bluuebunny/crossref_metadata_2025 huggingface dataset:
Strength of Social Environmental Support and Off-Farm Accessibility as Determinants of Young Farmers' Willingness to Persist in Agriculture
Authors: Fitrianti Wanti , Sudrajat Jajat , Suyatno Adi
Published: January 2025

The poor regeneration of farmers is a significant strain on the Indonesian agricultural sector. The negative stereotypical view of the farming profession is the cause of the reluctance of the younger generation to get involved and persist in agriculture. However, there is a strong potential for environmental support and land access as well as access to off-farm work to be factors that can encourage young farmers to remain in agriculture. The purpose of this study is to analyze the determinants of the willingness of young farmers to continue in the agricultural sector, specifically on the outskirts of Pontianak, West Kalimantan. This is accomplished by taking into account the proximity of the area to the city center, as well as certain demographic factors, in which the choice of occupation and decision to remain a farmer presents numerous obstacles. This study took a quantitative approach, with a sample size of 47 persons, and was analyzed using logistic regression. The findings of the study indicate that social environmental support from family and residents has a significant impact on young farmers' willingness to continue in agriculture. Social environmental support will help to eradicate negative stereotypes about farming, increasing young farmers' trust and confidence that becoming a farmer will give them pride and a secure future.  The results of this study also demonstrate that growing levels of education, farming experience, and off-farm job access improve the likelihood of young farmers' willingness to continue in the agricultural sector.
Peran Penyuluh dalam Meningkatkan Kapasitas Peternak melalui Penerapan Sistem Peternakan Berkelanjutan
Authors: Nurlina Lilis , Yunasaf Unang , Sulistyati Marina , Alim Syahirul , Mauludin M. Ali
Published: January 2025

This research discusses the important role of livestock extension workers in enhancing the capacity of farmers to implement sustainable farming systems. Livestock Farming in Indonesia faces serious challenges, such as a decline in resource quality and dependence on conventional practices that are not environmentally friendly. One of the solutions introduced is the Low External Input Sustainable Agriculture (LEISA) system, which emphasizes the use of local resources and the minimization of external inputs. This research aims to explore the role of extension workers in assisting farmers to understand and adopt LEISA systems through technology transfer and technical guidance. The research method uses literature study with qualitative descriptive analysis, collecting data from various scientific journals, books, and related documents. The discussion results show that the extension worker plays the role of facilitator, motivator, communicator, and consultant. Although there are some limitations in the role of the extension worker as a facilitator and technology transfer agent, the roles of motivator and consultant are already quite effective. Extension workers also play an important role in promoting LEISA, assisting farmers in natural feed management, and utilizing livestock waste for agriculture. With the involvement of extension workers, it is hoped that farmers can increase livestock productivity while maintaining ecosystem balance and environmental sustainability.
Analisis Risiko Produksi Sorgum (Sorghum bicolor) sebagai Pakan Alternatif di PT Juang Jaya Abdi Alam
Authors: Rinaldi Al-Bara Fuad , Noer Irmayani , Anggraini Nuni , Zaini Muhammad
Published: January 2025

Global warming is increasingly impacting the agricultural sector. Climate change such as prolonged drought affects crop production and productivity. PT Juang Jaya Abdi Alam is a company engaged in cattle fattening, facing challenges in providing quality green fodder. The impact of lack of green fodder on livestock health can result in slow weight gain. The purpose of this study was to analyze the risks in sorghum production used as an alternative feed for livestock at PT Juang Jaya Abdi Alam. This research method uses a descriptive method with data and information obtained processed qualitatively and quantitatively. The analysis method uses descriptive analysis and coefficient of variation (CV) production risk analysis. The results of the study showed that the sources of sorghum production risk include; the influence of weather and climate, pest and disease attacks, selection of agricultural inputs, and technical errors of workers. The results of the production analysis showed a CV value of 0.41 where the resulting CV value is smaller than 0.5, meaning that the risk of sorghum production at PT JJAA is in the low category. The lower limit of production is 2,093.35, which means that the lowest possible production risk of sorghum cultivation per farm per planting season is 2,093.35 kg/farm.
Предварительные результаты изучения берестяных грамот из археологических раскопок Якутского острога в 2024 г.
Authors: Визгалов Г.П. , Фролов И.В. , Горшков И.Д.
Published: January 2025

Статья посвящена главному открытию археологических раскопок 2024 г. в Якутске – берестяным грамотам, найденным на территории Якутской крепости. Обнаруженные одиннадцать фрагментов берестяных грамот впервые вводятся в научный оборот. Приведено их описание и предварительное прочтение. Установлено, что грамоты относятся к первой четверти XVIII в. и представляют собой памятники делопроизводственной документации: десять фрагментов имеют отношение к одному документу – ясачной книге, один фрагмент является, предположительно, наказом воеводе Олюторского острога.

The article is devoted to the main discovery of the archaeological excavations of 2024 in Yakutsk — the first birch bark letters found on the territory of the Yakut fortress. Eleven fragments of birch bark letters have been found and are being introduced into scientific circulation for the first time. The description of the found fragments and their preliminary reading are given. The letters refer to the first quarter of the 18" century and are monuments of office documentation. It has been established that 10 fragments relate to one document — the book of accounting for the collection of fur tax (yasak) and 1 fragment is presumably an order to the governor of the Olyutorskaya fortress.
Открывая заново «Таймырскую находку»
Authors: Окладникова Е.А.
Published: January 2025

«Таймырскую находку» составили вещи, найденные топографами Восточно-Таймырской гидрографической экспедиции в 1940‒1941 гг. на о. Фаддея Северный и на берегу залива Симса. Долгое время часть артефактов (медные котлы и др.) этой коллекции, получившей среди музейных работников название «фаддеевская коллекция», считались утраченными, но были вновь обнаружены в Новосибирске. В результате проведенных автором архивных и музейных поисков удалось по-новому прочесть надписи на именных ножах и текст «жалованной грамоты», а сравнительный атрибутивный и искусствоведческий анализ медных котлов позволил выявить их голландское происхождение.

The “Taimyr Find” consisted of items found by topographers of the East Taimyr Hydrographic Expedition in 1940-1941 on the island of Faddey Severny and on the shore of the Simsa Gulf. For a long time, some of the artifacts (copper cauldrons, etc.) of this collection, which was called the “Faddeyev collection” by museum workers, were considered lost, but were rediscovered in Novosibirsk. As a result of archival and museum searches conducted by the author, it was possible to re-read the inscriptions on the personal knives and the text of the “charter”, and a comparative attributive and art history analysis of the copper cauldrons made it possible to reveal their Dutch origin.
К вопросу об исполнении воинской обязанности русским населением Якутии в XVIII ‒ начале XX вв.
Authors: Батюшкин П.Д.
Published: January 2025

В последние годы значительно возрос интерес к проблемам, связанным с изучением военных традиций в Якутии. Однако до сих пор открытыми остаются вопросы о количестве призванных рекрутов: отсутствуют точные сведения об участниках Отечественной войны 1812 г., существует путаница между казаками и другими податными слоями населения, призываемыми в действующую армию. Незнание военного и административного законодательства того периода приводит к возникновению исторических мифов в историографии. Статья носит обзорный характер, автор ставит своей целью объяснить, как были организованы рекрутский набор и заменившая его всеобщая воинская повинность и каковы были реальные масштабы вовлечения населения в этот процесс.

The article examines issues related to recruitment into the active army in the 18th and early 19th centuries in Yakutia. Based on the documents, the approximate scale and mechanisms of recruitment in Yakutia are given. The article raises the question of the participation of the Yakut people in the Patriotic War of 1812. Since the liberation from conscription in 1810 for the first time in local scientific historiography, the processes that replace full-fledged recruitment sets have been described. Also, based on the documents, the approximate scale of conscripts for military service after the introduction of universal military service has been studied. For the first time, the number of conscripts from the Yakut region in the Russian-Japanese War is being introduced into scientific circulation. The issues of mobilization in 1914-1918 are considered. The article is of an overview nature and the author aims to explain how the recruitment was organized and the universal military service that replaced it, what was the real scale of the involvement of the Russian Yakutia population in this process. The author sees his main aim as overcoming historical myths in historiography in these issues.
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.
Impacts of Institutional Transformations in Energy Markets: The Baikal Region of Russia
Authors: Dyomina O.V. , Naiden S.N.
Published: January 2025

The paper examines the evolution of institutional conditions in the electricity markets of the Baikal region from 2018 to 2023. The fundamental market conditions remained unchanged, however, the key changes followed the inclusion of the Republic of Buryatia and the Transbaikal Territory into the Far Eastern Federal District (FEFD), which has a set of unique institutional frameworks designed to invigorate the economy. These include targeted measures aimed at improving economic accessibility of electricity by averaging tariffs on electricity and subsidizing expansion of networks through investment support and leveraging the infrastructure available in the advanced development areas. Features of regional energy system of the Baikal region are analyzed comparatively. The regional power systems of the Transbaikal Territory and Buryatia are technologically inferior to those of their neighbors (the Irkutsk Region in the Siberian Federal District and southern regions of the Far Eastern Federal District). This technological disparity can be attributed to several key factors: a heavy reliance on thermal power plants, extensive wear and tear on infrastructure, and inadequate development of low-voltage networks. The study also examines the scale, structure, and dynamics of electricity consumption in the Baikal region and estimates economic accessibility of electricity for local population. Although the Republic of Buryatia and the Transbaikal Territory have comparable income levels and higher tariffs than Irkutsk Region, they experience the lowest electricity accessibility among all subjects of the Far Eastern Federal District. These data indicate that Buryatia and the Transbaikal Territory lack any significant competitive advantages in energy accessibility when compared to their neighboring areas.
An Outlook for Alternative Fuel Demand in Road Transport: The Case of the Irkutsk Region
Authors: Maksakova D.V. , Popov S.P.
Published: January 2025

The paper presents an approach to making projections of demand for alternative fuels in road transport with a focus on natural gas, electricity, and hydrogen. The proposed approach is based on chaining multiple simulation models (both econometric and deterministic) that capture the changes in the number of vehicles on the roads, sales structure, and energy efficiency. The models are tailored to available statistical data on the vehicle fleet in regions of Russia. We explore the main features of road transport in the Irkutsk region and project the demand for alternative fuels by the transport sector under the innovation-driven scenario of regional economic development. Despite recent vehicle purchases in the sector of municipal passenger transport and the increased motorization rate, today’s vehicle fleet is in need of renewal. The key takeaway from this study is that the growth of population will favor the market for vehicles running on alternative fuels; however, the market size depends on vehicle affordability, gas supply to the region, and government support.
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.
Ranges of Cost-effectiveness of Alternative Energy Carriers for Heating Residential Buildings and Social Facilities
Authors: Stennikov V.A. , Golovshchikov V.O. , Penkovskii Andrey , Osak A.B.
Published: January 2025

The energy system of the Irkutsk region has been characterized by excess electricity for many years, since it encompasses several large-scale hydropower and co-generation power plants, and a developed electrical network operating at various voltage levels. In the last three years, the southern part of the region has faced a shortage of electrical power, which has received significant attention and become the subject of discussion and control by federal and regional authorities. The study shows that the shortage of electrical power in the region stems not only from cryptocurrency mining but also from the rapid surge in individual housing construction with electric heating systems. This construction was not coordinated with plans for the development of electrical networks. This paper explores a potential solution to reduce the shortage of electric power by promoting the adoption of natural gas in new individual houses at average Russian prices.
Field Studies of Technologies for Reducing Frost Heaving of Line Supports in the Conditions of the Republic of Sakha (Yakutia)
Authors: Bolvshev K. , Efimov V.M. , Belyakov V.M. , Unzhakov A.S.
Published: January 2025

Frost heaving of power transmission line supports in regions with permafrost soils directly affects the reliability and uninterruptible operation of power supply systems. The article provides information on the work on field studies of the effectiveness of using anti-heaving coatings and shells "Reline" in application to wooden and concrete foundations of overhead power transmission line supports to reduce the tangential forces of frost heaving of soils in the climatic and geocryological conditions of the Republic of Sakha (Yakutia). During the work, a test site was set up on a heaving site in the city of Yakutsk, 12 cycles of monitoring the altitude position of the support foundations and the temperature regime of the soil were carried out. The obtained results demonstrate the efficiency of using the tested coatings in the conditions of the Republic of Sakha (Yakutia).The work was carried out by Yakutsk Design Research Institute of Construction and Ural Plant of Polymer Technologies "Mayak" by order of PJSC "Yakutskenergo".
Предварительные оценки экономических эффектов от доставки мтСПГ в удаленные районы с использованием дирижаблей
Authors: Gaivoronskaya M.S. , Semikashev V.V.
Published: January 2025

В статье предлагаются предварительные оценки эффектов на выпуск от доставки мтСПГ в удаленные районы с использованием дирижаблей. Приводятся основные производственные площадки в качестве источников поставок мтСПГ, а также основные производители дирижаблей в России. Авторы оценивают стоимость разных вариантов энергоснабжения удаленных регионов, среди которых использование нефтепродуктов и угля. Таким образом, оцениваются эффекты для потребителя, после чего производится оценка эффектов на экономику с детальным описанием межотраслевых связей. Наибольшие эффекты оказываются на обрабатывающую отрасль и топливно-энергетический комплекс. С одной стороны, результаты расчетов являются дискуссионными, успешность реализации проекта сильно зависит от перенаправления используемых в настоящее время нефтепродуктов, производство которых вносит существенных вклад в экономику и бюджет, на другие рынки. С другой стороны, значимая доля стоимости нефтепродуктов субсидируется, что в случае перехода на природный газ высвободит финансовый ресурс государства. С учетом неоднозначности выводов для проекта доставки мтСПГ в удаленные регионы с помощью дирижаблей предлагаются и описываются прочие направления их использования, среди которых транспорт и логистика, нефтегазовая и лесная отрасли, сектор электроэнергетики, социальная и жилищно-строительная сферы. Завершают статью будущие задачи в продолжение текущего исследования.
فاعلية المختبر الافتراضي في اكتساب مفاهيم الحركة الدورية في مادة الفيزياء لدى طالبات الصف الحادي عشر في محافظة جنوب الشرقية - سلطنة عمان
Authors: الصلتي طاهر جمعة , كريشان أسامة مرزوق
Published: January 2025

هدفت الدراسة إلى الكشف عن فاعلية المختبر الافتراضي في اكتساب مفاهيم الحركة الدورية لدى طالبات الصف الحادي عشر في مادة الفيزياء، ولتحقيق هدف الدراسة فقد اتبعت المنهج التجريبي ذو التصميم شبه التجريبي وطبقت الدراسة في مدرستين من البيئة نفسها، حيث تكونت العينة من (59) طالبة من طالبات الصف الحادي عشر بمدرستي لبابة بنت الحارث للتعليم الأساسي (10-12) والخنساء للتعليم الاساسي (10-12) في محافظة جنوب الشرقية. تم توزيع العينة إلى مجموعتين، المجموعة التجريبية في مدرسة لبابة بنت الحارث وعددهن (27) طالبة درسن بطريقة المختبر الافتراضي، والمجموعة الضابطة في مدرسة الخنساء وعددها (32) طالبة تم تدريسهن بالطريقة الاعتيادية، خلال الفصل الدراسي الأول من العام الدراسي 2020/2019. أما أداة الدراسة فتمثلت في اختبار تحصيلي لمفاهيم الحركة الدورية في مادة الفيزياء وللتحقق من صدقه الظاهري تم عرضه على مجموعة من المحكمين، وتم حساب ثباته بواسطة معامل ألفا كرونباخ للاتساق الداخلي وأشارت نتائج الدراسة إلى وجود فروق ذات دلالة إحصائية بين متوسط درجات طالبات المجموعة التجريبية، ومتوســــــــــــــط درجات طالبات المجموعة الضـــــــــــــــابطة في التطبيق البعدي للاختبار التحصـــــــيلي لوحدة الحركة الدورية في مادة الفيزياء للصف الحادي عشر في الــدرجــة الكليــة للاختبــار، وجاءت الفروق لصـــــــالح عينة طالبات المجموعة التجريبية. وفي ضوء النتائج أوصى الباحث بضرورة توظيف معلمي الفيزياء للبرامج الافتراضية مثل: برنامج Crocodile و Edison و Circuit Shop عند شرح الوحدات المختلفة في مادة الفيزياء، كما اقترح إجراء المزيد من الأبحاث المماثلة لدراسة أثر فاعلية المختبرات الافتراضية على تعلم واكتساب المفاهيم الفيزيائية ليشمل أفرع وموضوعات أخرى للفيزياء.
Surface charge overrides protein corona formation in determining the cytotoxicity, cellular uptake, and biodistribution of silver nanoparticles
Authors: Barbalinardo Marianna , Chiarini Francesca , Teti Gabriella , Paganelli Francesca , Mercadelli Elisa , Bartoletti Andrea , Migliori Andrea , Piazzi Manuela , Bertacchini Jessika , Sena Paola , Sanson Alessandra , Falconi Mirella , Palumbo Carla , Cavallini Massimiliano , Gentili Denis
Published: January 2025

Silver nanoparticles (AgNPs) hold great promise in biomedical applications due to their unique properties and potential for specific tissue targeting. However, the clinical translation of nanoparticle-based therapeutics remains challenging, primarily due to an incomplete understanding of how nanoparticle properties influence interactions at the nano-bio interface, as well as the role of surface-adsorbed proteins (i.e. protein corona) in modulating nanoparticle-cell interactions. This study demonstrates that surface charge has a greater influence than protein corona formation in determining the cytotoxicity, cellular uptake, and biodistribution of AgNPs. Using negatively and positively charged AgNPs, we show that while protein corona formation is essential for ensuring nanoparticle availability for cellular interactions, the adsorption of biomolecules is non-specific and independent of surface charge. Conversely, surface charge significantly influences the interactions of AgNPs with cells. Positively charged nanoparticles exhibit enhanced cellular uptake, preferential accumulation in lysosomes, and pronounced mitochondrial damage compared to their negatively charged counterparts, resulting in greater cytotoxic effects. This effect is particularly evident in human breast cancer cells, where negatively charged nanoparticles show minimal uptake and cytotoxicity. These findings demonstrate that surface charge is the primary factor governing nanoparticle-cell interactions, rather than protein corona formation. Nonetheless, the protein corona plays a critical role in stabilizing nanoparticles within physiological environments.
Detection of Eight Skin Diseases Using Convolutional Neural Network with MobileNetV2 Architecture for Identification and Treatment Recommendation on Android Application
Authors: Furqon Ainul , Malik Kamil , Fajri Fathorazi Nur
Published: January 2025

Skin diseases are common in Indonesia due to the tropical climate, high population density, and low public awareness about skin health. These diseases are often caused by infections, chemical contamination, or other external factors and typically develop internally before becoming visible, with contact dermatitis being the most frequently reported condition. To address this issue, this research proposes the use of Artificial Intelligence (AI), specifically Convolutional Neural Network (CNN) with the MobileNetV2 architecture, to detect eight types of skin diseases, namely cellulitis, impetigo, athlete's foot, nail fungus, ringworm, cutaneous larva migrans, chickenpox, and shingles. MobileNetV2 was chosen for its efficiency and high accuracy in mobile applications. The methodology involves developing a detection system using CNN MobileNetV2, integrated into an Android application to identify skin diseases and provide treatment recommendations. The dataset was collected, labeled, resized, and normalized to meet the model requirements. After training, the model was tested using a separate dataset to ensure its generalization ability and was finally integrated into the Android application. This application allows users to detect skin diseases and receive treatment advice directly. The research results show that the CNN MobileNetV2 model achieves high accuracy in classifying the eight types of skin diseases, with stable performance over several training epochs. Evaluation of the test dataset revealed an overall accuracy of 97%, with high precision, recall, and F1-score for all disease classes. The application achieved an accuracy of 84% on general data, demonstrating its practical utility. However, the need for real-time updates of treatment information was identified as a limitation. This research advances skin disease detection technology and improves public access to accurate healthcare services. Future studies should focus on real-time treatment information updates and expanding the range of detectable diseases to enhance skin disease application.
Performance Analysis of Hybrid Optical Access Networks That Combine Fiber to The Home (FTTH) and Radio Over Fiber (RoF) Using Wavelength Division Multiplexing (WDM) for Network Efficiency
Authors: Ujang Febrizal , Al Nazen Aguinaldo
Published: January 2025

Today, people's need for communication has increased and telecommunication services have become basic needs in life. Therefore, broadband transmission system services are needed to support the quality of information flow between customers and the number of customers need access to available information. Fiber optic communication system is one that can be used to overcome these problems because it is very efficient and has high bandwidth. This system has several types of applications including for Fiber to the Home (FTTH) and Radio over Fiber (RoF). Usually, these two network systems are built separately, so the study of merging these two systems into a hybrid network is needed for future network efficiency. In previous research, several types of network combinations were carried out using the same wavelength, so they had to create separate components. In this research, a hybrid network design simulation was carried out using optisystem software that combines FTTH and RoF using Wavelength Division Multiplexing (WDM) so that only need to utilize existing components, then performance analysis was carried out in the form of power, Q factor, and Bit error rate (BER). WDM was chosen for several considerations, including increasing capacity, reducing costs, flexibility and scalability. The network is simulated using an OptiSystem, there is an FTTH system from transmitter to receiver consisting of OLT, ODF, ODC, ODP, to the ONT or customer device. Then there is the RoF system to support Wireless Gigabyte (WiGig) communications using QAM modulation. From the simulation carried out by varying the length of the fiber cable, the results of the FTTH network can be said to be suitable for meeting good performance parameters where the simulated performance value in the form of Q factor meets the performance feasibility standard of 6 and the BER is above 10-9, while the RoF at long certain cable system performance has not met feasibility. But overall, the hybrid system using multiplexing offered can work with the expected performance.
Genetic Algorithm and GloVe for Information Credibility Detection Using Recurrent Neural Networks on Social Media Twitter (X)
Authors: Ramadhani Andi Nailul Izzah , Setiawan Erwin Budi
Published: January 2025

Social media, especially X, has become a key source of information for many individuals, but the level of trust in the information spread on these platforms is a critical issue. To overcome this problem, this research proposed an information credibility detection system using a Recurrent Neural Network (RNN) with the utilization of TF-IDF feature extraction, GloVe feature expansion, BERT word embedding, and Genetic Algorithm (GA) optimization. This research contributes to assessing the credibility of tweets related to the 2024 Indonesian election by integrating TF-IDF to identify important words, GloVe to enhance word context, BERT for deeper understanding, and GA is present to optimize RNN performance. The main focus is to provide maximum accuracy by integrating these methods. In this research, the dataset used consists of 54,766 tweets relating to the 2024 Indonesia election and includes relatively equal numbers of credible and non-credible labels. The corpus construction utilized source X with a total of 40,466 data, IndoNews with a total of 131,580, and a combination of both with a total of 150,943. This research conducted six experimental scenarios, namely optimal data split, max features, N-grams, Top-N rank similarity corpus, BERT and GA application. Through these scenarios, the model achieved a significant accuracy improvement of 1.81% over the baseline, reaching an accuracy of 90.60%. This result demonstrates the effectiveness of the proposed system by presenting a higher quality of accuracy compared to the baseline model. Moreover, this research underscores the significant contribution of increasing the accuracy of information credibility detection.
Implementation of Fisherface Algorithm for Eye and Mouth Recognition in Face-Tracking Mobile Robot
Authors: Zarkasi Ahmad , Ubaya Huda , Exaudi Kemahyanto , Duri Ades Harafi
Published: January 2025

Facial recognition is an artificial intelligence algorithm that distinguishes one face from another by capturing facial patterns visually. This recognition specifically detects and identifies individuals based on facial features by scanning the entire face. Several methods are used for facial detection, including facial landmarks points, Local Binary Patterns Histograms (LBPH), and Fisherface. In the context of this research, Fisherface is used to reduce the dimensionality of facial space in order to obtain image features. The method is insensitive to changes in expression and lighting, leading to better pattern classification and making it suitable for implementation on mobile devices such as robot vision. Therefore, this research aimed to measure the response time speed and accuracy level of pattern recognition when implemented on mobile robot devices. The results obtained from the accuracy testing showed that the highest accuracy for face detection process was 90%, while the lowest was 78.3%. In addition, the average execution time (AET) for the fastest process was 1.63 seconds and the slowest was 1.72 seconds. For pattern recognition, the statistics showed 90% accuracy, 100% precision, 81.81% recall, and F-1 score of 89.5%. Meanwhile, the longest execution time was 0.084 seconds and the fastest was 0.064 seconds. In face tracking process, the mobile robot movement was based on real-time pixel sizes, determining x and y values to produce the center of face region.
Comparative Analysis of Optimizer Effectiveness in GRU and CNN-GRU Models for Airport Traffic Prediction
Authors: Riyadi Willy , Jasmir Jasmir
Published: January 2025

The COVID-19 pandemic has posed significant challenges to airport traffic management, necessitating accurate predictive models. This research evaluates the effectiveness of various optimizers in enhancing airport traffic prediction using Deep Learning models, specifically Gated Recurrent Units (GRU) and Convolutional Neural Network-Gated Recurrent Units (CNN-GRU). We compare the performance of optimizers including RMSprop, Adam, Nadam, AdamW, Adamax, and Lion, and analyze the impact of their parameter tuning on model accuracy. Time series data from airports in the United States, Canada, Chile, and Australia were used, with preprocessing steps like filtering, cleaning, and applying a MinMax Scaler. The data was split into 80% for training and 20% for testing. Our findings reveal that the Adam optimizer paired with the GRU model achieved the lowest Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) in the USA. The study underscores the importance of selecting and tuning optimizers, with ReduceLROnPlateau used to adjust the learning rate dynamically, preventing overfitting and improving model convergence. However, limitations include dataset imbalance and region-specific results, which may affect the generalizability of the findings. Future research should address these limitations by developing balanced datasets and exploring optimizer performance across a broader range of regions and conditions. This study lays the groundwork for further investigating sustainable and accurate airport traffic prediction models.
Deep Learning Approach For Sign Language Recognition
Authors: Triwijoyo Bambang Krismono , Karnaen Lalu Yuda Rahmani , Adil Ahmat
Published: January 2025

Sign language is a method of communication that uses hand movements between fellow people with hearing loss. Problems occur when communication between normal people with hearing disorders, because not everyone understands sign language, so the model is needed for sign language recognition. This study aims to make the model of the introduction of hand sign language using a deep learning approach. The model used is Convolutional Neural Network (CNN). This model is tested using the ASL alphabet database consisting of 27 categories, where each category consists of 3000 images or a total of 87,000 images of 200 x 200 pixels of hand signals. First is the process of resizing the image input to 32 x 32 pixels. Furthermore, separating the dataset for training and validation respectively 75% and 25%. The test results indicate that the proposed model has good performance with a value of 99% accuracy. Experiment results show that preprocessing images using background correction can improve model performance.
Optimal Scheduling of Electric Vehicle Charging: A Study Case of Bantul Feeder 05 Distribution System
Authors: Nugraha Candra Febri , Putra Jimmy Trio , Subekti Lukman , Suhono Suhono
Published: January 2025

The growing popularity of electric vehicles (EVs) has the potential to complicate distribution network operations. When a large number of electric vehicles are charging at the same time, the system load can significantly increase. This problem is exacerbated when charging is done concurrently in the evening, which coincides with peak load times. To prevent the increase in peak load and distribution operation stress, EV charging must be coordinated to achieve financial and technical objectives. This study seeks to evaluate the impact of financially driven EV charging scheduling algorithms. The contribution of this study is that the scheduling algorithm considers EV usage behavior based on real data as well as considers the state-of-charge (SoC) target set by EV owners. The proposed algorithm seeks to minimize the total charging cost incurred by EV owners using mixed-integer linear programming (MILP). The impact of the coordinated charging scheduling on the system demand profile and real distribution system operation metrics are also evaluated. The simulation result tested on the Bantul Feeder 05 system demonstrates that coordinated charging can reduce the charging costs by 57.3%. Furthermore, the peak load is reduced by 5.2% while also improving the load factor by 3.5% as compared to uncoordinated scheduling. Based on the power flow simulation, the proposed algorithm can reduce distribution transformer loading by 0.5% and improve voltage quality by 0.1% during peak load. This demonstrates that coordinated EV charging benefits not only the EV users but also the distribution system operator by preventing system operation issues.
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.
Motorcycling-Net: A Segmentation Approach for Detecting Motorcycling Near Misses
Authors: Bello Rotimi-Williams , Oluigbo Chinedu Uchechukwu , Moradeyo Oluwatomilola Motunrayo
Published: January 2025

This article presents near misses as corrective and preventive measures to safety events. The article focuses on the risk factors of commercial motorcycling near misses, which we address by proposing a near miss detection framework based on a hybrid of YOLOv4-DeepSort and VGG16-BiLSTM models. We employed YOLOv4-DeepSort model for the detection and tracking tasks, and the tracked images and identity information were stored. The sequence of image was fetched into the VGG16-BiLSTM model for extraction of image feature information and near misses recognition respectively. Video streams of near miss datasets containing motorcycling in different scenes were collected for the experiment. We evaluate the proposed methods by testing 444 sequential video frames of motorcycling near misses in urban environment. The detection models achieved 96% accuracy for motorcycle, 89% for car, and 81% for person with lower false-positive rates on the test datasets while the tracking models achieved 34.3 MOTA on the test set and MOTP of 0.77. The results of the study indicate practicality for automatic detection of motorcycling near misses in urban environment, and it could assist in providing resourceful technical reference for analyzing the risk factors of motorcycling near misses. The research contributions are: (1) A hybrid of YOLOv4 and DeepSort model to enhance object detection and tracking in a complex environment and (2) A hybrid of YOLOv4 and DeepSort model to optimize the extraction of image feature information and near misses recognition respectively for overall system performance.
Sentence-Level Granularity Oriented Sentiment Analysis of Social Media Using Long Short-Term Memory (LSTM) and IndoBERTweet Method
Authors: Azahra Nisa Maulia , Setiawan Erwin Budi
Published: January 2025

The dissemination of information through social media has been rampant, especially on the Twitter platform. This information eventually invites various opinions from users as their points of view on a topic being discussed. These opinions can be collected and processed using sentiment analysis to assess public tendencies to obtain a fundamental source of decision-making. However, the procedure is not optimal enough due to its inability to recognize the word meaning of the opinion sentences. By using sentence-level granularity-oriented sentiment analysis, the system can explore the "sense of the word" in each sentence by giving it a granularity weight as the system's consideration in recognizing word meaning. To construct the procedure, this research utilizes LSTM as the classification model combined with TF-IDF and IndoBERTweet as feature extraction. Not only that, but this research also conducts the Word2Vec feature expansion method which was built using Twitter and IndoNews corpus to produce word similarity corpus and find effective word semantics. To be fully compliant with the granularity requirements, manual labeling, and system labeling were performed by considering weight granularity as a model performance comparison. This research succeeded in getting 88.97% accuracy for manual labeling data and 97.80% for system labeling data after combining these methods. The experimental results show that the granularity-oriented sentiment analysis model can outperform the conventional sentiment analysis system which can be seen based on the high performance of the resulting system.