bluuebunny/crossref_metadata_2025 huggingface dataset:
Predictive Modeling of Crop Yield Using Deep Learning Based Transformer with Climate Change Effects
Authors: S Yash Pravesh , Garg Nakshatra , Arora Ravik , Singh Sudhanshu , S Siva Sankari
Published: November 2024

Climate change is a significant global challenge concerning agriculture and food security. The understanding of climate change effects on crop production is necessary for developing an effective adaptation strategies and predicting a crop yield accurately. This paper suggests the combined Clustering Long Short Term Memory Transformer (CLSTMT) model for crop yield prediction. CLSTMT is a hybrid model that integrates clustering, deep learning based LSTM and Transformer techniques. The outliers from the historical crop and climate data are removed using k-means clustering. Followed by, the crop yield is predicted using Transformer-based neural network with LSTM layers and feed-forward neural network (FNN) components. The model design effectively captures climate-influenced patterns, enhances the precision and comprehensiveness of crop yield prediction. The experiment is conducted using the dataset with crop yield, climate, and pesticide details over 101 countries collected from 1990 to 2013. The comparative analysis reveals that the CLSTMT model outperforms other regression models such as SGDRegressor (SGDR), Lasso Regression (LR), Support Vector Regression (SVR), ElasticNet (EN) and Ridge Regression (RR). The proposed design effectively captures climate-influenced patterns, enhancing the precision and comprehensiveness of crop yield predictions. The findings indicate that the proposed model provides an accurate prediction of crop yield with high R2 of 0.951 and lesser Mean Absolute Percentage Error (MAPE) of 0.195. This value suggests a minimal average percentage deviation between the actual and predicted yields. The findings indicate that the CLSTMT model provides more accurate crop yield prediction compared to others.
A Novel Deep Convolutional Neural Network Algorithm for Equity Price Prediction
Authors: A Jesmine Mary , N Sundaram
Published: November 2024

Predicting stock prices is one of the difficult issues for researchers and investors. The study suggests an equity price prediction based on feature neural network extraction. We expect the stock price using technovative forecasting from traditional Machine Learning (ML) models namely Linear Regression (LR), Autoregressive Integrated Moving Averages (ARIMA), and advanced Deep Learning (DL) algorithms such as Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) and Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM). We select seven features based on historical data: date, close, open, high, low, volume, and change %. The study’s novelty is the prediction accuracy compared to the step-by-step backtesting methodology from ML to DL algorithms. We first use CNN to extract features from the data consisting of the items from the preceding 10 days to 100 days. After that the extracted feature data and LSTM to predict the stock price. Finally, the study used robotic error measure analysis, such as MAE, RMSE, and R2, to assess the forecasting accuracy of all four models. The CNN-LSTM model provides a consistent stock price forecast based on error measures with maximum prediction exactness ranging from 0 to 1, such as MAE-0.03, RMSE-0.04, and R2-0.98. The proposed CNN-LSTM model maintained its efficiency throughout the process when compared to the LR, ARIMA, and LSTM-RNN models. The study conducts a robustness hypothesis check using the ANOVA test statistic for superior predictability accuracy. In addition, this forecasting technique gives academics real-world experience analyzing financial time series data and confident investment ideas to investors.
Digital Dakwah Communication Strategy: Case Study Gus Iqdam Reaching Tuesday Night At Markas Sabilu Taubah, Karanggayam Srengat Blitar Village
Authors: Zuhro Fathimatuz , Rohmah Hidayati  , Faishol Muhammad
Published: November 2024

Thus, the Prophet (peace and blessings of Allah be upon him) said: “Behold, the prophet Muhammad (salla Allahu alihi wa sallam) is a prophet of all sins. The role of mass media facilitates the delivery of messages that were once oral to oral becomes unlimited distance and time. New media is not only done for negative things. New media can also play a role as a positive media especially in spreading good through publicity. The most widely used media in modern times is social media. Social media is the communication media that almost all the world's societies use. The aim of this research is nothing more than to know and interpret in depth the communication strategy of Gus Iqdam in giving an explanation to Mad’u in the digital age, because this modern age is encouraging to analyze the content of Guss Iqdams communications spread on social media that surely affects its audience.
Pengaruh Pembiayaan Murabahah Terhadap Perkembangan Usaha Mikro Pada Bank Syariah Kota Pekanbaru
Authors: Melina Ficha , Irwandi  , Nurul Muyasaroh
Published: November 2024

Berdasarkan hasil penelitian penulis sebelumnya, bahwa pemahaman masyarakat Kota Pekanbaru tentang produk pembiayaan murabahah dikatakan kuat dengan persentase 77.03% atau berada pada wilayah “cukup paham” dan “paham”. Ini maknanya adalah masyarakat Kota Pekanbaru memiliki pemahaman yang cukup atau paham terhadap produk pembiayaan murabahah. Dari pemahaman masyarakat terkait produk pembiayaan murabahah tersebut, penulis ingin mengetahui pengaruh pembiayaan murabahah terhadap perkembangan usaha mikro pada bank syariah yang ada di Kota Pekanbaru. Metode penelitian ini adalah penelitian deskriptif yaitu jenis penelitian yang disusun dalam rangka memberikan gambaran secara sistematis tentang informasi ilmiah yang berasal dari subjek atau objek penelitian. (1) adapun sebagai populasi dalam penelitian berjumlah 26.321 orang pelaku usaha mikro Kota Pekanbaru dan yang menjadi sampel sebanyak 100 orang. Hasil penelitian dari uji regresi linier sederhana ini menunjukkan bahwa pembiayaan murabahah berpengaruh positif dan signifikan terhadap perkembangan usaha mikro. Hal  ini  didukung  dengan  adanya  bantuan  pembiayaan murabahah  yang  dapat  menambah modal usaha dan dapat mengembangkan usaha.
Entrepreneurship as a Guide to Islamic Da'wah in the Business Concept of Rasulullah ﷺ
Authors: Husnul Khatimah  , Annisa Nur Fadhillah  , Anis Rahayu  , Annisa Habsah Maualana
Published: November 2024

Nowadays, da'wah can be done while running a business or entrepreneurship. This research aims to find out how entrepreneurship as an intermediary for Islamic preaching in the concept of the Prophet's business which aims to emphasize that entrepreneurship is not only for worldly gain but must be able to take a role in preaching to spread Islam. The literature method and descriptive qualitative approach are the methods used in this research. This study outlines the findings of how to find out the values of da'wah that Rasulullah Shallallahu 'Alaihiwa Sallam exemplified as a reliable business expert, the best business teacher of all time and even a great statesman and world leader can be done by entrepreneurship, both in terms of trading, and creating jobs. Entrepreneurial activities can be used as one of the wasilah da'wah noble purpose in line with the provisions of shariuat as an effort to improve the welfare of the ummah, increase economic progress, give birth to a culture of high work ethic includes noble character qudwah us, namely amanah, shiddiq, tabligh and fathanah. In entrepreneurship, ethics and procedures are needed to run a business based on sharia principles, so that it gets a blessing from Allah and benefits many people.
Model Pengelolaan Zakat Produktif di Indonesia dan Malaysia
Authors: Adam Agus Putra Panji , Intan Nurrachmi  , Azri Bhari
Published: November 2024

Salah satu isi dalam bidang zakat adalah terkait zakat produktif. Zakat merupakan ibadah sosial yang memiliki tujuan mengentaskan kemiskinan, membantu orang yang memiliki ekonomi lemah dan mensejahterakan ekonomi umat. Pemberian zana zakat secara produktif harus memiliki manajemen yang baik agar tujuan kegiatan tersebut dapat berjalan dengan baik. Indonesia dan Malaysia merupakan negara yang menerapkan konsep zakat produktif. Dengan demikian tujuan dari penelitian ini adalah untuk mengetahui model pengelolaan zakat produktif di Indonesia dan di Malaysia. Metode yang digunakan dalam penelitian ini adalah menggunakan data sekunder berupa studi pustaka. Adapun jenis penelitian ini berdasarkan penelitian kualitatif. Hasil penelitian menunjukkan bahwa model zakat produktif di Indonesia dapat dilakukan dengan 3 model, yaitu (1) model penyaluran dengan menggunakan akad qardh al-hasan; (2) model penyaluran zakat dengan skema akad mudharabah; dan (3) model penyaluran empowerment circle thought zakat. Adapun model zakat produktif di Malaysia berupa bantuan produktif merujuk kepada bantuan modal sama ada dalam bentuk uang tunai ataupun peralatan bagi membantu golongan asnaf mengubah kehidupan mereka ke arah yang lebih baik. Bantuan ini biasanya diberikan dalam bentuk jangka panjang. Bantuan bukan produktif pula bersifat jangka pendek bagi membantu asnaf meneruskan kelangsungan hidup mereka dengan memenuhi keperluan asas yang diperlukan seperti bantuan perubatan, saran bulanan, makanan, sewa rumah dan lain-lain.
Perencanaan Pengurus Aisyiyah dalam Mensosialisasikan Regulasi KDRT di Kota Medan
Authors: Harahap Nisa Hanum , Misrah Misrah
Published: November 2024

Penelitian ini bertujuan untuk mengetahui perencanaan pengurus Asasiyah dalam mensosialisasikan regulasi KDRT di Kota Medan, berguna untuk memberikan wawasan dalam bahayanya tindak kasus KDRT dikalangan masyarakat di Kota Medan. Metode yang digunakan ialah metode deskriptif kualitatif, pengumpulan data melalui penelitian lapangan, observasi, wawancara, dan dokumentasi. Hasil penelitian yang dilakukan dengan Ketua PDA, Ibu Kholisanni Nasution Melalui pertemuan ini bahwasanya lembaga Aisyiyah mempunyai program program umum yaitu rencana kegiatan Lintas Majlis yang pelaksananya menjadi tangung jawab pimpinan organisasi secara langsung maupun dengan dibantu oleh badan pembantu pimpinan sesuai dengan tingkatan dan wewenang Program tentang KDRT, seperti Konsolidasi ideologi dan organisasi, Konsolidasi kelembagaan, Konsolidasi pimpinan dan kader, manajemen organisasi, Keuangan dan sumber dana Istilah kekerasan digunakan untuk menggambarkan perilaku,baik yang terbuka (overt) atau tertutup (covert), dan baik yang bersifat menyerang (offensive) atau bertahan (deffensive), yang disertai penggunaan kekuatan kepada orang lain.
A review of language awareness (2020–2024): Current trends and future directions
Authors: Wang Weiqing , Liu Xiaoyu
Published: November 2024

Language awareness, which refers to an individual’s sensitivity to and understanding of the nature and function of language, has been shown to potentially impact language learning. The current paper reviews various sources, including journals, books, and historical documents, to provide a comprehensive overview of theoretical discussions and empirical studies on language awareness. It begins by outlining the domain of language awareness, then clarifies its definition, and then examines recent studies (2020–2024) that explore its effects, methods of cultivation, developmental patterns, and mediating factors in educational contexts, with a focus on the (meta)cognitive domain of language awareness among L2 learners, bilinguals, and multilinguals. Additionally, the paper discusses research on the cross-linguistic aspects of language awareness, highlighting how awareness across different languages influences learning outcomes. In conclusion, the paper summarizes current developmental trends in the field and emphasizes the need for further investigation to enhance our understanding and application of language awareness in educational contexts. The review aims to offer insights that may help refine strategies for cultivating language awareness and enhancing educational practices.
Exploring the Life and Experiences of Women in a VUCA Environment
Authors: Tuco Ryan James R. , Culajara Khareen B.
Published: November 2024

Against the backdrop of the volatile, uncertain, complex, and ambiguous (VUCA) environment, this study explores women’s lived experiences, highlighting their key challenges, coping skills, and overall perceived impact amidst the unpredictable terrain of the 21st-century workplace. Through qualitative research design incorporating interviews, this research aims to uncover the intersectionality of women’s experiences within VUCA conditions. Results of the study show that women face critical challenges in decision-making under uncertainty, gendered role expectations, job security and multiple roles, mental health issues, and work adjustments. To cope with these challenges, participants focused on adaptation and flexibility, communication and collaboration, continuous learning and development, strategic planning and time management, and wellness and self-care strategies. Lastly, most of the impact of VUCA conditions among women highlighted the need to acknowledge and embrace VUCA as an emergent phenomenon and develop a culture of growth mindset as a form of resilience. This research recommends tailor-fit organizational strategies prioritizing flexibility and supportive environments to empower women amidst current VUCA conditions.
The Mediating Effect of ICT-Based Instruction on Attitudes and Motivation of Students’ in Science
Authors: Sabit Syvon , Acledan Michelle
Published: November 2024

This study determined the mediating role of ICT-based instruction on the relationship between attitudes and motivation of students in science. The quantitative approach using the correlational technique and analysis was utilized in this study with a sample of 309 students coming from the Public Schools in the Division of Bukidnon, Municipality of Kitaotao, Kitaotao I, Kitaotao II, and Kitaotao III Districts using stratified random method of sampling. Data from the respondents was collected using sets of modified survey questionnaires, and the results were analyzed for reliability and content validity. Regression analysis, Pearson-r, and the mean were used to examine the data. The findings showed that the levels of science attitudes of students were rated moderate, and the science motivation of students was rated high. While ICT-based instruction was likewise given a high rating. Furthermore, there was a strong correlation between the factors. The connection between science attitudes and the science motivation of students was significant. There is also a significant relationship between science attitudes of students and ICT-based instruction. And a significant relationship between ICT-based instruction and the science motivation of students. On the mediating effect, a partial mediation exists between the impact of ICT-based instruction on the correlation between attitudes and motivation of students in science.
The Add-Ons of Verbal Emoticons Into Facebook Walls: Categories, Locations, and Pragmatic Functions
Authors: Agbayani Richard Sambajon , Sy Donna Bel Fran , Tumenes Clarizza Joy Bartolome
Published: November 2024

Facebook (FB) continues to stir the limelight and since it is a phenomenal social media platform, with users utilizing it to convey both spoken and nonverbal expressions, the researchers chose this site to investigate the rich repository of verbal emoticons. Anchored on three over-arching frameworks such as Technological Determinism Theory, Thematic Analysis, and Pragmatics attached to the notion of Speech Act (expressive act) Theory, 300 verbal texts (FB Posts) were used as corpus to investigate the occurrences of the iconic virtual emoticons as substitutions and extensions for verbal elements in Facebook statuses or wall posts of 60 purposively selected participants. This study identified the various classifications, positions, and functions of each emoticon based on the structures of the verbal texts in the data. It was revealed that the majority of the Facebook users preferred facial expressions and people emoticons over others. It was also found that most icons were frequently put towards the end of the verbal texts, and their conjoint function is to do the entire turn. This implies that most emoticons were applied to encompass the inclusive message expressed in the verbal transcripts.
INVESTIGAÇÃO DAS POTENCIALIDADES DE APLICAÇÃO INDUSTRIAL PARA O RESÍDUO DA PEDRA CARIRI: UMA REFLEXÃO SOBRE ESTA PROBLEMÁTICA AMBIENTAL E SOCIAL
Authors: Neiva Laédna Souto , Silva Gislayne Rayane Alves da , Rodrigues André Wesley Barbosa , Rodrigues Maria Isabel Brasileiro
Published: November 2024

O objetivo deste estudo é promover uma reflexão sobre a problemática ambiental causada pela contínua e exponencialmente crescente quantidade de resíduos sólidos descartados a céu aberto em trechos urbanos e rodoviários dos municípios de Nova Olinda e Santana do Cariri, ambos no interior do estado do Ceará. Os resíduos sólidos abordados neste estudo são gerados como rejeito das atividades de lavra ou mineração de um material rochoso, de composição majoritariamente calcária, muito abundante na região Sul do Ceará, conhecido comercialmente como Pedra Cariri. Determinar potencialidades reais para aplicação do resíduo da Pedra Cariri bem como idealizar medidas de gerenciamento para a problemática ambiental em questão representa uma tentativa de implantação de ações concretas de respeito e proteção ao meio ambiente além de agregar valor tanto ao resíduo como ao trabalho de grande parte da população dos municípios supramencionados que dependem diretamente do trabalho de mineração deste material rochoso para movimentarem a economia local.
PROBLEMÁTICA DA AUTOMEDICAÇÃO COM INIBIDORES DA FOSFODIESTERASE 5 UMA ABORDAGEM FARMACÊUTICA
Authors: Silva Joane Cristina Macêdo da , Pontes Kaio Vinicius Martins , Correa Noelinelma Borges , Costa Valéria Cunha da , Silva Weison Lima da , Silva Tallyson Menezes Bento da
Published: November 2024

A sildenafila e a tadalafila são inibidores da enzima fosfodiesterase tipo 5 (PDE5) são medicamentos amplamente disponíveis em farmácias e drogarias nas formas de referência, genérico, similar e manipulado. Estes medicamentos são utilizados no tratamento da disfunção erétil, uma condição caracterizada pela dificuldade em obter e manter uma ereção peniana suficiente para uma atividade sexual satisfatória. O objetivo desta revisão visou. Discutir os riscos associados à automedicação e reforçar a importância da orientação farmacêutica no uso de inibidores da fosfodiesterase 5. Metodologia: Trata-se de uma revisão sistemática, utilizando as palavras-chave “sildenafila and tadalafila” e “sildenafila or tadalafila” nas bases de dados PubMed, SciELO e BVS, com referências bibliográficas publicadas entre 2015 e 2021. Para a elaboração do relatório de revisão, foram aplicados os critérios PRISMA. Os resultados ressaltaram que os inibidores de PDE5 mostraram-se ferramentas importantes na modulação da via do óxido nítrico (NO), sendo também considerados agentes terapêuticos relevantes no tratamento de outras condições além da disfunção erétil. Embora esses medicamentos sejam eficazes, é fundamental o acompanhamento adequado para evitar o uso indiscriminado e os riscos à saúde, incluindo efeitos adversos como dor de cabeça, rubor facial e, em alguns casos, complicações mais graves associadas ao uso não supervisionado. Concluí-se que o uso racional de sildenafila e tadalafila, com orientação farmacêutica adequada, é essencial para maximizar os benefícios no tratamento da disfunção erétil e minimizar os riscos à saúde. A atuação farmacêutica é imprescindível para reduzir os perigos da automedicação e promover a adesão e a persistência ao tratamento, reforçando a segurança e eficácia dessas terapias.
Advances in Imaging Analysis for Understanding Brain Disorders
Authors: Afrazeh Fatemeh
Published: November 2024

In this paper, we examine advancements in imaging analysis techniques that have deepened our understanding of brain disorders, using modalities like MRI, fMRI, PET, and DTI to analyze brain structure, function, and connectivity. By transitioning from qualitative to quantitative imaging, including volumetric analysis, cortical thickness, and connectivity mapping, we enable more precise, objective assessments that enhance diagnostic accuracy and treatment monitoring. We also explore the field of radiomics, where high-dimensional data extraction is uncovering imaging biomarkers useful for diagnosis and prognosis. Despite these advancements, challenges such as data variability, complexity, and ethical concerns remain. In this paper, we discuss the importance ofstandardized protocols, data sharing, and AI interpretability to realize the full clinical potential of imaging analysis, with the ultimate goal of transforming care for brain disorder patients through more personalized approaches.
MODEL PENGEMBANGAN KEWIRAUSAHAAN DI PERGURUAN TINGGI ENTREPRENEURSHIP DEVELOPMENT MODEL IN HIGHER EDUCATION
Authors: Anis Marjukah  , Arif Julianto Sri Nugroho  , Nursito Sarwono
Published: November 2024

Higher education plays an important role in driving change towards global competitiveness by providing motivation and producing graduates to become entrepreneurs. Increasing the number of entrepreneurs is expected to create jobs and reduce unemployment. This study aims to find a model for developing entrepreneurship among academics. The type of research is descriptive qualitative. The purposive sampling technique was used as a sampling technique for the study, with the number of samples is 20 informants who had participated in the entrepreneurship development program, using a questionnaire. The results of the study showed that: students generally have a positive perception of entrepreneurship, with a high interest in entrepreneurship, and have sufficient potential to become new entrepreneurs. However, there are still limitations, including limited capital, the ability to read business opportunities and the courage to start a business.
STRATEGI PEMASARAN SD MUHAMMADIYAH PK RABBANI KLATEN
Authors: Sigit Sigit Adhi Pratomo , Sigit Adhi Pratomo
Published: November 2024

Competition between schools is currently increasingly competitive.Formal education, in this case schools, is experiencing major changes in theform of the global educational environment. Integrated Primary Schools areschools that have emerged as an alternative solution to some communities'concerns about school quality. This article will specifically discuss howservice marketing is implemented at SDIT Muhammadiyah PK RabbaniKlaten. The marketing management process consists of profile, planning,organizing, implementing, monitoring, supporting and inhibiting factors,marketing management results. This research uses descriptive qualitativeresearch methods and data collection techniques through interviews,observation, documentation and copying.The results of the research are that the service marketing strategythat has been carried out by SD Muhammadiyah PK Rabbani has gonethrough a good marketing process starting from planning, implementation,evaluation and supervision and fulfills the 7P marketing aspects, namelyProduct, Price, Promotion, Place, People. People), Process, and PhysicalEvidence (Physical Form).Marketing advertising strategy for SD Muhammadiyah PK Rabbanieducation services through print media and online media which is dominatedby online media through Websites, Youtube, Facebook, Instagram, Whatsappregarding school activities, student achievements and school achievements.Keywords: management; marketing; integrated islamic elementary schoo
PENGARUH REKRUTMEN, MOTIVASI DAN LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN PADA PT. BPR ARTHA DAYA
Authors: Budiwinarto Kim
Published: November 2024

The purpose of this study was to determine the effect of recruitment, motivation and work environment on employee performance of PT. BPR Artha Daya. The population of this research is the employees of PT. BPR Artha Daya totaling 52 people and all of them were used as research samples This research is a quantitative assessment of the data collection method used in this study using a questionnaire by giving a set of questions or written questions to the respondent to answer. The analysis technique used is multiple linear regression model, t-test, F-test, and the coefficient of determination. The results of the analysis show that there are recruitment has a significant effect on the performance of employees of PT. BPR Artha Daya, motivation has a significant effect on the performance of employees of PT. BPR Artha Daya., and the work environment has a significant effect on the performance of employees of PT. BPR Artha Daya.
PENGARUH MOTIVASI KERJA, DISIPLIN KERJA DAN KEPUASAN KERJA TERHADAP KINERJA KARYAWAN PT. CAHAYA KHARISMA PLASINDO
Authors: Nugroho Muhlish Adi , Danarwati Yanti Sri
Published: November 2024

This research aims to determine the influence of work motivation, work discipline and job satisfaction on employee performance at PT. Cahaya Kharisma Plasindo both partially and simultaneously. The research method used in this research is a quantitative approach. The sampling technique used in this research is Non Random Sampling with the Purposive Sampling method. The number of samples studied in this research was 95 respondents, employees of the production department of PT. Cahaya Kharisma Plasindo. The data analysis techniques used in this research are multiple linear regression analysis, t test, f test and coefficient of determination test. The results of this research show that work motivation has a partial effect on employee performance, work discipline has a partial effect on employee performance and job satisfaction has a partial effect on employee performance. These four variables simultaneously have a significant effect on employee performance
Enhancing Firm Value through CSR Disclosure in Crisis Period: Evidence from high-profile Asia-pacific firms
Authors: Atik Ul Mussanadah
Published: November 2024

This study investigates the impact of firms’ disclosure about their CSR efforts (CSRD) on firm value during crisis periods, focusing on high-profile companies in the Asia-Pacific region. The analysis examines high-profile companies within the Asia-Pacific region during 2020-2021, using archival data sourced from the Thomson Reuters database. This study finds that CSRD significantly impacts firm value during crises. During times of crisis, transparency in CSR activities is especially valued, as stakeholders seek companies with continuous principles and ethical practices that bond as a commitment to firms’ social responsibility within their surrounding business environment. This positive reputation helps high-profile companies maintain stakeholder relationships and bolster their market standing during global challenges. It highlights CSRD as a critical strategy for enhancing firm value in crisis periods, underscoring the foundational needs of firms in fulfilling their transparency and responsibility to stakeholder trust and supporting a company’s resilience during global crises.
STRATEGI KELAS MENENGAH DALAM MENGHADAPI MIDDLE-INCOME TRAP: ANALISIS KONTEN YOUTUBE
Authors: Adam Hafidz Al Fajar  , Sriharini
Published: November 2024

The middle-income trap (MIT) represents a significant challenge for emerging economies like Indonesia, where middle-class stagnation obstructs the transition to high-income status. This study explores strategies for the middle class to overcome MIT by analyzing YouTube content from channels such as Timothy Ronald and Satu Persen. Using a qualitative approach with content analysis methods, the research identifies recurring themes in economic challenges and proposed solutions. Data collection involved thematic analysis of relevant videos discussing productivity enhancement, education, and innovation strategies. The findings indicate that overcoming MIT requires a shift from consumption-driven to innovation-led economic contributions, emphasizing skill development, financial planning, and adaptation to technological shifts. The study highlights the potential of digital platforms as tools for public education and empowerment, aiming to equip the middle class with actionable strategies to drive sustainable economic transformation..
Implementasi Metode Simple Additive Weighting (SAW) Pada Sistem Pendukung Keputusan Pemilihan Jenis E-Wallet
Authors: Firmasyah Ady Gilang , Amirullah Irfan Muflih , Nurhalizah Siti , Jumaryadi Yuwan
Published: November 2024

In an era where cash transactions are being replaced by digital transactions, users are faced with a dilemma between the many choices of e-wallet types. This choice challenges users to have to align their preferences and needs with the available digital transaction methods. This research aims to develop a decision support system based on Simple Additive Weighting (SAW) to assist users in evaluating their level of suitability for digital payment methods. The SAW method is used to assess important aspects such as ease of use, security, costs, and availability of both types of transactions. Each aspect is given weight according to its significance in decision making. The results of this research provide detailed guidance to users in considering their preferences and needs regarding digital transaction methods. By using a SAW-based decision support system, users can make more appropriate decisions according to their needs. The development of this decision support system is an important step in assisting users in evaluating and selecting various types of e-wallets.
Implementasi Sistem Informasi Tracking Progress Wfh Berbasis Web Pada PT XYZ Dengan Metode Pemilihan Kinerja Berdasarkan Prioritas
Authors: Kusuma Ellia Michellina
Published: November 2024

Berkaca pada gaya kerja modern yang dipengaruhi oleh Covid-19, dimana gaya kerja fleksibel atau biasa disebut WFH (Work From Home) menjadi solusi untuk tetap bekerja dari rumah. Namun gaya kerja WFH ini juga menimbulkan permasalahan yang muncul karena kurangnya pengawasan terhadap penelusuran perkembangan WFH. Jadi, untuk mengatur seluruh tugas pegawai, diperlukan adanya tugas berdasarkan prioritas dan pelacakan kemajuan pegawai yang melaksanakan WFH. Agar kinerja karyawan (orang yang tepat untuk tugas tersebut) dapat maksimal, maka perlu diterapkan metode PROMETHEE sebagai tolak ukur pemeringkatan hasil kerja karyawan berdasarkan tugas yang dilaksanakan. Perancangan program dilakukan sesuai cara kerja metode PROMETHEE.
Design Perancangan Sistem Informasi Aplikasi Peminjaman Laptop sebagai Solusi Digital untuk Manajemen Aset Teknologi berbasis Mobile
Authors: Kholili Ahlis Noor
Published: November 2024

Penelitian ini bertujuan untuk merancang sebuah Sistem Informasi Aplikasi Peminjaman Laptop berbasis Mobile sebagai solusi digital untuk manajemen aset teknologi. Masalah utama yang dihadapi adalah tidak efisiennya pengelolaan peminjaman laptop secara manual, yang sering kali menyebabkan kebingungan dalam pelacakan ketersediaan, pengelolaan aset, dan waktu pengembalian laptop. Untuk memecahkan masalah tersebut, penelitian ini menggunakan metode pengembangan sistem berbasis waterfall, yang meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Data dikumpulkan melalui wawancara dengan pengguna dan pengelola aset, observasi langsung terhadap proses peminjaman laptop yang ada, serta studi pustaka terkait pengelolaan aset teknologi. Sistem yang dikembangkan memungkinkan pengguna untuk meminjam laptop secara digital, melacak status peminjaman, dan menerima notifikasi pengingat pengembalian. Hasil pengujian menunjukkan bahwa aplikasi ini mampu meningkatkan efisiensi pengelolaan aset, mempercepat proses peminjaman, dan memberikan transparansi yang lebih baik dalam pelacakan laptop yang sedang dipinjam. Kesimpulannya, aplikasi ini berhasil memberikan solusi digital yang efektif dan dapat diterapkan dalam skala lebih luas untuk meningkatkan manajemen aset teknologi di berbagai institusi
Sistem Pendukung Keputusan Untuk Penentuan Mahasiswa Berprestasi Universitas Baturaja Menggunakan Metode AHP dan TOPSIS
Authors: Arini Desti
Published: November 2024

Determining outstanding students at Baturaja University is an important process that requires fair and objective assessment based on relevant criteria. The purpose of this study is to develop a Decision Support System (DSS) using the Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods to assist the university team in the process of selecting outstanding students. This study took a sample of 50 students who had a Cumulative Grade Point Average (GPA) ≥ 3.5 and a track record of non-academic achievements. The four main criteria used in the assessment are Academic, Non-Academic, Attendance, and Attitude and Ethics. AHP is used to determine the weight of each criterion, while TOPSIS is applied to obtain the final ranking of students based on their proximity to positive and negative ideal solutions. The expected results of this study are a DSS that is able to provide objective student ranking recommendations, reduce subjectivity in assessment, and assist the selection committee in making fairer and more consistent decisions. This DSS is expected to improve efficiency and accuracy in the process of selecting outstanding students at Baturaja University.
Merekrut dan memilih tenaga kerja berkualitas untuk organisasi kesehatan
Authors: El-Tsana Ashfiya Vi'aqila , Aisy Afifah Rohadatul , Wasir Riswandy
Published: November 2024

Rekrutmen dan seleksi tenaga kesehatan sangat penting untuk menciptakan tenaga kerja yang berkualitas. Tantangan utama terletak pada ketidakmerataan distribusi tenaga kesehatan, terutama di daerah terpencil, yang berpengaruh pada kualitas pelayanan. Penelitian ini bertujuan untuk menilai praktik terbaik dalam rekrutmen dan seleksi tenaga kesehatan serta mengatasi tantangan yang dihadapi. Metode yang digunakan adalah tinjauan pustaka dengan menganalisis 6 artikel jurnal yang diterbitkan dalam kurun waktu 10 tahun terakhir mengenai rekrutmen, seleksi, dan tantangan dalam perekrutan tenaga kesehatan. Hasil tinjauan menunjukkan bahwa meskipun rekrutmen online dan media sosial sudah sering digunakan, masih terdapat hambatan signifikan, seperti distribusi tenaga kesehatan yang tidak merata, prosedur seleksi yang tidak konsisten, serta keterbatasan infrastruktur di daerah terpencil. Selain itu, kurangnya insentif dan kebijakan yang tidak sejalan turut mempersulit perekrutan tenaga kesehatan di daerah yang membutuhkan. Oleh karena itu, diperlukan pendekatan yang lebih strategis dan sistematis untuk mengatasi tantangan ini, termasuk peningkatan koordinasi antara berbagai pihak terkait dan pengembangan kebijakan yang lebih mendukung distribusi tenaga kesehatan secara merata.
Utilisation and Access of Social Media Websites by Engineering College Students in Trichy City
Authors: Mohan M , Geetha S , Rajasekaran S , Kavitha T
Published: November 2024

Social media is crucial for communication
and connection in today's digital age. It is an online
platform for sharing information, ideas, and material
via virtual conversation and networking. College
students are frequent users of social networking
websites. It helps students receive academic
information and develop positive relationships with
professors and classmates. The study used
convenience sampling with 400 respondents from 10
Engineering institutions. The data was analysed using
statistical procedures including percentage analysis,
multiple response analysis. The survey found that the
majority of pupils are utilising Facebook and
YouTube. They are comfortable conversing, texting,
and organising group conversations. They spent at
least an hour every day on social media websites. The
study discovered that demographic parameters such
as age and gender had a considerable influence on the
total of time spend by social media websites.
Furthermore, age has a considerable influence on the
frequency of daily access.
Keywords: Digital era, online platform, digital
interaction and network
The Impact of Stakeholder Communication and Coordination on Project Outcome
Authors: Mojidra Mohit , J.R.Pitroda Prof. (Dr. , P.Shah Prof. Jagruti , Gohil Jayendrasingh
Published: November 2024

Stakeholder communication and coordination are
crucial for project success. Effective communication keeps
stakeholders informed about project progress, promoting
openness and trust. Coordination allocates tasks and resources,

preventing misunderstandings and enhancing decision-
making. Poor engagement can lead to misunderstandings,

rework, and missed deadlines. The impact of communication
on project quality, highlighting that it goes beyond time,
money, and quality standards, requiring stakeholder
satisfaction. Effective stakeholder communication
significantly influences project success in complex
construction projects, reducing failure rates due to inadequate
communication. Stakeholder conflicts in construction often
arise from conflicting interests, leading to reworks, disputes,
and cost overruns. Effective involvement of stakeholders
during pre-construction stages is crucial, as demonstrated in
Malaysia and New Zealand case studies. the importance of
clear project scope and effective internal communication in
enhancing project success, cost, and schedule performance
among stakeholders. A survey of Turkish overseas
stakeholders revealed that communication barriers negatively
impact stakeholder management (SMP), while communication
behaviours and strategies positively correlate with SMP.
Effective communication is crucial for successful international
project management. The construction failure factors (CFFs)
and stakeholder coordination performance in high-rise
building projects are linked, with consultants' lack of
capability, overlapping construction sequences, and
contractors' lack of experience being the most significant
CFFs. Stakeholder involvement is crucial for infrastructure

project success. Interviews with professionals reveal
organizational characteristics, activities, and success factors.
A framework model identifies three management levels and
project success degrees. Effective communication and
stakeholder coordination are crucial for successful
construction projects, ensuring efficiency, clarity, and
teamwork across all stages, reducing misunderstandings and
promoting trust.
Key Words: stakeholder, communication, project, time,
qualitative.
The Role of Predictive Analytics in Enhancing Employee Retention in India’s Start-Up Ecosystem
Authors: Kundu Bratati , Shyam Rahul , Mondal Bijoy
Published: November 2024

One of the biggest issues that have been observed with start-ups in India is that of employee attrition which
currently stands at an average of 18%-25%. This paper aims to examine these identified retention challenges, in the
view of answering how predictive analytics can help start-ups to avoid high levels of employee turnover. Conducted
from an interpretivist perspective, the study takes an inductive and exploratory stance, that involves analysing
secondary qualitative data gathered from reputable databases.
Predictive analytics has been identified to enhance the rates at which employees are retained due to risk
analysis and follow-up intervention. For example, where companies use predictive instruments, they are likely to
see up to 25% less staff turnover. However, financial barriers, poor availability of data, and lack of sophisticated
skills are the problems that prevent global use, especially among new start-ups.
Recommendations are more likely to be in the form of multi-tenanted, cloud-based, predictive analytics
models, building HR’s analytics capability and including predictive insights into more people-oriented processes
such as career management. These steps are designed to improve relative stability in the workforce while tackling
particularities in the Indian start-up environment. Thus, the findings of this study should be followed by the primary
data collection for further elucidation of the discussed topic and the broadening of the usage of predictive analytics
in various organisational environments.

Keywords: Employee Retention, Predictive Analytics, Indian Start-Ups, Workforce Attrition, HR Analytics, Risk
Analysis, Employee Turnover, Cloud-Based Models, Organizational Stability, Talent Management.
Restaurant Data Scraper: An Automated Tool for Extracting Restaurant Information Using Python Html, CSS and Selenium
Authors: Sagade Omkar Dhananjay , Sagade Dhanuja Dhananjay
Published: November 2024

Abstract—In this paper, a web scraping solution for
conveniently obtaining restaurant data from an HTML
file—a Python-based Restaurant Data Scraper—is
developed. BeautifulSoup is used for effective HTML
parsing, and Selenium WebDriver is used to automate
interactions with a web page. Python, HTML, CSS,
Selenium, and BeautifulSoup are all used in the
implementation. A structured CSV file containing the
extracted data—such as restaurant names, ratings,
descriptions, and addresses—allows for additional
analysis. By offering a solution that can be modified for
different restaurant listing formats, this project responds
to the growing need for effective data extraction
techniques from semi-structured HTML files. Scalable
and UTF-8 encoded to handle special characters, the
program provides a platform for more comprehensive
data collection.
Keywords—Web scraping solution; Python-based
Restaurant Data Scraper; CSV file ; HTML parsing;
Data extraction techniques.
Impact of GDP Growth on the Financial Performance of Leading Indian Banks: A Panel Data Analysis
Authors:   Maharaja Surajmal Institute, Arti Arti
Published: November 2024

The financial performances of banking sector contribute towards the economic growth of a country. Gross domestic
product is one of the variables to measure the economic growth of country. The author has investigated the affect of
financial performance of Indian banks on GDP of India. The author’s research is limited to five banks of Indian
banking sector based on market capitalization. Five banks selected for the research include Kotak Mahindra Bank,
State Bank of India, Axis Bank, HDFC Bank, ICICI Bank. Financial performance was measured through Earning per
share and profit after tax. The data for the last ten years is used to examine the impact of financial performance on
banking sector in context of top five banks selected for the research A panel analysis is conducted to evaluate this
impact. The result of the study proves there is insignificant relationship between financial performance and GDP.
However, there is a high correlation between Earning per share and profit after tax.
Keywords: Profit after tax, Earning per share; Panel data; Banks; Financial performance
An OpenCV and Single-Camera Facial Recognition Real-Time Attendance System
Authors: Pathania Kannan , Bhardwaj Chitvan , Mongia Archana
Published: November 2024

Abstract--Traditional attendance
mechanisms have fallen short of providing
an actual guarantee in attendance, especially
in advanced commercial and academic
milieus, based on the general practice of
proxy attendance. This paper details the
implementation of an attendance system
based on technologies like cameras and
facial recognition capabilities. By
prohibiting unlawful attendance using proxy
mechanisms, this system seeks to improve
the accuracy of attendance tracking. We
present a strong framework that takes,

processes, and validates facial photos in real-
time by utilising developments in computer

vision and machine learning. This provides a
creative way to get around the drawbacks of
traditional attendance systems.
Keywords—Facial recognition, Accuracy of
attendance tracking, Computer vision,
Machine learning, Real-time processing,
Attendance validation, Advanced commercial
and academic milieus.
Food Constituents & its Nutritive Aspects: Review Article
Authors: D. Thakur Dr.Chhaya , P. Kulkarni Dr. Ravindra , D. Bhale Dr. Vaishali , G Joshi Ms. Ashwini
Published: November 2024

Food constituents are substances that provide nourishment essential for the maintenance of life and for growth.
Food constituents are classified into the major groups which include: fats, carbohydrates, proteins, vitamins,
minerals, fiber & water.
Keywords
Food, Food constituents, proteins, fats, vitamins, nutrition’s, sources
A Comprehensive Analysis of Optimization Algorithms for Large-Scale Machine Learning
Authors: Bhitkar Aman , Bohara Sujal , kulkarni Tanishk , Pandit Prof. Dipti
Published: November 2024

Abstract—Optimization algorithms determine the best model
parameters that tend to offer prediction accuracy in complex
machine learning (ML) problems in big data. In fact, they are
very crucial while handling large-scale data because old ways
of handling datasets will be computationally very inefficient.
This paper provides an in-depth comparison of the two most
widely used optimization techniques in machine learning: SGD,
and BGD. Our simulated results indicate that though the SGD
technique indicates very fast initial convergence, its efficiency
eventually tends to degrade with the increasing iteration of the
algorithm. On the other hand, the BGD approach might take
slow initiation but is relatively consistent in a long run. We
then further probe how the variations in learning rate affect its
performance in the case of both the methods. Our analysis shows
that adaptive learning rates drastically accelerate convergence.
Finally, we show that the computational efficiency of the SGD
method makes it a better choice since gradients can be computed
on a per sample basis, which makes the method better for scaling.

Keywords—Optimization Algorithms, Stochastic gradient de-
scent, Batch gradient descent, Machine learning, Large-scale data,

and Adaptive learning rate.
Bioplastic- Futuristic Approach
Authors:   Department of Soil and Water conservation Engineering, AEC&RI, TNAU, Coimbatore-641003, Arthi Dr.T
Published: November 2024

The ever-growing production of non-recyclable plastic products causes plastic pollution to be the
one of most pressing environmental issues. The transition of petrochemical-based plastic with eco-friendly
biodegradable plastic has become the promising solution to overcome the plastic pollution crisis. Recycling
technology is an effective but incomplete measure to address these environmental issues. Bioplastic is a type of
plastic made from biomass materials. Biomass normally refers to a union of microorganisms, which mainly contains
macromolecules including starch, cellulose, protein, etc. Biodegradable bioplastic is a natural polymer modified
class (PSM). Bioplastics are considered highly significant to increase sustainability where sustainability defines a
balance between economic, environmental and social aspects of business and can be applied to different domains.
In this research, the development of bioplastics is introduced in the context of circular economy. The choice of
proper raw material for biopolymer production is very important as it can have an additional impact on the
ecological pressure caused by the process. Here, waste water from rice mill is taken as raw material and natural
coagulant like oil, starch, gelatine (commercial) etc are added for its flexibility. The thought of “Zero Emission”
and “Recycling” the waste water in the production process can be highly beneficial in moving a step closer towards
sustainability.
Key words: bioplastic, waste water, circular economy and zero emission
Ola and The Dual Price Estimation - A Game Changer or A Loss?
Authors: G Vaishnavi
Published: November 2024

"In the battle between fair pricing and profit margins, where does Ola's price estimation strategy truly stand?"
Ola is one of India’s leading app-based ride service companies that have transformed the way people daily travel across
the country. By providing convenient and accessible transportation services, Ola has gained a significant share in the
market in India and globally. However, as the company has grown, it faces new challenges, particularly regarding fare
estimation and driver payout. Recently, Ola has introduced a ride fare estimation system that provides its customers with
two fare ranges. This focus on offering transparency has led to dissatisfaction among both drivers and passengers, as
drivers increasingly demand higher pay, often leading to fare conflicts.