bluuebunny/crossref_metadata_2025_split huggingface dataset:
Криогенные ресурсы в системе жизнеобеспечения русских арктических старожилов Якутии в первой трети ХХ в. (по материалам Комиссии по изучению Якутской АССР)
Authors: Сулейманов А.А. , Боякова С.И. 
Published: January 2025

В статье на материалах, аккумулированных в ходе работы Комиссии по изучению Якутской Автономной Советской Социалистической Республики, рассматриваются практики использования русскими арктическими старожилами Якутии криогенных ресурсов в 1900–1920-е гг. В этой связи анализируется роль эксплуатации свойств природного холода, снега, льда и «вечной мерзлоты» в системе жизнеобеспечения представителей названного этнического сообщества. Отмечено, что практики использования криогенных ресурсов были глубоко интегрированы в систему жизнеобеспечения двух локальных групп русского старожильческого населения, являясь ее органичной частью. При этом выявленные практики формировали взаимосвязанные комплексы.
In this work, based on materials accumulated during the work of the Commission for the Study of the Yakut Autonomous Soviet Socialist Republic, for the first time purposefully considers the experience of the use of cryogenic resources by Russian Arctic old-timers of Yakutia. The aim of the study is to reconstruct the practices and identify the role of the use of cryogenic resources in the life support system of Russian Arctic old-timers of Yakutia in the first third of the 20th century. The methodological basis for the development of the topic was the application of the principles laid down in Cryosophy and Cryoanthropology. The work carried out allowed us to establish that during the specified period, the practices of using cryogenic resources were deeply integrated into the life support system of two local groups of Arctic old-timers of Yakutia, being its organic part. At the same time, it is noted that the identified practices actually formed interconnected complexes. The most obvious example is the fishing industry of Russian Arctic old-timers. Thus, a significant part of fishing techniques was carried out with the support of cryogenic processes, including ice formation and ice drift. Fish were stored using natural cold and special structures. Cryogenic action was one of the key elements in the preparation of traditional dishes of Russian Arctic old-timers from fish and fish by-products, as well as dog food.
Кросскультурный анализ языковых практик и языковых установок русской молодежи и молодежи саха (на материале г. Якутска и Таттинского улуса)
Authors: Данилова Р.А. , Иванова Н.И. 
Published: January 2025

Русская молодежь г. Якутска и молодежь саха Таттинского улуса представляют собой два полярных вектора регионального культурного континуума, исследование языковых практик и языковых установок которых позволяет получить актуальный материал для описания ценностей, речевого поведения носителей взаимодействующих языков, а также содержание установок, необходимых для лингвопрогнозирования. Основной вывод состоит в том, что родной язык носителями обоих языков признается как наиболее значимая ценность; содержание языковых практик, языковых установок обусловлено степенью языковой витальности и др. экстралингвистическими факторами; существует прямая корреляция якутско-русского билингвизма и паритетного билингвизма; прогнозируется сокращение ресурсов паритетности билингвизма.
The identification of both common features and differences within ethnolinguistic cultures, as well as the attribution of national-linguistic relations, remain relevant and promising areas in cross-cultural research. This article presents contemporary meanings in interethnic and national-linguistic relations in the region, based on quantitative and qualitative measurements of language practices and attitudes among Russian and Sakha youth. Russian youth in Yakutsk and youth in the Tattinsky Ulus represent two polar vectors within the regional cultural continuum, where the study of their language practices and attitudes provides essential insights into the values, speech behavior of speakers of interacting languages, and attitudes necessary for linguistic forecasting. The main conclusion is that the native language is recognized by speakers of both languages as a highly significant value and an essential attribute of both linguocultures. The content of language practices and attitudes is determined by the degree of linguistic vitality and other extra-linguistic factors. A direct correlation was found between Yakut-Russian bilingualism and parity bilingualism, with language shift processes among children predicting a reduction in the resources for parity bilingualism, a critical component of harmonious interethnic relations in the region.
Лексико-семантические особенности форм, восходящих к индоевропейской основе *dō- (на материале «Повести временных лет»)
Authors: Казазаева М.А. 
Published: January 2025

В статье представлены результаты работы по изучению лексико-семантических и грамматических особенностей древнерусского глагола ДАМЬ, а также производных от него форм, восходящих к индоевропейской основе *dō-, зафиксированных в тексте летописного свода «Повесть временных лет». Автором показано, что анализируемые формы составляют упорядоченную систему, элементы которой в процессе истории русского языка образовали универсальную парадигму на базе слияния двух основ ДА- и ДАЯ- / ДАВА-. Отмечено, что глагол ДАМЬ, с одной стороны, демонстрирует стабильность номинативного ядра, с другой – показывает высокий уровень продуктивности производных образований.
The purpose of the article is to analyze the lexico-semantic features of verbal and nominal forms formed from the Indo-European stem *dō-, presented in the text of the ancient Russian chronicle “The Tale of Bygone Years”. Scientific novelty lies in an integrated approach to the description of the phenomena being studied, taking into account data from linguistic research in recent years. The research was carried out using the descriptive-historical method, as well as contextual. The author shows that the analyzed forms, constituting an ordered system, the elements of which, in the course of the history of the Russian language, formed a universal paradigm based on the merging of the two bases DA- and DAYA-/DAVA-, in the text of the analyzed source showed a high level of productivity, while maintaining the stability of the nominative core common root *dō-, also demonstrating such characteristics as polysemy and the presence of semantic syncretism.
Development of the heat supply system of prosumer in the conditions of transition to carbon-free energy
Authors: Stennikov V.A. , Tashlykova V.B. , Barakhtenko E.A. , Sokolov D.V. 
Published: January 2025

Статья посвящена особенностям выбора дополнительного источника теплоснабжения в интеллектуальной интегрированной энергосистеме – при моделировании активного потребителя возникает ряд вопросов, связанных с реализацией его функциональных свойств, в особенности при управлении им собственными источниками энергии, относящимися к распределенной энергетике. Переход к безуглеродной энергетике в теплоснабжении подразумевает использование ВИЭ, альтернативных источников тепла и электротеплоснабжение. Как известно, периоды пикового потребления тепловой и электрической энергии преимущественно совпадают, вследствие этого, создается высокая нагрузка на электроснабжающую систему. Если электротеплоснабжение является единственным источником тепла, то даже кратковременное отключение электроэнергии приводит к прекращению теплоснабжения. Следовательно, необходим дополнительный источник тепловой энергии, который снизит нагрузку на электроснабжение и позволит получать выраженную ежегодную экономию затрат. Для этого важно проанализировать эффекты, оказываемые различными подходящими источниками, не производящими при эксплуатации выбросов загрязняющих веществ. С этой целью были рассмотрены возможные конфигурации источников, проведен анализ предложенных конфигураций источников тепла с точки зрения энергетической и экономической эффективности. В статье представлена математическая модель активного потребителя, позволяющая учитывать ограничения по выработке тепла ВИЭ, включать в схему накопитель тепловой энергии, соблюдать энергетический баланс и находить оптимальный вариант схемы теплоснабжения. Задача развития схемы теплоснабжения активного потребителя с учетом перехода к безуглеродной энергетике была сформулирована и решена с помощью смешанно-целочисленного программирования. В итоге проведенной оптимизации к основному источнику был выбран дополнительный источник, позволяющий существенно сократить затраты на теплоснабжение.
Application of the Machine Learning Method for Predicting International Tourists in West Java Indonesia Using the Averege-Based Fuzzy Time Series Model
Authors: Nurhayati Sri , Syahrul Syahrul , Lubis Riani , Wicaksono Mochamad Fajar 
Published: January 2025

The purpose of this study is to propose whether an average-based fuzzy time series model is appropriate for use in predicting the number of foreign tourists coming to West Java, Indonesia. Machine learning is a branch of artificial intelligence where machines are designed to learn on their own without human direction. One of the machine learning methods used by data science is for prediction processes, such as predicting the number of tourists. Tourism is one of the economic sectors that has a direct impact on the community's economy. Based on data from the Badan Pusat Statistik (BPS), the number of tourists coming to West Java Indonesia fluctuates, meaning that the number can increase and decrease every month and year. Changes in the number of tourists that fluctuate are one of the problems that have an impact on tourism actors. Therefore, the solution given to answer this problem is that an appropriate model is needed to predict the number of tourists visiting West Java. The contribution of this research is to help related parties in predicting the number of foreign tourists so that it can be used as one to make policies related to tourism preparation and planning efforts in West Java, Indonesia. The method used in this research is a case study approach, where the case study is taken from data on foreign tourists visiting West Java from 2017 to 2020. For the prediction process, the method used is the fuzzy time series method and the average length-based algorithm as the determinant of the interval length. Effective interval length can affect prediction results with a higher level of accuracy. Based on the prediction test results, the Mean Absolute Percentage Error (MAPE) value is 14.71%. These results indicate that the fuzzy time series model based on the average interval length is good for prediction.
Comparison of Support Vector Machine (SVM) and Random Forest Algorithm for Detection of Negative Content on Websites
Authors: Syahputra Hermawan , Wibowo Aldiva 
Published: January 2025

The amount of negative content circulating on the internet can damage people's morale so that social conflicts arise in society that threaten national sovereignty. Detecting negative content can help identify and prevent harmful events before they occur. This can lead to a safer and more positive online environment. Comparison of Support Vector Machine (SVM) and Random Forest (RF) Algorithm for Detection of Negative Content on Websites. The research contributions are 1) detect negative content on the internet with random forest and SVM, 2) comparing SVM and RF algorithms for detecting negative content on websites, 3) detection of negative content based on text focusing on the categories of fraud, gambling, pornography and Whitelist. The stages of this research are preparing a text content dataset on a website that has been labeled, preprocessing (duplicated data, text cleansing, case folding, stopward, tokenize, label encoding, data splitting, and determine the TF-IDF), finally performing the classification process with SVM and Random Forest. The dataset used in this study is a structured dataset in the form of text obtained from emails that have been registered on the TrustPositive website as negative content. Negative content includes fraud, pornography and gambling. The results show the accuracy of the SVM is 97%, Precision 90% and Recall 91%, while for Accuracy in Random Forest is 92%, Precision 71%, and Recall 86%. The value obtained is the result of testing using 526 website URLs. The test results show that the Support Vector Machine is better than the Random Forest in this study.
Design and Implementation of IoT-Based Monitoring Battery and Solar Panel Temperature in Hydroponic System
Authors: Rahmatullah Rizky , Kadarina Trie Maya , Irawan Bagus Bhakti , Septiawan Reza , Rufiyanto Arief , Sulistya Budi , Santiko Arief Budi , Adi Puput Dani Prasetyo , Plamonia Nicco , Shabajee Ravindra Kumar , Atmoko Suhardi , Mahabror Dendy , Prastiyono Yudi 
Published: January 2025

Hydroponics is currently widely used for the effectiveness of farming in narrow areas and increasing the supply of food, especially vegetables. This hydroponic technology grew until it collaborated with the internet of things technology, allowing users to monitor hydroponic conditions such as temperature and humidity in the surrounding environment. This technology requires electronic systems to obtain cost-effective power coverage and have independent charging systems, such as power systems using solar panels, where the power received by solar panels from the sun is stored in batteries. It must ensure that the condition of the battery and solar panels are in good condition. The research contribution is to create a solar panel temperature monitoring system and battery power using Grafana and Android Application. Apart from several studies, solar panels are greatly affected by temperature, which can cause damage to the panels. If the temperature is too high, the battery and panel temperature monitoring system can help monitor the condition of the device at Grafana and Android application with sensor data such as voltage, current, temperature and humidity that have been tested for accuracy. Accuracy test by comparing AM2302 sensor with Thermohygrometer and INA219 sensor with multimeter and clampmeter, both of which have been calibrated. The sensor data gets good accuracy results up to 98% and the Quality-of-Service value on the internet of things network is categorized as both conform to ITU G.1010 QOS data based on network readings on the wireshark application. QOS results are 0% Packet loss with very good category, 14ms delay with very good category and Throughput 71.85 bytes/s. With the results of sensor accuracy and QOS, the system can be relied upon with a high level of sensor accuracy so that environmental conditions are monitored accurately and good QOS values so data transmission to the server runs smoothly.
XgBoost Hyper-Parameter Tuning Using Particle Swarm Optimization for Stock Price Forecasting
Authors: Pebrianti Dwi , Kurniawan Haris , Bayuaji Luhur , Rusdah Rusdah 
Published: January 2025

Investment in the capital market has become a lifestyle for millennials in Indonesia as seen from the increasing number of SID (Single Investor Identification) from 2.4 million in 2019 to 10.3 million in December 2022. The increase is due to various reasons, starting from the Covid-19 pandemic, which limited the space for social interaction and the easy way to invest in the capital market through various e-commerce platforms. These investors generally use fundamental and technical analysis to maximize profits and minimize the risk of loss in stock investment. These methods may lead to problem where subjectivity and different interpretation may appear in the process. Additionally, these methods are time consuming due to the need in the deep research on the financial statements, economic conditions and company reports. Machine learning by utilizing historical stock price data which is time-series data is one of the methods that can be used for the stock price forecasting. This paper proposed XGBoost optimized by Particle Swarm Optimization (PSO) for stock price forecasting. XGBoost is known for its ability to make predictions accurately and efficiently. PSO is used to optimize the hyper-parameter values of XGBoost. The results of optimizing the hyper-parameter of the XGBoost algorithm using the Particle Swarm Optimization (PSO) method achieved the best performance when compared with standard XGBoost, Long Short-Term Memory (LSTM), Support Vector Regression (SVR) and Random Forest. The results in RSME, MAE and MAPE shows the lowest values in the proposed method, which are, 0.0011, 0.0008, and 0.0772%, respectively. Meanwhile, the reaches the highest value. It is seen that the PSO-optimized XGBoost is able to predict the stock price with a low error rate, and can be a promising model to be implemented for the stock price forecasting. This result shows the contribution of the proposed method.
Substantiation of the temperature regime of the differential pump of electromagnetic action
Authors: Korobko Bogdan , Pavlikov Andriy , Kivshyk Anton 
Published: January 2025

The article discusses the temperature of the working body caused by Foucault currents circulating inside of the working body of a differential pump of electromagnetic action. The article begins with a theory describing the nature of the Foucault current and the causes of the plunger heating. Then there is a characteristic of the differential pump of electromagnetic action. The following is a description of the structures of the working bodies of the differential pump of electromagnetic action. The estimated data of the working body are entered in the table. These tables are taken into account when plotting. The theory substantiates the conditions of heating of the working body, the existence of eddy currents, and also the influence of the temperature of the actuator on the operation of the differential pump. The description shows what role the plunger plays in the operation of the differential pump. The article described in detail the interaction of the working body and the solenoid of the differential pump.
The effect of gas hydrates self-preservation in the process of their industrial development
Authors: Zezekalo Ivan , Kobolev Volodymyr , Lukin Oleksandr , Vynnykov Yuriy , Safronov Anatoly 
Published: January 2025

The negative influence of the gas hydrates (GH) self-preservation effect on the course of the technological process of their industrial development by the depressurization method is considered. The main parameters of the self-preservation manifestation: the porosity of the hydrate and its morphological characteristics are justified. An important practical conclusion was made that solving the problems of gas hydrates self-preservation should be facilitated by the selection of the optimal operation mode for the production well, which would harmonize the hydrate porosity and its morphological characteristics, and at the same time ensure the maximum possible production and control over the processes of gas hydrates dissociation.
Teaching Eco-Literacy: What is The Challenge in Indonesian Elementary School
Authors: Perwitasari Ningrum , Septikasari Zela , Prihandoko Yogi 
Published: January 2025

Environmental awareness is an important part of environmental sustainability, but environmental awareness in society, including students, is still low. This can be seen from various studies conducted previously. Eco-literacy is one of the skills that can increase environmental awareness, but it is still rarely studied. This study aims to evaluate how eco-literacy has been implemented, the challenges in implementing eco-literacy, and the ideal implementation of eco-literacy for teachers in elementary school. Data collection was conducted using qualitative methods and quistionnaire techniques. Sixty teachers from Yogyakarta, Central Java, and Jakarta were interviewed. The results of the research show that eco-literacy has been implemented in elementary schools through subjects, the challenges teachers face in implementing eco-literacy are learning methods, media, and learning resources and teachers hope that eco-literacy can be implemented based on constructivist learning theory with appropriate syntax. Based on the findings in this study, it can be concluded that eco-literacy has been implemented in elementary schools, but there are still many challenges faced so that eco-literacy can be successfully implemented.
PENANAMAN KARAKTER ANAK SEKOLAH DASAR MELALUI METODE SOSIODRAMA DALAM PEMBELAJARAN PENDIDIKAN KEWARGANEGARAAN
Authors: Putra I Ketut Alit Feri Saha , Lestari Nyoman Ayu Putri 
Published: January 2025

Perkembangan zaman telah membawa pengaruh – pengaruh negatif bagi anak bangsa di Indonesia. Dimana terjadinya pelemahan karakter anak bangsa yang ditandai banyaknya kasus – kasus negatif yang dilakukan oleh pelajar. Kasus – kasus yang kini marak terjadi yaitu mengenai kasus bullying ,tawuran antar, pelecehan seksual, dan penyebaran foto – foto serta video tidak senonoh melalui grup oleh siswa. Tujuan artikel ini yaitu untuk memahami serta mengetahui tentang bagaimana cara menanamkan karakter kepada anak SD dengan metode pembelajaran yang interaktif yaitu sosiodrama didalam mata pelajaran Pendidikan Kewarganegaraan. Jenis penelitian yang digunakan yaitu penelitian deskriptif dan kualitatif dengan penekanan pada penelitian kepustakaan. Penelitian kepustakaan ini mengacu pada penelitian yang menggunakan bahan pustaka untuk memperoleh data penelitian. Pendidikan Kewarganegaraan adalah mata pelajaran yang tepat guna menanamkan nilai - nilai, karakter, budi pekerti serta moral baik dalam kehidupan sehari – hari anak melalui pendidikan Pancasila yang ada didalamnya. Dan diterapkannya metode sosiodrama dalam Pendidikan Kewarganegaraan bisa mendukung siswa dalam mencerna materi pembelajaran yang diberikan oleh guru melalui berperan secara langsung dalam permasalahan sosial yang dihadapi. Melalui metode ini juga guru mengajarkan baimana cara anak berperiaku dalam berhubungan sosial. Sehingga dengan demikian dapat disimpulkan bahwa, metode ini tepat digunakan oleh guru dalam upaya penanaman karakter untuk anak usia Sekolah Dasar.
Analisis Penjadwalan Proyek Konstruksi dengan Metode Precedence Diagram Method (studi kasus: Proyek Pembangunan Mitra 10 Purwokerto)
Authors: Dari Puput Wulan , Anjarwati Sulfah , Suksmono Arif Kurniawan 
Published: January 2025

Penjadwalan proyek merupakan pengalokasian waktu yang tersedia untuk melaksanakan masing-masing pekerjaan dalam rangka menyelesaikan suatu proyek hingga tercapai hasil optimal dengan mempertimbangkan keterbatasan-keterbatasan yang ada. Penjadwalan yang tepat memungkinkan manajer proyek untuk mengatur sumber daya dengan efisien, mengidentifikasi jalur kritis proyek, dan menghindari keterlambatan yang tidak diinginkan. Dalam pelaksanaannya proyek Pembangunan Mitra 10 Purwokerto mengalami keterlambatan dari kontrak awal yang menyebabkan kerugian biaya dan waktu. Penyebabnya adalah karena faktor keterlambatan datangnya material dan tertundanya suatu pekerjaan, oleh karena itu penulis menganggap perlu ada penjadwalan yang benar-benar optimal untuk mengatasi permasalahan ini. Precedence Diagram Method adalah salah satu metode penjadwalan proyek, setelah dilakukan analisis metode ini, hasil penelitian pada proyek Pembangunan Mitra 10 Purwokerto menghasilkan durasi 259 hari, Critichal Path Method dengan menggunakan data realisasi menghasilkan 308 hari dan Kurva-S merencanakan 274 hari. Berdasarkan penelitian yang dilakukan, Precedence Diagram Method paling cepat untuk menyelesaikan proyek Pembangunan Mitra 10 Purwokerto, karena durasi pekerjaan tersebut lebih cepat dari estimasi Critichal Path Method dan Kurva-S perencanaan.