaging along with other items.
Implementasi dan Analisis Profil Sistem Pada Virtualisasi Paloalto Firewall Berdasarkan Metrik Sumber Daya Komputasi
Authors: Listyawati Ni Made Meliana , Widjajarto Adityas , Kurniawan M Teguh
Published: October 2022

On the security aspect, it is necessary to know how effectively a firewall can protect network devices from DDoS attacks. The characteristics of a firewall have different functions in protecting the system from various external attacks that can attack and retrieve data. In this research, the implementation of Paloalto firewall virtualization aims to obtain the system profile function on the firewall based on the use of computing resources. Profiling of the firewall system of this experiment based on the consumption of computing resources in load testing. This experiment used a DDoS SYN flood attack on Kali Linux as an attacker and a virtualization Paloalto firewall that protects a web server on Ubuntu Server as an attack target. This research distinguished based on two test scenarios, namely based on testing the service HTTP allow and service HTTP block with Paloalto memory specifications at RAM 5.5 GB and RAM 8 GB specifications. Measurements were made based on computing resources on CPU, memory, and a session focused on before, during, and after DDoS SYN flood attacks. The pattern of usage of computing resources tends to be linear when a DDoS SYN flood attack occurs. The experimental results obtained on the highest use of computing resources during the attack were CPU usage with an average percentage of 95.8% and the second increase was in memory usage with an average percentage of 44%, and the session usage was 138682. For further research, it can use variations of DDoS attacks to get a wider profile.
Implementasi Algoritma Frequent Growth (FP-Growth) Menentukan Asosiasi Antar Produk
Authors: Yogasuwara Rangga , Ferdiansyah Ferdiansyah
Published: October 2022

Data accumulation is caused by the amount of transaction data stored. By utilizing the sales transaction data in the database, the data can be further processed into useful information for managers to make decisions. With the existence of data mining, it is hoped that it can help the Leaning Shop to find the information contained in the transaction data into new knowledge. Association Rule, which is a procedure in Market Basket Analysis to find relationships between items in a data set or it can be said that this association rule aims to find a collection of items that often appear at the same time and display them in the form of consumer habits in shopping. The FP-Growth algorithm is an algorithm that can be used to determine the data set that appears most often (frequent itemset) in a data, in the search for frequent itemset in a data set by generating a prefix-tree structure or often called the FP-Tree. From the test results it can be concluded that the application of data mining using the FP-Growth Algorithm can be used to analyze consumer spending patterns.
Sistem Pendukung Keputusan Promosi Jabatan Dengan Kombinasi Metode AHP dan MFEP
Authors: Iqbal Muhammad , Triayudi Agung , Rahman Ben
Published: October 2022

Management of PT.Promexx Pusat Stationery is very difficult to make decisions to assess subjective things, for ease of decision making (SPK) to determine a more precise and accurate decision. Promotion is a position according to the evaluation output during work. In the assessment of employees who get good grades, they will be promoted as a form of appreciation for employees while working in accordance with the vision and mission. In this criterion there are several assessments such as K1 (Attendance), K2 (Cooperation), K3 (Performance), K4 (Problem Solving), K5 (Ability). The purpose of this study is to help PT.Promexx Pusat Stationery make decisions about promotion of employees in the company, in this system the researcher uses the Analytical Hierarchy Process method, which is choosing a sustainable value to obtain the ratio value and to make sure the researcher has also combined the Multi Factor Evaluation Process algorithm. on choosing the final result value that will be determined in problem solving. And the result of ranking employees is the total that is obtained from the sum of all the criteria from table 14 for all candidates and will produce a total value. From this research, the highest total score is 92.01 with the first rank.
Perbandingan Metode Dempster-Shafer dan Certainty Factor Untuk Mendiagnosa Jenis Gangguan Bipolar Berbasis Website
Authors: Mardikaningtiyas Hindriyani , Andryana Septi
Published: October 2022

Bipolar is a mental illness that have very drastic emotional transformation. Bipolar disorders can interfere sufferer's activity if it has not been detected early. In general, the bipolar disorders sufferers difficult to control their circumstances or moods and it requires the proper treatment of the expert. An expert system to diagnose the kind of bipolar disorders built on this study using comparative methods of Depmster-Shafer and certainty factor based on website. The main expectation of this expert system application is to make it easier for the expert to diagnose bipolar disorders as well as to speed up the consultation process. In addition, this study aims to compare the two methods to determine the best method. The accuracy of this study is 93% of the certainty factor method while for the Dempster-Shafer method is 80% which can be summarized that certainty factor method is better than Dempster-Shafer in diagnose bipolar disorders because it has a higher degree of accuracy.
Pengembangan Sistem Pelacakan Proyek Berbasis Web dengan Rapid Application Development Berdasarkan Studi Kasus PT. XYZ
Authors: Rini Maria Nila Anggia , Filiana Agata , Saputra Laurentius Kuncoro Probo , Tamtama Gabriel Indra Widi , Tanuwijaya Joel Adhi , Kurniawan Lukas , Surya H Bastian
Published: October 2022

PT. XYZ is a company that supplies automotive spare parts with a complex business workflow. One project consists of several jobs involving a series of steps and different sections of the department. In this study, we developed a web-based project tracking system using rapid application development based on a set of user requirements. The system was tested using black box testing which indicated success in response to its functionality. The result successfully provided employees the means to select a job according to their order, upload files, write notes, and pass the job to the next section when done. For Inspection and Assembly, the testing showed success for returning jobs to Design when revisions were required. Assembly was also able to declare project completion when every job has been fully executed by its respective sections. Every stage of the project was successfully recorded which provided information on the progress of each project to the management. Furthermore, our testing also found the system to be capable of providing a facility for customer to track the progress and duration of their project anywhere and anytime by entering a project code.
Internet of Things (IoT) Based Free Fall Motion Instructions in Physics Subjects for Class X Students
Authors: Fauzan Muhammad Nabil , Suwastika Novian Anggis , Jadied Erwid Musthofa
Published: October 2022

Physics subjects are one of the most difficult materials for students to understand. According to the research that has been done, props are one of the answers to make it easier for students to understand physics lessons. Since most physical materials are directly related to everyday life, props serve as a practical medium to facilitate the learning process. Learning physics concepts is easier to understand by using props which we simulate based on real events. One of the materials in physics class is free-fall motion. In this material, when an object falls from a height and has no initial velocity, its falling velocity is calculated. In this study, we apply the Internet of Things (IoT) to the props of free fall material and by adding Ambrose's concepts namely practice and feedback, so that students can better understand the material of free-fall motion. By implementing IoT, the system can read, record, and evaluate the experimental activities performed by users, and users who already have an account can access it online through the website. The system was evaluated based on system functionality and accuracy generated by the system. Based on the test results, it was found that all functions included in the system were 100% working. Based on the three tests performed, the system achieved an average accuracy of 80%.
Penerapan Metode ELECTRE dalam Menentukan Penerima Penghargaan Adiwiyata
Authors: Waruwu Fince Tinus , Mesran Mesran , Tumanggor Hotmoko
Published: October 2022

Adiwiyata is one of the Ministry of Environment's programs within a framework supported by school knowledge and awareness in environmental preservation and sustainable development efforts. Therefore, appreciation is needed for Adiwiyata schools in order to provide motivation and improve performance. The determination of the North Sumatra adiwiyata award recipient still uses a manual system and requires quite a long time. Based on these problems, we need a system that supports the decision (SPK) that allows you to receive recipients of adiwiyata awards using existing criteria. One method that can be used is Elimination Et Choix Traduisant la Realite (ELECTRE). This method can solve the type of problem in making decisions with alternatives and criteria that have been given the weight of research using ELECTRE to produce the lowest ranking ranking or highest ranking. The results showed that A4 was the best
Expert System Mendiagnosis Penyakit Hewan Peliharaan Melalui Penerapan Teknik Case Based Reasoning
Authors: Kurniawati Dwi , Dahriansah Dahriansah , Nasution Akmal
Published: October 2022

Disease is a certain abnormal condition that negatively affects the structure or function of part or all of the body of a living being. Disease is not only found in humans, but also in animals especially pets which are known to be more susceptible to disease. This study explains that it is important to maintain the health of pets so that the health of their owners can also be maintained properly. The lack of knowledge of pet lovers causes delays in handling these pets. Another problem besides pet disease is the lack of veterinarians or veterinary clinics in the Asahan area. To help overcome these problems, a system was created that can determine diseases quickly in pets such as dogs, cats and rabbits using the Case Based Reasoning method. This Case Based Reasoning method is used to find the disease similarity value by looking at previous cases. From the weight calculation carried out in this case, the highest similarity value is Worms with a percentage of 92,3076%. So the recommended treatment solution for new cases entered by users with symptoms of intestinal worms is regular deworming and regular grooming at least once every 14-15 days.
Pengujian Prototype Pemesanan Creative Gift Menggunakan HEART Framework
Authors: Maricar M. Azman , Pramana Dian , Edwar Edwar
Published: October 2022

Making and testing prototypes is very important in developing a product. This is very important to do to minimize errors that may occur when the product has been released to end-users. There is research that discusses problems and determines the design of solutions for ordering creative gifts using design thinking. In this research, the focus is on problem space design thinking which includes empathize, define, and ideate processes with the result of the solution design in the form of a wireframe. The wireframe is made in two versions which are then carried out A/B testing to get user views regarding the design that will be used. The design of the chosen solution can be developed to the prototype stage. The focus of this research lies in solution space design thinking, namely making prototypes based on research results in the form of wireframes and conducting testing. Prototypes are important to be made as a communication tool between developers and end-users. With a prototype, end-users can directly test it without having to wait for the final product to be released, so that they can find out existing deficiencies as early as possible. The prototype was created using the Figma application. After the prototype is successfully made, the prototype is tested using the HEART Framework which focuses on aspects of Happiness and Task Success. The target set for the two aspects of the assessment is to achieve a very high level of usability level. Tests are carried out on all users, namely owner, admin, and customer. From the test results, the reliability criterion value is 0.87, which means the level of usability reaches a very high level. In other words, what has been targeted, can be achieved in this test. For the next stage, the prototype can be developed into a finished product so that its benefits can be felt directly by end-users.
Penerapan Algoritma Adaboost Untuk Peningkatan Kinerja Klasifikasi Data Mining Pada Imbalance Dataset Diabetes
Authors: Novianti Nia , Zarlis Muhammad , Sihombing Poltak
Published: October 2022

According to the World Health Organization (WHO), it has been recorded that up to now more than 150 million people have diabetes, whether they are elderly people, adults, teenagers, men or women. Early knowledge of diabetes can be seen based on data from patients who already have diabetes. The patient's disease data has previously been stored and arranged in a data warehouse or what is commonly referred to as a dataset. Therefore, it is necessary to process the data contained in the dataset. But the use of data mining techniques themselves must be assisted by using the techniques contained in the data mining, namely classification techniques. K-Nearest Neighbor (K-NN) is one of the methods used in the classification technique. In the results of the classification of the level of confidence obtained in the process, it is seen based on the amount of accuracy. However, there are important issues that need special attention. In the dataset used for the classification process, the data collected contains unbalanced class results (balance). The unbalanced data classification process becomes an important problem, this is because it can cause a decrease in performance. Adaboost is a technique in data mining that can be used to increase the level of accuracy in classification methods. The results showed that the adaboost algorithm can help improve classification performance. This can be seen from the increasing level of accuracy obtained from the process carried out before and after using the adaboost algorithm. The results obtained from the research show that the adaboost algorithm can be used properly to help the performance of the K-Nearest Neighbor algorithm for the classification process on diabetes datasets. It can be seen from 5 tests with values of K = 7, 13, 19, 25 and 31 there is an increase in the accuracy results obtained after using the adaboost algorithm.
Implementasi Data Mining dengan Algoritma Naïve Bayes untuk Profiling Korban Penipuan Online di Indonesia
Authors: Sunardi Sunardi , Fadlil Abdul , Kusuma Nur Makkie Perdana
Published: October 2022

Profiling of victims of crime is intended to facilitate the targeting of information dissemination and carry out prevention efforts. Profiling is helpful to increase the awareness of internet users against cybercrime. This study aims to create a sociodemographic profile based on online fraud victims using Instant Messengers in Indonesia based on the sociodemography of online fraud victims, namely age, gender, education level, domicile, occupation, duration of using the internet in a day, and Instant Messenger media used. The method used in this research is the descriptive statistical method, namely Data Mining using the snowball sampling method by sharing a link via WhatsApp. Participants were given a link to fill out several survey questions about the sociodemographic of the victim, such as age, gender, occupation, domicile, and online fraud that had been experienced through the IM application. The survey was created using GoogleForms and sent online via WhatsApp to participants who had been victims of online fraud. The Data Mining technique was used to analyze the responses of 1910 participants and then classified using the Naïve Bayes Algorithm. The results showed that the Naïve Bayes Algorithm has an accuracy percentage of 75.28%. The prediction model for the vulnerability of online fraud victims is a female respondent, aged 27.3 years, using Instagram and WhatsApp, currently living in Central Java Province, education background is high school, and the duration of using the internet more than eight hours a day, and status as a Student/College Student.
Analisis Keamanan Sistem Informasi Akademik Menggunakan Open Web Application Security Project Framework
Authors: Mu'min Muh. Amirul , Fadlil Abdul , Riadi Imam
Published: October 2022

Information system security is one of the important things in the development of technology to protect comprehensive and structured data or information. The Academic Information System (SIA) has a service to receive requests in the form of HTTP or HTTPS protocol website pages from clients called browsers. Intruders can hack websites without the owner's knowledge. This research was conducted to find the vulnerability of SIA STIKES Guna Bangsa Yogyakarta. The framework used is the Open Web Application Security Project (OWASP) which is usually used to evaluate systems or applications. The tools used are WhoIs, SSL Scan, Nmap, and OWASP Zap. The results obtained were finding 12 vulnerabilities with four vulnerabilities at the medium level, namely Absence of Anti-CSRF Tokens, Cross-Domain Misconfiguration, Missing Anti-clickjacking Header, and Vulnerable JS Library, six at the low level namely Cookie Without Secure Flag, Cookie without SameSite Attribute, Cross-Domain JavaScript Source File Inclusion, Server Leaks Information via "X-Powered-By" HTTP Response Header Field(s), Timestamp Disclosure – Unix,  and X-Content-Type-Options Header Missing, and two at the informational level namely Content-Type Header Missing and Information Disclosure - Suspicious Comments.
Implementasi XGBoost Pada Keseimbangan Liver Patient Dataset dengan SMOTE dan Hyperparameter Tuning Bayesian Search
Authors: Ubaidillah Rahmad , Muliadi Muliadi , Nugrahadi Dodon Turianto , Faisal M Reza , Herteno Rudy
Published: October 2022

Liver disease is a disorder of liver function caused by infection with viruses, bacteria or other toxic substances so that the liver cannot function properly. This liver disease needs to be diagnosed early using a classification algorithm. By using the Indian liver patient dataset, predictions can be made using a classification algorithm to determine whether or not patients have liver disease. However, this dataset has a problem where there is an imbalance of data between patients with liver disease and those without, so it can reduce the performance of the prediction model because it tends to produce non-specific predictions. In this study, classification uses the XGBoost method which is then added with SMOTE to overcome class imbalances in the dataset and/or combined with Bayesian search hyperparameter tuning so that the resulting model performance is better. From the research, the results obtained from the XGBoost model get an AUC value of 0.618, for the XGBoost model with Bayesian search the AUC value is 0.658, then for the XGBoost SMOTE model the AUC value is 0.716, then for the XGBoost SMOTE model with Bayesian search the AUC value is 0.767. From the comparison of the four models, XGBoost SMOTE with Bayesian search obtained the highest AUC results and has an AUC difference of 0.149 compared to the XGBoost model without SMOTE and Bayesian search.
Penerapan Algoritma Apriori pada Sistem Informasi Inventori Toko
Authors: Albab Muhammad Ulil , Hidayatullah Deny
Published: October 2022

In this contemporary era, meals wishes are a vital want for all people, a variety of commercial enterprise companies that sell their products are coming and growing quite significantly, besides that, dynamic web users in this country are growing quite rapidly every year. Resulting in business actors competing with each other to explore various technical options in terms of data processing to find out information on the availability of incoming goods and goods sold. In this study, a business still uses a manual system here and a computerized system will be created to assist business people in processing goods data in their business, then obtain information related to inventory and profit income. This web-primarily based totally stock statistics device additionally applies apriori information mining to decide income styles on the way to later grow to be patron advice statistics. The results obtained in this study are the creation of a web-based inventory information system by applying apriori data mining aimed at Toko Tri.
메타버스 플랫폼, 가상공간, 창의융합, 팀기반 학습, 협력적 문제해결
Authors:   The Korea Association of Education Consulting & Coaching, KAECC, Kim Insook
Published: October 2022

The purpose of this study was to propose implications for the use of the metaverse platform in terms of education through the case of operating the creative convergence project of A university case using the metaverse platform. To this end, the metaverse platform observed participation in the activity process in the project learning activity environment designed in the virtual space, Gathertown, and conducted a survey and interview with learners after the activity. As a result of the study, the survey showed high interest in the metaverse platform, the necessity of pre-education on how to use it, the degree of intimacy formation, interaction, solidarity formation, reality, team activity immersion, satisfaction with the team activity process, and team activity results. In the in-depth interview, the positive effects of using other metabus platforms were confirmed such as self-expression for non-face-to-face identity, achievement of cooperative problem solving, collaboration and creativity through various tools, learning contextual experience through sharing of game and learning contents, in-depth learning and space design. Based on the results of this study, various implications for the use of the metaverse platform for creative convergence education at the university level were derived. The results of this study are expected to be used as basic data for the educational use of metaverse in universities.
Wandering in Mindspongeland with the BMF analytics workhorse
Authors: La Viet-Phuong
Published: October 2022

So, it’s time for ECRs to embark on a new journey, seeing the landscape and picking the flowers and fruits from Mindspongeland. We are always here waiting for you, dear colleagues.
Letter to the editor regarding “A Novel, Brief, Fully Automated Intervention to Extend the Antidepressant Effect of a Single Ketamine Infusion: A Randomized Clinical Trial”
Authors: Cristea Ioana , Florian NAUDET , Fried Eiko I
Published: October 2022

Letter to the editor regarding “A Novel, Brief, Fully Automated Intervention to Extend the Antidepressant Effect of a Single Ketamine Infusion: A Randomized Clinical Trial”
Efficient Estimation of Climate State and Its Uncertainty Using Kalman Filtering with Application to Policy Thresholds and Volcanism
Authors: Nicklas John , Fox-Kemper Baylor , Lawrence Charles
Published: October 2022

We present the Energy Balance Model – Kalman Filter (EBM-KF), a hybrid model of the global mean surface temperature (GMST) and ocean heat content anomaly (OHCA). It combines an annual energy balance model (difference equations) with 17 parameters drawn from the literature and a statistical Extended Kalman Filter assimilating GMST and OHCA, either observed timeseries or simulated by earth system models. Our motivation is to create an efficient and natural estimator of the climate state and its uncertainty, which we believe to be Gaussian at a global scale. We illustrate four applications: 1) EBM-KF generates a similar estimate to the 30-year time-averaged climate state 15 years sooner, or a model-simulated hindcasts’ annual ensemble average, depending on the preparation of volcanic forcing. 2) EBM-KF conveniently assesses annually likelihoods of crossing a policy threshold, e.g., based on temperature records up to the end of 2023, p=0.0017 that the climate state was 1.5°C over preindustrial, but a 16% likelihood that the GMST in 2023 itself could have been over that threshold. 3) The EBM-KF also approximates the spread of an entire climate model large ensemble using only one or a few ensemble members. 4) The EBM-KF is sufficiently fast to allow thorough sampling from non-Gaussian probabilistic futures, e.g., the impact of rare but significant volcanic eruptions. This sampling with the EBM-KF better determines how future volcanism may affect when policy thresholds will be crossed and what an ensemble with thousands of members exploring future intermittent volcanism reveals.
Planetary Scale Analysis of the Morphology of River Channels and Channel Belt Deposits
Authors: Nyberg Bjorn , Henstra Gijs , Gawthorpe Robert , Ravnås Rodmar , Ahokas Juha
Published: October 2022

The morphology of a river and its channel belt is in part the product of ecological, hydrological and tectonic processes shaping the terrestrial landscape. River morphology is critical for understanding their physical evolution through time, and in predicting the future behavior of rivers and floods. To date, there is no global-scale, quantitative study of the morphology of rivers and their channel belt deposits. Based on a pattern recognition algorithm, we can calculate that the global surface area of channel belts, at an approximate 1 km resolution, is estimated at 30.5 x 105 km2, seven times larger than the extent of river channels. We find that 52% of river channels have a more braided planform morphology with the remaining 48% being more meandering. The new global river morphology (GRM) map and datasets allows new ways to study river morphology and to improve analysis of flood mitigation, freshwater resources management, and ecosystem accounting.