bluuebunny/crossref_metadata_2025 huggingface dataset:
Les adolescents en protection de la jeunesse et la pandémie de COVID-19
Authors: Drouin Laurence , Harvey Gabrielle , St-Hilaire Arianne , Jean Sarah-Maude , Gagné Marie-Hélène
Published: January 2025

La pandémie de COVID-19 pourrait avoir exacerbé les difficultés des adolescents en protection de la jeunesse (PJ), une population déjà vulnérable. Les mesures sanitaires limitant la propagation du virus pourraient avoir affecté les services en PJ et modifié le nombre de signalements. Cette étude vise à identifier si des changements ont été observés durant la pandémie de COVID-19 dans le nombre d'adolescents de 13 à 17 ans en PJ et dans la répartition des motifs de signalement chez ces jeunes pour la région de la Capitale-Nationale. Elle compare deux cohortes de signalements : l’année prépandémique et la première année de la pandémie. Des variations ont été calculées et des analyses de khi-carré ont été réalisées dans le logiciel SPSS à partir de données extraites de la Banque de données informationnelles (BDI) afin d’obtenir des coefficients de contingence. Elles montrent une augmentation des signalements chez les adolescents et des variations dans les motifs de signalement pendant la pandémie. Alors que les signalements pour les troubles de comportement sérieux et les abus physiques ont diminué, ceux concernant les autres motifs ont augmenté. Ces résultats mettent en lumière la persistance des problèmes de maltraitance, soulignant le besoin de sensibiliser davantage les familles pour réduire leur occurrence spécifiquement pour les motifs en hausse.
Polarization and Shared Attention among Influential Amplifiers of 2018 U.S. Primary Candidates
Authors: Montez Daniel , Shmargad Yotam
Published: January 2025

The spread of information on Twitter/X hinges on a relatively small set of influential accounts that shape the narrative during political events. In this paper, we identify and describe the ecosystem of influencers in the ego networks of candidates from the 2018 U.S. primaries across a large set of governor, house, and senate races. The ecosystem includes both amplifying influencers, who share tweets by candidates, as well as accounts regularly promoted by these amplifiers, whom we label ecosystem influencers. We classify these accounts with respect to their partisanship and political role. We find asymmetry across the two major parties, with Democrats receiving more formal party support than Republicans, whose amplifiers skew more towards ‘activist’ accounts that feature relatively high levels of bot or bot-like behavior. We also find that nearly all amplifying influencers share tweets from candidates representing a single political party. However, there is substantial overlap in the ecosystem influencers that these amplifiers promote, which are often journalists and news organizations, with over 30% of them retweeted by amplifiers on both sides of the political spectrum. We thus find that shared attention exists across these partisan amplifiers – far more than their promotion of candidate messages suggests – and that media accounts serve a central bridging function.
ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 U.S. Midterms
Authors: Schafer Joseph , Duskin Kayla , Prochaska Stephen , Wack Morgan , Beers Anna , Bozarth Lia , Agajanian Taylor , Caulfield Michael , Spiro Emma , Starbird Kate
Published: January 2025

Understanding the spread of online rumors is a pressing societal challenge and an active area of research across domains. In the context of the 2022 U.S. midterm elections, one influential social media platform for sharing information — including rumors that may be false, misleading, or unsubstantiated — was Twitter (now renamed X). To increase understanding of the dynamics of online rumors about elections, we present and analyze a dataset of 1.81 million Twitter posts corresponding to 135 distinct rumors which spread online during the midterm election season (September 5 to December 1, 2022). We describe how this data was collected, compiled, and supplemented, and provide a series of exploratory analyses along with comparisons to a previously published dataset on 2020 election rumors. We also conduct a mixed-methods analysis of five distinct rumors about the election in Arizona, a particularly prominent focus of 2022 election rumoring. Finally, we provide a set of potential future directions for how this dataset could be used to facilitate future research into online rumors, misinformation, and disinformation.
KONSEP PENDIDIKAN PEREMPUAN DARI PERSPEKTIF KH. HASYIM ASY'ARI
Authors: Zidal Haq M. Ilham , Hosna Rofiatul
Published: January 2025

KH. Hasyim Asy’ari tampil sebagai tokoh yang memperjuangkan emansipasi perempuan. KH. Hasyim Asy’ari telah banyak memberikan kontribusi nyata dalam dunia pendidikan. Namun kajian pemikirannya dalam konsep pendidikan perempuan belum ada penelitian yang mendalam. Ia melakukan berbagai usaha dan cara untuk mewujudkan pendidikan bagi perempuan. Di antaranya menawarkan gagasan tentang konsep pendidikan perempuan. Penelitian ini ingin mengetahui tentang bagaimana konsep pendidikan perempuan KH. Hasyim Asy’ari dan relevansinya dengan sistem pendidikan nasional masa kini. Pendekatan penelitian ini bersifat kualitatif dengan Jenis penelitian library research (kajian pustaka). Analisis datanya menggunakan metode analisis isi (content analysis) dan deskriptif analisis, dan menyimpulkan sesuai dengan fokus penelitian. KH. Hasyim Asy’ari menawarkan konsep Pendidikan yang menempatkan perempuan sejajar dengan laki-laki dalam hak menerima pendidikan, tanpa diskriminasi, serta berorientasi pada pembentukan karakter dan ketakwaan kepada Tuhan agar mampu memahami kewajiban, tanggung jawab dan haknya sebagai perempuan.
INTEGRASI NILAI-NILAI PENDIDIKAN JASMANI DALAM AL-QUR’AN DAN HADITS PADA MATA PELAJARAN PENDIDIKAN AGAMA ISLAM
Authors: Putri Lilida , Fadriati
Published: January 2025

Islam is a religion that is very detailed in dealing with the problems of its creatures, Islam regulates all aspects of human life. All aspects of human life have been regulated in Islamic teachings. The Islamic religion not only regulates religious activities but also about physical and spiritual health and social relations in society. Islam also teaches about physical education and various kinds of sports recommended by the Prophet Muhammad. Allah SWT explains everything in the Qur'an and also the hadith of the Prophet Muhammad Saw. This research is to increase knowledge and insight into how the Al-Qur'an and hadith explain a person's physical education in learning Islamic Religious Education. In this research, the library research method is used, also known as literature review, by collecting various sources from previous research, in the form of theories or expert opinions from various books or articles. Physical education in Islamic Religious Education is seen as the development of a student's body and soul to be stronger in carrying out worship to Allah and always trying to get closer to Allah SWT, as well as being able to socialize well with fellow humans in a social environment. In the perspective of Islamic education, physical health can be used to support body strength as a means of carrying out worship to Allah SWT.
PEMBELAJARAN SEJARAH KEBUDAYAAN ISLAM
Authors: Darmalinda  , Fadriati Fadriati
Published: January 2025

Rumpun keilmuan Pendidikan Agama Islam menjadi landasan utama dalam penerapan SKI di Madrasah Ibtidaiyah (MI), Madrasah Tsanawiyah (MTs), dan Madrasah Aliyah (MA). Penelitian ini bertujuan untuk mengetahui konsepsi sejarah kebudayaan Islam (SKI), tujuan pembelajaran SKI, isi materi SKI (MI, MTs, dan MA), strategi pembelajaran SKI serta evaluasi pembelajaran SKI. Penelitian ini merupakan penelitian deskriptif kualitatif dengan analisis dokumen. Hasil penelitian ini menunjukkan bahwa kebutuhan untuk pengembangan pembelajaran SKI secara holistik, melibatkan lebih dari sekadar pengetahuan dan hafalan. Cakupan materi SKI perlu diperluas untuk memastikan pemahaman yang mendalam. Praktik pembelajaran SKI di MI, MTs, dan MA cenderung kurang menarik minat siswa, menunjukkan perlunya pendekatan yang lebih inovatif dan menarik. Evaluasi pembelajaran juga menjadi fokus, dengan temuan bahwa belum maksimal diterapkan untuk meningkatkan kualitas pembelajaran SKI. Oleh karena itu, rekomendasi dapat diajukan untuk memperbaiki strategi pembelajaran, mengembangkan materi yang menarik, dan meningkatkan metode evaluasi guna memastikan pembelajaran SKI mencapai tujuan yang diinginkan.
INTERNALISASI NILAI AKHLAKUL KARIMAH PADA SISWA KELAS XI MADRASAH ALIYAH SWASTA TARBIAH ISLAMIYAH HAMPARAN PERAK KABUPATEN DELI SERDANG
Authors: Malik Muklis , Lubis Sakban , Imran Zulfi , Devina Amanda
Published: January 2025

Tujuan dari riset ini adalah untuk mendeskripsikan dan menganalisis secara mendalam tentang upaya internalisasi Akhlakul Karimah pada siswa Madrasah Aliyah Swasta Kelas XI Tarbiah Islamiyah di Kecamatan Hamparan Perak, Kabupaten Deli Serdang. Proses internalisasi akhlak di Madrasah Aliyah Tarbiyah Islamiyah Hamparan Perak akan diperinci, termasuk metode-metode yang digunakan serta faktor-faktor yang mendukung dan menghambat implementasinya. Riset ini bersifat kualitatif dengan latar belakang Madrasah Aliyah Tarbiyah Islamiyah. Data akan dikumpulkan melalui wawancara, observasi, dan dokumentasi. Analisis data akan dilakukan secara deskriptif analitik untuk mendapatkan kesimpulan dari makna data yang terkumpul. Hasil riset menunjukkan bahwa pelaksanaan internalisasi akhlak di Madrasah Aliyah Tarbiyah Islamiyah Hamparan Perak telah berlangsung dengan baik sesuai harapan, tercermin dari perilaku sehari-hari siswa, termasuk sopan santun dalam berkomunikasi dengan guru, teman, dan masyarakat sekitar. Faktor pendukungnya mencakup kerjasama antara pihak madrasah dan asrama, serta kerjasama dengan guru mata pelajaran dan wali kelas. Sementara faktor penghambatnya meliputi kurangnya dukungan dari keluarga dan lingkungan serta pergaulan sesama siswa.
ANALISIS EFEKTIVITAS PEMBELAJARAN AKTIF PAI BK TERHADAP PENGUASAAN MATERI ASMAUL HUSNA KELAS 2 SD
Authors: Ananda Anisa , Al Raihan Muhammad Alif , Putri Silma Amelia , Syahbudi Muhammad Reza , Abdul Fadhil
Published: January 2025

Penelitian ini bertujuan untuk menganalisis efektivitas strategi pembelajaran aktif dalam buku ajar Pendidikan Agama Islam (PAI) terhadap penguasaan Asmaul Husna pada siswa kelas 2 SD. Kajian kepustakaan digunakan sebagai metode, dengan mengumpulkan dan menganalisis literatur relevan seperti jurnal, buku ajar, dan artikel akademik. Hasil penelitian menunjukkan bahwa penggunaan metode pembelajaran aktif, seperti bernyanyi, diskusi kelompok, dan media visual, secara signifikan meningkatkan pemahaman siswa terhadap konsep abstrak Asmaul Husna. Metode ini juga meningkatkan keterlibatan siswa dalam proses pembelajaran, membangun keterampilan sosial, serta memfasilitasi internalisasi nilai-nilai Asmaul Husna dalam kehidupan sehari-hari. Kendala utama adalah keterbatasan media pembelajaran dan kompetensi guru, namun dapat diatasi melalui pelatihan dan pengadaan sumber daya. Penelitian ini menyimpulkan bahwa strategi pembelajaran aktif efektif dalam meningkatkan pemahaman siswa terhadap Asmaul Husna, serta relevan untuk diterapkan pada pembelajaran agama Islam di tingkat dasar.
EFEKTIVITAS PLATFORM ALEF TERHADAP MOTIVASI BELAJAR SISWA KELAS VII SMP TRISULA PERWARI 2 JAKARTA
Authors: Solihin Ahmad , Laila Salsabila Nida
Published: January 2025

Perkembangan teknologi terhadap pendidikan sangat sangat membantu para guru dalam mengajarnya. Para siswa merasa lebih mudah dan cepat memperolehan literasi dengan banyaknya aplikasi seperti: power point, youtube, atau sistem berbasis e-learning, dan platfrom sebagai alat bantu pembelajarannya.
Aplikasi platform alef dalam pembelajaran Pendidikan Agama Islam (PAI) dapat menggairahkan proses pembelajaran walaupun beberapa kendala dihadapi para guru. Mereka banyak memiliki keterbatasan dalam menyusun, merancang, mendesain bahan ajar dan kurang menguasai aplikasi ini sehingga dapat menurunkan nilai KKM, selain kurangnya interaksi sosial guru dan siswa.
Penelitian ini dilakukan untuk mengetahui efektifitas penggunaan media pembelajaran interaktif berbasis platform alef terhadap motivasi belajar siswa di SMP Trisula Perwari 2 Jakarta dengan jenis penelitian kuantitatif dan pendekatan field research.
Hasil penelitian menyatakan terdapat pengaruh positif platfrom alef (X) terhadap motivasi belajar siswa (Y) sebagaimana pengujian adjusted r square (R2) model regresi linier sederhana, yaitu sebesar sebesar 0,164 (16,4%).
TINJAUAN DOGMATIS KEBERADAAN PATUNG YESUS MEMBERKATI DI BUNTU BURAKE KABUPATEN TANA TORAJA BERDASARKAN KELUARAN 20:4-5
Authors: Bandhaso Palalong Silas
Published: January 2025

Abstrak: Patung Yesus Memberkati di Buntu Burake, Toraja, telah menjadi ikon religius dan wisata yang menarik perhatian banyak orang. Patung ini, yang merupakan salah satu patung Yesus terbesar di dunia, dikagumi bagi banyak orang Kristen bahkan non Kristen di Indonesia. Namun, keberadaan patung ini memunculkan berbagai pertanyaan teologis dan dogmatis, terutama ketika dikaji dari perspektif Alkitab, khususnya Keluaran 20:4-5. Ayat ini memuat perintah kedua dari Sepuluh Perintah Allah yang menekankan larangan terhadap pembuatan dan penyembahan patung atau gambar yang menyerupai apa pun di langit, bumi, atau dalam air.  Metode penelitian yang digunakan dalam penelitian ini adalah penelitian kepustakaan dengan mereview beberapa jurnal yang telah dipublikasi terkait dengan patung Yesus Memberkati di Buntu Burake dan mencari sumber-sumber buku terkait.  Selain itu juga menggunakan metode hermeneutik dengan melakukan eksegesis terhadap Keluaran 20:4-5.  Penelitian ini memperlihatkan bahwa Tuhan melarang secara mutlak memvisualisasikan diri-Nya dengan patung apa pun, Tuhan melarang secara mutlak menyembah patung visualisasi diri-Nya, dan Tuhan konsisten dengan sifat-Nya yang kudus.
Artificial Intelligence-Based Skin Lesion Analysis and Skin Cancer Detection
Authors: Qureshi Momina , Muhammad Athar Javed Sethi  , Sayed Shahid Hussain
Published: January 2025

Advanced diagnostic methods are necessary for the early and precise diagnosis of skin cancer, a deadly disease that poses a danger. The accuracy of manual skin lesion assessment and visual inspection is limited, which is why sophisticated diagnostic tools are required. In response, this study presents a groundbreaking approach that makes use of an ensemble of twelve pre-trained deep learning models, including InceptionV3, VGG16, VGG19, Xception, DensNet121, DensNet201, ResNet152V2, MobileNet, MobileNetV2, ConvNeXtLarge, NASNetMobile, and InceptionResNetV2. This study demonstrates a distinct training strategy by employing a two-phase approach: first, training only the newly added dense layers while maintaining the layers of the base model frozen, and then, fine-tuning the entire model. This sophisticated process improves CNN convolutions' stability during feature extraction, which in turn improves the model's overall performance in terms of prediction accuracy. The HAM10000 dataset was used as the main basis for training, evaluating, and comparing all of the models used in this comprehensive research, assuring a consistent and exacting method to progress the field of skin cancer classification. The model with the highest classification accuracy, ResNet152V2, with an F1 score of 98%, wins. By recognizing the intricacy of skin lesions, the study makes the significance of its findings clear and provides hope for the development of more advanced diagnostic instruments. This article not only offers a critical assessment of current methods but also tackles problems and indicates future directions for future research in the field of medical image categorization. This research has implications that extend beyond skin cancer diagnosis; it impacts several therapeutic applications and provides a solid foundation for further advancements in the field.
PERAN GURU PAI DALAM PENGUATAN MODERASI BERAGAMA STUDI DI SMA N 1 ANAK TUHA
Authors: MU’AMALAH HUSNUL , MAULIDIN SYARIF , APRIAWAN ANGGI
Published: January 2025

This study aims to analyze the role of Islamic Religious Education (PAI) teachers in strengthening religious moderation at SMA N 1 Anak Tuha. The focus of this research is how PAI teachers integrate values of religious moderation into teaching, extracurricular activities, and school programs that support the creation of a tolerant and inclusive environment. The research employs a qualitative approach, utilizing data collection techniques such as observation, interviews, and documentation. The results show that PAI teachers at SMA N 1 Anak Tuha play a significant role in instilling values of religious moderation, both inside the classroom through lesson materials and outside the classroom through the "Sekolah Damai" program and extracurricular activities like ROHIS. The "Sekolah Damai" program, supported by all school elements and external organizations, also contributes significantly to creating an atmosphere conducive to religious moderation. However, several obstacles were identified, such as the influence of a fanatical community environment and the limited time allocated for PAI lessons. Despite these challenges, the consistent efforts of PAI teachers and support from various parties can overcome these barriers. The conclusion of this study is that strengthening religious moderation at SMA N 1 Anak Tuha can be successfully achieved if supported by the collective commitment of the school, teachers, and the surrounding community.
ABSTRAKPenelitian ini bertujuan untuk menganalisis peran guru Pendidikan Agama Islam (PAI) dalam penguatan moderasi beragama di SMA N 1 Anak Tuha. Fokus penelitian ini adalah bagaimana guru PAI mengintegrasikan nilai-nilai moderasi beragama dalam pembelajaran, kegiatan ekstrakurikuler, serta program-program sekolah yang mendukung terciptanya lingkungan yang toleran dan inklusif. Metode yang digunakan dalam penelitian ini adalah pendekatan kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa guru PAI di SMA N 1 Anak Tuha memiliki peran penting dalam menanamkan nilai-nilai moderasi beragama, baik di dalam kelas melalui materi pembelajaran, maupun di luar kelas melalui program Sekolah Damai dan kegiatan ekstrakurikuler seperti ROHIS. Program Sekolah Damai yang didukung oleh seluruh elemen sekolah dan lembaga eksternal juga memberikan kontribusi besar dalam menciptakan atmosfer yang mendukung moderasi beragama. Namun, beberapa faktor penghambat ditemukan, seperti pengaruh lingkungan masyarakat yang fanatik dan terbatasnya waktu pembelajaran PAI. Meskipun demikian, upaya konsisten dari guru PAI dan dukungan berbagai pihak dapat mengatasi hambatan tersebut. Simpulan dari penelitian ini adalah bahwa penguatan moderasi beragama di SMA N 1 Anak Tuha dapat berjalan dengan baik apabila didukung oleh komitmen bersama dari sekolah, guru, dan masyarakat sekitar.
ANÁLISE EPIDEMIOLÓGICA DE CRIANÇAS DE 0 A 9 ANOS COM TUBERCULOSE NO BRASIL ASSOCIADO AO ACOMETIMENTO POR HIV NOS ANOS DE 2013 A 2023
Authors: Chaves Leonardo da Paz Vieira , Faria Gabriel Trentim Gomes , Lima Urielly Tayná da Silva
Published: January 2025

A tuberculose (TB) em crianças coinfectadas com HIV representa um grave problema de saúde pública no Brasil, com especial impacto nas regiões Norte e Nordeste, que enfrentam deficiências em infraestrutura de saúde. Este estudo analisou a incidência de TB em crianças de 0 a 9 anos coinfectadas com HIV entre 2013 e 2023. A pesquisa revela que, durante esse período, a incidência de TB aumentou 25%, de 1.200 para 1.500 casos anuais. A coinfecção por HIV agrava a evolução clínica da TB, resultando em uma taxa de mortalidade 50% maior e 40% mais resistência ao tratamento convencional. Entre 2013 e 2023, a incidência de TB em crianças coinfectadas diminuiu 33,7%, de 89 para 59 casos, embora com variações ao longo dos anos. A análise revelou que as regiões com maior cobertura de programas de saúde pública, como o Sudeste, tiveram melhores resultados no controle da doença, enquanto o Norte e Nordeste apresentaram maiores desafios. As iniciativas de controle, como campanhas de vacinação e educação em saúde, contribuíram para a redução dos casos, mas a disparidade no acesso ao diagnóstico e tratamento continua a ser um obstáculo significativo. Conclui-se que é essencial fortalecer as políticas de saúde, ampliar o acesso e melhorar a qualidade do tratamento nas regiões mais afetadas.
Analisis Pelaksanaan Penertiban Pemakaian Tenaga Listrik (P2TL) Sebagai Upaya Penekanan Susut Non Teknis Di PT PLN (Persero) ULP Koba
Authors: Amirah Khairunnisah  , Amani Darma Tarigan  , Rahmaniar Rahmaniar
Published: January 2025

Electricity theft is an activity that is detrimental to the state where PLN as the party that distributes electricity has unknowingly lost its main commodity without any reciprocity in the form of payment. To overcome electricity theft, Execution of Electricity Use (P2TL) is carried out. Implementation of Electric Power Use (P2TL) is an activity to control electricity users who do not comply with installation standards. P2TL activities include planning, inspection, technical and/or legal actions and settlements carried out by PLN on PLN installations and/or Electric Power User installations. P2TL activities carried out in the Koba area from October to December 2023 found 3 violations in the area. The kWh saved as a result of P2TL from October to December was 21,480 kWh. From the kWh savings obtained, the highest loss was in October of 0.47% and the loss obtained without P2TL kWh savings was 0.48%. So that the kWh savings obtained from P2TL can reduce Non-Technical Losses. The more P2TL violations are found, the higher the reduction in losses obtained by PT PLN (Persero) ULP Koba.
Rancang Bangun Alat Pembuatan VCO Otomatis Menggunakan Mikrokontroler Arduino Uno
Authors: Mochammad Syaiful Hadi  , Akhlis Munazilin  , Adi Susanto
Published: January 2025

This paper presents the design and implementation of an automatic Virgin Coconut Oil (VCO) making device using an Arduino Uno microcontroller. Virgin Coconut Oil has gained popularity due to its health benefits and versatile uses in various industries. The traditional process of making VCO involves manual effort and precise timing, which can be tedious and inconsistent. The proposed automated system aims to streamline the VCO production process by integrating sensors, actuators, and a microcontroller to achieve precise control and monitoring of the process variables. The Arduino Uno microcontroller serves as the central unit for data acquisition, processing, and control, facilitating automation through programmed logic. Key components of the automated VCO maker include temperature sensors for monitoring heating stages, a motor for stirring, and relays for controlling heating elements. The system utilizes feedback loops to maintain optimal conditions during each phase of VCO production, ensuring reproducibility and quality. The design also emphasizes user-friendly operation, with an interface that provides real-time feedback on process parameters and allows manual intervention if necessary. Safety features are incorporated to prevent overheating and ensure operational reliability. Overall, the developed automatic VCO maker offers a practical solution to enhance the efficiency and consistency of VCO production, catering to both small-scale producers and commercial enterprises in the food and cosmetic industries
Analisa Penjualan Sparepart Pada PT Astra International Bmw Semarang Dengan Menggunakan Algoritma Eclat
Authors: Mika Navieri Artasasta  , Sulastri Sulastri
Published: January 2025

PT Astra International BMW Semarang is a company operating in the automotive sector with 3 supporting pillars, namely Sales, Aftersales and Spare Parts for BMW car units. The availability of spare parts is one of the determining factors for consumer satisfaction with the company because if the spare parts stock is empty it will cause consumer disappointment with the company. By using spare parts sales transaction data for the period January 2019 – June 2023, totaling 52,162, it will be utilized using data mining association techniques with the a priori algorithm and the eclat algorithm. The problem in this research is how to find out consumer purchasing patterns so that there is no shortage or empty stock of spare parts in the warehouse. This research aims to determine the association of spare parts purchasing patterns in sales transactions so that partman get recommendations in making decisions about providing priority types of spare parts. This research methodology uses CRISP-DM (Cross-Industry Standard Process for Data Mining) and is implemented with the R programming language with R studio software. In 3 trials using the Apriori algorithm and 3 trials with the Eclat algorithm, The result with the highest confidence appears in a combination of 3 itemsets with minimum support 0.01 and confidence 0.9, namely if a customer buys B11.42.8.593.186 (Set oil-filter Mx) and B83.12.5.A1A.683 (Washer Cleaner) then they will also buy Z99000000333 ( BMW Engine Oil) with confidence 1.00 or 100%. From the results of this association's analysis, it can be used as advice for the management of PT Astra International BMW Semarang in managing spare parts stock.
Penerapan Algoritma Klasifikasi Naïve Bayes Untuk Analisis Sentimen Tentang Pemilu 2024
Authors: Yusuf Ramadhan Nasution  , Suhardi Suhardi  , Ilham Hafiz Satrio
Published: January 2025

The news about the proposal of the government of the Republic of Indonesia regarding the postponement of the 2024 elections is certainly an interesting discussion. In this research, sentiment analysis will be carried out on the issue of postponing the election. In this study, a dataset obtained using the crawling technique was obtained in the amount of 1280 tweet data about the postponement of the 2024 election. Data labeling in this study uses lexicon-based techniques with Indonesian dictionaries. By applying this technique, the details of the data in the positive class are 67.7%, namely 157 opinion data, and 32.3% negative, namely 75 opinion data. The sentiment classification system's training and test data yield a 9:1 ratio when the Naïve Bayes Classifier method is applied, and word weighting using TF-IDF yields an accuracy value of 91.67%, precision of 90.91%, recall of 100%, and f1-score of 95.24%.
Rancang Bangun Sistem Pemantauan Dan Kontrol Kualitas Udara Dalam Ruangan Berbasis Iot
Authors: Fredy Agung Dwi Cahyono  , Denny Irawan
Published: January 2025

Indoor air quality plays a vital role in public health, especially since people spend about 90% of their time indoors. Poor indoor air quality, often caused by chemical, physical, and biological pollutants, can severely impact health, comfort, and productivity. To tackle this issue, a robust air quality monitoring and control system was designed, featuring an ESP32 microcontroller paired with sensors such as the GP2Y1010AU0F dust sensor, MQ-7 carbon monoxide sensor, and MQ-2 smoke sensor, along with a fan to enhance air circulation. This system is capable of detecting air quality issues and taking corrective action. The ESP32 module, integrated with the Internet of Things (IoT) technology, enables real-time transmission of sensor data to a web server for continuous monitoring and prompt response. Researchers have made significant progress in creating an effective, system-based solution to improve and maintain indoor air quality
Analisa Pengaruh Desain Kumparan 6-Fasa Terhadap Efisiensi Motor Induksi 3-Fasa Menggunakan Metode Ganda Tak Simetris
Authors: Ririn Devilani  , Zuriman Anthony  , Erhaneli  Erhaneli
Published: January 2025

This research aims to analyze the impact of a new coil winding design in 3-phase induction motor on effiiciency, with the objective of creating a new 3-phase induction motor with improved performance. The research was conducted in the Electric Power System Laboratority, Department of Electrical Engineering, Padang Institute of Technology, and focuses solely on efficiency and its relationship to motor output power. The study involved redesigning the coils of a conventional 3-phase induction motor into a 6-phase coil design without altering the motor’s position, followed by testing both motors and comparing the efficiency of the conventional 3-phase induction motor with that of the redesigned 6-phase motor using the asymmetrical double methode. The result show that the efficiency of the 6-phase coil-designed motor increased compared to the conventional 3-phase induction motor.   importance of maintaining data security and implementing AI strategically to provide optimal benefits for consumers and business development.
Interactive coupling of a Greenland ice sheet model in NorESM2
Authors: Goelzer Heiko , Langebroek Petra M. , Born Andreas , Hofer Stefan , Haubner Konstanze , Petrini Michele , Leguy Gunter , Lipscomb William H. , Thayer-Calder Katherine
Published: January 2025

Abstract. On the backdrop of observed accelerating ice sheet mass loss over the last few decades, there is growing interest in the role of ice sheet changes in global climate projections. In this regard, we have coupled the Norwegian Earth System Model (NorESM) with the Community Ice Sheet Model (CISM) and have produced an initial set of climate projections including an interactive coupling with a dynamic Greenland ice sheet. Our focus in this manuscript is the description of the coupling, the model setup and the initialisation procedure. To illustrate the effect of the coupling, we have further performed one chain of experiments under historical forcing and subsequently under high future greenhouse gas forcing (SSP5-8.5) until 2100 and extended until 2300. We find a limited impact of the dynamical ice sheet changes on the global response of the coupled model under the given forcing and experimental setup when comparing to a standard CMIP6 simulation of NorESM with a fixed ice sheet.
Using Monte Carlo conformal prediction to evaluate the uncertainty of deep learning soil spectral models
Authors: Huang Yin-Chung , Padarian José , Minasny Budiman , McBratney Alex B.
Published: January 2025

Abstract. Uncertainty quantification is a crucial step for the practical application of soil spectral models, particularly in supporting real-world decision making and risk assessment. While machine learning has made remarkable strides in predicting various physiochemical properties of soils using spectroscopy, predictions devoid of quantified uncertainty offer limited utility in guiding critical decisions. However, uncertainty quantification remains underutilised in the reporting of soil spectral models, with existing methods facing significant limitations. These approaches are either computationally demanding, fail to achieve the desired coverage of observed data, or struggle to handle out-of-domain uncertainty effectively. This study introduces the innovative use of Monte Carlo conformal prediction (MC-CP) as a novel approach to quantify uncertainty in the prediction of clay content from mid-infrared spectroscopy. We compared MC-CP with two established methods: (1) Monte Carlo dropout and (2) conformal prediction. Monte Carlo dropout generates prediction intervals for each sample and is effective at addressing larger uncertainties associated with out-of-domain data. However, it falls short in achieving the desired coverage – its 90 % prediction intervals only covered the observed values in 74 % of cases, well below the expected 90 % coverage. Conformal prediction, on the other hand, guarantees ideal coverage of true values but generates unnecessarily wide prediction intervals, making it overly conservative for many practical applications. In contrast, MC-CP successfully combines the strengths of both methods. It achieved a prediction interval coverage probability of 91 %, closely matching the expected 90 % coverage, and far surpassing the performance of Monte Carlo dropout. Additionally, the mean prediction interval width for MC-CP was 9.05 %, narrower than conformal prediction’s 11.11 %, while still effectively addressing the higher uncertainty in out-of-domain samples. By generating accurate prediction intervals alongside point predictions, MC-CP demonstrated its ability to deliver practical and reliable uncertainty quantification. This breakthrough enhances the real-world applicability of soil spectral models and represents a significant advancement in the field of soil science. The success of MC-CP paves the way for its integration into large-scale machine-learning models, such as soil inference systems, further revolutionising decision-making and risk assessment in soil science.
The interprovincial green water flow in China and its teleconnected effects on the social economy
Authors: Sang Shan , Li Yan , Hou Chengcheng , Zi Shuangshuang , Lin Huiqing
Published: January 2025

Abstract. Green water (terrestrial evapotranspiration) flows from source regions, precipitates downwind via moisture recycling, recharges water resources, and sustains the social economy in sink regions. However, unlike blue water, there has been limited assessment of green water flows and their teleconnected effects on the social economy. This study used a climatology mean moisture trajectory dataset produced by the UTrack model for 2008–2017 to quantify interprovincial green water flows in China and their socioeconomic contributions. Results reveal an interconnected flow network where the green water of each province reciprocally exchanges with each other. Despite self-recycling (ranging from 0.6 % to 35 %), green water mainly forms precipitation in neighboring provinces, with average interprovincial flow directions from west to east and south to north. About 56 % of the total green water exported from the 31 mainland source provinces remains at home, contributing 43 % of the precipitation in China. The green water from the source provinces embodies substantial socioeconomic value for the downwind provinces, accounting for about 40 % of the water resources, 45 % of the gross domestic product (GDP), 46 % of the population, and 50 % of the food production of China. Green water from the western provinces is the largest contributor to water resources, while green water from the southwestern and central provinces embodies the highest GDP, population, and food production. Overall, the embodied socioeconomic values of green water flow increase from the source to sink provinces, suggesting that green water from less developed provinces effectively supports the higher socioeconomic status of developed provinces. This assessment emphasizes the substantial teleconnected socioeconomic values of green water flows and the need to incorporate them towards more comprehensive and effective water resource management.
New glacier thickness and bed topography maps for Svalbard
Authors: van Pelt Ward , Frank Thomas
Published: January 2025

Abstract. Knowledge of the thickness, volume, and subglacial topography of glaciers is crucial for a range of glaciological, hydrological, and societal issues, including studies on climate-warming-induced glacier retreat and associated sea level rise. This is not in the least true for Svalbard, one of the fastest-warming places in the world. Here, we present new maps of the ice thickness and subglacial topography for every glacier on Svalbard. Using remotely sensed observations of surface height, ice velocity, rate of surface elevation change, and glacier boundaries in combination with a modelled mass balance product, we apply an inverse method that leverages state-of-the-art ice flow models to obtain the shape of the glacier bed. Specifically, we model large glaciers with the Parallel Ice Sheet Model (PISM) at 500 m resolution, while we resolve smaller mountain glaciers at 100 m resolution using the physics-informed deep-learning-based Instructed Glacier Model (IGM). Actively surging glaciers are modelled using a perfect-plasticity model. We find a total glacier volume (excluding the island Kvitøya) of 6800 ± 238 km3, corresponding to 16.3 ± 0.6 mm sea level equivalent. Validation against thickness observations shows high statistical agreement, and the combination of the three methods is found to reduce uncertainties. We discuss the remaining sources of errors, differences from previous ice thickness maps of the region, and future applications of our results.
Simulating record-shattering cold winters of the beginning of the 21st century in France
Authors: Cadiou Camille , Yiou Pascal
Published: January 2025

Abstract. Extreme cold winter temperatures in Europe have huge societal impacts. Being able to simulate worst-case scenarios for such events for present and future climates is hence crucial for short- and long-term adaptation. In this paper, we are interested in persistent cold events, whose probability will decrease with climate change. Large ensembles of simulations allow us to better analyse the mechanisms and characteristics of such events but can require significant computational resources. Rather than simulating very large ensembles of normal climate trajectories, rare-event algorithms allow the sampling of the tail of distributions more efficiently. Such algorithms have been applied to simulate extreme heat waves. They have emphasized the role of atmospheric circulation in such extremes. The goal of this study is to evaluate the dynamics of extreme cold spells simulated by a rare-event algorithm. We focus on cold winter temperatures that have occurred in France from 1950 to 2021. We investigate winter mean temperatures (December, January and February) and identify a record-shattering event in 1963. We find that although the frequency of extreme cold spells decreases with time, their intensity is stationary. We apply a stochastic weather generator (SWG) approach with importance sampling to simulate the coldest winters that could occur in a factual and counterfactual climate. We thus simulate ensembles of the worst winter cold spells that are consistent with reanalysis data. We find that a few simulations reach colder temperatures than the historical record-shattering event of 1963. This shows that present-day conditions can trigger winters as cold as that record in spite of global warming. The atmospheric circulation that prevails during those events is analysed and compared to the observed circulation during the record-breaking events, showing no main change in the mechanisms leading to this type of extreme event.
Anksiyete Kişilik Bozukluğu Tedavisinde Yapay Zeka Kullanımı Üzerine Sistematik Derleme
Authors: Tac Meltem
Published: January 2025

This systematic review study examines the effects of artificial intelligence (AI) usage in anxiety personality disorders. The study adopted a systematic review methodology, without employing field studies or any scales. The Turkish literature was reviewed, including experimental research and articles published between 2021 and 2024. The study was conducted in two stages, between September 2024 and December 2024. Following the literature review, a total of five studies were thoroughly researched and analyzed. These studies evaluated the impact of AI technologies on the treatment of anxiety personality disorders in light of AI advancements. The findings revealed that AI technologies have significant potential in monitoring and managing anxiety levels associated with personality disorders. However, some studies observed that the rapidly advancing nature of AI could also increase technology-related anxiety levels in individuals. It was particularly emphasized that personalized AI applications should be used with greater caution in the treatment of personality disorders. In conclusion, AI-supported tools should be carefully designed and implemented to address anxiety personality disorders. Further experimental studies are needed to better understand the effects in this field. Additionally, it is crucial to develop AI-based applications within an ethical framework and tailored to individuals' needs to minimize potential negative outcomes.
Keywords: Anxiety, Artificial Intelligence
Late Diagnosis of Isolated Testicular Tuberculosis
Authors: Ali Hannaoui , Hamza Elftouhi , Adil Kbirou , Amine Moataz , Mohamed Dakir , Adil Debbagh , Rachid Aboutaieb
Published: January 2025

Urogenital tuberculosis is a rare condition, typically occurring following pulmonary involvement. Isolated testicular tuberculosis without urinary symptoms is even rarer and poses significant diagnostic challenges. We report a case of a 34-year-old patient diagnosed with testicular tuberculosis after undergoing an orchidectomy due to purulent testicular necrosis.Urogenital tuberculosis is a rare condition, typically occurring following pulmonary involvement. Isolated testicular tuberculosis without urinary symptoms is even rarer and poses significant diagnostic challenges. We report a case of a 34-year-old patient diagnosed with testicular tuberculosis after undergoing an orchidectomy due to purulent testicular necrosis.
4. NGHIÊN CỨU TỶ LỆ, THÀNH PHẦN LOÀI NẤM NÔNG GÂY BỆNH Ở BÀN CHÂN BẰNG KỸ THUẬT HÌNH THÁI VÀ SINH HỌC PHÂN TỬ Ở TIỂU THƯƠNG TRÊN ĐỊA BÀN TỈNH NGHỆ AN
Authors: Linh Dương Thị Khánh , Anh Lê Trần , Hải Tăng Xuân
Published: January 2025

Đề tài: Nghiên cứu tỷ lệ, thành phần loài nấm nông gây bệnh ở bàn chân bằng kỹ thuật hình thái và sinh học phân tử nhằm mục tiêu: Xác định tỷ lệ, thành phần loài nấm men, nấm sợi và vị trí phân loại nấm gây bệnh trong cây phả hệ.
Phương pháp: Bằng phương pháp nghiên cứu mô tả thực nghiệm tại la bô, với các kỹ thuật nuôi cấy nấm trong môi trường Saboraud Chromagar với độ pH < 5,5 và có kháng sinh. Xác định tỷ lệ, thành phần loài dựa vào khóa định loài, sinh học phân tử và giải trình tự gen.
Kết quả: Trong 126 mẫu nấm, tỷ lệ nấm men là 94 mẫu (74,6%) và nấm sợi chiếm 25,4%(32/126). Bằng phương pháp định danh bằng hình thái, PCR-RFLP và giải trình tự, nghiên cứu chúng tôi phát hiện 11 giống với 24 loài. Tác nhân nấm men gây bệnh nhiều nhất 74,7%(94/126), trong đó Candida albicans chiếm tỷ lệ cao nhất 61,7%(58/94). Tác nhân nấm sợi gây bệnh chiếm 25,4%(32/126), trong đó tỷ lệ cao nhất là Asfergilus flavus 46%(18/32). Một số loài gây bệnh ít gặp cũng được phát hiện là Talaromyces pinophilus, Curvularia lunata, Penicillium polonicum, Trigonopsis variabilis...
Kết luận: Đã xác định được 11 giống, 24 loài nấm nông gây bệnh ở bàn chân.
28. BƯỚC ĐẦU ĐÁNH GIÁ HIỆU QUẢ ÁP DỤNG MÔ HÌNH GIAO TIẾP CHUẨN AIDET TẠI BỆNH VIỆN ĐA KHOA HUYỆN QUAN SƠN, TỈNH THANH HÓA NĂM 2024
Authors: Thắng Lương Thị , Cường Lê Văn , Hưng Nguyễn Văn
Published: January 2025

Mục tiêu: Đánh giá bước đầu hiệu quả thay đổi kiến thức, thái độ sau khi áp dụng mô hình giao tiếp chuẩn AIDET tại bệnh viên đa khoa huyện Quan Sơn, tỉnh Thanh Hóa năm 2024.
Đối tượng và phương pháp nghiên cứu: Nghiên cứu can thiệp, so sánh đánh giá trước và sau can thiệp. Đối tượng là cán bộ nhân viên y tế Bệnh viện đa khoa huyện Quan Sơn, tỉnh Thanh Hóa (1/2024 – 11/2024).
Kết quả: Sau tập huấn cán bộ nhân viên y tế có kiến thức, thái độ và có ý định ứng dụng mô hình AIDET khá cao, cụ thể: Tỷ lệ kiến thức đạt về tiêu chí AIDET trước tập huấn là 47,7% tăng lên 84,6% sau tập huấn (p<0,05). Tỷ lệ có ý định sử dụng mô hình là 64,6%. Nếu Bệnh viện triển khai thực hiện mô hình AIDET, cán bộ NVYT cho thấy tỷ lệ sẵn sàng tham gia là 76,9%.
Kết luận: Bước đầu áp dụng mô hình giao tiếp AIDET tại Bệnh viên đa khoa huyện Quan Sơn, tỉnh Thanh Hóa đã có hiệu quả về thay đổi nâng cao kiến thức, thái độ cũng như ý định ứng dụng mô hình này của cán bộ nhân viên y tế.
31. CHI PHÍ TRỰC TIẾP Y TẾ TRONG ĐIỀU TRỊ SUY TIM TẠI MỘT SỐ BỆNH VIỆN MIỀN BẮC VIỆT NAM NĂM 2023: PHÂN TÍCH DỰA TRÊN QUAN ĐIỂM HỆ THỐNG Y TẾ
Authors: Ánh Toàn Thị Ngọc , Tới Phùng Lâm , Vân Trần Nguyễn Khánh , Hà Giáp Đức
Published: January 2025

Mục tiêu: Phân tích chi phí y tế trực tiếp trong điều trị suy tim tại một số bệnh viện miền Bắc Việt Nam.
Thiết kế nghiên cứu: Mô tả cắt ngang đa trung tâm dựa trên dữ liệu hồi cứu hồ sơ bệnh án điện tử và bảng kê chi phí áp dụng quan điểm hệ thống y tế.
Đối tượng nghiên cứu: Người bệnh suy tim điều trị tại 03 bệnh viện đa khoa tuyến tỉnh (Phú Thọ, Vĩnh Phúc và Lạng Sơn) từ 01/01/2023 đến 31/12/2023.
Kết quả: Chi phí trung bình cho 01 lần thăm khám ngoại trú là 564.613±346.640 VNĐ với chi phí thuốc và dịch truyền chiếm tỷ trọng cao nhất (60,0%) và chi phí trung bình 01 đợt điều trị nội trú kéo dài trung bình 6,3±5,2 ngày là 7.083.868±13.000.390 VNĐ với chi phí ngày giường chiếm tỷ trọng cao nhất (22,4%). Bảo hiểm y tế chi trả đến hơn 90%.
Kết luận: Kết quả về chi phí trung bình cho 01 lần thăm khám ngoại trú và 01 đợt điều trị ngoại trú thu được thấp hơn các nghiên cứu công bố trước đó, điều này có thể bị ảnh hưởng bởi địa điểm nghiên cứu. Các nghiên cứu tiếp theo nên xem xét áp dụng quan điểm nghiên cứu bao quát hơn.
40. KẾT QUẢ NUÔI DƯỠNG ĐƯỜNG TIÊU HÓA SỚM Ở TRẺ SINH NON TẠI BỆNH VIỆN TRUNG ƯƠNG THÁI NGUYÊN
Authors: Hằng Trần Thị , Học Nguyễn Đình , Trưởng Dương Quốc , Hòa Lưu Thị , Hoa Nông Thanh
Published: January 2025

Mục tiêu: Đánh giá tăng trưởng thể chất của trẻ sinh non được nuôi dưỡng bằng đường tiêu hóa sớm tại Trung tâm Nhi khoa - Bệnh viện Trung ương Thái Nguyên năm 2023-2024.
Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang được thực hiện trên 204 đối tượng trẻ đẻ non được nuôi dưỡng bằng đường tiêu hóa sớm.
Kết quả: Nghiên cứu này cho thấy tỷ lệ trẻ nam/nữ là 1,8/1. Tỷ lệ trẻ ≥2500g trở về cân nặng lúc sinh <10 ngày chiếm tỷ lệ cao nhất 81,8%. Không ghi nhận trường hợp nào trẻ ≥2500g lấy lại cân nặng lúc sinh nhóm 15 – 21 ngày. Có sự khác biệt về thời điểm lấy lại cân nặng khi sinh giữa 3 nhóm cân nặng, sự khác biệt này có ý nghĩa thống kê với p < 0,05. Tỷ lệ bắt kịp tăng trưởng khi ghép mẹ là 67,6% và trước khi ra viện là 70,9%.
Kết luận: Nuôi dưỡng đường tiêu hóa sớm ở trẻ đẻ non là một phương pháp an toàn, hiệu quả, ít biến chứng và giúp trẻ đẻ non sớm trở lại cân nặng lúc sinh.
46. KẾT QUẢ NỘI SOI NGƯỢC DÒNG TÁN SỎI NIỆU QUẢN 1/3 GIỮA VÀ 1/3 DƯỚI SỬ DỤNG NĂNG LƯỢNG LASER - HOLMIUM TẠI BỆNH VIỆN ĐẠI HỌC Y THÁI BÌNH
Authors: Phúc Trần Thái , Thắng Lại Ngọc
Published: January 2025

Mục tiêu: Đánh giá kết quả điều trị sỏi niệu quản 1/3 giữa và 1/3 dưới bằng tán sỏi ngược dòng sử dụng nặng lượng laser Holmium tại Bệnh viện Đại học Y Thái Bình.
Phương pháp: Nghiên cứu mô tả cắt ngang 73 người bệnh được thực hiện tán sỏi niệu quản 1/3 giữa và 1/3 dưới bằng phương pháp tán sỏi nội soi ngược dòng sử dụng năng lượng laser Holmium tại bệnh viện Đại học Y Thái Bình từ tháng 01 năm 2021 đến tháng 06 năm 2023. Ghi nhận các số liệu về đặc điểm cơ thể bệnh, thời gian tán sỏi niệu quản, các tai biến biến chứng và kết quả.
Kết quả: Tuổi trung bình 54,4±11,4 tuổi; nam chiếm 64,4% nữ chiếm 35,6%. Đau âm ỉ vùng thắt lưng và đau quặn thận là lý do chính khiến người bệnh vào viện (chiếm 57,6%). Đa số người bệnh có thời gian tán sỏi <60 phút. Tỷ lệ tai biến thấp: 13.6% có tổn thương niêm mạc niệu quản, 15% xuất hiện biến chứng sau tán sỏi. Tỷ lệ tán sỏi thành công là 95,8%.
Kết luận: Tán sỏi nội soi ngược dòng bằng laser là phương pháp can thiệp ít xâm hại, an toàn, hiệu quả trong điều trị sỏi niệu quản 1/3 giữa và dưới.