bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of English teachers’ professional development based on data mining and time series model
Authors: Fu Min , Zhang Xinye
Published: August 2023

English is a basic required course in colleges and universities. Different from other majors, students majoring in English usually have to pass CET-4, IELTS, and TOEFL. Therefore, both English majors and teachers have necessary feature vectors. Using data mining technology to predict the professional development direction of English major students from the perspective of big data is the goal of this paper. Based on a convolutional neural network and sequential model algorithm, the career development prediction model is established, and its accuracy is evaluated. It proves that the prediction effect of the model has the value of continuing in-depth research, and then the prediction model is further optimized. Finally, based on the design and development of the optimization model of English major students’ career development prediction software, the prediction model is analyzed and studied based on the real data of the school.
BIM+ Engineering Cost Estimation Optimization Based on Equivalent Approximate Linear Model
Authors: Lu Yuan , Wang Yilin , Huang Lili
Published: August 2023

In this paper, a typical equivalent fitting linear modeling method is studied by using BIM technology. This paper realizes the quality-efficiency control of construction projects based on BIM technology. The software can realize the cost data statistics and collection of each sample. The system takes the statistical sequence of each department’s project cost as the original data for dimensionality reduction processing. The variance contribution is used as the weight to calculate the weight of each main component. According to the finite element analysis of combined parameters, the project cost and construction benefit are the restrictive factors. A multi-factor comprehensive evaluation method establishes a rapid construction cost evaluation model. The experimental results show that this method agrees with the conventional calculation method and the measured data. The estimated cost of construction differs little from the measured value. The results show that the model constructed according to different stages of the construction projects has good prediction accuracy.
Analysis of the effects of physical activity on chronic diseases based on multidimensional data analysis
Authors: Liang Jun , He Qing
Published: August 2023

In recent years, the incidence of chronic diseases in the middle-aged and elderly population has been increasing, with high morbidity, disability, and mortality rates, and is one of the most dangerous factors leading to death in middle-aged and elderly people. Although drugs are the most common means of treating chronic diseases, long-term medication can bring serious side effects and cause chronic damage to multiple organs. Evidence-based medical evidence shows that sports prescription interventions have better intervention effects on chronic diseases without side effects, and they have become a common means to promote recovery and improve the quality of life of patients with chronic diseases. In this paper, we will analyze the effects of different sports on the indicators of chronic diseases from a multidimensional perspective and develop a scientific sports prescription to help patients with chronic diseases recover. The experimental results show that high-intensity intermittent exercise and resistance exercise also have good intervention effects on patients with chronic diseases; in addition, different exercise prescription factors such as exercise intensity, exercise time, and exercise items directly affect the intervention effects of exercise, and unscientific exercise prescriptions not only fail to promote patients’ recovery but also bring adverse effects on patients’ physical functions and even aggravate the development of the disease. The recovery of the physical function of the patients in the experimental group is sufficient to show the feasibility of exercise intervention. Therefore, the development of scientific exercise intervention prescriptions is of great significance to the rehabilitation of patients with chronic diseases.
Information security of hospital computer network based on SAE deep neural network
Authors: Li Guizhen , Dong Zhenyin , Wang Yongping
Published: August 2023

As the pace of hospital informatization construction continues to accelerate, information network technologies are being used more and more extensively in the medical industry. These advanced technologies make medical businesses more and more dependent on industry information and data, which brings about network system security issues that cannot be ignored. To strengthen the daily operation and management of hospitals, ensure the stable operation of computer systems, and do a good job in protecting the security of hospital computer system network information, this paper designs a risk assessment method for hospital computer network information security based on SAE deep neural network and analyzes the main factors affecting the security of hospital computer system network information. The experimental results prove that the proposed method can effectively improve the reliability of the evaluation results and ensure the accuracy of the evaluation results. According to the obtained information security model, it can effectively guide the construction and application of hospital computer network information systems, optimize the system network, and promote the development of hospital informatization.
An innovative training model for developing talents in French language education based on the deep learning model
Authors: Tang Yafen
Published: August 2023

Modern society is developing rapidly, new technological means are emerging, people’s mindset is changing day by day, and all aspects of social life have undergone great changes. In such an era, French teaching is facing new challenges, but it is also a new opportunity for teaching reform. The introduction of new deep learning model teaching tools in traditional teaching, the construction of online education, and the adoption of a combination of online and offline teaching models enable French teaching to adapt to the characteristics and needs of the new era and ensure the quality of teaching. The model uses deep learning as technical support and takes the prediction of students’ answers to a question as a judgment indicator. Through the generation of directed graphs in the model, the model structure is optimized to improve its application in predicting students’ answers compared to the classical model. It is prepared for the next step of building a system for personalized question recommendation using deep reinforcement learning. The model plays a role as a student simulator in the recommender system. So its prediction effect reflects the simulation effect on students. Finally, it is experimentally demonstrated that the proposed deep knowledge tracking model based on directed graphs has a significant improvement in prediction effectiveness compared to the traditional model.
Machine vision-based multi-degree-of-freedom laser cladding system integration and process monitoring research
Authors: Zhao Liqun , Zhang Wen
Published: August 2023

Machine vision-based multi-degree-of-freedom laser cladding system integration and process monitoring is an important methods to ensure high-quality laser cladding. In this paper, based on the basic theory of multi-degree of freedom of machine vision, the laser cladding system is redesigned, and the melt pool images during the cladding process are monitored and analyzed. The melt pool image is pre-processed with the help of spatial filtering, and the image is thresholded using the iterative method thresholding to analyze the melt pool image. It is proved that the larger the laser power is, the larger the melt pool area is, and the maximum melt pool area is 60,000 pix when the laser power is 200 W. The maximum melt pool area is achieved when the nozzle tilt angle is 30° and the melt pool area is vertical. The smaller the melting speed, the larger the melting area and the maximum melting pool area is up to 35000pix when the melting speed is 210mm/min. It shows that the integration and process monitoring of the multi-degree-of-freedom laser melting system based on machine vision can reasonably control the process parameters of laser melting and improve the quality of laser melting by real-time monitoring and analysis of the melting pool images.
Software engineering database programming control system based on embedded system
Authors: Luo Ke , Deng Wei
Published: August 2023

To improve the programming efficiency of a software database, this paper analyzes the possibility of running an embedded system in a software engineering database by constructing an embedded software data programming control system with the help of an independent time step algorithm and main function. By analyzing and calculating the format of DXF files and commonly used group code values, the format of file storage and the method of expressing data in the graphical element processing module are summarized to ensure the accuracy of software processing and the stability of the software processing process. According to the laws summarized in the analysis, the necessity of introducing an embedded system in the software data programming control process was proposed and simulated, and tested. In the test process, we focus on the process time consumption, space resource occupation rate, running accuracy, and step length data. The test results show that the maximum programming process time of the embedded software data programming control system is only 4.5s, the minimum software space resource occupation rate is 19.7%, the highest operation accuracy is 98.9%, and the calculation time per step is about 0.002s, which is significantly better than the programming system based on remote wireless synchronization system and the computer software programming system based on C language technology. The data calculation results of the independent time step algorithm and the main function prove the feasibility of introducing embedded systems in the software programming process and improving the reusability of software programming code for embedded systems.
Research on international logistics supply chain management strategy based on deep reinforcement learning
Authors: Wang Yuzhen , Wang Jian
Published: August 2023

The use of deep reinforcement learning algorithms for strategy formulation in supply chain management enables the nodes in the supply chain to better improve their management strategies. In this paper, a supply chain model is constructed as a starting point, and deep reinforcement learning algorithms are introduced on this basis. Firstly, the decision problem of uncertainty is handled by the reinforcement learning method of functions, and the DQN algorithm (deep neural network algorithm) is divided into two parts for iterative rules. Then the target network is established to make the iterative process more stable, to improve the convergence of the algorithm, evaluate the loss function in the training process of the network, and to determine its influence factor. Then the neural network is used to improve the iteration rule, improve the output layer, select the final action, and define the model expectation reward. Finally, the Bellman equation is fitted to the function by a deep neural network to calculate the final result. The experimental results show that by analyzing and constructing the cost of international logistics under supply chain management, the capacity utilization rate of ocean freight link is 57% The unloading link is 74% and the total capacity utilization rate is calculated as 76%. It shows that using deep reinforcement learning algorithms under international logistics supply chain management is feasible and necessary for improving the management strategy research of supply chains.
Exploring the path of development of international trade of agricultural products in the context of digitalization
Authors: Wang Fei , Chen Wanling
Published: August 2023

Agriculture is the foundation of the national economy, and Chinese agriculture in the digital background should realize the intelligent management of agricultural production To improve the efficiency of international trade of Chinese agricultural products and help Chinese agricultural products occupy a larger share in the international market, this paper takes the clustering algorithm and agricultural IoT technology as the research method applies the improved spectral clustering algorithm for processing agricultural data to extract research data and perform data correction, simulates and evaluates the performance of the algorithm through agricultural IoT data pooling and simulation analysis, and uses the chance routing performance index as the main judgment The variance results are derived from the criteria. The data show that the production of agriculture, forestry, animal husbandry, and fishery has developed qualitatively in the digital background, and the total output value reached 122,874.96 billion yuan in 2021, and the total grain production reached 73,000,000 tons in 2021, with obvious export advantages. The export value of agricultural products has grown from $48.98 billion in 2010 to $85.06 billion in 2021, and the export value of China’s agricultural products exceeded $70 billion in 2014, making China’s international trade in agricultural products fruitful. Based on this, this paper explores the multifaceted achievements and future development path of international trade in agricultural products in the context of digitalization, intending to contribute its share to China’s international trade in agricultural products.
Understanding the impact of plateau climate on the travel behavior of elderly pilgrims: Evidence from Tibet, China
Authors: Cheng Gang , Wang Xinlei , Yang Can
Published: August 2023

The climate is an important factor influencing residents’ travel behavior. Many studies have focused on travel in areas with gentle terrain, with high-altitude regions receiving increased research attention due to their unique climatic conditions. Pilgrimage is a daily travel activity for many residents, and studying pilgrim flow patterns helps enrich the theory of travel behavior in high-altitude regions. In the context of population aging, it is crucial to help policymakers and transportation planners recognize the travel mobility needs of elderly pilgrims. This paper comprehensively analyzes the socio-demographic, travel and personal health attributes related to the mobility of elderly pilgrims and establishes plateau climate as an important factor influencing the travel behavior of this group. This study considers the actual situation of the Tibetan Plateau to fit the theoretical gap related to the travel behavior of urban residents in the plateau. Using travel diary data from selected cities on the Tibetan Plateau, a Random Coefficient Multinomial Logit Model is used to analyze the mobility patterns of elderly pilgrims. Considering the realities of China and based on specific research findings, policies developed by transportation practitioners and urban planners need to encourage older adults to use active transportation modes with lower carbon emissions and public transportation.
A Study on Aesthetic Elements in Ethnic Music Appreciation in the Age of Information Technology
Authors: Jia Jiangli , Zhang Hainan
Published: August 2023

In the age of information technology, the communication and collision mode between folk music cultures is no longer single, and the data of information also makes the dissemination of folk music culture develop towards diversification. This paper first builds a folk music appreciation platform based on B/S model system architecture. Apriori mining algorithm is added to improve the fully automatic algorithm. After constructing the database of aesthetic elements, we select and pre-process the audio data to be mined for folk music appreciation. Convert and mine the processed aesthetic elements. Finally, the mined aesthetic elements in folk music appreciation are analyzed. The test results of the improved Apriori data mining algorithm are generally high, as verified by experiments. The folk music with the highest number of clicks was “Five Brothers Herding Sheep” with 810 clicks. The ethnic music with the least number of clicks is “Yellow River”, with 189 clicks. The ethnic music with the highest number of clicks was “Five Brothers Herding Sheep”, with 290 clicks. The folk music with the least number of clicks is “Dongfang Hong”, with 76 clicks. This confirms that the Apriori mining algorithm, after improvement, has high accuracy and outstanding advantages and can be used as the main means of mining aesthetic elements in folk music appreciation. Thus, the reliability of folk music appreciation can be further improved.
Punishment of employees – its causes, types, and consequences, as well as factors determining punishment for poor quality
Authors: Bugdol Marek , Puciato Daniel
Published: August 2023

Purpose

The purpose of this paper is to identify reasons for punishing employees, prevalent types of punishment, consequences of punishment, and the factors that determine whether employees are punished for the poor quality of products and services.

Design/methodology/approach

The main research method was a diagnostic survey using a questionnaire technique. A personal interview was a complementary method aimed at providing additional data and broaden the extent of research findings.

Findings

The conducted research shows that employees are punished mainly when some irregularities occur and are detected (someone does not respect the procedures and standards in force in a given organization). Penalties provided for in-work discipline systems are rarely used. They are supplemented by various informal punishments. As a consequence of penalties received, employees feel injustice, a lack of motivation to work, a lack of satisfaction, and an unwillingness to propose improvement actions.

Originality/value

The factors influencing punishment include the ability to set a quality criterion for a job appraisal, the presence of a quality criterion in a remuneration system, as well as the results of quality audits. The narrow spatial and temporal scope of the conducted research should be considered as its main limitation. The research was of a partial character, so its representativeness is rather limited. The interpretation of data obtained through interviews depends on their structure, the knowledge and skills of interviewees, and their ability to avoid bias.
Effect of nitrogen doses on growth and yield of several varieties of tungro-infected rice plant
Authors: Achmad Gunawan  , Purwono  , Lubis Iskandar , Widiarta I Nyoman
Published: August 2023

Tungro is still a problem in efforts to increase rice production, it can disrupt the stability of rice production if conditions worsen. Plant fertilizer application is an integral part of plant cultivation, especially nitrogen fertilizer. Improper utilization of fertilizers can harm agriculture by increasing plant vulnerability to pests and diseases. Thus, the purpose of the study was to examine the effects of various doses of nitrogen on the agronomic performance of rice plants, as well as their susceptibility to tungro. The research was conducted at the Greenhouse, Sukamandi, and the Muara Experimental Field, Center for Rice Research, Bogor. The experiments, both in the greenhouse and field, used a split-plot randomized complete block design with three replications. The main plots were variety, while the subplots were nitrogen dosage. The results showed that Inpari 36 Lanrang was better than Ciherang and IR64 in terms of plant height, number of tillers, empty grain per clump, leaf greenness, and yield/pot in the greenhouse. While from the field experiment, varieties have different flowering times, plant heights, number of filled grains, number of empty grains, 1,000-grain weight, net assimilation rate, yield/plot, and tungro incidence. The use of nitrogen fertilizer affected flowering time in the greenhouse and affected productive tillers, yield per plot in the field, and the greenness of the leaves of healthy plants. The optimum dose is 167.5 kg ha-1 nitrogen. As a result, it is recommended that controlling tungro disease should involve the integration of fertilizer application that is balanced with the use of resistant varieties.Keywords: agronomic performance, nitrogen rates, plant diseases, resistant varieties, tungro infection
Tingkat Literasi Financial Technology dan Kompetensi Akuntansi Pada Mahasiswa Akuntansi di Sumatera Selatan
Authors: Safitri Rika Henda , Kalsum Umi , HS Rosihan Arief , Burhanuddin Burhanuddin , Nurullah Asfeni
Published: August 2023

The research aims to prove the effect of financial technology literacy levels and accounting competence on accounting students in South Sumatra. The research sample consisted of 384 accounting students from public and private universities in the South Sumatra region. The data analysis technique uses multiple linear regression analysis. Based on the results of research using primary data in the form of questionnaires and the results of the analysis it is proven that there is an influence from financial literacy, financial technology, and accounting competence on student competence. Therefore, it can be said that one of the abilities that students need to have is financial literacy, in order to make it easier to make decisions about using finances.

Keywords: Financial Literacy; Financial Technology; Accounting Understanding; student competencies
Analisis Determinan Kepatuhan Wajib Pajak Kendaraan Bermotor di Kantor SAMSAT
Authors: Lestari Desak Made Dian , Ngurah Agung Kresnandra Anak Agung
Published: August 2023

The decline in realized revenues and the high arrears on motor vehicle taxes indicate a low level of taxpayer compliance. The study aims to determine the effect of income levels, understanding of tax regulations, and service quality on motor vehicle taxpayer compliance at the SAMSAT Office of Gianyar Regency. The sample used was 100 motor vehicle taxpayers. Purposive sampling was used as a sample determination method. The questionnaire method was used as a data collection method. Multiple linear regression analysis is the analytical technique used in this study. The results showed that the level of income, understanding of tax regulations, and quality of service had a positive effect on motor vehicle taxpayer compliance. This research provides empirical support for the Theory of Planned Behavior and attribution theory.

Keywords: Income Levels; Understanding of Tax Regulations; Service Quality; Taxpayer Compliance
Lingkungan Belajar, Perilaku Belajar dan Tingkat Pemahaman Pengantar Akuntansi dalam Proses Pembelajaran Daring
Authors: Puspasari Dewa Ayu Dwita , Suaryana I Gusti Ngurah Agung
Published: August 2023

Changes in various aspects of activities occurred at the beginning of 2020 due to the Corona virus Disease (Covid-19) pandemic. Changes in the learning process switch to online (online). The research aims are to focus on understanding the influence of the learning environment and learning behavior on the level of understanding of introductory accounting. The sample was selected as many as 165 people through a survey with students of the Bachelor of Accounting Study Program, Faculty of Economics and Business, Udayana University as the population. Multiple linear regression analysis was chosen to be the technique for conducting data analysis. This research found that there is a positive influence of the learning environment and learning behavior on the level of understanding of introductory accounting through online. The implications of this research finding support the attribution theory regarding the level of understanding that is influenced by various external and internal factors.

Keywords: Learning Environment; Learning Behavior; Level of Understanding of Introduction to Accounting
Capital Expenditure, Kesempatan Bertumbuh, Volatilitas Arus Kas dan Cash Holding
Authors: Shari Putu Nadya , Badera I Nyoman Dewa
Published: August 2023

Cash holding or the availability of cash is very important in a company so that the company must have a good cash management system, especially companies that are vulnerable to a liquidity crisis. This study aims to empirically examine the effect of capital expenditure, growth opportunities, and cash flow volatility on cash holdings. The research was conducted on property and real estate companies listed on the Indonesia Stock Exchange with a total sample of 30 companies. The analysis technique used is multiple linear regression analysis. The results showed that capital expenditure had a significant negative effect, growth opportunities did not have a significant effect, and cash flow volatility had a significant positive effect. The results of the study contribute to confirming the trade-off theory and the pecking order theory as well as providing an empirical picture of the effect of capital expenditure, growth opportunities, and cash flow volatility on the cash holdings of companies in the property and real estate sector.

Keywords: Cash Holding, Capital Expenditure, Growth Opportunity, Cash Flow Volatility.
Penggunaan Sistem Informasi dan Kinerja Karyawan
Authors: Manacika Dewa Ngakan Gede Galang , Ariyanto Dodik
Published: August 2023

The study of various factors that influence the use of information systems on the performance of village credit institution (LPD) employees is the focus of this research. This research was chosen to be conducted in Gianyar Regency. The population in the study included all LPD employees in Gianyar who were registered with the Gianyar Village Credit Empowerment Institute (LPLPD) and obtained a sample size that met the criteria of 126 respondents. Multiple linear regression analysis is the chosen analytical technique. The findings obtained based on the analysis of respondents' answers show that Social influence significantly influences perceived usefulness, facilitating and Computer self-efficacy has a significant effect on perceived ease of use, Perceived usefulness and Perceived ease of use have a significant positive effect on the attitude of using information systems, and Attitudes of using information systems have a significant effect on employee performance.

Keywords: Social Influence; Computer Self Efficacy; Perceived Usefulness; Perceived Ease of Use
Prediksi Kualitas Udara Suspended Particulate Matter dengan Algoritma Backpropagation
Authors: Indra Kusuma I Gede Alanda , Raharja Made Agung , Adi Pramartha Cokorda Rai , Mahendra Ida Bagus Made , Suhartana I Ketut Gede , Atmaja Darmawan I Dewa Made Bayu
Published: August 2023

Suspended Particulate Matter (SPM) is particulate dust emitted from several activities such as transportation and industrial factory areas, one of which is PM10. Currently particulates as one of the causes of air pollution are quite a concern in various countries which have an impact on human health. suspended particulate matter stays in the air and does not easily settle and float in the air, on average around 50% - 60% of the suspended particles are 10µm or PM10 in diameter dust so it is very easy to inhale and enter the lungs. So that this research was appointed to predict the concentration of suspended particulate matter using the Backpropagation Algorithm. In this study, three artificial neural network models were built, each of which has a different level of accuracy, the Backpropagation network architecture that produces the highest accuracy value is by using a network scheme of 3 input layers, 20 hidden layers and 1 output layer with a learning rate. 0.8, the target error is 0.001 and the number of epochs is 10,000, the predicted results of the suspended particulate matter concentration obtained using this model can be said to be good because it produces an MSE value of 0.037 with an accuracy rate of 95.526 %.
Sistem Pencocokan Aksara Bali Menggunakan Template Matching Dan Komputasi Paralel
Authors: Wibawa I Gede Arta , Ariyanto I Gede Tendi , Putri Luh Arida Ayu Rahning , Suhartana I Ketut Gede , Kadyanan I Gusti Agung Gede Arya , Astuti Luh Gede
Published: August 2023

Balinese script is a traditional script used to write Balinese language and literature. Balinese script is also one of the richness of Balinese culture. However, Balinese script has a unique shape that is almost the same as each other, and some writings are only distinguished by one line stroke. This can complicate learning as well as in developing applications in this modern era. So because I did research in making Balinese script matching systems using template matching and parallel computation in order to find out what the value of the average dissimilarity of each Balinese script letter can be used as a reference in developing applications related to Balinese script.

In this study I used the template matching method to find out the average error value of each Balinese accented letter contained in the bali simbar font. From the method, each pixel value of the Balinese script that has been processed in the binary process will match each pixel value to obtain an error value. The error value will be looked for the average and will be made a table to make it easier to find the largest MSE value or Balinese script that has a small similarity value. In the template matching process, parallel computation is also inserted as well as making comparisons between applications that use parallel computing and do not use parallel computing in order to know whether there is a difference in processing time or not.

Based on the research conducted, the results obtained that the largest MSE value of 0.071354167 has a similarity of 93%. Where this shows that the similarity of the Balinese script to the others has similarities above 90% and the results of the data processing time for systems that use parallel computing are 4977 and systems that do not use parallel computing are 4789.

 

Keywords:        Template matching, parallel computing, Balinese script matching
Shoe Review Sentiment Analysis Using Machine Learning and Deep Learning with Word2vec
Authors: - Sugiyanti
Published: August 2023

In this modern era, internet use is continually increasing and will run with an increasing amount of existing data, such as text data. Characteristics of unstructured text are a challenge in text processing feature extraction and encourage sentiment analysis research to be carried out. The availability of a lot of text data on the internet is a challenge in sentiment analysis because it requires a complex approach. This study uses the baseline Deep Learning (DL) method, namely Long-Short Term Memory (LSTM) and Convolutional Neural Network (CNN) with word2vec. It uses Machine Learning (ML), namely Random Forest (RF), Support Vector Machine (SVM), and Gaussian Naïve Bayes (GNB) with the proposed method, word2vec, and the dataset used is the shoe review dataset which consists of 389,877 reviews. From the discussion above, to carry out sentiment analysis, a more suitable method is to use the CNN baseline method with word embedding word2vec to get an accuracy value of 91.53%. The novelty of this study is the increase in the classification accuracy value from previous studies.
A Short Review Based on the Article Entitled ‘‘Acupuncture Treatment as an Adjuvant Therapy to Promote Urinary Stone Passage Rate: A Systematic Review and Meta-analysis’’
Authors:   Jhongli Ten Chan Hospital, Yeh Chun-Tung
Published: August 2023

The findings suggest that acupuncture, when combined with traditional Chinese medicine or western medicine, has a higher success rate in promoting urinary stone passage.
Influence of Enhanced Amino Acid Compositions on Human Cognitive Functions after COVID-19
Authors:   Concordia University, R Valverde
Published: August 2023

The results showed that using AA compositions during the longitude period significantly affected cognitive functions in particular memory, speed of reactions and attention and allow to overcome negative effects of the Covid inflammation.
Investigating English-Majored Students’ Levels of Satisfaction with Their Internship Experiences: A Case Study at Ho Chi Minh City University of Economics and Finance
Authors: Dung Tran Thi
Published: August 2023

This study aims to explore English-majored students’ perceptions of the value of internship and their levels of satisfaction with regard to three workplace dimensions including job characteristics, work environment characteristics, and contextual factors. Fifty interns from the Faculty of English at Ho Chi Minh City University of Economics and Finance (UEF) participated in this project. Data were collected through questionnaires and then quantitatively and qualitatively analyzed. The results indicated that the majority of the interns had positive perceptions of the internship experience and demonstrated their maturity and responsibility. The students also expressed high satisfaction with job characteristics, specifically skill variety, autonomy, feedback, and work-related factors such as co-workers and supervisor support. However, they were somehow dissatisfied with contextual elements such as the working hours and compensation. These findings can assist academic institutions, academic supervisors and host companies in providing students with effective internship experience and enhancing their workplace skills.
Applying the “Literature Circles” in Thematic Literature Teaching of Grade 10
Authors: Tran Nguyen Hoang Bao
Published: August 2023

This article has the task of proposing a theoretical framework to apply the “literature circles” in thematic literature teaching of grade 10: “Read, write and introduce a collection of poems, short stories or novel” in the direction of the General Education Program Literature subject 2018. Firstly, the article introduces the outlines around the definition, advantages and relevance of the application of the “literature circle” in thematic teaching, in order to provide theoretical background knowledge to the teacher. Secondly, the article aims to provide a specific theoretical framework, associated with each step of the implementation of the “literature circles” in thematic teaching, including detailed content instructions.
Species and Termite Attack Intensity on Pine Trees in Nagari Talang Babungo, Solok District, West Sumatra Province
Authors: Desyanti Desyanti , Fauzan Fauzan , Yenti Zulhilda
Published: August 2023

Termites are classified as insects that destroy trees and other organic materials containing cellulose, including pine trees. The species and attack intensity of termites on pine trees in the protected forest of Nagari Talang Babungo, Solok District, West Sumatra Province, is unknown. This study aimed to determine the type and intensity of termite attacks on pine trees in the protected forest of Nagari Talang Babungo, Solok District, West Sumatra Province. This research was conducted by survey method with direct observation and graveyard test techniques. Based on the results, it was found that around 7.8% of pine trees in the Nagari Talang Babungo Protection Forest, Hiliran Gumanti sub-district, Solok Regency, West Sumatra Province, were attacked by termites Nusitutermes sp, which was indicated by the presence of termite galleries on the trunks and bases of the stems. The intensity of the termite attack was relatively low, with a percentage of lose weight by using graveyard test was 17.7%.
PEMBELAJARAN DARING NEW NORMAL COVID-19 SESUAI KETENTUAN KESEJAHTERAAN ANAK DAERAH SUSAH AKSESBILITAS
Authors: Atikah Dannah Lestari  , Wahyuni Retnowulandari
Published: August 2023

Dalam pembelajaran daring di masa Coronavirus Disease 2019 (Covid-19) hak anak sepenuhnya tidak terpenuhi berdasarkan Undang Undang Nomor 4 Tahun 1979 yaitu hak atas pendidikan, mengenai hal tersebut memungkinkan orang tua, pemerintah dan masyarakat berperan dalam upaya pemenuhan kesejahteraan anak dalam hak pendidikan di masa new normal Covid-19 dalam pembelajaran daring di daerah yang susah aksesbilitas. Rumusan masalah yang diangkat di studi ini ialah, bagaimana pemenuhan kesejahteraan anak menurut Undang-Undang Nomor 4 Tahun 1979 terkait pembelajaran daring di masa new normal Covid-19 dan bagaimana upaya kesejahteraan anak yang telah dilakukan Pemerintah Daerah? Penelitian yang dilakukan merupakan penelitian hukum normatif yang bersifat penelitian deskriptif analitis serta jenis data yang dipakai ialah data sekunder berisi hasil wawancara yang dibantu bahan hukum primer dan sekunder. Studi ini dilaksanakan lewat analisis kualitatif dengan penarikan kesimpulan secara deduktif. Hasil penelitian dan pembahasan ini menerangkan bahwa kesejahteraan anak SDN 003 Sabang Mawang dalam pendidikan belum terpenuhi dengan baik karena berbagai faktor yang menghambat terpenuhinya hak-hak anak, hal tersebut orang tua, pemerintah dan masyarakat masih berusaha melakukan upaya dalam pemenuhan kesejahteraan anak. Kesimpulan dari penelitian ini adalah di masa new normal Covid-19 didaerah susah aksesbilitasnya memerlukan perhatian khusus dari pemerintah dalam sarana prasarana mengenai pendidikan.
TINDAK PIDANA MENYEBARKAN BERITA BOHONG MERUGIKAN KONSUMEN MELALUI MEDIA SOSIAL INSTAGRAM
Authors: Bella Annisa Maharani  , Ermania Widjajanti
Published: August 2023

Online fraud is when a writer accesses a website using internet services with the intention of fooling one of the people he intends to target. As a result, lawmakers must be more aggressive in punishing those who commit fraud, particularly online fraud, by having a deterrent effect on others who do so. 1) Did the Respondent's activities satisfy the criteria listed in Article 45A Paragraph (1) of the Electronic Transaction Information Law Number 19 of 2016 (Research Decision Number 1085/pid.sus/2020/PN.bdg)? This is the problem formulation for this final work; 2) How do judges penalize those who commit online fraud using the social media platform Instagram (analysis of decision No. 1085/Pid.sus/2020/PN.Bdg). With secondary data and qualitative analysis, this form of study is normative, and inferential reasoning is used to arrive at findings. Conclusion: 1) The respondent's conduct satisfy the conditions outlined in Article 45A (1); 2) based on the judge's sentencing in that case, which was based only on theory, particularly contemporary, which combines all three types of sentencing theories-absolute, relative, and a combination of the two-and must satisfy the following criteria: Deterrence, education, rehabilitation, social control, rehabilitation, restorative justice.
PRINSIP POLLUTER PAYS PADA PENCEMARAN LAUT AKIBAT TUMPAHAN MINYAK: HUKUM LINGKUNGAN INTERNASIONAL
Authors: Muhammad Ivandri  , Arlina Permanasari
Published: August 2023

When enforcing environmental laws, both preventive and punitive measures, the polluter pays approach is particularly beneficial. The problem is how the Polluter Pays principle is carried out by countries affected by oil spills in their territorial sea and whether the Polluter Pays principle is carried out by countries affected by sea pollution. This study discusses the implementation of the Polluter Pays principle due to marine pollution due to oil spills and the imposition of compensation. Normative research with literature reviews based on court records and facts that arise in cases of tanker accidents and oil rig leaks is used, data use descriptive analysis. The data sources used are primary and secondary legal materials. The results of the research and discussion illustrate the application of the Polluter Pays principle in cases that result in marine pollution by oil. Polluters also carry out compensation for affected countries by using prices prevailing in the market, taking certain actions and implementing restoration of environmental functions. It was concluded that the application of the Polluter Pays principle is quite effective in dealing with pollution at sea, so that the application of the Polluter Pays principle needs to be fully enforced in marine environmental disputes.
PEMBANGUNAN JURASSIC PARK DI PULAU KOMODO BERDASARKAN WORLD HERITAGE CONVENTION 1972
Authors: Irfanto Norchamahdi  , Amalia Zuhra
Published: August 2023

In 2020 a Geopark will be built that carries the Jurassic Park concept which has caused a lot of polemic in the community, whether the development is said to violate the provisions of the World Heritage Convention. This requires the government to make efforts to preserve the Komodo dragon as an endangered species. The problem is whether the construction of the Komodo Island Jurassic Park violates the provisions of the 1972 World Heritage Convention and what efforts need to be made to protect and preserve Komodo dragons? The article is normative research methods were carried out. Data processing is done qualitatively and conclusions is done using deductive methods. The results of the research and discussion are that the development of the Komodo National Park is an integrated and well-planned planned infrastructure regeneration which includes the design of areas, routes, supply of clean water, waste management, cleaning, and rejuvenation of human settlements. Jurassic Park Komodo National Park will not have a negative impact but a positive impact because the goal is to protect the diversity of the earth through conservation. 5 of 1990 concerning the Conservation of Living Natural Resources and their Ecosystems.
PENGGUNAAN SURAT IZIN PENANGKAPAN IKAN (SIPI) PALSU OLEH KAPAL ASING PENANGKAP IKAN
Authors: Alika Shanya Deivira Nofendi  , Untari Indah Artati Sri
Published: August 2023

Every fishing activity requires a fishing permit (SIPI), yet as determined by Decision Number: 08/Pid.Prkn/2011/PN.TPI, foreign vessels continue to engage in fishing using forged licenses. The formulation of the issue in this study is compatibility between the legal repercussions for foreign ships that violate the SIPI falsification laws in the decision number 08/PID/PRKN/2011/PN.TPI and Law no. 45/2009 concerning amendments to Law no. 31/2004 concerning Fisheries, as well as what challenges foreign-flagged vessels encounter when making SIPI in order to use fake SIPI. Normative legislation is the study methodology used, using secondary data backed up by primary data. analysis of qualitative data leading to deduction. The study's findings and commentary demonstrate that from the conclusions of Article 94A jo. 28A Point B Law no. 45/2009 regarding changes to Law no. 31/2004 the fines imposed by the judges were not optimal and the constraints experienced by foreign-flagged vessels for fishing activities, since 2007 the Government of Indonesia has issued a policy regarding not extending fishing permits for foreign-flagged vessels.
PEMBERIAN SANKSI BERUPA PEMBEBASAN JABATAN OLEH BUPATI DI KOTAWARINGIN TIMUR KALIMANTAN TENGAH
Authors: Ernawati  , Pamungkas Yogo
Published: August 2023

Sanggul is a State Civil Apparatus who has brought the "Decree of the East Kotawaringin Regent Concerning Disciplinary Punishment for Exemption from Position" to the Palangkaraya State Administrative Court as the subject of the dispute. The issue with this article is that the steps used by the Kotawaringin Timur regent to inspect Sanggul and impose sanctions on his dismissal from office in Decision 3/G/2021/PTUN.Plk were not in accordance with the steps outlined in PP No. 53/2010 on Civil Service Discipline. The research methodology employed is normative juridical, which analyzes primary and secondary evidence before drawing inferences based on qualitative analysis. The findings of this study show that the Kotawaringin Timur regent's methods for applying disciplinary sanctions were procedurally faulty since they did not follow the PP above. According to the study's findings, because the Kotawaringin regent did not follow the inspection procedure exactly as required by the government regulation on civil servant discipline, he was deemed careless and negligent in carrying out the administrative stages. The East Kotawaringin regent then brought about the repercussions of not achieving the requirements of Articles 23 and 24 of the PP above.
TINDAK PIDANA PENCUCIAN UANG SEBAGAI FOLLOW UP CRIME DARI TINDAK PIDANA PERJUDIAN (STUDI PUTUSAN NO 40/PID.SUS/2020/PN.JKT.SEL)
Authors: Putri Tari Septiani  , Widjajanti Ermania
Published: August 2023

ABSTRAK

Pencucian uang disebut sebagai uang kotor (dirty money). Seperti halnya dalam kasus pencucian uang yang dilakukan Para Terdakwa yaitu Terdakwa I Muslimin, Terdakwa II Kurnia, Terdakwa III Edi melakukan pencucian uang dengan cara menerima transferan dari Barta seorang (DPO), uang tersebut hasil dari perjudian. Permasalahan yang diangkat yaitu Apakah tindak pidana pencucian uang dalam kasus tersebut bisa dikatan sebagai  follow up crime dalam tindak pidana perjudian ? dan Bagaimana pemberian sanksi pidana kepada Para Pelaku tersebut?Metode yang digunakan adalah penelitian hukum normatif yang bersifat deskriptif analitis dengan menggunakan data sekunder, Pelaku Muslimin bisa dikatakan pelaku tindak pidana pencucian uang sebagai pelaku pasif karena muslimin hanya menikmati atau menerima hasil kejahatannya saja. Para Terdakwa adalah pelaku pasif yang hanya menerima transferan.
ANALISIS YURIDIS RUANG TERBUKA HIJAU TERHADAP PENCEGAHAN BANJIR DI SEBAGIAN JAKARTA BARAT
Authors: Nadya Rahma Putri  , Hasni
Published: August 2023

Public and private green open space are the two categories that make up green open space. The 2007 Law on Spatial Planning Number 26 regulates the percentage of green open space that urban areas must own. How can efforts be made to obtain at least 30% green open space in the West Jakarta region and how is the availability of public green open space for flood prevention in some areas of West Jakarta formulated as the problem? Utilizing normative and descriptive analysis techniques on two types of data-namely, secondary and primary data-in this study. Additionally, the analysis was conducted utilizing qualitative techniques, and results were reached using deductive reasoning. The findings of the study Discussion explain that the West Jakarta region's green open spaces still fall below the recommended minimum of 30%, making it impossible for them to effectively and efficiently serve as water catchment areas to prevent flooding in some regions of West Jakarta. The amount of green open space in West Jakarta is currently 8.64%, which is far below the existing target of at least 30%. As a result, green open space cannot currently prevent flooding in some areas of West Jakarta, and the Regional Government is making efforts to achieve the minimum target of 30% green open space, including land acquisition.
TINDAK PIDANA PRAKTIK KEDOKTERAN TANPA IZIN PRAKTIK
Authors: Winda Ayu Setyowati  , Norbert Tanto Harjadi
Published: August 2023

Tindak Pidana Kedokteran adalah kejahatan dan pelanggaran dalam lingkup kedokteran. Heny Desrityani melakukan tindak pidana penipuan, pemalsuan surat, dan tindak pidana kedokteran. Rumusan Masalah dalam penelitian ini adalah Apakah Perbuatan Terdakwa Sesuai dengan Pasal 77 dan Pasal 78 Undang-Undang No. 29 Tahun 2004 dan Apakah Perbuatan Tindak Pidana lain yang dilakukan oleh Terdakwa. Penelitian ini diperoleh melalui studi kepustakaan, sedangkan sifat penelitiannya deskriptif analisis. Dari hasil penelitian dan pembahasan, terdakwa terbukti melakukan tindak pidana kedokteran dengan menggunakan gelar dokter dan alat serta metode kedokteran; Terdakwa juga melakukan tindak pidana penipuan dan pemalsuan surat. Yang menghasilkan kesimpulan bahwa terdakwa hanya dikenakan satu pasal karena ada Asas Lex Specialis Derogat Legi Generali dan dalam hal ini pidana yang dijatuhkan terbilang ringan dan tidak sesuai dengan tujuan pemidanaan yang ada