bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Imbalan dan Peluang Terhadap Minat Wirausaha Mahasiswa Fakultas Ekonomi dan Bisnis Universitas WR Supratman Surabaya
Authors: Kartika Mira Gayatri , Gamal Ahmad , Prihartanti Wiwik , Suasridewi Desak Gede , Rahmanto Agus 
Published: February 2025

Wirausaha adalah seorang pembuat keputusan yang membantu terbentuknya sistem ekonomi perusahaan yang bebas. Sebagian besar pendorong perubahan, inovasi, dan kemajuan perekonomian datang dari para wirausaha; orang-orang yang memiliki kemampuan untuk mengambil risiko dan mempercepat pertumbuhan ekonomiMenjadi wirausaha untuk sebagian orang merupakan pilihan. Namun ada sebagain orang berpendapat bahwa wirausaha merupakan bagian karena keterpaksaan. Minat wirausaha sangat dipengaruhi oleh imbalan atau peluang. Minat wirausaha akan sangat tergantung kepada pribadi seseorang. Penelitian ini bertujuan untuk menganalisis pengaruh imbalan dan peluang terhadap minat wirausaha mahasiswa Fakultas Ekonomi dan Bisnis Semester Universitas WR Supratman Surabaya. Populasi dalam penelitian ini adalah mahasiswa Fakultas Ekonomi dan Bisnis Semester 2 Prodi Akuntanasi dan Prodi Manajemen. Sampel dalam penelitian ini berjumlah 30 mahasiswa. Teknik analisis data dengan menggunakan regresi linier berganda dengan bantuan sotware SPSS vesi 26. Hasil penelitian dapat diampulkan bahwa pengaruh imbalan dan peluang secara parsial terhadap minat wirausaha mahasiswa Fakultas Ekonomi dan Bisnis Semester 2 Prodi Akuntanasi dan Prodi Manajemen Universitas WR Supratman Surabaya. Pengaruh imbalan dan peluang secara simultan terhadap minat wirausaha mahasiswa Fakultas Ekonomi dan Bisnis Semester 2 Prodi Akuntanasi dan Prodi Manajemen Universitas WR Supratman Surabaya.
Pengaruh Pengaruh Harga dan Kulitas Pelayanan Terhadap Minat Beli di Warung Madura Surabaya
Authors: Gamal Ahmad , Purwoko Bambang , Prihartanti Wiwik , Suasridewi Desak Gede , Rahmanto Agus 
Published: February 2025

Consumer behaviour is always changing depending on the environment. A very dominant environment can influence consumer behaviour. Factors that support customers to be satisfied with the company are price and service quality factors. Price is a determining factor in making buying decisions. Because the price is related to a person's financial ability, the more he has a high financial ability, the part of buying something is not a problem. Meanwhile, service quality is the second factor after price. Buyers tend to price to determine whether to buy or not. Purchase interest will depend on price and service quality. This study aims to analyse the effect of price and service quality on buying interest in Warung Madura. The population in this study were buyers at Warung Madura in Surabaya. Determination of the sample using Hair where the number of variable indicators is multiplied by 5. The sample in the study amounted to 60 people. Data analysis techniques using multiple linear regression with the help of SPP software vesi 26. The results of the study can be concluded that price has a significant effect on buying interest in Madura stalls in Surabaya. Service quality has a significant effect on buying interest in Madura Surabaya stalls. Price and service quality simultaneously have a significant effect on buying interest in Warung Madur Surabaya.
An Overview of Machine Learning Techniques for MRI-Based Knee Osteoarthritis Progression Prediction
Authors:   Department of Information Technology, Matoshri Aasarabai Polytechnic Eklahare Nashik, Chakor1 Shradha 
Published: February 2025

One common degenerative joint condition that has a substantial negative influence on quality of life and is placing an increasing strain on healthcare systems throughout the globe is knee osteoarthritis (OA). Even while MRI is essential for OA diagnosis and monitoring, conventional techniques that depend on manual cartilage segmentation are labour-intensive and subject to error. In order to overcome these obstacles, this work uses the cutting-edge Cartilage Damage Index (CDI) to present a unique machine learning-based method for OA progression prediction using MRI data. More sensitive evaluations of cartilage changes over time are made possible by the CDI, which measures the thickness and structural integrity of cartilage at 36 distinct places inside the tibiofemoral cartilagecompartment. Principal Component Analysis (PCA) is used to improve prediction accuracy, increase computing efficiency, and reduce dimensionality while maintaining important information. This study evaluates four machine learning algorithms ANN, SVM, Naïve Bayes & Random Forest for its efficacy in predicting the progression of osteoarthritis (OA) based on data obtained from CDI. Validated prediction findings utilise established clinical markers such as JSN in the medial and lateral compartments and abnormalities in KL grades. The findings indicate that the medial cartilage feature set had superior predictive capacity, with the highest overall accuracy achieved with the integration of medial and lateral features. This work provides a robust basis for the early diagnosis and monitoring of OA progression by integrating advanced data mining techniques wi machine learning, allowing more personalised and effective treatment strategies in clinical practice.

Key Words: Cartilage Damage Index, Machine learning, Knee osteoarthritis, MRI-based prediction.
A Comprehensive Review on Machine Learning Approaches for Smartphone Addiction Prediction
Authors:   udent, Department of Information Technology ,MAP College , Nashik., Wagh, Siddhant Dipak 
Published: February 2025

Smartphone addiction has become a pressing public health concern, with far-reaching implications for mental health, social interactions, and overall well-being. This study proposes an unsupervised machine learning framework to predict smartphone addiction by analyzing user behavior data, such as screen time, application usage patterns, and psychological factors. The research leverages unsupervised learning techniques to identify patterns and commonalities in unlabelled data, aiming to classify individuals at risk of addiction without predefined categories. Using advanced machine learning libraries like TensorFlow and OpenCV, the system incorporates a robust pipeline involving data collection, preprocessing, and training/testing with high-performance models. The findings highlight excessive social media use and notification frequency as significant predictors, with applications ranging from personalized intervention programs and mental health monitoring to enhanced parental control systems. With a focus on scalable and adaptive methodologies, this framework not only addresses the challenges of smartphone addiction but also offers valuable insights for researchers, policymakers, and app developers to design effective solutions for healthier technology use in an increasingly digital society

Key Words: Smartphone addiction, machine learning, user behavior analysis, mental health, unsupervised learning.
Digital Literacy Education Among Students: Status, Pathways, and Implications in the Current Digital Era
Authors: Yi Wang , Wang Siqian  
Published: February 2025

This research aims to analyze in depth the digital literacy of students, which refers to their ability to effectively find, evaluate, create and communicate information using digital technology in the education and teaching process in higher education. In the digital age, digital literacy has become an essential and indispensable skill for personal, academic, and professional success. Cultivating digital literacy in university students is not only an important component of promoting the construction of higher education programs but also a crucial issue in facilitating the digital transformation of higher education. The study surveyed undergraduate students at Guizhou Normal University in Guiyang, China, using a structured questionnaire that covered six dimensions of digital literacy: information acquisition, communication and collaboration, digital content creation, security, privacy, and problem-solving. The results reveal that university students generally exhibit high levels of digital literacy, with no significant differences between genders. However, students from urban areas demonstrate significantly higher digital literacy levels compared to those from rural areas, particularly in security and privacy domains. The findings underscore the need for targeted interventions to enhance digital literacy in areas such as digital content creation and problem-solving. This study provides practical recommendations for higher education institutions to address these gaps and promote comprehensive digital literacy development among students especially in the fields of education and teaching
Literasi Keuangan: Investasi Emas Nggak Ada Matinya!
Authors: Augustine Graciafernandy Maria , Dewi Endah Amaliyah Erlina , Usriyono Eko , Slahanti Masine 
Published: February 2025

Pemahaman literasi keuangan berkaitan dengan kemampuan seseorang untuk dapat mengelola keuangannya dengan baik termasuk menentukan instrument investasi yang tepat untuk dirinya. Hasil survei kepada para guru SMP Kuncup Melati menunjukkan bahwa 70% guru merasa investasi hanya dapat dilakukan dengan modal yang besar. Kegiatan pengabdian masyarakat ini dilaksanakan di SMP Kuncup Melati Semarang secara luring dengan menggandeng PT Pegadaian untuk menjelaskan tentang investasi emas. Emas dapat dijadikan sarana investasi bagi para investor pemula dengan modal yang minim karena cenderung stabil dan aman. Para guru SMP Kuncup Melati telah diberikan pemahaman akan konsep dan ragam jenis investasi, pengetahuan bagaimana memilih investasi yang aman, terpercaya dan terjangkau. Respon positif terlihat dengan adanya komunikasi interaktif antara pemateri dengan peserta. Hasil pengisian kuesioner pasca kegiatan menunjukkan bahwa pemahaman guru akan materi yang disampaikan makin tinggi. Tujuan dengan adanya kegiatan ini diharapkan wawasan peserta makin terbuka dan makin kritis akan produk-produk investasi yang ada di pasar. Selanjutnya, diharapkan para guru dapat turut serta menyebarkan pengetahuan tentang literasi keuangan ini kepada para peserta didik dan masyarakat luas
Optimalisasi Kinerja Alat Pengering Pengolahan Makanan Bahan Dasar Pisang pada Kelompok Usaha Khadijah Food di Nagari Ladang Laweh Kab.Agam
Authors: Alfitri Nadia , Azra Tuti , Kurniadi Dedi , Anton Anton , Yefriadi Yefriadi 
Published: February 2025

Usaha Khadijah Food mengalami kendala yang berkaitan dengan proses produksi Sale Pisang yang masih menggunakan cara tradisional dalam mengeringkan bahan baku melalui cahaya matahari langsung. Sebenarnya mitra ini sudah memiliki alat pengering oven namun kinerja alat belum optimal karena hasil produksinya dan kualitas sale pisang yang dikeringkan tidak sesuai yang diharapkan, karena proses karamelisasi yang merupakan tahapan penting dalam pengeringan pisang tidak berjalan dengan baik. Solusi yang diberikan adalah menggunakan alat pengering bahan makanan dengan menggunakan konsep pengeringan kadar air dengan elemen pemanas untuk pengeringan, dan blower untuk sirkulasi panas pada ruang pengering, sehingga hasil pengeringan pisang bisa berjalan lebih optimal karena selain dari hawa panas dari heater juga diberikan sirkulasi udara yang mencukupi dalam peroses pengeringan. Pengeringan bahan pisang dengan konsep seperti ini akan memungkinkan tahapan karamelisasi berjalan maksimal karena kandungan air tidak akan terperangkap pada permukaan pisang atau menguap. Karamelisasi merupakan sebuah reaksi kadar gula terhadap suhu panas tinggi yang mengakibatkan pisang akan menjadi lebih lentur atau tidak mudah rapuh, warna kecoklatan serta memiliki cita rasa yang khas. Dengan kegiatan pengabdian ini mitra mendapatkan manfaat secara langsung melalui sentuhan teknologi yang diberikan. Peningkatan omset akan terjadi dan kebutuhan pasar juga akan tetap terpenuhi meskipun cuaca kurang mendukung.
Effects of HIV/AIDS on Agricultural Produce in Nassarawa Eggon Local Government Area Nigeria
Authors: Dan Iliya Iliya 
Published: February 2025

This study investigated the effect of HIV/AIDS on agricultural output in the local government area of Nassarawa Eggon in the State of Nasarawa. Data were collected from 360 respondents and analysed using the Generalized Method of Moments regression model and descriptive statistics. The study found that HIV/AIDS reduced the output and income of affected farmers largely due to lost labour hours for agriculture due to HIV/AIDS and; labour costs wages due to HIV / AIDS; The study recommends that governments at state and local levels should design and implement financial inclusion programs and register vulnerable groups especially HIV/AIDS households. Finally, the study recommends that the government should resurrect measures that will stop the spread of the disease among Nassarawa Eggon farmers to reduce the farmers' lost working hours. This will increase the output and income level of affected farmers.
Assessment of fly ash waste utilization in cement production: Implications for air quality and sustainability
Authors: Permatasari Ratih , Sodri Ahyahudin , Agustina Haruki 
Published: February 2025

Background: Growing national development and energy consumption increase reliance on coal, a non-renewable resource. In Indonesia, coal mainly fuels electricity generation, producing significant fly ash waste. This study evaluates the environmental impacts of using hazardous and non-hazardous fly ash in cement production. Methods: This research employs a quantitative approach, focusing on fly ash utilization in cement production. Conducted at PT ABC, it analyzes emissions from five chimneys and ambient air quality, using AERMOD modeling and Continuous Particulate Monitoring for data collection and analysis. Findings: PT ABC has tested fly ash waste from 2018 and 2022 as a substitute for cement raw material, meeting the necessary specifications for both hazardous (B3) and non-hazardous (non-B3) categories. TSP emission data from 2022 were modeled using AERMOD, considering meteorological conditions and chimney emissions. The worst-case scenario for 24-hour particulate dispersion showed compliance with ambient air quality standards, indicating effective management of air pollution at PT ABC. Conclusion: Fly ash utilization at PT ABC maintains air quality standards without significant decline. Novelty/Originality of this Study: This study comprehensively assesses fly ash waste management in cement production, utilizing AERMOD modeling to demonstrate compliance with environmental standards and promoting sustainable practices while addressing Indonesia's critical environmental challenges.
Pengaruh Media Sosial Tiktok dan Live Streaming Tiktok terhadap Keputusan Pembelian Konsumen di Aplikasi Shopee
Authors: Hana Hanifah  , Eva Rostiana  
Published: February 2025

Penelitian ini bertujuan untuk mengetahui pengaruh dari penggunaan media sosial TikTok terhadap keputusan pembelian konsumen di Aplikasi Shopee. Penelitian ini menggunakan pendekatan kuantitatif dengan desain survei. Populasi dan sampel dalam penelitian ini adalah konsumen yang membeli produk dari perusahaan tertentu yang diambil dari hasil melihat video pendek review barang di Tiktok dan Live streaming Tiktok Sampel diambil secara acak dari konsumen yang telah melakukan pembelian dari Tiktok dan Live streaming Tiktok. Pengumpulan Data Data dikumpulkan melalui kuesioner yang disebarkan kepada konsumen yang menjadi sampel penelitian. Teknik Analisis Data Data yang terkumpul akan dianalisis menggunakan software statistik, seperti SPSS atau SEM (Structural Equation Modeling), untuk menguji hubungan antara variabel-variabel yang diteliti. Hasil penelitian ini menunjukkan bahwa TikTok memiliki pengaruh yang penting terhadap keputusan pembelian konsumen untuk berbelanja di Shopee. Dengan adanya marketing di aplikasi TikTok ini bisa meningkatkan keputusan pembelian konsumen untuk berbelanja di aplikasi Shopee.
Análisis de las Universidades para el Bienestar Benito Juárez García: retos y limitaciones a seis años de su implementación
Authors: Ramírez Sánchez Rubén Darío , Chávez Jiménez Daniar 
Published: February 2025

El presente trabajo es una reflexión sobre la forma en que fueron fundadas las Universidades para el Bienestar Benito Juárez García a partir de 2019 por el expresidente Andrés Manuel López Obrador (2018-2024). El objetivo del trabajo consiste en analizar los fundamentos básicos que sirvieron de base para su institucionalización. Para realizar el ejercicio se utiliza una estrategia cualitativa, mediante el análisis de documentos oficiales y estudios hemerográficos, cuyos insumos permitieron reflexionar la emergencia y la complejidad que ha presentado la expansión y el desarrollo de esta institución; donde encontramos fuertes deficiencias en el modelo que prometió masificar el derecho a la educación y en vez de ello conservó un modelo educativo muy similar a los anteriores, que mantiene una estructura centralista, malas condiciones laborales y muchas limitaciones estructurales, mismas que han despertado desde protestas estudiantiles y docentes, hasta críticas de especialistas de la educación y de la opinión pública sobre la falta en el cumplimiento de sus objetivos principales.
ООО «Татбурнефть» получило патент на изобретение гипсоизвесткового бурового раствора на формиатной основе
Authors: КАТКОВ С.Е. , АСКАРОВ Р.Ф. , ХАМИДУЛЛИН Р.Р. , ТРУННИКОВ Д.Е. , ЛЮБИМОВА С.В. 
Published: February 2025

В статье представлена информация о патенте на гипсоизвестковый буровой раствор (ГИБР-3), его специфике и основных преимуществах.
The article presents information about the patent for gypsum-limestone drilling fluid (GIDF-3), its specifics and key advantages. Tatburneft has developed a unique water-based drilling fluid GIDF-3, consisting of an innovative combination of sodium formate and gypsum-limestone components.
Применение сервиса «Управление замерами» с целью уменьшения погрешностей инклинометрических измерений и повышения точности определения пространственного положения ствола скважины при строительстве скважин на месторождении Западной Сибири
Authors: ГЕНЕРАЛОВ Д.О. , НЕЧАЕВА Т.С. 
Published: February 2025

В данной статье описывается применение сервиса «Управление замерами» для уменьшения погрешностей инклинометрических измерений и более точного определения положения ствола скважины при строительстве скважин на объекте недропользователя, на месторождении Западной Сибири. На основе анализа существующих технологий и опыта, полученного при бурении на разных месторождениях в России, а также благодаря эффективному взаимодействию всех участников процесса строительства скважин, были внедрены передовые методики ведения работ. Они были объединены с постоянным улучшением технологических процессов и оптимизацией цикла строительства в целом. Это позволило увеличить коммерческую скорость, повысить дебит скважин и минимизировать риски при выполнении работ. Все технологии и мероприятия, которые были разработаны и успешно внедрены, показали свою максимальную эффективность за счет комплексного инженерного подхода и высоких компетенций специалистов всех направлений, вовлеченных в реализацию данного проекта.
Application of the «Survey Management» services in order to enhance survey data and improve the accuracy of the wellbore positioning during well construction at the Western Siberia field. This article describes the usage of the Survey Management services for reduction of survey errors and therefore more accurate placement of wellbores during well construction at the facilities of the subsoil user at the Western Siberia field. Advanced work methods were implemented through the analysis of existing technologies and experiences gained when drilling at various fields in Russia, as well as through the effective interaction of all participants of the well construction process. These methods were combined with the constant improvement of technological processes and optimization of the construction cycle. All of this allowed to increase commercial speed, well flow rate and to minimize work risks on the project. All of the developed and successfully implemented on this project technologies and activities have demonstrated their maximum efficiency due to the integrated engineering approach and high competencies of all specialists involved in the implementation of this project.
Повышение эффективности кислотных обработок на добывающих скважинах в карбонатных коллекторах
Authors: ОГАНЕСЯН А.В. , БОРХОВИЧ С.Ю. , ПОЛОЗОВ М.Б. , ЛИХАЧЕВА О.В. 
Published: February 2025

Большинство нефтяных месторождений Удмуртии находится на завершающей стадии разработки, для которой характерно увеличение обводненности и значительное снижение объемов добычи нефти. С выработкой наиболее продуктивных залежей растет доля запасов, которые сосредоточены в неоднородных карбонатных коллекторах. Для карбонатных коллекторов, структура порового пространства которых осложнена неоднородностью фильтрационно-емкостных свойств, наиболее значимой проблемой является опережающее обводнение скважин и неравномерное извлечение запасов по разрезу. При высокой обводненности скважин эффективность большинства геолого-технических мероприятий, включая кислотные обработки, значительно снижается. Для достижения максимального результата требуются технологии, которые обеспечивают воздействие на продуктивную часть пласта по всей его толщине, включая в работу как высокопроницаемые, так и низкопроницаемые пропластки.
The majority of oil fields in Udmurtia are at the final stage of development, which is characterized by an increase in water cut and a significant decrease in oil production. As the most productive deposits are depleted, the share of reserves concentrated in heterogeneous carbonate reservoirs increases. The most significant problem for carbonate reservoirs, whose pore space structure is complicated by heterogeneity of filtration-capacitance properties, is advanced watering of wells and uneven recovery of reserves along the section. At high well watercutting, the efficiency of most geological and technical measures, including acid treatments, is significantly reduced. In order to maximize results, technologies are required that ensure that the productive part of the reservoir is affected throughout its entire thickness, including both high-permeability and low-permeability formations.
PENERAPAN ALGORITMA DECISION TREE UNTUK KLASIFIKASI KONSUMSI ENERGI LISTRIK RUMAH TANGGA DENGAN PENGGUNAAN RAPIDMINER
Authors: Ubeitul Maltuf  , Zaehol Fatah  
Published: February 2025

The research aims to explore and understand energy consumption patterns in households. By using the Decision Tree algorithm, to classify the level of electrical energy consumption. And data on household electrical energy consumption can be obtained from various sources, such as Household electricity meter. Survey or questionnaire filled out by homeowners regarding the use of electrical appliances. Based on the image above, the application of the Decision Tree algorithm in analyzing risk factors for The classification of household electrical energy consumption produces an accuracy value of 100.00%. From the displayed confusion matrix, we can see the distribution of predicted and actual values for various classes. For example, in the class "true 110 25," there are 17052 correct predictions. The evaluation results also show the precision and recall values for each class. The highest precision was achieved in the "true 2205" class with 100% recall, while the precision was found in the "true 122.5" class of 100.00%.