bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainable Business Model in Small and Medium-Sized Enterprises: A Study in Yogyakarta and Magelang
Authors: Pramudyastuti Octavia Lhaksmi , Iswanaji Chaidir , Setyawan Supanji , Atika Atika , Simamora Alex Johanes 
Published: September 2023

This study aims to analyze Yogyakarta and Magelang Small and Medium-Sized Enterprises (hereafter) SMEs based on sustainable business model implementation. This study gives new evidence of Yogyakarta and Magelang SMEs’ businesses based on sustainable business model where Indonesian SMEs’ experience the economic crash of Covid-19. This study uses a qualitative descriptive method. Specifically, uses method of qualitative evaluative where this study evaluates SMEs business process by using sustainable business model. Research sample includes 40 SMEs in Yogyakarta and Magelang. Evaluation of SMEs’ business is based on elements of sustainable business model including key partner, key activity, key resources, value proposition, customer relationship, channels, customer segment, cost structure, revenue stream, cash flow management, pivoting plan, and ecological concern. This study uses a “yes and no” questionaries with 13 questions that refers to the elements of sustainable business. Based on the result, this study finds that most SMEs in Yogyakarta and Magelang, implement the elements of a key partner, key activity, key resources, value proposition, customer relationship, channels, cost structure, pivoting plan, and ecological concern. On the other hand, most SMEs do not implement elements of customer segment, revenue stream, and cash flow management. Socialization and special training is needed from various parties related to the implementation of sustainable business models for SMEs.
Optimizing Strategy of Computer Teaching Mode in Universities Based on Continuous Discrete Method
Authors: Zhang Yan 
Published: September 2023

Abstract
To improve the teaching effect of computer courses, make students master computer knowledge, and improve computer operation skills, this paper proposes a computer teaching model of continuous, discrete methods in colleges and universities. This paper investigates the teaching mode of traditional computer teaching methods in colleges and universities and proposes a continuous, discrete computer teaching model for the drawbacks of traditional computer teaching methods. The discrete learning teaching matrix and teaching process are constructed using the information entropy-based rough set discretization algorithm. Moreover, the teaching effects are compared with traditional methods regarding students’ learning interests, homework completion, and test scores. In terms of homework completion rate: the correct homework rate of the class using the discrete learning method was 20% higher than that of the class using the traditional teaching method.
Regarding skill and overall test scores, the number of students who excelled in the classes using discrete learning reached about 50%, 20% more than the conventional teaching method. 20% fewer students scored below 60 than in the classes using the conventional teaching method. Moreover, after implementing discrete learning concept teaching, students’ interest in learning increased by more than 40%. Therefore, it can be seen that the teaching mode of the discrete learning concept is beneficial to the teaching of computer courses.
Esearch on the optimization path of campus football teaching based on deep learning mode
Authors: Zou Hong 
Published: September 2023

Abstract
To better improve students’ physical quality, this paper constructs a self-coding training model for the optimal path of football physical education based on the self-coding neural network in the deep learning model. The student’s physical performance and teaching methods are input into the self-coding neural network for the optimal path of football physical education as the input layer. The data are corrected by regularizing and balancing the data in the input layer through coding and decoding in the implicit layer. The corrected data is reconstructed and transformed as the input layer of the next level of the self-coding neural network. The above steps are repeated until the same output layer parameters as the pre-trained model are reached, resulting in the optimization path of football physical education teaching: changing the teaching mode and improving the teaching ability of teachers. The simulation results show that the optimized teaching mode can improve the average score of students’ football physical education by 33 points. Taking junior students as an example, after the teacher’s teaching ability was improved, the excellent rate of students’ football physical education scores increased from 7% to 29%. From the above results, it can be seen that the optimized path of football physical education based on the deep learning model is feasible and can improve students’ physical quality.
Deep learning algorithm-based wearable device in basketball motion dynamic analysis
Authors: Chen Feng , Xu Junlin 
Published: September 2023

Abstract
For wearable device motion monitoring, the accuracy rate is not high, and the background is complex. The motion tracking problem can be studied deeply using deep learning methods. In this paper, we design an instance-aware feature extraction network SiamRPN++, which can effectively distinguish different instances of the same object and avoid the “drift” of the tracker due to similar interfering objects. Secondly, a template update strategy based on mapped gradient (PGD) is proposed to address the problem of dramatic changes in target morphology during the motion tracking process. Finally, the PGD-based algorithm updates the templates effectively during the tracking process to avoid the failure of the tracking task due to the change in target morphology. The experimental results demonstrate that the target tracking algorithm using SiamRPN++ improves by a 12.24% success rate and 14.41% accuracy when tested on the target tracking dataset. The target tracking algorithm using the PGD template update strategy improves by 9.67% in success rate and 14.61% in accuracy. Wearable devices based on deep learning algorithms can achieve scientific guidance of sports exercise to provide strong support for avoiding the risk of high-intensity exercise and escorting safe and healthy sports.
Research on the integration of curriculum thinking and politics into the construction of grassroots party building and nurturing work under the perspective of Internet+
Authors: Huang Jinyan 
Published: September 2023

Abstract
Integrating the ideological science embedded in curriculum thinking into the development of grassroots party building to activate the nurturing function of curriculum thinking. In this paper, the principle of the XGBoost algorithm is explained from the Internet+ perspective, and the Taylor expansion is performed using the regularization term and the objective function to optimize the objective function of the XGBoost algorithm. Then the XGBoost model is trained to determine its optimal splitting nodes, and the model’s performance is evaluated by the ten-fold cross-validation method. The XGBoost model was then used to analyze the development data of a university’s curriculum thinking and politics integrated into grassroots party building and to explore its nurturing function and nurturing mode. From the performance evaluation, the average accuracy, precision, and recall were 88.59%, 83.46%, and 84.54%, respectively, and the average comprehensive evaluation index was 0.845, and all the indexes met the expected performance requirements of the model. From the perspective of the nurturing model, the mean values of whole-person nurturing, whole-process nurturing, and all-round nurturing are 36.77%, 23.03%, and 40.19%, respectively, and the curriculum thinking and government can be perfectly integrated into the grassroots party building and fully enhance its nurturing function. Under the Internet+ perspective, the XGBoost model is used to analyze the corresponding data on the integration of curriculum thinking politics into grassroots party building, which can provide new directions for developing grassroots party building and curriculum thinking politics.
Research on the cultural innovation system of the old industrial base of Northeast China under the environment of big data
Authors: Liu Zhengyang 
Published: September 2023

Abstract
This paper aims to study how to innovate and develop the culture of the old industrial base of Northeast China in the environment of big data. In this paper, based on sorting out the big data processing process, a data mining model based on the Bayesian network is established, parameter learning is performed using great likelihood estimation, and the Bayes-Dilley scoring function is obtained by structure learning. Then, based on the trained network, the big data mining analysis is performed on the cultural industry of the old industrial base of northeast China and the northeast China cultural impression words on social networks. From 2018 to 2021, the successive annual growth values of the cultural industry of the old industrial base of northeast China are 119.835 billion yuan, 120.345 billion yuan, 115.764 billion yuan, 116.001 billion yuan, and the proportion of GDP increased from 2.11% raised to 2.38%. Among them, Jilin was raised from 2.14% to 2.46%, Heilongjiang from 2.65% to 2.72%, and Liaoning from 1.03% to 1.52%. The cultural innovation of the old industrial base in Northeast China under the environment of big data should abandon the traditional culture, find the cultural positioning, break through the thinking stereotype, create a new advanced culture, and change the ideology.
Application of machine vision for the detection of powder bed defects in additive manufacturing processes
Authors: Korzeniowski Marcin , Małachowska Aleksandra , Wiatrzyk Marta 
Published: September 2023

Abstract
The quality of the powder layers in the 3D printing process is extremely important and directly corresponds to the quality of the structures made with this technology. Therefore, it is essential to control it. It can be made in-line with a vision system combined with image processing algorithms, which can significantly improve control of the process and help with the adjustment of powder spreading systems, especially in case of difficult-to-feed powders like magnetic ones – e.g., Fe-based metallic glass powder – Fe56.04Co13.45Nb5.5B25. In this work, two algorithms – machine learning – Support Vector Machines (SVM), deep learning – Convolutional Neural Networks (CNN) – were evaluated for their ability to detect and classify the enumerated anomalies based on powder layer images. The SVM algorithm makes it possible to efficiently and quickly analyze the powder-spreading process. CNN, however, appears to be a more promising choice for the developed application, as they alleviate the need for complex image operations.
Central and peripheral pulmonary sclerosing pneumocytomas: multi-phase CT study and comparison with Ki-67
Authors: Zhang Yanli , Ran Chao , Li Wei 
Published: September 2023

Abstract

Background
This study aimed to evaluate the multi-phase CT findings of central and peripheral pulmonary sclerosing pneumocytomas (PSPs) and compared them with Ki-67 to reveal their neoplastic nature.

Patients and methods
Multi-phase CT and clinical data of 33 PSPs (15 central PSPs and 18 peripheral PSPs) were retrospectively analyzed and compared their multi-phase CT features and Ki-67 levels.

Results
For quantitative indicators, central PSPs were larger than peripheral PSPs (10.39 ± 3.25 cm3
vs. 4.65 ± 2.61 cm3, P = 0.013), and tumor size was negatively correlated with acceleration index (r = −0.845, P < 0.001). The peak enhancement of central PSPs appeared in the delayed phase, with a longer time to peak enhancement (TTP, 100.81 ± 19.01 s), lower acceleration index (0.63 ± 0.17), progressive enhancement, and higher Ki-67 level. The peak enhancement of peripheral PSPs appeared in the venous phase, with the shorter TTP (62.67 ± 20.96 s, P < 0.001), higher acceleration index (0.99 ± 0.25, P < 0.001), enhancement washout, and lower Ki-67 level. For qualitative indicators, the overlying vessel sign (86.67% vs. 44.44%, P = 0.027), prominent pulmonary artery sign (73.33% vs. 27.78%, P = 0.015), and obstructive inflammation/atelectasis (26.67% vs. 0%, P = 0.033) were more common in central PSPs, while peripheral PSPs were more common with halo sign (38.89% vs. 6.67%, P = 0.046).

Conclusions
The location of PSP is a possible contributing factor to its diverse imaging-pathological findings. The tumor size, multi-phase enhancement, qualitative signs, and Ki-67 were different between central and peripheral PSPs. Combined tumor size, multi-phase findings, and Ki-67 level are helpful to reveal the nature of the borderline tumor.
The Effect of Vermicompost Application on Yield and Nutrient Concentration of Oily Rose
Authors: Kural Fatih , Coşkan Ali 
Published: September 2023

In the study, the impact of employing vermicompost to boost oil rose (Rosa damascena Mill.), a native of Isparta province, to improve yield and nutrient content, was explored. Four different doses (V0: 0 kg ha-1, V1: 1000 kg ha-1, V2: 2000 kg ha-1, and V3: 3000 kg ha-1) of vermicompost were tested in the field conditions at 3 replicates. Vermicompost was applied to the canopy projection area and incorporated into the soil. Flower harvest was started on April 30, 2018, and throughout 20 days, the blooming flowers were collected and weighed daily basis. Following the harvest, leaf samples were collected from the plants, and the concentrations of certain macro and micronutrients were assessed.The study's findings demonstrated that applying vermicompost boosted the yield of oily rose blooms. The greatest yield value was determined to be 5850 kg ha-1 at a vermicompost dose of 2000 kg ha-1, which was 660 kg ha-1 greater than the control application. It was observed that vermicompost treatments had no significant influence on plant nutrient concentrations. This condition is assumed to be related to the removal of minerals from the plant during harvest. The findings indicate that the usage of vermicompost can contribute in the production of oil roses, and a dose of 2000 kg ha-1 can be suggested. This research establishes the feasibility of employing vermicompost in oil rose cultivation and sets the framework for future research.
PENEMPATAN LOKASI OPTIMAL STATIC VAR COMPENSATOR (SVC) UNTUK MINIMISASI RUGI DAYA MENGGUNAKAN METODE PARTICLE SWARM OPTIMIZATION (PSO)
Authors: Mulyana Defa 
Published: September 2023

Suatu sistem yang baik seharusnya memiliki nilai tegangan yang tidak melebihi batas toleransi dengan kerugian daya yang minimal. Kualitas tegangan sangat dipengaruhi oleh ketersediaan sumber daya reaktif pada sistem. Profil tegangan dan rugi-rugi daya adalah dua parameter yang sangat perlu dijaga dalam sistem tenaga listrik (STL). Kompensasi daya reaktif adalah cara dalam mengatasi persoalan tegangan dan rugi-rugi daya dengan cara menginjeksi daya reaktif STL menggunakan device kontrol pada saluran tranmisi yang disebut dengan Flexible Alternating Current Tranmission System (FACTS) salah satunya Static VAR Compensator (SVC). SVC terdiri dari komponen Thyristor Controlled Reactor (TCR), Thyristor Switched Capasitor (TSC) dan Filter Capasitor (FC). Filter harmonisa terhubung paralel dengan TCR yang berfungsi untuk mengatasi harmonisa yang dihasilkan oleh TCR. Disamping itu, permasalahan penempatan kompensasi daya reaktif yang optimal adalah menjadi perhatian pada makalah ini. Metode Particle Swarm Optimization (PSO) digunkan untuk mencari lokasi yang tepat. Analisa aliran daya menggunakan Electric Transient Analysis Progam (ETAP). Dengan menempatkan SVC pada Bus 17 mampu mengurangi rugi-rugi daya aktif dari 0,155 MW menjadi 0,140 MW turun sebesar 0,15 MW setara dengan 10 kW dan untuk rugi-rugi daya reaktif dari 0,107 MVAR menjadi 0,097 MVAR turun sebesar 0,1 MVAR setara dengan 10 kVAR.
ANALISIS DAN SIMULASI DESAIN PENAMBAHAN PENYULANG PADA GARDU INDUK KEBASEN – TEGAL
Authors: Pramanasari Ni Putu , Solichan Achmad , Assaffat Luqman 
Published: September 2023

Pusat pembangkit yang terlalu jauh dari beban menyebabkan kerugian pada saat penyaluran energi listrik. Seperti yang terjadi pada penyulang KSN11 dan penyulang KSN12 pada Gardu Induk Kebasen yang mengalami drop tegangan dan rugi daya ketika penyaluran energi menuju konsumen. Nilai tegangan ujung pada penyulang KSN11 adalah sebesar 18,60 kV dengan persentase beban 51% dan nilai tegangan ujung pada penyulang KSN12 adalah sebesar 17,75 kV dengan persentase beban 60%. Metode penelitian ini menggunakan simulasi ETAP 12.6 dengan melakukan pemecahan beban. Hasil penelitian ini menunjukan bahwa nilai persentase drop tegangan untuk Penyulang KSN11 mengalami penurunan sebesar 1,62 %, untuk penyulang KSN12 mengalami penurunan sebesar 4,12% sedangkan untuk penyulang KSN20 mengalami kenaikan sebesar 3,08%. Dan untuk nilai rugi rugi daya total juga mengalami penurunan sebesar 564,84 kW untuk penyulang KSN11, penyulang KSN12, dan penyulang KSN20.
Improving Emotional Regulation Through Role Awareness Training Among Youth Athletes
Authors: Oktafiani Wafiq Alfina , Jannah Miftakhul 
Published: September 2023

Creating outstanding athletes requires preparation from adolescence so that they can make long-term achievements. However, adolescent athletes are faced with two situations, namely puberty and dual roles that make their responsibilities heavier. This leads to disruption of emotional regulation which is important for adolescent athletes to have. One effort to improve emotional regulation in adolescent athletes is through role awareness training. This study aims to determine the effect of role awareness training on emotional regulation in adolescent athletes. This study uses a quantitative experimental method with a pretest-posttest control group design with the research subject, namely adolescent athletes who live in the training center of the National Potential Young Athletes Center (SLOMPN) as many as 24 people with an age range of 13-15 years old. Emotion regulation was measured using the IERQ4S instrument with a reliability value of .824. The results of this study indicate a difference in the significance value in the experimental group which is 0.01 (0.01 <0.05). While in the control group, it is 0.05 (0.85>0.05). Increased emotion regulation through role awareness training is influenced by intrinsic and extrinsic factors. The results of this study provide advice to future researchers to examine other types of awareness training.

Pada proses mencetak atlet yang berprestasi diperlukan persiapan sejak remaja agar mereka dapat mencetak prestasi secara jangka panjang. Namun, atlet remaja dihadapkan pada dua situasi, yaitu pubertas dan peran ganda yang membuat tanggung jawab mereka menjadi lebih berat. Hal ini menimbulkan terganggunya regulasi emosi yang penting untuk dimiliki oleh atlet remaja. Salah satu upaya untuk meningkatkan regulasi emosi pada atlet remaja adalah melalui role awareness training. Penelitian ini bertujuan untuk mengetahui adanya pengaruh role awareness training terhadap regulasi emosi pada atlet remaja. Penelitian ini menggunakan metode kuantitatif eksperimen dengan desain pretest-posttest control group design dengan subjek penelitian yaitu atlet remaja yang menetap di training center Sentra Olahragawan Muda Potensial Nasional (SLOMPN) sebanyak 24 orang dengan rentang usia 13-15 tahun. Regulasi emosi diukur dengan menggunakan instrumen IERQ4S dengan nilai reliabilitas .824. Hasil penelitian ini menunjukkan adanya perbedaan nilai signifikansi pada kelompok ekperimen yaitu 0.01 (0.01<0.05). Sedangkan pada kelompok kontrol yaitu 0.05 (0.85>0.05). Peningkatan regulasi emosi melalui role awareness training dipengaruhi oleh adanya faktor intrinsik dan ekstrinsik. Hasil penelitian ini memberikan saran kepada peneliti selanjutnya untuk mengkaji terkait jenis awareness training yang lainnya.
ANALISIS PENYADAPAN PADA TELEGRAM DENGAN NETWORK FORENSIC
Authors: Citra Dewi Nadiya , Sutabri Tata , Putrawansyah Ferry 
Published: September 2023

Telegram adalah ebuah aplikasi layanan pesan instan multiplatform berbasis cloud yang bersifat gratis dan nirlabadan mampu bersaing dengan aplikasi whatsapp (WA). Telegram mampu meningkatkan berbagai fitur yang belum dikembangkan WA dari berbagai posisi. Diantarnya pengiriman file besar yang mampu dikirim melalui telegram. Fitur ini tentunya dapat mempermudah pertukaran informasi maupun data. Telegram juga memberikan celah keamanan yang melibatkan kedua device yakni smartphone dan computer. Penanganan tindak kejahatan yang melibatkan piranti digital perlu ditekan sehingga dapat membantu proses peradilan akan efek yang ditimbulkanya. INvestigasi forensic digital turut berperan serta terhadap penindakan penyalahgunaan fitur layanan pesan instan telegram diantaranya Langkah investigasi penanganan kasus penyadapan percakapan telegram melalui serangkaian tahapan baku sesuai proses dan prosedur forensika digital. Eksplorasi barang bukti (Digital evidence) percakapan telegram akan menjadi acuan akan tindak kejahatan penyadapan telekomunikasi yang selanjutnya akan dilakukan report investigation forensics yang melibatkan barang bukti smartphone dan computer korban. Mobile Forensic Analysis dan Investigation pada smartphone Android dan aplikasi ganda berbasis web browser. Database QR Code membutuhkan autentikasi terhadap smartphone hanya sekali setiap saat login pertama kali sehingga dibutuhkan kewaspadaan penggunanya seperti penggunaan pattern lock pada smartphone dan login user password pada komputer penggunanya. Proses akuisisi langsung terhadap smartphone korban dan analisis web browser pada komputer.
Pengaruh Social Presence terhadap Kemampuan Problem Solving dalam Kelompok pada Mahasiswa Universitas X
Authors: Nabilah Reghina Hasna , Putri Angesti Najwa Maritza , Illahi Exa Ilham , Fitri Eva Laelatul , Yudiana Whisnu 
Published: September 2023

Penelitian ini bertujuan untuk mengetahui pengaruh dari social presence yang muncul dari aktivitas mengaktifkan atau menonaktifkan kamera pada video conference terhadap kemampuan problem solving dalam kelompok. Penelitian ini menggunakan metode eksperimen dengan instrumen yang dipakai adalah Social Presence Scale serta puzzle Tower of Hanoi dengan mengukur reaction time, latensi, dan jumlah gerakan dari kelompok responden (N=79). Hasil analisis mengindikasikan bahwa tidak terdapat perbedaan yang signifikan pada social presence, reaction time, latensi, dan jumlah gerakan antara kelompok yang mengaktifkan kamera dan kelompok yang tidak mengaktifkan kamera (p>0.1). Hal ini bisa jadi disebabkan oleh adanya perbedaan dalam kecenderungan aktif berpendapat, adanya dominasi individual, dan perbedaan pengetahuan akan masalah. Implikasi dari penelitian ini akan dibahas lebih lanjut di dalam artikel.