bluuebunny/crossref_metadata_2025_split huggingface dataset:
Afiksasi Pembentuk Verba Transitif Dalam Novel Fatamorgana Di Segitiga Emas Karya Suryatini N Ganie
Authors: Luci Komala Bintang  , Siti Ainim Liusti  
Published: August 2024

This study aims to describe the affixes that form transitive verbs in the novel Fatamorgana in the Golden Triangle by Suryatini N Ganie, which includes the types of affixes that form verbs, patterns of verb formation, and the meaning of the affixes that form transitive verbs in the novel Fatamorgana in the Golden Triangle by Suryatini N Ganie. This type of research is descriptive qualitative research. The research data is in the form of words that experience affixation in the novel Fatamorgana in the Golden Triangle by Suryatini N Ganie. Methods of data collection using note takers. The technique of analyzing the data is classifying the affixation data forming transitive verbs, identifying the data, and concluding the data. Data validation technique is trigulation technique. The results of the study concluded that in the process of affixation forming transitive verbs in the novel Fatamorgana in the Golden Triangle by Suryatini N Ganie, it consists of 105 data of me- prefixes, 6 data of me-,-i affix combinations and 54 data of me-,-an affix combinations. There is a change in word class from nouns to verbs, adverbs to verbs, adjectives to verbs, and pronouns to verbs. The patterns of verb formation are (me- + D (Adj/ V/ N/ Pron/ Adv), (me- + D (V) + -i) and (memper- + D (N/ Adj/ V) + -kan). The affixation process results in grammatical changes.
Transformasi Fungsi Silat Perisai di Desa Empat Balai Dusun Pulau Empat Kuok Bangkinang Barat
Authors: Tri Wulandari Fikhen , Alita Istiqomah Riski 
Published: August 2024

Penelitian ini bertujuan untuk membahas tentang keberadaan serta identitas kebudayaan yang ada di Desa Empat Balai Dusun Pulau Empat Kuok Bangkinang. Metode yang digunakan dalam penelitian ini menggunakan paradigma kualitatif, penelitian kualitatif adalah penelitian yang bermaksud untuk memahami fenomena dengan menggunakan cara deskripsi dalam bentuk kata-kata dan bahasa. Silat Perisai merupakan salah satu tradisi yang ada di Kampar, yang biasanya ditarikan untuk mencari sebuah kemufakatan dari perselisihan yang terjadi di antar suku, yang sekarang beralih fungsi menjadi seni pertunjukan atau hiburan. Keberadaan Silat Perisai di desa Empat Balai merupakan salah satu hasil seni budaya masyarakat yang merupakan realitas kehidupan yang telah dikembangkan oleh masyarakat itu sendiri, namun keberadaan Silat Perisai itu sendiri pada saat sekarang sudah mulai menghilang karena pengaruh dari budaya modern dan seperti tidak memiliki fungsi lagi bagi kehidupan masyarakat desa Empat Balai. Sesuai dengan yang diungkapkan oleh Soedarsono tentang teori fungsi maka isu-isu yang akan dibahas dalam artikel ini adalah fungsi Silat Perisai sebagai sarana upacara, sarana hiburan dan sebagai seni pertunjukan. Implementasi dari fungsi yang terdapat pada Silat Perisai diharapkan dapat dilestarikannya kesenian yang ada didaerah setempat dan dapat direalisasikan terhadap generasi penerus, tradisi harus selalu diperbarui agar tetap diminati oleh masyarakat pendukungnya. This research aims to discuss the existence and identity of culture in the four hamlet villages of Empat Kuok Bangkinang Island. The method used in this research uses a qualitative paradigm. Qualitative research is research that aims to understand phenomena by using descriptions in the form of words and language. Silat Perisai is a tradition in Kampar, which is usually danced to find a consensus on disputes that occur between tribes, which has now changed its function to performing arts or entertainment. The existence of silat shield in Empat Balai village is one of the results of community arts and culture which is a reality of life that has been developed by the community itself, however the existence of silat shield itself is now starting to disappear due to the influence of modern culture and seems to no longer have a function for life of the people of Empat Balai village. In accordance with what Soedarsono expressed about function theory, the issues that will be discussed in this article are the function of silat shield as a means of ceremony, a means of entertainment and as a performing art. It is hoped that the implementation of the functions contained in Silat Shield can preserve the arts in the local area and can be realized by future generations. The tradition must always be updated so that it remains in demand by the supporting community.
Hubungan Kebiasaan Konsumsi Susu dan Intensitas Latihan terhadap Status Gizi Atlet Karate Kelas Pemula-Junior
Authors: Aristina Siti Raniva , Hardiansyah Angga , Hayati Nur 
Published: August 2024

Atlet remaja termasuk kelompok usia yang rentan mengalami permasalahan terkait dengan status gizi. Faktor yang mempengaruhi status gizi meliputi tingkat konsumsi makanan baik secara kualitas maupun kuantitas yang dikonsumsi seseorang. Asupan yang diperlukan untuk memberikan kondisi kesehatan gizi yang optimal salah satunya adalah dengan konsumsi susu. Tujuan penelitian ini untuk mengetahui hubungan kebiasaan konsumsi susu dan intensitas latihan terhadap status gizi pada atlet karate kelas pemula-junior. Desain yang dipakai dalam penelitian ini adalah observational dengan menggunakan pendekatan cross-sectional. Sampel pada penelitian ini yaitu sebanyak 30 orang yang diambil dengan menggunakan metode purposive total sampling. Variabel yang diteliti adalah karakteristik, kebiasaan konsumsi susu, intensitas latihan dan status gizi. Data kebiasaan konsumsi susu diambil dari formulir Food Frequency Questionaire (FFQ) berdasarkan wawancara dengan responden.Hasil dari penelitian ini menunjukan sebanyak 53,3% atlet karate kelas pemula – junior di BKC Kota Semarang memiliki kategori kebiasaan konsumsi susu baik, sedang 18,8%, kurang 13,3% dan sangat kurang 10%. Sebanyak 63,3% atlet memiliki kategori intensitas latihan rendah, sedang 33,3% dan submaksimal 3,3%. Sebanyak 80% atlet memiliki kategori status gizi baik, gizi lebih 13,3% dan obesitas 6,6%. Hasil uji bivariat menunjukan tidak ada hubungan yang signifikan antara intensitas latihan dengan status gizi (p-value = 0,874). Tidak terdapat hubungan yang signifikan antara kebiasaan konsumsi susu dengan status gizi (p-value =0,756). Terdapat banyak faktor yang mempengaruhi status gizi seperti konsumsi makanan dan aktivitas fisik dalam hal ini konsumsi susu dan intensitas latihan merupakan sebagian dari asupan makanan dan status gizi sehingga tidak dapat menjadi patokan terkait dengan status gizi. Kata kunci: status gizi, intensitas latihan, konsumsi susu
Hubungan Kualitas Layanan dengan Minat Kunjung Pemustaka Di Perpustakaan Kota Bandung
Authors: Muhammad Fadhiil Insan Kamil  , Prijana  , Kurniasih Nuning 
Published: August 2024

Perpustakaan merupakan salah satu sumber informasi serta ilmu pengetahuan yang memiliki peranan penting dalam mendukung pendidikan, penelitian, dan pengembangan masyarakat. Salah satu indikator keberhasilan pada perpustakaan adalah tingginya tingkat minat kunjung pemustaka. Tingkat minat kunjung pemustaka dapat dipengaruhi oleh banyak faktor, salah faktor penyebab minat kunjung pemustaka meningkat merupakan kualitas layanan perpustakaan. Penelitian ini bertujuan untuk mengetahui seberapa besar tingkat hubungan kualitas layanan dengan minat kunjung pemustaka pada perpustakaan Kota Bandung. Teknik pengambilan sampel pada penelitian ini menggunakan sampling quota, dengan pendekatan kuantitatif pada 43.338 pengunjung perpustakaan pada bulan Januari – November 2023 dan sampel berjumlah 300 responden. Analisis yang dilakukan dengan menggunakan Software Statistical Package for The Social atau SPSS versi 27 didapat dari hasil penelitian ini bahwa kualitas layanan memiliki pengaruh dengan minat kunjung pemustaka dengan perolehan angka sebesar 0,629 atau dalam tingkat hubungan “ kuat ”. variabel yang paling tinggi diperoleh oleh bukti fisik (tangible) sebesar 0,506 kemudian diikuti oleh kehandalan (reliability) sebesar 0,450, jaminan (assurance) sebesar 0,425, daya tanggap (responsiveness) sebesar 0,406, dan terakhir empati (emphaty) sebesar 0,376.
Inklusi Sosial Pada Bank Sampah Perpustakaan Rosella Genematrik Dalam Menciptakan Ekonomi Baru Pada Masyarakat Kelurahan Siantan Tengah Kecamatan Pontianak Utara
Authors: Kurniawan Kurniawan 
Published: August 2024

Penelitian ini membahas strategi bank sampah Perpustakaan Rosella Genematrik dalam menciptakan ekonomi baru di Kelurahan Siantan Tengah, Pontianak Utara. Bank Sampah ini merupakan program inklusi sosial yang membantu mengolah sampah secara berkelanjutan dengan partisipasi masyarakat. Hasil penelitian menunjukkan bahwa Bank Sampah ini membuka peluang usaha baru, meningkatkan kesadaran akan sampah, dan meningkatkan pengetahuan dan keterampilan masyarakat dalam pengelolaan sampah. Bank Sampah ini merupakan contoh nyata bagaimana program inklusi sosial dapat menciptakan ekonomi baru dan meningkatkan kesejahteraan masyarakat. Pengelolaan sampah di Indonesia berdasarkan nilai ekonomi, keadilan, kesadaran, kebersamaan, keselamatan, dan keamanan. Bank sampah dan perpustakaan memiliki peran penting dalam edukasi masyarakat tentang pengelolaan sampah dan peningkatan kualitas lingkungan. Bank sampah menawarkan program 3R (Reuse, Reduce, Recycle) dan dapat menciptakan ekonomi baru. Perpustakaan sebagai pusat sumber informasi memiliki berbagai fungsi dalam pendidikan, penelitian, dan rekreasi. Kolaborasi antara bank sampah dan perpustakaan dapat menciptakan ekosistem yang mendukung pertumbuhan kewirausahaan di bidang pengelolaan limbah dan daur ulang. Metode penelitian yang digunakan adalah kualitatif dengan teknik studi dokumenter dan wawancara. Peneliti melakukan penelitian di bank sampah Perpustakaan Rosella Genematrik di Kelurahan Siantan Tengah, Kecamatan Pontianak Utara, Kalimantan Barat. Penelitian ini membahas strategi bank sampah sebagai program inklusi sosial untuk menciptakan ekonomi baru di masyarakat. Beberapa strategi yang diusulkan termasuk promosi di media sosial, pengembangan sumber daya masyarakat, menyediakan fasilitas dan layanan, kampanye untuk meningkatkan kesadaran lingkungan, program insentif, sumber informasi, pelatihan kewirausahaan, literasi lingkungan, pengembangan komunitas pecinta lingkungan. Kesimpulannya, bank sampah dapat menggunakan strategi ini untuk mendukung ekonomi baru yang lebih berkelanjutan dan lingkungan yang lebih bersih.
FEM model optimization study of mechanical properties and material selection in stamping process
Authors: Zhang Huiju , Xie Xiaojuan 
Published: August 2024

Abstract
This paper establishes a finite element model of stamping and forming and proposes solution algorithms for static and dynamic forces. The finite element simulation of the hot stamping process is carried out to analyze the thermophysical parameters of BR1500HS ultra-high-strength steel sheet material and H13 steel mold material. Set the temperatures of austenitic material in the transfer process and molding process, obtain the rheological stress data of BR1500HS ultra-high-strength steel plate during plastic deformation at high temperature, and determine the basic mechanical properties of the material at high temperature. A geometric finite element model of thermal-force-phase coupling of the hot stamping and forming process is established to simulate the temperature field change of the steel plate during the hot stamping and forming process by combining the process conditions and process parameters. At the same time, the ultra-high-strength boron steel 22MnB5 is selected to simulate the hot forming and tempering process of U-shaped parts made of high-strength steel sheet material, and the feasibility of the finite element model is verified. Different hot stamping process parameters are set to analyze the forming quality of both BR1500HS ultra-high strength steel and ultra-high-strength boron steel 22MnB5. When the stamping speed is increased from 50mm/s to 100mm/s, the maximum equivalent force of BR1500HS ultra-high strength steel decreases, and thus, when the stamping speed is 100mm/s and the holding time is 5s, the part forming performance is better, which meets the requirements of the gradient performance hot stamping process.
Research on Customer Behavior Prediction Model for Cultural Industry Combined with Deep Learning
Authors: Zhao Xia 
Published: August 2024

Abstract
In recent years, as deep learning has demonstrated powerful characterization capabilities in the fields of speech, image, and text, researchers have begun to apply it to the field of prediction, i.e., predicting customer behaviors through current interaction records and features. This paper proposes a deep wandering-based customer behavior prediction model that combines deep learning techniques to forecast customer behavioral trends in the cultural industry. The model randomly wanders from the social network graph structure of the customer’s purchase of goods to generate a new behavioral sequence. We regard the user’s behavioral sequence as a word, and we pre-train all the behavioral sequence documents using the Word2vec algorithm model. The experimental comparison revealed that the model, which incorporates the depth-wandering technique, outperforms other models on the test set in terms of predictiveness. The website uses the deep wandering user behavior prediction model to forecast sales and adapts its sales strategy based on the customer’s behavior. 31% of customers were content with the books they bought from the website, while 52% were extremely content. By comparing the book sales before and after applying the model, it was found that the book sales increased significantly after adjusting the sales strategy, indicating that the customer behavior prediction model constructed in this paper can be used practically.
Optimize the energy storage system with an artificial intelligence-based control strategy
Authors: Zhang Xiaoyu , Wang Ying , Wang Junjie 
Published: August 2024

Abstract
Currently, energy storage systems adopt control strategies based on the crossover approach despite their limited generalization performance. To improve the control effect of the control strategy, the limitation of the SOC of the energy storage element is added. This adds smoothness to the system’s output power, enabling the energy storage element to distribute the power reasonably. Meanwhile, we propose and introduce a DPI control strategy based on PSO optimization into the control strategy of the second-order low-pass filtering method, thereby further enhancing and optimizing the original control strategy. Taking the investment cost of the energy storage system and the stable operation of the system as the objective functions, the constraint function is determined according to the parameters, the PSO algorithm is used to construct a two-layer optimization model of the energy storage system, and the FCEM is introduced to determine the objective weights. Based on the constructed model, an arithmetic example analysis of the energy storage system is carried out using artificial intelligence. Under the steady-state analysis of Buck mode, the low voltage side voltage adjustment time based on the PID control strategy is about 0.108s, and the low voltage side voltage adjustment time based on PSOPID is 0.032s, which is reduced by 0.070s compared with the PID control strategy. Also, when optimizing a system that generates electricity from renewable sources on its own, the two goals of minimizing the investment in the energy storage system and making sure it runs smoothly are met when the system’s fixed power is equal to 6.58 MW and its capacity is less than 267 MWh.
Distribution network adaptive protection system based on artificial intelligence
Authors: Wang Ying , Zhang Xiaoyu 
Published: August 2024

Abstract
With the continuous development of society, the requirements of enterprises and the public for the reliability of the power system are also improving, and the fault identification and protection action of the distribution network is conducive to the comprehensive analysis and overhaul of the line, which is of great significance. In this paper, a short-circuit fault identification method for distribution networks based on artificial intelligence technology is proposed to categorize and predict power system faults using an association rule algorithm. Then, a distribution network adaptive protection strategy based on the equivalent impedance of the distributed energy system is proposed, which real-time adjusts the setting value and criterion of the protection through the distribution network containing distributed energy devices connected to the grid and adjusts the working status in normal operation, realizing that the current protection of the distribution network adapts itself to the change of the working conditions of the distribution network system of IIDG. Simulation results show that when two-phase grounding and three-phase short-circuit faults occur in the distribution network under the protection of the adaptive system. The protection circuits start instantaneously in 0.005s, which realizes the functions of the fast startup, self-sustained operation, and controllable shutdown when faults occur in the distribution network. Meanwhile, the feasibility of the scheme is verified by utilizing the system to output short-circuit faults in the case of IIDG grid-connected or off-grid when the respective integrating values are greater than the positive sequence short-circuit current values.
Research on intelligent legal decision support system based on big data analysis
Authors: Wang Zhan 
Published: August 2024

Abstract
This paper constructs an intelligent decision support system using text combination feature extraction, case similarity, XBoost sentencing prediction model, and other related technologies. The performance of the smart decision support system is tested for grabbing responses and monitoring response reliability. The XGBoost algorithm is used to construct the sentencing prediction model to achieve the intelligence of sentencing prediction. The effectiveness of the sentencing prediction model is examined by comparing the XGBoost model with different algorithms (Random Forest, CBDT, CNN). The practical application of intelligent decision support systems was summarized, highlighting the positive and negative effects. The results show that the overall responsiveness performance of the intelligent decision support system’s magisterial document capture and retrieval is reliable, and the number of captured and retrieved magisterial documents rises as the capture time increases. In XGBoost’s sentencing prediction, nine overlapping parts of the ten keywords were extracted for sentence and fine. In contrast, the keyword similarities are all higher than 0.5, and the difference between the predicted and real sentence values and fine is small. The intelligent decision support system has resulted in a gradual decrease in the number of court cases and an improvement in efficiency. The re-sentencing and retrial initiation rate decreased by over 20% from 2019 to 2023.
Design and optimization of the Teaching evaluation system based on artificial intelligence
Authors: Zhang Ge , Liu Yang 
Published: August 2024

Abstract
In today’s highly developed information society, the construction work of educational informatization has become the focus of the future development of major universities. This paper combines artificial neural networks and UML software modeling technologies to design a teaching evaluation system using artificial neural network technology. The system requirements are analyzed from three aspects: system feasibility, functional requirements, and neural network evaluation function. The proposed system performance requirements are based on these three aspects. The neural network approximation problem can be solved using the gradient descent method based on the BP neural network model. After a series of operations, such as data preprocessing, the Design of the teaching evaluation system is completed, realizing the joint role of teaching and neural network evaluation module, and at the same time, proposing a system optimization decision for the teaching quality aspect. The teaching evaluation system designed in this study passed the test as the average response time of the whole system was 94.366 seconds when the number of users was 100, and there was no phenomenon such as transaction unresponsiveness. After the use of the teaching system, the feedback from the students’ use shows that the number of computer science students who mastered more than 80% of the system concepts is 42, and the rest of the knowledge is concentrated in the number of people who mastered 40% to 80%.
Research on optimization of ecosystem service function in mudslide disaster area by landscape ecological engineering technology
Authors: Li Juanwen 
Published: August 2024

Abstract
At present, the prevention and control of mudslide disasters are mainly based on geotechnical engineering measures, supplemented by landscape and ecological engineering measures, ignoring the important role of ecological prevention and control engineering in mudslide management. In this paper, the Bailong River Basin is taken as the main research object at the macro scale, supplemented by the municipal districts along the route as the typical mudslide disaster research area at the meso and micro scales. The InVEST model was utilized to evaluate the ecological service functions of each land and pinpoint the sensitive areas that are influencing the evolution of ecological service functions. The quantitative regulation model for landscape ecological integrated planning in the mudslide disaster area was proposed from the perspective of ecological disaster prevention and mitigation through landscape ecological engineering technology. Combined with the successful case of landscape ecological regulation in Region X, it was found that the AWMSI index of the region increased from 56.78 to 79.03 during the regulation period, and the diversity of patches within the landscape was enhanced, which was favorable to species exchange and biodiversity conservation. The mean value of the Habitat Quality Index (HQI) increased from 0.6147 to 0.6579, and the overall level of habitat quality was improved. The annual growth rate of MPI was 0.0002 with a slow growth rate, but the growth rate of MPI increased significantly with the further increase of restoration years. The study's findings can be utilized as a scientific basis for landscape ecological engineering and can also serve as a reference for disaster prevention and ecological restoration in mudflow basins with high activity.
Research on Key Issues and Optimization Strategies for Emergency Response to Public Health Emergencies
Authors: Niu Weijing 
Published: August 2024

Abstract
The handling of every major public health event is a test of risk early warning ability and national governance capacity and will form experience and lessons in social governance. In this paper, we use the improved Apriori algorithm to mine the classification of public health emergencies, construct public health emergency response indicators, and carry out feature screening and indicator system construction. On this basis, the selected areas are analyzed using the Em prediction model based on Markov chains and Bayesian networks. In this paper, A city is selected as the research object, and the Em prediction model is first tested for its performance. By comparing it with the RBF model and the ARIMA model, the prediction model has the best accuracy, while the RBF model has the lowest accuracy. Then, the Em model was used to cluster the derived social risks in City A, and the clustering centers of four risk indices were derived, which were 0.202, 0.358, 0.492, and 0.644, respectively. Secondly, the public health of City A was graded, and the risk grades were classified into four grades: mild, moderate, severe, and extra severe. Finally, according to the classification of the level of public health event characterization, the analysis can be seen that environmental factors and plains have a greater impact on the occurrence of public health events.