During the Covid-19 pandemic, it is mandatory for every education unit to implement the PJJ system. This causes various problems, including a decrease in students' learning motivation. This study aims to determine the application of e-Student Worksheet Live Worksheet in learning to increase learning motivation in Grade II elementary school students. The approach used is a qualitative approach. The type of research used in this research is Classroom Action Research (CAR). The subjects used in this study were educators and class II students at Kraton Elementary School , Kediri Regency. The data collected in this study is the data of the thematic learning implementation process using the e-Student Worksheet Live Worksheet. The results showed that the use of e-Student Worksheet Live worksheet can increase teacher activities and student activities in learning activities and can increase students' learning motivation. For teachers, teachers should make variations in learning activities. One of them is by applying learning media in the form of e-Student Worksheet Live worksheet so that students do not get bored following learning activities and can be actively involved in learning activities.

This research aims to determine the effectiveness of anti-lead mask from water hyacinth on cigarette industry employees in Malang city. By applying experimental research methods carried out on 82 workers from the 'X' cigarette factory, members of the Association of Cigarette Companies (Gapero) Malang Raya divided into 2 groups (experimental control and group), it is found that the Cigarette Industry Workers are given a mask made of water hyacinth as a filter for a group that is not given special treatment. After 2 months, the blood lead levels of cigarette factory workers are measured again and found that there is an increase in the number of factory workers with tolerable lead levels from the previous 27 people (65.85%) to 38 people (92.68%), or it can be interpreted that only 3 workers (7.32%) have excess blood lead levels in the experimental group.

Stroke is the main cause of disability and death in the world, which can make sufferers experience a decrease in quality of life, such as common problems from stroke are balance disorders, endurance, walking speed, cognitive function and walking ability. This study aims to determine the effect of task-oriented gait. training on changes in balance, endurance, walking speed, cognitive function and the ability to walk in post stroke patients. This research is a quasy experimental research with a pre-test-post-test two group design approach. This study evaluated the balance, endurance, walking speed, cognitive function and walking ability of post-stroke patients. This research was conducted at RSKD South Sulawesi (Stroke Center) Makassar and RSUD Haji Makassar with a total sample of 15 patients aged 40 years and over, diagnosed with post stroke movement function disorders, confirmed medical records that were scheduled to undergo physiotherapy. Samples were taken using purposive sampling method. Balance is measured by the Berg Balance Scale (BBS), endurance is measured by a 6-minute Walk Test (6MWT), walking speed is measured by a 4-meter Timed Walk (Gait Speed Test), and walking ability is measured by Modified Functional Ambulation Categories (mFAC). Measurements were made before the intervention and after the treatment group and the control group. The results of the intervention group study showed that Task-Oriented Gait Training gave significantly better resultsthan the control group.

Diagnostic codification must fulfill 10 characteristics of quality data, namely one of which is accurate, namely the truth and validity of data values. External Causes are external causes of fracture cases which classify based on the place and activity of the incident. It is very important that external causes codes are documented in medical record files for financing analysis, health services and reporting. The purpose of this study was to determine the accuracy of the fracture diagnosis code and external causes at Mardi Waluyo Hospital, Blitar City in 2021. The research method used a retrospective descriptive. The sampling technique is simple random sampling, with 52 samples. The implementation of coding at Mardi Waluyo Hospital, Blitar City, was carried out by coder officers and was in accordance with the policies and standard operating procedures at the hospital. The level of accuracy of the fracture diagnosis code with a percentage of 85% is included in the category that needs improvement and external causes with a percentage of 6% is included in the unsatisfactory category. The inaccuracy of the external causes code is caused by the use of the 5th character or the activity code that has not yet been coded. The inaccuracy of the officers in coding caused the resulting code to be inaccurate, so it was suggested that filling out medical record documents must be filled in completely and clearly to support proper and accurate coding of fractures and external causes so as to produce a better percentage of accuracy.

The COVID-19 pandemic is becoming an international threat. In order to overcome this, the Indonesian government has implemented a social distancing policy. However, the realization of the policies that exist to date has not run uniformly in relation to social distancing and social assistance that has not been received directly by the community. Therefore it is necessary to control the implementation process of policies that have been issued by the Government. This research is a normative legal research and empirical law with a normative juridical approach. The data obtained in this research is in the form of literature study and interviews. The data that has been collected is then presented in the form of descriptions which are arranged systematically following the flow of systematic discussion.

Plants are constantly exposure to pathogens such as virus, bacteria and fungi. Plant diseases caused by pathogens lead significant crop yield loss globally. Numerous researchers have been studying how to reduce the damage of plant diseases. Plant disease has long been one of the major threats to agriculture security in India because it dramatically reduces the crop yield and compromises its quality. Pests and Diseases results in the destruction of crops or part of the plant resulting in decreased food production leading to food insecurity. Accurate and precise diagnosis of diseases has been a significant challenge. Traditionally, identification of plant diseases has relied on human annotation by visual inspection. Plant diseases affect the growth of their respective species; therefore their early identification is very important. Modern technological approaches such as machine learning and deep learning algorithm have been employed to increase the recognition rate and the accuracy of the results. Various researches have taken place under the field of machine learning for plant disease detection and diagnosis, such traditional machine learning approach being random forest, artificial neural network, support vector machine(SVM), fuzzy logic, K-means method, Convolutional neural networks etc. In this paper a comparative study on machine learning techniques for plant disease detection is performed. In this survey it observed that Convolutional Neural Network gives high accuracy and detects more number of diseases of multiple crops.

Malpractice cases are a crime that is very common in Indonesia. Malpractice is basically an act of a professional that is contrary to standard operating procedures (SOP), code of ethics, and applicable laws, whether intentional or as a result of negligence that results in loss or death to others. Aspects of legal protection for patients who are victims of malpractice by doctors based on Indonesian law, namely : preventively with the existence of regulations governing malpractice, namely in the Civil Code (KUH Perdata), the Health Law, the Consumer Protection Law, the Medical Practice Law, and the Legal Code, Penal (Penal Code) and repressively the lack of action resulted in a loss, the person who performed the action imposed sanctions in the form of civil sanctions, namely to compensate both the administrator sanctions and criminal sanctions.

The Right to education is one of the basic fundamental rights upheld by the constitution of India to every child. Children with special needs face massive challenges in being able to access education equitably due to various reasons viz. a rigid curriculum, non-accessibility, untrained teachers, bullying, and attitudinal issues. The new NEP (National Education Policy) 2020 seems to bring across many progressive steps which when clubbed with the RPWD (Right of Persons with Disabilities) act 2016 offers hope for children with special needs. In this article, we try to examine the various provisions outlined in the new NEP 2020 in the backdrop of RPWD 2016. An understanding of which will lead to predicting the barriers and gaps one can come across in the future during implementation at the ground level. Something which remains a challenge for a country like India with the best policies yet few actions.

The purpose of this research is to find out the efforts to increase under- satnding of pregnant women related to covid-19 prevention and distribution of masks in Karang village temu, health center working area of lingsar district, west lombok. by using a community-based intervention method carried out in Batu Mekar Village, Lingsar District, West Lombok Regency. Efforts to increase understanding of pregnant women about Covid-19 prevention and distribution of masks through classes for pregnant women In Batu Mekar Village, the working area of the Lingsar Health Center, the results were that pregnant women understood Covid-19 prevention, and understood the benefits and how to use masks.

Employees are essential to the attainment of an organization's objectives, vision, and mission. Employees are essential to a business, hence the corporation must prioritize their requirements. Several issues arose. The employees' performance deteriorated because of insufficient remuneration. Several individuals did not fulfill their responsibilities punctually, leading to a reduction in their job output. The corporation offered incentives to improve their job performance. This research will investigate the correlation between incentives and employee work performance. The author will utilize all of them as a sample for this investigation. This procedure is termed census sampling. The study substantiates the efficacy of Variable X (incentive) and Variable Y (workers' job performance). The reliability test further validates the results' dependability. The correlation coefficient is 0.73. This indicates a robust correlation between incentives and employee work performance. The hypothesis test produced a score of 4.53, demonstrating that the tcount surpasses the ttable (2.101). Consequently, we may exclude the null hypothesis (H0), which posits that no correlation exists between incentives and employees' job performance. This indicates a substantial correlation between the incentive (variable X) and workers' job performance (variable Y). This research shows that a correlation exists between incentives and workers' job performance. The incentive was a contributing factor to the enhancement of employee performance, while other elements, such as working environment, also had a role.