bluuebunny/crossref_metadata_2025 huggingface dataset:
Radar Powered Perception: Multiple Approaches for Vehicle Classification
Authors: - Deepak Kumar Misra , - Brijesh Jha , - Shyam Raman
Published: August 2024

The proliferation of Advanced Driver-Assistance Systems (ADAS) and autonomous vehicles demands robust and reliable techniques for vehicle detection and classification. This paper investigates the potential of automotive radar systems for this critical task, focusing on classifying vehicles into three distinct categories (bus/truck, car/sedan/SUV, bike/bicycle). We explore multiple approaches that leverages rich set of features extracted from radar measurements. These features include target size, point density, and other signature characteristics derived from the radar return signal. By analyzing these features, we explain multiple approach aims to achieve vehicle classification. The effectiveness of the proposed method is evaluated using real-world data, with a particular focus on demonstrating its suitability for real-time applications in ADAS. The paper delves into the critical trade-offs that exist between classification accuracy, computational complexity, and inherent limitations of automotive radar sensors. We discuss the impact of sparse data, such as low point cloud data on classification accuracy. Additionally, we discuss on potential mitigation strategies to ensure reliability in challenging scenarios. Finally, the paper concludes by outlining potential future directions for enhancing vehicle classification using automotive radar systems. These advancements will pave the way for the development of more robust and reliable ADAS and autonomous vehicles, ultimately contributing to improved safety on our roads.
Behavioral Biases and Decision-Making in Investment among working individuals in the education sector
Authors: - Sandhya. P , - Dr. K. Niranjanaa Devi
Published: August 2024

This study investigates the impact of behavioral biases on investment decisions among working individuals within the education sector. Behavioral finance theory serves as the theoretical foundation, emphasizing the role of psychological factors in shaping investment choices. The study employs a mixed-methods approach, combining surveys and in-depth interviews to gain insights into the investment behavior of educators, administrators, and support staff. Our findings reveal that a range of behavioral biases, including loss aversion, overconfidence, and herding, significantly influence investment decisions. Working professionals in the education sector often exhibit a strong preference for conservative investment strategies, even when market conditions may suggest otherwise. Psychological factors, such as fear of losses and a tendency to follow trends, play a vital role in shaping investment behavior. These biases are further exacerbated by a lack of financial literacy and investment education. The implications of this research suggest a need for targeted financial education programs to mitigate behavioral biases and enhance decision-making among working individuals in the education sector. Addressing these biases can lead to more informed and diversified investment strategies, potentially improving financial security and long-term wealth accumulation for this demographic. This abstract provides a brief overview of the research focus, methodology, key findings, and the potential implications of the study. It gives readers a clear understanding of the research's scope and significance.
Trends in Greenhouse Production Technology with Special Reference to Protected Cultivation of Horticultural Crops
Authors: - Virendra Kumar Patel , - Lalit Pratap Singh , - Dulichand Sharma , - Karan Singh , - Sanjay Sudan , - Vijay Kumar Koul
Published: August 2024

Greenhouse is an important application scenario of modern agriculture. With the improvement of people's life quality, the demand for vegetables, fruits, flowers and has also increased, and the amount of greenhouses has developed rapidly. Greenhouse adopts artificial technical means to change natural light and temperature conditions, and to create environmental factors to optimize the growth of animals and plants, so that greenhouse crops can grow throughout the year and the weather. Compared with traditional planting methods, the greenhouse is more automated, intelligent, and mechanized. Greenhouse farming (Protected cultivation) refers to the practice of growing crops in an enclosed or partially enclosed environment, such as greenhouses, shade houses, or high tunnels. The primary purpose of protected cultivation is to create a controlled microclimate that shields the crops from adverse weather conditions, pests, and diseases, while optimizing environmental factors. It involves the use of structures, materials, and technologies that provide a protective barrier and allow for manipulation of temperature, humidity, light, and other environmental variables. The benefits of greenhouses are high production per unit area because the genetic potential of the crop can be completely exploited, vegetables and nurseries can be grown off-season that obtain high market prices, good quality products and it is easy to protect the crops from pests, diseases and extreme climatic conditions. Greenhouse farming is a highly intensive industry that needs considerable labour and capital inputs. Because of this, all factors important for a successful enterprisers should be carefully considered by potential growers.
A Study On The Impact Of Digital Marketing On Consumer Buying Behaviour
Authors: - Punita Ganesh Nayak , - Rekha P
Published: August 2024

In customer-oriented marketing environment, the buying pattern of consumer changes at a fast rate. The consumer behaviour is influenced by various factors like price, features, quality, packaging, status, generation, age of the customer, etc. the technological factor influences consumer buying behaviour to a great extent. New innovations in technology have brought challenges and opened up opportunities for existing businesses. Businesses all over the world have been adapting technology related strategies to enable them to maximise customer networks. Technology has revolutionised marketing, moving it from more conventional forms to digital marketing, which uses digital media to communicate marketing material. A significant portion of customer purchasing behaviour is influenced by digital marketing. Digital platforms like blogs, websites and social networks are crucial for boosting a business’s sales and strengthening its clientele. Therefore, its crucial to comprehend how and where these channels affect consumer behaviour. This paper focuses on how consumer purchasing behaviour is impacted by digital ads, social media, blogs and reviews. A survey is made to perform the research and each respondent is given a well-crafted questionnaire. Analysis and interpretation are limited to the data obtained from the questionnaire.
Integrating Behavioural Economics into Skill Development
Authors: - Dr. Makala Gandhi
Published: August 2024

Abstract
The contemporary economic scenario, characterized by modern technology and global relationships, demands a workforce equipped with both traditional economic knowledge and modern skills. This research explores the evolving trends in economics skill development, focusing on how educational institutions are adapting their curricula to meet these emerging demands. Traditional lecture-based methods, as criticized by early scholars like Becker and Watts, are increasingly being replaced by interactive, student-centred methodologies that foster critical thinking and problem-solving abilities. The integration of digital tools and data analytics into economics education, highlighted by McGoldrick and Peterson, reveals the broader shift toward data-driven decision-making in the global economy.
Furthermore, the integration of behavioural economics, data science, and other interdisciplinary fields, enhancing students' ability to apply economic concepts to real-world experiments. This research employs a diverse-methods approach, combining surveys of educators and students with content analysis of current economics programs, to identify key trends in skill development. This study reveals a strong emphasis on data analysis skills, the integration of interdisciplinary content, and the adoption of experiential learning methods such as internships and case studies.
These shifts specify a move away from traditional theory to practical, applied learning experiences enhance the students to meet demands of the modern economy. The study concludes with recommendations for better investment in educational resources, and an increased focus on experiential learning. By adapting these trends, economics education can continue to produce professionals capable of navigating the people towards global economy.
A Case Report On Metoprolol Induced Nightmares And Hallucinations
Authors: - Nayana Rachel Koshy , - Lidiya Anna Kuriyan , - Swetha Reba Mathews , - Jacob Jesurun RS
Published: August 2024

Metoprolol is a cardioselective beta-1-adrenergic blocker. It is frequently prescribed for cardiovascular conditions but is associated with potential central nervous system adverse effects, including hallucinations and nightmares. We discuss the case of an 84-year-old female with mixed aortic valve disease who experienced hallucinations and nightmares after starting metoprolol medication. Her symptoms improved after she stopped using metoprolol, indicating a likely causative link. This example emphasizes the significance of rapidly diagnosing and addressing adverse medication reactions, especially in elderly patients who may have underreported symptoms. Understanding the pharmacological properties of lipophilic beta-blockers and their effects on neurological function is critical for improving patient care and reducing negative outcomes
A Concise Overview of Biomaterials and the Diverse Uses of Nano Hydroxyapatite across Different Fields
Authors: - Suja Jose.J , - Sivamalar.S , - Ravi.K
Published: August 2024

Bruck (1900) defined biomaterials as substances, whether synthetic or natural, designed for use in prosthetic, diagnostic, therapeutic, and storage applications involving contact with tissue, blood, and biological fluids. They must not harm living organisms or their components. Biomaterials interact with tissues and bodily fluids over extended periods. They fall into two main categories: natural biomaterials sourced from plants or animals, which can enhance, replace, or restore biological tissues with properties like in-vivo immunomodulation, detoxification, and biomimicry (e.g., proteins, gelatin, alginate, silk, fibrin, cellulose, chitin, chitosan); and synthetic biomaterials, manufactured in laboratories or industries by human effort (e.g., metals, ceramics, polymers). Natural and synthetic biomaterials notably differ in their ability to provoke host responses upon implantation, including inflammation, matrix formation, blood interactions, and the development of granulation or fibrous capsules
Study of Effect of Radiation Hazards in Human Life
Authors: - M K Maurya , - Satyam Yadav
Published: August 2024

In this paper, we have investigated the effect of radiations on human life by expressing the exponential decay law curve, dose curve, shielding effectiveness curve and radiation exposure simulation curve. Also this research investigates the impact of radiation hazards on human health, focusing on both quantitative data and qualitative case studies. Utilizing a comprehensive analysis of radiation exposure levels and their associated health outcomes, we plotted various graphs to illustrate the correlation between radiation dose and adverse health effects. Our research combines empirical data with in-depth case studies to assess how different levels and types of radiation influence human life. The findings reveal a significant relationship between radiation exposure and increased risks of several health conditions, including cancer and radiation sickness. By analyzing the plotted data and case studies, this paper provides a detailed understanding of the short-term and long-term effects of radiation hazards. The results underscore the importance of effective radiation safety measures and informed public health policies to mitigate these risks.
Exploring the Difficulties of Integrated Science Education in Rufunsa District: A Study of Selected Secondary Schools
Authors: - Victor Mwila , - Masauso Peter Chawinga
Published: August 2024

This study aims to investigate the difficulties faced in integrated science education in Rufunsa District, focusing on selected secondary schools. The research identifies and examines specific challenges encountered by both teachers and students, assesses the availability and adequacy of teaching and learning materials, and evaluates the overall teaching and learning conditions within these schools. Additionally, the study explores the impact of these difficulties on educational outcomes in integrated science. By highlighting the key barriers to effective science education, the research offers recommendations to improve the quality and delivery of integrated science education in Rufunsa District, ultimately enhancing student learning and performance in this critical subject area.
A Review on Data Mining Issues, Solution & Techniques
Authors: - Nandani Sharma , - Rajesh Boghey , - Ritu Prasad
Published: August 2024

Data mining, the process of discovering patterns and knowledge from large datasets, has become a cornerstone of decision-making across various domains including business, healthcare, and finance. This paper reviews the current landscape of data mining applications, exploring the diverse techniques employed and the challenges faced. Key issues include data quality, privacy
concerns, and the scalability of mining algorithms in the face of increasingly large and complex datasets. We discuss solutions to these challenges, such as advancements in data cleaning methodologies, privacy-preserving techniques, and the development of scalable algorithms. Additionally, we provide a comprehensive overview of current data mining techniques, including
clustering, classification, and association rule mining, and evaluate their effectiveness in addressing real-world problems. The paper aims to provide understanding of both the potential and limitations of data mining, offering insights into future research directions and technological advancements needed to overcome existing hurdles.
Machine Learning System Aware Optimization
Authors: - Pratima Sharma , - Priyanka Sharma
Published: August 2024

ABSTRACT
New computer systems have emerged in response to the increasing size and complexity of modern data sets. In order to ensure optimum performance, software approaches have to be closely matched with the basic features of systems. This research demonstrates the impact of system-sensitive machine learning using an optimizer lens, a crucial design and solution factor in the majority of machine learning problems. The exactness and convergence rates are traditionally measured for the optimization method. In contrast, a number of system-related variables are crucial to modern computing systems' overall efficiency. Specifications such as data or parameters for the device and higher-level meanings, such as communication and computer interconnections may be included. We propose CoCoA, an overall learning method that closely reviews and incorporates device parameters into the process and theory. We have shown the impact of CoCoA on two conventional distributed systems, that being the traditional cluster environment and the increasingly (founded) machine learning environment. Our results show that we get orders of magnitude quick, by combining system parameters and optimization techniques, to solve current machine learning difficulties. These empirical findings support the assumption that device parameters give more knowledge about the scientific performance.
Digital Democracy in India: How Social Media Shapes Political Narratives?
Authors: - Shabya Rani Suna
Published: August 2024

Social media has significantly impacted the landscape of Indian electoral politics, transforming the dynamics of political campaigning and voter engagement. The adoption of platforms such as Facebook, Twitter, WhatsApp, and Instagram in Indian political campaigns represents a fundamental shift in how political messages are crafted and disseminated. The 2014, 2019, and 2024 general elections highlight the strategic role of these platforms in shaping electoral outcomes. The Bharatiya Janata Party (BJP), under the leadership of Prime Minister Narendra Modi, has employed social media not only as a tool for broadcasting campaign messages but also for creating interactive, data-driven strategies that personalize voter engagement. This paper examines the multifaceted impact of social media on Indian politics, including its influence on voter behaviour, campaign strategies, and public opinion. It explores both the empowering aspects of digital engagement and the challenges, such as misinformation, echo chambers, and algorithmic biases. The aim is to provide a comprehensive understanding of how social media has redefined political communication and its implications for democratic processes in India.
Portfolio Prediction using Deep Learning
Authors: - Kunwar Aditya Singh , - Vedant Singh Chauhan
Published: August 2024

This research investigates the use of Long Short-Term Memory (LSTM) networks for predicting stock prices and optimizing investment portfolios. Utilizing a dataset comprising the top 30 U.S. companies by market capitalization from 2009-12-31 to 2021-12-31, excluding AbbVie, Meta, and Tesla due to their later market listings, we demonstrate that LSTM models outperform conventional Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN) in generating accuracy and portfolio returns. By efficiently capturing long-term dependencies within stock price data, LSTMs offer more reliable predictions, which are crucial for optimizing investment portfolios. Our methodology involves data collection and preprocessing, model building using LSTM architecture, and evaluating performance using metrics such as mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), mean absolute percentage error (MAPE), and mean percentage error (MPE). The results indicate that LSTM models not only enhance prediction accuracy but also improve portfolio returns compared to equally weighted and market capitalization weighted portfolios. This research provides significant insights into the benefits of using advanced deep learning techniques like LSTMs for financial market predictions and portfolio management.
Categorization of the Inevitable Causes of Blood and Components Wastage Detected in South Indian Urban Blood Centre
Authors: - Irshad Ahmed Syed
Published: August 2024

Background: Since there is no artificial substitute for human blood, it plays a vital role in the patient management in this era of modern medicine. Therefore the donated blood from a healthy donor is precious and must not be wasted without proper utilization. Blood wastage is a universal phenomenon which needs a careful approach with strict guidelines. The study aims at categorizing the various inevitable causes of wastage with an attempt to determine ways of preventing the loss due to non-utilization.
Materials and Methods: A retrospective – cross sectional study was conducted in a newly started Stand-alone Blood Centre in South Indian Urban city between June, 2022 and June 2024.All the components including Whole Blood (WB), Packed Red Blood Cell Concentrate (PRBC), Platelet concentrate (PC) and Fresh Frozen Plasma (FFP) were included in the study. The reasons for blood and component wastage was noted down from the various Registers of the Blood Centre and all the data was analyzed using Microsoft Excel Spread Sheet.
Results: A total of 2456 units of blood were collected. 5284 components were prepared from these which includes 42 units of Whole Blood, 2397 Packed Red Blood cells(PRBC), 2393 Fresh frozen Plasma(FFP), 452 Platelet Concentrate(PC).Overall discard rate was found to be 11.90%. PC discard rate was highest (49.34%) followed by WBU (19.04%), PRBC (13.01%) AND FFP (3.59%). The commonest cause for the discarding was expiry of the shelf life of blood bags (74.72%) followed by damaged bags (9.69%) and TTI’s (6.76%).
Conclusion: Blood and its components wastage is an inevitable reality which needs to be approached as upmost priority. Zero wastage of blood and components may be targeted by recommendations like appropriate training of the blood bank staff, keeping negative group donors on reserve, strictly following FIFO policy while dispensing blood, whole blood unit collection may be minimized, encouraging Single Donor Platelets (SDP) by apheresis instead of Random Donor Platelets (RDP) preparation, Blood Utilization Committee to be made mandatory and permission for reciprocal sharing of blood components among blood banks.
Emotion Detection using EEG Signals in Image and Video Processing: A Survey
Authors: - Poorani Nivetha .R , - DR.S.Batmavady
Published: August 2024

Brain serves as the body's processing of knowledge and management centre. The central nervous system directly produces ElectroEncephaloGram (EEG) physiological signals, which are strongly associated with human emotions. In the upcoming years, there will be an increase in interest for identifying emotion using brain waves by EEG (ElectroEncephaloGraphy) signals. It takes efficient and effective signal processing and feature extraction techniques for detection of emotions from human biological brain signals. Current approaches gather valuable information from a fixed number of ElectroEncephaloGraphy (EEG) channels utilizing variety of methodologies. This work analyses the different difficulties and problems associated with EEG signals for emotion identification and provides a comprehensive summary of several contemporary approaches. Pre-processing, feature extraction, and categorization are the first steps in the process of recognizing emotions from EEG signals. The main goal of this survey is to sought and enhance brain signal-based emotion detection ability by comparing all novel and adaptive channel selection technique that recognize the distinct changes in brain activities that varies between individuals and emotional states.
From Waste to Wonder: Leveraging Rust Dyeing and Eco-Printing for Modern Sustainable Textiles
Authors: - Akanksha Nautiyal , - Vrahistha Daruwalla
Published: August 2024

In rust dyeing, rusted objects are repurposed to transfer unique patterns and earthy tones onto fabric, transforming what might be considered waste into beautiful, sustainable works of art. This study investigates the combined effects of rust dyeing and eco-printing on different fabric types—cotton, modal, viscose, and polyester. Rust dyeing was performed using rusted iron nails to impart earthy tones of brown and orange to the fabrics. Following the dyeing process, eco-printing was carried out using Psidium guajava (guava) leaves that were pre-mordanted with a ferrous sulphate solution. The colourfastness, pattern quality, and overall appearance of the rust-dyed fabrics post eco-printing was assessed. Results revealed that rust dyeing produced distinct shades on each fabric type, with cotton and modal showing the most pronounced colour retention and eco-print detail. Viscose exhibited moderate colour absorption, while polyester showed limited dye adhesion and eco-print definition. The study concludes that while rust dyeing and subsequent eco-printing can effectively enhance the aesthetic qualities of natural and regenerated cellulosic fabrics, polyester's synthetic nature poses challenges in achieving vibrant and durable impressions. The findings provide insights into optimizing eco-printing techniques for diverse fabric types and contribute to the broader understanding of sustainable textile processes. By embracing the unpredictability of nature, artists and designers can create one-of-a-kind designs that reflect the textures, shapes, and hues found in the environment. These eco-friendly approaches not only reduce reliance on synthetic dyes but also transform everyday materials, often considered waste, into beautiful works of art.
DBCLS BioHackathon 2024 report: Everything about workflow and container
Authors: Tanjo Tomoya , Steinberg David , Crusoe Michael Robin , Bendiken Arto , Noisagul Pitiporn , Yamamoto Kentaro , Ishii Manabu , Goto Naohisa , Higuchi Chihiro
Published: August 2024

Workflow engines are now widely used for genome analysis workflows.On the other hand, there are still difficulties to build and execute their workflows in various aspects.Here are examples of such difficulties:How to develop our workflows in workflow languages such as Common Workflow Language (CWL), Snakemake, Nextflow, and others?How to integrate our workflows with containers such as Docker, Singularity, and Podman?How to integrate our workflows with job schedulers such as Slurm and GridEngine?Our group solved these problems with the following activities. First, we cooperated with other groups to develop their workflows, and to make their workflows integrated with containers.Second, we developed and improved workflow ecosystems to remove the barriers to develop and execute their workflows. Ecosystems include workflow executors, specifications of workflow languages, and workflow-related tools.This paper reports what we did during the DBCLS BioHackathon 2024.
Pengembangan Media Pembelajaran Magic House Untuk Mata Pelajaran PAI di Sekolah Dasar
Authors: Habibah Kamaliya , Dzulqodah Ira Hawa , Sadewa Adam Capri , Munawwarah Khusniatul , Aen Stevanny Naimatul , Binasdevi Misbah
Published: August 2024

Berdasarkan observasi yang dilakukan di sekolah dasar, proses pembelajaran belum sepenuhnya menggabungkan media pembelajaran untuk meningkatkan pemahaman siswa dan menciptakan suasana kelas yang interaktif. Tujuan dari penelitian ini adalah untuk mengukur pemahaman siswa setelah memanfaatkan media Magic House dalam proses belajar mengajar. Penelitian ini dilakukan dengan metode penelitian dan pengembangan (RD), yaitu upaya untuk membuat atau memperbaiki produk agar dapat dipertanggungjawabkan. Model ADDIE dipilih untuk prosedur penelitian ini karena kesederhanaannya, alur kerjanya yang jelas, dan kesesuaiannya dengan karakteristik pembelajaran. Analysis, Design, Development, Implementation, dan Evaluation adalah lima langkah yang membentuk model ADDIE. Setelah implementasi dilakukan pada siswa, angket digunakan untuk mengumpulkan data tentang kepraktisan Magic House. Hasil penelitian menunjukkan bahwa media pembelajaran yang diujicobakan pada siswa mendapatkan persentase tertinggi sebesar 98% dan dianggap sangat praktis.
Peran Guru dalam Menerapkan Hidden Curriculum pada Peserta Didik Madrasah Pembangunan UIN Syarif Hidayatullah
Authors: Khoirunnisa Naya Nurlaila , Hindun Hindun
Published: August 2024

Kurikulum tersembunyi merupakan kurikulum yang tidak tertulis atau sebagian pengajar yang menerapkan kurikulum tersembunyi akan membentuk karakter peserta didik agar mempunyai sikap yang lebih baik dari sebelumnya, dan lebih banyak termotivasi untuk belajar. Penelitian ini menggunakan metode peneliti menggunakan metode kualitatif deskriptif dengan teknik wawancara kepada salah seorang guru yang mengajar kelas 1 di Madrasah Pembangunan UIN Syarif Hidayatullah Jakarta. Hasil penelitiannya bahwa guru tersebut menerapkn kurikulum tersembunyi atau hidden curriculum yaitu di anataranya menerapkan zikir dan do’a setelah sholat, do’a-do’a harian, pesan tausiyah, membaca al-qur’an dengan teknik bacaan tilawati. Dengan menerapkan kurikulum tersembunyi atau hidden curriculum tersebut dapat bermanfaat bagi peserta didik.
DESIGN OF BIOMASS FUEL AS ENERGY
Authors: Ray Kentkhute  , Diananto Prihandoko  , Handayani Sriwinarno
Published: August 2024

Biomass waste from wood carpentry, which amounts to 15-20% of the woody biomass used, is still not fully utilized. Meanwhile, the biomass can be utilized as a renewable energy source derived from natural materials. The design of energy utilization from biomass waste as an alternative energy source for cooking is a simple utilization effort that can be done by the community. So on the stove design to utilize this waste wood chip biomass is done semi-closed combustion with a limited amount of air entry, so that the heat calorie fire stove that occurs will come out centrally on the hole above the stove. So the selected research topic is the way of utilization of wood chip waste biomass into alternative energy sources for cooking needs. The purpose of this research is to get the design of the utilization of biomass waste (wood chips) as an alternative energy source for cooking. The treatment in this study is the number of holes on the bottom plate of the stove, namely: A has 3 holes, B has 4 holes, C has 5 holes, and D has 6 holes. Based on the result of the analysis of variance (ANOVA), it is seen that the value of F- count is much bigger than the F-Table value either 5% or 1%, so Ho will be rejected and receive H1. This means that the treatment of the number of holes on the plate under the design of the biomass waste stove (wood chips) as a fuel gives a very real effect of its ability in the heat achievement to boil test water as much as 1 liter in the test pan. The treatment which gives effect and different from all other treatments is the D treatment with 6 holes on the bottom plate of the stove, which has a larger LSD value for 1%, but for the C treatment with 5 holes on the bottom plate of the stove is only different at the 5% level. While for treatment C to treatment A and B only differ on level of 5% only. The conclusion of this study is that the best stove design is D treatment, with a faster flame stabilized with a more perfect combustion process and leaving only a small amount of charcoal.
MANAJEMEN PERENCANAAN DAN PENGORGANISASIAN CABANG OLAHRAGA UNGGULAN KONI KABUPATEN SINJAI
Authors: Husain Andi Baso , Sianto Moh. Ifkhal , Cakrawijaya Muhammad Hidayat
Published: August 2024

Organisasi olahraga di Indonesia, termasuk di Kabupaten Sinjai, memainkan peran penting dalam pembinaan dan pengembangan prestasi olahraga. Penelitian ini bertujuan untuk mengkaji manajemen cabang olahraga unggulan di bawah naungan organisasi tersebut di Kabupaten Sinjai, dengan fokus pada upaya peningkatan prestasi olahraga. Penelitian ini menggunakan pendekatan kuantitatif deskriptif dan melibatkan 50 responden, terdiri dari pengurus (28 orang), pelatih (2 orang), dan atlet (20 orang). Hasil penelitian menunjukkan bahwa: Perencanaan: Skor tes menunjukkan kategori kurang handal (32,56). Hal ini menunjukkan perlunya perbaikan dalam aspek penetapan tujuan, perumusan strategi, dan penyusunan program kerja yang lebih terarah dan terukur. Pengorganisasian: Skor tes menunjukkan kategori kurang handal (33,32). Perlu ada peningkatan dalam aspek pendelegasian tugas, koordinasi antar pengurus, pelatih, dan atlet, serta struktur organisasi yang lebih efektif. Penelitian ini merekomendasikan beberapa langkah untuk meningkatkan manajemen cabang olahraga unggulan di Kabupaten Sinjai, antara lain: Penyusunan program kerja yang lebih terarah dan terukur, dengan mempertimbangkan potensi atlet dan sumber daya yang tersedia. Peningkatan koordinasi antar pengurus, pelatih, dan atlet dalam pelaksanaan program latihan dan pertandingan. Pembinaan dan pelatihan berkelanjutan bagi pengurus, pelatih, dan atlet untuk meningkatkan kualitas dan profesionalisme. Dengan upaya-upaya tersebut, diharapkan manajemen cabang olahraga unggulan di Kabupaten Sinjai dapat dioptimalkan untuk mencapai prestasi olahraga yang lebih baik di masa depan.
Efektivitas Fly Ash Sebagai Adsorben Dalam Menurunkan Chemical Oxygen Demand (COD) pada Air Limbah Pulp and Paper
Authors: Nurjanah Irma , Jalius Jalius , Viareco Hariestya
Published: August 2024

This study aims to determine the characteristics of fly ash as an adsorbent that has been activated and to determine the optimum conditions of fly ash adsorbent to reduce the COD value of pulp and paper wastewater. The characteristics of water content, ash and iodine number were tested. The quality of fly ash adsorbent is done by determining the optimum pH, mass and time. The variations of pH 4,5,6,7,8,9 and 10, mass 0.5 g, 1 g, 1.5 g, and 2 g and contact time variations are 5 minutes, 15 minutes, 30 minutes, 45 minutes and 60 minutes. This research method uses experimental method with Complete Randomized Design analysis by conducting Anova test and Duncan's further test.  The results showed that the test results of the characteristics of water content, ash and iodine number have met SNI 06-3730-1995 regarding technical activated charcoal. The optimum conditions obtained during adsorption consisting of optimum pH was found at pH 4 with % Removal COD as much as 18.1%, the optimum mass obtained was 1 gram with % Removal COD as much as 24.8%, while the optimum time obtained was 15 minutes with % Removal COD as much as 20.38%. The adsorption results show that the decrease in COD of pulp and paper wastewater is still not effective in accordance with PermenLH No. 5 of 2014.
Optimalisasi Strategi Pemasaran Melalui Afiliasi E-Marketing Untuk Meningkatkan Konversi : Analisis Mendalam Terhadap Tren Industri Dan Praktik Terbaik
Authors: Amali Amali , Hidayah Aldy , Angela Devani Nadia Vita Kusuma , Hamidah Jilan
Published: August 2024

Affiliate e-marketing has become one of the most effective approaches in expanding reach and increasing sales in today's digital business environment. However, there are still obstacles in determining the right marketing strategy on the target market. This journal investigates optimization strategies to harness the potential of affiliate marketing in increasing conversions. Through an in-depth analysis of industry trends and best practices, this journal aims to provide valuable insights for digital marketing practitioners. The method used in this research is secondary data analysis where the research is qualitative. Here we see a great opportunity to be generated from an e-marketing affiliate business and will be a profitable business domain for affiliates in the future. The results of this study make sales in digital business can identify industry trends to optimize the use of affiliate marketing and achieve success in this increasingly digital business environment.
Implementasi Algoritma Naïve Bayes dan Algoritma C4.5 Untuk Melakukan Analisis Sentimen terhadap Ulasan Komentar Pengguna TikTok di Google Play Store
Authors: Aprilyana Dhea Putri , Priatna Wowon , Setiawati Siti
Published: August 2024

TikTok is a popular application among young people. TikTok was an application initially launched in China before landing in Indonesia at the end of 2017. Unfortunately, the popularity of TikTok stems from personal lack of self-image, for example wearing sexy clothes, dancing in erotic and inappropriate moves. This is based on many positive and negative comments from TikTok users. So we need a way to automatically classify reviews through sentiment analysis. The purpose of this study is to classify TikTok user comments on Google Play Store using Naive Bayes and C4.5 algorithms. This study used 1330 data, of which 602 data were negative and 728 data were positive. The results show that the Naive Bayes algorithm produces accuracy values ​​of 79.00%, 79.00% precision, 78.00% recall, and 78.00% F1 score. The C4.5 algorithm produces 68.00% accuracy, 68.00% precision, 68.00% recall, and 68.00% F1 score. We can conclude that the Naive Bayes algorithm is the best algorithm compared to the C4.5 algorithm. The Naive Bayes algorithm achieves an accuracy value of 79.00%.
THE ESSENCE OF THE STAGE OF PAROLE IN THE EXECUTION OF PUNISHMENT AND ITS THEORETICAL AND LEGAL ASPECTS
Authors:   Teacher of The Department of Penitentiary Activities of The Academy of The Ministry of Internal Affairs of The Republic of Uzbekistan, Ugli Khalilov Doniyor Abdulazzat
Published: August 2024

In this article, the author provides a legal explanation of the stage of punishment in which conditional early release from serving a sentence, the experience of foreign countries in this regard, the opinion of legal scholars, as well as the decision of the court that issued conditional early release from serving a sentence.
DEVELOPMENT OF LINGVOCULTURAL COMPETENCE IN THE DIGITALIZATION PROCESS
Authors:   PhD, Lecturer At The Namangan State Institute Of Foreign Languages, Uzbekistan, Yakubbayev M.M.
Published: August 2024

This article is devoted to the problem of the development of lingvoculturalcompetence in students in the process of digitalization. It is noted that this competence is an integral part of the language structure.
Analisis Kualitas Website Absensi Karyawan Menggunakan Metode Webqual 4.0 dan Importance Performance Analysis
Authors: Putra Gerhana , Sundari Jenie
Published: August 2024

PT. Fiber Media Indonesia merupakan sebuah perusahaan telekomunikasi, sedang menerapkan sistem absensi berbasis web untuk meningkatkan pengalaman dan kepuasan pengguna. Namun, banyak pengguna masih memiliki umpan balik negatif tentang sistem absensi berbasis web. Studi ini bertujuan untuk menganalisis kualitas sistem absensi berbasis web menggunakan Webqual 4.0 dan Importance Performance Analysis (IPA). Studi ini berfokus pada memahami kepuasan pengguna dengan sistem absensi berbasis web, mengidentifikasi potensi risiko dan masalah, dan memberikan rekomendasi untuk meningkatkan sistem absensi berbasis web. Penelitian ini menggunakan Webqual 4.0 dan IPA untuk menilai kualitas dari situs web, kepuasan pengguna, dan efektivitas sistem absensi berbasis web. Hasilnya menunjukkan bahwa sistem absensi berbasis web ramah pengguna, dengan rata-rata 89.4% pengguna menganggapnya mudah dan informatif. Analisis GAP dalam penelitian ini adalah -0.90, yang menunjukkan bahwa sistem absensi situs tidak memenuhi kebutuhan atau minat pengguna.
Peran Pendampingan Perguruan Tinggi Dalam Keberlanjutan UMKM
Authors: Sutarti Sutarti , Mulyana Mumuh , Hermawan Yanto , Fahsany Donny Hendry , Herawati Heti , Nurjanah Yayuk
Published: August 2024

ABSTRACTThis study aims to identify an innovative and sustainable MSME mentoring model through community service by IBI Kesatuan lecturers. A case study at UPPKS Matahari, Bitungsari Village shows that the combination of face-to-face mentoring and the use of information technology has succeeded in increasing the capacity of MSMEs in managing their businesses independently. The mentoring program that includes training, consultation, and market access facilitation has encouraged MSMEs to develop new products and services, and improve product quality. The results of this study provide important implications for universities in designing community service programs that are relevant to the needs of MSMEs and support sustainable local economic development.Keywords: MSMEs, Universities, Sustainability.
Assessing The Impact of Rising Cost of Materials On Construction Activities in Enugu, Enugu State, Nigeria
Authors: Okeke F.N , Obiora C.O
Published: August 2024

This study focused on assessing the impact of rising cost of building materials on construction activities in Enugu, Enugu state, Nigeria. The aim of this study is to assess the impact of rising cost of materials on construction activities in Enugu, Nigeria in order to proffer a solution to the rise in the cost of these materials used in everyday construction in Enugu state. With the following objectives; to identify the factors that lead to increasing cost of material in Enugu State, Nigeria; to assess the impact of rising cost of materials on construction activities in Enugu; to proffer solutions to the rise in the cost of building materials. The research design employed was primary and secondary which encompasses descriptions and quantitative analysis on a randomly selected sample of receipt of building materials from the suppliers over the years. The population of the study is 223 professionals in the field and sample size of 143 which was gotten using Taro Yamane formula. The findings of the study reveals that the factors that lead to increasing cost on the building construction activities in Enugu State are; fluctuations in material costs, design changes and scope creep, regulatory compliance and permitting, project delays, weather and environmental factors, technology and innovation costs, interest rates and financing costs, and others. Finally, the study recommends that there will be need for relevant authorities in the building industry to re-examine and educate the people on its existence and equally generate the possible ways of reducing the increasing cost of building materials so as to enhance the building construction industry in Nigeria.
ASUHAN KEBIDANAN KOMPREHENSIF PADA NY.N DI WILAYAH PUSKESMAS PEKAUMAN BANJARMASIN
Authors: Nur Cahyani Ari Lestari  , Ainun Hudiyah Marpuah
Published: August 2024

According to the Indonesian Demographic and Health Survey (IDHS) 2017, the Maternal Mortality Rate (MMR) related to pregnancy, childbirth and the postpartum period is 265 per 100,000 live births, while the infant mortality rate is 27 per 1,000 live births. Number of live and active babies  born. In reducing MMR and IMR, as well as preventing complications in pregnancy and childbirth, early detection of high risk is very necessary with the support of quality services and other events such as counseling, classes for pregnant women and comprehensive care. Objective: To carry out comprehensive midwifery care for Mrs. H from pregnancy to family planning. Research method: This research is a case study by understanding the condition of the client and the problems faced by Mrs. P 22 years G1P0A0 UK 33 weeks, conducted in October 2020-January 2021, data collection namely observation, interviews, measurements and documentation using a case study instrument in the form of the SOAP midwifery care format. Results: Based on the assessment during pregnancy, Mrs. P is normal and has no complaints. Evaluation of the client in good and normal condition. Smooth delivery. The baby was born normal, during the visit no problems were found. Uterine involution is normal and there are no complaints. KB care for Mrs. P plans to take lactation pills. The care provided is in accordance with the standard of care
PENERAPAN SENAM TERHADAP KUALITAS TIDUR IBU HAMIL TRIMESTER III DI PUSKESMAS TANJUNG BALAI KARIMUN
Authors: Nilma  , Yenni Aryaneta  , T.Marzila Fachnawal  , Miftahul Jannah
Published: August 2024

According to the World Health Organization (WHO), the global prevalence of insomnia, which is a sleep disorder in pregnant women worldwide, is 41.8%. Pregnant women who have difficulty getting enough sleep can make the condition of pregnant women decrease, their concentration decreases, their bodies feel sore, they tire easily, they are not enthusiastic about working and they tend to be more emotional. Pregnancy exercise is one of the activities in health services during pregnancy. The aim of the study was to provide midwifery care to pregnant women for Mrs. E at 32 weeks of gestation with sleep pattern disturbance problems in her third trimester of pregnancy, by doing pregnancy exercises. This report method is a case study, data collection techniques with interviews, observation and documentation. Pregnancy exercise is carried out at least twice a week for 30 minutes. Pregnancy exercise will have a relaxing effect on pregnant women which can affect the improvement of sleep quality for pregnant women, thus causing pregnant women to have good sleep quality. For mothers, it is expected that physical exercise during pregnancy will provide many benefits, especially if pregnancy exercise is carried out regularly and on a scheduled basis, the effects of the pregnancy exercise will be felt on health, especially during pregnancy.
PEMBERIAN JAMBU BIJI MERAH TERHADAP PENINGKATAN KADAR HEMOGLOBIN PADA IBU HAMIL
Authors: Asiah Asiah , Utami Risqi
Published: August 2024

Anemia in pregnancy is a condition with hemoglobin (Hb) levels < 11gr% in the first and third trimesters while the hemoglobin level in the second trimester is < 10.5gr%. Untreated anemia in pregnant women will result in suboptimal growth and development of the fetus in the womb and has the potential to cause complications in pregnancy and childbirth, even causing maternal death. Prevention and treatment of iron deficiency anemia can be done by consuming blood supplement (Fe) tablets per day and adding vitamin C. Red guava is a fruit rich in vitamin C. The vitamin C contained in guava increases the absorption of iron by the body, so that the body can absorb iron optimally. The aim of this care is to provide care to anemic pregnant women by giving them red guava juice to increase hemoglobin levels. This research method is a type of descriptive research with a case study approach. The sample was 1 pregnant woman G1P0A0 UK 36 weeks with mild anemia. The care provided is by administering 1 x 250 ml of red guava juice per day for 7 days from 15 – 21 March 2024. Care is carried out in 2 visits. From 7 days of care, the result was an increase in the mother's hemoglobin level of 1.8 gr/dl, where previously the mother's first Hb was 10.7 gr/dl to 12.5 gr/dl. It was concluded that giving red guava juice can increase hemoglobin levels in anemic pregnant women.
PEMBERIAN GEL (ALOEVERA) TERHADAP STRETCH MARK PADA IBU POST PARTUM
Authors: Sridevi Sridevi , Yunita Prasida
Published: August 2024

According to the International Federation of Obstetricians and Gynecologists, pregnancy is defined as fertilization or the union of sperm and ovum at subsequent nidation or implantation. During pregnancy, a pregnant woman's body experiences physiological changes due to the secretion of the hormones somatomamotropin, estrogen, and progesterone by the placenta. This affects the physiological changes in the entire female reproductive system which can support the development and growth of the fetus in the womb. Especially in dark areas, due to the influence of melanophore-stimulating hormones. The aim of this research was to determine the effect of giving aloe vera gel to post partum mothers. This research method is a type of descriptive research with a case study approach. The sample was 1 post partum mother who was given gel (Aloevera) for stretch marks. By using a measurement observation sheet with OSAS (Observer Scar Assessment Scale). The results of giving Gel (Aloevera) to post partum mothers showed an effect on stretch marks, before giving it a score of 0 (real), after 1 week of treatment there was fading of the stretch marks score 1 (faint), so it can be concluded that giving Gel (Aloevera) effective against stretch marks in post partum mothers
TERAPI MUSIK UNTUK MENGURANGI KECEMASAN PADA IBU HAMIL TRIMESTER III
Authors: Debora Kote Florensia , Susanti Susanti
Published: August 2024

Anxiety is often referred to as a condition where the emotional state cannot be controlled and managed well, causing a person's adrenaline to become restless and unfocused on something. A feeling of anxiety is different from a feeling of fear. Anxiety can be expressed by behavior or physiological changes which can cause several other uncontrolled symptoms and will affect a person's personality. Anxiety that lasts a long time and is not resolved quickly will give a bad impression to the welfare of the mother and fetus where there are several things that might happen, such as the mother's uterine contractions being too fast and not appropriate for the gestational age. The aim of this case study was to measure the level of anxiety felt by pregnant women in the third trimester by carrying out music therapy treatment for 7 minutes in 1 consecutive week at BPM Midwife Paulina, Batam City in 2024. The method of care is in the form of a case study. carried out on third trimester pregnant women with mild anxiety with music therapy and using documentation in the form of SOAP. The sample was 1 pregnant woman with mild anxiety at BPM Midwife Paulina. The assessment of maternal anxiety measures uses a questionnaire consisting of 14 questions regarding anxiety. After 1 week with an estimated time of 7 minutes of treatment, it was found that the mother's anxiety had disappeared and was no longer there.