bluuebunny/crossref_metadata_2025 huggingface dataset:
Pembelajaran PAI Berwawasan Integratif-Inklusif Dalam Pencegahan Radikalisme
Authors: Sholihah Hana Nurdiniyah , Misbah M
Published: July 2024

Radikalisme masih menjadi permasalahan yang ada di masyarakat karena muncul beberapa kelompok muslim yang memahami ayat-ayat tentang perintah untuk berperang hanya secara tekstualis tanpa memahami konteks dari perintah ayat tersebut, Oleh karena itu, radikalisme di sekolah memerlukan perhatian khusus. Tujuan penelitian ini adalah untuk mengetahui penerapan pembelajaran PAI berwawasan integratif-inklusif dalam pencegahan radikalisme. Jenis Penelitian yang digunakan dalam penelitian ini adalah penelitian kualitatif dengan menggunakan pendekatan deskriptif analisis. Adapun teknik pengumpulan data adalah studi pustaka (Library Research). Sedangkan sumber data penelitian ini adalah buku-buku dan artikel ilmiah yang berkaitan dengan pendidikan integratif-inklusif dan radikalisme. Adapun hasil penelitian ini dapat ditarik kesimpulan bahwa Untuk mengatasi berkembangnya paham radikalisme, pembelajaran PAI integratif inklusif adalah salah satu cara untuk menjawab berbagai permasalahan dalam kehidupan di masyarakat. Dalam hal ini, pembelajaran PAI harus diintegrasikan dengan bidang akademik lain yaitu mempelajari ayat perang guru bisa mengintegrasikan dengan ilmu tata bahasa Arab, ilmu sabab al-nuzul, pendidikan kewarganegaraan dan lain-lain. Selain itu juga pembelajaran PAI berwawasan inklusif melalui pemahaman moderasi beragama sebagai langkah konkrit dalam memberantas paham radikalisme pada generasi muda.
Penerapan Model Pembelajaran Problem Based Learning (PBL) dengan Pendekatan Saintifik untuk Meningkatkan Hasil Belajar Siswa Kelas VII di SMP Negeri 2 Madiun
Authors: Septiyanto Aprisia , Setyansah Reza Kusuma , Putra Agung Agustin Dwi
Published: July 2024

Penelitian ini memiliki tujuan untuk mengetahui apakah penerapan model Problem Based Learning (PBL) dengan pendekatan Saintifik bisa meningkatkan hasil belajar siswa kelas VII di SMP Negeri 2 Madiun di tahun ajaran 2023/2024. Pembelajaran di SMP Negeri 2 Madiun masih didominasi oleh model pembelajaran konvensional yang berpusat pada guru. Hal tersebut menyebabkan siswa jenuh dan tidak termotivasi dalam belajar. Akibatnya, hasil belajar siswa masih belum mencapai target yang diinginkan. Jenis penelitian ini adalah Penelitian Tindakan Kelas (PTK) yang memakai analisis kualitatif dan kuantitatif. Teknik pengumpulan data yakni melalui lembar observasi dan soal posttest. Hasil penelitian ini didukung dengan hasil persentase nilai ketuntasan prasiklus hanya 25%, di mana presentase ketuntasan tersebut diakibatkan karena guru belum melaksanakan model pembelajaran Problem Based Learning (PBL) dengan pendekatan Saintifik. Kemudian sesudah guru menerapkan model dan pendekatan tersebut, didapatkan peningkatan pada hasil belajar yakni pada siklus I memiliki persentase ketuntasan 53,12% dan di siklus II meningkat lagi dengan presentase 90,62%. Berdasarkan hasil yang dilakukan didapatkan bahwa model pembelajaran Problem Based Learning (PBL) dengan pendekatan Saintifik mampu membuat dampak positif pada hasil belajar siswa di SMPN 2 Madiun.
Kesiapan Guru dalam Peralihan Dari Kurikulum 2013 ke Kurikulum Merdeka di SDN Teluk Tiram 1
Authors: Nupita Rika , Pratiwi Diani Ayu , Aslamiah Aslamiah , Putri Dela Nesia , Al-Qibthia Vidianata , Suryani Susantika , Wihandarti Aura Permata
Published: July 2024

Kesiapan guru khususnya dalam proses pembelajaran yang efektif yakni mengajar yang jelas, menggunakan variasi strategi dan metode pembelajaran, menggunakan variasi media pembelajaran, memberdayakan peserta didik, antusiasme dalam pembelajaran dan lain sebagainya. Di SDN Teluk Tiram 1 salah satu tantangan yang difokuskan adalah kesiapan guru dalam memahami dan mengimplementasikan kurikulum baru. Banyak guru yang belum paham dengan peralihan dari kurikulum 2013 ke kurikulum merdeka. Tujuan penelitian ini untuk mengetahui kesiapan guru dalam peralihan kurikulum 2013 menuju kurikulum merdeka dengan menggunakan metode studi kasus, karena memungkinkan pemahaman mendalam tentang masalah yang dihadapi individu atau kelompok dalam konteks spesifik. Metode ini bertujuan untuk memperoleh gambaran komprehensif mengenai kesiapan guru dalam mengimplementasikan kurikulum merdeka. Berdasarkan penelitian, diketahui bahwa para guru sudah cukup baik dalam melakukan kesiapan proses pembelajaran yaitu sesuai dengan struktur kurikulum merdeka terkait dengan kesiapan proses pembelajaran untuk meningkatkan kesiapan guru dalam proses pembelajaran dilakukan dengan mengembangkan personal diri gurunya sendiri dan melakukan evaluasi pada gurunya. Kesiapan guru dalam penerapan kurikulum merdeka dilihat dari hasil wawancara sesuai dengan 8 indikator penerapan kurikulum merdeka yang menunjukkan bahwa pada secara keseluruhan guru masih belum siap dalam menerapkan kurikulum merdeka tetapi para guru terus berusaha mengembangkan personal diri sendiri dan mengevaluasi kemampuannya.
Systematic Literatur Review : Software Matematika MatLab Sebagai Media Belajar untuk Meningkatkan Kemampuan Komputasi Siswa
Authors: Afifah Nabila Nasution  , Yahfizham Yahfizham
Published: July 2024

MatLab Matrix Laboratory mathematics software is a platform with a programming language created with the aim of being a tool for complex calculations or simulating a system that you want to simulate. This literature study aims to find out whether MatLab mathematics software as a learning medium can improve students' computing abilities through a review of related literature studies. The research method used is a Systematic Literature Review with literature sources used from 2020-2024 and relevant to the research topic. Researchers analyzed thoroughly so that 9 main articles were taken for comprehensive analysis. The results of this SLR research show that MatLab mathematics software as a learning medium can improve students' computing abilities.
Perancangan Manajamen Proyek Sistem Informasi Penggajian Karyawan
Authors: Maharani Arafah
Published: July 2024

An employee payroll information system is an important component in an organization for managing employee salary data and payments effectively and efficiently. This research aims to analyze the factors that influence the success of employee payroll information system project management. The research method used is the waterfall method, which includes planning stages, needs analysis, system design, implementation, as well as testing and evaluation. This system is designed to automate the payroll process, from calculating salaries, withholding taxes, to creating financial reports. With this information system, it is hoped that it can reduce human error in the payroll process and increase employee satisfaction through transparency and accuracy of salary data. Where the implementation results show a significant increase in the speed and accuracy of payroll. Key factors for the success of this project include active involvement of stakeholders, use of appropriate technology, and effective risk management.
Analisis Bahaya Serangan Ransomeware Terhadap Layanan Perbankan
Authors: Nurul Monika Larasati  , Rayyan Firdaus
Published: July 2024

In the ever-growing digital era, banking services also continue to develop and become important for both individuals and businesses to carry out financial transactions quickly and easily. With these technological advances, serious concerns have arisen regarding the security of banking service data. Ransomware is a type of malicious program or malware that threatens to destroy or block access to important data or systems until a ransom is paid by the victim. Ransomware can infect computers in various ways, for example through attached files that the victim downloads, or attacking software directly by looking for vulnerable loopholes. Ransomware attacks have caused many losses, especially in the banking sector, both in terms of financial and customer data security. Protection of banking services from cyber attacks is very important. Proactive prevention efforts, early detection, quick response, application of appropriate technology and implementation of strong data security policies are crucial elements in maintaining the integrity and security of financial transactions. Therefore, it is very important for banking services to understand ransomware attacks and the dangers of ransomware by strengthening computer data security. The research method used is descriptive qualitative research using the literature study method.
Audit Sistem Informasi Perpustakaan Sekolah Menggunakan Frame Work Cobit 5 Pada SMAN 1 Terbanggi Besar Lampung Tengah
Authors: Danianty Miranda Br. Bangun  , Maida Andriani  , Risdiana Risdiana
Published: July 2024

The impact of standardization on Labor Vocational High School (SMK Labor) is felt by students, teachers, and staff, particularly in all activities related to the library information system that must comply with the procedures (SOP) established in ISO 9001:2000 SOP. The current library information system has not been audited yet, and it is not known whether it has supported the achievement of the school's vision and mission. A technique is needed to control and ensure that the library information system aligns with the organization's objectives. This is the reason why an audit of the Library Information System usage at SMAN 1 Terbanggi Besar needs to be conducted. The audit of the library information system uses the COBIT 5 framework with the Delivery, Service, and Support (DSS) domain, namely DSS.1, DSS.5, DSS.11, DSS.12, and DSS.13. The research results show that there is one process with capability level 4, which is DSS02, and there are five processes with capability level 3, namely DSS01, DSS03, DSS04, and DSS05. The overall capability level obtained based on the average is 3, which means that most of the activities in the DSS domain for the library information system at SMAN 1 Terbanggi Besar have been carried out. There are standardized implementations for these processes, and they are well-documented and communicated. This study implies that through the assessment of capability levels related to the Library Information System at SMAN 1 Terbanggi Besar, it can be continued in the future development of specific business processes, especially when there is an increasing number of customer services with diverse library service products. This can be done within the COBIT 5 audit framework.
Rancang Bangun Sistem Absensi Berbasis Web Di Madrasah Ibtidaiyah Syamsul Huda Kecamatan Jagakarsa
Authors: Dede Handayani  , Muhammad AlFathir Shaumi  , Hasbi Pandiani  , M Berlian Wahyu S
Published: July 2024

In the digital era, the use of information technology in various fields, including education, is essential. Madrasah Ibtidaiyah Syamsul Huda in Jagakarsa District, South Jakarta, faces challenges in recording teacher attendance, which is still done manually, leading to issues such as data inaccuracy and difficulty in recapitulation. This research aims to design and develop a web-based attendance system using PHP, Bootstrap, CSS, HTML, and MySQL. The system is expected to improve the efficiency and accuracy of attendance recording, as well as facilitate real-time access and processing of attendance data. The research methodology includes needs analysis, system design, implementation, testing, and maintenance. The results indicate that the web-based attendance system can provide an effective solution to enhance teacher attendance management at Madrasah Ibtidaiyah Syamsul Huda.
Klasifikasi Penyakit Kronis Melalui Mata Menggunakan Algoritma Convolutional Neural Network Dengan Model MobileNet-V3
Authors: Mohammad Haydir Awaludin Waskito  , Andreas Nugroho Sihananto  , Achmad Junaidi
Published: July 2024

Chronic diseases in humans are very difficult to detect visually, for example glaucoma, hypertension, diabetes, and others. So it takes a lot of time for further medical examination by visiting a health center or hospital. Therefore, this research aims to find a solution combining medical and computer science to classify quickly and precisely. Classifying eye images requires good features and characteristics so that disease images can be classified. This research uses the Deep Learning method, namely Convolutional Neural Network with MobileNet-V3 architecture which can extract features from large resolution images very well. This research resulted in accurate classification of images of chronic diseases Normal, Diabetes, Glucoma, Cataract, Age related macular degeneration, Hypertension, Pathalogical Myopia. uses the MobileNet-V3 architecture, with transfer learning reaching 81%, and loss only 0.4913.
Fortalecimiento de la Cátedra de la Paz en la Educación, a partir de la Ética, Cuidado y Toma de Decisiones, para los Estudiantes de Grado Once del Colegio Administración Robert Owen
Authors: Bernal Figueroa Yuly Milena , Zabaleta Ardila Andrea Johanna Zabaleta Ardila
Published: July 2024

En la presente investigación se realizó el diseño de una estrategia pedagógica para el fortalecimiento de la Cátedra de la Paz en la educación, en el colegio Robert Owen de Bogotá, con un enfoque en la ética, el cuidado y la toma de decisiones aplicado a los estudiantes de grado once del Colegio, parte del reconocimiento  de la importancia de la Cátedra de Paz, la formación cívica y los proyectos de vida de los estudiantes, para contribuir en la mejora de las condiciones sociales, culturales, políticas, económicas y ambientales desde la educación. Con un enfoque cualitativo de investigación, que favoreció el acercamiento al problema y la identificación de los elementos claves del PEI a la luz de las categorías, y mediante 3 momentos, el primer momento de descripción, el segundo momento de análisis y el tercer momento propositivo. Como resultado, se evidencia la necesidad de implementar estrategias formativas que fortalezcan los proyectos de vida de los estudiantes, basándolos en la ética y moralidad, el cuidado de si mismo, del otro y del entorno y la toma de decisiones consientes, que le permitan asumir con responsabilidad su rol como ciudadano activo.
Aplicaciones Prácticas de la Generativa en la Educación Inclusiva
Authors: Guanotuña Balladares Galo Estuardo , Sosa Caiza Nancy Elizabeth , Andino Córdova Andrea Alexandra , Asimbaya Pilaguano Sebastián Mario , Zapata Achig Victor Hugo , Obando Chalapu Jairo Gustavo , Ríos Morillo Aracely Jessenia
Published: July 2024

La inteligencia artificial generativa (IAGen) representa un avance significativo en la tecnología educativa, ofreciendo aplicaciones prácticas que prometen transformar la educación inclusiva. Este artículo tiene como objetivo investigar cómo la IAGen puede mejorar la personalización del aprendizaje, automatizar tareas administrativas y crear recursos educativos accesibles, especialmente en contextos educativos con estudiantes que tienen necesidades educativas específicas, asociadas o no a una discapacidad. El problema de investigación aborda la necesidad urgente de adaptar y personalizar los procesos educativos para atender la diversidad de estudiantes en entornos inclusivos. A pesar de los avances tecnológicos, persiste una brecha significativa en la implementación efectiva de tecnologías que faciliten una educación verdaderamente inclusiva. Este estudio pretende llenar ese vacío, explorando cómo la IAGen puede utilizarse para superar estos desafíos y promover una educación más equitativa y accesible. La relevancia de este tema se justifica por la creciente demanda de sistemas educativos que sean inclusivos y equitativos. La personalización del aprendizaje y el acceso a recursos educativos adaptados son cruciales para asegurar que todos los estudiantes, independientemente de sus capacidades, puedan beneficiarse de una educación de calidad. La UNESCO ha subrayado la importancia de la IA en la educación, destacando su potencial para transformar los procesos educativos y mejorar los resultados de aprendizaje. La integración de la IAGen en la educación inclusiva no solo tiene el potencial de mejorar la experiencia educativa de los estudiantes con necesidades especiales, sino también de optimizar el tiempo y los recursos de los educadores.
Impact of Work Motivation on Job Satisfaction: The Role of Employee Reward, Training and Islamic Work Accommodation
Authors: Ashraf Muhammad Saleem , Sulehri Fiaz Ahmad , Audi Marc , Bukhari Syeda Ambreen Fatima , Azam Habiba , Ali Amjad
Published: July 2024

The role of work motivation is of paramount importance in establishing a correlation among several organizational practices, including employee awards, training, Islamic work accommodation, and the degree of job happiness seen by employees. Acquiring understanding and proficiently managing this intermediate role holds significant significance for businesses aiming to enhance overall employee satisfaction and performance. The objective of this study is to analyze the intricate relationships among employee awards, training programs, Islamic work accommodations, work motivation, and job satisfaction within the banking sector of Pakistan. Through a comprehensive examination of prevailing academic literature, we have formulated hypotheses to explore the direct and indirect effects of these variables within the distinct framework of organizational settings. The present study utilizes mediation analytic approaches within its research design to investigate the mediating role of work motivation in the association between employee reward, training, Islamic work accommodation, and job satisfaction. The findings of this study hold significance in both scholarly and applied domains. The researchers contribute to the existing body of knowledge by providing a clearer understanding of the intricate dynamics that take place among these crucial elements within the work environment.
Analisis penerapan teknologi pertanian di Desa Sroyo: studi kasus pada petani padi dan sayuran
Authors: Alya Nur Aida Farah , Fitriawan Hafidz Rizki , Wahab M. Ghozali Abdul , Wardhani Olivia Putri , Aanjani Salsabila Railla Putri , Antriyandarti Ernoiz
Published: July 2024

Background: The application of agricultural technology has an important role in increasing the productivity and efficiency of farming businesses. A case study in Sroyo Village, Jaten District, Karanganyar Regency shows that the application of technological innovations such as tractor engines, rice harvesting machines and rice milling units has had a positive impact on increasing agricultural yields. Apart from that, the transfer of knowledge and knowledge through extension by the Agricultural Extension Center (BPP) also contributes to improving farmers' skills in crop cultivation and animal husbandry. Methods: The analytical method used is the descriptive method. Findings: Although there are challenges such as environmental pollution due to industrial waste around agricultural land, this problem can be overcome by utilizing irrigation from local wells. The main potential of Sroyo Village lies in the rice commodity, where farmers are able to carry out three harvests a year, supported by the availability of adequate irrigation. Conclusion: The application of agricultural technology and knowledge transfer is expected to increase productivity, efficiency and quality of agricultural products, as well as support sustainable agricultural development in the region.
Character building in the tradition of Islamic education in Indonesia
Authors: Satibi
Published: July 2024

Background: Islamic educational institutions, such as mosques and madrasas, play an important role in the transmission of knowledge among Muslims. Although they have been recognized since ancient times, there is still a need to understand in depth the role and function of these Islamic educational institutions in building religious and general knowledge in Muslim societies. Methods: This study uses a descriptive-analytical approach to explain the roles and functions of Islamic educational institutions, focusing on mosques and madrasas. Data were collected through literature study, comparative analysis, as well as qualitative methods such as interviews and direct observation. The data were analyzed using content and comparative analysis methods to identify patterns of knowledge transmission and the role of Islamic education institutions in shaping the character and knowledge of Muslims. Results: The research findings show that Islamic educational institutions, such as mosques and madrasas, have a significant role in the transmission of knowledge among Muslims. Mosques are places where religious discussions and teachings take place, while madrasahs provide formal and classical education. The process of knowledge transmission in mosques and madrasas is supported by halaqahs and discussions between teachers and students, which help improve the understanding and application of knowledge. Conclusion: This study confirms the importance of Islamic educational institutions, such as mosques and madrasas, in the construction of religious and general knowledge in Muslim societies. Their role in the transmission of knowledge helps shape the character and understanding of Muslims, as well as strengthening the relationship between religion and science. Thus, efforts to strengthen and develop these Islamic educational institutions are important in strengthening the identity and scholarship of Muslims as a whole.
The Framework and Practice of the Official Accountability System in Macao
Authors: Seng Fok Ka , Yin Yifen
Published: July 2024

Since Macao’s return to the motherland nearly 25 years ago, a series of administrative reforms have been launched to continuously enhance the government’s governance capacity. The establishment and improvement of the accountability system for Macao officials is a significant administrative reform, which is related to the legitimacy of government governance and the trust of the Macao public in the government. Since 2005, the SAR government has responded to societal demands by initiating research on the establishment and improvement of official accountability systems, forming a dual accountability structure consisting of leadership and supervisory accountability, as well as primary official accountability. In the practical operation of the accountability system for officials in Macao, the existence of the administrative authorization system has led to unclear authority and responsibility relationships in Macao’s public administration, which in turn leads to the inability of official accountability to truly operate. The key to improving the accountability system for officials in Macao is to standardize the authorization system, avoid the personification of administrative authorization actions, and ensure that administrative authorization actions are within strict institutional limitations.
Corporate Culture and Internal Control in Petroleum Firms
Authors: Duong Vu Thi Kim , Bac Dang Thi
Published: July 2024

A company's perspective, conduct, communication style, and distinctive characteristics make up its corporate culture. Corporate culture is one of the main elements that contributes to a company's success. The purpose of this essay is to ascertain how corporate culture at Vietnam's National Petroleum Group (Petrolimex) affects internal control. The author's primary research methodology combines quantitative and qualitative approaches. Through quantitative research, the model is analyzed, quantified, and tested. We make use of primary data from an employee survey conducted by Petrolimex in Vietnam. Regression models are used to examine the 220 research sample. Research results have determined that corporate culture factors, such as creative culture (sig. = 0.000 < 0.05), affect positive internal control at Petrolimex. Based on the result, we propose governance implications for the business leaders of these firms to improve internal control. Besides, research results provide useful references for research on related issues.
A Case Study of Factors That Affect the Tired of Learning in Secondary School Students in Vietnam
Authors: NDH Nhung , NDH Giang
Published: July 2024

Students tired of learning is an old phenomenon of education, it has also become a common problem in each family, each school, and society. There are many factors which make students bored of studying. Along with the elements of the students themselves, there are 3 other factors also significantly affecting the phenomenon of bored school students, which come from the family, school, and society. This report uses the specific research method to generalize a case study of the disinterested in learning in secondary school students, this work hopefully generalizes the relationship between the phenomenon of bored students and the factors that cause this phenomenon.
Hotel Resort di Kawasan Wisata Waduk Jatiluhur Kabupaten Purwakarta Jawa Barat
Authors: Prasetyo Galih , Widiyanti Rina , Schiffer Lia Rosmala
Published: July 2024

The purpose of architectural criticism on the Jatiluhur Reservoir is to describe and emphasize a descriptive criticism that exists on the Jatiluhur Reservoir. The Jatiluhur Reservoir is located. Purwakarta Regency is part of the territory of West Java Province, which is situated between 107°30'–107°40' East Longitude and 6°25'–6°45' South Latitude, with an area of 971.72 Km2 or about 2.81 per cent of the area of West Java Province. The Purwakarta Reservoir has vast potential in West Java; development includes hotels, mosques, shopping area arrangements, camping, and parking lots.
Artificial Intelligence for the development of qualitative studies
Authors: Pérez Gamboa Alfredo Javier , Díaz-Guerra Diego D.
Published: July 2024

The integration of Artificial Intelligence (AI) is revolutionizing qualitative research by optimizing data collection and analysis. Tools such as machine learning and natural language processing enable the analysis of large volumes of information with precision and speed, facilitating the identification of patterns and trends. The adoption of virtual research methods, such as online focus groups and video interviews, has overcome geographical barriers, enabling the participation of diverse and representative samples, in addition to being more cost-effective and allowing real-time data acquisition. The incorporation of advanced biometric techniques, such as eye tracking, facial expression analysis, and neuroimaging, provides a more holistic and accurate understanding of consumers' emotional and subconscious responses. These innovations allow companies to adapt their marketing strategies and product designs more effectively, enhancing personalization and emotional resonance of the experiences offered.
A Practical Approach to Increase Crop Production Using Wireless Sensor Technology
Authors: Sonal Deepa , Mishra Khushboo , Haque Alimul , Uddin Faizan
Published: July 2024

Introduction; The global demand for food production continues to rise due to the growing population and changing consumption patterns. Traditional agricultural practices often fail to meet this demand efficiently, leading to the exploration of innovative technologies to enhance crop productivity. Wireless sensor technology (WST) has emerged as a promising tool to monitor and optimize agricultural practices, providing real-time data on various environmental parameters crucial for crop growth. Objective; This study aims to evaluate the effectiveness of wireless sensor technology in increasing crop production. By integrating WST into conventional farming practices, we seek to optimize resource usage, reduce waste, and improve crop yields. Methods; We have proposed an IoT-enabled soil nutrient classification and crop recommendation model to recommend crops. By incorporating machine learning, artificial intelligence (AI), the cloud, sensors, and other automated equipment into the decision-assisting system, farmers will be able to take decisive actions without relying entirely on regional farming offices. Results; The analysis showed that the plot using wireless sensor technology exhibited a significant increase in crop yield compared to the traditional plot. Soil moisture levels were maintained within optimal ranges, leading to better water usage efficiency. Additionally, the automated system adjusted fertilizer application based on real-time soil nutrient data, resulting in improved plant health and productivity. Conclusions; The integration of wireless sensor technology in agriculture presents a practical and effective approach to increase crop production. This technology enables precise monitoring and management of critical growth parameters, resulting in higher yields and more efficient resource use. Adopting WST can significantly contribute to meeting the global food demand while promoting sustainable farming practices.
ASURLU TÜCCARLARIN ANADOLU’DAKİ SÖMÜRGE FAALİYETLERİ
Authors: Arslantaş Yüksel , Miğal Serdar
Published: July 2024

Kendi sınırlarının ötesinde toprak ve ekonomik çıkar peşinde koşan devletler, farklı yöntemlerle amaçlarına ulaşmaya çalışmıştır. Bu sistemlerden birisi de baskı ve şiddetten uzak, başka ülkelerin hammadde kaynaklarını, ekonomik etkinliklerini kontrol ederek yapılan ticari sömürgeciliktir. Egemenlik alanını genişletmek, maddi niteliğini arttırarak daha nüfuzlu bir hale ulaşmak isteyen uluslar, ekonomik çıkarlarını ön planda tutarak sömürge arayışı içerisine girmiştir. Bu devletlerarasında yer alan Asurlular, sayısız ulusları bağrına basan Anadolu’da, ticaret ile başladığı kâr elde etme amacını sömürgeciliğe dönüştürmüştür. Asurlular, bu politikayı uygulayarak Anadolu’nun siyasi, sosyal, psikolojik ve ekonomik durumunun etkisiyle ortaya çıkan boşluğu doldurmuştur. Yani siyasi bir egemenlik altına alınmadan, ekonomik olarak sömürge haline getirilen Anadolu’nun sosyoekonomik yapısına yön vermiştir. Bu yönde çalışmanın amacı, devletlerin yalnızca savaşlar sonucunda yeterli güce sahip olmayan milletleri kontrol alına alıp sömürgeler oluşturmadığını, ekonomik ilişkileri ön planda tutup, iktisadi kaynaklara el koyma faaliyetlerini de kullanarak yayılmacı bir politika izlediğini ifade etmektir. Yani Anadolu topraklarının Asurlu tüccarlar tarafından alışılagelmiş himaye anlayışı dışında sömürüldüğünü ortaya koymaktır. Çalışmada Asurlu tüccarların Anadolu’da bulunan hammadde kaynaklarına yaklaşımları, yerli halk ve beyler ile olan ticari ilişkilerinin sömürgeciliği meydana getirme süreci eleştirel bir bakış açısıyla değerlendirilmiştir.
Pengaruh Adanya Chat GPT terhadap Penyelesaian Laporan Praktikum Mahasiswa Program Studi Teknik Informatika di Universitas Muhammadiyah Ponorogo
Authors: Balya Fauzia Sya’roni
Published: July 2024

This research aims to analyze the influence of AI Chat GPT in completing practicum reports by students of the Informatics Engineering Study Program at Muhammadiyah University of Ponorogo. The background to this research is based on the increasingly rapid development of AI technology, offering various conveniences in various fields, including education. The aim of the research is to analyze the extent to which Chat GPT influences students' ability to prepare practical reports effectively and efficiently. The research method used is a quantitative method by collecting data through a questionnaire using a Google form which was distributed to active students of the Informatics Engineering study program at Muhammadiyah University of Ponorogo. The results of this research show that Chat GPT significantly increases students' understanding of practical material, helps students solve problems encountered in preparing reports, and reduces the time needed to complete reports. The implication of this research is the importance of integrating AI technology in the learning process to increase student academic effectiveness and efficiency. However, appropriate policies are needed to avoid excessive dependence on this technology.
Security management systems: An opportunity for airport operators
Authors: Goodwin Stephen , Christensen Kersty
Published: July 2024

The use of management systems in addressing business risk is not unknown to the aviation industry and a number of discrete systems models already exist. The potential requirement to manage airport security from an outcomes-focused, risk-based approach provides an opportunity for airport operators to consolidate like functions. This paper explores the management systems approach and identifies one approach to streamlining the common systems requirements of airport operators.
More data and more data sharing: Navigating an open banking world
Authors: Dimachki Maha El
Published: July 2024

This paper discusses the significant changes which Financial services are undergoing. It lists the change drivers, which can be grouped into three categories that interact with each other: technology, consumer behaviour and regulation. Changes in regulation look set to open up banking and accelerate the pace of innovation. The introduction of Open Banking in the UK and PSD2 across Europe are significant developments in the retail banking and payments landscape, and the paper discusses how these have the potential to create opportunities and propositions that, if developed and delivered well, will benefit society. The fundamental means of realising many of these opportunities is financial data — accessing it, sharing it, processing it and storing it. As we see greater emphasis on the role of data, and consumers’ understanding of the value of their data, the concept of trust will make the open banking journey a success. Getting this right will open up opportunities for firms, consumers and the economy. Getting this wrong could well jeopardise these opportunities. The payments ecosystem is complex, and as it goes through this significant change. The paper advises that a concerted effort is required to put consumers at the heart of the industry’s propositions, to enhance trust and to make this a long-term success.
Complying with higher corporate action standards: The importance of booking the US taxation of corporate actions correctly, given the new cost-basis reporting law
Authors: Conlon Stevie D.
Published: July 2024

Newly enacted cost-basis reporting law requires brokers to provide the Internal Revenue Service (IRS) and US taxpayers with the adjusted basis and long-term/short-term character of gains and losses for stocks and other covered securities disposed on Form 1099-B. These new requirements will likely affect broker and custodian analysis of corporate actions, given the potential IRS penalty risks. A summary of some of the tax issues currently raised by corporate actions is provided because brokers will need to reassess their methods and assumptions regarding the US federal income tax treatment of corporate actions. This is due to their impact on the computation of basis and the holding period that will be required in complying with the new law.
Navigating compliance and regulations in marketing analytics: Upholding ethical standards and consumer trust
Authors: Sharma Animesh Kumar , Sharma Rahul
Published: July 2024

This paper delves into the multifaceted marketing analytics compliance and regulation landscape across diverse business sectors and legal frameworks. It discusses a spectrum of norms with respect to overseeing data collection, processing and utilisation in marketing endeavours. Stringent global laws govern the handling of personal data, necessitating strict adherence. The paper scrutinises pivotal compliance elements like consent, transparency and data security alongside pivotal legislation like the California Consumer Privacy Act and the General Data Protection Regulation. It assesses the implications for marketing analytics, emphasising rights regarding personal data access, erasure anonymisation methods and ethical data use. Non-compliance repercussions, encompassing legal and financial risks and reputational harm, are highlighted, as many industries are facing distinct regulatory challenges. The paper details the essential components of policies, training, monitoring and enforcement that are crucial to ensuring marketing compliance. It stresses the role of technology, advocating for marketing compliance software to streamline processes, monitor compliance and adapt swiftly to regulatory shifts. It elucidates the collaborative nature needed within marketing teams to achieve effective compliance management. The conclusion highlights how compliance software helps with regulatory updates, data privacy, monitoring and content assessment. This paper emphasises the dynamic nature of marketing analytics compliance, urging vigilance with regard to legislative alterations and technological advancements. The paper provides a comprehensive insight into managing compliance challenges in this evolving field while upholding ethical standards and fostering consumer trust.
The forensic professional’s perspective on fraud and fraud detection
Authors: Hedley Timothy P. , Girgenti Richard H.
Published: July 2024

As banks and other financial institutions become increasingly complex and rely more heavily on remote and online services, they face an ongoing and ever-changing challenge presented by fraudsters who also have devised increasingly sophisticated methods to commit fraud. An effective compliance and fraud risk management programme must incorporate better and more sophisticated ways to meet the challenge of fraud. To this end, most organisations are increasingly turning to data analytics to help devise better methods to prevent and detect fraudulent activities. At the core of this effort to develop technology solutions to combat fraud are the skills, experience and competencies of forensic professionals. It is essential that any fraud risk management programme rely upon and leverages the diverse expertise of forensic professionals who will have the industry expertise, understanding of regulatory mandates, knowledge of fraud and their red flags and the various schemes devised to commit fraud. These professionals must also possess the investigative and forensic accounting acumen to detect fraud and the data analytic competency to help programmers and data scientists devise the rules and algorithms required to detect fraud and, ultimately, the ability to identify and investigate the data anomalies that will result and require further analysis. This paper discusses the unique perspective and expertise of the forensic professional, the nature of fraud, the forensic fraud detection process, sample banking fraud schemes and how the forensic competencies inform and enhance the power of data analytic processes from rules-based to artificial intelligence (AI) and predictive analytics.
Thieves Inc.: A closer look at the University of Sheffield's award-winning student safety campaign
Authors: Roberts Malcolm , Beardmore Georgina
Published: July 2024

In 2015, students at the University of Sheffield responded to the university's annual Student Communications Survey by saying that they would like more safety information from the university. In response, the Student Communications Team developed Safe Sheffield, a city-wide initiative that would act as an umbrella for various campaigns tackling different aspects of safety for the 59,000+ students living in the city. The first of these campaigns, Thieves Inc., was launched in September 2016 and dealt with the theme of burglary and property theft. In contrast to other theft-awareness campaigns aimed at students, and instead of focusing on scare tactics, Thieves Inc. took a humorous approach in an attempt to get students to engage with the message. Thieves Inc. was an ambitious multi-platform campaign comprising a mockumentary-style film, five shorter 'theme' films, strong social media and print campaigns, and a custom-built website. Although arguably risky, Thieves Inc. was extremely well received by students and the wider Sheffield and higher education communities (winning 'Best Marketing and Communications Campaign' at the Guardian University Awards and Gold in the 'Best Low Budget Initiative' category at the HEIST Awards in 2017) and has paved the way for similarly unconventional campaigns by the Student Communications Team in future.
Sharing hidden know-how: How managers solve thorny problems with the ‘Knowledge Jam’
Authors: Pugh Katrina
Published: July 2024

Putting knowledge to work is the ultimate goal of any digital asset strategy. However, there are three obstacles. First, it is often not known what knowledge and expertise reside in the organisation. Or secondly, if it is known, that knowledge and expertise is in a format or packaging that is difficult for employees to use. And thirdly, knowledge is not stored or searchable in an intuitive, connected manner. Digital asset management (DAM) leaders are often focused on the last of these three issues. Yet, an ability to address all three — to bring to the surface and codify hidden insight in a manner that results in rapid productive uses of that insight — is a growing imperative in any programme focused on knowledge capital. This is the purpose of the ‘Knowledge Jam’. In this paper, Katrina Pugh’s ‘Sharing hidden Know-How’ is introduced. In the book, the author provides a practical introduction to the Knowledge Jam process, with the disciplines of facilitation, conversation, and translation (on and offline). She describes the rationale for the disciplines: overcoming Knowledge Blind Spots, Mismatches, and Knowledge Jails during disruptions such as company or team transitions, mergers, innovation imperatives, or employee retirements. These disciplines should be at the heart of our digital programmes: they get us to collaborate on critical content, and to seed a culture of intention, openness, and stewardship.
Lost in noise? Some thoughts on the use of machine learning in financial market risk measurement
Authors: Quell Peter
Published: July 2024

Machine learning has permeated almost all areas in which inferences are drawn from financial data. Nevertheless, in financial market risk measurement most machine learning techniques struggle with some inherent difficulties: Financial time series are very noisy, not stationary and mostly considerably short. This paper contains an easy to implement sequential learning algorithm that overcomes some of these disadvantages. It is based on a Kalman filtering mechanism for quite general stochastic processes and provides a first step in the direction of separating parameter dynamics from the ubiquitous noise component. The core idea here is to use some stylised facts inherent to financial markets time series such as time varying measures of volatility. The new approach is tested using real market data in two different settings. First, a hypothetical portfolio containing credit spread and equity risk is analysed over a time frame containing the outbreak of the global pandemic in 2020 and the beginning of the Russian attack on Ukraine in 2022. Another analysis is focused on US$/EUR exchange rate during a time span containing the global financial crisis of 2008 and the subsequent European sovereign crisis. In all test calculations the proposed sequential learning algorithm performs better than the historical simulation approach used by many firms in the banking industry to meet regulatory capital requirements. Due to its simplicity this method has a high degree of explainability and interpretability which will decrease the inherent model risk. The paper concludes with a discussion of model risk for machine learning in financial institutions. Compared to classical model risk frameworks, the emphasis must be put on the more prominent role of data. The simple approach described in this paper shows that machine learning in financial market risk does not have to get lost in noise.
The relationship between traffic congestion and land uses: A case study of Al-Kut city, Iraq
Authors: Jasim Ihsan Abbas , Mahmood Thaer Sh. , Al-Mamoori Sohaib K. , Al-Maliki Laheab A.
Published: July 2024

Traffic congestion is one of the major problems that contemporary cities need to address. Decision makers in cities, interested in finding appropriate strategic solutions to a very complex problem, are faced with an ever greater headache each year. The solutions available should not cost billions of dollars or lead to the construction of bridges or tunnels that move the problem from one place to another, thereby creating new bottlenecks. Individuals who drive in these congested areas often sit for long periods in traffic, and this leads to physical and emotional stress as well as decreased performance and productivity. This study constructed a mathematical model that illustrates the relationship between traffic congestion and the distribution of land use in the city of Al-Kut, demonstrating that land use planning can have a significant impact on congestion levels in the near and long term.
Sustainability policies for an industrial corporation's real estate management: A case study
Authors: Erneker Sabine , Glatte Thomas
Published: July 2024

This report analyses BASF Group and its corporate real estate management. In the first section, an introduction to the business and overview of BASF is carried out. The second section evaluates critically the existing real estate portfolio and provides an evaluation of BASF's ambition to implement in 2012 a sustainability strategy in its corporate real estate portfolio, which matches the firm's commitment to sustainability in its business guidelines. To generate this case study, information within the public domain was used, as well as first-hand information from BASF's Real Estate & Facility Management department.
Decoding the modern sports fan
Authors: Reisman Mike , Eccleston Jeff
Published: July 2024

This paper has been designed to provide a roadmap for marketers to identify which consumers are most responsive to marketers’ investments, where to find them and how to communicate with them in order to maximise the success of their company's sponsorship investment. The research revealed some fascinating insights, none more so than the understanding that measures of passion and avidity are superficial compared with brand receptivity. The primary theme of the paper is identifying which consumers are willing to have a dialogue with the brand and which simply do not care. The startling fact is that many brands (in the context of sports marketing) simply do not know and are investing in a marketing mix that is not optimised for success.
EU regulation on data protection: One continent, one law and the impact of the new requirements
Authors: Resta Fabio Di
Published: July 2024

This paper provides an overview of the new EU General Data Protection Regulation (GDPR), before analysing some of the new legal requirements in more detail. One such requirement is the one-stop shop — a new mechanism which will require much work at the institutional level as national data protection authorities will be obliged to maintain continuous communication with each other and to coordinate their decisions. With regard to the right to judicial remedy against data controllers, the principle of proximity is essential for the effective protection of data subjects’ rights. Again, however, this will require much work at an institutional level. The role of data protection officer, although established in a number of member states, remains to be fully considered in other member states. The GDPR gives all data controllers the opportunity to enhance their privacy awareness and thus develop a comprehensive understanding of all potential privacy risks in order to take the right countermeasures to mitigate them. In conclusion, the GDPR is to be lauded for addressing many of the crucial obstacles to creating a single digital market. Nevertheless, the complex process of applying the new regulation is only just beginning, and only with the cooperation of data controllers and the various European institutions will it be possible to guarantee its effective and consistent application.