bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Perilaku Konsumtif Terhadap Daya Beli Saat Flash Sale Shopee
Authors: Ifahmuzda Muzdalifah , Purnomo Agus 
Published: February 2024

Advances in information technology cause changes in all aspects of life, one of which is in the aspect of trade, buying and selling trade can be done online, one of the online shopping media is shopee. The purpose of this study is to analyze consumptive behavior towards purchasing power during shopee flash sales. The type of research used is a qualitative approach with primary and secondary data sources with three active shopee user speakers, using data collection techniques in the form of observation, interviews and documentation. And using data analysis techniques in the form of descriptive data analysis techniques. Keywords—Consumen Behavior, Purchasing Power, Flash Sale Shopee Kemajuan teknologi informasi menyebabkan perubahan pada semua aspek kehidupan salah satunya dalam aspek perdagangan, perdagangan jual beli dapat dilakukan secara online salah satu media belanja online adalah shopee. Tujuan peneletian ini adalah untuk menganlisis perilaku konsumtif terhadap daya beli saat flash sale shopee. Jenis penelitian yang digunakan yaitu pendekatan kualitatif dengan sumber data primer dan sekunder dengan tiga orang narasumber pengguna shopee aktif, dengan menggunakan teknik pengumpulan data berupa observasi, wawancara dan dokumentasi. Dan menggunakan teknik analisis data berupa teknik analisis data deskriptif Kata kunci— Perilaku Konsumtif, Daya Beli, Flash Sale Shopee
Effects of Migration and Displacement on Human Rights and Development in Sub-Saharan African
Authors: Mwanzia Peterson 
Published: February 2024

Purpose: The aim of the study was to investigate effects of migration and displacement on human rights and development
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Migration and displacement profoundly affect human rights and development, highlighting the urgent need for coordinated action at local, national, and international levels to ensure the protection and well-being of all individuals affected by these processes.
Unique Contribution to Theory, Practice and Policy: Human rights-based approach (HRBA), structural violence theory & transnationalism theory may be used to anchor future studies effects of migration and displacement on human rights and development. Implement robust human rights monitoring mechanisms in migration and displacement contexts, ensuring that individuals' rights are safeguarded throughout their journey. Develop and enforce policies that explicitly incorporate a human rights-based approach to migration and displacement. States should ratify and implement relevant international conventions, ensuring the rights of migrants and displaced persons are respected.
LEVERAGING GIS FOR ENHANCED COMMUNITY ENGAGEMENT IN ELECTIONS: A REVIEW OF PRACTICES, IMPACT, AND CIVIC RESPONSIBILITY
Authors: Preye Winston Biu  , Johnson Sunday Oliha  , Ogagua Chimezie Obi  
Published: February 2024

In contemporary democracies, fostering active citizen participation in electoral processes stands as a fundamental pillar of governance. Leveraging Geographic Information Systems (GIS) has emerged as a potent tool in facilitating enhanced community engagement in elections. This review delves into a comprehensive review of practices, impact, and civic responsibility associated with the integration of GIS in electoral processes. GIS technologies offer a spatial dimension to electoral data, enabling stakeholders to visualize, analyze, and disseminate information pertinent to the voting populace. Through the amalgamation of geospatial data with electoral information, GIS facilitates the creation of interactive maps, demographic profiling, and spatial analysis, thereby empowering both electoral authorities and citizens with valuable insights. Moreover, GIS aids in optimizing electoral resource allocation, ensuring equitable distribution of polling stations, and enhancing accessibility for voters, particularly in marginalized or remote areas. The impact of GIS in elections is multifaceted. By providing a platform for informed decision-making, GIS enhances electoral transparency, integrity, and accountability. Real-time monitoring of electoral activities fosters proactive responses to emerging challenges, thereby mitigating potential disruptions and ensuring the integrity of the electoral process. Additionally, GIS facilitates targeted voter outreach campaigns, enabling electoral authorities to tailor their initiatives based on demographic characteristics, thereby promoting inclusivity and voter enfranchisement. Furthermore, the integration of GIS in electoral processes underscores the civic responsibility incumbent upon both citizens and electoral authorities. By promoting spatial literacy and fostering public awareness of electoral procedures, GIS empowers citizens to actively engage in the democratic process. Conversely, electoral authorities bear the responsibility of harnessing GIS to uphold electoral integrity, safeguard voter rights, and foster trust in the electoral system. The utilization of GIS in elections represents a paradigm shift in promoting enhanced community engagement, transparency, and accountability. By leveraging spatial technologies, electoral processes become more accessible, inclusive, and responsive to the needs of the electorate, thereby reinforcing the foundations of democracy and civic responsibility.
Keywords: GIS, Elections, Community Engagement, Civic Responsibility, Electorate, Review.
AI-DRIVEN WASTE MANAGEMENT SYSTEMS: A COMPARATIVE REVIEW OF INNOVATIONS IN THE USA AND AFRICA
Authors: Zamathula Queen Sikhakhane Nwokediegwu  , Ejike David Ugwuanyi  , Michael Ayorinde Dada  , Michael Tega Majemite  , Alexander Obaigbena  
Published: February 2024

The burgeoning challenges of waste management have propelled the integration of artificial intelligence (AI) into waste management systems, aiming to enhance efficiency, sustainability, and environmental impact. This abstract delves into the comparative review of AI-driven waste management innovations in the USA and Africa, illuminating the divergent strategies employed to address distinct contextual demands. In the USA, where waste management infrastructures are relatively advanced, AI technologies are leveraged to optimize waste collection routes, automate sorting processes, and enhance recycling efficiency. Machine learning algorithms analyze historical data to predict waste generation patterns, enabling municipalities to allocate resources more effectively. Additionally, robotic sorting systems equipped with computer vision contribute to the accurate segregation of recyclables, reducing contamination and promoting a circular economy. Conversely, in Africa, where waste management infrastructures may be less developed, AI applications prioritize scalable and adaptable solutions. Mobile applications powered by AI facilitate crowd-sourced waste reporting, enabling citizens to actively participate in waste management efforts. Furthermore, sensor-equipped smart bins optimize collection routes in real-time, improving resource utilization. The emphasis on community engagement and decentralized solutions reflects the unique challenges and opportunities present in African waste management contexts. Despite these regional disparities, common themes emerge, such as the role of data analytics, automation, and community involvement in shaping effective waste management systems. The comparative analysis underscores the importance of tailoring AI-driven innovations to the specific socio-economic and infrastructural landscapes of each region. Ultimately, understanding the nuanced approaches in the USA and Africa can inform a more holistic and globally adaptable framework for AI-driven waste management systems.
Keywords: Al, Waste Management, USA, Africa, Innovation, Sanitation.
INTEGRATED SIMULATION FRAMEWORKS FOR ASSESSING THE ENVIRONMENTAL IMPACT OF CHEMICAL POLLUTANTS IN AQUATIC SYSTEMS
Authors: Ayodeji Abatan  , Alexander Obaigbena  , Ejike David Ugwuanyi  , Boma Sonimitiem Jacks  , Uchenna Joseph Umoga  , Onyeka Henry Daraojimba  , Oluwaseun Augustine Lottu  
Published: February 2024

The environmental integrity of aquatic ecosystems is increasingly threatened by the discharge of chemical pollutants, posing significant risks to biodiversity and human health. Addressing these concerns requires a comprehensive understanding of pollutant dynamics, transport mechanisms, and their ecological consequences. Integrated simulation frameworks have emerged as powerful tools for assessing the environmental impact of chemical pollutants in aquatic systems. This review explores the key components and applications of such frameworks, highlighting their role in informing environmental management and policy decisions. Integrated simulation frameworks integrate multidisciplinary knowledge, encompassing hydrodynamics, water quality, ecological processes, and chemical fate and transport models. By combining these elements, these frameworks offer a holistic approach to assessing pollutant behavior in aquatic environments. They simulate complex interactions among physical, chemical, and biological processes, providing insights into pollutant dispersion, transformation pathways, bioaccumulation, and ecological responses. One notable aspect of integrated simulation frameworks is their ability to account for spatial and temporal variability in pollutant concentrations and environmental conditions. Through numerical simulations, these frameworks can predict pollutant dispersion patterns under different scenarios, including varying pollutant sources, hydrological conditions, and mitigation measures. Furthermore, they facilitate the evaluation of potential management strategies and the identification of critical pollutant sources or sensitive ecological receptors. The application of integrated simulation frameworks spans various environmental contexts, from local-scale water bodies to large river basins and coastal regions. They have been instrumental in assessing the impact of industrial discharges, agricultural runoff, urban stormwater runoff, and accidental spills on aquatic ecosystems. Additionally, these frameworks support risk assessment studies, pollution prevention planning, and regulatory compliance efforts. In conclusion, integrated simulation frameworks represent a valuable tool for understanding and managing the environmental impact of chemical pollutants in aquatic systems. By synthesizing diverse data sources and modeling approaches, they provide a comprehensive framework for decision-makers to address pollution challenges and safeguard the health and sustainability of aquatic ecosystems. Continued advancements in modeling techniques and data integration hold promise for enhancing the predictive capabilities and utility of these frameworks in supporting evidence-based environmental management practices.
Keywords: Simulation, Chemical, Pollutants, Aquatic, Environmental, Review.
OPERATIONAL READINESS AND ASSURANCE (OR&A) IN ASSET INTEGRITY: STRATEGIES FOR EXCELLENCE IN FACILITY MANAGEMENT
Authors: Patrick Oputa Odili  , Cosmas Dominic Daudu  , Adedayo Adefemi  , Ifeanyi Onyedika Ekemezie  , Gloria Siwe Usiagu  
Published: February 2024

Operational readiness and assurance (OR&A) play a pivotal role in ensuring the integrity and reliability of assets within the oil and gas sector. This review explores methodologies and best practices aimed at achieving excellence in facility management, with a focus on meticulous operational readiness and assurance within the asset integrity framework. The review delves into the critical importance of OR&A in mitigating operational risks, enhancing safety, and maximizing asset performance throughout their lifecycle. It examines the key components of effective facility management, including maintenance planning, risk assessment, compliance management, and emergency preparedness. Furthermore, the review highlights the methodologies and strategies employed to ensure operational readiness and assurance, emphasizing the significance of proactive maintenance, robust inspection protocols, and data-driven decision-making. It discusses the role of advanced technologies such as predictive analytics, condition monitoring systems, and digital twins in enhancing operational efficiency and asset reliability. Moreover, the review underscores the importance of a holistic approach to facility management, encompassing people, processes, and technology. It examines case studies and industry examples that demonstrate successful implementation of OR&A strategies, showcasing tangible benefits such as improved uptime, reduced downtime, and optimized resource utilization. Overall, this review underscores the critical role of operational readiness and assurance in asset integrity management within the oil and gas sector. By adopting meticulous facility management practices and leveraging advanced technologies, organizations can enhance operational excellence, mitigate risks, and achieve sustainable performance across their asset portfolios.
Keywords: OR&A, Asset Integrity, Strategies, Excellence, Facility Management.
INTEGRATING ADVANCED TECHNOLOGIES IN CORROSION AND INSPECTION MANAGEMENT FOR OIL AND GAS OPERATIONS
Authors: Patrick Oputa Odili  , Cosmas Dominic Daudu  , Adedayo Adefemi  , Ifeanyi Onyedika Ekemezie  , Gloria Siwe Usiagu  
Published: February 2024

The oil and gas industry is witnessing a paradigm shift in corrosion detection, inspection methodologies, and maintenance practices due to the integration of advanced technologies. This paper explores how cutting-edge technologies, including artificial intelligence (AI), robotics, and the Internet of Things (IoT), are revolutionizing corrosion and inspection management in oil and gas operations. AI-powered algorithms enable predictive maintenance by analyzing vast datasets to identify corrosion patterns and predict equipment failure. Robotics plays a pivotal role in remote inspection, offering unprecedented access to critical infrastructure while minimizing human risk. Additionally, IoT sensors provide real-time monitoring of corrosion rates, temperature, and pressure, facilitating proactive maintenance and enhancing asset integrity management. This deep dive into advanced technologies reveals their synergistic impact on corrosion management, inspection processes, and maintenance strategies in the oil and gas industry. By leveraging AI, robotics, and IoT, operators can optimize asset performance, extend equipment lifespan, and minimize downtime, ultimately enhancing operational efficiency and ensuring regulatory compliance. Through case studies and industry examples, this paper illustrates the practical application of advanced technologies in corrosion detection, inspection management, and maintenance optimization. Furthermore, it discusses the challenges and opportunities associated with the integration of these technologies, highlighting the need for data standardization, cybersecurity measures, and workforce upskilling. As the oil and gas sector embraces digital transformation, the adoption of AI, robotics, and IoT in corrosion and inspection management is poised to drive significant improvements in asset reliability, safety, and environmental stewardship. This paper underscores the importance of embracing innovation to address industry challenges and unlock new opportunities for sustainable operations in the oil and gas sector.
Keywords: Advanced Technologies, Corrosion, Inspection, Management, Oil and Gas.
التحليل المكاني لخصائص أعضاء هيئة التدريس بجامعة سبها 2021م.
Authors: شخنوب وفاء محمد عطية , الطاهر أروى محمد النعاس 
Published: February 2024

يعتبر التوزيع الجغرافي للمستوى التعليمي من الخصائص السكانية التي توثر في الوضع الاقتصادي والاجتماعي، وتمثل شريحة حملة الماجستير والدكتوراه أعلى مستوى تعليمي في المجتمع، لذلك تهدف هذه الدراسة إلى تحليل تباين التوزيع الجغرافي لأعضاء هيئة التدريس بجامعة سبها المرتبط بالظروف الاقتصادية والاجتماعية للتعرف على أنماط التركز المختلفة وخصائصها. وقد اعتمدت الدراسة على المنهج التحليلي، استنادا على تحليل استمارة الاستبيان التي تمثل 22% من إجمالي أعضاء هيئة التدريس بجامعة سبها، واستخدمت الدراسة مقياس حاصل الموقع للتعرف على نماذج تركز أعضاء هيئة التدريس، وتكمن أهمية الدراسة في أنها تبيّن نماذج تركز أعضاء هيئة التدريس في إقليم فزان ومدينة سبها، وتباين ظروفهم الاقتصادية والاجتماعية، واستخدامها لدراسة سبل تحسين وضع الموارد البشرية في الجامعة. وأظهرت النتائج أنّ توزيع أعضاء هيئة التدريس في إقليم فزان قد تباين بين مناطق التركز المرتفع جداً في بلدية سبها، ومناطق التركز المنخفض في بلديات الشاطئ ومرزق وأوباري وغات. كما تباين توزيع أعضاء هيئة التدريس في مدينة سبها بين خمس مستويات: مناطق للتركز المرتفعة جداً في حجارة، والمرتفع في المهدية والثانوية والقرضة، ثمَّ المعتدل في حيي المنشية وسكرة، وأخيراً المنخفض في أحياء الجديد وإقعيد والناصرية، والمنخفض جداً في حي عبدالكافي. وكانت الأسباب الرئيسية لاختيار مكان الإقامة تتمثّل في أنه مكان الإقامة الأصلي وللعمل في الجامعة، ثمَّ الروابط الاجتماعية. وتبيّن ارتفاع قيمة المتغيرات الاقتصادية لأعضاء هيئة التدريس في مناطق التركز المرتفع مقارنةً بمناطق التركز المنخفض.
Penanganan Check-in Tamu Free Individual Traveller di Le Grande Bali Uluwatu
Authors: Seniartha I Wayan , Fraciska Ni Putu Erica Putri , Pitanatri Made Uttari 
Published: February 2024

Tujuan dari penelitian ini adalah untuk menganalisis penanganan check-in tamu Free Individual Traveller berdasarkan standard operating procedure. Jumlah sampel pada penelitian ini sebanyak 7 staff dengan menggunakan metode wawancara dan observasi. Pengumpulan data dilakukan dengan menggunakan bantuan pertanyaan untuk narasumber, data diambil dari narasumber yang menangani tamu check-in yaitu Guest Service Agent dan Front Office manager, selain itu pengumpulan data juga dilakukan dari hasil observasi terhadap GSA mengenai penanganan check-in tamu FIT di Hotel Le
Grande Bali Uluwatu. Teknik analisis data yang digunakan pada penelitian ini adalah metode penelitian deskriptif kualitatif berdasarkan Standard Operating Procedure dalam menangani check-in tamu FIT di Hote Le Grande Bali Uluwatu. Hasil dari penelitian ini menunjukkan bahwa secara umum prosedur penanganan check-in tamu FIT di Hotel Le Grande Bali Uluwatu belum sesuai dengan SOP yang ada. Dapat dikatakan belum sesuai karena Hotel Le Grande Bali Uluwatu mengharapkan 100% prosedur tersebut diterapkan, sedangkan angka presentase hanya mencapai 70%. Berdasarkan hasil penelitian, saran yang dapat diberikan adalah sebaiknya hotel Le Grande Bali Uluwatu hendaknya menyampaikan pengarahan sebelum bekerja dan sesudah bekerja agar selalu menerapkan standard operating procedure dan adanya kesadaran dari guest service agent dalam penerapkan SOP demi menunjang pelayanan di hotel.
Pengaruh Motivasi Kerja dan Penghargaan Terhadap Loyalitas Karyawan di XYZ Hotel Bali Uluwatu
Authors: Chandra Agnes , Rastitiati Ni Kade Juli , Kalpikawati Ida Ayu 
Published: February 2024

Tujuan dari penelitian ini adalah menganalisis pengaruh motivasi kerja dan penghargaan terhadap loyalitas karyawan diXYZ Hotel Bali Uluwatu. Data dikumpulkan melalui penyebaran kuesioner kepada 63 responden dari berbagai departemen di XYZ Hotel Bali Uluwatu. Teknik analisis data yang digunakan adalah uji asumsi klasik, analisis regresi linear berganda, analisis determinasi, analisis korelasi, uji-t, dan uji F. Alat analisis data yang digunakan adalah program SPSS Version 25 for Windows. Hasil penelitian menunjukkan bahwa motivasi kerja memiliki pengaruh positif dan signifikan terhadap loyalitaskaryawan dengan nilai signifikansi sebesar 0,003<0,05. Demikian pula pemberian penghargaan berpengaruh positif dansignifikan terhadap loyalitas karyawan dengan nilai signifikansi sebesar 0,009<0,05. Motivasi kerja dan penghargaan secara simultan berpengaruh positif dan signifikan terhadap loyalitas karyawan dengan nilai signifikansi sebesar 0,000<0,05 dannilai R2 sebesar 52,6%. Berdasarkan temuan penelitian, disarankan bahwa XYZ Hotel Bali Uluwatu diharapkan dapat meningkatkan motivasi kerja dan memberikan penghargaan tambahan seperti ekstra upah, bonus, fasilitas karir, dan sebagainya untuk meningkatkan loyalitas dan keterikatan karyawan di XYZ Hotel Bali Uluwatu.
Evaluasi User Experience Pada Aplikasi SignalPolri Menggunakan Metodologi UX Honeycomb
Authors: Andreas Jovianus Abel , Misael Juan , Arifin Alvian 
Published: February 2024

Pergolakan pada aspek pelayanan mendorong adanya pembaharuan dan pengembangan secara digital, yang beralih dari sistem manual. Aplikasi SignalPolri merupakan aplikasi berbasis SPBE yang dikelola pemerintah untuk melakukan pembayaran pajak kendaraan bermotor dan pembayaran sumbangan wajib dana lalu lintas angkutan jalan bagi pemilik kendaraan, SIGNAL memiliki sistematika yang menggunakan data pada database kendaraan bermotor yang dimiliki polri dan memiliki pusat di Dukcapil kemendagri. SPBE yang merupakan bagian dari kebijakan yang didorong cukup signifikan sebagai bukti bahwa memiliki urgensi yang tinggi dalam dinamika kebijakan khususnya dibidang pelayanan. Hal ini mendorong adanya evaluasi secara berkesinambungan untuk mendapat progress yang signifikan pada implikasinya. Pada aplikasi ini terdapat ketimpangan dan pengembangan dalam platform yang berbeda yaitu android dan IOS. Hal ini mendorong adanya penelitian untuk menguji responsibilitas dari pemerintah terkait pengembangan aplikasi SignalPolri. Penelitian ini akan mengevaluasi user experience menggunakan metode UX Honeycomb, yang dibagi kedalam 7 aspek. Dari 118 responden yang dikumpulkan menggunakan google form mendapat hasil evaluasi cukup baik dari indikasi nilai 1 sampai 5,yang mana dari 9 pertanyaan yang mewakili tiap aspek,hasil yang didapatkan dari indikator dengan rata-rata nilai 3 yaitu cukup baik
Perbedaan Kemampuan Teknik Gambar Self-Directed Learning dan Tutor Sebaya di Kelas X DPIB SMK Negeri 2 Medan
Authors: Azahar Ridho , Siregar Syafiatun 
Published: February 2024

Penelitian ini bertujuan untuk mengetahui adanya perbedaan kemampuan teknik gambar yang diajar dengan model pembelajaran Self-Directed Learning dan model pembelajaran Tutor Sebaya di Era Merdeka Belajar pada mata pelajaran Gambar Teknik kelas X DPIB di SMK Negeri 2 Medan. Metode penelitian yang digunakan adalah quasi eksperimen dengan populasi kelas X DPIB yang terdiri dari 2 kelas dengan jumlah 64 siswa. Teknik Pengumpulan data menggunakan tes hasil belajar dalam bentuk soal pilihan ganda sebanyak 30 soal valid dan lembar kerja peserta didik sebagai nilai keterampilan. Data dianalisis dengan menggunakan perhitungan independent sample t test melalui program SPSS versi 23. Hasil penelitian menunjukkan bahwa: pertama, rata-rata hasil belajar siswa yang diajar dengan model pembelajran Self-Directed Learning lebih tinggi daripada model pembelajaran Tutor Sebaya (77,28 > 63,88). Kedua, rata-rata nilai keterampilan siswa yang diajar dengan model pembelajran Self-Directed Learning lebih tinggi daripada model pembelajaran Tutor Sebaya (68,09 > 63,75). Ketiga, nilai t pada t-test for equality of means sebesar 3,625 sedangkan nilai t tabel yaitu 1,670 maka uji hipotesis ditolak ( > ). Maka dapat disimpulkan bahwa adanya perbedaan kemampuan teknik gambar yang diajar dengan model pembelajaran Self-Directed Learning dan Tutor Sebaya di Era Merdeka Belajar.