bluuebunny/crossref_metadata_2025 huggingface dataset:
PENILAIAN PERTUMBUHAN HASIL BEBERAPA PERSILANGAN BENIH JAGUNG (ZEA MAYS)
Authors: Sembiring Hendra Kurniawan , Alqamaril Muhammad , Abd Rahman Faizah Salvana , Yaseer Suhaimi Mohd Yaseer Suhaimi , Maznan Ahmad Firdaus
Published: February 2025

Seed quality is the beginning of the success of a production process, corn germination test is needed so that this cross produces quality seeds. This research aims to determine the seed germination test carried. The research used a non-factorial randomized block design with 4 levels T1 (1 male :2 woman), T2 (Ratio 1 male :3 woman), T3 (Ratio 1male :4 woman), and T4 (Ratio 1male :5 woman). The germination percentage is calculated using the formula: germination percentage (%) = number of germinated seeds & number of seedsx100. The observations used are germination percentage, germination speed, germination index (G1), average seed germination (MGT) and normal and abnormal seed numbers. The results of the research showed that the percentage of corn seed germination in all replications showed the best results with seeds that grew in the range of 98%-100%. T1 (1 male: 2 females) showed the best speed of corn seed germination with 15.31 and the best average time of seed germination was shown in replicate T3 (1 male: 4 females) with an average of 3.74. The results showed that p < 0.05 was not significantly different in corn germination.
PERANCANGAN APLIKASI LIGHT DEPENDENT RESISTOR (LDR) PADA PEMBANGKIT LISTRIK TENAGA SURYA UNTUK MENINGKATKAN ENERGI LISTRIK YANG DIHASILKAN SECARA OTOMATIS
Authors: Simamora Antonius , Siburian Jhonson Monang , Mutiara Piala , Sitohang Rasmi , Sinaga Joslen , Sinurat Fadlah Kaumenni
Published: February 2025

The purpose of this study is to design an application that utilizes Light Dependent Resistor (LDR) to increase the efficiency of solar power generation systems. The scope of this study includes the use of Light Dependent Resistor (LDR) in optimizing solar power generation systems, energy efficiency analysis, and the effect of changes in light intensity on solar panel performance. The methodology used is the method of data collection (case study) and data analysis obtained from experiments and designing applications using LDR to control the movement mechanism of solar panels to obtain light energy in real-time. The results show that the integration of this sensor can increase energy production by up to 23% compared to conventional fixed systems. This system not only increases the effectiveness of solar power generation but also contributes to reducing maintenance costs and supports sustainable energy practices. The conclusion of the study shows that automatic angle adjustment on solar panels increases energy capacity by 13-19% compared to panels with fixed angles. The average power generated reaches 11.57 watts, higher than 10.07 watts from fixed panels. The use of LDR also increases the intensity of light received.
LINIERISASI ITERATIF PADA METODE BEDA HINGGA UNTUK MEYELESAIKAN MASALAH KONDISI BATAS DIRICHLET PERSAMAN DIFERENSIAL BIASA NON LINIER
Authors: Sitompul Hery Andi , W.B.Siahaan Enzo , Simamora Antonius , Gultom Togar Timoteus , A Arfis , Mulia Mulia
Published: February 2025

Dirichlet boundary condition problems in nonlinear ordinary differential equations generally have to be worked out numerically by applying the concept of finite differences, producing a system of non-linear equations. The Newton and Broyden methods are very popular for solving a system of non-linear equations, but both require very long calculation times if the variables are on a large scale. The concept of iterative linearization of a system of non-linear equations produced by the finite difference method in a nonlinear differential equation, it will provide new insight into the problem of Dirichlet boundary conditions.
ANALISA KAPASITAS KEBUTUHAN SISTEM ENERGI LISTRIK PLN DAN PANEL SURYA UNTUK PROSES PEMBUATAN GARAM
Authors: Rossoleh Andriyan Herqi , Jamaaluddin Jamaaluddin , Sulistiyowati Indah , Ayuni Shazana Dhiya
Published: February 2025

This research discusses the utilisation of solar power plants (PLTS) in supporting salt production through a hybrid system with PLN electricity. The main objective is to design and optimise an efficient and sustainable renewable energy system, especially in remote areas with limited electricity supply and to determine the needs of PLN electricity and solar panel energy systems during the salt cooking process. This research method collects data by measuring various important components, such as the voltage from the inverter to the stove supplied from PLN electricity and solar panels to the battery. The test results show that salt production requires 700 watts of power from PLN for 1.5 hours with an average voltage of 195-196 volts and a current of 3.3-4 amperes. The voltage of the solar panel to the battery stabilised at 12.58 volts during sunny weather and decreased to 12.21 volts during cloudy weather. This research shows that the solar power plant for salt production has worked effectively. By building a hybrid system of PLN and solar panels to ensure the sustainability of salt production, especially in overcoming the instability of the power generated by solar panels due to weather changes
RESPON PENGGUNAAN PUPUK KASGOTCHAR DAN NPK MUTIARA TERHADAP PRODUKSI TANAMAN SAWI PUTIH (Brassica pekinensis L) VARIETAS TAHONO CR
Authors: Mufriah Dini , Lisdayani Lisdayani , Misdawati Misdawati , Adriansyah Adriansyah , Gusriani Yunda , Diani Diani
Published: February 2025

The demand for white mustard in the market will continue to increase every year in line with economic growth, population growth, and growth in people's income, both for food, medicine, or other purposes. One of the efforts made to maintain and improve soil fertility is by providing organic materials such as manure to the soil. The purpose of this study was to determine the response to the use of kasgotchar fertilizer and pearl NPK fertilizer on the production of white mustard (Brassica pekinensis L) varieties of Tahono CR. This study used a Factorial Randomized Block Design with 2 factors: Factor l, namely the provision of Biochar kasgot fertilizer (K) with 3 levels, namely: K0 = Control (0 kg / plot), K1 = 10 tons / ha (1 kg / plot), K2 = 20 tons / ha (2 kg / plot). Factor 2, namely the provision of NPK fertilizer 16: 16: 16 (P) with 4 levels, namely: N0 = Control (0 kg / plot), N1 = 100 kg / ha (0.01 kg / plot), N2 = 200 kg / ha (0.02 kg / plot), N3 = 300 kg / ha (0.03 kg / plot). The parameters observed in this study include fresh weight per crop and production per hectare (kg). The results of the study showed that the use of kasgotchar and NPK fertilizers did not differ significantly on fresh weight per crop, production per hectare. The best treatment was the K2N3 treatment (kasgotchar with a dose of 2 tons / ha, and NPK with a dose of 300 kg / ha. Kasgotchar fertilizer can improve soil chemical properties.
Evaluating Parental Leave: Examination of Policy Impact on Gender Equality and Family Well-Being
Authors: Kenzheali Yerkezhan
Published: February 2025

This study examines paid parental leave policies across selected countries, including Sweden, Finland, Bulgaria, Iceland, Estonia, and Kazakhstan. By conducting a comparative analysis of key parameters such as duration, eligibility criteria, benefit levels, and specific provisions for mothers and fathers, the study identifies trends, disparities, and best practices within these frameworks. Results reveal that Nordic countries like Sweden and Finland offer extensive and inclusive parental leave provisions, which support gender equality and work-life balance. In contrast, countries such as Bulgaria and Kazakhstan exhibit more constrained policies characterized by shorter durations and lower benefits. The findings underscore the significance of robust parental leave policies in supporting working families, promoting gender equality, and enhancing societal well-being. This comparative study illustrates how the conditions of paid parental leave policies vary significantly due to the economic backgrounds and financial development of the selected regions. This analysis would help to identify best practices that could be adapted to various socio-economic contexts, fostering a more inclusive and equitable society. Future research should explore the long-term effects of these policies on workforce participation and child development outcomes.
The Role of Women and Macroeconomic Factors in Sustainable Development
Authors: Kan Lyudmila , Malgarayeva Zhanat
Published: February 2025

Women’s economic participation and financial stability are key drivers of sustainable development, forming the foundation for equitable growth and long-term progress. This study investigates the relationship between macroeconomic factors, women’s economic participation, and sustainable development in Kazakhstan from 2013–2023. The analysis is focused on key indicators, including gross value added, deflator indices, shadow economy metrics, employment rates, and environmental protection investments. Two hypotheses were tested. Regression analysis was used: (1) structural factors such as economic growth, employment, and environmental policies significantly influence sustainable investments, and (2) women’s workforce participation positively impacts sustainable development.
The results confirmed the first hypothesis, supporting those macroeconomic indicators, particularly deflator indices and the shadow economy, significantly impact shaping investment patterns. However, the second hypothesis is only partially supported, as women’s employment correlates with economic growth but is hindered by persistent disparities in workforce representation and access to resources. The findings of the research contribute to the existing body of knowledge on the dual role of macroeconomic stability and gender inclusion in driving sustainable development while identifying structural barriers limiting women’s full economic potential. The results reveal the importance of targeted, inclusive policies to enhance gender equity and sustainable progress, offering valuable insights for policymakers in Kazakhstan and other emerging economies.
Policy Measures for Reducing Emissions in the Real Estate Sector – A Review
Authors: Jalil Mohd Azlan Ab. , Noor Noorsidi Aizuddin Mat , Lokman Nurul Saadah , Deris Farhana Diana
Published: February 2025

Drawing on empirical work, this study explores how policy can shift these emissions, two sectors responsible for 40% of original CO2 emissions globally. The research recognises the dual impacts of operational and embodied emissions, assessing policies in the US, UK, Germany, and China through the use of a comparative case study approach. The methodologies include national and international frameworks for content analysis. Key findings suggest a blended approach of regulatory and market-based instruments such as carbon pricing, green financing, and building codes addressing the barriers of high initial costs and fragmented regulations. Then, examine best practices with Germany’s energy audits and green financing, the UK’s stringent efficiency standards, and China’s renewable energy mandates. Germany leads with 73% green standards adoption, while China’s 35% real estate emissions highlight opportunities for sustainability investments globally. Progress is noted in Malaysia with some urban areas, but other rural areas lag behind due to limited resources and awareness. The study concludes that policies aimed at decarbonising real estate should be conducted with a holistic and contextual approach focused on sustainability, affordability, and equity. The implications are broader aligning real estate practices with global climate goals, encouraging the growth of green buildings, reducing climate risk, and more. Future research would better explore synergies, the integration of mitigation and adaptation policies, and financing challenges in developing regions. This study provides policymakers with actionable insights into the design of effective strategies, developers with cost-efficient green technologies, and the global community with collective progress towards a sustainable built environment.
Analysing the Use of Memes as a Messaging Strategy for Resilience and Crisis Communication
Authors: Okoronkwo Chizorom Ebosie
Published: February 2025

This review analyses the use of memes as a messaging strategy for resilience and crisis communication. Memes utilise the viral nature to convey messages rapidly and efficiently when employed as a communications tactic. This makes memes an essential tool in marketing strategy for resilience and crisis communication. This review is underpinned with the Situational Crisis Communication Theory (SCCT), which was developed by W. Timothy Coombs. Memes have evolved into powerful communication tools capable of conveying complex emotions, ideas, and social commentaries with remarkable speed and reach. They can quickly spread messages, counteract misinformation, and foster a sense of community among those affected. Memes have demonstrated their value in resilience communication by offering a platform for expressing shared experiences and fostering emotional connections. They empower individuals and communities to cope with adversity, using humour and relatability to make complex concepts more accessible. Memes contribute to the promotion of resilience by reinforcing social bonds and enabling people to find solidarity in difficult situations. Their capacity to resonate culturally and emotionally ensures that they remain relevant and impactful in digital communication. As the digital landscape continues to evolve, the role of memes in engaging audiences, building community, and promoting resilience will likely become even more pronounced, solidifying their place as central tools in both crisis and resilience communication strategies. It was concluded that memes are essential marketing strategy tools for resilience and crisis communication.
Translation of Humorous Language in The Big Bang Theory Sitcom
Authors: Rong Wang , Husin Norhazlina , Vijayarajoo Angeline Ranjethamoney
Published: February 2025

In the 21st century, improved living standards and advancements in mass media have made movies and TV dramas central to entertainment, with foreign productions, especially American dramas, gaining popularity in China. Their high-quality production and humor attract viewers, but cultural and linguistic nuances often challenge understanding. This has led to the rise of subtitle translation as a bridge between cultural and language gaps. Therefore, this study aims to analyse the translation of humorous language in the American sitcom The Big Bang Theory with two objectives: (i) to identify the humorous language used in the sitcom and (ii) to examine the translation procedures employed to translate the humorous language. This qualitative study adopts content analysis and comparative analysis to achieve these objectives. The framework includes the types of humor categorised by Schmitz (2002) and translation procedures by Newmark (1988). The findings reveal that 159 items of humorous language found in the sitcom can be categorised into three types: (i) universal humor, (ii) culture-based humor, and (iii) linguistic humor. Universal humor is the most prevalent, accounting for 145 occurrences (91.61%), while culture-based humor is the least frequent, with only four items (2.52%). The translation of humor in The Big Bang Theory uses procedures like paraphrasing, cultural equivalence, transference, label, notes, gloss, and functional equivalence to convey humor across cultures. These strategies adapt the text to target language norms, preserve cultural elements, and clarify complex concepts, ensuring the humor remains effective and relevant for the audience. It is hoped that this study will enhance the field of translation studies by offering a detailed examination of translation procedures used for humorous language in popular media, helping to bridge the gap between linguistic and cultural differences in humor translation.
Khảo sát sức kháng mất ổn định cục bộ của tấm thép có xét đến cấp thép tính năng cao SBHS500 và SBHS700
Authors: Đặng Việt Đức
Published: February 2025

Sức kháng mất ổn định cục bộ của tấm thép chịu nén kê giản đơn 4 cạnh là giá trị thiết kế quan trọng của một kết cấu công trình thép. Với ứng dụng của thép tính năng cao sẽ nâng cao đáng kể giá trị thiết kế này. Một số lượng lớn tấm thép kê 4 cạnh được khảo sát với áp dụng mô hình số theo phương pháp phần tử hữu hạn và giả thiết phi tuyến khi mô tả ứng xử của cấp vật liệu thép thông thường và thép tính năng cao SBHS. Mô hình xét đến ứng xuất dư và biến dạng ban đầu ở mức giới hạn cho phép để đánh giá công thức thiết kế sức kháng mất ổn định cục bộ của tấm thép trong quy trình thiết kế cầu đường bộ Nhật Bản hiện hành. Kết quả phân tích số chỉ ra công thức trong quy trình thiết kế Nhật Bản hiện hành là không an toàn trong phạm vi trung gian của tham số độ mảnh R của tấm thép và với cùng mức độ tham số độ mảnh R, ứng suất dư và biến dạng ban đầu, sức kháng của tấm đối chiếu với giá trị chảy dẻo (σu/σy) với cấp thép tính năng cao sẽ lớn hơn một chút của tấm với cấp thép thông thường
Nghiên cứu ảnh hưởng của độ dốc và độ rỗng đến khả năng thoát nước của bê tông nhựa rỗng bằng thí nghiệm mô phỏng mưa trong phòng
Authors: Huỳnh Văn Hiệp , Huỳnh Thị Mỹ Dung , Nguyễn Tấn Hưng , Phạm Minh Triết
Published: February 2025

Bê tông nhựa rỗng (BTNR) đã được sử dụng phổ biến để gia tăng khả năng thoát nước của mặt đường. Sự thoát nước này phụ thuộc vào nhiều yếu tố khác nhau như lưu lượng mưa, độ dốc thiết kế và độ rỗng của vật liệu. Nghiên cứu này được thực hiện với mục tiêu đánh giá khả năng thoát nước BTNR có xét đến ảnh hưởng của độ dốc và độ rỗng khác nhau. Thí nghiệm mô phỏng mưa được thực hiện cho mẫu BTNR có độ rỗng là 10% và 15% trong điều kiện lưu lượng mưa khác nhau. Kết quả thí nghiệm cho thấy khả năng thoát nước qua thân của mẫu BTNR tỷ lệ nghịch với độ dốc và tỷ lệ thuận với độ rỗng. Thêm vào đó, nghiên cứu này còn chỉ ra rằng ở cường độ mưa lớn, mẫu BTNR. Nghiên cứu còn cho thấy rằng, tại điều kiện cường độ mưa lớn, các mẫu BTNR có độ rỗng và độ dốc khác nhau cho kết quả tương tự như nhau về khả năng thoát nước. Kết quả trong nghiên cứu này giúp chúng ta hiểu rõ hơn về ứng xử thoát nước của BTNR. Trong tương lai, các thí nghiệm hiện trường cần được triển khai thực hiện để giúp các kỹ sư và các nhà khoa học hiểu rõ hơn về ứng xử cơ học và thoát nước của mẫu BTNR. Từ đó, vật liệu BTNR có thể được ứng dụng rộng rãi và hiệu quả góp phần chống ngập trong đô thị
Thiết kế IC khuếch đại thuật toán công suất thấp, độ ổn định nhiễu cao sử dụng công nghệ GPDK045
Authors: Trần Quốc Thịnh , Dương Anh Tú , Phạm Thanh Huyền
Published: February 2025

Thiết kế mạch tích hợp (IC) khuếch đại công suất thấp là một hướng nghiên cứu quan trọng trong kỹ thuật điện tử, đặc biệt là cho các thiết bị đeo, hệ thống thu thập dữ liệu và các ứng dụng thu thập năng lượng liên tục. Trong quá trình thiết kế vi mạch, một tập hợp các tệp được sử dụng trong ngành công nghiệp bán dẫn để mô hình hóa quy trình chế tạo, hỗ trợ các công cụ thiết kế IC, được gọi là bộ công cụ thiết kế quy trình (PDK). Có thể nói, PDK đóng vai trò quan trọng bậc nhất trong quá trình thiết kế; tới nay, PDK được phát triển bởi nhiều công ty và cải tiến từ kích thước vài trăm nanomet đến vài nanomet. Trong số đó, gpdk045 được sử dụng rộng rãi trong các nghiên cứu học thuật và công nghiệp. Chính vì vậy, chúng tôi sử dụng công nghệ 45 nm này để thiết kế vi mạch khuếch đại thuật toán công suất thấp, độ ổn định nhiễu cao. Kết quả mô phỏng cho thấy công suất tiêu thụ toàn mạch là 0,84 mW, hệ số nén đồng pha CMRR đạt 56,4 dB và hệ số loại trừ nhiễu nguồn PSRR đạt 126,4 dB ở tần số thấp dưới 1 kHz. Những kết quả này cho thấy Op-amp được đề xuất trong nghiên cứu này có thể được sử dụng để tạo ra các cảm biến tích cực cho việc thu thập năng lượng từ bước chân hoặc đo nhịp tim
Energy Consumption Patterns and Residential Carbon Footprint in Turkey
Authors: Kaya Mustafa
Published: February 2025

Purpose: The purpose of this article was to analyze energy consumption patterns and residential carbon footprint in Turkey.
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: In Turkey, rapid urban growth and aging infrastructure have led to high residential carbon emissions primarily driven by fossil fuels, with households emitting around 4.8 tonnes of CO₂ annually. Recent government initiatives in energy efficiency and renewable integration have begun to moderate these trends, although challenges remain for sustainable urban development.
Unique Contribution to Theory, Practice and Policy: Ecological modernization theory (EMT), social practice theory & diffusion of innovations theory may be used to anchor future studies on the analyze energy consumption patterns and residential carbon footprint in Turkey. Practitioners should leverage state-of-the-art monitoring technologies such as smart meters and IoT devices to capture detailed data on residential energy use. Policymakers must design incentive schemes, such as tax rebates and subsidies, to encourage the adoption of renewable energy and energy-efficient retrofits in residential areas.
Waste Disposal Methods and River Contamination Levels in Mexico
Authors: Javier Francisco
Published: February 2025

Purpose: The purpose of this article was to investigate waste disposal methods and river contamination levels in Mexico.
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: Recent studies in Mexico reveal that inefficient waste disposal such as poorly regulated landfills and uncontrolled incineration significantly raises pollutant levels in rivers, with high concentrations of nitrates, phosphates, and heavy metals. In contrast, areas with integrated waste management systems and modern treatment facilities exhibit much lower contamination, underscoring the urgent need for policy reforms, technological improvements, and enhanced environmental education.
Unique Contribution to Theory, Practice and Policy: Ecological modernization theory, social-ecological systems theory & institutional theory may be used to anchor future studies on the investigate waste disposal methods and river contamination levels in Mexico. Pilot projects that test innovative landfill designs, improved incineration residue management, and cutting-edge wastewater treatment should be established to generate replicable data for best practices. Governments and regulatory bodies should standardize waste disposal practices by adopting guidelines informed by the latest empirical findings.
A Geospatial Approach to Modelling Social, Religious and Political Shifts in History
Authors:   University of Vienna, Austria, Vargha Mária , Eichert Stefan ,   Natural History Museum Vienna, Austria
Published: February 2025

The present paper introduces the project RELIC (Modelling Religiopolitics. The Imperium Christianum via its Commoners), conducted at the University of Vienna, and the Natural History Museum Vienna, funded by the European Research Council, highlighting the main potential in research and describing the project’s methodology. RELIC proposes a complex, comparative analysis and contextualisation of archaeological and historical remains of the rural population living on the eastern fringes of the later Holy Roman Empire during the Ottonian and Salian periods (10th -12th c.), exploring the influences of centres and networks of secular and ecclesiastical lords, of the natural environment, and of the economic infrastructure. Investigating this often-overlooked segment of the population and its hitherto unexplored or neglected role allows us to study how (top-level) changes in political and ecclesiastical organisations can be reflected in the evidence concerning the lower levels of society and of the local church network, how different strategies worked in different political settings, and what role local initiatives/agencies could have played in religious and political shifts. The archaeology of Christianisation frequently focuses on one crucial aspect, i.e. the division of pagan and Christian elements, based predominantly on cemetery types and some aspects of the material culture. The spatial contextualization of burial customs and material remains, particularly through comparative and large-scale analysis, has the potential to reveal new narratives about the pagan-Christian transition and the phenomenon of transitional cemeteries.
Perancangan Media Pembelajaran Matematika Berbasis Animasi Menggunakan Canva
Authors: Wati Irma , Efriyanti Liza , Okra Riri , Derta Sarwo
Published: February 2025

Media pembelajaran adalah segala sesuatu yang dapat digunakan oleh guru untuk membantu siswa memahami mata pelajaran yang diajarkan di kelas dan membantu mereka mencapai tujuan pembelajaran. Media ini mencakup materi pembelajaran yang bersifat teknis dan konkret serta pengembangan (R&D). Penelitian tentang media pembelajaran dilakukan oleh para peneliti yang dipekerjakan. Model pengembangan yang digunakan adalah model 4-D (empat D), yang terdiri dari empat tahap: Definisi, Desain, Pengembangan, dan Penyebaran/Uji Coba (Dissemination). Tiga jenis uji yang digunakan dalam penelitian ini adalah keabsahan, kepraktisan, dan efektivitas sebagai ukuran produk. Hasil penelitian media pembelajaran matematika berbasis animasi menggunakan Canva menunjukkan bahwa nilai rata-rata skor tes adalah 0,87 dengan kriteria valid, hasil uji kepraktisan dari dua orang guru matematika memperoleh nilai rata-rata 0,93 dengan kategori sangat praktis, dan hasil uji efektivitas memperoleh nilai rata-rata 0,85 yang tergolong efektif. Hasil ini menunjukkan bahwa media pembelajaran matematika berbasis animasi menggunakan Canva dapat diandalkan, bermanfaat, dan efisien.
Evaluasi Aplikasi Santri Berbasis Online dalam Media Informasi Kepada Wali Santri di Rumah Tahfidz Kawan M77
Authors: Kholijah Nasution Siti , Yusuf Muhammad
Published: February 2025

Aplikasi santri yang tersedia secara online telah menjadi alat bantu yang bermanfaat untuk memperluas hubungan antara Rumah Tahfidz dan wali santri. Komunikasi antara Rumah Tahfidz dan wali santri seringkali terganggu oleh jarak fisik yang ada antara Rumah Tahfidz dan rumah wali santri. Oleh karena itu, Rumah Tahfidz Kawan M77 membuat aplikasi santri berbasis online sebagai jembatan komunikasi antara Rumah Tahfidz  dengan wali santri. Penelitian ini bertujuan untuk mengevaluasi efektivitas fitur-fitur yang terdapat pada aplikasi santri berbasis online di Rumah Tahfidz Kawan M77 dalam memberikan informasi kepada wali santri. Metode penelitian yang digunakan adalah metode penelitian kualitatif melalui wawancara dengan wali santri dan pengelola aplikasi. Hasil penelitian menunjukkan bahwa fitur pelacakan kehadiran, laporan perkembangan belajar, dan notifikasi pesan merupakan fitur yang paling efektif dalam memberikan informasi kepada wali santri. Selain itu, penelitian ini juga mengidentifikasi beberapa kendala yang dihadapi dalam penggunaan aplikasi, seperti kurangnya akses internet yang stabil dan kesulitan dalam mengoperasikan aplikasi.
Internalisasi Nilai Pendidikan Agama Islam untuk Menumbuhkan Jiwa Nasionalisme Siswa di Sanggar Bimbingan Sungai Mulia 5 Gombak Kuala Lumpur
Authors: Aini Ria , Supratno Haris , Mahadun Hanifuddin , Idawati Khoirotul
Published: February 2025

Globalization has altered Indonesian cultural values, leading to a loss of cultural identity due to the unpreparedness of Human Resources (HR) to face these changes. Nationalism, reflected in behaviors such as maintaining harmony and respecting culture, is a sense of love for the homeland. Religious education becomes key in shaping the character of children, especially at Sanggar Bimbingan Sungai Mulia 5, Gombak, Kuala Lumpur. This research describes the nationalism spirit of the sanggar students, the process of internalizing Islamic religious education values, and the supporting and inhibiting factors in fostering the students' nationalism, especially children of undocumented Indonesian Migrant Workers (PMI). A descriptive qualitative method was used, with data collected through observation, interviews, and documentation. The results reveal that the internalization of Islamic religious education values plays a crucial role in shaping the nationalism of students at Sanggar Bimbingan Sungai Mulia 5. This process is observed through Al Ghazali's internalization efforts, which include goals, the role of educators highlighting teachers' roles in habituation and exemplary practices. The emphasized value components include itiqadiyah, amaliah, and khuluqiyah, undergoing stages of transformation, transaction, and trans-internalization of values. This study is unique in highlighting the situation of children of undocumented PMIs, who face significant challenges in accessing formal education. It offers valuable insights into how religious education can be an effective tool for fostering nationalism in such a challenging context.
Divergent Ensemble Networks : Improving Predictive Reliability and Computational Efficiency
Authors: Chandorkar A , Kharbanda A
Published: February 2025

The effectiveness of ensemble learning in improving prediction accuracy and estimating uncertainty is wellestablished. However, conventional ensemble methods often grapple with high computational demands and redundant parameters due to independent network training. This study introduces the Divergent Ensemble Network (DEN), a novel framework designed to optimize computational efficiency while maintaining prediction diversity. DEN achieves superior predictive reliability with reduced parameter overhead by leveraging shared representation learning and independent branching. Our results demonstrate the efficacy of DEN in balancing accuracy, uncertainty estimation, and scalability, making it a robust choice for realworld applications.
Using Gen AI Agents With GAE and VAE to Enhance Resilience of US Markets
Authors: Joshi Satyadhar
Published: February 2025

In this study, we explore the application of Generative AI (Gen AI) in enhancing interest rate models utilized in financial risk modeling. We employ advanced Gen AI Large Language Models (LLMs), including OpenAI's ChatGPT-4 and ChatGPT-4 Mini, as well as Google's Gemini versions 2.0 and 1.5, to generate pertinent queries and assess their accuracy. We propose and evaluate a prototype that leverages queries generated by publicly available LLMs to model and fine-tune parameters for Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), methodologies that can also be applied to other interest rate models. Our findings demonstrate that ChatGPT (OpenAI) can produce relevant questions and queries that enhance data generated by GANs and VAEs. We implemented our model over a decade (2012–2024) using 10-year U.S. Treasury rates, integrating publicly trained LLM models with Gen AI data tools, and proposed a full stack framework that can be extended to building AI agents. We also presented the GANs and VAEs results using different visualization techniques for better understanding. The accuracy of the LLM-generated queries is evaluated by three independent volunteers with expertise in this area. Our proposed architecture incorporates a Gen AI-based agent to validate current scenario generation and Monte Carlo methods traditionally used in modeling. Additionally, we present backtesting results comparing real and generated data, along with querying and optimizing models, paving the way for future agent-based virtual analysts.
Model Checking for Multi-Agent Systems Modeled by Epistemic Process Calculus
Authors: Yu Qixian , Cao Zining , Hui Zong , Zhou Yuan
Published: February 2025

This paper presents a comprehensive framework for modeling and verifying multi-agent systems. The paper introduce an Epistemic Process Calculus for multi-agent systems, which formalizes the syntax and semantics to capture the essential features of agent behavior interactions and epistemic states. Building upon this calculus, we propose ATLE, an extension of Alternating-time Temporal Logic incorporating epistemic operators to express complex properties related to agent epistemic state. To verify ATLE specifications, this paper presents a model checking algorithm that systematically explores the state space of a multi-agent system and evaluates the satisfaction of the specified properties. Finally, a case study is given to demonstrate the method.
Geospatial Crime Hotspot Detection: A Robust Framework using Birch Clustering Optimal Parameter Tuning
Authors: Chakraborty Shima , Sharmin Sadia , Alam Fahim Irfan
Published: February 2025

Crime causes physical and mental damage. Several crime prevention measures have been developed by law enforcement officials since they realized how serious this problem is. These preventative measures are not strong enough to help lower crime rates because they are typically slow-paced and ineffectual. In this regard, machine learning community has started developing automated approaches for detecting crime hotspot, after performing a careful analysis of the crime trend incorporating geospatial, temporal, demographic, or other relevant information. In this research, we look at detecting crime hotspots using geospatial information of prior crime occurrences. We proposed BIRCH algorithm to detect high crime prone areas with four essential aspects: (1) PCA (Principle Component Analysis) has been used to minimize the dimensionality of crime data, (2) Silhouette score Elbow and Calinski Harabaz have been used to find the optimal number of cluster (3) utilized hyper-parameter tuning to choose the best hyperparameters for the BIRCH algorithm (4) applied BIRCH with the three aspects mentioned above. The results of the suggested framework were then contrasted with those of alternative clustering techniques, such as K-means, DBSCAN, and the agglomerative algorithm. We explored our approaches on the London Crime Dataset and found some fascinating results that can help reducing crime by helping people take the appropriate measures.
Mapping the evolution of GPT-4o innovations: An analytical exploration of progress, applications, and horizons
Authors: Gamboa-Rosales Nadia Karina , López-Robles José Ricardo
Published: February 2025

Artificial intelligence is transforming various sectors, with OpenAI's GPT-4o as a key innovation in natural language processing. Its impact on healthcare, education, and business makes understanding its use essential. Clear references will guide its development and application, maximizing its transformative potential. This research employs bibliometric tools to analyze the adoption and evolution of GPT-4o. By examining published literature, citation networks, and keyword co-occurrence patterns, it identifies key application domains, emerging trends, and collaborative networks driving innovation. The study highlights GPT-4o’s transition from theoretical research to practical implementation across disciplines. The findings contribute to knowledge on GPT-4o, offering insights into its applications and future opportunities. This perspective aids researchers, practitioners, and policymakers in leveraging GPT-4o for innovation. By addressing growth areas and challenges, the study underscores the need for strategic utilization to maximize GPT-4o’s transformative potential across industries and society.
El contexto socioeconómico de las decisiones políticas en el proceso de Integración Centroamericana
Authors: Jerez Cesar
Published: February 2025

No abstract available.ECA Estudios Centroamericanos, Vol. 32, No. 339-340, 1977: 5-32.
El proyecto de Tratado de la Comunidad Económica y Social Centroamericana
Authors: Mayorga Cortés Roberto
Published: February 2025

No abstract available.ECA Estudios Centroamericanos, Vol. 32, No. 339-340, 1977: 45-56.
"Apoya la prensa de El Salvador al Tratado Marco?"
Authors: Chávez M. A. , Duque Uribe R. , Flores Valle C. A. , Cuéllar H. E. , De Manzano A. María
Published: February 2025

No abstract available.ECA Estudios Centroamericanos, Vol. 32, No. 339-340, 1977: 83-88.
Strategy of Limited Edition Stone Island: Analysis of the Impact of Scarcity on Premium Pricing Through Fear of Missing Out
Authors: Nafi Muhammad , Khusaini  , Haryanto Budhi
Published: February 2025

This study examines the impact of scarcity cues on consumers' willingness to pay premium prices for limited edition products, focusing on Stone Island brand enthusiasts in Indonesia. Using Partial Least Square-Structural Equation Modeling (PLS-SEM) with 275 respondents, the research reveals that while direct scarcity cues do not significantly influence premium price willingness, Fear of Missing Out (FoMO) mediates this relationship by intensifying purchase intentions. The bandwagon effect does not moderate the relationship between scarcity cues and price willingness. The findings suggest that product scarcity strategies are most effective when coupled with psychological motivators like FoMO, though the study is limited by its singlebrand focus and recommends future research to expand the scope across industries and incorporate additional consumer behavior variables.
Green Innovation, Green Supply Chain Management, Green Intellectual Capital and Green Human Resources Management Toward Environmental Performance
Authors: Diva Awatara I Gusti Putu , Susila Linda Nur , Saryanti Endang
Published: February 2025

This research aims to analyze the role of green innovation, green supply chain management, green intellectual capital and green human resources management on environmental performance. This research includes survey research conducted on company employees in Central Java. The population in this study were company employees in Central Java. The sampling method used by researchers is purposive sampling, namely sampling with the aim of because the respondents sampled are employees who work in companies that apply environmentally friendly principles, so the total sample in this study is 150 employees. Data collection techniques use questionnaires and observation. The data analysis technique uses research instrument tests which include validity tests and reliability tests. Classic assumption tests include heteroscedasticity tests, normality tests and multicollinearity tests. Hypothesis testing includes multiple linear regression analysis, t test, F test and analysis of the coefficient of determination (R2 ). Green innovation, green supply chain management, green intellectual capital and green human resources management have a positive and significant effect on environmental performance. The coefficient of determination test results show that the R2 value is 0.691, meaning that environmental performance is influenced by Green innovation, green supply chain management, green intellectual capital and green human resources management by 69.1% while the remaining 30.9% is influenced by other variables outside the research model. This is for example management commitment and environmental management system.
Budgetary Control and Profitability of Listed Foods and Beverages Producing Companies in Nigeria
Authors: Enyi Enyi Patrick , Oyeyemi Ogundajo Grace , Olabode Aremu Paul
Published: February 2025

This study examines the impact of budgetary control mechanisms specifically target costing, variance analysis, throughput accounting, and backflush accounting on the organizational profitability of Nigerian listed food and beverage companies, with a focus on Return on Equity (ROE) as the key performance metric. Drawing on empirical data from studies conducted and the trend analysis carried out, the research highlights the effectiveness of these budgetary control techniques in enhancing profitability within the sector. The findings reveal that target costing has significantly reduced production costs, leading to an average increase in ROE by 2.5% over two years. Variance analysis was found to be a crucial tool for managing costs and sustaining profitability, particularly in economically volatile environments, with companies reporting a 4% higher ROE on average. Throughput accounting improved production efficiency, contributing to a 15% improvement in ROE for firms facing production constraints. Backflush accounting was effective in optimizing inventory management and reducing accounting overheads, resulting in a 5% increase in ROE. The study concludes that the adoption of these budgetary control mechanisms is essential for improving financial performance in the Nigerian food and beverage sector. The evidence suggests that these tools are not only instrumental in managing costs but also in driving sustained profitability, offering valuable insights for companies seeking to enhance their financial outcomes in a competitive market environment.
Analysis of Factors Affecting the Stock Price of Manufacture Companies in Indonesia
Authors: Pratama Tisera Bernardus Ivan , Riwayati Hedwigis Esti
Published: February 2025

The purpose of this study is to analyze the impact of Covid-19 on Earnings Per Share, Debt to Equity Ratio, Return on Assets on stock prices. The sample used in this study is manufacturing sector companies listed on the Indonesia Stock Exchange. The data used is in the form of quarterly financial statements for the 2019-2022 period Data analysis techniques use regression panel data processed using EViews version 10 software. The results of the study found that Earnings Per Share and Debt to Equity Ratio have a significant positive effect on the stock price of manufacturing companies. Return On Asset has no effect on the share price of a manufacturing company. The value of the coefficient of determination of 54.5 percent shows that the influence of Earnings Per Share, Return On Assets and Debt to Equity Ratio on the stock price of manufacturing companies in the study period was 54.5 percent, the remaining 45.6 percent was influenced by other factors.
The Role of Customer Satisfaction in Mediating the Relation Between Brand Awareness and Purchase Behavior on Rayu.idn Fashion Products
Authors: Tia Nur Fatchiyah , Haryanto Budhi
Published: February 2025

This article explains the relationship between brand awareness and purchase behavior, mediated by customer satisfaction. The literature review was conducted using several high-reputation international journals, including research from Rambocas (2018). This article identifies the variables used to build a consumer behavior model related to brand awareness. Using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with 271 respondents, the propositions of this paper conceptualize that brand awareness enhances repeat purchases, word of mouth, and price premium, while reducing switching behavior. This research is expected to expand knowledge about the factors that influence brand awareness. Therefore, this study can serve as valuable information or input for clothing/fashion companies, particularly marketers, in formulating appropriate marketing strategies.
Entrepreneurship Education in Universities as a Credible Remedy for Graduate Unemployment in Cameroon
Authors: Enongene Gabriel Nnoko , Ndi Isoh Alain Villard , Tapang Felix Nkellefack
Published: February 2025

This study sought to examine the effect of entrepreneurship education in Cameroon universities on the potential of university graduates to create jobs and enterprises. The research population were post graduate students of social and management sciences of the University of Buea, the Higher Institute of Management Sciences Buea and the Biaka University Institute Buea. A sample size of 300 respondents was used for the study. The research used a structured questionnaire as the instrument of research. The questionnaire was subject to face and content validity by experts at the Information Communication Technology University, Yaoundé. A reliability test of at least 0.6 of alpha Cronbach score was acceptable and showed internal consistency. A further analysis using the Structural Equation Modelling (SEM) was carried out. The study contributes to science by highlighting that appropriate and adequate entrepreneurial education is needed in Cameroon universities to boost graduate job creation abilities, curb youth unemployment and poverty.
The Impact of Earnings Management on the Business Performance of the Industrial Sector Listed on Hose in Vietnam
Authors: Hung Dinh The , Nguyen Nguyen Khoi
Published: February 2025

This study analyzes the impact of earnings management on the business performance of companies within the industrial sector in Vietnam. Data were collected from 66 firms listed on the Hochiminh city Stock Exchange (HOSE) during the period 2019–2023. Earnings management is measured based on the theoretical framework of the Jones model. The study employs multiple linear regression analysis with the support of Stata software. The research findings provide critical insights into the relationship between earnings management and business performance within this sector.
The Influence of Customer Trust as a Mediator Between Uncertainty Avoidance and Purchase Intention in Shopee
Authors: Aryoko Nabila Verysa , Dirgiatmo Yong
Published: February 2025

This study explores the mediating role of customer trust in the relationship between uncertainty avoidance and purchase intention on Shopee, a leading e-commerce platform. The research sampled 290 Indonesian Shopee users aged 18–60 years who had made at least two purchases. Using non-probability purposive sampling, data were collected and analyzed with SmartPLS 4. Validity was assessed through outer loading and Average Variance Extracted (AVE) for convergent validity, while discriminant validity was evaluated using the Fornell-Larcker criterion. Reliability was measured using Cronbach's Alpha and composite reliability. The findings highlight that information quality, reputation, return policy leniency, and social commerce constructs significantly impact customer trust and purchase intention on Shopee. However, the cash on delivery payment method does not significantly affect either customer trust or purchase intention. Additionally, customer trust serves as a mediator between social commerce constructs and purchase intention but does not mediate the relationships involving cash on delivery, information quality, reputation, or return policy leniency. These results underline the importance of social commerce and other trust-building factors in driving purchase intention, offering valuable insights for e-commerce strategies.
The Influence of the Audit Committee, Auditor Rotation and Ownership Structure on Audit Quality: Evidence From Indonesian Mining Company
Authors: Puspaningsih Abriyani
Published: February 2025

This research, conducted with the aim of determining the influence of audit committee, auditor rotation, and ownership structure on audit quality. This research was conducted at mining companies listed on the IDX (Indonesian Stock Exchange) from 2015 to 2019. A purposive sampling method was employed to select a sample of 170 companies whose data met the criteria of research samples The data was analyzed using multiple regression analysis. The results of the research showed that committee audit has a positive effect on audit quality. Rotation of auditor and ownership structure, however, do not have an effect. The results of this research have the implication that the existence of an audit committee in a company is very important. With the existence of an audit committee, it is hoped that the supervisory function can be implemented. The supervisory function includes monitoring the effectiveness of the internal control system, monitoring management performance and monitoring the quality of financial reporting.