bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing inclusivity: A holistic approach to psychomotor development and adapted football programs for children with intellectual disabilities
Authors: Stefanica Valentina , Mercea Ionuț-Traian , Ursu Vasile Emil , Gorban Corneliu Florin , Gheorghe Cristian Dragos , Mihaiu Costinel , Groza Gina Gogean 
Published: August 2024

Abstract

Aim.
The aim of this article is to investigate the effectiveness of personalized psychomotor programs, particularly focusing on adapted football programs, for children with intellectual disabilities (ID).

Material and methods.
Twelve participants, with a mean age of 17.42 years underwent a carefully designed intervention program spanning 36 weeks. The program aimed to enhance fundamental movement skills, integrate these skills into specialized football training, and culminate in a Unified 7-a-side Football Match. Results indicate significant improvements in static and dynamic balance. Moreover, the intervention positively impacted social interaction among participants. The statistical analysis in this study involved the utilization of the Paired Samples t-Test (One-Sample), a method for comparing means within paired groups, which enabled a comprehensive examination of the data to assess the significance of observed alterations and understand the intricate interrelationships among variables.

Results.
Results revealed significant differences between pre- and post-intervention measurements, providing robust evidence of the program's efficacy. The significant associations between physical parameters and social interaction underscore the interdependency between physical fitness and social engagement. Our findings suggest that improvements in physical abilities may contribute to increased social interaction among children with intellectual disabilities, underscoring the holistic nature of our intervention, which addresses multiple dimensions of development simultaneously. The findings underscore the holistic benefits of integrating psychomotor development and adapted football programs for adolescents with intellectual disabilities, emphasizing the importance of promoting inclusive physical activities for their overall well-being. Through psychological analyses, we gained insights into their cognitive and emotional dimensions. Subsequently, we formulated a holistic framework for integrating psychomotor interventions with adapted football programs.

Conclusions.
Evaluating the advancements achieved through the implemented training programs, we aimed to contribute to the promotion of inclusivity for children with mild ID within society and the educational system. This research endeavors to contribute to the growing body of knowledge surrounding the holistic development and social inclusion of children with ID. This study examines the effectiveness of a comprehensive psychomotor development program.
Kreativitas Pertunjukan Musik dalam Perspektif Bergsonian
Authors: Jatmika Ovan Bagus , Mustikawati Retno , Wisnumurti Nikolas Antares Adi Pradana 
Published: August 2024

Penelitian fenomenologi ini mengulas aspek kreativitas pada pertunjukan musik klasik dari perspektif Bergsonian (dan juga Deleuzian). Masalah yang coba dijawab adalah hubungan antara repetisi (praktik dengan tradisi yang berulang) dengan kreativitas (kebaruan yang diproduksi dari praktik yang berulang tersebut). Data penelitian diambil melalui wawancara dengan tiga musisi klasik (pianis Ary Sutedja, gitaris Royke Koapaha, dan dirigen Adrian Prabawa). Hasil penelitian menunjukkan bahwa praktik repetisi berdampak pada tiga model pengalaman: repetisi sebagai cara membangun secure, repetisi sebagai kondisi pengalaman yang bergerak diantara dua tendensi, serta pengalaman sensasi. Dari temuan data dapat didiskusikan bahwa repetisi hanya bisa menghadirkan kebaruan sejauh melibatkan intensifikasi sehingga bisa menggeser kesadaran orang dari satu teritori pengalaman ke teritori pengalaman baru. Dengan demikian dapat disimpulkan bahwa musik, sejauh melibatkan praktik intensifikasi, dapat dilihat sebagai praktik pengembangan kedirian dalam arti, bisa membuat orang mengalami kesadaran baru melalui pergeseran kesadaran.
Strategi Penghematan Pembayaran PPh Pasal 21 Melalui Perencanaan Pajak
Authors: Sulistyaningsih Reny , Fanani Baihaqi , Susetyo Budi 
Published: August 2024

Tujuan penelitian ini antara lain untuk mengetahui peren­ca­na­an pajak Perumda Air Minum Tirta Baribis Kabupaten Bre­bes dalam mengoptimalkan penghematan pembayaran PPh Pasal 21. Mengetahui metode diantara net method, gross met­hod, dan gross up method yang paling efektif dalam meng­op­ti­malkan penghematan pembayaran PPh Pasal 21 di Perumda Air Minum Tirta Baribis Kabupaten Brebes. Metode penelitian ini menggunakan jenis penelitian deskriptif kuantitatif dengan me­nggunakan pendekatan Studi Kasus. Sedangkan teknik analisis data yang digunakan dalam penelitian ini adalah teknik analisis data kuantitatif deskriptif. Perencanaan pajak Perumda Air Minum Tirta Baribis Kabupaten Brebes dalam mengoptimalkan penghematan pembayaran PPh Pasal 21 yang selama ini digu­na­kan adalah menggunakan net method yaitu menanggung selu­ruh beban pajak karyawannya, dengan harapan para karyawan Perumda Air Minum Tirta Baribis Kabupaten Brebes lebih fokus dalam bekerja dan mencapai target dengan imbalan mendapatkan gaji bersih yang sesuai tanpa memikirkan beban pajak yang harus di bayar. Berdasarkan hasil penelitian dike­ta­hui bahwa jika perusahaan menerapkan net method maka besar­nya efisiensi pajak tahun 2022 adalah sebesar 0%. Jika peru­sahaan menerapkan gross method maka akan terjadi efisiensi pembayaran PPh badan sebesar 1,55%. Jika perusahaan mene­rapkan gross up method maka akan terjadi efisiensi pembayaran PPh badan sebesar 3,16%. Gross up method merupakan meto­de yang paling efektif digunakan untuk mengoptimalkan penghe­matan pembayaran PPh Pasal 21 di Perumda Air Minum Tirta Baribis Kabupaten Brebes karena terjadi efisiensi pembayaran PPh badan paling besar dibandingkan net method dan gross method yaitu sebesar 3,16%.
Sosialisasi Penggunaan Metil Eugenol untuk Mengendalikan Hama Lalat Buah pada Tanaman Pekarangan di Nagari Silago Kecamatan Sembilan Koto Kabupaten Dharmasraya
Authors: Heriza Sri , Karjunita Nike 
Published: August 2024

Kecamatan Sembilan Koto merupakan daerah dengan mayoritas penduduknya sebagai petani sawah dan tanaman hortikultura. Permasalahan di Nagari Silago dari tahun ke tahun terkait praktik budidaya tanaman hortikultura adalah adanya serangan hama dari kelompok serangga lalat buah yang menyebabkan rusaknya buah dan tanaman sayuran masyarakat sehingga turunnya pendapatan masyarakat dan bahkan gagal panen. Selain itu permasalahan yang ada di Nagari Silago adalah masih minimnya pengetahuan masyarakat dalam memanfaatkan bahan-bahan yang mudah didapatkan dalam pengendalian hama lalat buah tersebut. Masyarakat biasanya lebih sering menggunakan insektisida kimia dalam bentuk formulasi instan yang dibeli dengan harga yang cukup mahal. Tujuan kegiatan pengabdian ini adalah untuk memberikan pengetahuan kepada masyarakat dalam membuat perangkap lalat buah yang ramah lingkungan dengan memanfaatkan botol bekas dan diberi atraktan metil eugenol sebagai zat pemikat agar hama lalat buah masuk dalam perangkap. Adapun manfaat dari kegiatan ini diharapkan masyarakat di Nagari Silago dapat membuat perangkap lalat buah secara mandiri dan dapat membantu masyarakat dalam pengurangan pengeluaran biaya dalam pengendalian hama lalat buah tersebut.
Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang
Authors: Sutarman  , Siringoringo Rimbun , Arisandi Dedy , Kurniawan Edi , Nababan Erna Budhiarti 
Published: August 2024

Logistic Regression merupakan metode pengklasifikasi yang sangat populer dan digunakan secara luas pada berbagai penelitian. Logistic Regression dapat memberikan hasil yang baik pada masalah klasifikasi maupun prediksi. Fitur dataset yang besar mengakibatkan beban komputasi, dan menurunkan kinerja klasifikasi. Terdapat tiga dataset yang digunakan pada penelitian ini yaitu Bank marketing, Glass, dan Musk II. Dataset tersebut bersumber dari UCI Repository dan memiliki karakteristik yang berbeda. Ada dua tantangan penggunaan dataset tersebut, yaitu ketidakseimbangan kelas, dan jumlah fitur yang besar. Ada dua tahapan utama pada penelitian ini, yaitu pemrosesan awal dan klasifikasi. Tahapan pemrosesan awal menerapkan seleksi fitur melalui recursive feature elimination, dan penyeimbangan data menggunakan teknik SMOTE. Tahapan klasifikasi menerapkan Logistic Regression. Teknik ridge regression (L2-regularization) diterapkan untuk menghindari overfitting pada tahap validasi model LR. Evaluasi kinerja model didasarkan pada matrik konfusi dan grafik ROC. Hasil penelitian menunjukkan bahwa seleksi fitur dan peyeimbangan kelas memiliki dampak yang baik. Melalui ROC, model LR+RFE+SMOTE memiliki luas sebesar 93%. Hasil ini lebih baik dibanding dengan empat model klasifikasi lainnya, yaitu Naïve Bayes, Decision Tree, K-NN, dan Random Forest.

Abstract

Logistic regression is a widely popular classification method extensively used in various studies. Logistic regression can yield good results in classification and prediction problems. The extensive features of the dataset can lead to computational burdens and reduced classification performance. Three datasets were utilized in this research: Bank Marketing, Glass, and Musk II. The dataset is sourced from the UCI Repository and contains various characteristics. There are two challenges associated with using this dataset: class imbalance and a large number of features. There are two main stages in this research: initial processing and classification. At the initial processing stage, feature selection is conducted through recursive feature elimination, and data balancing is achieved using the SMOTE technique. The classification stage applies logistic regression. The ridge regression technique (L2-regularization) is applied to prevent overfitting during the validation stage of the linear regression model. The model performance evaluation is based on confusion matrices and ROC graphs. The research results show that feature selection and class balancing have a positive impact. Through the Receiver Operating Characteristics (ROC) analysis, the LR+RFE+SMOTE model achieved an area under the curve of 93%. These results are better than those of four other classification models, namely Naïve Bayes, Decision Tree, K-NN, and Random Forest.
Optimasi Klasifikasi Sentimen Komentar Pengguna Game Bergerak Menggunakan Svm, Grid Search Dan Kombinasi N-Gram
Authors: Iriananda Syahroni Wahyu , Budiawan Renaldi Widi , Rahman Aviv Yuniar , Istiadi Istiadi 
Published: August 2024

Game online telah menjadi fenomena budaya signifikan dalam industri yang berkembang pesat. Pengguna dan pengembang game menggunakan analisis sentimen untuk memahami opini dan ulasan pemain, yang membantu dalam pengembangan dan peningkatan game. Penelitian ini melakukan klasifikasi sentimen menggunakan algoritma Support Vector Machine (SVM) dengan penerapan teknik N-Gram untuk seleksi fitur. Grid Search (GS) digunakan untuk optimasi hyperparameter guna mencapai akurasi optimal. Eksperimen dilakukan dengan berbagai skenario, termasuk variasi jumlah data, pengaturan hyperparameter, rasio dataset pelatihan dan pengujian, serta konfigurasi N-Gram. Kinerja model dinilai menggunakan metrik seperti Akurasi, Presisi, Recall, dan Area di Bawah Kurva ROC (AUC). Hasil menunjukkan bahwa dengan dataset gabungan (Allgame) dan integrasi fitur seleksi N-Gram Unigram, Bigram, dan Trigram (UniBiTri), model ini mencapai akurasi 87,3%, presisi 88,5%, recall 85,5%, dan AUC 0,9081, menggunakan kernel Fungsi Basis Radial (RBF) dengan validasi silang k-fold (k=10).

Abstract

Online gaming has become a significant cultural phenomenon within a rapidly expanding industry. Game users and developers leverage sentiment analysis to understand player opinions and reviews, which subsequently guide game development and enhancements. In this study, sentiment classification was performed using the Support Vector Machine (SVM) algorithm, employing N-Gram techniques for feature selection. Grid Search (GS) was utilized for hyperparameter optimization to achieve the highest possible accuracy. To evaluate the impact of these methods, experiments were conducted across various scenarios, including different data quantities, hyperparameter settings, training and testing dataset ratios, and N-Gram configurations. The performance of the classification model was assessed using metrics such as Accuracy, Precision, Recall, and the Area Under the ROC Curve (AUC). The results of the study indicate that by using 3600 rows from a combined dataset (Allgame) and integrating Unigram, Bigram, and Trigram (UniBiTri) N-Gram selection features, along with k-fold cross-validation (k=10) and the Radial Basis Function (RBF) kernel, the model effectively classifies user reviews. Specifically, the model achieved an accuracy of 87.3%, precision of 88.5%, recall of 85.5%, and an AUC of 0.9081.
Simulasi Kerumunan NPC Pada Game “Pengenalan Uin Malang” Menggunakan Metode Flocking
Authors: Pratama Dicky Arya , Mitachul Arif Yunifa , Nugroho Fresy 
Published: August 2024

Penelitian ini mengimplementasikan metode flocking untuk mensimulasikan perilaku kerumunan pada NPC dalam game "Pengenalan UIN Malang" untuk menciptakan perilaku berkerumun yang realistis. Meskipun kerumunan NPC tanpa metode memiliki waktu tempuh lebih cepat, kerumunan NPC dengan metode flocking memberikan perilaku berkerumun yang interaktif dengan tingkat usability yang baik. Hasil evaluasi menggunakan System Usability Testing menunjukkan skor usability yang memadai. Implementasi ini berhasil menciptakan pengalaman berinteraksi yang lebih baik, meskipun waktu tempuhnya tidak secepat NPC tanpa metode.

Abstract

This research implements the flocking method to simulate crowd behavior on NPCs in the game "Introduction to UIN Malang" to create realistic crowding behavior. Although NPC crowding without a method has a faster travel time, NPC crowding with the flocking method provides interactive swarming behavior with a good level of usability. Evaluation results using System Usability Testing show adequate usability scores. This implementation succeeded in creating a better interaction experience, although the travel time was not as fast as NPCs without the method.
Implementasi HPack dan Gzip pada Optimasi Aplikasi Dengan Arsitektur Microservice
Authors: Tjut Adek Rizal , Mulaesyi Syibbran , Yunizar Zara , M. Fauzan  
Published: August 2024

Penelitian ini mengkaji penerapan arsitektur microservice dalam pengembangan aplikasi web, dengan fokus pada optimasi komunikasi antar layanan melalui kompresi data. Dengan latar belakang permasalahan bottleneck dalam transfer data antar layanan, tujuan utama penelitian ini adalah mengatasi tantangan tersebut dengan memanfaatkan teknologi kompresi HPack dan Gzip, terutama dalam konteks penggunaan format data JSON yang umum dalam komunikasi antar layanan. Penelitian dilakukan melalui tahapan analisis kebutuhan, desain sistem, implementasi, deployment dan pengujian. Data uji yang merupakan respons dari microservice yang berupa 34 item JSON Array yang dikompresi menggunakan Hpack, Gzip dan gabungan keduanya. Proses pengukuran waktu dan ukuran respons untuk setiap jenis kompresi dilakukan menggunakan Chrome DevTools, dengan analisis data yang dilakukan menggunakan alat bantu pandas. Hasil pengujian menunjukkan penurunan sebanyak ~79,4% dari 12991 bytes dalam ukuran respons dan penurunan waktu respons sebanyak ~8,7% dari 641,401 ms. Hal ini menegaskan efektivitas HPack dan Gzip dalam meningkatkan performa aplikasi microservice. Penelitian ini memberikan wawasan dalam optimasi aplikasi microservice dan rekomendasi praktik terbaik dalam pemilihan metode kompresi data.

Abstract
This study examines the implementation of microservice architecture in web application development, with a focus on optimizing communication between services through data compression. Given the background issue of bottleneck in data transfer between services, the primary objective of this research is to address this challenge by leveraging HPack and Gzip compression technologies, especially in the context of using the common JSON data format for inter-service communication. The research was conducted through stages of requirements analysis, system design, implementation, deployment, and testing. Test data consists of responses from microservices in the form of a 34-item JSON Array compressed using HPack, Gzip, and a combination of both. The process of measuring response time and size for each compression type was carried out using Chrome DevTools, with data analysis performed using pandas tools. The test results show a reduction of approximately 79.4% from 12991 bytes in response size and a decrease in response time by about 8.7% from 641.401 ms. This confirms the effectiveness of HPack and Gzip in enhancing microservice application performance. The study provides insights into microservice application optimization and recommendations for best practices in selecting data compression methods.
Translation and Linguistic Validation of the Multidimensional Dyspnea Profile into Hindi in a Palliative Care Setting
Authors: Kökeritz Maria , Dufberg Lovisa , Palat Gayatri , Ekström Magnus , Brun Eva , Segerlantz Mikael 
Published: August 2024

Objectives:
The Multidimensional Dyspnea Profile (MDP) comprehensively addresses dyspnea, incorporating both perceptual and affective components, and has proven effective in assessing breathlessness among patients with chronic lung conditions. Despite its validation in High-Income Countries, its applicability in Low/Middle-Income countries remains uncertain. Additionally, the MDP has not been translated into Hindi or validated in an Indian context. Our aim was to translate the MDP into Hindi and linguistically validate it for use in an Indian palliative care setting, with a high rate of illiteracy.

Materials and Methods:
The comprehensibility and acceptability of the translated MDP in Hindi were assessed through in-depth interviews with seven Hindi-speaking patients with cancer. The study focused on tailoring the MDP in a socioeconomically disadvantaged population characterized by a high rate of illiteracy. The translation process involved forward and backward translations by independent certified translators, with input from in-country Indian palliative medicine physicians and healthcare personnel.

Results:
The Hindi version of the MDP was adapted for use in an Indian context and in a population with a high rate of illiteracy, aligning with international guidelines for Patient-Reported Outcomes demonstrating relevance in a specific cultural and healthcare context. The MDP increased healthcare staff ’s understanding of underlying causes of dyspnea in a socioeconomically disadvantaged population enrolled into palliative care and with a high rate of illiteracy.

Conclusion:
The study underscores the importance of linguistic validation and cultural adaptation in ensuring the applicability of Patient-Reported Outcomes measures in diverse healthcare settings. Because the MDP can be perceived as time-consuming, selected parts of the instrument may be used as needed.
Management of concurrent symptomatic tuberculum sellae meningioma and idiopathic intracranial hypertension: A case report
Authors: Espinosa Jonathan , Tavakoli Samon , Chen Philip , Mascitelli Justin , Gragnaniello Cristian 
Published: August 2024

Background:
Coexisting intracranial pathologies of distinct etiology which require intervention are rare. Only a handful of cases have been reported in the literature. The effects of each treatment option on both pathologies need to be considered during management. We describe the first report of the management of a patient with concurrent symptomatic tuberculum sellae meningioma (TSM) and idiopathic intracranial hypertension (IIH).

Case Description:
A 58-year-old male presented with 2 weeks of vision loss and 3 months of headaches. He was found to have an inferior hemi-field deficit in the left eye and bilateral papilledema. Imaging studies revealed bilateral transverse sinus stenosis and a TSM abutting the left optic nerve. The opening pressure was 40 cmH2O. An expanded-endoscopic endonasal approach was performed for mass resection. Intraoperatively, a lumbar drain was placed to aid skull base repair integrity before definitive treatment was obtained. On postoperative day 9, a right transverse-sigmoid sinus stent was placed for IIH treatment. The patient was discharged the following day.

Conclusion:
Our management of this patient targeted the etiologies of each symptomatic pathology. Stenting provided treatment for the IIH and mass resection for the vision loss. Both the order and approaches to treatment were felt to maximize patient benefit while minimizing harm.
Minimally invasive tubular approach to intramedullary cavernous malformations
Authors: Kantorowski Maia Sophia , Walker James Benning 
Published: August 2024

Background:
Advancements in minimally invasive spinal surgery have led to an expansion of targeted pathologies as well as improvements in surgical outcomes compared to their conventional counterparts through open laminectomy; however, this technique is rarely mentioned in the literature for intrinsic cord lesions. The authors present a novel minimally invasive, dorsolateral, and expandable tubular approach for the resection of an intradural, intramedullary thoracic cavernous malformation (CM).

Case Descriptions:
A 52-year-old male patient presented with rapidly progressive myelopathy and loss of ambulatory capabilities, with which magnetic resonance imaging revealed a hemorrhagic CM within the thoracic spinal cord. The CM was successfully resected through a minimally invasive tubular approach utilizing a dorsal root entry zone myelotomy. Postoperative imaging confirmed gross resection. His motor examination rapidly recovered, and he remains ambulatory with the use of a cane at a 2-year follow-up.

Conclusion:
This novel minimally invasive approach is a promising technique for well-selected cases of symptomatic spinal CMs. Further exploration and potentially randomized studies are necessary to fully affirm the tubular approach’s suitability for the treatment of intradural intramedullary CMs compared to conventional techniques.