bluuebunny/crossref_metadata_2025 huggingface dataset:
Rational Design of High-Performance Nanomaterials for Electric Vehicle Tires
Authors: Liu Zichen
Published: July 2023

In today's society, the market limitations of electric vehicle tires are relatively poor wear resistance and rolling resistance. These two problems restrict the further development of electric vehicles, accelerate energy consumption and environmental pollution, and bring hidden dangers to users. In this paper, the principle of tire wear resistance and the cause of excessive rolling resistance related to tire deformation are analyzed from the perspective of materials. At present, these two problems can be improved by adding nanomaterials to automobile tire materials (natural rubber and synthetic rubber). The tire's thermal conductivity and wear resistance can be improved by inserting Silica and a small amount of nano-diamond. This paper will also discuss the unique advantages of carbon black with different particle sizes as filler by analyzing the effects of modified Silica and carbon black on the molecular rubber chain. On this basis, this paper will also explain the drawbacks of nanofiller materials.
A model for identifying glass artifacts based on SOM clustering analysis and random forest algorithm
Authors: Ma Ji , Chen Qian , Li Haoxuan , Chen Yongqi , Lu Yuteng , Yang Hong
Published: July 2023

With the deepening of human awareness of heritage conservation today, the category identification of excavated glass artifacts is particularly important. This paper draws on data related to the chemical composition of some glass artifacts. The data were analyzed by Mann-Whitney U analysis, SOM cluster analysis, and random forest algorithm, and a model was developed to accurately identify the categories of glass artifacts based on their chemical composition. The results show that the three chemical components of potassium oxide, barium oxide, and lead oxide have the greatest influence on the weathering and corrosion of glass artifacts through Mann-Whitney U analysis; the SOM cluster analysis model shows that the glass artifacts with high potassium can be divided into two subclasses, and the glass artifacts with lead and barium can be divided into three subclasses. Finally, we combined the results of the existing analysis and used the random forest algorithm to establish a model for accurate identification of glass artifacts based on their chemical composition. The sensitivity test shows that the model has high robustness and accuracy. This method will play an important role in the accurate identification of glass artifacts of unknown categories in the future.
Research on The Classification Models of Ancient Chinese Glass Based on K-means Clustering Algorithm
Authors: Luo Peiwen , Xiong Xiaoyu , Zhuang Zhaochun
Published: July 2023

Ancient Chinese glass is mainly potassium glass and lead-barium glass. Based on the main chemical composition of potassium glass and lead-barium glass, a K-means clustering algorithm was used to establish classification coefficients to classify glass types at one level, with the classification condition being whether the classification coefficient ε was greater than 5/16, with greater than being potassium glass and less than being lead-barium glass. a clustering algorithm with a K value of 2 was then used to classify the same type of glass into subclasses, with potassium glass being classified as whether it contained Na2O and lead-barium glass being classified as the BaO content is greater than 20% and smaller.
Analysis of High Span Curved Net Frame Lifting
Authors: Xu Guangxing , Li Jianning , Meng Zhaohu , Han Guangzhao , Jian Jiang , Lei Wang , Wang Qianglong , Jing Pengchao , Ren Leping , Li Wenyang , Tian Xiaomin
Published: July 2023

A proposed dry coal shed grid plan size is 99m*140m, through the establishment of structural model, using Midas Gen finite element analysis software for structural verification and analysis, and finally determine the best construction plan.
Preface: 5th International Conference on Mechanical Automation and Materials Engineering (MAME 2023)
Authors: Sailsbury Shirley , Gao Heping
Published: July 2023

The 2023 5th International Conference on Mechanical Automation and Materials Engineering (MAME 2023) was successfully held from 10th to 11th of June, 2023 in Hohhot, China. This conference provides a forum for scholars, researchers, postgraduate students, and practitioners in the fields of mechanical engineering, automation, control technology, materials engineering, and manufacturing engineering to share ideas, designs, and experiments. Welcome participation from academia, industry and government.

The conference agenda will work as a competence platform, providing facilities for efficient communication to boost the mechanical science and materials engineering knowledge of young scientists and help them in their professional development. Young scientists will be given a unique chance not only to improve their presentation skills and public speaking abilities but to gain an experience of scientific publication.

The importance of MAME 2023 lies in the need to create conditions for the recognition growth of young scientists in world scientific circles and increase in interest in their work, increase in the level of scientific publications of students, postgraduate students and young scientists, and increase in their quality. The exchange of experience in the field of professional interests with colleagues from foreign and scientific organizations will improve the qualifications of researchers and establish promising scientific contacts among young scientists.

Scientific Committee of MAME Conference

Hohhot, China
PENGEMBANGAN MODUL MATA KULIAH PROFESI KEPENDIDIKAN BERBASIS CASE STUDY
Authors: Syahroni Mashud , Firmadani Fifit
Published: July 2023

Mata kuliah profesi kependidikan punya peran penting dalam mengembangkan kompetensi profesional mahasiswa calon guru. Pengembangan bahan ajar diperlukan agar mahasiswa mempunyai panduan dalam mempelajari materi profesi kependidikan. Pengembangan perlu dikombinasikan dengan metode pembelajaran berbasis kasus yang mengembangkan kemampuan berfikir. Tujuannya untuk meningkatkan pemahaman mahasiswa terhadap profesi guru. Penelitian ini merupakan penelitian pengembangan mengadaptasi model pengembangan 4D (define, design, develop, and disseminate) oleh Thiagarajan,dkk. Tahap pertama dilakukan pada tahap define yang meliputi analisis kebutuhan dan telaah silabus. Teknik pengumpulan data dengan angket dan wawancara. Subyek penelitian mahasiswa prodi pendidikan bahasa dan satra indonesia yang menempuh mata kuliah profesei kependidikan dan dosen kelompok bidang keahlian. Teknik analisis data yang digunakan adalah deskriptif kuantitatif. Hasil penelitian menunjukkan modul profesi kependidikan berbasis pembelajaran kasus layak untuk dikembangkan karena dapat menyelesaikan masalah mahasiswa dalam belajar yaitu tidak adanya bahan ajar yang memuat contoh kasus dan latihan soal.
ANALISIS PERAN GURU PENDIDIKAN AGAMA ISLAM DALAM MEMBENTUK KARAKTER RELIGIUS SISWA KELAS VII DI SEKOLAH MTS NEGERI 01 PAMULANG TANGERANG SELATAN: PENDEKATAN METODE LITERATURE STUDY AND REVIEW (LSR)
Authors: Rozak Abdul
Published: July 2023

This study uses the Literature Study and Review (LSR) method, which collects information related to the research topic from various literary sources. The results of the analysis show that Islamic religious education teachers have a very important role in shaping the religious character of class VII students at MTS Negeri 01 Pamulang. Teachers are responsible for providing appropriate religious lessons, guiding students in worship and improving attitudes and behavior in accordance with Islamic teachings. Through interactive, inspirational and contextual learning, teachers can inspire students to develop a deep understanding of religious values, practice Islamic teachings in everyday life, and form strong religious personalities. Teachers should set good examples and role models for students in practicing religious values ​​in everyday life. In addition, cooperation between teachers, parents and schools is needed to create an environment that supports the formation of students' religious character. Future research may include collecting primary data such as observation, interviews or questionnaires to gain a deeper understanding of the role of Islamic religious teachers in shaping students' religious character.
Fermented soybean meal in broiler diets exposed to stress induced by corticosterone: Effect on growth performance, gut health and immune response
Authors: ABEDDARGAHI Fakhreddin , DARMANI-KUHI Hassan , ROOSTAIE-ALIMEHR Mohammad , HOSSEINI-MOGHADDAM Seyed H. , HASSAN-SAJEDI Reza , HOSSEINI Anahid , MOHAMMADPOUR Fatemeh
Published: July 2023

Aim of study: To investigate the effect of fermented soybean meal (FSBM) on responses of broiler chickens exposed to stress condition.
Material and methods: Two hundred and eighty-eight day-old male chickens were allocated to six treatments in a 2 × 3 completely randomized factorial design involving two factors: factor 1 was the subcutaneous injections of CORT or corn oil (as control) at 2 mg/kg body weight twice per day during 3 days; and factor 2 were 3 levels (0, 10 and 20%) of FSBM in replacement of the original soybean meal.
Main results: The replacement of soybean meal by FSBM increased FI and BWG without any significant effect on FCR (10 days), while FCR was increased significantly by CORT injection. Corticosterone injection caused a significant decrease in the ratio of villus height (VH) to crypt depth (CD) in the duodenum and jejunum. The height of villi in the duodenum increased significantly at 20% FSBM replacement. The antibody titers against Newcastle disease (28 and 2 day), coliform count (28 day) and activity of digestive enzymes (10 day) were not affected by either FSBM replacement or CORT injections. Corticosterone injection significantly increased tall-like receptor-4 (TLR4) and immunoglobulin A (IgA) expression, while decreased heat shock protein-70 (HSP70) expression. FSBM replacement down-regulated the expression of TLR4, HSP70, and IgA in small intestine compared to the control group. In stress condition induced by CORT injection, 10% FSBM replacement decreased HSP70 and IgA expression in the jejunum and ileum, while had no effects on TLR4.
Research highlights: Partial replacement of soybean meal by FSBM in diets had positive effects on performance, intestinal morphology and immune response in chicks exposed to stress.
Sentiment Prediction by a Classifier
Authors: Ren Yunfei
Published: July 2023

In real life, there is far more unprocessed data than labeled data, which brings a large amount of data that cannot be directly used for machine learning training. Based on the tweet dataset processed by Natural Language Processing (NLP), this paper uses a variety of machine learning models for training and comparison. Moreover, different performances are analyzed and discussed. Since labeled datasets are difficult to obtain, the use of supervised learning will be limited. However, the number of unlabeled datasets is very large, which can provide a continuous training set for machine learning. This paper conducted a comparative experiment on the effect of semi-supervised learning and obtained better results than supervised learning and unsupervised learning. The experiments in this paper prove that semi-supervised learning can effectively use unlabeled data and train machine learning models.
A Critical Review on CT Image denoising in Wavelet domain
Authors: Diwakar Manoj , Singh Prabhishek , Shankar Achyut , E. Sathishkumar V. , Joshi Kapil , Kumar Mohit
Published: July 2023

Medical images are commonly used today by medical practitioners for the purposes of diagnosis. For the purposes of diagnosis, diagnostic images are widely used today by medical professionals. In general, MRI works on soft tissues, and CT works on hard tissues. Due to device and hardware limitations, mathematical calculations, transition mechanisms in computers, there are chances of creating noise in medical images.In yhis paper, a critical review on CT image denoising has been performed in wavelet domain. In the transform domain, the process of removing noise from an image starts with the image or data being divided up into a representation in scale space. It has methods for setting thresholds, rules for shrinking, and a way to clean up noise based on wavelets, among other things.
Wireless Sensor Network-based Monitoring System for Health Structure of Rail-tracks: An Efficient Design for Communication
Authors: Singh Prabhishek , Maurya Ankur , Shankar Achyut , E Sathishkumar V , Diwakar Manoj
Published: July 2023

The paper introduces a monitoring system for the health structure of rail-tracks. The slab track system is highly demanded due to its quality for safety measures and highly sustainable quality for high-speed railway infrastructure, particularly in India for the Bullet-train project. Previously, the system used to monitor the health of slab-tracks was costly and not done regularly, but the evolution of digitalization and wireless sensor networks is doing tremendous work for monitoring the health of infrastructure and other activities. In rail-track systems, wireless sensors can provide us with information, detection, and prediction of the health-infrastructure of rail-tracks. An efficient design for communication systems is needed for such safety-critical railway tracks. The paper proposes an accurate and efficient design for communication.
Overview of Research of Machine Learning in Air Traffic Management
Authors: Cai Zihao
Published: July 2023

As the demand for air traffic has grown at a fast pace in recent years, the efficiency and safety of air traffic management is facing greater challenges with limited airspace resources. As an important part of the civil aviation air traffic system, the existing air traffic management capability is no longer able to meet the demand of air traffic growth. Machine learning, as an advanced method of current computer modelling, has shown good application value and promise for application in air traffic management. This paper starts by introducing the application methods and modelling process for machine learning in air traffic management, followed by the current research status of machine learning in three areas, namely air traffic flow management, air traffic services and airspace management, respectively, and finally points out the challenges and further development outlook of applying machine learning to air traffic management. Overall, the introduction of machine learning into air traffic management represents a major trend with significant implications for its development.
Summary of Deep Neural Network Pruning Algorithms
Authors: Ling Xing
Published: July 2023

As deep learning has rapidly progressed in the 21st century, artificial neural networks have been continuously enhanced with deeper structures and larger parameter sets to tackle increasingly complex problems. However, this development also brings about the drawbacks of high computational and storage costs, which limit the application of neural networks in some practical scenarios. As a result, in recent years, more researchers have suggested and implemented network pruning techniques to decrease neural networks' computational and storage expenses while retaining the same level of accuracy. This paper reviews the research progress of network pruning techniques and categorizes them into unstructured and structured pruning. Finally, the shortcomings of current pruning techniques and possible future development directions are pointed out.
The Study of Transfer Learning Effectiveness on Medical Brain Tumor Images
Authors: Bi Yizhou
Published: July 2023

The segmentation of brain tumor is an important and challenging issue in the last decade. This study explores the use of transfer learning in medical image segmentation, specifically in the segmentation of lower-grade gliomas in brain Magnetic Resonance Imaging (MRI) scans. The LGG segmentation dataset, sourced from The Cancer Imaging Archive, was utilized for the study. Common data augmentation techniques were applied, such as vertical and horizontal flipping and image scaling, to better simulate real-world scenarios. Transfer learning was used with three widely-used Convolutional Neural Network (CNN) models (i.e. MobileNet, ResNet, and VGG) to establish three groups for each model, with each group consisting of a model that inherits weights and one that does not. The effectiveness of transfer learning was evaluated by training each model until it reaches steady-state, with models that inherit weights undergoing fine-tuning. The Dice coefficient was used as the loss function for the network. The study focused on the accuracy of the model in terms of true positive and true negative. The results showed that transfer learning with weight inheritance generally outperforms transfer learning without weight inheritance, with the VGG model exhibiting the highest accuracy. Overall, the study demonstrates the potential of transfer learning for medical image segmentation tasks, particularly in the context of brain tumor segmentation.
Thompson -Greedy Algorithm: An Improvement to the Regret of Thompson Sampling and -Greedy on Multi-Armed Bandit Problems
Authors: Yu Junpu
Published: July 2023

The multi-armed bandit problem is one of the most classic reinforcement learning problems, aiming to find balanced decisions of exploration and exploitation and to increase the total reward of the actions from each round. To solve multi-armed bandit problems, algorithms were designed, including some of the most typical and widely used ones, like the Explore-Then-Commit algorithm, Upper Confidence Bound algorithm, Epsilon-Greedy algorithm, and Thompson Sampling algorithm. Some of them are improvements upon others, while all of them seek to increase total reward but contain specific weaknesses. Epsilon-Greedy algorithm, as a simple method to balance exploration and exploitation of multi-armed bandit problems, has the disadvantage of still picking non-optimal actions even if it appears to be non-optimal for a very long time. Thompson Sampling algorithm, though performing well in many scenarios, costs a significantly long time to update its prior distribution each round and tends to explore too much in initial tries when the real distribution of reward is scattered. To further fix their weaknesses and improve their performance, this paper proposed a newly designed algorithm, Thompson -Greedy (TEG), which seeks to utilize the advantages of both algorithms to complement each others disadvantages. The TEG algorithm is not only proved to perform better than -Greedy in most cases, but also turned out to be more adaptive in environments with true reward distributions that weaken Thompson Sampling Algorithm. Beyond the comparison of regrets, the paper further analyzed the time cost of applying TEG with those two existing methods and their best arm selection rates to illustrate the significance of the TEG algorithm.
Review of Generative Models
Authors: Wang Ruixi
Published: July 2023

The advancement of generative AI models has been remarkable since 2022. Several visually appealing generative AI models have been introduced to the public, including those for text and image generation. Despite being generated by large-scale neural networks and deep learning algorithms through extensive training, generative models are capable of achieving average or above-average quality and creativity in many fields, such as painting and literature. This paper will examine some of the AI models currently available, delve into their underlying principles and histories, and provide insight into what the future may hold. With the advancement of technology, we can expect to see even more innovative and creative applications in the future.
Enhancing Face Recognition Accuracy Using Data Pre-processing Method and YOLO
Authors: Liu Yuhan
Published: July 2023

The recognition of objects is an essential aspect of visual perception and finds extensive usage in diverse fields such as self-driving vehicles, security, robotics, and image retrieval. In this study, we investigate the performance of the YOLOv5 (You Only Look Once) algorithm for object detection on the VOC2007 dataset. The YOLOv5 model achieved a moderate overall accuracy and precision, demonstrating its potential for object detection tasks. However, the performance varied across different categories, with lower accuracy observed for less frequent categories and difficulties in distinguishing between closely related categories. We identify potential improvements to the YOLOv5 model's performance, including class balancing using weighted sampling and data augmentation, which may help the model to better learn to detect objects from under-represented categories and improve its ability to distinguish between similar objects. The results of our study imply that the YOLO algorithm has potential for object detection and classification projects in computer vision, however further study and refinement are necessary to broaden its efficacy across a greater variety of object classes and real-world scenarios.
Facial Expression Recognition Model Based on CNN and Data Augmentation Method
Authors: Deng Zhewei
Published: July 2023

Face expressions are essential in expressing human emotions, and it is accomplished by separating features and categorizing them. Facial expression recognition technology has been widely employed in human-computer interaction, telemedicine, mental health, and criminal investigation detection. In recent years, significant advances in deep learning have facilitated the development of facial expression recognition, making it increasingly accessible. Convolutional neural networks (CNN) are the foundation of the face expression recognition model presented in this article. In order to maximize the final accuracy, an abundance of sample photographs are required for training and optimization. As a result, the 35,886 facial expression photos from the FER2013 dataset, which contains all seven emotions, were used for both training and testing. The photos were scaled down to 4848 pixels during data preparation, and data augmentation was carried out. To get accurate face expression recognition results, various optimizers and parameters were chosen for the training network, which was a bespoke structure based on the VGG network design. The model constructed in this study achieved an accuracy of 73.16% during prediction.
Variação Linguística no Livro Didático do 1º ano do Novo Ensino Médio: na perspectiva da BNCC
Authors: Costa Catarina de Sena Sirqueira Mendes da , Dantas Jacqueline Wanderley Marques , Carvalho Margareth Valdivino da Luz , Araújo Roberta Shirleyjany de
Published: July 2023

Apresentamos neste estudo um olhar acerca do ensino de Língua Portuguesa (LP) sob a luz dos pressupostos da Sociolinguística. Para tanto, a nossa pesquisa envolve uma análise sobre os conteúdos propostos no livro didático do 1º ano do Novo Ensino Médio, de modo a suscitar reflexões em torno da consonância destes com as orientações enfatizadas em documentos de regulação curricular, a exemplo da Base Nacional Comum Curricular (BNCC). A escolha pelo material do primeiro ciclo dessa etapa da educação básica tem como justificativa o início da vigência do Novo Ensino Médio no corrente ano (2022), com a intenção de analisar se houve uma ampliação da abordagem sobre os tópicos de variação linguística apresentados nas duas coleções selecionadas. Desse modo, o aporte teórico desse conta com vozes de estudiosos como: Labov (2008), Mollica (2004), Bagno (2013), entre outros. Em termos metodológicos, o trabalho compreende uma abordagem qualitativa do tipo documental. Os resultados apontam seções do livro didático com conteúdos teóricos, ainda, limitados, assim como o escasso desenvolvimento das questões postas enquanto atividades.
Navegar, explorar, cartografar: é possível que os perfis de leitura do Instagram afectem os leitores?
Authors: Pereira Thayra Fernandes , Mendes Leila de Carvalho
Published: July 2023

Este artigo apresenta os resultados de uma pesquisa que surge a partir do desejo de investigar se e como os perfis de leitura do Instagram podem afectar seus leitores e produzir brechas em suas subjetividades. Na sociedade atual, imersa em tecnologia e urdida na lógica da produtividade e da cultura de massa, observamos o bombardeamento de informações e a aceleração de práticas cotidianas, como a massificação de notícias, que contribuem para a fragmentação das narrativas e a predominância de apenas um sentido: o hegemônico. Logo, o objetivo do artigo consiste em apresentar os resultados dessa pesquisa que utilizou a cartografia (1996), como metodologia investigativa, para cartografar 75 páginas de leitura. O referencial teórico adotado apoia-se na Filosofia da Diferença de Gilles Deleuze e Félix Guattari (1996, 1992, 1997).
“Feijões milagrosos”: uma análise semiolinguística da comercialização da fé
Authors: Silva Thiago Costa da , Silva Patrick Neves de Paula da , Giesel Cláudia Cristina Mendes
Published: July 2023

O prelúdio pandêmico trouxe aflições físicas e mentais para o mundo e, em específico, para o nosso país. A falta de conhecimento acerca do vírus, devido a poucas informações acadêmicas sob a ação da pandemia do coronavírus, propiciou uma situação que repercutiu negativamente no mês de maio de 2020, em que o mundo ainda estava buscando por soluções cientificamente comprovadas. O pastor Valdemiro Santiago, em posição de autoridade religiosa, promoveu a venda de feijões que, potencialmente, possuíam o poder de proteger os fiéis e seus familiares por meio da prática da semeadura. Nesse sentido, temos por objetivo identificar, no discurso proferido pelo pastor, possíveis efeitos para a captação do telespectador, intencionando promover a venda do produto divulgado, por meio de recursos linguístico-discursivos. Para isso, recorreremos à Teoria Semiolinguística do Discurso proposta por Charaudeau (2019, 2018, 2017). Por meio dessa fundamentação teórica e metodológica, é possível compreender que todo ato de linguagem produzido por um sujeito social visa à produção de efeitos previstos no interlocutor. Esta pesquisa possui como contribuição social realizar uma análise necessária que almeja demonstrar como o discurso religioso pode ser utilizado também como uma forma indutiva, ao transvestir um saber de crença como um saber de conhecimento.
MODEL PEMBELAJARAN KOOPERATIF DALAM MENUMBUHKAN KEAKTIFAN BELAJAR SISWA
Authors: Hasanah Zuriatun , Himami Ahmad Shofiyul
Published: July 2023

Cooperative learning provides opportunities for students to study with fellow students in structured assignments. Through cooperative learning as well, a student will become a learning resource for his other friends. So cooperative learning is developed on the basis of the assumption that the learning process will be more meaningful if students can teach each other. Although in cooperative learning students can learn from two main learning sources, namely teaching and other study partners. cooperative learning can make students interact between students to share their knowledge in solving a problem presented by the teacher so that all students will more easily understand various concepts, create an atmosphere of acceptance towards fellow students with different backgrounds, for example ethnic, social, cultural, and ability. This provides equal opportunities to all learners regardless of background and creates conditions for cooperation and positive interdependence with each other in completing tasks. Teaches collaboration or collaboration skills in solving problems. These skills are very important for students as a provision for living in society. In addition, students learn to respect each other.
THE ROLE OF WOMEN'S COFFEE COOPERATIVES (KOKOWA) TOWARD THE WELFARE OF COFFEE FARMERS IN BUKIT DISTRICT, BENER MERIAH REGENCY
Authors: Tambarta Emmia , Hafni Zahara  , Ade Firmansyah Tanjung  , Erika Safira  , Tri Arini Utami
Published: July 2023

The existence of cooperatives in coffee production, centers is expected to support and help the economy of coffee farmers. One of the best coffee producing areas in Indonesia is Aceh Province, this is proven because coffee produced in Aceh has been exported to various countries such as Europe. America and countries in Asia. Aceh coffee which is better known internationally is the type of Gayo Arabica coffee because it has a distinctive aroma and taste. (Tambarta, 2016) The name Gayo Arabica coffee arises because the best-tasting Arabica coffee comes from the Gayo highlands, namely Central Aceh and Bener Meriah districts.

This research uses descriptive quantitative research methods. Quantitative descriptive is a method that describes the research topic with variables that can be measured quantitatively (Sugiyono, 2011). The research was conducted at the Women's Coffee Cooperative (KOKOWA) Bener Meriah Regency. This location was determined intentionally or purposively because the KOKOWA Cooperative is the only cooperative whose members are all housewives and coffee farmers (having dual roles). The method used in analyzing the data is descriptive qualitative analysis using a Likert scale instrument, which describes several question items arranged in a questionnaire and each question is given a score equal to the respondent's choice. Likert scale is a scale used to measure attitudes, opinions and perceptions of a group of people about social events or phenomena. This research produces TKT 1 with output targets in the form of (1) scientific publications in international research journals with accepted status, (2) HKI research reports with granted status, (3) publication of activities in print or online media.
ANALYSIS OF SERVICE QUALITY IN AN EFFORT TO IMPROVE MEMBER SATISFACTION (CASE STUDY ON PT.PIM SHARIA EMPLOYEE COOPERATIVES)
Authors: Amelia Amelia , Fadhillah Indah , Pangestika Ratri , Charunnisa Zihan , Nur Ilham Rico
Published: July 2023

In a cooperative, satisfactory service is the most important thing that needs to be considered for cooperatives to satisfy their customers or customers. Product and service services must be carried out properly and correctly so that they get sympathy and are attractive to the community of prospective customers concerned. If the service is carried out properly and correctly, the marketing of products and services is expected to be successful as well. Service is an activity or series of activities that are invisible (cannot be touched) that occur as a result of interactions between consumers and employees, or other things provided by service delivery companies that are intended to solve problems or customers. This research uses a qualitative research approach. where qualitative research as a scientific method is often used and carried out by a group of researchers in the field of social sciences, including education. A number of reasons were also put forward, which in essence is that qualitative research enriches the results of quantitative research. Qualitative research is conducted to build knowledge through understanding and discovery. Qualitative research approach is a process of research and understanding based on methods that investigate social phenomenon and human problems. In this study the researcher takes a complex picture, examines the words, reports detailed views of the respondents and conducts studies in natural situations. Qualitative research is carried out in natural conditions and is a discovery. In qualitative research, the researcher is the key instrument. Because of that researchers must have the provision of theory and broad insight so they can ask questions, analyze and construct the object being researched to be clearer. This research emphasizes more on meaning and bound by value. The essence of qualitative research is observing people in their environment interacting with them, trying to understand their language and interpretation of the world around them, approaching or interacting with people related to the research focus with the aim of trying to understand, explore their views and experiences to obtain information or data. what is needed Qualitative research where the role of the researcher is as a key instrument in collecting data, and interpreting data.Data collection tools usually use direct observation, interviews, document studies. While the validity and reliability of data using triangulation using inductive methods, the results of qualitative research emphasize meaning rather than generalization. Qualitative research is used if the problem is not clear, to find out hidden meanings, to understand social interactions, to develop theories, to ensure the correctness of data and to examine the history of development.
FISHERIES COOPERATIVE FINANCIAL REPORT BINA USAHA MAJU GAMPUNG BLANG NALEUNG MAMEH KECAMATAN MUARA SATU KOTA LHOKSEUMAWE
Authors: Yulia Putri Riska , Riska Ayunda Tia , Waznah Waznah , Parida Desi , Saharuddin Saharuddin
Published: July 2023

Cooperatives as an economic system play a very important role in increasing the income and income distribution of its members. Cooperatives are companies that must be able to provide economic services to their members and the surrounding community. Cooperative performance can be seen from the financial reports. This study aims to determine the finance of Fishery Cooperatives for advanced business development. This can be obtained by analyzing the financial statements of cooperatives. This study used several techniques, namely interviews, questionnaires and observation. The location is in the village of Blang Naleung Mameh, Muara sub-district, North Aceh district. The results of this study show that the results of the 2018 financial statements have decreased.
THE INFLUENCE OF LEADERSHIP STYLE ON EMPLOYEES OF SURYA MANDIRI MUHAMADIYAH SURYA MANDIRI COOPERATION IN LHOKSEUMAWE
Authors: Yulmaida Titi , Alisa Alisa , Ananta Raisya , Zamharira Alisya Putria , Nur Ilham Rico
Published: July 2023

Sharia cooperatives have two backgrounds of establishment and activities that are almost as strong, namely as microfinance institutions and as Islamic financial institutions. Judging from the principles that exist in cooperatives, there is nothing that conflicts with Islamic law. This institution is in accordance with Islamic values. However, it is necessary to improve and monitor the cooperative system, namely, to avoid Riba, Maysir, Ghoror, Batil. Islamic cooperatives do not have a striking system difference with conventional cooperatives. Therefore, the legal umbrella used by sharia cooperatives generally uses the legal umbrella for conventional cooperatives, namely Law No. 25 of 1992 concerning cooperatives. This research is a type of qualitative descriptive research and in collecting data using observation interviews and documentation methods, there are data analysis techniques used, namely data reduction, data presentation, and drawing conclusions. The results of this study indicate that the Muhammadiyah Surya Mandiri Syariah Cooperative helps the Lhoksuemawe community in making savings and loans.
ANALYSIS OF WORK DISCIPLINE ON EMPLOYEE PERFORMANCE AT THE NASARI SAVING AND LOAN COOPERATIVE IN LHOKSEUMAWE
Authors: Anissa Farah , Salsabilla Cut , Nuryana Nuryana , Nur Ilham Rico , Sinta Irada
Published: July 2023

The purpose of this study was to determine the level of work discipline in the activities of Nasari Savings and Loans Cooperative Employees. This research is qualitative research using descriptive techniques. Data collection through interviews, observation and documentation at the Nasari Lhokseumawe Savings and Loans Cooperative. The results of this study indicate that at the level of work discipline, the number of employees in construction companies is still small, which has an impact on the low quality of human resource work. The reasons are several things. Examples of low employee discipline include lack of discipline for being late to work, lack of awareness of discipline, and efforts to increase employee efficiency. To overcome this, companies must set an example of discipline for their employees and reward disciplined employees. Keywords: Discipline, work discipline, employee performance Abstract The purpose of this study is to determine the level of work discipline activities of Employees of the Nasari Savings and Loans Cooperative. This research is qualitative research with descriptive data collection techniques through interviews, observation and documentation at the Nasari Lhokseumawe Savings and Loans Cooperative. The results of this study indicate that at the level of work discipline, the number of employees in construction companies is still small, which has an impact on the low quality of human resource work. The reasons are several things. Examples of low employee discipline include lack of discipline for being late for work, lack of awareness of discipline, and efforts to increase employee efficiency. To overcome this, the company must provide an example of discipline to its employees and reward disciplined employees. Savings and Loans Nasari Lhokseumawe held Supervise staff to ensure that personal activities do not deviate from plans and goals set by the company.
ANALYSIS OF MEMBER SATISFACTION LEVELS ON THE SERVICES OF THE NASARI SAVINGS AND LOANS COOPERATIVE IN THE CITY OF LHOKSEUMAWE
Authors: Jariah Abubakar  , Furqan Muhammad , Rizkina Fathi , Haikal M. , Sinta Irada
Published: July 2023

The Nasari Savings is needed to find out the perceptions of a member about the services and performance of the management that has been carried out. To assess and examine the satisfaction of members, several dimensions can be used as measurement tools. The study was aimed to determine the level of satisfaction of members of the Cooperative. This study used a qualitative descriptive method with a total sample of 96 people. The sampling technique uses simple random sampling technique and data is collected through a questionnaire. The indicators of service; office strategic elements, cleanliness and comfort of office space, the availability of complete office facilities such as computers, printers and office telephones, transaction execution systems, accuracy in services, information clarity given by employees, the readiness of employees to receive complaints from members, the willingness and ability of employees to provide the information needed, the readiness of employees in providing services, knowledge, skills and skills of employees in their fields, beliefs about security, cooperative legal certainty, attention given by employees against member complaints, employees provide services to all members regardless of social status, employees always maintain good communication with members are included to Very Good performances.
WOMEN IN OLYMPICS
Authors: Dr. AJAZ AHMAD DAR  , Prof. SUNIL KUMAR  , GOWHAR AHMAD THOKAR  , TANVEER ALI
Published: July 2023

The adverse topic of women in sports stems from society's disregard to viewing women as persons. Women were, and in other parts of the world continue to be viewed as property of men and have no significant role in society. Being allowed into the Olympics was a step in the right direction for women across the world, but it was meager attempt equality. Women were still restricted by what events they were allowed to compete in, how they were trained and coached and even limited as to what they could wear. This article will evolve around the subject of female integration and participation in athletics in the Olympic Games, analyzing the initial difficulties they encountered, the role played by sports institutions as well as international federations and the Olympic International Committee.
MODERN ERA OF HUMAN RESOURCE MANAGEMENT:A STRATEGIC EDGE TO HUMAN TALENT MANAGEMENT
Authors: Dr.Aajaz Ahmad Hajam  , Alphonsa S John
Published: July 2023

Increasing theoretical and conceptual understanding of human talent management (HTM) is the aim of this research. To clarify the important connections between competency emphasis, talent pooling, talent investment, and talenting orientation and value generation, authors have put out a conceptual framework and a few propositions. A human talent management model has been presented by the authors, which could help academics and practitioners alike better comprehend the talent management orientation. Also, using this approach, practitioners may be able to intelligently match talent strategies with company objectives to produce higher economic value (Shareholders, Employees, Owners, Customers, agents, and other stakeholders).
EFFECT OF DEFAULT RISK, ACCOUNTING CONSERVATISM, PROFIT PERSISTENCE AND AUDIT QUALITY ON EARNINGS RESPONSE COEFFICIENT (ERC) IN NON-FINANCIAL COMPANIES REGISTERED ON THE INDONESIAN STOCK EXCHANGE (IDX) IN 2019-2021
Authors: Muammar Khaddafi  , Nasriani  , Yunina  , Mursidah  , Damsar
Published: July 2023

This study aims to examine the effect of default risk, accounting conservatism, earnings persistence and audit quality on earnings response coefficient (ERC). The population in this study are non-financial companies listed on the Indonesia Stock Exchange (IDX) for 2019-2021 with a total of 673 companies. Sampling in this study used purposive sampling and obtained as many as 118 companies with 354 observational data. This research is a quantitative research with secondary data sources including the company's annual financial reports obtained through the websitewww.idx.co.idand stock prices obtained through the sitehttp://finance.yahoo.com. Data collection techniques in this study are the method of documentation and literature study.Data analysis in this study used panel data regression using EViews 12 software. The results showed that default risk had no significant effect on earnings response coefficient (ERC), accounting conservatism and earnings persistence had no significant positive effect on earnings response coefficient (ERC). And audit quality has a negative and significant effect on earnings response coefficient (ERC).
COMPANY PERFORMANCE AND ACHIEVEMENTS POST MERGER CASE STUDY OF PT INDOSAT TBK (IOH)
Authors: Ardi Wiranata Hutasoit  , M. Yusuf Sirat  , Roy Erisusanto  , Faisal  , Suzan Novita  , Indrayani  , Muammar Khaddafi
Published: July 2023

Mergers and Acquisitions (M&A) is a strategy commonly used by companies to achieve growth, expand market share, gain access to new technologies, and achieve competitive advantage. However, the M&A process does not always go according to plan and can present complex challenges. Many companies have failed in conducting mergers and acquisitions, which has an impact on organizational performance and shareholder value. Therefore, it is very important to understand the factors that influence the success and failure of this process, especially in the context of a telecommunications company such as PT Indosat Tbk (IOH). The literature shows that there are many factors that contribute to the success or failure of mergers and acquisitions. These factors include clear strategy and objectives, effective operational integration, management of organizational culture, strong leadership, effective change management, human resource management, and external factors such as market conditions and regulations. It is important for companies to carefully consider and manage these factors in their mergers and acquisitions processes. The case study of PT Indosat Tbk (IOH) is the focus of this research article. The company has experienced mergers and acquisitions in its history, namely with PT Hutchison 3 Indonesia (H3I) or Tri Indonesia. Therefore, analyzing the factors that influence the success and failure in PT Indosat Tbk (IOH) mergers and acquisitions can provide valuable insights for other companies planning M&A in the future. This study uses a qualitative approach by collecting data through relevant literature studies, financial reports, and company publications. The collected data is then analyzed systematically to identify the factors that influence the success and failure of mergers and acquisitions at PT Indosat Tbk (IOH). The findings of this study are expected to provide insight and better understanding of company performance and post-merger acquisition achievements, especially in the context of PT Indosat Tbk (IOH). With a better understanding, companies can take the right steps to increase the chances of success in the M&A process.
THE MILITARY REFORMS AND ACHIEVEMENTS OF ALAUDDIN KHILJI
Authors: Bilal Ahmad Mugloo
Published: July 2023

Alauddin Khilji, the ruler of the Delhi Sultanate in medieval India, faced numerous military challenges during his reign. These challenges included defending against Mongol invasions, suppressing internal rebellions, expanding the boundaries of the Sultanate, and overcoming logistical obstacles. To address these challenges, Khilji implemented significant military reforms, such as establishing a standing army, implementing strict disciplinary measures, introducing the branding system for horses, and constructing strategic forts. These reforms played a crucial role in consolidating his power, expanding the Sultanate's territory, ensuring the effectiveness of the armed forces, and strengthening the stability of the Delhi Sultanate. Khilji's military strategies and decisions, including his aggressive expansionist policy and emphasis on defense, intelligence gathering, and resource utilization, contributed to his military successes and reshaped the socio-political dynamics of the Sultanate.
PROSPECTS FOR TURMERIC AGROINDUSTRY IN LAMTEUBA, SEULIMUM SUB-DISTRICT ACEH BESAR DISTRICT
Authors: Widyawati  , Rahmi Khoiriah Nasution  , Anwar Deli
Published: July 2023

Turmeric is a medicinal plant that has many benefits. There are more turmeric production centers in Indonesia in Java and Sumatra, it does not rule out the possibility of turmeric production centers in Aceh Province, one of which is in Seulimum District. The limited knowledge possessed by turmeric farmers, both technology and the market, makes turmeric farmers prefer to sell directly their turmeric harvests rather than processing them first into other products. The purpose of this study was to determine the processing techniques, costs and benefits derived from the turmeric powder processing industry in Lamteuba, Seulimum District, Aceh Besar District. The scope of this research is limited to processing techniques, business feasibility analysis of turmeric powder. Based on the research results, it was found that the turmeric powder processing techniques in Lamteuba already used machine technology such as washing machines, slicing machines, ovens and milling machines. Production costs incurred amounting to Rp. 22,047,273/month with a monthly profit of Rp. 4,952,727. The R/C Ratio value is 1.22, meaning that the business is feasible to run. The ROI value is 22.46% and the BEP price and BEP the amount of production obtained are Rp. 48,993/Kg and 367 Kg/month. 46% and BEP price and BEP the amount of production obtained respectively Rp. 48,993/Kg and 367 Kg/month. 46% and BEP price and BEP the amount of production obtained respectively Rp. 48,993/Kg and 367 Kg/month.
THE ROLE OF THE BANGKA JAYA BEACH TOURISM OBJECT IN INCREASING THE ECONOMIC GROWTH OF THE KRUENG GEUKUH COMMUNITY DEWANTARA DISTRICT NORTH ACEH REGENCY
Authors: Sutriani  , Likdanawati  , Jumadiah  , Hamdiah
Published: July 2023

This study aims to see how the Bangka Jaya Beach tourism object can have an impact on the economic growth of the community. In tourism the interaction between tourists and local communities can increase economic activities such as income, business opportunities, employment opportunities and reduce unemployment or poverty. Tourism is a driving force for the creation of community creativity in an effort to improve living standards. Efforts made to explore tourism potential can be in the form of developing human resources, implementation steps, as well as improving facilities and infrastructure, and human behavior towards the environment. This can boost the high interest of tourists to visit tourist destinations so that not only the community's economy grows.