bluuebunny/crossref_metadata_2025 huggingface dataset:
Psychologiczne procesy wychowawczego wpływu na dzieci i młodzież w zmieniających się środowiskach wychowawczych
Authors: Kubicka Dorota
Published: June 2024

CEL NAUKOWY: Wskazanie na aktualność rozwijanej przed laty koncepcji czterech odmiennych, ale komplementarnych psychologicznych mechanizmów wychowawczego wpływu na dzieci i młodzież w wyjaśnianiu procesów edukacyjnych we współczesnych środowiskach wychowawczych.
PROBLEM I METODY BADAWCZE: Problemem jest nieobecność tej koncepcji w aktualnym dyskursie naukowym na temat edukacji, co może utrudniać rozumienie całego spektrum koniecznych oddziaływań psychologicznych jako warunku skuteczności wszelkich zabiegów wychowawczych.
PROCES WYWODU: 1. Opis i analiza czterech uniwersalnych psychologicznych mechanizmów nadawania i odbioru wpływów wychowawczych. 2. Zarysowanie kontekstu i niektórych kierunków zmian doświadczeń edukacyjnych współczesnych dzieci i młodzieży. 3. Podkreślenie głównych zmian w transmisji i odbiorze wpływów wychowawczych z perspektywy psychologicznej.
WYNIKI ANALIZY NAUKOWEJ: Uwydatnienie teoretycznej i praktycznej użyteczności koncepcji mechanizmów transmisji wpływów wychowawczych i ich roli jako kompleksowego systemu narzędzi w kontekście celowej działalności wychowawców.
WNIOSKI, REKOMENDACJE I APLIKACYJNE ZNACZENIE WPŁYWU BADAŃ: Ponowna refleksja nad tymi procesami może pomóc w zrozumieniu i rozwijaniu relacji między współczesnymi wychowawcami a młodym cyfrowym pokoleniem wobec wyzwań, jakie stają przed wychowawcami dzieci i młodzieży w XXI wieku.
DIGITAL NEWS CLASSIFICATION AND PUNCTUACTION USING MACHINE LEARNING AND TEXT MINING TECHNIQUES
Authors: CEVALLOS SALAS Fernando Andrés
Published: June 2024

Persistent growth of information in recent decades, along with the development of new information technologies for its management, have made it essential to develop systems that allow to synthesize this massive information or better known as big data. In this article, a feedback based system for massive processing of digital newspapers is presented. This system synthesizes the most relevant information from different news stories obtained from several sources. System is fed with information from the Internet using web scraping techniques. All this information is stored in a data lake which has been implemented using NoSQL databases. Next, data processing is performed, focusing on words, their relevance, and their correlation with other words from related content groups or headlines. In order to perform this aggrupation, machine learning Large Language Model (LLM), K Nearest Neighbors (KNN) and text mining techniques are used. New text mining algorithms are also developed to adjust thresholds during content aggregation and synthesis. Finally, the results visualization mechanism is presented which allow users to give a punctuation to the news stories. This mechanism represents a feedback punctuation for the system which will be considered into the global punctuation, which is the basis to show the results. This system can be useful to summarize all the information contained in the news stories which are stored in Internet, providing users a fast way to be informed.
EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HUMANROBOT COOPERATION IN THE CONTEXT OF INDUSTRY 4.0
Authors: ASAAD Hawkar , ASKAR Shavan , KAKAMIN Ahmed , FAIQ Nayla
Published: June 2024

The function of Artificial Intelligence (AI) in Human-Robot Cooperation (HRC) in Industry 4.0 is unequivocally important and cannot be undervalued. It uses Machine Learning (ML) and Deep Learning (DL) to enhance collaboration between humans and robots in smart manufacturing. These algorithms effectively manage and analyze data from sensors, machinery, and other associated entities. As an outcome, they can extract significant insights that can be beneficial in optimizing the manufacturing process overall. Because dumb manufacturing systems hinder coordination, collaboration, and communication among various manufacturing process components. Consequently, efficiency, quality, and productivity all suffer as a whole. Additionally, Artificial Intelligence (AI) makes it possible to implement sophisticated learning processes that enhance human-robot collaboration and effectiveness when it comes to assembly tasks in the manufacturing domain by enabling learning at a level that is comparable to human-human interactions. When Artificial Intelligence (AI) is widely applied in Human-Robot Cooperation (HRC), a new and dynamic environment for human-robot collaboration is created and responsibilities are divided and distributed throughout social and physical spaces. In conclusion, Artificial Intelligence (AI) plays a crucial and indispensable role in facilitating effective and efficient Human-Robot Cooperation (HRC) within the framework of Industry 4.0. The implementation of Artificial Intelligence (AI)-based algorithms, encompassing deep learning, machine learning, and reinforcement learning, is highly consequential as it enhances human-robot collaboration, streamlines production procedures, and boosts overall productivity, quality, and efficiency in the manufacturing industry.
EVALUATING THE PERFORMANCE OF BITCOIN PRICE FORECASTING USING MACHINE LEARNING TECHNIQUES ON HISTORICAL DATA
Authors: Ahmed Mamun , Suha Sayma Alam , Hossain Mahi Fahamida , Uddin Ahmed Forhad
Published: June 2024

Since entering the market in 2009, Bitcoin has had a price that is extremely erratic. Its price is influenced by factors such as adoption rates, regulatory changes, geopolitical occurrences, and macroeconomic developments. Experts believe that Bitcoin's price will rise in the long run due to limited supply and rising demand. Therefore, the aim of this study is to propose an ensemble feature selection and machine learning-based approach to predict bitcoin price. For this research purpose, the cryptocurrency-based dataset has been used, visualized, and preprocessed. Five different feature selection approaches (Pearson, RFE, Embedded Random Forest, Tree-based and Light GBM) are followed by ensemble methodology, with the maximum voting approach to extract the most significant features and generate a dataset with reduced attributes. Then the dataset with or without feature selection is used for bitcoin price prediction by applying ten different machine learning regressing models, which includes six traditional, four bagging and boosting ensemble techniques. The comparative result analysis through multiple performance parameters reveals that the decreased number of features improves the performance for each of the models and the ensemble models outperform other types of models. Therefore, Random Forest regression ensemble ML model can get the best prediction accuracy with 0.036018 RMSE, 0.029470 MAE and 0.934512 R2 employing the dataset with reduced features for estimating the value of bitcoin.
JUSTIFICATION OF THE POSSIBILITY OF BUILDING AN INTEGRATED ULTRASONIC MEASURING TRANSDUCER OF NATURAL GAS CONSUMPTION
Authors: Bilynsky Yosyp , Stetsenko Аndrii , Ogorodnik Konstantin
Published: June 2024

The paper establishes the feasibility of constructing an integrated ultrasonic measuring transducer for measuring natural gas consumption. Various schemes for combining ultrasonic transducers with flow conditioning devices, along with several natural gas parameter measuring transducers, were analyzed. The design of an integrated ultrasonic meter that eliminates the need for a standard straight pipeline section and external jet straightener was explored. Simulations of 4-beam ultrasonic meters with known local resistances and the integrated ultrasonic meter were conducted using SolidWorks. The comparative analysis revealed the advantages of the proposed integrated ultrasonic meter.
NUMERYCZNE BADANIE MOŻLIWOŚCI WYKORZYSTANIA POŁĄCZEŃ KLEJOWYCH DO POŚREDNICH POMIARÓW ROZKŁADU NAPRĘŻENIA
Authors: Kisała Piotr , Wiśniewski Paweł
Published: June 2024

Artykuł poświęcono badaniu możliwości wykorzystania połączeń klejowych do pomiarów pośrednich rozkładu naprężenia, biorąc pod uwagę współczesne metody badania rozkładu naprężenia, w tym badania przy pomocy światłowodowych czujników naprężenia. Do obliczenia rozkładu naprężenia wykorzystano metody numeryczne, a w szczególności metodę elementów skończonych. Przeprowadzone badania opisano uwzględniając następujący porządek – po pierwsze zaprezentowano wstępne założenia dotyczące modeli próbek i parametrów symulacji, następnie opisano przebieg symulacji, a ostatecznie przeprowadzono analizę uzyskanych wyników. Kontrolną symulację przeprowadzono na próbce podstawa-klej-światłowód, która z powodu trudności w ocenie charakterystyki naprężenia została powtórzona w celu obliczenia odkształcenia możliwego do przeliczenia na naprężenie. Ostateczne wyniki wraz z współczynnikami określającymi miarę zgodności charakterystyk zostały przedstawione w formie wykresów oraz tabeli.
PERFORMANCE EVALUATION FOR FACE MASK DETECTION BASED ON MULT MODIFICATION OF YOLOV8 ARCHITECTURE
Authors: AL-Shamdeen Muna , Ramo Fawziya Mahmood
Published: June 2024

This work aims to engineer a robust system capable of real-time detection, accurately discerning individuals who are either adhering to or neglecting face mask mandates, across a diverse range of scenarios encompassing images, videos, and live camera streams. This study improved the architecture of YOLOv8n for face mask detection by building a new two-modification version of YOLOv8n model to improve feature extraction and prediction network for YOLOv8n. In proposed YOLOv8n-v1, the integration of a residual Network backbone into the YOLOv8n architecture by replacing the first two layers of YOLOv8n with ResNet_Stem and ResNet_Block modules to improve the model’s ability for feature extraction and replace Spatial Pyramid Pooling Fast (SPPF) module with Spatial Pyramid Pooling-Cross Stage Partial (SPPCSP) modules which combine SPP and CSP to create a network that is both effective and efficient. The proposed YOLOv8n-v2 is built by integration Ghostconv and ResNet_Downsampling modules into the proposed YOLOv8n-v1 backbone. All models have been tested and evaluated on two datasets. The first one is MJFR dataset, which contains 23,621 images, and collected by the authors of this paper from four distinct datasets, all of which were used for facemask detection purposes. The second one is MSFM object detection dataset has been collected from groups of videos in real life and images based on the curriculum learning technology. The model’s performance is assessed by using the following metrics: mean average precision (mAP50), mAP50-95, recall (R) and precision (P). It has been concluded that both versions of proposed YOLOv8n outperform the original model in terms of accuracy for both datasets. Finally, the system was successfully implemented in one of the medical clinics affiliated with a medical complex, where the results of its application showed high efficiency in various aspects of work, and it effectively contributed to improving the public health and safety.
IoT FOR PREDICTIVE MAINTENANCE OF CRITICAL MEDICAL EQUIPMENT IN A HOSPITAL STRUCTURE
Authors: Guissi Maroua , El Yousfi Alaoui My Hachem , Belarbi Larbi , Chaik Asma
Published: June 2024

Predictive maintenance (PdM) allows the prediction of early failures of medical equipment before they occur. It helps to diagnose the defaults of critical equipment in a hospital structure, namely MRI. Founded on the analysis of data collected in real time of the right parameters, thanks to intelligent sensors positioned on the equipment, using Internet of Things (IoT) technology and the practice of machine learning tools. The objective of this techniques is the implementation of algorithms capable to predict an anomaly, which will make equipment and maintenance tools increasingly autonomous and intelligent. Therefore, the idea of this project is to develop a wireless sensor network to ensure continuous monitoring of the state of MRI. The implemented solution includes an IoT monitoring system of the cold head’s cooling circuit. Based on the vibrations at the pump, it allows to monitor the motor circuit, inform the staff at each abnormal state of this system, and protect this device against any future anomalies. Thanks to the CNN algorithm implemented in this solution, the results are very satisfactory, with an accuracy >98%. This solution can be integrated into a general predictive maintenance solution for the most sensitive equipment in a hospital.
A COYOTE-INSPIRED APPROACH FOR SYSTEMIC LUPUS ERYTHEMATOSUS PREDICTION USING NEURAL NETWORKS
Authors: Mummaneni Sobhana , Dodda Pragathi , Ginjupalli Naga Deepika
Published: June 2024

Systemic Lupus Erythematosus (SLE) is a complicated autoimmune disease that can present with a variety of clinical symptoms, making precise prognosis difficult. Because SLE has a wide range of symptoms and may overlap with other autoimmune and inflammatory disorders, making a diagnosis can be challenging. This study creates a precise and accurate model for the prediction of SLE using the GEO dataset. For cost-effective data collection and analysis, feature selection might be essential in some applications, particularly in healthcare and scientific research. The strength of Artificial Neural Networks (ANN) for Systemic Lupus Erythematosus prediction and the Coyote Optimization Algorithm (COA) for feature selection are combined in this study. The COA is an optimization method influenced by nature and coyote hunting behavior. This study attempts to improve the effectiveness of subsequent predictive modeling by using COA to identify a subset of significant features from high-dimensional datasets linked to SLE. A Multi-layer Feed-forward Neural Network, a potent machine learning architecture renowned for its capacity to discover complex patterns and correlations within data, is then given the chosen features. Because the neural network is built to capture SLE's intricate and non-linear structure, it offers a reliable foundation for precise classification and prediction. The accuracy of the COA-ANN model was 99.6%.
Comparative analysis of the implementation performance using selected scripting languages in the Godot game engine
Authors: Alchimowicz Sebastian , Plechawska-Wójcik Małgorzata
Published: June 2024

This article describes a comparative analysis of the implementation performance of selected scripting languages on the Godot game engine. In order to analyze the implementation of scripting languages, research scenarios were designed in which the scripts were written in a similar way to facilitate the analysis of the performance of their implementation. The study took into account parameters such as the execution time of a given script, processor time and the amount of RAM used. Based on the results obtained, averages were determined and presented in charts to facilitate their interpretation. The conducted research allowed for a comparative analysis between scripting languages. The analysis showed that each language is better suited for different types of projects, with GDScript being better for smaller projects and C# for more complex projects.
Comparative analysis of the performance of selected database management system
Authors: Tracz Piotr Marcin , Plechawska-Wójcik Małgorzata
Published: June 2024

Currently, in the era of large amounts of generated data, a significant challenge is fast data processing. The aim of the article is to conduct a comparative analysis of the performance of relational and non-relational databases using MS SQL Server, MongoDB, and CouchDB as examples. The comparison was carried out based on developed research scenarios designed to examine the execution time of CRUD operations. A performance ranking of databases was established based on the obtained results, with SQL Server taking the first place, MongoDB the second, and CouchDB the third. For the operations of deletion, downloading, and updating of data, MS SQL Server proved to be the most efficient database. Only in the operation of inserting data did MongoDB turn out to be the most efficient database.
Analysis of Compliance with WCAG Guidelines Regarding Contrast Im-plementation in an E-Learning Quiz
Authors: Dziedzic Krzysztof , Barszcz Marcin , Wiśniewski Tomasz
Published: June 2024

In the process of distance learning, modern information and educational solutions are increasingly employed. The introduction of tools facilitating compliance with WCAG guidelines to course creators, enhances content accessibility for individuals with disabilities, eliminating barriers to education access. This aligns with the concept of universal design, aiming to create courses and instructional materials accessible to a broad audience, regardless of individual needs, abilities or conditions. While this is a standard in web design, it is often overlooked in distance learning and course de-sign. This paper focuses on analyzing the correctness of implementing a component allowing the assessment of WCAG compliance in designed quizzes using an exercise creator. The implementation was based on the Quizer e-learning plat-form. Quizzes in the field of cybersecurity were designed to meet contrast guidelines according to the WCAG 2.1 stand-ard, followed by user testing. The research results confirmed the correctness of the applied solutions and emphasized the necessity of designing IT tools considering potential disabilities of future users of e-learning quizzes.
Comparison of Laravel and Symfony - the most popular PHP frame-works, based on a simple CRUD application
Authors: Gajewski Patryk , Dzieńkowski Mariusz
Published: June 2024

The main purpose of the study is to compare the performance of two popular PHP language programming frameworks - Laravel 10 and Symfony 6 based on test CRUD-type applications. The benchmarking also considered the implementation process and support from the development community. The study was conducted using two simple and small test applications with the same sets of functionality. Performance was measured based on the execution times of single CRUD-type operations and handling dozens and hundreds of requests simultaneously. Execution times were measured via the Postman application from when the request was sent to the server until the response was received. The results showed that Symfony 6 is a better solution for applications where performance matters.
Analysis of the usability of selected auction websites
Authors: Duwer Adrian , Dzieńkowski Mariusz
Published: June 2024

The selection and use of an e-commerce service can be conditioned by its properties such as ease of use, intuitiveness, productivity, offered functionalities, and aesthetic appeal. Within this study, the usability of three popular auction websites: eBay, Amazon, and Allegro, was examined. Selected interfaces of these websites and the ways in which users use them were analyzed. For this purpose, an experiment was prepared and conducted consisting of two parts: a survey and eye-tracking tasks. The obtained results indicate differences in usability among the websites. Suggestions provided by users show that despite the popularity of each of these well-known services, there are still some of their elements that require improvement and enhancement.
Comportamento do número de condicionamento na Formulação Variacional Ultra Fraca, com funções de Bessel como base para a equação de Helmholtz não homogênea
Authors: Barros Filho Julius Monteiro de , Ferreira Fernanda Lúcia Sá , Cruz Amaury Alvarez , Vigo Daniel Gregorio Alfaro
Published: June 2024

A Formulação Variacional Ultra Fraca (Ultra Weak Variational Formulation - UWVF) se apresenta como uma metodologia promissora para a simulação de vários fenômenos ondulatórios. No entanto, o sistema linear oriundo da discretização dessa formulação pode ser bastante mal condicionado, comprometendo assim as estratégias para a estimativa de erro da solução aproximada. Nesta pesquisa, é feita uma análise do condicionamento do sistema linear subjacente em relação à escolha de certas famílias de funções de base, incluindo as clássicas ondas planas, na UWVF aplicada a um problema de valor de contorno (PVC) para a equação de Helmholtz. Dentre as famílias implementadas, a formada por ondas cilíndricas baseadas em funções de Bessel, escaladas com um fator global também baseado em função de Bessel, se destacou por implicar em um número de condicionamento bastante menor do que os produzidos pelas demais famílias. Esse destaque foi observado em todos os experimentos numéricos realizados, tanto para o caso da equação Helmholtz homogênea quanto para o caso não homogêneo, variando-se tanto o número de funções da família em questão quanto o refinamento das malhas computacionais utilizadas.
Strategi Akselerasi Pertumbuhan Industri Halal melalui Peran Aktif Perbankan Syariah
Authors: I Nyoman Budiono
Published: June 2024

The Halal Industry is an industry based on Islamic sharia starting from raw materials, management processes to producing products so that the products are halal and good for consumption. The purpose of writing this article is to find out the development of the Halal Industry in Indonesia, the steps taken by the Government in advancing the Halal Industry, and to encourage Islamic Banking to play an active role in accelerating the growth of the Halal Industry. The research methodology used by the author in this article is library research in the form of a literature review in which the overall search results are explained and described in detail and narrative. The results of the study show that the growth of the Halal Industry has increased 2.5 times since being handled by BPJPH, but it needs to continue to be accelerated considering the enormous potential of the Halal Industry. The government has taken steps to accelerate the growth of the Halal Industry, namely by perfecting the provisions for Halal Certification by issuing Law no. 33 of 2014 followed by Government Regulation no. 31 of 2019 was updated with the presence of Law no. 11 of 2020 Concerning Job Creation. The government has also established a Halal Product Assurance Organizing Body (BPJPH) which is tasked with administering Halal Product Assurance. The government also encourages existing institutions to support the growth of the Halal Industry. The strategy for accelerating the growth of the Halal Industry can be carried out by encouraging the Active Role of Islamic Banking in supporting the growth of the Halal Industry through the role of its products. Sharia banking also needs to increase good cooperation with BPJPH, LPH and other institutions in accelerating the body of the Halal Industry in Indonesia.
Strategi Pemasaran dalam Meningkatkan Minat Nasabah BSI KCP Enrekang (Analisis Manajemen Pemasaran Syariah)
Authors: Yunus Yuli Hardani , Bahri Andi , Nurfitriani
Published: June 2024

Secara umum topografi wilayah didominasi oleh perbukitan/pegunungan. Kondisi ini menjadi salah satu kendala yang di hadapi oleh BSI KCP Enrekang untuk menarik masyarakat menjadi nasabah. Masih banyak daerah yang belum tersentuh jaringan sehingga membuat pegawai terkendala dalam berkomunikasi. Penelitian ini bertujuan untuk mengetahui strategi pemasaran BSI KCP Enrekang dalam menarik minat nasabah dan analisis manajemen pemasaran syariah terhadap strategi BSI KCP Enrekang dalam menarik minat nasabah. Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian dekskriptif kualitatif. Adapun pendekatan yang dipakai adalah pendekatan fenomenologis. Data yang digunakan dalam penelitian ini adalah data primer dan data sekunder, dengan tehnik pengumpulan data yang dilakukan menggunakan teknik observasi, wawancara dan dokumentasi. Hasil penelitian menunjukkan bahwa (1) Strategi pemasaran yang dilakukan oleh BSI KCP Enrekang adalah dengan menggunakan Strategi pemasaran dengan menggunakan segmentation, targeting, positioning pada produk wadiah terkait segmentasi pasar bahwa BSI KCP Enrekang hanya mengadopsi pendekatan segmentasi pasar yang berfokus pada aspek demografik, geografis, dan sosioekonomi untuk memahami karakteristik dan kebutuhan nasabah dan pelanggan di wilayah Enrekang. BSI KCP Enrekang memiliki dua target pasar untuk meningkatkan pemasaran produk mereka yaitu Target pasar kredit dan pendanan, posisi pasar yang mencakup pangsa pasar syariah, kesadaran merek, loyalitas nasabah, citra dan kepercayaan, inovasi produk, persepsi harga, serta jangkauan dan pelayanan, BSI KCP Enrekang dapat mengevaluasi posisinya di pasar keuangan syariah di wilayah tersebut. (2) Manajemen pemasaran syariah terdiri atas fungsi perencanaan,fungsi pengorganisasian, fungsi pengarahan dan implementasi dan fungsi pengawasan dan pengendalian. Semua fungsi tersebut menerapkan prinsip muamalah yaitu bank syariah telah menghindari unsur riba yang sejalan dengan prinsip ta’awun, unsur zalim, unsur gharar, unsur maysir, sedangkan unsur haram dapat dikategorikan bahwa ketika bank telah menjauhi unsur riba, maysir dan gharar maka unsur haram telah tiada.
Pengaruh Financial Literacy dan Disposible Income terhadap Minat Menabung Pedangang Kaki Lima di Bank Syariah
Authors: Ramadhani Latifa
Published: June 2024

Bank syariah ialah lembaga keuangan yang menjunjung tinggi aturan syariah. Kerangka keuangan islam berpegang teguh pada gagasan pembagian keuntungan. Penelitian ini bertujuan untuk menganalisis dampak Financial Literacy dan Disposible Income terhadap Minat Menabung Pedagang Di Bank Syariah. Penelitian ini termasuk dalam kategori penelitian kuantitatif, dengan menggunakan metode asosiatif. Pengambilan sampel menggunakan jumlah seluruh populasi, dikarena total seluruh populasi kurang dari 100 orang. Data primer yang dipakai ialah tanggapan terhadap kuisioner yang dibagikan kepada responden. Hasil pengujian hipotesis menunjukkan bahwa variabel financial literacy dan disposible income secara simultan berpengaruh terhadap minat menabung pedagang di bank syariah, dengan nilai signifikan 0,025 < 0,05. Secara parsial variabel financial literacy berpengaruh signifikan terhadap minat menabung pedagang di bank syariah, dengan nilai signifikan 0,042 < 0,05. Kemudian variabel disposible income berpengaruh signifikan terhadap minat menabung pedagang di bank syariah, dengan nilai signifikan 0,020 < 0,05. Dapat ditarik kesimpulan dari penelitian ini bahwasanya financial literacy dan disposible income memiliki pengaruh terhadap minat menabung pedagang di bank syariah sebesar 10,9% dan 89,1% dipengaruhi oleh variabel lain yang tidak dimasuk dalam penelitian ini. Hal ini tentunya dapat memberikan kontribusi kepada bank syariah agar dapat membuat strategi bagi perilaku nasabah untuk dapat menarik calon nasabah khususnya pedagang kaki lima untuk menabung di bank syariah.
Strategi Pengembangan Usaha Mikro Kecil dan Menengah (UMKM) Berbasis Collaborative Governance di Desa Pananrang Kecamatan Mattiro Bulu
Authors: Sari Sefryana
Published: June 2024

This thesis examines the activities of Micro, Small, and Medium Enterprises (MSMEs) in conducting business, the challenges faced by MSMEs in business development, and the forms of collaborative governance implemented in MSMEs in Pananrang Village. This is based on the decline in MSME development and the importance of collaborative governance in MSME development. The main issues in this research are (1) How do MSME actors conduct business? (2) What challenges did MSMEs face in developing their businesses? (3) How was collaborative governance implemented in MSMEs in Pananrang Village?The research method used is qualitative research with a case study approach. The data sources are MSME actors and the Cooperative and Small and Medium Enterprises Agency, as well as the Investment and Integrated One-Stop Service Agency. Data collection tools include interview guidelines, and data collection techniques involve observation, interviews, and documentation. Data validity is tested using triangulation techniques.Research findings: (1) MSME actors in Pananrang Village are classified as micro-businesses with a maximum income of Rp200,000,000 per year. In Pananrang Village, there were 47 businesses, but only 4 types of businesses were based on collaborative governance. (2) The challenges faced by MSME actors in developing their businesses included: (a) Quantity and quality of Human Resources (HR) were insufficient, (b) Limited technology and lack of innovation in products, (c) Marketing management did not meet operational standards and lacked business partners, and (d) Lack of capital for business development. (3) Collaborative governance was carried out by the Cooperative and Small and Medium Enterprises Agency through programs such as (a) Coaching, providing material on how to develop a business, (b) Assistance in finding business partners for MSMEs, (c) Financial assistance, providing capital for business development, and (d) Creating a business climate, providing quick and free business permits for MSMEs. Meanwhile, the Investment and Integrated One-Stop Service Agency had the Close Relations program, which included one-day seminars on business development and financial support for MSMEs in Pinrang Regency. The analysis results showed business development for MSMEs for those who followed collaborative governance procedures.
Keywords: Collaborative Governance, Development, Micro, Small, and Medium Enterprises (MSMEs)
Etika Bisnis Dalam Manajemen Bisnis Roti Maros Guna Mewujudkan Peningkatan Keharmonisan Sosial
Authors: Hidayat Ihsan , Irwan Misbach  , Syahruddin  , Syahrir D Mallongi  , Awaluddin
Published: June 2024

Islam with its universal teachings has laid down the concept of human life so that it can run well, including business mechanisms in doing business. Maros is one of the cities that has entrepreneurs operating in the same field and type, namely Maros Roti Culinary. This research is descriptive qualitative research. The results of this research prove that Maros entrepreneurs really understand Sharia Business Ethics and they apply it in their business management. Five management principles are adapted to Sharia business ethics. The dominance of the same business in Maros Regency actually creates harmony between business people. They support each other through Public Transport Partners. Every driver who partners will get free drinks and food and get a bonus if each driver brings a lot of passengers to shop at the Maros Bakery. This is uniquely healthy competition for Maros Roti Entrepreneurs.
Analisis Strategi Pemasaran Experiential Marketing Produk Telkomsel Orbit di PT. Telkomsel Regional Jateng-DIY
Authors: Pramudhita Abimanyu Cahya , Sukresna I Made
Published: June 2024

Adanya internet sebagai platform komunikasi dan sumber informasi telah mengubah cara individu berinteraksi dengan dunia di sekitarnya. Internet membuka pintu lebar akses ke berbagai sumber daya dan pengetahuan yang sebelumnya yang sulit dijangkau. Penyedia jasa internet di wilayah Indonesia salah satunya adalah PT Telekomunikasi Selular, yang umumnya dikenal sebagai Telkomsel dengan salah satu produk layanan internet yang bernama Telkomsel Orbit.  Penelitian ini ingin melihat apakah ada experiential marketing yang sudah disampaikan oleh Telkomsel Orbit sehingga membentuk customer journey map yang baik sehingga produknya dapat diterima oleh masyarakat yang sudah terbiasa dengan internet fiber optic, seperti IndiHome, yang merupakan produk Telkomsel juga. Metode penelitian ini menggunakan penelitian kualitatif dengan melakukan wawancara terhadap narasumber dari pihak manajemen dan 3 narasumber yang sudah menjadi pelanggan Telkomsel Orbit. Dari hasil wawancara tersebut, ditemukan bahwa Telkomsel Orbit sudah melakukan berbagai macam strategi pemasaran dengan experiential marketing dengan membuat titik sentuh pada pemasaran digital dan non-digital. Pihak Telkomsel Orbit percaya diri bahwa mereka sudah memberikan customer journey map yang baik untuk pelanggannya sehingga pelanggan dapat dengan mudah mengakses produk saat proses menimbang hingga melakukan pembelian.
NLP-Based Fault Detection Method for Multifunction Logging-While-Drilling Services
Authors: Panait Corina , Vasquez Nahieli , Mosallam Ahmed , Mansoor Hassan , Arun Yadav Anup , Ben Youssef Fares , Su Qian , Kyrgyzov Olexiy
Published: June 2024

This paper presents a Natural Language Processing (NLP) method aimed at detecting faults within field failure reports of drilling tools. It builds on the definition of entities specifically matched to our unique requirements. These entities have been annotated within the dataset under the guidance of a Subject Matter Expert (SME), laying a foundation for our NLP method. By utilizing a model based on bidirectional encoder representations from transformers, the method achieves an F1-score of 88\% in identifying entities and consequently detecting faults within field failure reports. This work is part of a long-term project aiming to construct a failure analysis and resolution system for drilling tools.
A novel prognostics solution for accurate identification of degradation patterns in turbo machines with variable observation window
Authors: Allegorico Carmine , Mordacci Gabriele , Hasbullah Aidil Fazlina , Nadia Jaafar Fahzziramika Nadia Jaafar , Allegorico Carmine , Ruggiero Gionata
Published: June 2024

The degradation of a system is a time bound phenomenon, which leads to the deterioration of turbomachinery, in terms of performance and reliability. If undetected and not acted upon in time, this could also lead to sudden system failure, resulting in unplanned unit downtime and maintenance. Unplanned downtime of a turbomachine leads to severe production loss for the end customer and consequent economic damages. Early detection of a degradation pattern would provide the customer with the opportunity to timely carry out corrective actions, preventing an unscheduled down time. The paper evaluates degradation identification methodology currently known from literature and finds them not accurate enough for general purpose application required by the solution. The paper discusses a novel methodology which can accurately detect degradation patterns of timeseries data. Critical features of this methodology are novel time-based correlation enabled regression model with variable observation window, autonomous training, and automatic adjusting capability to incorporate operating behavior change or physical system replacement. This leads to high accuracy, high generalization, and domain agnostic application capability. Moreover, particular focus is given to achieving high probability of detection and a low probability of false alarm. The paper demonstrates the performance achieved by the methodology when applied to the field of prognostics and diagnostics of IoT connected turbomachines through 50+ real application cases.
Arquivos de dança no Brasil e a performatividade do passado
Authors: Santos Rafael Guarato dos
Published: June 2024

Este artigo consiste em numa revisão bibliográfica acerca do debate sobre arquivos de dança, entrecruzando-os com reflexões que atravessaram minha própria formação e trajetória como historiador da dança que realiza pesquisas a partir de um local específico, o Brasil. Os arquivos de dança no Brasil [sempre no plural] apresentam características e modus operandi consideravelmente diferentes uns dos outros, tornando bastante peculiar toda relação entre artistas e documentos e/ou entre pesquisadores acadêmicos e documentos. Embora a proposta possa parecer localizada, penso que há um potencial de generalização dos debates aqui propostos, uma vez que eles reconhecem algo que frequentemente atravessa textos históricos, opiniões de artistas e artigos sobre estudos de dança, tanto no Brasil quanto internacionalmente, que consiste em lidar com o próprio arquivo como um referente para um discurso que pode aspirar à verdade e fornece um vínculo material com o passado.
Simulasi Konfigurasi Posisi Burner untuk Mengoptimalkan Heat Treatment Pressure Vessel
Authors: Solichi Azis , Suwandono Purbo , Ismail Nova Risdiyanto , Wicaksono Leo Hutri
Published: June 2024

Pengelasan memiliki peran penting dalam proses manufaktur dan produksi. Tegangan sisa yang ditinggalkan oleh pengelasan dapat menciptakan peluang terjadinya retak akibat hydrogen. Untuk mencegah hal ini, tegangan sisa dapat dikurangi yaitu dengan cara PWHT. Penelitian ini dilakukan bertujuan untuk menganalisa posisi burner yang mempengaruhi ketercapaian atau pengoptimalan temperature, velocity, dan pressure saat proses PWHT berlangsung. Metode yang digunakan CFD (Computational Fluid Dynamics) salah satu cabang dari mekanika fluida yang menggunakan numerik dan algoritma untuk menyelesaikan dan menganalisis permasalahan yang berhubungan dengan aliran fluida Berdasarkan penelitian, nilai paling optimal  untuk temperature ada pada inlet 2 yang lebih cepat mencapai titik 635 °C dengan waktu 310 second atau 5,16 menit, untuk velocity ada pada inlet 2 karena hasil lebih konstan arah pergerakannya dan tidak terlalu cepat namun memberikan hasil pada temperature yang lebih optimal nilai rata-rata kecepatan adalah 2,7 m/s, sedangkan untuk pressure ada pada model 2, dimana tekanan lebih stabil, tidak mengalami penurunan tekanan yang naik terus dan kemudian dilanjut dengan konstan dan tidak ada penurunan yang secara extream, nilai rata-rata dari pressure tersebut adalah 101358 Pa.
AKTIVITAS KOMERSIAL SEBAGAI BENTUK ADAPTASI DAN INISIASI RUANG KEWIRAUSAHAAN DI LINGKUNGAN PERUMAHAN. STUDI KASUS: KELAPA GADING TIMUR
Authors: Darmady Irene Syona , Jayanti Theresia Budi , Mustaram Agnatasya Listianti
Published: June 2024

Pertumbuhan angka penduduk yang meningkat pesat beriringan dengan pembangunan suatu wilayah. Hal ini dapat dilihat secara nyata dari pertumbuhan kota metropolitan seperti DKI Jakarta. Pembangunan suatu kota diinisiasikan oleh pemerintah maupun pengembang. Pembangunan ini difokuskan untuk memfasilitasi penduduk dan menjamin kesejahteraan penduduk. Namun, upaya pemerintah dan pengembang sendiri masih meliki kekurangan sehingga penduduk secara aktif harus mampu beradaptasi dengan dinamika pertumbuhan kota metropolitan itu sendiri. Upaya yang dilakukan penduduk secara sadar adalah dengan memanfaatkan ruang kota sebagai komoditas. Salah satu ruang yang paling sering dianggap sebagai komoditi hingga dialih fungsikan oleh penduduk adalah lahan dengan fungsi hunian. Konversi fungsi dan bercampur dengan aktivitas komersial dalam lahan yang sama kerap kali terjadi. Tanah dianggap menjadi bentuk aktualisasi diri dari ruang atau tempat yang dimanfaatkan untuk kegiatan yang memiliki nilai komersialisasi lebih tinggi. Kelapa Gading Timur merupakan objek studi nyata yang banyak mengalihfungsikan lahan hunian menjadi komersial dengan bentuk aktivitas usaha sektor makanan. Kumpulan aktivitas komersial makanan pada lahan hunian tersebut membentuk sebuah pola khusus pada ruang kota. Kini terlihat status dan perananannya menjadi sebuah aktivitas pendukung bagi perumahan di kawasan Kelapa Gading Timur. Studi ini dilakukan untuk mengidentifikasi jenis aktivitas komersial sebagai hasil dari perubahan fungsi lahan hunian di kawasan Kelapa Gading Timur. Metode obsevasi lapangan, kategorisasi tipe digunakan untuk memahami kondisi dan karakteristik pola perubahan.
PENERAPAN RUMAH TUMBUH PADA RUMAH TINGGAL DESA RANU PANI
Authors: Azmi Sani , Wulandari Lisa Dwi , Yusran Yusfan Adeputra
Published: June 2024

Desa Ranu Pani merupakan desa enclave yang dikeliingi oleh lahan konservasi Taman Nasional Bromo Tengger Semeru. Dampaknya adalah pengembangan lahan yang sulit dilakukan oleh masyarakat yang mengandalkan pertanian ladang. Dari jumlah total luas lahan Desa Ranu Pani hanya kurang dari 2% lahan pemukiman. Penduduk yang bertambah namun lahan pemukiman yang tersedia semakin berkurang. Penerapan rumah tumbuh menjadi solusi bagi masyarakat untuk mencapai hunian impian namun dengan pembangunan yang bertahap. Sebagai desa Tengger yang memiliki ciri khas arsitektur tersendiri, penelitian ini menjadi menarik tentang bagaimana masyarakat mengembangkan hunian namun tetap memenuhi kebutuhan dasar dan tetap menyesuaikan kearifan lokal. Penelitian ini berupa penelitian deskriptif kualitatif dengan mengambil sampel yang relevan. Hasil dari penelitian ini menyebutkan terdapat dua jenis rumah tumbuh yang ada. konsep rumah tumbuh vertikal bagi rumah yang memiliki lahan sempit dan konsep rumah tumbuh horizontal bagi rumah yang memiiki pekarangan dan plataran luas..
KONSEP GREEN SETTLEMENT DALAM PENATAAN PERMUKIMAN PADAT PENDUDUK
Authors: Budi Susanti Debby , Sukowiyono Gaguk
Published: June 2024

Permukiman masyarakat kampung kota yang sebagian besar memiliki kondisi padat penduduk sangat rawan untuk mendapat julukan sebagai permukiman kumuh karena minimnya fasilitas terkait utilitas yang dirancang sebelumnya oleh pemerintah setempat. Hal tersebut masih ditambah lagi dengan kondisi masyarakat kampung kota yang sebagian besar berada pada level menengah ke bawah atau yang lebih dikenal dengan sebutan masyarakat berpenghasilan rendah (MBR), sehingga sangat membutuhkan bantuan dari pihak lain misalnya pemerintah daerah dan para akademisi untuk memberikan konsep penataan permukiman yang lebih baik dengan menyesuaikan kemampuan yang dimiliki oleh penduduk yang bermukim di daerah tersebut. Konsep hunian yang mampu mengatasi permasalahan yang dihadapi secara mandiri yang memiliki konsep green-settlement diharapkan mampu menjadi solusi terbaik untuk permasalahan masyarakat.
KAJIAN KONDISI PEMUKIMAN JOYO RAHARJO RW 02 MALANG
Authors: Komang Ayu Laksmi Harshinta Sari  , Antonio Heltra Pradhana
Published: June 2024

Pemukiman Joyo Raharjo, kelurahan Merjosari adalah pemukiman padat penduduk yang salah satu penyebabnya adalah semakin meningkatnya pendatang baru di Kota Malang. Lokasinya yang dekat dengan kawasan Pendidikan mempengaruhi meningkatnya usaha jasa hunian berupa kos-kosan disekitarnya. Hal tersebut berdampak pada situasi lingkungan hunian di sepanjang sungai kecil yang terdapat pada pemukiman Joyo Raharjo. Tujuan penelitian adalah mengkaji kondisi lingkungan pada Pemukiman Joyo Raharjo RW 02  terutama hunian disepanjang aliran sungai kecil dengan memperhatikan visual keadaan hunian, ketersediaan air bersih, fasilitas MCK, Pengelolaan sampah dan pengelolaan limbah cair. Metode yang digunakan yaitu metode kualitatif dengan pengambilan data melalui observasi dan wawancara. Hasil yang dicapai berupa penilaian deskriptif tentang elemen pemukiman dimana yang menjadi permasalahan utama adalah kondisi sanitasi makro maupun mikro.
REFLEKSI PEDAGOGI KRITIS KEGIATAN KKN TEMATIK KAMPUS MERDEKA PROGRAM STUDI ARSITEKTUR DI DESA BATURETNO
Authors: Iqbal Muhammad Nelza Mulki , Bayu Teguh Ujianto  , Antonio Heltra Pradhana
Published: June 2024

Pembahasan terkait metode belajar diluar studio cukup jarang dibahas di diskursus pendidikan arsitektur di Indonesia. Padahal sebagai metode pembelajaran alternatif, metode belajar luar studio mampu memberikan berbagai manfaat terhadap pengembangan pola pikir dan kreatifitas mahasiswa. Pada era pembelajaran MBKM Kampus Merdeka yang sedang berkembang beberapa tahun belakangan ini memberi peluang untuk lebih banyak melakukan proses refleksi pedagogi pengajaran di perguruan tinggi, termasuk arsitektur. Artikel ini bermaksud memberi sumbangsih pemikiran kebermanfaatan kegiatan luar kampus yang berasal dari refleksi pedagogis kritis pada kegiatan KKN Tematik Kampus Merdeka yang terjadi di Desa Baturetno. Metode yang digunakan adalah analisa isi epilog mahasiswa yang berkegiatan di desa yang dikombinasikan dengan amatan pada aktivitas action research yang berjalan hampir satu tahun lamanya. Berdasarkan proses analisa yang menggunakan pisau bedah Freireian didapati empat hal yang menjadi output kegiatan pedagogis ini yakni kedalaman pengalaman, pembelajaran dialogis, kemampuan berefleksi dan pengelaborasian skills. Temuan pada point terakhir menjadi sebuah alasan kuat untuk terus melakukan eksperimentasi dan evaluasi terhadap kegiatan MBKM di ranah arsitektur terutama yang berkaitan langsung dengan kebermanfaatannya terhadap pembangunan Desa.
PENCEGAHAN STUNTING DENGAN MENGGUNAKAN METODE KP-STIPASI (KELOMPOK PENDAMPING STIMULASI PRODUKSI ASI) SEBAGAI INTERVENSI KEPERAWATAN BERBASIS KOMUNITAS
Authors: Aryani Atik , Suwarni Anik , Widiyono Widiyono
Published: June 2024

Latar Belakang: Stunting masih menjadi salah satu masalah kesehatan terkait pertumbuhan dan perkembangan pada anak usia balita yang dapat menimbulkan dampak buruk dalam jangka pendek maupun jangka panjang. Air susu ibu (ASI) merupakan nutrisi terbaik untuk kesehatan bayi. Air Susu Ibu berperan signifikan dalam pencegahan stunting. Kelancaran ASI oleh ibu pasca melahirkan, selain dipengaruhi oleh asupan nutrisi juga dipengaruhi oleh faktor psikologi dan lingkungan ibu. Pijat oksitosin merupakan bagian dari jalan keluar untuk meningkatkan produksi ASI, sehingga perlu adanya kelompok pendamping yang dapat membantu stimulasi produksi ASI. Metode: Pelaksanaan kegiatan Pemberdayaan Kemitraan Masyarakat meliputi 1) kegiatan penyuluhan kesehatan tentang stunting untuk masyarakat seperti ibu hamil, ibu menyusui dan kader balita, 2) pelatihan bagi kader dalam meningkatkan keterampilan stimulasi produksi asi, 3) pembentukan kelompok pendamping stimulasi produksi asi dan 4) monitoring dan evaluasi pada kelompok pendamping. Hasil : 1) terdapat peningkatan pengetahuan pada masyarakat tentang stunting pada anak, 2) terdapat peningkatan nilai pengetahuan dan keterampilan kader setelah diberikan pelatihan tentang stimulasi produksi asi dan deteksi dini tumbuh kembang anak, 3) Kader aktif dan antusias selama mengikuti kegiatan pelatihan stimulasi produksi asi berupa keterampilan pijat oksitosin dan breastcare, 4) terbentuk Kelompok Pendamping Stimulasi Produksi ASI yang berperan dalam pemantauan pertumbuhan dan perkembangan anak baduta. Kesimpulan:kegiatan pengabdian masyarakat berjalan lancar, masyarakat antusias dan berdampak positif bagi kader sebagai kelompok pendamping dalam meningkatkan keterampilan stimulasi produksi ASI.
EDUKASI PENGOLAHAN PANGAN SEHAT BERBASIS BAHAN ALAM DI SDIT ATHALLA CENDEKIA BOGOR
Authors: Sari Intan Permata , Mulatsari Esti , Pratami Diah Kartika
Published: June 2024

Anak sekolah dasar cenderung lebih tertarik untuk membeli jajanan  dengan harga murah, mudah didapat, dan tampilan yang menarik, tanpa memperdulikan kandungan gizi makanan. SDIT Athalla Cendekia berada di lingkungan pemukiman yang dalam kegiatan sehari-hari, banyak penjual jajajan  di sekitar lingkungan sekolah, baik jajanan  dalam kemasan maupun makanan olahan cepat saji yang selalu menarik siswa untuk jajan sepulang sekolah. Seiring perkembangan pengetahuan, pemanfaatan tanaman obat tidak sebatas sebagai obat tradisional melainkan diolah dalam bentuk makanan seperti pudding lidah buaya, minuman segar, permen dan es krim berbahan herbal. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan edukasi tentang pengolahan pangan sehat berbasis bahan alam dari usia sekolah. Kegiatan dilakukan tim dosen bersama tenaga kependidikan dan mahasiswa dengan berkoordinasi dengan guru sekolah. Kegiatan dilakukan dengan beberapa tahap yaitu persiapan, pelaksanaan praktik bersama pengolahan pangan sehat, tahap pelaporan dan Evaluasi. Pangan sehat yang dibuat adalah nugget tempe dan minuman sehat/jamu. Pangan sehat ini dapat menjadi alternatif jajanan bagi siswa dan bisa dipratekkan dalam kehidupan sehari-hari.