bluuebunny/crossref_metadata_2025 huggingface dataset:
COMPARISON OF DATA MINING ALGORITHM FOR CLUSTERING PATIENT DATA HUMAN INFECTIOUS DISEASES
Authors: Nurfadilla Nadia , Afdal M. , Permana Inggih , Zarnelly Zarnelly
Published: January 2024

Tuberculosis is known as an infectious disease whose transmission through air intermediaries is caused by the germ Mycobacterium Tuberculosis. This disease has become a case that has almost spread throughout the pelalawan Regency with the number continuing to increase every year so that it is possible to be able to group the areas where this disease spreads. Grouping of tuberculosis data distribution areas using data mining methods in the form of clustering with the data used coming from the Pelalawan Regency Health Office from 2020 to 2022. The data obtained earlier will then be processed using k-medoids, k-means, and x-means algorithms. The beginning of this research was by processing data from each year using these three algorithms. Determination of the most optimal algorithm using DBI or known as the Davies Bouldin Index. The results of the processing of existing indicators are grouped into three sections, namely areas with a high, medium, and low number of cases. From the results of the study, the optimal algorithm in 2020 data is the k-medoids algorithms with a DBI value of 0,553 and in 2021 data, the most optimal algorithm is the k-means and x-means algorithm with similar DBI values of 0,582. Furthermore, the data in 2022 the most optimal algorithms are the k-means and x-means algorithms because they have the same DBI value, which is 0,510.
PERFORMANCE OF TEXT SIMILARITY ALGORITHMS FOR ESSAY ANSWER SCORING IN ONLINE EXAMINATIONS
Authors: Susanto Muhammad Riza Radyaka , Husni Thamrin  , Naufal Azmi Verdikha
Published: January 2024

The purpose of assessment is to determine learning success. Exams with question descriptions have several advantages, including ease of preparation and the ability to reveal student comprehension and originality. The problem with space is that it takes time to fix. Therefore, it is important to develop algorithms and software that automatically evaluate space. With the help of this algorithm and this software, you can solve some exam and assessment problems.  This study aims to investigate similarity algorithms that approximate human patterns in evaluating ambiguous answers. This study examines his five similarity algorithms, including TF-IDF and LSA. The data was a collection of correct answers with a total of 371 texts. The similarity algorithm's performance was compared with human correction results. Evaluation was performed using Root Mean Square Error (RMSE). This study shows that his TF-IDF algorithm like Jaccard has the lowest his RMSE compared to human judgement. However, the LSA algorithm tended better to follow human rating patterns for descriptive tests..
THE EFFECT OF UNIGRAM AND BIGRAM IN THE NAÏVE BAYES MULTINOMIAL FOR ANALYZING OF COMMENT SENTIMENT OF GOJEK APPLICATION IN GOOGLE PLAY STORE
Authors: Adyatma Adrian Dwinanda , Afuan Lasmedi , Maryanto Eddy
Published: January 2024

In sentiment classification systems that use Naïve Bayes Classifier, a commonly used feature extraction method is TF-IDF with unigram and bigram, where the two is used separately. In the reality, most of texts contain single or composed word,so it is needed to use the combination of unigram and bigram  to maximize the accuracy of the classification results.  In this research, the impact and performance improvement between classification systems using unigram or bigram solely and those using a combination of both are studied. Using 1000 data of reviews with ratings 1 (negative) and 5 (positive) from Gojek users on the Google Play Store, and performing performance validation with K-Fold at K=10, the system that uses the combined TF-IDF feature extraction of unigrams and bigrams achieves the best performance among the three systems with an accuracy of 0.84, however the accuracy of  the system that uses unigrams solely has accuracy of  0.83, and 0.7 for the system that uses bigram. From the results of the research, it can be concluded that the use of the combination of unigram and bigram can increase the accuracy of the classification result.
RICE DISEASE RECOGNITION USING TRANSFER LEARNING XCEPTION CONVOLUTIONAL NEURAL NETWORK
Authors: Muslikh Ahmad Rofiqul , Setiadi De Rosal Ignatius Moses , Ojugo Arnold Adimabua
Published: January 2024

As one of the major rice producers, Indonesia faces significant challenges related to plant diseases such as blast, brown spot, tugro, leaf smut, and blight. These diseases threaten food security and result in economic losses, underscoring the importance of early detection and management of rice diseases. Convolutional Neural Network (CNN) has proven effective in detecting diseases in rice plants. Specifically, transfer learning with CNN, particularly the Xception model, has the advantage of efficiently extracting automatic features and performing well even with limited datasets. This study aims to develop the Xception model for rice disease recognition based on leaf images. Through the fine-tuning process, the Xception model achieved accuracies, precisions, recalls, and F1-scores of 0.89, 0.90, 0.89, and 0.89, respectively, on a dataset with a total of 320 images. Additionally, the Xception model outperformed VGG16, MobileNetV2, and EfficientNetV2.
COMPARISON OF ALGORITHM BETWEEN CLASSIFICATION & REGRESSION TREES AND SUPPORT VECTOR MACHINE IN DETERMINING STUDENT ACCEPTANCE IN STATE UNIVERSITIES
Authors: M. Anwar Sadat  , Pujiono Pujiono , Pambudi Anggun , Ibad Sholihul
Published: January 2024

Higher education entrance selection activities are intended to obtain superior student candidates. The opportunity to take part in the selection is given to all high school graduate students and equivalent. The student entrance test at PTN consists of three types of selection routes, namely the SNMPTN or invitation route, the SBMPTN, and the independent examination held by state universities. Starting from the dataset, data selection was carried out from 143 students' data and 7 attribute selections were carried out using preprocessing using data transformation first. The aim of using data transformation is to simplify the data training process for MAN 1 students in Cirebon. Preprocessing for prediction of classification results, accuracy of testing data for 143 students is implemented in the program and the resulting calculation process will be more efficient. After going through the preprocessing stage, the data is divided into training data and testing data using 10-fold cross validation. Next, for the classification process, a comparison of two methods will be used, namely for the first method using CART, the second method using SVM by adding Gain ratio weighting. The results of the research show that in the first experiment the researcher carried out a comparative trial of cross validation and classification performance and used the CART and SVM algorithms. The results comparison using the CART algorithm gets an accuracy of 86.10% and the SVM algorithm method for classifying students entering PTN was 86.71%.
TRANSFER LEARNING IMPLEMENTATION ON IMAGE RECOGNITION OF INDONESIAN TRADITIONAL HOUSES
Authors: Firmansah R Arif , Santoso Handri , Anwar Agus
Published: January 2024

Indonesia is the largest archipelago in the world that has cultural diversity, one of Indonesia's cultural wealth is the architectural uniqueness of the types of traditional houses that come from different tribes and regions. in this era of digitalization, the younger generation of this nation must continue to preserve cultural wealth, one of which is by building a system that can document and provide learning about image recognition of the archipelago's traditional houses. Thanks to Artificial Intelligence Technology, it is possible to create a smart model that functions as an image recognition with system learning by working with a neural network called deep learning, which is supported by a transfer learning algorithm that can utilize previous models that have been trained, one of which is the MobileNetV2, Resnet50, VGG16 and Xception models as an effort to get a model with high accuracy with limited dataset conditions. So, the purpose as well as the update of this research is to build an image recognition model of Indonesian traditional houses with the transfer learning method. The methods and stages used are CRISP-DM (Cross Industry Standard Process for Data Mining), a standard used to build applications that aim to gain insight from a dataset, the image dataset used in this study was created with the image scraper technique from the internet.  The conclusion of this research is that an image recognition model of Indonesian traditional houses is produced by training experiments from 5 transfer learning models that have been determined and the greatest accuracy is obtained, namely 0.96% of the MobileNetV2 transfer training method, the potential for further development for future research is to add more classes and amount of data and design a more detailed and detailed deployment model.
Perancangan Sistem Informasi pelayana Masyarakat Pada Kelurahan Guntur Jakarta Selatan Berbasis Website
Authors: Yansyah Ilham Roni
Published: January 2024

Dalam proses perkembangan Sistem Informasi, setiap kelurahan diharapkan untuk dapat meningkatkan layanan kepada masyarakat dengan mengimplementasikan teknologi berbasis digital. Sehingga pelayanan dilakukan di Kelurahan tersebut secara online sehingga memudahkan masyarakat untuk mengakses pelayanan tanpa harus datang ke kantor kelurahan sebagai langkah untuk menerapkan protokol kesehatan dimasa pandemi. Sistem informasi berbasis website merupakan solusi yang yang efektif dan efisien ditujukan agar masyarakat mendapatkan informasi secara luas tanpa harus mengunjungi kantor kelurahan. Oleh karena itu, diperlukan sebuah sistem informasi berbasis website yang dapat menyediakan informasi pelayanan kepada masyarakat yang bisa diakses dengan mudah melalui smartphone dan personal komputer masing- masing. Diharapkan dengan dirancangnya sistem ini berdampak baik untuk meningkatkan pelayanan terhadap masyarakat dengan memanfaatkan media teknologi digital berbasis website.
Analisis Keamanan dan Kenyamanan pada Cloud Computing
Authors: Satrinia Dwina , Yutia Syifa Nurgaida , Matin Iik Muhamad Malik
Published: January 2024

Cloud computing atau ‘komputasi awan’ menyajikan berbagai kemudahan untuk organisasi maupun individu dalam mengakses data dimanapun dan kapanpun. Cloud computing memiliki kelebihan seperti memberikan berbagai pilihan model layanan, jenis penyimpanan data, serta kustomisasi komputasi sehingga memberikan  manfaat yang menarik yaitu efisiensi, efektif dan hemat biaya, tetapi hal tersebut tidak membuat cloud computing aman dari ancaman serangan keamanan. Konsep keamanan dibutuhkan untuk membantu manajemen pada organisasi maupun individu dalam melindungi dan melakukan pengamanan data pada layanan cloud. Selain itu, model kenyamanan juga diperlukan untuk membantu pengguna dalam menggunakan layanan cloud.
STUDI TEKNO-EKONOMI IMPLEMENTASI SPECTRUM SHARING PADA MOBILE NETWORK OPERATOR DI KOTA BANDUNG
Authors: Hafiza Lia , Hamdala Marcia Rizky
Published: January 2024

Spektrum frekuensi adalah sumber daya terbatas pada sektor telekomunikasi, oleh sebab itu penggunaan dan pengelolaannya diatur oleh Negara. Selain itu, Negara harus menjamin setiap warga negara memperoleh informasi dan dapat berkomunikasi sesuai dengan yang diatur oleh konstitusi. Dalam beberapa tahun kedepan, pendapatan sektor telekomunikasi diprediksikan akan menurun. Terdapat dua solusi dari permasalahan tersebut, pertama dengan penghematan, kedua adalah masuk ke dalam lini bisnis baru. Pada penelitian ini, kami akan membahas terkait salah satu dari solusi tersebut, yaitu menggunakan penghematan dengan cara spectrum sharing.

Untuk melakukan penghematan, lebih dari 60% Mobile Network Operator (MNO) di dunia menggunakan Radio Access Network Sharing (RAN Sharing). RAN Sharing memiliki beberapa jenis teknologi, namun pada penelitian ini akan menggunakan Multi-Operator Core Network (MOCN). Keunggulan dari MOCN diantaranya adalah dapat digunakan untuk berbagi spektrum frekuensi yang menjadi solusi kelangkaan spektrum, menghemat biaya, dan mempercepat penggelaran jaringan ke daerah-daerah, serta dapat berdampak pada PDB di Indonesia.

Terdapat beberapa aspek yang melingkupi penelitian yang kami lakukan, yaitu aspek teknis dan ekonomi. Pada aspek teknis, kami membatasi penelitian pada daerah perkotaan. Daerah perkotaan yang akan menjadi objek penelitian kami adalah Kota Bandung dengan menggunakan perhitungan capacity planning. Dalam aspek ekonomi, nilai perhitungan Net Present Value (NPV) dari skenario sharing dan non-sharing dipetakan dengan pendekatan game theory untuk menganalisis hasil perhitungan NPV.

Hasil dari penelitian ini membuktikan bahwa, Multi-Operator Core Network (MOCN) kurang efektif apabila diimplementasikan pada daerah perkotaan, terkhususkan Kota Bandung. Hal ini diakibatkan, setelah menggunakan perhitungan capacity planning dan analisis game theory,  cenderung tidak mendapatkan keuntungan jika spectrum sharing dilakukan antara Market Leader dengan para pesaing atau kompetitor.

Keywords: Network sharing, Multi Operator Core Network, Spektrum Frekuensi, Industri Telekomunikasi
Analisis BER dengan Modulasi QPSK dan 16-QAM pada Sistem Komunikasi Vehicle-to-Vehicle
Authors: Novfitri Aisyah
Published: January 2024

VANET (Vehichular Ad-hoc Network) merupakan system komunikasi antar kendaraan menggunakan waveform OFDM sesuai standart IEEE.802.11p. komunikasi V2V termasuk bagian dari teknologi VANET diamana ada beberapa faktor yang mempengaruhi performansinya. Salah satu gangguan pada sekitar lingkungan vehicle dan frekuensi doppler karena perubahan kecepatan, sehingga dapat menurunkan performansi nilai BER. penelitian ini telah dilakukan analisis kinerja dari modulasi adaptif pada kanal V2V dengan adanya gangguan frekuensi doppler. Sehingga dapat mempengaruhi performansi Nilai BER pada Modulasi yang digunakan. Pada penelitian ini menganalisis kapasitas performansi nilai BER pada modulasi QPSK dan 16-QAM dengan batas tidak lebih dari 10-3 pada saat kondisi frekuensi doppler tertentu. Dari simulasi yang telah dilakukan, maka didapatkan nilai kecepatan kendaraan maksimum untuk mencapai nilai BER tidak lebih dari 10-3 sebesar 50mph, dimana untuk modulasi QPSK masih memenuhi nilai BER lebih kecil dari 10-3 sedangkan pada Modulasi QAM nilai BER mencapai sebesar 0.006134.
Spatio-Temporal Analysis Polutan Karbon Monoksida (CO) Jakarta Selama Pandemi Menggunakan Sentinel-5P TROPOMI
Authors: Suryoprayogo Hertanto
Published: January 2024

Memahami kualitas udara secara jangka panjang merupakan salah satu tantangan besar. Saat ini DKI Jakarta termasuk kota dengan dengan tingkat mobilisasi dan polusi yang paling tinggi. Namun tingkat polusi menurun sejak Covid-19 menyebar di Indonesia. Karbon dioksida (CO) sebagai salah satu polutan yang banyak dihasilkan dari sisa pembakaran kendaraan bermotor diteliti untuk melihat pengaruh adanya pembatasan kegiatan masyarakat selama pandemi dengan tingginya konsentrasi CO. Data citra satelit Sentinel-5P Tropomi diolah menggunakan Google Earth Engine untuk memonitoring kadar ambien CO. Spatio-temporal analysis dilakukan sebagai pendekatan dalam menganalisis data time series.  Pola spatio temporal menunjukkan nilai konsentrasi vertical CO yang menurun jika dibandingkan sebelum terjadinya pandemi hingga 30%, dengan nilai koefisien regresi y = -0,2415x + 35,961 dan R² = 0,1456.
BER Performance Analysis Over AWGN Channeling For GFSK Modulation To Transmitting Unstructured Data
Authors: Cahyadi Nanang
Published: January 2024

The first step to enable the optimize the use of information exchange radio-based could be started by providing research on supporting devices. Research on supporting devices and their application, especially in providing service to exchange text-based information is crucial and opens up chances to solve the rest challenges such as signal power, data transfer speed, and security. This research aims to evaluate signal behavior from design information text-based exchange using radio transmission. To achieve the goal, this research adopts a quantitative methodology by comparing theoretical results and simulation results of the design. tuning samples per symbol could give better BER with lower EbNo. The data also demonstrated great results that show using 2 samples per symbol could deliver the best performance that has lower BER and lowest EbNo compared to the rest of the data, including the estimated BER using coherent FSK. It affects the GFSK signal not only very smoothly compared to the FSK signal, but also being able to achieve a minimum BER with the IEEE standard without requiring excessive energy by simply setting samples per symbol at 2. This can be seen from the results of BER 10-3 with energy EbNo was 6.5 dB.
Optimasi SEO (Search Engine Optimization) sebagai Strategi Peningkatan Online Presence bagi Usaha Mikro, Kecil, dan Menengah (UMKM)
Authors: Hadiana Asep Id , Putra Eddie krishna
Published: January 2024

Penelitian ini bertujuan untuk menganalisis strategi optimasi SEO sebagai upaya peningkatan online presence bagi Usaha Mikro, Kecil, dan Menengah (UMKM). Metodologi penelitian menggunakan pendekatan kuantitatif dengan pengumpulan data melalui survei dan analisis menggunakan metode regresi linier. Sampel penelitian terdiri dari 50 UMKM yang beroperasi secara online di sektor yang berbeda. Hasil penelitian menunjukkan bahwa penggunaan kata kunci yang relevan, kualitas konten, backlink, struktur situs web, dan responsif terhadap perangkat mobile memiliki pengaruh signifikan terhadap kinerja bisnis UMKM dan online presence mereka. Strategi SEO yang efektif dapat meningkatkan peringkat mesin pencari, kunjungan organik, tingkat konversi, waktu tinggal pengunjung, dan mengurangi bounce rate. Namun, tantangan seperti keterbatasan sumber daya, kurangnya pemahaman tentang SEO, dan persaingan yang intens di lingkungan digital menjadi hambatan dalam implementasi strategi ini. Penelitian ini memberikan kontribusi pada pemahaman tentang pentingnya optimasi SEO dalam meningkatkan online presence UMKM dan memberikan wawasan tentang faktor-faktor yang mempengaruhi keberhasilan implementasi strategi SEO. Implikasi praktisnya adalah UMKM perlu meningkatkan pemahaman tentang SEO, mengembangkan kemampuan dalam menerapkan strategi SEO yang efektif, dan memperhatikan tantangan yang mungkin dihadapi dalam lingkungan bisnis online.
Clustering Data Cuaca Ekstrim Indonesia dengan K-Means dan Entropi
Authors: Chusyairi Ahmad
Published: January 2024

As information technology develops in agriculture, more patterns of database systems are manual or computerized. However, the amount of data available does not always match the knowledge that can be generated. The community really needs weather information regardless of the format if it is reliable and valid. One is to determine local climate patterns. The data collection method uses a document study method, then uses data analysis techniques with a scoring system on rainfall data, maximum temperature, minimum temperature, average temperature, humidity, and wind speed. The K-Means Clustering method is a technique for grouping data. From the analysis carried out, there are 3 classes to cluster the weather levels produced by the entropy test to avoid bias towards non-optimal precision and accuracy. The division of the number of clusters can be captured as a type of potential vulnerability, namely high, medium, and mild where the total of all weather data from all BMKG stations throughout Indonesia is 123 data, 52 of which are classified as areas that have the potential to experience extreme high weather, 31 are classified as areas that experience extreme weather, moderate extreme weather potential, and 40 areas classified as areas with mild extreme weather potential.
SIMULASI SISTEM MONITORING OKSIGEN TERLARUT (DO) PADA BUDIDAYA UDANG VANAME BERBASIS INTERNET OF THINGS (IoT)
Authors: Yanti Hesmi Aria , Putri Diana Ananda , Fajriyah Siti Zahrotul
Published: January 2024

Indonesia has a prospective fishery sector, with an elongated coastline making it potential in the vannamei shrimp farming sector using an Internet of Things (IoT)-based system. Vannamei shrimp (Litopenaeus vannamei) is cultivated with an intensive application of high-density systems with a stocking density of 150 m2, so vannamei shrimp cultivation, namely water quality management to balance the bioenergy metabolism of shrimp, requires water quality such as dissolved oxygen (DO) to increase yields and production. To increase production yields, a system is needed that can monitor dissolved oxygen (DO) levels, an important factor for shrimp growth. The minimum DO level for shrimp growth is 3.0 mg/L, and DO that has the potential to cause mortality is <2.0 mg/L, while the optimal DO value for vannamei shrimp cultivation is >3 mg/L with a tolerance of 2 mg/L. The simulation results of an IoT-based system state that if the green light is on as a sign that the oxygen in the pond has been fulfilled, the results of dissolved oxygen readings are good or normal as seen from the display on the LCD, and the simulation value of the temperature system analysis is seen using ThingsBoard, so that the simulation system can be implemented in real terms.
Studies on the Use of Spectrum Sharing for Mobile Network Operator in Indonesia
Authors: Hafiza Lia , Wahyuningrum Reni Dyah , Yudiansyah Yudiansyah
Published: January 2024

Since telecom businesses have already reached their peak level of revenue, their future is expected to get worse. To save as much money as possible, greater than sixty percent of mobile network operators (MNO) in the worldwide implemented Radio Access Network-Sharing or RAN-Sharing. Earnings before interest, taxes, depreciation, and amortization (EBITDA) pressure and the limited availability of the frequency spectrum are two factors that propel. Spectrum sharing can be one solution to reduce Capital Expenditure and Operational Expenditure operator costs, address spectrum shortages and promote development across the region in Indonesia. With different coverage of underserved areas, the number of assets in the form of BTS and license of frequency spectrum usage are owned by each operator. Research on business impacts for operators needs to be assessed to be able to determine business strategy.
The Impact of Working Environment, Salary, and Job Security on Job Satisfaction among Workers in Sarawak’s Government Linked Company: The Case of Sarawak Digital Economy Corporation
Authors: Shahidi Hamedani Sharareh , Abdulaziz Bawazir Abdullah , Bin Annuar Amirul
Published: January 2024

In contemporary society, work occupies a significant portion of people's lives due to the financial and economic imperatives of modern living. However, research has demonstrated that job satisfaction cannot be achieved solely through financial incentives. Therefore, it is crucial to comprehend the diverse factors that motivate individuals to work and to contribute to overall job satisfaction. This study aims to examine the relationship between working environment, salary, and job security in relation to job satisfaction, aiming to provide deeper insight into the critical factors that influence employees’ satisfaction and consequently impact their overall performance. In the scope of this research, the population to be investigated encompasses the staff of Sarawak Digital Economy Corporation, positioned as a government-linked enterprises in Sarawak region. The sample size comprises 107 participants among employees of Sarawak GLC (Government-Linked Companies). The research instrument utilized for data collection was a questionnaire and the results were analyzed using the Statistical Package for Social Sciences (SPSS). The study reveals a substantial influence of three pivotal factors- namely, the working environment, salary, and job security significantly- on job satisfaction. These findings hold significant implications, potentially serving as a valuable reference for understanding and insight into job satisfaction within the broader context of Sarawak ‘s business ecosystem. Such insights are valuable for academic research and business studies across the region.
Acetabular cup size trends in total hip arthroplasty
Authors: McKenna Daniel Patrick , Price Alex , McAleese Timothy , Dahly Darren , McKenna Paul , Cleary May
Published: January 2024

BACKGROUND

Total hip arthroplasty (THA) is a common procedure for end stage osteoarthritis. The learning curve for THA is complex and challenging. One of the most difficult skills to master is acetabular reaming. We wish to identify if experience in arthroplasty leads to preservation of more bone stock.

AIM

To investigate if increasing surgeon experience will predict an ever decreasing acetabular cup size.

METHODS

A retrospective case series of four attending orthopaedic surgeons was completed. All uncemented elective total hip arthroplasties since appointment were selected for inclusion. The size of acetabular cup used was noted and logistic regression was used to identify if a trend to smaller cups existed.

RESULTS

A total of 1614 subjects were included with a mean age of 64 years. Overall cups were on average 0.18mm smaller per year (95% confidence interval -0.25 to -0.11, P < 0.001). Individual surgeon trends showed cup sizes to decrease 0.27 mm/year for surgeon A, 0.02 mm/year for surgeon B, 0.15 mm/year for surgeon C and 0.29 mm/year for surgeon D. Three of the four surgeons had a more pronounced trend to smaller cups for male subjects than their female counterparts.

CONCLUSION

We found increasing surgeon experience to be associated with an ever-decreasing acetabular cup size. Smaller acetabular cup size may act as a surrogate marker of surgical proficiency by virtue of decreased acetabular reaming.
Epidemiologic investigation of pediatric distal humerus fractures: An American insurance claims database study
Authors: Klahs Kyle Jay , Dertinger Jake E , Mello Grant T , Thapa Kevin , Sandler Alexis B , Garcia E'Stephan J Jesus , Parnes Nata
Published: January 2024

BACKGROUND

Distal humerus elbow fractures are one of the most common traumatic fractures seen in pediatric patients and present as three main types: Supracondylar (SC), lateral condyle (LC), and medial epicondyle (ME) fractures.

AIM

To evaluate the epidemiology of pediatric distal humerus fractures (SC, LC, and ME) from an American insurance claims database.

METHODS

A retrospective review was performed on patients 17 years and younger with the ICD 9 and 10 codes for SC, LC and ME fractures based on the IBM Truven MarketScan® Commercial and IBM Truven MarketScan Medicare Supplemental databases. Patients from 2015 to 2020 were queried for treatments, patient age, sex, length of hospitalization, and comorbidities.

RESULTS

A total of 1133 SC, 154 LC, and 124 ME fractures were identified. SC fractures had the highest percentage of operation at 83%, followed by LC (78%) and ME fractures (41%). Male patients were, on average, older than female patients for both SC and ME fractures.

CONCLUSION

In the insurance claims databases used, SC fractures were the most reported, followed by LC fractures, and finally ME fractures. Age was identified to be a factor for how a pediatric distal humerus fractures, with patients with SC and LC fractures being younger than those with ME fractures. The peak age per injury per sex was similar to reported historic central tendencies, despite reported trends for younger physiologic development.
Surgical treatment of an old avulsion fracture of the ischial tuberosity and ischial ramus: A case report
Authors: Chen Zi-Ru , Liao Shi-Jie , Yang Fu-Chun
Published: January 2024

BACKGROUND

Avulsion fracture of the ischial tuberosity is a relatively clinically rare type of trauma that is mainly incurred by adolescents during competitive sports activities. According to previous literature, the most commonly involved sports are soccer, sprinting, and gymnastics, in descending order. Dance-induced avulsion fracture of the ischial tuberosity and ischial ramus is extremely clinically rare.

CASE SUMMARY

A case of a neglected avulsion fracture of the ischial tuberosity and ischial ramus was diagnosed in a young female dancer who complained of pain and restricted movement of her right hip. She stated that she had suffered the injury while performing a split leap during a dance performance 9 mo prior. Eventually, she underwent surgery and obtained satisfactory treatment results.

CONCLUSION

Early diagnosis of these fractures is important to ensuring early proper treatment towards a quicker recovery. For old fractures with nonunion and chronic buttock pain, surgery is a preferred therapeutic choice with good treatment outcomes.
In-person access to banking services in Spain: 2023 Monitoring Report.
Authors: Banco de España Banco de España
Published: January 2024

This paper presents an analysis of recent developments in the accessibility of banking services in Spain, from the perspective of both supply (the in-person access points available) and demand (customer use and assessment).

According to the results obtained, the following main conclusions can be drawn:

i) The reduction in the number of bank branches between 2021 and 2022 was offset by the establishment of mobile branches in smaller municipalities and financial agents in larger municipalities.

ii) Between 2021 and 2022, the number of municipalities without any in-person points of access to banking services was reduced by 167 (2.1% of municipalities and 0.13% of the population).

iii) The percentage of municipalities without any in-person point of access to banking services decreased to a greater extent than in the case of other services, both those provided privately (shops and bars) and those with a certain component of public provision (health care and pharmacies).
SUBSTANTIVE ASPECTS OF ELECTRONICS INDUSTRY WASTE MANAGEMENT SYSTEM’S EFFICIENCY ASSESSMENT
Authors: КОРШУНОВА Л.Н.
Published: January 2024

При проведении оценки эффективности любой системы управления необходимо сопоставление затрат и результативности управленческих действий по достижению поставленных целей. В статье рассматриваются критерии эффективности управленческих действий при управлении отходами электронной промышленности с точки зрения Иерархии управления отходами, закрепленной в Директиве № 75/442 [1]. Сформулированы критерии эффективности управления отходами для различных способов обращения с отходами, приведенных в Иерархии, с позиций экономического и экологического аспектов. Были применены методы анализа, синтеза, дедукции, индукции, сравнения, а также статистический метод. Систему управления электронными отходами предлагается рассматривать как систему, сформированную для достижения целей управления через управляющее воздействие субъекта управления на объект управления. В качестве объекта управления предлагается рассматривать все процессы обращения с отходами. Субъектами управления могут выступать как уполномоченные государственные органы, так и другие стейкхолдеры. Приоритетной целью управления рассматриваемыми процессами ставится минимизация негативного воздействия отходов на окружающую среду и минимизация их образования у источника. В качестве доходной статьи рассмотрено получение дохода от реализации вторсырья и возможного повторного использования отходов.

It is necessary to compare the costs and the effectiveness of management actions to evaluate the effectiveness of any management system. The criteria of management actions effectiveness and the electronics industry waste disposal have been considered. Ii is written in Waste Management Hierarchy, enshrined in Directive No. 75/442. The evaluation criteria of different waste management strategies (based on the Hierarchy) and economic and environmental aspects have been presented. Analysis, synthesis, deduction, induction, comparison and statistical methods have been used in the study. The system of electronic waste management is the structure formed to control administrative institution on the waste processes. The management subjects can be government bodies and other stockholders. The main management goal is to reduce waste and minimize waste impact on the environment. Recyclable materials sale and reuse of waste can be considered as potential sources and the receipt of income.
DIRECT FINANCIAL SUPPORT FOR SMALL BUSINESSES IN THE SOUTHERN FEDERAL DISTRICT REGIONS
Authors: ОРДЫНСКАЯ М.Е. , СИЛИНА Т.А. , ЗАХАРОВА Е.Н.
Published: January 2024

Актуальность исследования обусловлена тем, что малое предпринимательство является важным элементом современной экономики, который вносит значительный вклад в обеспечение социальной устойчивости регионов и страны в целом, способствует занятости населения, пополнению бюджета. Однако, в современных реалиях микро- и малые предприятия оказались наиболее уязвимыми хозяйствующими субъектами и нуждаются в финансовой поддержке со стороны государства. Статья направлена на выявление основных направлений финансовой поддержки субъектов малого бизнеса Южного федерального округа. Поддержка должна основываться на принципе долгосрочности и своевременно корректироваться при ухудшении показателей деятельности субъектов малого предпринимательства и изменении экономический, эпидемиологической и политической ситуации. Проанализирована динамика основных показателей финансовой поддержки субъектов малого бизнеса регионов Южного федерального округа на основе статистических данных. Использовались методы горизонтального, вертикального, сравнительного анализа. Проведенный анализ подтверждает востребованность финансовой поддержки субъектами малого бизнеса. Перечислены предложения, направленные на оптимизацию мер финансовой поддержки субъектов малого предпринимательства в ЮФО.

The relevance of the study is due to the fact that small business is an important element of the modern economy, which makes a significant contribution to the regions’ social sustainability and the country as a whole, provides employment for the population and replenishment of the budget. However, in modern reality, micro and small enterprises have become the most vulnerable business entities and need state financial support. The work is aimed at identifying the main directions of financial support for small businesses in the Southern Federal District. The support should be based on the principle of long-term sustainability and in a timely manner when economic, epidemiological and political situation changes and the performance of small business entities deteriorates is analyzed through the analysis of statistical data. Horizontal, vertical, and comparative methods have been used to analyze the dynamics of small business financial support indicators in the Southern Federal District regions. The analysis confirms the relevance of financial support for small business entities. Proposals aimed at optimizing financial support measures for small business in the Southern Federal District have been presented.
FORECASTING AUTOMATION OF THE AGRICULTURAL ENTERPRISES BASIC INDICATORS
Authors: СЕРГИЕНКО Е.Г. , ЛЕВУШКИНА С.В. , ШИШКИНА Л.А.
Published: January 2024

В современных экономических условиях прогнозирование является мощным инструментом целевого управления сельским хозяйством. Аграрный сектор является одним из самых сложных объектов прогнозирования. На него оказывают влияние ряд факторов (объективные и субъективные), обеспечивающие его нормальное функционирование и развитие. Мониторинг изменений погодных условий необходим, особенно в тех районах, которые специализируются на выращивании зерновых культур. Причиной этого является нестабильный климат [1]. Снижение сельскохозяйственных рисков в сельском хозяйстве невозможно без создания новых прогнозов. Цель прогнозирования - объединить создание математических технологий и современных технологий, способных повысить продуктивность исследователей и точность ожидаемых результатов прогнозов. Существующие методы прогнозирования урожайности зерна не отвечают требованиям современного развития общества. Они основаны на использовании устаревших технологий, целью которых является использование средних значений, взятых из разных баз данных, часто конфликтующих между собой. Поэтому разработка автоматизированной системы, содержащей инновационные технологии сбора данных с полей и построения гибких сценариев прогноза урожаев, является актуальной задачей. Ключевые слова: прогнозирование, урожайность зерновых культур, тренд, циклические закономерности, экономические показатели предприятий АПК.

Forecasting is a powerful tool for targeted agricultural management. The agricultural sector is one of the most difficult forecasting objects because of number of objective and subjective factors that ensure its normal functioning and development. Monitoring of unstable climate changes must be done in the areas growing grain crops. The forecasting goal is to combine the creation of mathematical and modern technologies which can increase the productivity of researchers and the accuracy of the expected forecast results. It is based on outdated technologies and use different databases averages, which often conflict with each other. Grain yield forecasting methods do not meet the requirements of modern society. Therefore, the development of an automated system containing innovative technologies for collecting data from fields and constructing flexible yield forecast scenarios is an urgent task.
Active methodologies as a support in the teaching-learning process in healthcare
Authors: Machado Tannara Patrícia Costa , Lima Elizabeth Karine Freire , Nascimento Samara Naiane de Souza , Silva Dinara Rute Gomes , Silva Aline Spíndola , Soares Stela Lopes , Sousa Maria do Socorro de , Sousa Tânia Maria de
Published: January 2024

Active methodologies constitute a teaching-learning strategy based on problematization with the objective of reaching and motivating the student, who, faced with a problem, analyzes, reflects and decides on a given situation, showing active involvement in their training process. The objective of this work is to report the experience of the active methodologies discipline applied to Health Education, included in a master's degree course. Reflections were promoted based on welcoming dynamics, dialogued exhibitions and group work addressing the practices of active methodologies in the teaching-learning process. It is concluded that it is essential to incorporate innovative methodologies in Health Education, in order to promote the training of professionals with a profile that meets the demands of the SUS and current society.
Drone as a tool for geotechnical investigation
Authors: Pamboukian Sergio Vicente Denser , Concilio Ricardo , Dinis Henrique , Lázaro Alberto Alonso , Duro Magda Aparecida Salgueiro , Silva Eric Ribeiro da
Published: January 2024

Natural slopes are naturally exposed to instability due to accidents involving landslides and erosion. In general, access to these areas is difficult due to the uneven profile and inconsistency of the terrain, presenting a risk of accidents. However, for a careful assessment of the level of geological risk to which the slopes are subjected, accurate and detailed topographic and photographic surveys are necessary. In this sense, drone mapping has proven to be an effective tool, as it allows obtaining digital topographic maps supported by photographic documentation in excellent resolution, allowing the identification of the geological features of the surveyed areas. The Mackenzie School of Engineering in partnership with the Francisco Morato city hall carried out a geotechnical investigation and topographic record through photointerpretation of slopes in an advanced process of erosion. As mapping products, the following were generated: the Digital Surface Model (DSM), the Digital Terrain Model (DTM), the 3D Model (mesh), the photo orthomosaic and the contour lines, among others. The detailed evaluation of these products will enable the elaboration of a recovery project for the area.
PENGENALAN KARYA ILMIAH REMAJA (KIR) DI UPT SMA NEGERI 9 GOWA MELALUI EKSPLORASI ALAM SEKITAR
Authors: Bahar Erni Ekafitria , Mahmud Randy Saputra , Takdirmin Takdirmin , Mutmainnah Mutmainnah , Syam Haerul , Gaffar Abdul , Syahri Andi Alim , Quraisy Andi , Arriah Fathrul , Syamsuadi Ahmad
Published: January 2024

Ekstrakurikuler Kelompok Ilmiah Remaja (KIR) bertujaun untuk pengembangan keterampilan menulis ilmiah, kemampuan penelitian, analisis, serta komunikasi dalam dunia akademik. Namun di sekolah mitra belum terdapat ekstrakurikuler tersebut. Sehingga  kegiatan pengabdian kepada masyarakat (PKM) ini bertujuan untuk memberikan pengenalan kepada guru dan murid mengenai karya ilmiah remaja sehingga guru dan murid memiliki pandangan mengenai pentingnya membentuk Kelompok Ilmiah Remaja (KIR) yang aktif dan berfungsi di sekolah mitra guna mengisi kekosongan dalam kegiatan ekstrakurikuler yang berfokus pada karya ilmiah serta sebagai wadah untuk pengembangan ilmiah dan pemahaman tentang alam sekitar. Metode yang digunakan pada kegiatan ini adalah metode ceramah (pemaparan materi), tanya jawab, serta diskusi. Peserta antusias selama kegiatan ini. Peserta terdiri dari guru dan 20 orang murid yang merupakan anggota OSIS dan MPK di sekolah mitra. Hasil pengabdian ini adalah: (1) Guru dan murid memahami pentingnya membentuk ekstrakurikuler Kelompok Ilmiah Remaja (KIR); (2) Peserta memahami langkah-langkah menemukan ide penelitian, metode penelitian dan sistematika penulisan krya tuis ilmiah
PENGUATAN LITERASI GURU DAN SISWA MELALUI QUICK RESPONSE CODE (BARCODE) BUKU KURIKULUM MERDEKA DAN MEDIA BOARD GAME PADA PROGRAM KAMPUS MENGAJAR 6 DI SEKOLAH DASAR
Authors: Suardi Suardi , Hijrah Hijrah , Ramlan Herdianty , Mutiara Indah Ainun , Syarifuddin Syarifuddin , Firdaus Firdaus , Nur Syahban , Nur Rahmat , Nur Hasruddin
Published: January 2024

Permasalahan SD Inpres Pabbentengan kurangnya buku-buku kurikulum merdeka yang bisa dibaca dan digunakan oleh guru dan kurangnya media pembelajaran yang dapat memotivasi siswa dalam belajar. Solusi permasalah SD Inpres Pabbentengan melalui menggunakan literasi digital Quick Response Code (barcode) dan board game yang bisa digunakan guru dan siswa dalam belajar. Metode pelaksanaanya melalui tahap diskusi, membuat, mencetak, melatih, membagikan, praktik dan melakukan Gerakan literasi. Hasil kegiatan pengabdian Penguatan literasi guru dan siswa melalui Quick Response Code (barcode) buku kurikulum merdeka dan media pembelajaran board game pada program kampus mengajar angkatan 6 di SD Inpres Pabbentengan mendapatkan respons positif dari seluruh elemen sekolah karena menganggap kegiatan yang dilakukan sangat bermanfaat untuk kepala sekolah, guru dan siswa-siswa dalam belajar di semua mata pelajaran pada kurikulum merdeka, sedangkan media pembelajaran board game dapat memotivasi siswa dalam belajar.
Pavel Korin: Everlasting Russia
Authors: Rostova N. N.
Published: January 2024

The article is dedicated to the creative works of the renowned Russian and Soviet artist Pavel Dmitrievich Korin. The author of the article aims to show that the central concept of the artist — his “Farewell to Rus” — never saw the light of day, but still culturally endured, defining our metaphysical coordinates in post‑revolutionary Russia. Korin’s works focused on timeless meanings, the very soul of the people, rather than on localized historical episodes or related heroes. At his extreme, Korin was oriented towards the “everlasting Russia” — those fundamental foundations of our consciousness that remain unaffected by the vicissitudes of history. Drawing parallels between the ideological and aesthetic similarities between Mikhail Nesterov’s “The Soul of the People” and Pavel Korin’s “Farewell to Rus”, the author conducts their detailed analytical comparison. The author concludes that unlike Nesterov, Korin painted the tragic moment of losing the essence in its totality. In the author’s opinion, the comprehensive symbolism is equally characteristic of Korin’s well‑known triptychs and mosaic panels adorning the Moscow subway stations. By analyzing specific images, the author demonstrates how Korin, through painterly means, expressed the philosophy of victory.
A educação antirracista na Amazônia: um campo em construção no estado de Rondônia
Authors: Oliveira Maria Aparecida Costa , Da Silva Armelinda Borges , Santos Gisely Storch do Nascimento , Álvaro Juliana Faria , De Andrade Fábio Santos
Published: January 2024

Tendo em vista o processo histórico de formação da sociedade brasileira, a política educacional para o negro se tornou elementos essenciais nos espaços formativos, dando significado, significância e representatividade aos conteúdos trabalhados na escola. Neste sentido, o objetivo dessa pesquisa é analisar como está acontecendo a educação para o homem negro e a mulher negra na região amazônica, e como as instituições de ensino tem inserido elementos da história e da cultura africana e afro-brasileira no currículo e nas práticas pedagógicas no Estado de Rondônia. Como instrumentos metodológicos utilizamos a pesquisa bibliográfica e documental. A pesquisa evidenciou que o(a) negro (a) traz grandes contribuições para a formação da região amazônica, entretanto, ainda há grandes desafios, para a superação do racismo e do preconceito, para o protagonismo negro na sociedade atual.
Desafios para a mudança organizacional no Tribunal de Justiça do Estado de Goiás: análise empírica a partir da Comarca de Goiânia
Authors: Soares Luciana Barboza , Dos Santos Ilana Mara Borges Barreto , Yoshida Leticia Luchese , De Almeida Michelle Queiroz , Silva Thiago Henrique Costa
Published: January 2024

Este estudo o objetivo central de analisar fatores negativos e positivos associados à mudança organizacional, a partir do caso do Tribunal de Justiça de Goiás, Comarca de Goiânia. Busca-se entender quais são os desafios para implementar a mudança em uma organização, do tipo estatal. Por meio do método indutivo, em abordagem qualitativa, realiza-se revisão bibliográfica sobre gestão da mudança. Em seguida, realiza-se pesquisa empírica, por meio de questionário, com perguntas fechadas, e respostas seguindo a escala Likert, aplicado aos colaboradores da organização, para avaliação dos resultados percebidos da mudança na gestão de suas unidades de trabalho. Dos resultados obtidos, com a amostra de sessenta e um colaboradores avaliados, destacam-se falhas no uso de práticas importantes para a gestão do processo de mudança, consideráveis atitudes de ceticismo e medo dos entrevistados no decorrer da mudança e os efeitos negativos das falhas no uso de algumas práticas de gestão nas atitudes dos indivíduos e nos resultados da mudança por eles percebidos.
Uma abordagem gamificada no ensino técnico de programação orientada a objetos
Authors: Aguiar Janderson Jason Barbosa
Published: January 2024

Este artigo explora a aplicação de elementos de gamificação no ensino técnico de Programação Orientada a Objetos (POO), com ênfase na compreensão do conceito de Herança. Diante dos desafios enfrentados por estudantes ao lidar com a motivação e a transição de paradigmas em disciplinas de programação, realizou-se uma experiência gamificada. Os resultados indicaram um ambiente de aprendizagem mais colaborativo e, em geral, um aumento no engajamento dos alunos. Este artigo busca promover a reflexão sobre a potencial adoção de estratégias gamificadas para aprimorar o ensino de programação, especialmente no contexto da POO. No futuro, planeja-se expandir essa abordagem, considerando a personalização do processo educacional. Este trabalho contribui para a discussão sobre práticas criativas no âmbito educacional.