bluuebunny/crossref_metadata_2025 huggingface dataset:
Case Study on Ecological Reconstruction Technology of Hollow Village in Mountainous Hilly Area
Authors: Lei Na , Zhang Jinyang
Published: March 2024

The ecological reconstruction of hollow village should gradually improve the rural living environment, regulate the features of farm houses and courtyards, beautify the village, protect and restore the village facilities such as ponds and ditches, natural landscape and pastoral landscape, and keep the overall style of the village in harmony with the natural environment. We will formulate plans for the protection and development of traditional villages, protect traditional culture, improve the lists of historic and cultural villages, traditional villages and residential houses, and establish and improve mechanisms for protection and supervision. The development of leisure agriculture, rural tourism, cultural and creative industries, the use of small town infrastructure and commercial service facilities, the overall drive to improve the quality of rural living environment.
Analysis of Factors Affecting Carbon Emissions based on Gray Correlation Analysis
Authors: Yang Yixin , Li Deyu
Published: March 2024

In order to explore the influencing factors of carbon dioxide emissions, this paper collects data on carbon emissions and several influencing factors that may be related to its changes from 2004 to 2021, considering that too many indicators may make the data redundant and lack of representativeness, using the K-Means clustering algorithm to classify the indicators and defining the names of the corresponding first-level indicators, and analyzing the elbow diagrams for the determination of the model K-value. For the determination of the K value of the model, the optimal number of clusters was analyzed using the elbow diagram, so that the center of each cluster as the first-level indicator data was spliced with the normalized emission data to form a new dataset, and the correlation coefficients between the first-level indicators and the carbon emissions were finally calculated using the grey correlation analysis method. The results show that the ability to mitigate carbon dioxide content has the greatest impact on carbon content, and the correlation coefficient between the two reaches 0.756, which indicates that increasing the green area is very effective in achieving the goal of energy saving and emission reduction.
Analysis on the Low-carbon Transformation Path of China's Logistics Industry under the Background of Carbon Neutralization
Authors: Yang Xinyun , Zhao Hanlin , Wang Yiming
Published: March 2024

Under the background of “carbon neutrality”, green and low-carbon have gradually become a broad consensus of the whole society. As an important part of social and economic development, the logistics industry consumes a large amount of energy and urgently needs low-carbon transformation.This paper analyzes the problems encountered in the low-carbon transformation development of our country's logistics industry and puts forward the necessary solutions, which will not only promote the development of the low-carbontransformation of our country's logistics industry, but also promote the realization of the goal of "carbon neutrality" as soon as possible. Based on the economic and social development of our country under the "double carbon" policy, facing the dilemma of low-carbon transformation of logistics industry in China, this paper puts forward the general and concrete ideas of low-carbon transformation of logistics industry in our country, and puts forward the specific path and method under the guidance of the thought of low-carbontransformation, hoping to provide some references for the low-carbon transformation of logistics industry in China.
Research Status and Progress of Multi-antenna Technology
Authors: Wu Yulin , Ji Shuoyao , Duan Yuanbo
Published: March 2024

With the continuous upgrading of wireless communication technology, the types of mobile service businesses continue to increase, and the number of communication terminal equipment has also increased sharply, greatly increasing people's demand for wireless data traffic and network coverage. As one of the research hotspots of wireless transmission, multi-antenna technology can improve system transmission rate, improve spectrum utilization and expand network coverage. According to the different implementation methods, this paper discusses the research status of three typical multi-antenna technologies, such as antenna diversity technology, beamforming technology and spatial multiplexing technology, and looks forward to the potential research direction of multi-antenna technology in the future.
Measures to Overcome High School Students’ Communication Anxiety
Authors: Xiang Tingting
Published: March 2024

This essay examines the issue of communication anxiety among high school students who are beginners in the domain of interpersonal interactions. The paper aims to identify the challenges these students encounter while communicating and presents effective measures to overcome communication anxiety. Emphasizing the significance of fostering strong communication skills, the essay explores the potential impact on personal and academic growth.
Design of a Vehicle Fatigue Driving Detection System Based on Multiple Signals
Authors: Huang Yujie , Zhang Fengrong , Xu Shicheng , Wu Wei , Gao Min , Kang Zhijun , Liu Hao
Published: March 2024

In recent years, traffic accidents have occurred frequently, and most of them are related to the level of fatigue of drivers. In order to avoid the dangers of fatigue driving, this article judges whether the driver is in a fatigued state by analyzing the changes in pressure, angle, and distance during driving, so as to remind the driver to reduce the probability of accidents. In terms of hardware, we use the AT89C51 microcontroller as the main control unit, and configure infrared sensors, ultrasonic sensors, angular velocity sensors, and pressure sensors to detect the physical state of the driver. In terms of software, we use C language to write code and optimize and compile it through Keil software. The system can display the detected data on the LCD display screen and send an alarm at the same time.
Case Study on Architectural Heritage Conservation Taking Lu Zuofu Memorial Hall as an Example
Authors: Liu Manshu
Published: March 2024

Through the Lu Zuofu Memorial Hall and architectural heritage related literature research, the background of Lu Zuofu Memorial Hall and the architectural layout of the function of a brief introduction, and then analyze the Lu Zuofu Memorial Hall "protection and reuse" repair and protection methods, as well as Lu Zuofu Memorial Museum will be a combination of cultural display, ideological education, cultural experience and tourism and so on. Analyze the "protection and reuse" protection method of the real needs and with the former planning after the assessment of the renovation and protection of the concept of combination.
Real-time Welding Machine Status Recognition using Embedded Perceptron Color Classification Model
Authors: Wang Weihan , Xiao Jinchao , Gao Cheng
Published: March 2024

This paper aims to utilize the perceptron model in machine learning to achieve precise classification of the working status of welding machines by analyzing image data. We collected static images of welding and non-welding operations, extracted the R, G, B color values of the images, and labeled them accordingly (+1 for welding status, -1 for idle status). By employing the stochastic gradient descent method for training the perceptron model, we obtained the weights w and bias b of the model under the condition that all data points in the training set are correctly classified. The model's recognition accuracy was validated on the test set. Ultimately, we applied this model to the STM32f103zet6 microcontroller chip and successfully achieved real-time recognition of the welding machine's operational status during the welding process via a camera. Through testing, the classification accuracy reached 83.6%. Further optimization of classification criteria can be combined with relevant expert suggestions, providing a reference solution for monitoring and identifying the working status of welding machines in steel pipe production.
Research on the Evaluation of Comprehensive Logistics Capacity of Major Ports in Chengdu-Chongqing Economic Circle
Authors: Zhou Shaojie , Dong Jianrong
Published: March 2024

Under the new development pattern with domestic circulation as the main body and domestic and international dual circulation promoting each other, it has become the general trend to promote the construction of the Chengdu-Chongqing Twin Cities Economic Circle and deeply integrate into the development of the Yangtze River Economic Belt. Located in the upper reaches of the Yangtze River, the Chengdu-Chongqing Economic Circle is an important hub connecting the east and west, and its port has become an important strategic resource for the economic development of the hinterland. Although the port has developed rapidly in recent years, there are still many shortcomings in the face of new situations and new requirements. By establishing an evaluation index system and using the entropy weight-TOPSIS method to evaluate the comprehensive logistics capacity of the main ports in the Chengdu-Chongqing Economic Circle, this paper finds that each port has problems such as unbalanced development and the level of collection and distribution to be improved, and gives corresponding countermeasures to provide reference for the future development and construction of inland ports.
Research on Safe Wearable Target Detection Technology for Power Production Scenarios based on YOLOv5-C3CA
Authors: Ma Chiyi , Xiong Xingzhong , Liu Jun
Published: March 2024

Aiming at the establishment of a new generation of substation auxiliary equipment detection platform intelligence, this study proposes a power production industry personnel safety wear detection technology based on improved Yolov5-C3CA to meet the demand. First, the network performance is improved by adding the CA attention mechanism module to Yolov5s network; moreover, the CA module is modified to C3CA module and added to the model for more effective addition of the attention mechanism; finally, the AFPN network structure is used to replace the original feature pyramid network structure, which further effectively improves the utilization efficiency of shallow and deep features. The experimental results show that the mean average accuracy of the designed network is improved by 3.9% to 93.1% compared with the original network, and other evaluation indexes are also improved. It can be seen that the model modification in this paper has improved the performance of the detection network, and the improved network meets the requirements of the new generation of substation auxiliary equipment detection platform, which has a positive effect on the safety and reliability of the power production industry.
The Use of Schema Theory in the Teaching of Reading Comprehension
Authors: Xiao Yang
Published: March 2024

Reading is one of the important links in English teaching, and it is the fundamental way for students to accept texts, acquire knowledge and exchange ideas. Schema theory refers to the use of different schemas such as form, content and language in reading teaching to help students activate the original schemas and create new ones, so as to realize the transition from passive acceptance and perception of text information to independent reorganization of text information, improve reading efficiency and further enhance students’ comprehensive ability of reading comprehension. This paper will use the schema theory, combined with the characteristics of reading teaching in junior school English teaching, to study the application of the schema theory in the middle school English reading teaching, in order to cultivate students' interest in English reading and improve their English reading ability.
Research on Cost Sharing and Coordination of Low Carbon Supply Chain in the Context of Carbon Neutrality Strategy
Authors: Yang Yuanhao
Published: March 2024

For carbon emissions under the limit of supply chain cost sharing problem, based on the Shared contract perspective starkerberg game model includes the manufacturers and retailers, analyzes the cost sharing ratio, carbon trading price and unit carbon tax emissions on the supply chain, and the optimal strategy combination and carbon reduction cost allocation ratio is studied. The results show that the one-way cost sharing model is beneficial to the reduction of low carbon supply chain, while the two-way cost sharing model has a positive effect on the reduction of supply chain within the small allocation ratio. In addition, the sharing proportion of manufacturers is within a certain range, and the two-way emission reduction mode is the optimal choice for the supply chain. Meanwhile, the sharing proportion will affect the choice between decentralized and centralized decisions. In addition, the numerical analysis shows that the carbon emission reduction levels increase with the increase of carbon trading prices. The results have good reference significance for the carbon emission reduction decision and carbon reduction cost sharing contract among members of the low-carbon supply chain.
Challenges and Response Strategies of Digital Currency to Traditional Monetary Policy
Authors: Li Wenyang
Published: March 2024

The advent of digital currencies has presented both opportunities and challenges to the traditional monetary policy frameworks that have governed economies for decades. This paper explores the key challenges posed by digital currencies to traditional monetary policy and examines potential response strategies. With the rapid evolution of financial technologies, understanding and adapting to these challenges is crucial for central banks and policymakers to maintain monetary stability and financial system integrity. The accelerated growth of digital currencies has ushered in a new era, challenging the conventional paradigms of monetary policy. This paper delves into the intricate web of challenges presented by digital currencies and delineates responsive strategies crucial for navigating this uncharted territory. Emphasizing the dichotomy between decentralization and control, the analysis sheds light on the potential disruptions to monetary policy transmission channels, financial stability, and the implications for cross-border transactions. Recognizing the need for a nuanced approach, the paper advocates for the development of Central Bank Digital Currencies (CBDCs), robust regulatory frameworks, international collaboration, and fortified cybersecurity measures. As economies stand at the precipice of a digital revolution, understanding and proactively addressing these challenges are imperative for policymakers to usher in a harmonious coexistence of traditional and digital monetary systems.
Domestic and International Site Remediation Progress
Authors: Lu Nan , Luo Yuhu
Published: March 2024

The regulation of urban construction land can effectively solve the problems of inefficient use of urban land, idle land, urban stock land. This paper systematically combs the practice and experience of construction land regulation in several countries at home and abroad, which provides reference for the development of construction land regulation projects in China. Under the new situation, we should adapt to the current situation that the objects, objectives and models of land reclamation are more diversified, implement the strategy of land connotation excavation and reclamation and redevelopment. The urban and rural land use structure and industrial layout must be further optimized to promote the economic and intensive use of land, and promote urban renewal and industrial transformation and upgrading.
Design and Implementation of a Micro Controller for Robot Sensing and Driving
Authors: Chen Xingyu , Zhou Siru , Wu Yueqi , Li Jiayu , Wang Xianzhe
Published: March 2024

According to the control requirements of robot, the micro controller was designed, including the interface for the wireless transmission module NRF24L01, the sampling circuit for collecting the pressure sensing value, the DC motor drive function module, and the auxiliary circuit for ensuring the normal operation of the controller. After passing the hardware testing, the design of the PTZ control system is completed. The virtual reality environment is constructed using unity and VS software, Oculus is used as the head-mounted display, and then the pose sensor of Oculus is used to analyze and extract the pose sensing data for the control of the PTZ. The industrial camera is used to send back video, based on HSV algorithm for target recognition, and displaying video images in the virtual environment. And the above data was sent to the gimbal control system to finalize the virtual reality environment. Finally, the debugging and verification of the hardware architecture based on sensing and driving and the virtual reality environment were completed. And the scenario tests were conducted for the gimbal following and force feedback virtual interaction ball respectively, which verified the use of virtual reality technology to assist in controlling the robot and obtain the sense of immersive control experience.
QUIROPRAXIA: IMPORTÂNCIA E APLICABILIDADES NA MEDICINA VETERINÁRIA EQUINA
Authors: Tonsica Amanda Bernardelli , Santiago Davi Augusto Barbosa , Braga Giulia Soares , Santos Hemilly Oliveira dos , Tinós Mariana Amaduci , Sampaio Breno Fernandes Barreto
Published: March 2024

O objetivo do trabalho foi avaliar o recurso da quiropraxia na rotina veterinária, a fim de reconhecer os benefícios desta técnica no alinhamento corporal das articulações desalinhadas, de forma a preconizar uma nova técnica na literatura, auxiliando na melhor forma de tratar as enfermidades. Ao se abordar essa prática voltada para os equinos, podemos destacar a importância nos esportes equestres, que apresentam grande evolução na atualidade, com isso aumentando a recorrência de lesões na região musculoesquelética da coluna. Na medicina veterinária esta apresentação se refere a uma medicina alternativa que tem sido a cada momento mais utilizada na rotina, sendo definido como profissional quiropraxista com o objetivo de tratar as lesões, podendo oferecer um diagnóstico muitas vezes dificultoso por conta dos sinais não específicos, demonstrando a avaliação das anormalidades de andadura e sinais clínicos que indiquem dor, queda na performance. Ao final, podemos demonstrar que a prática desta técnica associada com a clínica, gera grande benefício ao paciente em tratamento.
NEW TECHNOLOGICAL POLICY AS A TOOL OF STRATEGIC PUBLIC ADMINISTRATION
Authors: Литвина К.Я.
Published: March 2024

Целью данной статьи является анализ новой технологической политики государства, изложенной в концепции технологического развития Российской Федерации до 2030 года, и ее влияния на социально-экономическое процессы. Реализация технологического приоритета в виде достижения технологического суверенитета требует проведения новой технологической политики в стране, самостоятельной по отношению к научно-технической и промышленной политике. В рамках исследования также рассматриваются и анализируются угрозы, которые могут повлиять на достижение целевых показателей технологического развития. Выделяются механизмы реализации целей технологического развития, наиболее значимые для достижения целей социально-экономического развития государства. По результатам исследования автором разработана матрица соответствия целей технологического развития, механизмов их реализации и получаемых эффектов. Для достижения цели исследования использовались общенаучные методы исследования, такие как анализ, индукция, дедукция, синтез, а также данные статистической отчетности.

The purpose of this article is to analyze the new technological policy of the state, set out in the concept of technological development of the Russian Federation until 2030, and its impact on socio-economic processes. The realization of technological priority in the form of achieving technological sovereignty requires the implementation of a new technological policy in the country, independent in relation to scientific, technical and industrial policy. The study also examines and analyzes threats that may affect the achievement of technological development targets. The mechanisms of implementation of the goals of technological development, the most important for achieving the goals of socio-economic development of the state, are highlighted. Based on the results of the research, the author has developed a matrix of compliance with the goals of technological development, the mechanisms of their implementation and the effects obtained. To achieve the research goal, general scientific research methods such as analysis, induction, deduction, synthesis, as well as statistical reporting data were used.
Utilizing Supervised Machine Learning for Stock Market Analysis
Authors:   Computer Science Engineering  Sanketika Vidya Parishad Engineering College, Visakhapatnam, India, T Venkata Sai Hareesh
Published: March 2024

The abstract describes an attempt to apply machine learning algorithms to predict future stock prices in the stock market. The paper aims to simplify the complexity of the stock market, which involves various entities such as small ownerships, brokerage corporations, and the banking sector. The motivation for using machine learning is to enhance predictability in this intricate business model.
Web Integrated Continuous Positive Airway Pressure System
Authors:   Dr. M.G.R Educational and Research Institute Maduravoyal, Chennai 600095, India, XR Adlen
Published: March 2024

Keywords: Continuous Positive Airway Pressure(CPAP) 1, Sleep Apnea 2, Neonatal 3, Respiratory Distress Syndrome (RDS) 4, Premature baby 5, Transpiration medical device 6, Internet of Things 7 CPAP, a non-invasive ventilation method crucial in neonatal care, has significant implications for the survival of very low birth weight preterm infants. However, its widespread adoption is hindered by cost constraints and the need for additional features like Apnea Hypopnea Index (AHI) monitoring. This study seeks to overcome these challenges by developing an affordable CPAP device for Neonatal Intensive Care Units (NICUs). By incorporating sensors for data collection and a microcontroller-based control system, this device aims to optimize CPAP function while minimizing energy consumption. Furthermore, the collected data will be securely stored on a cloud platform, potentially benefiting both neonatal care and sleep apnea management. Recognizing the vital role of sleep in human health, this innovation underscores the importance of restorative rest for physical and mental well-being. Highlights: · Web-integrated CPAP devices often come with remote monitoring capabilities. This allows healthcare providers to remotely monitor patients' CPAP usage data, including compliance and efficacy metrics, without requiring in-person visits. This feature facilitates better patient management and allows for timely intervention if issues arise. · These devices typically track and record various parameters such as usage hours, mask leaks, apnea-hypopnea index (AHI), and pressure settings. The data can be accessed by both patients and healthcare providers, providing insights into treatment progress and effectiveness over time. · Many web-integrated CPAP devices offer cloud connectivity, allowing users to sync their data to secure online platforms. This feature enables seamless access to CPAP usage data from multiple devices, such as smartphones, tablets, or computers, enhancing convenience and flexibility for users. · Some modern CPAP machines offer wireless connectivity options, such as Bluetooth or Wi-Fi, enabling users to connect their devices to compatible accessories or smartphone apps. This connectivity allows for features like remote control of device settings, automatic software updates, and integration with health tracking apps for a more comprehensive health management experience. · The integration of web-based CPAP platforms with telemedicine services allows for virtual consultations between patients and healthcare providers. This feature enhances access to care, particularly for patients in remote or underserved areas, and enables real-time adjustments to CPAP settings based on patient feedback and data analysis.
STOCK PRICE PREDICTION OF NIFTY 50
Authors:   Dept of Computer Science and Engineering, DR MGR EDUCATIONAL AND RESEARCH INSTITUTE,  Maduravoyal,Chennai-95, Tamil Nadu, India, R JAGAN
Published: March 2024

In this project a forecasting system is presented which can predict the change in stock market value of Nifty Fifty index using the historical data of various factors influencing the stock value. Traditional stock market prediction models only factor in the trends of the historical data of the targeted stock value which is then fed to a time series algorithm to get a forecast. Since the real-world stock market is constantly being influenced by various factors, it is not possible to take all those factors into account and make the forecast, let alone using the target stock by itself. So, the objective of this project is to analyse and use the trends in the factors that majorly influence Nifty Fifty index like international stock indices and commodities that affect the economy addon Recurrent Neural Networks (RNN) which has the architecture that can retain the past information and use it in the prediction along with the observations at the current time step. This will allow the predictions to be more accurate and make it possible to make a better decision when investing in the Nifty Fifty index.
Review Soft Switching Methods for Parameter Monitoring of AC Machine Drives
Authors:   Department of Electrcial Engineering Priyadarshini College of Engineering, Nagpur, India, D Sujit
Published: March 2024

Industrial applications continue to primarily use induction motors (AC Motor), and dependable performance depends on efficient monitoring and control of these motors' properties. There are several ways to accomplish this, and the focus of this project is on controlling and monitoring a single-phase induction engine. Important parameters of the induction motor, such as temperature, current, and voltage, are continually monitored by means of a module that is fitted with sensors and transducers. After being gathered, the data is sent to an information processing unit, which shows its parameters on a display. Through a LCD display gateway, the system integrates both automatic and human control techniques to start or stop the AC Motor, reducing the possibility of system failures. It is projected that this system's deployment will improve operational effectiveness by guaranteeing ongoing observation, averting problems, and encouraging preventative maintenance. Top of Form Keywords— Arduino Controller, LCD Display, Parameter Monitoring, AC motor, Parameter Controlling etc.
Instruction Level Parallelism and Memory Synchronization
Authors:   Budge Budge Institute of Technology, Sardar Rupam
Published: March 2024

The simultaneous or parallel execution of a series of instructions within a computer program is known as instruction-level parallelism, or ILP. ILP stands for the average number of instructions executed throughout each stage of this parallel execution, to be more precise. The architecture known as instruction level parallelism (ILP) allows for the execution of several operations in parallel within a single process, each with its own set of resources, including address space, registers, identifiers, state, and program counters. It describes compiler design strategies and processors intended to carry out operations in parallel to increase processor performance, such as memory load and store, integer addition, and float multiplication.
Stroke Data Analysis and Prediction
Authors:   Student, Department of MSc. IT,  Nagindas Khandwala College,  Mumbai, Maharashtra, India, Raza Chowdhary Hassan
Published: March 2024

This paper explores the impact of strokes on society and emphasizes collaborative efforts to enhance stroke management. By leveraging technology and medical records, caregivers gain insights into relevant risk factors for stroke prediction. This paper systematically examines various components in electronic health records for effective stroke forecasting. Employing diverse statistical methods and principal component analysis, we identify the most significant factors for stroke prediction. Using statistical methods and principal component analysis, we identify age, heart disease, average glucose level, and hypertension as crucial factors. Our findings indicate that age, heart disease, average glucose level, and hypertension emerge as the most critical factors for detecting stroke in patients. Furthermore, a perceptron neural network utilizing these attributes achieves superior accuracy and lower miss rates compared to other methods on a balanced dataset. Keywords: Age, heart disease, glucose level, hypertension.
SECURED ORGANIZATIONAL CLOUD STORAGE USING MESSAGE DIGEST ALGORITHM
Authors:   B.Tech CSE Student, Dept of Computer Science and Engineering, DR MGR Educational And  Research Institute, MADURAVAYOL, CHENNAI-95, TAMIL NADU, INDIA, M HARISH.
Published: March 2024

The Secure Organizational Cloud Storage System is an advanced cloud storage platform designed specifically for organizations that prioritize data security. The platform provides a similar functionality to Google Drive, but with enhanced security features to ensure that sensitive information remains safe from cyber threats. With the Secure Organizational Cloud Storage System, organizations can store and manage their data in a centralized and secure location. Users can easily upload, share, and collaborate on files and documents, and can access them farom anywhere with an internet connection. Secure cloud storage is indispensable in today's data-driven world, providing the convenience of remote data access while mitigating the risks associated with cyber threats and data breaches. By implementing advanced encryption, access controls, data integrity checks and redundancy strategies, secure cloud storage systems offer a comprehensive solution to protect sensitive information in an increasingly interconnected digital ecosystem. This abstract serves as a concise introduction to the importance and key components of secure cloud storage. Cloud service and storage providers offer valuable IT solutions for businesses of all sizes. Originally thought of as more for personal use, cloud storage for business is following in the footsteps of many personal technologies adapted for business purposes. Cloud storage works by storing data on remote servers, where it can be maintained, managed, backed up and accessed remotely. Data stored in the cloud is accessible by any device at any time, as long as permissions are in place. Despite its accessibility, data stored via the cloud is extremely safe and secure. Many people reap the benefits of the cloud for personal reasons, but most businesses have yet to take the leap. Whether your current on-premises data storage seems sufficient, or you simply haven’t taken time to consider cloud storage, reviewing these advantages is a good place to start.
THE INFLUENCE OF WORK ENVIRONMENT AND WORK MOTIVATION ON EMPLOYEE PERFORMANCE AT UPT OFFICE. SAMSAT BULUKUMBA
Authors: Adelia Haera , Nurman  , Idris Abdi Akbar , Musa Chalid Imran , Haeruddin M. Ikhwan Maulana
Published: March 2024

This study aimed to examine the impact of work environment and work motivation on employee performance at the UPT office, Samsat Bulukumba. The sample population comprised 28 employees from the UPT office, and a saturated sampling method was employed for this quantitative research. Primary and secondary data were collected using a questionnaire distribution technique. The data were analyzed using SPSS 21. The findings indicated a positive relationship between the work environment (X1) and employee performance (Y), with a coefficient value of 0.396 (>2.059) and a significant value of 0.005 (<0.05). However, the work motivation (X2) exhibited a negative effect on employee performance (Y), with a coefficient value of -0.070 (<2.059) and a non-significant value of 0.559 (>0.05). The coefficient of determination revealed that the variables of work environment and work motivation accounted for 29.9% of the influence on employee performance, while the remaining percentage was attributed to other variables beyond the scope of this study.
ANALYSIS OF COST CALCULATION IN THE CONSTRUCTION PROJECT OF KAPAS – GLENDENG 8 BRIDGE IN BOJONEGORO DISTRICT DUE TO TIME ACCELERATION USING THE CRASHING METHOD WITH ALTERNATIVE ADDITION OF WORKING HOURS
Authors: Ariyanto Subkhan , Tjendani Hanie Teki , Witjaksana Budi
Published: March 2024

Infrastructure development plays a very important role as capital in efforts to stimulate increased economic productivity, both at the national and regional levels, as well as reducing unemployment, alleviating people from poverty and of course improving the standard of living of the community at large. Delays in completing a project are a problem that often arises and can have an impact on the entire work, especially with time delays resulting in increased costs which can be detrimental to many parties. This delay also occurred in the Kapas-Glendeng 8 bridge construction project, Bojonegoro Regency. In anticipation of these delays, it is necessary to accelerate time and costs. In this research the author uses the crashing method with the alternative of increasing working hours. The crashing method is a way of estimating cost variables to determine the maximum and most economical reduction in the duration of an activity that is still possible to reduce.  The research results showed that the total time and cost of the project required after crashing was 174 calendar days with a cost under accelerated conditions of Rp. 2,555,189,555.98 with a difference of 6 calendar days from the normal duration of 180 calendar days and a fee under normal conditions of Rp. 2,548,581,990.63.
ANALYSIS OF INVESTMENT SENDITIVITY IN TAMAN MELATI DINOYO APARTMENT, MALANG CITY
Authors: Classinta ARD Bella Astrina , Muhammadun Haris , Nugroho Laksono Djoko
Published: March 2024

This research investigates the investment potential of Taman Melati Dinoyo Apartment in Malang City, focusing on economic and property market analysis. This research identifies the main factors affecting apartment investment, including property prices, construction costs, occupancy rates, and interest rates. Through a comprehensive literature review and primary data collection through interviews, the research provides insights for property developers, highlighting potential risks and effective mitigation strategies. The proposed investment structure involves a 30% equity and 70% borrowing ratio. Analysis methods such as NPV, IRR, BCR, and Payback Period are used for financial assessment. The Taman Melati Dinoyo Apartment Project in Malang City is financially feasible, with a NJOP value of Rp. 418,462,580,000. The NPV value is positive at Rp. 55,585,691,096, although the IRR is slightly below MARR at -8.99%. The BCR is 0.7997, indicating the project is less than 1, and the payback period is reached in the second year at IDR 186,959,656. Sensitivity analysis showed feasibility even with an increase in investment by 38% and a decrease in revenue by 20%
RESOLUTION OF DISPUTES REGARDING CORPORATE BONDS DECLARED BANKRUPT BY COMMERCIAL COURT
Authors: Rafie Patih Ahmad , Merta M. Martindo , Junaidi Junaidi
Published: March 2024

The objective of this study is to examine the resolution process for corporate bonds that have been declared bankrupt by the commercial court. This research adopts a normative legal approach, which involves analyzing the law as a comprehensive system comprising legal principles, norms, and rules. The findings of this analysis reveal that the Law of the Republic of Indonesia Number 8 of 1995, which pertains to the capital market, encompasses provisions on bonds. Additionally, article 1 number 3 of the finance ministerial regulation Number 27 of 2020 specifically regulates government securities (SUN) that qualify as bonds. These bonds have a maturity period exceeding one year and are accompanied by coupon payments and limited interest installments (discounts). Bonds can be interpreted as a form of liability protection offered by bond issuers to investors, along with an agreement to repay the principal amount and premium coupons at a predetermined time. Notably, in the case of a company or issuer being declared bankrupt, it is crucial to examine the settlement system for these bonds.
EFFECT OF WORK-LIFE BALANCE AND EMOTIONAL INTELLIGENCE ON EMPLOYEE PERFORMANCE
Authors: Matakena Selli , Mardhiyah Ainun , Siregar Onan Marakali
Published: March 2024

This study examines the influence of work-life balance and emotional intelligence on employee performance within PT State Savings Bank's Medan Branch Office Consumer Collection Recovery and Asset Sales Unit Division, employing a quantitative research approach. The 61 employees in this division serve as the study's population, selected using a nonprobability sampling technique with a saturated sample model. Data collection involves primary methods like observation, interviews, and questionnaires, supplemented by secondary data gathered through library research. Through a series of analytical procedures, including validity and reliability tests, classic assumption tests, multiple linear analysis, and hypothesis testing, the research reveals that both work-life balance and emotional intelligence have significant individual effects on employee performance. Furthermore, when considered collectively, these variables exhibit a substantial influence on employee performance, as indicated by an R value of 0.885 or 88.5%. The adjusted R Square value shows that work-life balance and emotional intelligence can account for 77.6% of the variance in employee performance, while the remaining 22.4% is influenced by unexamined factors.
THE INFLUENCE OF CONFORMITY CONSUMPTION BEHAVIOR AND PRODUCT ATTRIBUTES ON THE DECISION TO PURCHASE SKINCARE PRODUCTS
Authors: Simanjuntak Eva Yohana , Marpaung Nicholas
Published: March 2024

This study aims (1) to determine the effect of Conformity Consumption Behavior on purchasing decisions for skin care products, (2) to ascertain the impact of Product Attributes on the purchasing decisions of skin care products, and (3) to examine the combined influence of Conformity Consumption Behavior and Product Attributes on purchasing decisions for skin care products. The research employs a quantitative method. The results of this study yield a multiple linear regression equation: Y = 6.453 + 0.172 X1 + 0.647 X2. Partially, Conformity Consumption Behavior demonstrates a positive and significant effect, as evidenced by a t-value value of 2.571, exceeding the t-table value of 1.1985. Similarly, Product Attributes exhibit a positive and significant effect, with a t-value of 8.830 surpassing the t-table value of 1.985. Simultaneously, the combined impact of Conformity Consumption Behavior and Product Attributes on the decision to purchase skin care products is demonstrated by an F-value of 77.803, surpassing the F-table value of 3.09. Notably, the variable with the most dominant influence in this study is Product Attributes, with a value of 8.830.
THE INFLUENCE OF COMPETENCE AND REWARD PROVISION ON EMPLOYEE PERFORMANCE EFFECTIVENESS
Authors: Sihite Fernando , Marpaung Nicholas
Published: March 2024

Employee performance is very necessary in working within the company, the importance of an employee's performance can affect the results of the work he does and also affect the goals of the company to be achieved. This study aims to analyze the effect of competence and rewards on the effectiveness of employee performance. The form of research used in this research is quantitative research with an approach. The research method used in this research is a quantitative research method with an association approach, the population in this study are PTPN III Medan HR employees with a total of 35 respondents, The primary data used was obtained by distributing questionnaires directly while the secondary data was obtained through a literature study. The data analysis method used is instrument test, classical assumption test, multiple linear regression analysis, and hypothesis testing. The results showed that competency and reward had an effect on Employee Performance Effectiveness and the results of hypothesis testing simultaneously, obtained correlation coefficient values (R) of .888, which means that there is a relationship between Competency and Reward variables on Performance Effectiveness of 88.8% so that the relationship between these variables can be categorized as very close. While the Adjusted R Square value is .775 or the value of the determinant coefficient shows that the Competency and Reward variables on Performance Effectiveness are 77.5%, while the remaining 22.5% is influenced by other factors in outside of this research.
THE INFLUENCE OF COMPENSATION, MOTIVATION, AND WORK DISCIPLINE ON EMPLOYEE PERFORMANCE AT SOHO SUHRAH BAKERY MAKASSAR
Authors: Safitri Eva
Published: March 2024

Human resources play a crucial role in organizations as they directly impact employee performance and the achievement of organizational goals. Improving employee performance can be achieved through various factors such as compensation, motivation, and work discipline. This research aims to examine the individual and combined effects of compensation, work motivation, and work discipline on employee performance at Soho Suhra Bakery Makassar. The research adopts an associative quantitative method, with a population size of 30 employees. The analysis utilizes multiple linear regression techniques. The results of the T-test indicate that the compensation variable (X1), work motivation (X2), and work discipline (X3) significantly influence employee performance (Y). The t-statistic value for the compensation variable (X1) is 5.559, which is greater than the t-table value of 2.055. Conversely, the t-statistic value for work motivation (X2) is -1.461, which is less than the t-table value of 2.055, and the t-statistic value for work discipline (X3) is 0.443, also less than the t-table value of 2.055. The F-test reveals an F-statistic value of 15.303, which is greater than the F-table value of 2.99, with a significance level of 0.000. This research also demonstrates that compensation variables (X1), work motivation (X2), and work discipline (X3) influence employee performance (Y) at Soho Suhra Bakery Makassar simultaneously.
THE INFLUENCE OF MARKETING STRATEGIES AND CUSTOMER TRUST ON THE LOYALTY OF SAVINGS CUSTOMERS AT PT BPR SWADAYA ANAK NAGARI (SAN)
Authors: Yuliza Mai , Erdawati Erdawati , Septiani Nadya
Published: March 2024

This study aims to determine the effect of Marketing Strategy and Trust on Savings Customer Loyalty at PT BPR Swadaya Anak Nagari (SAN). The population in this study were all savings customers of PT BPR Swadaya Anak Nagari (SAN) with a sample size of 100 people. The sampling technique uses non probability sampling, which does not provide the same opportunity or opportunity to each member of the population when selected as a sample member. This research is associative. The results of this study can be explained where the Marketing Strategy variable has a positive and significant effect on the Loyalty of PT BPR Swadaya Anak Nagari (SAN) savings customers with a regression coefficient of 0.554 with a significant value of 0.000 (<0.05). The Trust variable has a positive and significant effect on the Savings Customer Loyalty of PT BPR Swadaya Anak Nagari (SAN) with a regression coefficient of 0.446 with a significant value of 0.004 (<0.05). While the test results simultaneously have a positive and significant effect on the loyalty of PT BPR Swadaya Anak Nagari (SAN) savings customers with a regression coefficient of 23.568 with a significant value of 0.000 (<0.05). For the test the coefficient of determination gives a contribution of 89.3%. And the remaining 10.7% is influenced by other variables not included in this test.
ENTREPRENEURIAL E-COMMERCE MARKETING TO IMPROVE THE PERFORMANCE OF MICRO, SMALL, AND MEDIUM ENTERPRISES (MSMES) IN BANDAR LAMPUNG CITY
Authors: Shakpuytri Komang Yunita , Rahayu Ni Putu Widhia
Published: March 2024

In Bandar Lampung, approximately 18% of MSMEs have not embraced e-commerce, despite its growing popularity and convenience. Limited access to technology and the internet, lack of digital literacy, concerns about security and trust, and traditional business practices are all factors contributing to this low adoption rate. This research aims to empirically investigate how digital marketing affects intellectual capital, perceived quality, and overall performance of MSMEs. Additionally, it explores the impact of MSMEs' intellectual capital and perceived quality on their performance. Employing a quantitative approach with descriptive analysis, this study targets MSME actors in Bandar Lampung. The sampling strategy involves multi-stage cluster purposive sampling, selecting 366 respondents for data collection through an online questionnaire using Likert scales. The analysis is conducted using Smart PLS, and the results reveal that digital marketing significantly and positively influences intellectual capital, perceived quality, and overall performance of MSMEs. Furthermore, both intellectual capital and quality perception show a positive and significant influence on MSME performance.
Point of care ultrasonography as the new “Laennec Sthetoscope”
Authors: Sabath Ernesto
Published: March 2024

Point of care ultrasonography (POCUS) has evolved to become the fifth pillar of the conventional physical examination, and use of POCUS protocols have significantly decreased procedure complications and time to diagnose. However, lack of experience in POCUS by preceptors in medical schools and nephrology residency programs are significant barriers to implement a broader use. In rural and low-income areas POCUS may have a transformative effect on health care management.
Pesan Dakwah KH. Abdul Ghofur Tema Hakekat Aqiqah di Youtube Tim Creative PERSADA TV Pondok Pesantren Sunan Drajat Lamongan
Authors: Ainur Rofiq  , Moh. Maftuhin
Published: March 2024

Aqiqah merupakan upacara keagamaan yang sangat memasyarakat di kalangan umat Islam, upacara penyembelihan hewan berupa kambing pada hari tujuh dari kelahiran sang bayi. Sebagai bagian dari keyakinan hidup masyarakat muslim, tentunya upacara aqiqah bukan sekedar diadakan, melainkan telah mereka yakini sebagai ajaran yang telah dicontohkan oleh Rasulullah SAW. Hakikat Aqiqah adalah untuk menebus bayi yang telah dilahirkan Aqiqah dalam istilah agama adalah penebusan untuk anak-anak yang baru lahir sebagai bentuk rasa terima kasih kepada Allah SWT, dengan niat dan ketentuan tertentu. Hakikat Aqiqah adalah untuk menebus bayi yang telah dilahirkan Aqiqah dalam istilah agama adalah penebusan untuk anak-anak yang baru lahir sebagai bentuk rasa terima kasih kepada Allah SWT, dengan niat dan ketentuan tertentu. sebagian ulama disebut dengan nasikah atau dzabihah (sembelihan). Beberapa orang menyebutkan bahwa aqiqah nama untuk hewan yang disembelih. Sedangkan aqiqah menurut KH. Abdul Ghofur aqiqah terdapat dua macam. Pertama Aqiqah Jasmani Kedua Aqiqah Rohani, Metode Penelitihan ini di lakukan dengan menggunakan studi melalui penyelidikan dengan hati-hati dan sempurna terhadap suatu masalah, sehingga diperoleh pemecahan yang tepat. Hal ini disampaikan melelui pesan dakwah KH. Abdul Ghofur tentang hakikat aqiqah di youtube Tim Creative Persada TV lamongan