bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Russian scientific and technical journals in the field of control theory and systems
Authors: Taranovskiy D. O. , Stepanov O. A.
Published: October 2024

The article presents the analysis of Russian journals whose topics are related to the areas of activity of the Scientific Council on Control Theory and Processes at the Department of Energy, Mechanical Engineering, Mechanics and Control Processes of the Russian Academy of Sciences. Results of a survey of the leading Russian scientists in this field of science, including members of the council, helped to form a preliminary list of journals. The characteristics of these journals and their existing ratings are presented.

It is noted that the well-known scientometric indicators do not allow one to evaluate the journals’ development pathways directly. A proposed indicator characterizes the average rate of change in a journal’s impact factor over a given time interval. The values of development indicators have been calculated and analyzed according to the Russian Index of Science Citation (RISC) and Scopus databases for the abovementioned journals included in these databases. The development pathways of some individual journals are considered.

The article gives conclusions and recommendations that may be useful to the editorial staff – with a view to promoting their publications and to authors – in choosing a journal for publication.
Kegiatan Kerajinan Atap Rumbia dan Keterbatasan Sumberdaya Lokal Di Kecamatan Sei Bingai Kabupaten Langkat
Authors: Sidauruk Tumiar , Ginting Hennita Br
Published: October 2024

Penelitian ini bertujuan untuk mengetahui  karakteristik kegiatan kerajianan atap rumbia yang dilihat dari aspek : modal, cara pembuatan, pemasaran, transportasi, dan juga penyerapan sumber daya lokal dilihat dari aspek bahan baku dan tenaga kerjaserta kendala-kendala yang menghambat pengembangan usaha kerajinan atap rumbia yang  dilakukan di Kecamatan Sei Bingai Kabupaten Langkat.Populasi dalam penelitian ini adalah seluruh pengrajin atap rumbia dengan jumlah 118 pengrajin dan sampel diambil 15% yaitu sebanyak 18 pengrajin yang diambil secara sampling random atau sampel acak. Sedangkan untuk teknik pengumpulan data dilakukan dengan cara menyebarkan angket secara langsung kepada pengrajin, wawancara dan dokumentasi. Teknik analisa data yang digunakan adalah analisa data deskriptif.Hasil yang diperoleh dari penelitian ini menunjukkan bahawa usaha yang digunakan dalam kegiatan kerajinan atap rumbia dimulai dengan modal yang tidak terlalu mahal dan jumlah tenaga kerja yang dominan adalah satu orang saja.Pemasaran dilakukan dengan tiga cara yaitu melalui pesanan, pengumpulan dan eceran. Kegiatan kerajinan atap rumbia mampu menyerap sumber daya alam lokal yaitu bahan baku atap rumbia yang mencukupi dan penyerapan sumber daya manusia lokal sekitar 0.1227% dari total masyarakat usia angkatan kerja.Kata Kunci : Kerajinan Atap Rumbia, Keterbatasan Sumberdaya Lokal
Pembuatan Pupuk Organik kascing dari Berbagai Jenis Limbah Sebagai Alternatif Meningkatkan Life Skill Mahasiswa Jurusan Pendidikan Geografi Universitas Negeri Medan
Authors: Elfayetti Elfayetti , Rohani Rohani
Published: October 2024

Tujuan penelitian ini adalah untuk mengetahui pertumbuhan berat cacing tanah pada pupuk kascing berdasarkan jenis limbah yang berbeda dan kemampuan cacing memperbaiki beberapa sifat kimia  tanah ultisol.Pada penelitian ini digunakan cacing tanah spesies Lumbricus rubeltus,  sedangkan media hidup cacing tanah digunakan sekam kayu, kotoran sapi dan kotoran ayam. Untuk perlakuan jenis makanan cacing tanah digunakan kol dan ampas tahu. Penelitian ini dilaksanakan dalam dua tahap. Tahap I adalah inkubasi tanah, tahap II pembudidayaan cacing dengan memelihara cacing tanah selama 3 minggu, yang diberi makanan berbeda sekali dalam tiga hari. Selanjutnya dilakukan analisis unsur hara tanah di laboratoriumHasil penelitian menunjukkan bahwa terdapat pertumbuhan cacing tanah yang dapat dilihat melalui pengamatan bobot cacing tanah serta perubahan sifat kimia tanah pada setiap aspek kimia tanah yang dinilai setelah dilakukan inkubasi pada tanah ultisol.Kata kunci : Pupuk Organik Kascing
Analisis Faktor-Faktor Industri Kecil Mebel Di Kecamatan Sei Rampah Kabupaten Serdang Bedagai
Authors: Simanjuntak Yohana , Lumbantoruan Walbiden
Published: October 2024

Penelitian ini bertujuan untuk mengetahui : (1) keadaan faktor-faktor industri ditinjau dari modal, bahan baku, tenaga kerja dan pemasaran. (2) pendapatan pengusaha industri kecil mebel di Kecamatan Sei Rampah. Populasi dalam penelitian ini adalah seluruh pengusaha yang bekerja dalam usaha industri mebel di Kecamatan Sei Rampah dengan jumlah 33 pengusaha. Mengingat populasi yang jumlahnya terbatas maka populasi dijadikan sekaligus sebagai sampel. Teknik pengumpulan data yang digunakan yakni komunikasi langsung, kemudian data yang diperoleh dianalisis dengan teknik analisis deskriptif. Hasil penelitian menunjukkan bahwa : (1) modal operasionalrata-rata pengusaha mebel di Kecamatan Sei Rampah adalah  Rp.14.166.666, dimana 66,67% bersumber dari modal pribadi dan yang 33,33% merupakan modal pribadi ditambah modal pinjaman. Bahan baku yang digunakan pengusahaadalah kayu durianyang diperoleh dari luar Kecamatan Sei Rampah. Jumlah bahan baku yang digunakan paling banyak 67.848 m3 dan paling sedikit 1.027 m3 dengan rata-rata 19.846 m3. Tenaga kerjayang dipekerjakan berasal dari daerah sekitar industri dengan jumlah 5 - 19 orang. Dilihat dari pemasaran, pada umumnya (81,82%) pengusaha melakukan pemasaran secara tidak langsung (melalui agen) dan daerah pemasarannya mayoritas ke luar daerah sehingga tergolong dalam pemasaran regional. (2)Pendapatanrata-rata pengusaha adalah Rp.11.214.010, dimana nilai ini sudah berada diatas UMK Kabupaten Serdang Bedagai tahun 2011 Bila dilhat dari pendapatan perkapita, maka 96,96% pengusaha berpenghasilan berada diatas UMK atau hanya 3,04% yang berada dibawah UMK.Kata Kunci : Industri Kecil Mebel, Faktor-faktor industri
Analisis Spasial yang Mempengaruhi Perkembangan Kecamatan Ujung Padang Kabupaten Simalungun Tahun 2005-2010
Authors: Lubis Darwin Parlaungan , Sitorus Nurhidayah
Published: October 2024

Penelitian ini bertujuan untuk mengetahui (1) Faktor fisik geografi yang mempengaruhi perkembangan Kecamatan Ujung Padang Kabupaten Simalungun (2) Faktor nonfisisk yang mempengaruhi perkembangan Kecamatan Ujung Padang Kabupaten Simalungun.Penelitian ini dilaksanakan di Kecamatan Ujung Padang pada tanggal 20 Juni 2012 sampai 20 Juli 2012. Populasi dalam penelitian ini adalah seluruh desa yang ada di Kecamatan Ujung Padang yang terdiri dari 16 desa dan 1 kelurahan. Popoulasi ini sekaligus menjadi sampel (total sampling). Teknik pengumpulan data yang dilakukan dengan observasi dan studi dokumenter. Teknik analisis data yang digunakan dalam penelitian ini adalah teknik analisis deskriptif kualitatif.Hasil penelitian menunjukan bahwa (1) letak Kecamatan Ujung Padang yang strategis menjadikan Kecamatan ini sebagai daerah transit dan produksi kelapa sawit. Jarak yang terjangkau sekitar 25 km ke Kabupaten Batubara, 45 km ke Kabupaten Asahan, dan 25 Km ke Kecamatan Bosar Maligas memberikan kemudahan aksesibilitas bagi penduduk untuk melakukan interaksi. Iklim di kecamatan ini termasuk jenis iklim tropis. Luas penggunaan lahan pertanian sebesar 85%. Topografi kecamatan ini berada pada ketinggian 25 m dpl dengan kondisi datar sampai agak curam 0-40%. Sumberdaya alam diketahui luas panen sekitar 3,485 Ha dengan produksi 19,27 ton untuk padi sawah, dan 14.129,47 Ha dengan jumlah produksi 42.917,53 ton untuk kelapa sawit. (2) tidak terjadi pertumbuhan penduduk selama 5 tahun karena pertumbuhan nya hanya -1,46%. Jenis permukaan jalan berbatu 76%, beraspal 19%, pengerasan 5%, kondisi jalan baik 73%. Sarana pendidikan dan kesehatan yang sudah memadai membuat kecamatan ini mudah untuk berkembang.Kata kunci:    Analisis Spasial, Perkebangan Wilayah
Keadaan Sosial Ekonomi Masyarakat Nelayan Di Desa Beringin Kecamatan Beringin Kabupaten Deli Serdang
Authors: Fitria Fitria , Pinem Mbina
Published: October 2024

Penelitian ini bertujuan untuk mengetahui keadaan sosial ekonomi dan pendidikan anak nelayan di Desa Beringin Kecamatan Beringin Kabupaten Deli Serdang. Populasi dalam penelitian ini adalah seluruh masyarakat nelayan yang bermukim di Desa Beringin dengan jumlah 315 KK. Sampel ditentukan 30% sehingga jumlahnya 95 KK. Teknik pengumpulan data yang digunakan ialah komunikasi tidak langsung. Data yang diperoleh dianalisis dengan teknik analisis deskriptif. Hasil penelitian menunjukkan bahwa pendidikan nelayan masih rendah ( 42,11%  ), pendidikan sedang (SMP dan SMA) 57,89%. Pendapatan nelayan juga masih rendah, 97,90% berpendapatan antara Rp 1.000.000 - < Rp 2.000.000 dalam satu tahun. Pendidikan anak nelayan juga rendah 41,05% tidak tamat/ tamat SD, 38,95% SMP, dan 20% SMA.Kata Kunci : nelayan, kemiskinan, dan pendidikan anak
Kebutuhan Ruang Terbuka Hijau di Perkotaan
Authors: Sidauruk Tumiar
Published: October 2024

Tulisan ini bertujuan untuk menganalisis kebutuhan ruang terbuka hijau di perkotaan berdasarkan rasio jumlah penduduk terhadap kebutuhan ruang terbuka hijau pada kawasan permukiman di perkotaan. Kebutuhan ruang terbuka hijau dengan jumlah penduduk 250 jiwa membutuhkan ruang terbuka hijau dengan tipe Taman Tetangga seluas 250 m2. Kebutuhan ruang terbuka hijau dengan jumlah penduduk 2500 jiwa membutuhkan ruang terbuka hijau dengan tipe Taman Rukun Warga seluas 1250 m2. Kebutuhan ruang terbuka hijau dengan jumlah penduduk 30000 jiwa membutuhkan ruang terbuka hijau dengan tipe Taman Keluraha seluas 9000 m2. Kebutuhan ruang terbuka hijau dengan jumlah penduduk 120000 jiwa membutuhkan ruang terbuka hijau dengan tipe Taman Kecamatan seluas 24000 m2.Kata kunci :  ruang terbuka hijau, kebutuhan, kota
Keadaan Penduduk Migran di Kecamatan Silimakuta Kabupaten Simalungun
Authors: Girsang Lidia , Pinem Mbina
Published: October 2024

Penelitian ini bertujuan mengetahui (1) Implementasi Faktor pendorong yang menyebabkan migran melakukan migrasi di Kecamatan Silimakuta (2) Implementasi Faktor penarik yang menarik migran melakukan migrasi ke Kecamatan Silimakuta.Penelitian ini dilaksanakan di Kecamatan Silimakuta. Dalam penelitian ini yang menjadi populasi sekaligus sampel adalah para migran yang telah berkeluarga dan sudah dua tahun serta maksimal lima tahun tinggal menetap di Kecamatan Silimakuta. Teknik pengumpulan data yang digunakan adalah teknik wawancara. Teknik analisis data yang digunakan adalah teknik analisis deskriptif kualitatif.Hasil penelitian menunjukkan bahwa (1) Faktor pendorong migran dari daerah asal menuju Kecamatan Silimakuta mencakup faktor ekonomi sebesar 66,66%, faktor alam sebesar 20,98%, faktor politik sebesar 7,40%, dan faktor agama 4,93% (2) Faktor penarik migran di Kecamatan Silimakuta adalah adanya lapangan kerja di daearah tujuan sebesar 55,5%, faktor keluarga sebesar 39,50%, dan faktor geografi sebesar 4,9%.Kata Kunci : Migran, Faktor Pendorong Dan Penarik
Gambaran Pelayanan dan Perilaku Kesehatan di Indonesia
Authors: Julismin Julismin , Hidayat Nasrullah
Published: October 2024

Kesehatan didefinisikan sebagai "keadaan lengkap fisik, mental, dan kesejahteraan sosial dan bukan hanya ketiadaan penyakit atau kelemahan. Hanya segelintir publikasi telah difokuskan secara khusus pada definisi kesehatan dan evolusi dalam 6 dekade pertama. Beberapa dari mereka menyoroti kurangnya nilai operasional dan masalah diciptakan dengan menggunakan kata "lengkap." WHO dalam Piagam Ottawa untuk Promosi Kesehatan, mengatakan bahwa kesehatan adalah "sumber daya bagi kehidupan sehari-hari. Secara keseluruhan kesehatan dicapai melalui kombinasi dari fisik, mental, dan kesejahteraan sosial, yang, bersama-sama sering disebut sebagai "Segitiga Kesehatan". Perilaku kesehatan secara garis besar dikelompokkan menjadi 2 yakni Perilaku sehat dan perilaku orang sakit. Perilaku orang yang sehat agar tetap sehat dan meningkat. Oleh karena itu perilaku ini disebut perilaku sehat (helathy behaviour) yang mencakup perilaku-perilaku (overt dan covert behaviour) dan mencegah atau menghindari dari penyakit dan penyebab penyakit. Perilaku orang yang sakit atau telah terkena masalah kesehatan merupakan perilaku untuk memperoleh penyembuhan atau pemecahan masalah kesehatannya. Oleh karena itu perilaku ini juga disebut perilaku pencarian pelayanan pelayanan kesehatan (health seeking behaviour).Kata Kunci : Pelayana kesehatann, perilaku kesehatan
ANALISIS BAHAYA LONGSOR DI KECAMATAN BAYANG UTARA KABUPATEN PESISIR SELATAN SUMATERA BARAT
Authors: Wirda Mona Adria
Published: October 2024

This research was conducted because of insuitaibility of land management with geographicaland klimatological region that cause the higher potention of landslide in Kecamatan BayangUtara, Kabupaten Pesisir Selatan Sumatera Barat. The purpose of this research is to explainareas level of landslide and to describe a map of guidance of landuse depending of the level oflandslide. This research is a descriptive research that was conducted in two stages by usingPaimin et al method and by Geographic Information System (GIS) Arc Gis 9.3. The 10samples of research was determined by purposive sampling based on differentiation of landunit in Bayang Utara. The data of this research was land units, topographic, geology, soil,landuse, coordinate, and maps.The results of this research are : (1) there were 2 levels ofdanger of landslide which were medium level in V1 I Tomp Glei Saw , V3 III Qv Kam Hut,and V5 V tomp kam hut; and high level in V5 V Tomp Kam Sem, V5 V Qv Kam Hut Sek,V5 V Qv Kam Teg, and V5 V Pb Kam Hut, V5 V Qou Kam Hut, V4 IV Tqr Kam Hut andV5 V Qv Kam Hut; (2) there were 2 directions of landuse which were zone with mediumlevel of landslide for buffer zone; and zone which were hig level of landslide for conservationarea.Key word : Landslide, Level of Danger of Landslide
STUDI PERUBAHAN TUTUPAN LAHAN UNTUK PERMUKIMAN SEBELUM DAN SESUDAH GEMPA PADANG 2009 DI KECAMATAN KOTO TANGAH KOTA PADANG PROVINSI SUMATERA BARAT
Authors: Delita Fitra
Published: October 2024

Penelitian ini berawal dari fenomena migrasi penduduk dari daerah sekitar pesisir pantaimenuju wilayah pinggiran di Kecamatan Koto Tangah terutama setelah Gempa Padang2009 sehingga terjadi perubahan tutupan lahan. Penelitian ini bertujuan untukmengidentifikasi aspek demografi dan perubahan tutupan lahan antara tahun 2007 dan 2012terutama perubahan lahan untuk permukiman serta merumuskan kebijakan pengembanganpermukiman di Kecamatan Koto Tangah. Penelitian ini tergolong penelitian deskriptifdengan menggunakan data yang bersumber dari interpretasi Citra Landsat ETM+7 tahun2007 dan tahun 2012 dengan bantuan software ArcGIS 10.1 Untuk merumuskan kebijakanpengembangan permukiman digunakan metode AHP (Analitycal Hierarchy Process). Hasilpenelitian menujukkan bahwa terjadi perubahan tutupan lahan yang signifikan sebelumgempa dan sesudah gempa Padang 2009 di Kecamatan Koto Tangah. Konversi lahan untukpermukiman banyak terjadi dikelurahan yang menjadi daerah penyangga dan lumbung padi.Sementara itu kelurahan yang berada disekitar pesisir mengalami penurunan jumlahpenduduk karena adanya isu tsunami. Kebijakan pengembangan permukiman di KecamatanKoto Tangah diprioritaskan dengan menekan laju pertumbuhan penduduk dan permukimandi kawasan penyangga.Kata kunci: Perubahan tutupan lahan, Gempa Padang 2009, Permukiman
Religious Education for Indigenous Communities and Kepercayaan Adherents in Indonesia
Authors: Nenohai Jear
Published: October 2024

Since its establishment in 2016, the Indonesian government has conducted Pendidikan Kepercayaan (Belief Education) as religious education for indigenous communities and kepercayaan (belief) adherents in Indonesia. Various studies affirm that kepercayaan Education is the Indonesian government's way of eliminating discrimination against indigenous communities and kepercayaan adherents in the educational sphere. Other research on kepercayaan Education targets the challenges of implementation in the school context. This work attempts to examine the interconnectedness of kepercayaan education and the education of indigenous religions and kepercayaan adherents within the community context. The underlying question is does belief education represent the education of indigenous religions within communities? How does the education of indigenous religions in the community context contribute to and be included in the development of kepercayaan education? As a theoretical framework, I employ the concept of indigenization that has developed in the discourse of indigenous education in Canada. The method used in this research is a literature study. The results of this study indicate that belief education does not represent the education of indigenous religions and kepercayaan adherents within the community realm. Kepercayaan education is a service designed unilaterally by the state without recognizing and respecting the diversity and educational needs of indigenous communities in Indonesia. As an alternative, I propose a reconciliation and collaboration-based indigenization approach as a new framework for reconstructing kepercayaan education. The path of reconciliation and collaboration provides a space for children of indigenous communities to achieve the national educational aspiration of learning and practicing the teachings of their 'religion' in accordance with the educational model of their respective communities.
Social Mobility of The Bugis Female Hajj Pilgrims
Authors: Muhammadiyah Hilmi , Haji Ahmad Siti Sara Binti
Published: October 2024

This research delves into the social mobility of Bugis female Hajj pilgrims, examining not only the ways in which the experience of performing the Hajj transforms Bugis women socially but also how this mobility becomes integral to their cultural lives. Utilizing qualitative methods which include field studies and interviews with Bugis women who have completed the Hajj, this research positions them as agents, actors, and subjects. Its objective is to reveal the various forms of social mobility that have reshaped the status of Bugis women who have performed the Hajj. Specifically, it investigates the role of the Hajj as a social identity within Bugis society, the social and cultural transformations experienced by Bugis female Hajj pilgrims, and the effects of their social mobility on changes in their societal status and roles. Field findings show that the social mobility of Bugis female Hajj pilgrims is deeply intertwined with the community’s respect for the difficult journey of performing the Hajj, from departure to return. This journey redefines women’s positions within religious rituals, fosters cultural cohesion through the symbolic attributes worn during the Hajj, and generates both direct and indirect impacts on society through the pilgrims’ contributions.
Emotional Maturity, Religious Tolerance and Religiosity Within Millennial Generation
Authors: Sukmawati Fitri , Baroroh Ema Zati , Juwita Nindya , Amalia Kiki , Sawani Yussri
Published: October 2024

Indonesia’s diversity may be challenging as it can be a double-edged knife in the context of social interaction. Not only supporting positive development direction, the diversity also carries negative influence that may cause inharmony to Indonesian society. In the context of the millennial generation as the future leader, the diversity is also very important for further discussion in response to the efforts of building a harmonious society. Projecting the case study of millennial generation in Pontianak City of West Borneo, this work aims to explore the level of emotional maturity, religiosity and religious tolerance, as well as to verify the relationship between emotional maturity, religiosity and religious tolerance. It is based on a quantitative approach with a type of causality research project. There were 182 samples in this study. The research results show that the Pontianak City millennial generation is in a high category in terms of emotional maturity, religiosity and religious tolerance. Further, the results have proven that emotional maturity and religiosity have a relationship with religious tolerance, which indicates that each dimension of emotional maturity and religiosity has a relationship with religious tolerance. The findings also show that an additional factor that shapes emotional maturity, religiosity and religious tolerance is the educational level of the millennial generation. This indicates that the higher the level of education of the millennial generation, the higher their emotional maturity, religiosity and religious tolerance.
Factors Impacting the Use of Donation-Based Crowdfunding Platforms in Saudi Arabia: The Case of Ehsan Platform
Authors: Alshathry Sahar , Albalawi II Dr.Wafi
Published: October 2024

This research investigates the factors influencing people's intentions to use donation-based crowdfunding platforms in Saudi Arabia, focusing on the Ehsan platform supervised by the Saudi Data and Artificial Intelligence Authority (SDAIA). Ehsan aims to ensure proper monetary distribution to genuinely needy individuals, thereby reducing financial fraud and corruption. For the platform's success, it is essential that citizens effectively utilize it. Employing the Unified Theory of Acceptance and Use of Technology, the study analyzes the determinants that influence intentions to use Ehsan and actual use behaviors. An empirical study was conducted with 224 Saudi citizens from various age groups, and the research model was validated using the Partial Least Squares (PLS) approach. Findings reveal that performance expectancy and facilitating conditions significantly impact intentions to use Ehsan, while effort expectancy and social influence do not. The results indicate a positive association between participants' intentions to use Ehsan and their actual usage. This study enhances the understanding of factors affecting donation-based crowdfunding platforms in Saudi Arabia and offers practical insights for platform developers and decision-makers to consider in their design and modifications.
Research on Optimization Algorithms for Educational Development of Foreign Language Teachers in Colleges and Universities under the Perspective of Digital Intelligence Empowerment
Authors: Wu Bin
Published: October 2024

The concept of digitalization and intelligence is constantly emerging with the rapid development of information technology, and the in-depth integration of digital intelligence empowerment and teacher education development has garnered significant attention. In this paper, we first examine the stage of teacher development under digital empowerment, tracing the path of teacher education development. We then construct the digital and intelligent TPACK model, as well as the model of teacher education development ability. Subsequently, we adopt a BP neural network to evaluate teacher education development and optimize it using a genetic algorithm. After testing the model, we develop a teacher education development evaluation system based on the GA-BP algorithm, which we then apply and analyze. This paper’s optimized model reduced absolute and relative errors by 418.281 and 3.53%, respectively, compared to the traditional model, and improved the overall goodness of fit by 0.0144. Following the implementation of the system in this paper, the teacher assessment analysis revealed an average teaching ability score of 89.75 for teachers majoring in Japanese foreign language, and 90.26 for those majoring in English foreign language. Notably, the average level of English foreign language majors and their various dimension levels were both higher. Secondly, foreign language teachers with two years of training have an average teaching ability score of 91.32, which is 5.07 points higher than those with only one year of training. It proves the effectiveness of the practical application of this system, and this paper also provides suggestions for the development of teacher education by both teachers and schools, which is of practical significance for the optimization and improvement of foreign language teachers’ education in colleges and universities.
Construction of an Interactive Platform for Piano Teaching in Virtual Reality Environment
Authors: Xu Leiming
Published: October 2024

Under the impact of the wave of new technology, the form of piano teaching is no longer limited to the classroom and paper textbooks, and modern information technology, such as the Internet and virtual reality, is constantly integrated into traditional piano teaching. This paper utilizes the Unity3D engine to create a virtual reality environment for piano teaching interaction, based on VR technology, and to construct an interactive platform for piano teaching. Firstly, based on binocular stereo vision for the three-dimensional reconstruction of the teaching interactive scene, based on the improvement of the LeNet5 network for the user’s head gesture tracking, the constructed virtual scene realizes the real-time movement with the movement of the human head. The test set images using CPU-i76700HQ and GTX960 graphics cards consume 78ms and 25ms per frame, respectively, which meets the real-time system requirements. In this paper, the improved LeNet5 algorithm for head pose estimation without face detection is applicable and has a high detection accuracy of 99.31%, which is better than the algorithms such as Adaboost+Hough, LBF+BP, CNN+Heatmaps, DCNN, and FSA-Net, and is able to satisfy the real-time detection requirements of the virtual scene. The virtual piano teaching interactive platform has an average rating of more than 4 in attractiveness, subjectivity, interactivity, and convenience, but the running speed is only 3.46, so it is necessary to strengthen the technical support and improve the software and hardware level to break through the development bottleneck. Traditional piano teaching is given new vitality and kinetic energy by the interactive platform constructed in this paper for piano teaching in a virtual reality environment.
Research on Strategy and Practice of Enterprise Knowledge Management in Network Environment
Authors: Li Hongyu
Published: October 2024

The continuous progress of society and the emergence of science and technology have made knowledge management more and more the core and focus of enterprises, which provides constant power for the sustainable development and core competitiveness of enterprises. The article designs the enterprise knowledge management system model from five dimensions: knowledge resource layer, knowledge activity layer, information platform layer, protection mechanism layer and knowledge management system, and analyzes the application mode of enterprise knowledge management by combining the knowledge management execution process. Knowledge embedding and iterative alignment are introduced to build the enterprise knowledge entity alignment model, and the ConvE model and LSTM model are combined to integrate the enterprise’s historical knowledge to build the dynamic knowledge reasoning model. The evaluation index system for enterprise knowledge management capability maturity is designed and combined with the entropy weight method and object element topology method for comprehensive evaluation. The MRR value of the enterprise knowledge entity alignment model was 94.05%, the maximum score of entity and relationship prediction Hits@15 of the dynamic knowledge inference model was 88.64%, and the maximum score of the knowledge management capability maturity score of the sample enterprise was 83.26 points. Relying on multiple types of technology for enterprise knowledge blending, and combined with knowledge management evaluation, to help enterprises better formulate knowledge management systems, thus enhancing their competitiveness.
Strategies and Practices of Intelligent Imputation in Data Mining Based on Contact Number Evaluation
Authors: Luo Mingwan
Published: October 2024

This paper proposes the general architecture of a multi-scale classification system based on the intelligent imputation method of multi-scale classification. SVM is used to transform the storage structure model of the object, obtain the trained support vector set with corresponding weights, measure the similarity between two data points based on the Hausdorff distance, realize the construction of a similarity matrix, adopt the idea of mean value, blur the data information, and improve the mechanism of on-scale imputation. The bicubic difference method is used as the theoretical basis of scale-down extrapolation, and the scale-down extrapolation algorithm DAMSC is established. Based on the quaternionic linkage number, the dataset data are preprocessed, and the data eigenvalue weights are calculated at the same time. The multi-scale classification validity index evaluates the model’s accuracy in classification and its performance in both upward and downward scale extrapolation. When the categorized data is 7, the MSCVI metric of the model attains a peak of 0.92254 in the segmentation dataset run results, which is more advantageous than other metrics. In the regression test of the model’s imputation results, the correlation coefficient of bus passengers is 0.99, the adjusted R-square is 0.97043, and the coefficient of the regression equation is 1.042, and the model in this paper is valid and reliable for the imputation of passenger drop-off points.
Research on multi-camera data fusion for improving fire detection accuracy
Authors: Wang Wen , Chen Xianman , Zhou Meng , Xiao Dong , Zhou Yijun
Published: October 2024

With the rapid urbanization in China, the use of various electrical equipment and a large number of flammable materials has led to an increasing trend in the frequency of fires from year to year. In this paper, we start with data fusion to collect fire open data fragments so as to establish a fire detection dataset. A fire monitoring terminal that utilizes multi-feature fusion is created using the data fusion algorithm of the convolutional neural network to improve the main structure of the YOLOv5 fire detection model. The detection effect of the improved model is compared with other network models when combined. In this paper, it is found that the improved YOLOv5 model has better training time and steady state of training effect than the other three groups of models, and its mAP value is improved by 22.1%, 13.6% and 10.13% compared with the other three models, respectively. The average detection accuracy of the improved model for flames and smoke generated with different materials is also higher than that of the other three groups of models. At the same time, the improved model has stronger network classification and checking abilities, and is more accurate in recognizing whether a fire is occurring in the image. In this paper, by improving the YOLOv5 model, it is effectively applied to the fire detection work, realizing the dynamic analysis of real-time detection of flame and smoke and providing an effective detection model for fire monitoring.
Econometric modeling of carbon price impacts on the bidding mechanism between different energy sources in the electricity market
Authors: He Anqi
Published: October 2024

Virtual power plants (VPPs) can aggregate different energy sources into a whole to participate in the electricity market and carbon trading market, and as the scale of VPPs continues to expand, they will also be transformed from the original price takers to price makers. The paper considers VPP as a price setter and suggests a two-tier bidding strategy for the VPP day-ahead electricity market that incorporates the impact of the carbon price. Among them, the upper-layer model aims to maximize the expected revenue of VPP, while the lower-layer model aims to minimize the system clearing cost. The dynamic carbon emission factor is used in the strategy to create a market incentive factor that corrects the offer price of each unit before clearing it again. Finally, the optimal bidding strategy, as well as the operation plan of the VPP, are given through an arithmetic example, and the impact of the uncertainty in the wind farm output forecast in the VPP on the expected return of the VPP is analyzed. The impact of carbon prices on power prices, output, and rates of energy demand change are further explored to provide a basis for the compensation mechanism for ecological protection of carbon values. The arithmetic example shows that VPP can influence the market price through strategic bidding decisions, and after considering the carbon price, the power market clearing price is 4.46 yuan/MWh, and the maximum gain is obtained as 225.54. The consumption rate of new energy units such as WT and PV is increased, the carbon emissions are reduced, and the total gain of VPP is increased. The increase in carbon prices and the offer of traditional generators increase the amount of electricity cleared by renewable energy units, while the increase in carbon quota ratio and the offer of new energy generators increase the average clearing price.
Research on Vehicle Detection Algorithm Based on Embedded ARM
Authors: Deng Yueming , Deng Dan
Published: October 2024

Based on the theory of machine learning in the field of artificial intelligence, this paper proposes to use the computer vision platform OpenCV to construct an embedded ARM vehicle detection model. Determine the ARM embedded software and hardware and adopt Haar features for the Adaboost algorithm to design the OpenCV vehicle classifier. Cross-compile the ARM chip using Linux to generate new firmware for OpenMV. Use the DFU tool for embedded ARM chips to upgrade and re-burn them into the embedded development board for machine vision OpenMV. By using the classifier file and OpenCV’s image processing algorithm, the work of vehicle detection and recognition is completed, and the vehicle target is labeled with a candidate box in the picture and video. The results demonstrate that the algorithm in this paper maintains the leakage detection rate and false detection rate below 5% in four different working conditions: strong light, normal light, weak light, and nighttime, thereby fully demonstrating the effectiveness of the research conducted in this paper.
Research on College Students’ Career Planning and Employment Guidance Strategies Assisted by Artificial Intelligence
Authors: Feng Ke
Published: October 2024

The number of college graduates is increasing year by year, and college students’ career planning and employment have always been a high concern of the community. The article describes the specific role of artificial intelligence technology in assisting college students’ career planning and employment guidance and combines WEB technology to construct a college student’s career planning and employment guidance service platform. The information entropy is used to construct the feature importance set of student employment data, and the simple Bayesian algorithm is used to realize the construction of the classification model of student employment service data in combination with the feature importance. On the basis of considering the selection of students’ employment information, the time decay factor is introduced to improve the personalized recommendation algorithm, and the cosine similarity between students’ employment positions is calculated so as to realize the generation of students’ employment service information recommendation. The area of the classification ROC curve of the plain Bayesian model is more than 95%, the classification time for student employment service data is only 5.62ms, and the F1 value of the employment service information recommendation result is 6.03% higher than that of the traditional method. The college students’ career planning and employment guidance service platform was only satisfactory for 31.77% of the students, with the highest satisfaction score of 3.69 for getting information. Relying on artificial intelligence technology can help students make personalized recommendations for employment service information, which can improve the level of career planning and guidance for college students.
Daily Load Forecasting and Data-Driven Strategies for Steel Industry Based on Random Forest Modeling
Authors: Wang Siteng , Zhang Luxi , Cao Zhiyuan , Zhang Rui , Zhang Liwei
Published: October 2024

As a large power consumer, the iron and steel industry urgently needs to improve productivity, reduce energy consumption, and save costs by revolutionizing energy management. In this study, we design a power demand management system for the iron and steel industry, and around the load management module, we propose a data-driven strategy based on daily load situational awareness and introduce the random forest model into daily load forecasting in the iron and steel industry. At the same time, the projection principle is applied to improve the traditional gray correlation similar day selection algorithm, and a combination method of daily load forecasting based on the gray projection improved random forest algorithm is proposed. The electric load data of the iron and steel industry in a specific region is utilized as an experimental sample to investigate the model’s forecasting performance and the impact of the data-driven strategy. The model for daily load forecasting in this paper has an average relative error of 1.18%, which is better than other models. The application of the data-driven strategy brought about 6.99% and 6.69% reductions in load demand and basic electricity cost. The data-driven strategy for the steel industry based on the Random Forest model can predict electric loads more accurately and reduce energy costs, as shown by the results.
Research on Enterprise Financial Management Strategy and Framework for Digital Transformation
Authors: Zhang Yingying
Published: October 2024

In the wave of the information age, enterprises must undergo digital transformation in order to respond to and implement the national development strategy and improve their core competitiveness. This paper constructs a strategic framework for enterprise financial management in digital transformation and evaluates the effects of digital transformation on profitability levels and operating costs. A theoretical model is created for the impact of digital transformation on enterprise financial management; research hypotheses are proposed, research variables are established, and research hypotheses are tested for authenticity. After the implementation of digital transformation, the subject enterprise M Group has not maintained its net profit growth for a long time. However, it has been on an upward trend from 2014 to 2016. The growth rate of net profit is expected to be within 20% from 2017 to 2023, with room for further development. In the benchmark regression of the model, it was found that there is a significant positive correlation between the index of financial digital transformation and the financial performance of businesses, with a coefficient of 0.0154 at the 5% level. This means that the more businesses digitize their finances, the better their financial performance.
The guiding significance of consumer visual perception on the packaging design of cultural and creative products
Authors: Huang Yuchun
Published: October 2024

The packaging of cultural and creative products plays a crucial role in enhancing their competitiveness, with exquisite packaging significantly contributing to meeting the personalized needs of consumers and stimulating their desire to purchase. This paper examines the visual perception factors involved in the packaging design of cultural and creative products using the visual attention mechanism and categorizes the design factors according to demand using the Kano model. The hierarchical analysis method is used to determine the consumer demand weight of each design factor. The packaging solutions for cultural and creative products are finalized, and the TOPSIS method is employed to assess each solution. The hierarchical analysis model achieves consistency ratios of 0.076, 0.016, 0.003, and 0.004 for the target layer Z and the criterion layers M, O, and A, respectively, all of which are less than 0.1, thereby passing the consistency test. Among the three designed packaging schemes for cultural and creative products, scheme 1 has the largest S value, which is 0.899. Therefore, scheme 1 is the best design scheme. The existing sample scheme has a S value of 0.013, which is smaller than that of the other three design schemes. The integrated Kano-AHP-TOPSIS packaging design path’s design schemes for cultural and creative products are more likely to meet consumers’ needs, demonstrating the path’s practical feasibility and the importance of consumer visual perception in shaping packaging design for these products.
Analysis of garment watermark design based on multilayer coding genetic algorithm
Authors: Zhou Ying
Published: October 2024

It has become a trend to publish clothing design works in the form of digitized images and other media on the network. This topic focuses on the watermark logo of clothing design. After sorting out the ideas of copyright protection of clothing design, constructing a clothing watermark design model based on the discrete cosine variation method and using a multilayer coding genetic algorithm to find the optimization band to improve the invisibility and robustness of the watermark. Experiments are designed to explore the aesthetic effect of clothing watermark design, and it has been found that the model in this paper achieves the maximum capacity in the steganography task with good concealment. Different attack training results in the model’s PSNR and SSIM values exceeding 40 and 0.92, respectively. The NC value stays above 0.91 under different intensity attacks, which validates the invisibility and robustness of the garment watermark design model based on a multilayer coding genetic algorithm. The model in this paper has improved garment watermark embedding and watermark extraction capabilities.
Implicaciones del Reglamento (UE) 2023/1543 sobre ordenes europeas de entrega y conservación de pruebas electrónicas y la Directiva (UE) 2023/1544 en el proceso penal
Authors: Muriel Diéguez Juan A.
Published: October 2024

El objeto de este trabajo se centra en el análisis crítico del Reglamento (UE) 2023/1543 del Parlamento europeo y del Consejo de 12 de julio de 2023 “sobre las órdenes europeas de producción y las órdenes europeas de conservación a efectos de prueba electrónica en procesos penales y de ejecución de penas privativas de libertad a raíz de procesos penales, y la Directiva (UE) 2023/1544 del Parlamento Europeo y del Consejo de 12 de julio de 2023, por la que se establecen normas armonizadas para la designación de establecimientos designados y de representantes legales a efectos de recabar pruebas electrónicas en procesos penales, que complementa el Reglamento, ambas aprobadas el 13 de junio de 2023. Este Reglamento largamente esperado viene a dar respuesta a la necesidad de buscar instrumentos eficaces a la hora de combatir los delitos tecnológicos, intentando superar la fragmentación normativa entre Estados miembros de la Unión Europea en el ámbito del proceso penal.
Precocidade e "retórica" na construção da escola de massas em Portugal
Authors: Araújo Helena C.
Published: October 2024

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Pedagogia do oprimido: As minhas memórias de Paulo Freire
Authors: Iturra Raul
Published: October 2024

Revisão do texto português por Irene Cortesão Costa.
Managing Inclusion and Financial Education for Sustainable Development
Authors: Robles Luis Fernando Zamudio , Romero Roberto Burgueño , Mendias Bryan Alonso Ramos
Published: October 2024

Objective: The objective of this study is to analyze the importance of effective management of financial inclusion and education in the context of sustainable development, highlighting its impact on the achievement of the SDGs. It also aims to identify the main challenges faced by vulnerable populations in accessing financial services and propose comprehensive strategies to improve financial literacy and accessibility, contributing to a more inclusive and equitable society.
 
Theoretical Framework: For this research we have several relevant approaches and theories such as: financial inclusion theory; its relationship with the SDGs; financial education theory, as well as inclusion and sustainable development.
 
Method: The methodology adopted for this research comprises a qualitative approach, based on the review of documents, public policies and government programs on financial inclusion and education to assess their effectiveness with respect to the SDGs. Data from the World Bank's Data Dashboard (The Global Findex Database, 2024) was analyzed using content analysis, which allowed identifying key themes and gaining a deeper understanding of the perceptions and experiences related to the evaluated programs..
 
Results and Discussion:The results obtained revealed that, although there is progress in financial inclusion in Mexico, there are still areas of opportunity to improve access to and use of financial services, especially among the most vulnerable segments of the population. It is necessary to highlight the need to continue working on the promotion of financial inclusion in Mexico and in other regions, through public policies that promote financial education, technological innovation, and collaboration between the public and private sectors.
 
Research Implications: The practical implications of this research include the improvement of public policies and programs focused on financial inclusion and education, promoting more equitable access to financial services in vulnerable populations. At a theoretical level, the study provides a deeper understanding of the relationship between financial management and sustainable development, offering a conceptual framework that links financial inclusion with the SDGs. This strengthens the academic analysis on how financial education can drive inclusive economic growth.
 
Originality/Value: The originality and value of this research lies in its focus on the direct relationship between financial inclusion and financial education with the SDGs, an area underdeveloped in the literature. The research offers a new perspective by assessing how financial education can be a key tool for achieving equitable and sustainable development. Its contribution to the literature is in providing a detailed analysis of public policies and government programs, highlighting their effectiveness and identifying areas for improvement, which brings a comprehensive and updated approach to the study of financial inclusion.
OPTIMALISASI PENGIRIMAN BARANG UNTUK MEMAKSIMALKAN GROSS PROFIT PADA PT LOGISTIK ABC
Authors: Kurniawan Wahyu , Manalu Haposan Vincentius , Putri Oktaviana , Kemalaintan Nurmasitya , Husain Fakhril
Published: October 2024

The COVID-19 pandemic has had a significant impact on the Indonesian economy, particularly in the transportation and logistics sector. This sector has experienced fluctuations in financial performance triggered by the COVID-19 pandemic. However, after overcoming this challenging period, the Indonesian economy has shown positive trends. A leading logistics company, PT Logistik ABC, located in Jakarta, has a non-exclusive working agreement with a herbal medicine manufacturing company, PT XYZ. PT XYZ provides the required quantity of goods, but PT Logistik ABC is not obligated to fulfill the entire demand. The issue lies with PT Logistik ABC, as they transport goods from Jakarta to Semarang, but the fleet condition from Semarang to Jakarta is empty. With this situation, PT Logistik ABC aims for a higher gross profit by maximizing the available resources. Therefore, this study employs an optimization approach to optimize gross profit using non-linear programming. The optimal gross profit obtained is Rp150,893,000.00, representing 62% increase from the previous amount of Rp93,461,000.00.