bluuebunny/crossref_metadata_2025 huggingface dataset:
Pelatihan Penyelenggaraan Pembelajaran Literasi dan Numerasi Transisi PAUD-SD yang Menyenangkan di SDN 36/V Pembengis Kuala Tungkal
Authors: Budiono Hendra , Siregar Masyunita , Zahyuni Violita , Utami Winda Sherly , Pammela Issaura Sherly
Published: August 2024

Transisi PAUD-SD merupakan masa paling riskan dan penting untuk keberhasilan belajar di sekolah dasar dan jenjang selanjutnya. Salah satu keterampilan yang penting distimulasi untuk memasuki jenjang SD adalah keterampilan literasi numerasi. Oleh karena itu perlu dipahami bagaimana merancang kegiatan pembelajaran literasi numerasi yang menyenangkan bagi siswa. Pengabdian kepada masyarakat ini bertujuan untuk memberikan pemahaman dan keterampilan guru PAUD dan SD terkait dengan penyelenggaraan pembelajaran literasi dan numerasi transisi PAUD-SD yang menyenangkan. Kegiatan dilakukan di SDN 36/V Pembengis Kuala Tungkal dengan sasaran peserta kegiatan yaini guru SD dan guru PAUD berjumlah. Kegiatan dilakukan dengan metode ceramah, diskusi, dan tanya jawab serta adanya kegiatan brainstroming dan role playing terakit dengan bentuk pembelajaran literasi dan Numerasi. Diakhir kegiatan diberikan angket untuk mengukur pemahaman peserta. Hasil kegiatan ini menunjukkan adanya peningkatan pemahaman guru terkait materi yang diberikan dapat terlihat pada tingkat pemahaman dengan persentase 88,15% dengan kategori sangat baik.
Penyuluh Pelatihan Membuat Media Pembelajaran Animasi Flash Kepada Guru-guru Sekolah Dasar di Kecamatan Nirwana
Authors: Juwairiah Juwairiah , Sembiring Darmawanta , Kadirun Kadirun , Rukhmana Trisna
Published: August 2024

Penelitian ini bertujuan untuk mengkaji efektivitas pelatihan pembuatan media pembelajaran animasi Flash bagi guru-guru sekolah dasar di Kecamatan Nirwana. Penelitian ini menggunakan pendekatan kualitatif dengan metode observasi, wawancara, dan analisis dokumen untuk mengumpulkan data dari 15 guru yang mengikuti pelatihan tersebut. Hasil penelitian menunjukkan bahwa pelatihan ini secara signifikan meningkatkan kompetensi guru dalam membuat dan menggunakan media pembelajaran animasi Flash. Guru-guru melaporkan peningkatan kepercayaan diri dan kemampuan mereka dalam menciptakan materi pembelajaran yang lebih menarik dan interaktif. Penggunaan animasi Flash terbukti mampu meningkatkan minat dan motivasi belajar siswa, serta membantu memperkuat ingatan jangka panjang melalui visualisasi yang berulang dan dinamis. Selain itu, animasi membantu menjelaskan konsep-konsep abstrak dengan cara yang lebih konkret dan mudah dipahami, sehingga meningkatkan pemahaman siswa terhadap materi pelajaran. Meskipun demikian, terdapat beberapa tantangan dalam implementasi hasil pelatihan, seperti keterbatasan fasilitas teknologi di sekolah-sekolah dan beban kerja guru yang padat. Penelitian ini menyarankan perlunya pelatihan berkelanjutan dan dukungan fasilitas teknologi yang memadai untuk mendukung penerapan media pembelajaran berbasis animasi. Secara keseluruhan, pelatihan pembuatan media pembelajaran animasi Flash menunjukkan potensi besar dalam meningkatkan kualitas pendidikan di sekolah dasar.
Partisipasi Civitas Akademika STIKes Mayapada Dalam Pelaksanaan Pekan Imunisasi Nasional (PIN) Polio Di Wilayah Kerja Puskesmas Kecamatan Cilandak
Authors: Babo Djimmy Heru Purnomo , Bage Veronika Papo , Hanaratri Yuliana , Sinaga Wanto , Lestaria Dame
Published: August 2024

PIN Polio adalah langkah terdepan dalam memberikan imunisasi polio, tanpa mempertimbangkan status imunisasi sebelumnya, dengan tujuan menghentikan rantai penularan virus Polio dan mencegah kelumpuhan pada anak-anak. Kegiatan imunisasi PIN Polio yang diikuti oleh civitas akademika STIKes Mayapada di wilayah kerja Puskesmas Kecamatan Cilandak, Kota Jakarta Selatan dilaksanakan pada tanggal 23-26 Juli 2024, dengan sasaran usia 0-7 tahun (bayi, balita, dan anak sekolah dari tingkat PAUD sampai kelas 2 SD). Kegiatan PIN Polio di wilayah kerja Puskesmas Kecamatan Cilandak, Kota Jakarta Selatan, yang melibatkan partisipasi civitas akademika STIKes Mayapada berhasil diselenggarakan dengan baik. Dalam upaya mencegah penyakit polio, kegiatan ini memiliki efek positif terhadap peningkatan derajat kesehatan masyarakat.
Kata Kunci: Imunisasi, Kesehatan, Polio, Virus
Mengenal Internet of Things (IoT): Penerapan Konsep dan Manfaatnya dalam Kehidupan Sehari-hari
Authors: Baharuddin Baharuddin , Sitopu Joni Wilson , Safarudin Muhamad Sigid , Adam Muh. Wahyu Suryandi , Safar Muh.
Published: August 2024

Penelitian ini bertujuan untuk meningkatkan pemahaman dan adopsi Internet of Things (IoT) di masyarakat Indonesia melalui pendidikan, pelatihan, mediasi, dan advokasi. Metode pendekatan multi-metode diterapkan, termasuk penyuluhan daring, pengembangan materi edukatif, pelatihan praktis, forum diskusi online, dan kolaborasi dengan berbagai pemangku kepentingan. Hasil penelitian menunjukkan peningkatan signifikan dalam pemahaman tentang konsep IoT dan kemampuan praktis dalam menerapkannya dalam kehidupan sehari-hari. Dukungan berkelanjutan dari pemerintah, perusahaan, dan komunitas lokal terbukti penting dalam mempercepat adopsi teknologi ini di daerah-daerah terpencil. Penelitian ini tidak hanya memberikan kontribusi pada literatur tentang adopsi teknologi, tetapi juga memberikan landasan untuk pengembangan strategi lebih lanjut dalam pendidikan teknologi di Indonesia.
Pemanfaatan Barang Bekas Skala Rumah Tangga dengan Metode Reduce, Reuse dan Recycle sebagai Upaya Mencapai Kemandirian Ekonomi dan Kepedulian Lingkungan di Kelurahan Srengseng Jakarta Barat
Authors: Affini Dinar Nur , Shiratina Aldina , Putranto Panji
Published: August 2024

Kegiatan ini merupakan Program Pengabdian Masyarakat (PPM) yang bertujuan untuk memanfaatkan barang bekas yang sudah tidak dipergunakan dan menumpuk di rumah. Kegiatan pengabdian ini dilakukan dengan cara memberikan pelatihan bagaimana mengolah barang bekas dengan  dengan menggunakan metode Reduce, Reuse, dan Recycle (3R). Kegiatan ini diharapkan dapat mencapai kemandirian ekonomi rumah tangga dan menjadi alternatif bisnis yang berkelanjutan atau hijau sehingga dapat meningkatkan kepedulian lingkungan masyarakat serta menurunkan dampak negatif yang minimal terhadap lingkungan. Metode  pelaksanaan dilakukan dengan pendekatan yang akan diterapkan dalam kegiatan ini meliputi: pendekatan partisipatif, pendekatan kelompok, dan pendekatan komprehensif.
Investigation of Sleep Quality and Kinesiophobia Levels in Individuals with Fibromyalgia with Different Physical Activity Levels
Authors: Bulguroğlu Merve , Bulguroğlu Halil İbrahim
Published: August 2024

Purpose: It is known that physical activity is essential for all dimensions of the disease in individuals with Fibromyalgia. This study investigated how sleep quality and kinesiophobia levels affect individuals with Fibromyalgia with different physical activity levels.
Methods: Our study was planned as a cross-sectional study of fibromyalgia individuals who applied to Ankara Medipol University's physiotherapy and rehabilitation department. The sample consists of one hundred sixty-eight volunteer participants. Physical activity levels of individuals, using the International Physical Activity Questionnaire (IPAQ), sleep quality, using the Pittsburg Sleep Quality Index (PSQI), and kinesiophobia levels, using the Tampa Kinesiophobia Scale (TKS), were evaluated.
Results: It was determined that the amount of physical activity of fibromyalgia patients was 1213.21±141.19 METmin/week, which means low physical activity level, and 50.6% were not physically active. The mean total score of PSQI was 8.23±1.32, and the mean total score of TKS was 43.12±2.19. It was determined that there was a negative and significant correlation (p
Evaluation of the integration of simulation-based training program into the anesthesia technician curriculum : A mixed method study
Authors: Kitapçıoğlu Dilek , Usseli Tuba
Published: August 2024

Background: The aim of this research is to assess the experiences of graduates from the anesthesia technician program with simulation-based training. By gathering their perspectives as learners who went through the simulation curriculum, the study seeks to identify potential improvements for better integrating simulation into the program.
Method:The research examined the experiences of 68 graduates from the Anesthesia Program at Acibadem Mehmet Ali Aydınlar University's Vocational School of Health Sciences. The focus was on the simulation-based education program that was incorporated into their curriculum during their studies. The study employed a mixed-methods research approach, gathering both quantitative data through surveys and qualitative data through focus group discussions. The data from these different methods were integrated and interpreted using Creswell's Convergent Design
Results:The majority of participants (95.16%) stated that the simulation training significantly contributed to increasing their knowledge and skills,additionally, 93.55% of the participants stated that debriefings and the group discussion environment contributed to their learning processes.Participants who responded to the survey stated that the simulated cases were similar to the cases encountered in the clinic (79.09%), and that the features of the simulators and the environment were realistic (91.94%).However 43.55% of the participants also stated that the time allocated for training was not sufficient. The opinions of the participants in the focus group discussions were also similar.
Conclusion:The simulation-based training program for anesthesia technicians found to be effective. However, based on participant feedback suggesting more time should be devoted to training, it was determined that opportunities for self-directed learning need to be implemented.
Use of lactic and propionic acid bacteria in the procurement of corn silage
Authors: Vuhliar V .S. , Vuhliar Yu. Yu , Syrovatko I. A. , Honchar L. O. , Vyhovska I. O.
Published: August 2024

Purpose. To investigate the preservative action of lactic and propionic acid bacteria in preparation of corn silage for long-term storage. Methods. In the research general scientific methods were used: zootechnical (setting up and carrying out scientific experiments, establishing the nutritional value of feed in the diet), technological, laboratory, chemical analysis of feed according to the generally accepted methods, statistical (biometric materials), analytical. Results. When adding a combination of a bacterial preparation to an aqueous solution of dried skimmed milk to the green mass of corn, a tendency to increase the concentration of colonies up to 3.9·1015 organisms in 1 gram of dry matter was observed at the initial concentration of ICD 1·1016. As a result of the use of the preservative “Propicomb” diluted in an aqueous solution of dried skimmed milk, the total release of gases during the fermentation period decreased by 15.4%. The amount of released gases per 1 gram of dry matter decreased by 9.4% when treated with iodized table salt at a dose of 3 kg/t and by 10.7% when treated with the biological preservative “Propicomb” at a dose of 2 g/t. The results of the organoleptic evaluation of the silage opened after 60 days of storage showed that all of the samples of the corn silage mass had a preserved structure, a sweet smell of fermented vegetables, a light brown color without visible mold lesions, which corresponds to DSTU 4782:2007 “Silage from green plants. Specifications”. Preservation of the green mass of corn with the biological preservative “Propicomb” at a dose of 2 g/t, activated on an aqueous solution of dried skimmed milk, increases the energy value to 10.29 MJ/kg in terms of exchangeable energy and potential milk production to 6.19 MJ/kg according to the net energy of lactation. Conclusions. Silage treated with experimental inoculants had a better preservation of dry matter of feed, and also allowed to increase the percentage of crude protein while reducing the fiber index.
The effect of biologically active additives on the action of mycotoxins
Authors: Chornolata L. P. , Lykhach S. M. , Zdor L. P. , Naidina T. V. , Pohorila L. H.
Published: August 2024

Purpose. To study the quality of compound feeds, the components of which are grain of cereal crops, which can be affected by fungi of the genus Fusarium and contaminated with mycotoxins. To investigate the role of a biologically active additive, which includes organic and medium-chain fatty acids, as well as active organic copper for neutralizing the toxic effect of mycotoxins present in compound feed for pigs and its effect on animal productivity. Methods. Compound feed ingredients and compound feed itself (starter, grower, finisher) for different age groups of pigs were studied for the content of the main nutrients that characterize nutrition, as well as mycotoxins: aflatoxin, deoxynivalenone, zearalenone, fumonisin, T-2 toxin. Sampling and determination of main indicators were carried out in accordance with regulatory documents. Determination of mycotoxins was carried out by the immunoenzymatic method using the “Sunrise” analyzer. Results. Raw materials used for the production of combined feeds contained 5.47-11.8% of fusarium wheat, 8.10-14.2% of triticale, 3.58-4.25% of barley. The grain was also affected by altarnaria and septeriosis. As a result, compound feed made for pigs was contaminated with mycotoxins: aflatoxin in the starter exceeded the permissible level by 11 times, in the finisher – by 2.5 times; deoxynivalenone exceeded the permissible level by 10-20%; T-2 toxin – by 30-36%, and zearalenone was present in an amount below the permissible level. The addition of an additive to compound feed, which included organic and low-chain fatty acids and active organic copper, contributed to the increase in the average daily gains of pigs consuming compound feed starter to the level of 548 g, those consuming compound feed grower to – 720 g, and finisher – to 940 g. Conclusions. The introduction of the additive, which included organic and low-chain fatty acids and active organic copper in the composition of a starter feed, contributed to the increase in average daily gains by 25%, in the grower one – by 25%, and in the finisher – by 27%.
Estimating age-related change in infants’ linguistic and cognitive development using (meta-)meta-analysis
Authors: Cao Anjie , Lewis Molly , Tsuji Sho , Bergmann Christina , Cristia Alejandrina , Frank Michael C.
Published: August 2024

Developmental psychology focuses on how psychological constructs change with age. In cognitive development research, however, the specifics of this emergence is often underspecified. Researchers often provisionally assume linear growth by including chronological age as a predictor in regression models. In this work, we aim to evaluate this assumption by examining the functional form of age trajectories across 24 phenomena in early linguistic and cognitive development by combining the results of multiple meta-analyses in Metalab, an open database. Surprisingly, for most meta-analyses, the effect size for the phenomenon did not change meaningfully across age. We investigated four possible hypotheses explaining this pattern: (1) age-related selection bias against younger infants; (2) methodological adaptation for older infants; (3) change in only a subset of conditions; and (4) positive growth only after infancy. None of these explained the lack of age-related growth in most datasets. Our work challenges the assumption of linear growth in early cognitive development and suggests the importance of uniform measurement across children of different ages.
TASKS-R Framework: A Refactorization and Refinement of TASKS Framework
Authors: Dong Huajun
Published: August 2024

Implementation is the act to implement, to complete, perform, carry into effect. The identificationof implementation barriers is a major part of implementation science. TASKS framework is arepresentative model to identify implementation barriers considering factors including workload,mental stress and mental capability. This paper reviews TASKS framework. Based on the limitationsof TASKS framework, the author proposes TASK-R framework. The novelty of TASK-R frame isfourfold: 1) involving resource factor into the mental capability; 2) defining the arithmetic relationship between knowledge, skills and resource by introducing dot product operation and convolutional operation; 3) applying the sigmoid function over affect; 4) introducing the projective matrix from objective workload to perceived workload. By the innovation of TASKS-R framework, it is promising to improve the qualitative model into a quantitative model.
How we Measure and Operationalise Socioeconomic Disadvantage in Developmental Research has Implications for Theory and Policy
Authors: Blakey Emma , Outhwaite Laura Ann , Braithwaite Eleanor , Hendry Alexandra
Published: August 2024

Developmental research is making great strides in understanding how socioeconomic disadvantage impacts cognitive development in a range of domains. However, socioeconomic disadvantage as a concept remains ill-defined and inconsistently operationalised. If we are to fully understand how socioeconomic disadvantage affects cognitive outcomes to inform the implementation of effective social policies, it is essential that we have greater conceptual clarity and more precision in how we measure it. This paper highlights three key issues in how socioeconomic disadvantage has been conceptualised and operationalised in early cognitive development research. It concludes by offering some potential solutions to support a more holistic, comprehensive and inclusive understanding of social gradients in cognitive development.
A FAIR Workflow Guide for Researchers in Human Cognitive Neuroscience
Authors: Zheng Zefan , Chen Xiaoli , Brown Tanya , Cousijn Helena , Melloni Lucia
Published: August 2024

In the ecosystem of open science, three key entities—knowledge, scientists, and data—face major challenges. First, the replication crisis across disciplines raises concerns about the fairness of generating scientific knowledge, which we term "unfair to science." Second, the push for scientists to publish vast amounts of data without ensuring its discoverability creates an "unfair to data '' situation. Third, even when data is shared, open scientists often lack recognition and incentives within the academic hiring system, making it "unfair for open scientists." To address these challenges, this project offers a proof-of-principle solution. We outline an initial roadmap aimed at realizing a fair vision for each problem. To make science fair: we advocate for an open research lifecycle from pilot testing to final experimentation that safeguards reproducibility. To make data fair: we present a domain-specific metadata template for human cognitive neuroscience using controlled, machine-readable vocabularies and ontologies which ensures data discoverability. To promote fairness for open scientists and to credit open science efforts, we introduce a dashboard that quantitatively visualizes various research outputs and author contributions, including pre-registration, data collection, code development, and funding acquisition. This dashboard can expose the nuance of the scientific process, and the diverse contributions, and in the future could form the basis for a FAIR metric that acknowledges open science practices within academia. Our roadmap focuses on human cognitive neuroscience but can be generalized across other disciplines.
rmedsem: Statistical mediation analysis for covariance-based, partial least-squares and Bayesian structural equation models
Authors: Mehmetoglu Mehmet , Mittner Matthias
Published: August 2024

Mediation analysis is one of the most widely used techniques in the social and behavioral sciences. Conducting mediation analysis manually is prone to errors, highlighting the need for accessible and flexible software tools. The open-source and free R framework offers many excellent software packages, most of which support mediation analysis with only observed variables. To address this limitation, we have developed an R package, `rmedsem`, which estimates mediational hypotheses with both observed and latent variables. `rmedsem` is the only software implementing mediation analyses within the frameworks of covariance-based SEM, partial least squares SEM, and Bayesian SEM. The package extracts the necessary coefficients from an estimated SEM model (using `lavaan`, `cSEM`, or `blavaan`) specified with the well-known `lavaan` syntax. It then follows a decision tree based on the approaches by Baron and Kenny (1986), and Zhao et al. (2010), to determine the presence and type of mediation. One limitation of `rmedsem` is its current restriction to linear mediation models.
The Influence of Corporate Image, Satisfaction of Trust and Loyalty of Plasma Farmer in Palm Oil Mill Sei Galuh PTPN V Riau
Authors: Hotmatua Hotmatua , Zulkarnain Zulkarnain , Marnis Marnis
Published: August 2024

This study was aimed to analyze the influence of corporate image and satisfaction to trust. To analyze the influence of corporate image and satisfaction to loyalty and influence of farmer's confidence to farmer loyalty at palm oil mill Sei Galuh.The population of this research is 4.000 farmers. The sample size that will be used is 364 people. Data used in this research are primary data and secondary data. Data collection methods used by the authors in this study are by using Questionnaire. Data analysis method used is descriptive and quantitative. Descriptive is used to provide an overview of the data. Quantitative, i.e. analysis by collecting, categorizing and tabulating data, using the WarpPLS approach. Data analysis using WarpPLS approach.WarpPLS is an alternative approach that shifts from a Covariant-based SEM approach to variance-based.The results of this study show the image of the company affects the trust. These results prove that the better the image of the company then the confidence of farmers to the company will increase. Satisfaction affects trust. This proves that the better the satisfaction of farmers, the farmer's confidence in the company will increase. Corporate image affects loyalty. These results prove that the better the image of the company the higher the loyalty of farmers to the company. Satisfaction affects loyalty. This proves that the better the satisfaction of farmers, the loyalty of farmers to the company will increase. And Trust affects the loyalty of farmers. These results prove that the higher the confidence of farmers to the company, the higher the level of loyalty of farmers to the company.
The Effect of Leadership, Competency and Talents Management to Career Development Through Employees Performance of BPJS Health of Regional Division II
Authors: Fadillah Erwin , Hendriani Susi , Samsir Samsir
Published: August 2024

This study was aimed to determine and analyze the influence between Leadership, Competence, and Talent Management on Career Development BPJS Health Division II Regional Performance as a variable Mediation. The population of this study were all leaders in BPJS Health Division II with the level of manager and assistant manager who totaled 121 people. The sample in this research is 99 people obtained by disproportionate stratified random sampling method. The instrument used for data collection is by ordinal scale model questionnaire. To test the hypothesis used descriptive analysis and PLS analysis.The result of data analysis shows that (1) the leadership has a significant positive effect on career development, (2) the competence has a significant positive effect on career development, (3) the competence has a significant negative effect on career development, (4) talent management has no significant positive effect on the development (5) leadership has a negative effect on insignificant to career development, (6) competence has no significant positive effect on leadership performance, (7) talent management has significant negative effect on leadership performance, (8) leadership performance is not a mediation variable between leadership career development, (9) leadership performance is not a mediating variable between competence on career development, (10) and leadership performance is not a mediating variable between talent management towards career development.
The effect of capital adequacy ratio, loan-to-deposit ratio, non-performing loan, and operational efficiency on the rate of return on assets with allowance for impairment losses as moderating variable in conventional banks listed on the Indonesian stock
Authors: Khairi Fachri Randa , Halim Edyanus Herman , Rokhmawati Andewi
Published: August 2024

This study is quantitative research focusing on the effect of specific financial ratios, namely the capital adequacy ratio, loan-to-deposit ratio, non-performing loan, and operating costs on operating income ratio (BOPO), on the return on asset level with impairment loss reserves as moderating variables. The population in this study were conventional banking companies listed on the Indonesia Stock Exchange (IDX) during the 2018-2021 period. A sample of 26 companies was selected using purposive sampling. The data was processed using moderation regression analysis. The results showed that the capital adequacy ratio significantly positively affects return on assets. The loan-to-deposit ratio does not affect the return on assets. Non-performing loans and operating costs of operating income significantly negatively affect the return on assets. Provision for impairment losses as a moderating variable weakens the effect of the capital adequacy ratio variable and operating cost of operating income on return on asset. Impairment loss reserve does not moderate the impact of loan-to-deposit ratio and non-performing loan variables on return on asset.
GSM Mobile Positioning based on Path Loss using Hyperbola and Interpolation
Authors: Shrestha Simon B. , Kshatri Dinesh Baniya
Published: August 2024

The Location of a mobile user is an utmost importance because of its seamless mobility feature. The technology for finding the such user in mobile networks is now one of the most promising and research-needed fields. Classification of potential location based system (LBS) applications can be done as for public safety, consumer needs and enterprise business. There are various methods that have been studied but many of them have good accuracy in outdoor RF environment only. Such environment consists of good Line-of-sight (LOS) and thus multipath propagation and other penetration loss have a very less effect. Some of the method studied here are Receive signal strength (RSS), Time of arrival (TOA), Difference in time of arrival (DTOA), Global Positioning system (GPS) etc. These methods have their own pros and cons. The proposed method is developed to improve the accuracy of location of MS using hyperbolic technique based on path loss of three Base station transmitter (BTS) and polynomial interpolation of appropriate degree for error forecast. Such path loss is used to estimate the reference distance between BTS and MS by using one of the empirical model. During the calculation of such distance, the ground altitude is also taken into consideration to determine the value of tower height. There are three different error sources which effects the estimated reference distance. First is the error in RSS measured by MS, second is error in the network parameter and third is error in empirical model. These errors are interpolate so that combine error can be forecasted using appropriate degree of polynomial interpolation which then get adjusted with estimated distance thus produce the more accurate enhanced reference distance. Thus location of the Mobile device can be calculated more accurately.
Improving Breast Cancer Classification using Local Binary Pattern in Bit Plane Slicing and CNN
Authors: Ghimire Anuj , Pandey Sanjeeb Prasad
Published: August 2024

Breast cancer is a most common women's health problem and considered the most dangerous disease among females. Breast cancer affects 8% of women at some time in their lives and is the main cause of cancer death, according to various statistics. The only way to consistently detect early and potentially curable breast cancer is to use mammography screening. The first step in the identification process is image segmentation. Most of the algorithm results for detecting textures or cancer cells work well on binary images. Texture analysis is crucial for distinguishing between normal and aberrant types. The images' bit planes are examined individually and in different ways. The classification takes into account the attributes found on these bit planes. The Local Binary Pattern operator can also be used to extract texture features. To distinguish between normal and abnormal tumors, the retrieved textural features can be trained and classified using the Convolutional Neural Network (CNN) classifier. The conclusion of the classification model depends on the data set and how the characteristic was extracted from the data set. This method is unbiased by the type of anomaly and can be used to supplement computer-assisted detection based on the detection of specific abnormal structures. Therefore, in many cases of images, the algorithm provides an accuracy of 93.11% or more.
Credit Card Fraud Detection using Heterogeneous Ensemble Techniques
Authors: Ale Bhim Prasad , Khadka Ashim
Published: August 2024

Credit card fraud is a major issue in the financial sector, necessitating advanced detection methods to minimize financial losses and improve security. Traditional techniques often struggle with the high dimensionality of transaction data and the imbalanced nature of fraud datasets. To effectively detect fraudulent transactions, this paper proposes a heterogeneous ensemble learning approach that combines the best selected k features and voting techniques with SVM, ANN, and k-NN classifiers. Heterogeneous ensembles combine classifiers that utilize different algorithms, representations, or even feature sets. This diversity allows the ensemble to capture a wider range of patterns and relationships in the unseen data. The proposed ensemble model outperforms the individual classifiers, demonstrating the superior performance of the ensemble in mitigating challenges associated with credit card fraud detection. The ensemble performs better than existing models in terms of accuracy, precision, recall, and F0.1 score metrics. The recall rate, which is crucial for spotting fraudulent transactions, is improved by the ensemble technique, which effectively balances the trade-offs between precision and recall. The results indicate that feature selection using k-best significantly enhances the performance of individual classifiers and soft-voting ensemble methods. The findings presented lay the groundwork for future advancements in the development of more robust and adaptive fraud detection systems. The improved performance shows that the proposed approach is effective in detecting credit card fraud, and it has the potential to be implemented in the real world.
Analysis of FastText with Support Vector Machine for Hate Speech Classification on Twitter Social Media
Authors: Nuraini Nabila , Latipah Asslia Johar , Verdikha Naufal Azmi
Published: August 2024

Hate speech refers to sentences or words that aim to demean or insult individuals, groups, or communities based on factors such as ethnicity, religion, race, or social class. In this study, Natural Language Processing (NLP) techniques were employed using FastText feature extraction and SVM algorithm for text classification. The evaluation was conducted using F1 Score as the performance metric. The data was divided using the Cross-Validation method with 10 folds, and the experiment was performed with four SVM kernels: RBF, Linear, Polynomial, and Sigmoid. The results of this research, based on the effectiveness of the FastTextSVM method combination, demonstrate a strong performance in hate speech classification. By adopting FastText parameters from previous studies and involving four SVM kernels, this research achieved a satisfactory average F1 Score. The results obtained for the Polynomial kernel showed the best performance with an F1 Score of 0.813, followed by the Linear kernel with 0.809, the RBF kernel with 0.808, and the Sigmoid kernel with 0.805. This indicates that the F1 Score results do not show significant differences in outcomes.
Pengembangan Kewirausahaan bagi Kelompok Usaha Dasawisma Alpukat 2 Wirobrajan melalui Teknik Pengemasan dan Foto Produk
Authors: Ayuningtyas Fitri Juniwati , Rahayu Nur Puji
Published: August 2024

Berwirausaha merupakan salah satu cara seseorang dalam mempertahankan hidupnya. Konsep berwirausaha bisa berupa reseller yaitu menjual kembali produk yang dihasilkan oleh penjual lain atau penjual membuat produk sendiri kemudian menjualnya.   Dasawisma Alpukat 2 sebagai bagian dari organisasi Pemberdayaan dan Kesejahteraan Keluarga (PKK) yang beranggotakan 10 – 20 kepala keluarga (KK) yang berlokasi di wilayah Wirobrajan. Terbentuknya dasawisma ini diharapkan mampu berkontribusi dalam meningkatkan taraf hidup ibu rumah tangga serta kualitas kesehatan dan ekonomi melalui pengembangan kewirausahaan untuk usaha ekonomi produktif. Namun terdapat kendala dan hambatan dalam mewujudkan usaha ekonomi produktif diantaranya belum memiliki brand usaha, produk yang dimiliki masih cukup sederhana yang mana belum menggunakan kemasan yang baik, belum terlalu memahami strategi pemasaran secara digital dengan memanfaatkan foto produk, kemasan, dan brand usaha. Tim pengabdian masyarakat berinisiasi untuk menyelenggarakan kegiatan berupa sosialisasi dan pelatihan cara mengemas produk yang tepat, menarik serta higienis, serta pelatihan foto produk dengan menggunakan smartphone guna memberikan solusi atas permasalahan tersebut. Kegiatan ini bertujuan untuk meningkatkan kapasitas usaha Dasawisma Alpukat 2. Metode pelaksanaan kegiatan ini berupa ceramah, diskusi/tanya jawab, dan praktek. Hasil dari kegiatan ini adalah peningkatan pemahaman dan keterampilan mitra dalam mengemas produk khususnya makanan dan mitra juga lebih terampil dalam melakukan foto produk dengan smartphone.Kata Kunci: Ekonomi Produktif, Brand, Pemasaran Digital
Analisis Pengaruh Kawasan Rawan Longsor Terhadap Zona Nilai Tanah di Kecamatan Banyubiru, Kabupaten Semarang
Authors: Wijaya Arwan Putra , Sinaga Kepin , Wahyudin Yasser
Published: August 2024

Tanah longsor adalah suatu peristiwa geologi yang terjadi karena pergerakan masa batuan atau tanah dengan berbagai tipe dan jenis seperti jatuhnya bebatuan atau gumpalan besar tanah. Berdasarkan data BPBD Kabupaten semarang Pada tahun 2022 telah terjadi 91 kejadian tanah longsor di Kabupaten Semarang 23 diantaranya berada di Kecamatan Banyubiru. Adanya bencana tanah longsor akan berdampak pada harga tanah di kawasan tersebut. Pada penelitian ini juga dilakukan analisis pengaruh bahaya longsor terhadap harga tanah di Kecamatan Banyubiru. Untuk mengetahui pengaruh dampak bahaya longsor terhadap harga tanah dilakukan perhitungan regresi linier sederhana. Tahun 2019-2021 rata-rata perubahan ZNT pada daerah longsor pada adalah 13%. Rata-rata perubahan ZNT pada daerah bukan rawan longsor pada tahun 2019-2021 adalah 69%. Kenaikan rata – rata ZNT Tahun 2021-2022 pada daerah longsor adalah 9%. Kenaikan rata – rata ZNT Tahun 2021-2022 pada daerah bukan longsor adalah 21%. Hubugan korelasi antara jarak dari daerah rawan longsor ke daerah titik centroid zona nilai tanah   memiliki nilai 0.003. yang artinya jarak dari daerah longsor tidak besar mempengaruhi harga tanah. Hal ini disebabkan oleh daerah di sekitar daerah rawan longsor merupakan daerah permukiman, daerah parawisata dan jalan Kolektor primer.
Komparasi Kualitas Air Tanah dengan Metode Indeks Pencemar serta Storet pada Musim Pancaroba (Studi Kasus : Desa Glagaharum, Kecamatan Porong, Kabupaten Sidoarjo)
Authors: Purwaningsih Dita Putri , Oktorina Sarita , Setyowati Rr. Diah Nugraheni
Published: August 2024

Kecamatan Porong merupakan salah satu kecamatan yang terdampak lumpur Lapindo. Dampak dari lumpur Lapindo yaitu Desa Glagaharum. Setelah adanya luapan lumpur menyebabkan air tanah berubah dari segi keruh, rasa serta bau. Penelitian ini dilakukan pada musim pancaroba yaitu dari musim hujan ke musim kemarau. Perubahan pola cuaca dapat memperburuk masalah pada kualitas air. Tujuan penelitian ini yaitu mengetahui kualitas air tanah serta mengetahui status mutu air tanah pada musim pancaroba. Dalam penelitian ini sampel ditentukan dengan metode purposive sampling untuk 5 titik yang diuji duplo kemudian diteliti di laboratorium dan menghitung status mutu air dengan menggunakan metode indeks pencemar dan storet. Hasil yang diperoleh pada penelitian ini untuk metode indeks pencemar pada semua titik sampling (Dusun Mrisen, Kwaron serta Buaran) dikategorikan cemar ringan. Untuk metode storet pada titik sampling 1 (Dusun Mrisen) dan 2 (Dusun Kwaron) dikategorikan tercemar sedang, titik sampling 3 dan 4 (Dusun Kwaron) serta titik sampling 5 (Dusun Buaran) dikategorikan tercemar berat. Metode storet lebih sensitif terhadap parameter uji dibandingkan dengan metode indeks pencemar dikarenakan metode storet semakin banyak parameter yang diuji maka kualitas air semakin buruk sedangkan metode indeks pencemar hanya menentukan skor indeks di setiap parameter (parameter yang besar yang akan digunakan dalam perhitungan).Kata Kunci: Kualitas Air Tanah, Musim Pancaroba, Metode Indeks Pencemar, Metode Storet.
Sensitivity analysis of coal mine project investment using fuzzy model
Authors: Utami Hasrin Citra , Cahyadi Tedy Agung , Ernawati Rika
Published: August 2024

Investment analysis needs to be done to determine the feasibility of a project from an economic perspective. In this research, an investment analysis were applied in a coal mine project. The analysis were considering the results of NPV and IRR. NPV is the result of subtracting discounted costs [8]. IRR is an interest rate that shows the net present value is equal to the total amount of business investment [9]. The methods used in the analysis are the conventional method and the Fuzzy method. Conventional method is done by using NPV and IRR formula in Ms.Excel while Matlab for Fuzzy. The Fuzzy method apply a membership functions, namely triangular fuzzy number. The results of the analysis using conventional methods show an NPV value of $ 14,900,691 or IDR 223 Million with an IRR value of 69.8%. The results of the analysis using the fuzzy method with triangular membership functions showed the NPV values of IDR 232 Million and IRR 40.1 %. From the analysis, it can be seen that the fuzzy method is able to produce a larger NPV but a smaller IRR value whose value is close to conventional methods with the same input variables. So it can be concluded that the fuzzy method is quite well applied in investment analysis and it can help for the final decision of a project
مبدأ السيادة: الإقليم، السلطة والقرار
Authors: بن مزيان بن شرقي
Published: August 2024

يتنزل البحث ضمن سياق تاريخي - معرفي يتحدد بأحداث شهدها نهاية القرن العشرين: حرب الخليج، وظهور العولمة مع بداية القرن الحادي والعشرين، وما عشناه من أحداث في السنوات القليلة الماضية: وباء فيروس كورونا المستجد (كوفيد-19)، والأزمة المالية، والربيع العربي. هذه الأحداث وغيرها مما يمكن الوقوف عنده، وضعت مفهوم السيادة كما ورثناه تاريخيًا، على الأقل في المدة الحديثة والمعاصرة، أمام طروحات جديدة أصبح من الضروري التوقف عندها لكي نفهم السياق التاريخي الذي نعتقد أنه شهد تحولًا في تصوره لهذا المفهوم، وكيف يؤثر اليوم في تصورنا للمفهوم نفسه. والطرح الذي تمثلته العولمة، فيما يتعلق بفتح الحدود ورسم تصور جديد لمفهوم الدولة، جعل مفهوم السيادة على الإقليم يشهد تحولًا مغايرًا لما دافع عنه المفكرون الذين طرحوا مفهوم السيادة على الإقليم شرطًا لقيام الدولة. وبما أن مفهوم السيادة يتقاسمه، على الأقل، المبحثان السياسي والقانوني، سنحرص قدر الإمكان في تناولنا له على أن نُبقي عليه ضمن سياق فلسفة القانون فيما يتعلق بالقانون الدولي في شقَّيه: العام والخاص، والقانون العام، خاصة ما يتعلق بقانون الإجراءات المدنية، على أن يكون تناولنا للموضوع ضمن علاقة جدلية تتمثل في علاقة الإقليم بالسلطة، وعلاقة السلطة بالقرار. فكيف يمكن تصور ذلك؟
الشرعية والمشروعية بين الفلسفة السياسية، وفلسفة القانون، والأخلاق
Authors: حافظ مجدي
Published: August 2024

تستعرض الدراسة بشيء من التحليل والمقارنة والتتبع التاريخي، بعض الأفكار الهامة التي سوف نناقشها في الأقسام التالية. أولًا، مقدمة حول التمرد والثورة؛ إذ للحفاظ على توازنه النفسي يلجأ الإنسان، وحيدًا أو ضمن الجماعة، إلى أساليب من الاحتجاج والعصيان المسلح أو العصيان السلبي، والتمرد، والمقاومة، أو حتى إلى الثورة. ثانيًا، التمييز بين مصطلحَين قانونيَين نستخدمهما غالبًا من دون تمييز، هما الشرعية والمشروعية؛ إذ إن التمييز بينهما من شأنه أن يوضح لنا الكيفية التي يمكننا من خلالها الخروج بإجابات ملائمة عما طرحناه من أسئلة. ثالثًا، التطرق إلى نظريات فلاسفة العقد الاجتماعي (مثل: توماس هوبز، وجون لوك، وجان جاك روسو وغيرهم)، فيما اتصل بكيفية التعامل مع الحاكم الذي يخرج عن القواعد التي أقرها كل من الحاكم والمحكومين في التعاقد الذي تم بين الطرفين على أثر هذا العقد. رابعًا وختامًا، تحاول الدراسة استخلاص أهم النتائج، التي يمكننا التوصل إليها، من استيعاب مجمل ما ذُكِر من مقدمات وطرح من أفكار.
Improving Learning Quality through Implementation of Merdeka Curriculum in Elementary Schools
Authors: Muashomah  , Kusmiyanti Sa’idah , Agustyarini Yhasinta
Published: August 2024

This study analyzes curriculum evaluation management in implementing the Merdeka Belajar program at Sekolah Penggerak SDNU Mutiara Insani Mojo Kediri. This research employs a qualitative approach with data collection techniques through observation, interviews, and documentation. The findings indicate that implementing the Kurikulum Merdeka at SDNU Mutiara Insani Mojo Kediri has been implemented effectively and under sound evaluation principles. Curriculum evaluation is conducted periodically, involving various stakeholders, and the results of these evaluations are used to improve and develop the curriculum continuously. These findings suggest that evaluation management has positively contributed to enhancing learning quality at the school.
Alfabetización mediática en un mundo hiperconectado: de las redes sociales a la Inteligencia Artificial
Authors: Bustos Díaz Javier , Martin-Vicario Lara
Published: August 2024

Introducción: La inteligencia artificial (IA) se ha convertido en un elemento clave en la producción de contenidos en la actualidad. Junto a esto, miles de usuarios lo emplean para resolver dudas sobre cuestiones concretas, pero ¿es una herramienta con información veraz? Metodología: Por todo ello, el presente trabajo tiene como objetivo analizar las fuentes de información que emplean las IA como ChatGPT y conocer como advierte al usuario de la calidad de las fuentes. Resultados: Por lo que respecta a los resultados, este trabajo analiza las principales Inteligencias Artificiales de creación de contenidos más empleadas entre los usuarios: ChatGPT, You y Gemini. Discusión: La inclusión de información sobre las fuentes utilizadas por las IA no solo aumenta la credibilidad del contenido generado, sino que también fomenta una cultura de responsabilidad y ética en el uso de la tecnología. Conclusiones: Existe una mejora en la implementación y transparencia de fuentes de información en lo relativo a la elaboración de textos y consultas por parte de las IA objeto de estudio.
METHOD OF IMPULSE IMPREGNATION OF TIMBER FOR BUILDING STRUCTURES
Authors:   Vinnytsia National Technical University, Horiun O.O. , Kots I.V. ,   Vinnytsia National Technical University
Published: August 2024

The article discusses the effectiveness of the impulse method of timber impregnation to improve its operational properties when used in building structures. A detailed analysis of modern timber impregnation methods is presented, in particular, the traditional static and the proposed impulse methods. The main advantages of impulse impregnation technology are defined, such as increasing the durability and fire resistance of wood, as well as improving its physical and mechanical properties, depending on the type of impregnation composition used. In the course of the study, an experimental comparison of both methods was carried out, the results of which confirm the high efficiency of the pulsed infiltration method.
TAKING INTO ACCOUNT THE JOINT OPERATION OF PRECAST CONCRETE COATING DISKS AS PART OF SPAN BENDING METAL STRUCTURES
Authors:   National University of Life and Environmental Sciences of Ukraine, Dmytrenko Ye.A. , Andrievska M.A. ,   National University of Life and Environmental Sciences of Ukraine, Yakovenko I.A. ,   National University of Life and Environmental Sciences of Ukraine
Published: August 2024

Traditional methods of beam’s structures calculation for industrial buildings' coatings provide their consideration separately from the frame structures, in particular, reinforced concrete slabs, without taking into account their joint work, which leads to a significant safety margin of structures. Today, there is a significant number of industrial buildings and structures that require strengthening and reconstruction in Ukraine.
OVERVIEW OF ONLINE SERVICES FOR STUDYING ROBOTICS IN DISTANCE EDUCATION
Authors:   Yuriy Fedkovych Chernivtsi National University, YASHAN Bohdan , PUKAL'SKII Ivan ,   Yuriy Fedkovych Chernivtsi National University, MELNYCHUK Liliia ,   Yuriy Fedkovych Chernivtsi National University
Published: August 2024

In conditions of rapid development and im-plementation of robotics in various spheres of human life, there is a need for high-quality training of IT specialists, programmers, and engineers. In the near future, such professions for the development of various branches of the state's economy, where special attention will be paid to the development of robotic systems will be needed. It is the introduction of STEM education in educational institutions, the creation of STEM laboratories, aimed at better training of future computer specialists, and the use of modern software, which allows future engineers to develop critical thinking, quickly make the right technical decisions and familiarize themselves with the latest tech-nologies in the robotics industry. Now the term "Educa-tional robotics" is widely used. "Educational Robotics" is a tool that provides a solid foundation for the development of systems thinking by combining the development of computer science, mathe-matics, physics, drawing, technology, science and engi-neering. Most students consider continuing their education to become an engineer or programmer in robotics, mechan-ics, etc. Studying the science of technology will help develop the necessary skills. Through the design, construction, assembly and commissioning of robots, educational robot-ics supports and deepens knowledge in certain fields and develops the abilities of students. That is, children acquire knowledge in the process of designing and creating ro-bots. Training takes place using robotic sets and virtual laboratories. In connection with the transition of educational institu-tions to distance learning and the lack of funds for the appropriate equipment for studying robotics, there is a need to study virtual platforms, online services and visual editors related to robotics. Therefore, this article highlights the possibilities and advantages of studying robotics in distance learning conditions and analyzes modern technologies and tools, in particular, virtual environments, online platforms and mobile applications. Recommendations for choosing and using services depending on the age of the child are also provided.