1,051 research outputs found
Motives inhibitors of the use of Moodle in higher education teachers
El propósito de este estudio ha sido identificar cual son los principales motivos por los cuales los docentes no usan el Moodle o lo usan muy poco, con fines pedagógicos. Se ha realizado una encuesta a una población de 640 docentes, de una institución de educación superior técnico profesional de Chile. Entre los motivos identificados se destaca la falta de formación en la aplicación pedagógica de las herramientas que el Moodle presenta y la opinión común de que la principal utilidad de la plataforma es para el trabajo de gestión. Se concluye que el grado de uso de las TIC en el aula de clase, junto al manejo instrumental, responde a múltiple factores, entre los cuales destacamos las habilidades pedagógicas y la frecuencia de uso. Se evidencia la importancia de analizar el uso pedagógico del Moodle con foco multifactorial
Machine Learning Techniques for Tagging Heavy Flavor Jets at RHIC
The properties of the Quark Gluon Plasma (QGP), a hot and dense medium made up of deconfined quarks and gluons (partons), can be studied through ultrarelativistic heavy-ion collisions. In the early stages of the collisions, high energy partons are created, which fragment into collimated sprays of hadrons, called jets. Jets are used to probe the entire evolution of the QGP that they traverse. Classifying jets based on the flavor of the parton that initiated them as heavy or light is a fundamental tool for studying the properties of the QGP as different flavors interact differently with the medium. Jets resulting from heavy ion collisions are compared to those resulting from proton-proton collisions to study their modification in the medium. Therefore, as a first step, we use jets resulting from simulated proton-proton events for the identifying their flavors, which could be extended to identifying jets resulting from heavy-ion events once heavy flavor features are added to heavy-ion event generators. We utilize different deep learning techniques and employ different strategies to minimize the misidentification probability while maintaining the efficiency of tagging heavy flavor jets at RHIC. Similar analysis has been done for LHC √ experiments but never at RHIC energies ( rates of heavy flavor jets to light flavor jets is very low. In this paper, we compare and contrast the performances of the different models we have developed for tagging heavy flavor jets at RHIC energies
Matematika dalam Rasionalitas Al-Qur’an; Bukti Perenialisme Atas Nalar Saintifik
AbstractIslam is a rational religion. Islam, through the Koran, can prove its rationality by proof of its perennial teachings. Rational perennial teachings are derived in profane life through scientific reasoning as well as mathematics and its derivatives. The verses of al-Qur'an are a form of aqliyah statement which is a guide for knowledgeable people to organize their lives in guiding their journey to find the truth. The proofs of rationality (aqliyah) in the Koran always prioritize logic but do not ascribe to al-Haqq. Mathematics is only a tool to absolute truth, but absolute truth belongs only to al-haqq. Muslim scientists who use their rationality have found their rational logic in discovering sciences to dissect knowledge so that it is beneficial to humans, however their devotion to Allah is getting stronger when breaking knowledge that was once empty into reality. Therefore, the rationality of the Qur'an can be described in mathematics, as a science that is full of the virtues of reason and logic.Keywords: Mathematics, Rationality, Perennialism, Al-Qur'an, Aqliyah, AbstrakIslam adalah agama rasional. Islam melalui al-Qur’an dapat dibuktikan nalar rasionalitasnya dengan bukti-bukti ajarannya yang perenial. Ajaran-ajaran perenial yang rasional diderivasikan dalam kehidupan profan melalui nalar saintifik seperti halnya ilmu matematika dan turunannya. Ayat-ayat al-Qur’an merupakan bentuk pernyataan aqliyah yang merupakan panduan insan berilmu untuk menata kehidupannya dalam memandu perjalanannya mencari kebenaran. Bukti-bukti rasionalitas (aqliyah) dalam al-Qur’an selalu mengedepankan logika namun tidak menisbikan yang al-Haqq. Matematika hanya alat menuju kebenaran mutlak akan tetapi kebenaran mutlak hanya milik al-haqq. Ilmuwan muslim yang menggunakan rasionalitasnya telah menemukan logika rasionalnya dalam menemukan ilmu-ilmu guna membedah pengetahuan sehingga bermanfaat bagi manusia, namun demikian ketaqwaan mereka terhadap Allah semakin kuat ketika memecahkan pengetahuan yang dulunya hampa menjadi kenyataan. Oleh karena itu rasionalitas al-Qur’an dapat diuraikan dalam ilmu matematika, sebagai ilmu yang penuh dengan keutamaan nalar dan logika.Kata Kunci: Matematika, Rasionalitas, Perenialisme, Al-Quran, Aqliya
Entrepreneurship and Job Creation in Jordan: Challenges and Prospects for Start-ups
The aim of this article is to assess entrepreneurship activities in Jordan and present how start-ups reduce unemployment. The article also explores the challenges that start-ups face and how such challenges hinder entrepreneurs from engaging in business smoothly. The sample of the study comprises two hundred start-ups distributed in different regions in the country. The method of analysis employed is primarily descriptive statistics in the form of frequencies. Moreover, the binary logit model is used to check the prospects of self-employment and business creation attitudes among youth. The findings of the study reveal that entrepreneurship is one of the main strategies for creating jobs in Jordan, and it contributes to the overall growth of national economy. The study also reveals that the major challenges to engage in start-ups are related to financing and fundraising, regulations of taxation and interpretations of laws. The study also identified a considerable lack of entrepreneurial training at the early stages of business creation
Free Nutritional Meals Program (Mbg) in Indonesia: Human Development according to an Islamic Perspective (Sharia Economic Review on Aspects of Insaniyah Development)
This study aims to analyze the Free Nutritious Meals (MBG) program from the scope of human capital development from an Islamic economic perspective. MBG, which was born from President Prabowo Subianto's government program, does not contradict Islamic teachings in the slightest. This is not only from an Islamic economic perspective but also from the spirit of implementing Pancasila values and the mandate of the 1945 Constitution. Moreover, world religions other than Islam also provide support for the MBG program according to their teachings, as do humanitarian institutions in the world. The research method used in this study is qualitative research with library research. With the accuracy of this methodology, its main focus is exploring the literature to provide strong reasons for theoretical and empirical facts. The results of this study confirm that the MBG program is under the principles of Islamic economics in Indonesia as outlined by the maqashid al-syariah taught by the Qur'an and strengthens the human capital development system (insaniah), especially Muslims who are in number the recipients of the tremendous benefits from the implementation of the program.Keywords: MBG; Indonesia; Human Capital; Islamic Economics; Maqashid al-Sharia
Analisis Penerapan Mutual Information pada Klasifikasi Status Studi Mahasiswa Menggunakan Naïve Bayes
Early identification of Student Study Status is essential for higher education institutions to implement proactive and strategic measures that facilitate timely completion of studies and mitigate dropout rates. This research intends to predict student study status with the Naïve Bayes method based on the features obtained from the implementation of Mutual Information. Feature selection through Mutual Information seeks to analyse the factors that most significantly impact the classification of student study status. The study status is categorized into three classes: dropout, enrolled, and graduate, based on 36 factors. The Mutual Information approach is employed to diminish data dimensions by discarding less relevant features while preserving critical information based on score values to achieve enhanced predictive accuracy. The selection of appropriate attributes enables the model to maintain simplicity while incorporating critical information aspects that significantly impact performance. Experiments were performed on a dataset comprising student academic variables, with data partitioning ratios of 80:20, 70:30, and 50:50 for training and testing datasets. The classification outcomes utilizing Naïve Bayes, without the use of Mutual Information across the three testing ratios, exhibited the accuracy of 68.29% in the 70:30 data split. Simultaneously, the classification outcomes utilizing Mutual Information across three test ratios are as follows: 71.64% accuracy at an 80:20 ratio with 10 selected attributes, 72.06% at a 70:30 ratio with 10 selected attributes, and the highest accuracy of 72.65% at a 50:50 ratio using 15 attributes. The utilization of the Naïve Bayes method for classifying student study status demonstrates enhanced accuracy when integrated with Mutual Information for feature selection. The findings of this study demonstrate that Mutual Information can streamline data by considering the quantity of attribute selections according to the ranking of their score values
Pembelajaran Via Google Classroom sebagai Alternatif Solusi Efektif Pembelajaran di Era Pandemi
This study tries to illustrate how students can access alternative learning techniques via online ways during a pandemic. In the Covid-19 emergency, educators and students will have a unique experience. The government implemented a policy on online education to enable pupils to learn even when they are socially isolated. The impact of the learning process throughout the epidemic since the start of 2020 is the result of digital transformation efforts as a means of instruction for teachers and pupils. This research employs a descriptive qualitative approach. The primary sources of data are teachers and students in elementary schools. Data collecting strategies included observation, interviewing, and documenting learning activities using Google Classroom during the COVID-19 epidemic. The results indicated that around 80% of the time spent using google classroom in the student learning process during the online learning period was due to the fact that it was more effective and efficient than using zoom or google meet. This demonstrates that teachers may give online learning solutions by leveraging a variety of online platforms, one of which is a Google product called Google Classroom.Keywords: Google Classroom; Online Learning; Pandemic; Social Distancing; Digital Transformation AbstrakPenelitian ini mempunyai tujuan untuk menjelaskan langkah alternatif pembelajaran terhadap peserta didik melalui metode online di masa pandemi. Pengalaman berbeda bagi pendidik maupun siswa pada keadaan darurat Covid-19. Pemerintah mengeluarkan kebijakan tentang pembelajaran via online difungsikan agar siswa dapat belajar meski dalam keadaan social distancing. Upaya transformasi digital sebagai metode pembelajaran bagi guru dan siswa merupakan dampak dari proses pembelajaran selama pandemi sejak awal tahun 2020. Metode penelitian pada riset ini adalah penelitian kualitatif dengan jenis deskriptif. Sumber data berasal dari para guru dan para siswa di sekolah dasar. Pengumpulan data dilakukan dengan tehnik observasi, wawancara dan dokumentasi dengan instrumen lembar wawancara serta catatan lapangan mengenai kegiatan pembelajaran selama pandemi covid-19 dengan menggunakan google classroom. Hasil penelitian menunjukkan 80% penggunaan google classroom dalam proses belajar siswa pada masa pembelajaran online lebih banyak digunakan dengan alasan penggunaan kuota internet dan waktu yang lebih efektif dan efisien, dibandingkan dengan menggunakan zoom atau google meet. Hal tersebut secara signifikan menunjukkan bahwa guru dapat memberikan solusi untuk pembelajaran online dengan memanfaatkan berbagai platform online salahsatunya produk google yaitu google classroom.Kata kunci: google classroom; pembelajaran online; pandemi; social distancing; transformasi digita
PARADIGMA CRITICAL THEORY ET AL : TINJAUAN TERHADAP PERDA JAWA TIMUR NOMOR 6 TAHUN 2014 TENTANG PENGENDALIAN, PENGAWASAN, DAN PEREDARAN MINUMAN BERALKOHOL
Adopsi paradigma hukum dalam praktik penegakan hukum (law enforcement) secara empirik dapat dimaknai sebagai penggunaan nilai berfikir filosofis dalam penanggulangan masalah hukum berdasarkan sistem nilai. Oleh karenanyadiperlukan analisa mendalam terhadap pasangan nilai yang melingkupi filsafat hukum agar satu sama lain tidak paradoks. Termasuk dalah hal ini permasalah Peraturan Daerah yang berkaitan dengan minuman beralkohol. Metode penelitianyang digunakan dalam penelitian ini adalah Metode Kualitatif dengan pendekatan normatif yuridis dari berbagai literatur. Hasil penelitian menyatakan bahwa perda Jawa Timur Nomor 6 Tahun 2014 tentang pengendalian, pengawasan, danperedaran minuman beralkohol tidak memuaskan, karena masih memerlukan perbaikan di berbagai aspek untuk dapat mengakomodir nilai norma dan mewujudkan peraturan yang baik sesuai dengan nilai kebudayaan, moral, dan norma yang hidup di masyarakat
Conceptos Básicos de Pricing
Material docente elaborado para el Departamento de Marketing de la Universidad Adolfo Ibáñez. Este documento explora el Pricing como una variable estratégica del Marketing Mix, presentando conceptos teóricos, herramientas prácticas y ejercicios para comprender y aplicar estrategias de fijación de precios en diversos contextos
Quality of Work Life as a Mediator on the Impact of Work-Life Balance on Job Satisfaction
Work-life Balance (WLB) can affect employee attitudes in the company, such as job satisfaction (JS) and also have an effect on the quality of work-life (QWL). This study aims to test and analyze the significance of the direct and indirect influence of WLB on JS through QWL as a mediator, by taking the object of PT KAI (Persero) Daop 7 Madiun employees. The research approach is quantitative. The primary data used in the study were obtained from a questionnaire on research variables distributed to 115 employees of PT KAI (Persero) Daop 7 Madiun as a research sample. The sampling technique used is proportionate stratified random sampling. Data analysis using path analysis, processed with SPSS and Sobel Test software. The results of empirical studies show that: 1) WLB can significantly increase JS; 2) WLB can significantly improve the QWL; 3) QWL can significantly increase JS; 4) QWL partially mediates the effect of WLB on JS
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