Every company should try to develop the quality of human resources as the basic foundation for running the company's processes. In fact, only companies that pay attention to the quality of human resources can continue to survive business competition. The quality of human resources in the company is monitored through its behavior and job performance. One way to control employee behavior is through disciplinary programs. Besides that, it is also necessary to create a conducive working environment through good working communication among members of the organization. This study aims to analyze and discuss the effects of discipline and communication on job performance. The sampling technique uses non-probability sampling method with total sampling technique. The population in this study is the community, with a total sample of 93 respondents. The analysis tool used is multiple linear regression with the help of SPSS 24.0 for Windows software. The results of the study show that discipline and communication have a significant positive effect on job performance.
ABSTRACT Improving the quality of human resources is focused on a variety of things that can affect job performance. There are two variables that are thought to have contributed to the formation of job performance, namely the work environment and organizational culture. This study aims to analyze and determine the effect of the work environment and organizational culture on job performance. The research will be conducted in one of the micro businesses in Kranggan District, Mojokerto Regency which involves 25 employees to be involved as respondents. Multiple linear regression analysis is used as an analytical tool to prove the research hypothesis. The research findings suggest that (1) the work environment has a significant effect on job performance; (2) organizational culture has a significant effect on job performance; and (3) work environment and organizational culture simultaneously have a significant effect on job performance. Keywords: work environment, organizational culture, job performance
We report a series of small molecule proteolysis-targeting chimeras (PROTACs) that target the protein kinase p38α for degradation. These PROTACs are based on a ligand of the VHL E3 ubiquitin ligase, which is linked to an ATP competitive inhibitor of p38α. We provide evidence that these compounds can induce the specific degradation of p38α, but not p38β and other related kinases, at nanomolar concentrations in several mammalian cell lines. We also show that the p38α-specific PROTACs are soluble in aqueous solutions and therefore suitable for their administration to mice. Systemic administration of the PROTACs induces p38α degradation only in the liver, probably due to the PROTAC becoming inactivated in that organ, but upon local administration the PROTACs induce p38α degradation in mammary tumors. Our compounds provide an alternative to traditional chemical inhibitors for targeting p38α signaling in cultured cells and in vivo.
The National positivity rates reached 14,1 percent in September 2020. More than 4000 cases were confirmed in a day, pushing the government to implement a strict policy that potentially creates pros and cons and may trigger social movement in the affected society. In the theoretical framework, the social movement started in four main stages: emergence, coalescence, bureaucratization, and decline. The polarization of the movement is usually started by the grassroots actors towards a common interest. This research aimed to analyze the social movement's pattern and characteristics in the digital sphere by using the Social Network Analysis (SNA) method. It particularly seeks to understand the conversation network and involved actors by analyzing the Twitter dataset containing 36,929 tweets, with "COVID19Indonesia," "Inpres" and "Pemerintah" words, obtained from July to September 2020. The RStudio Tools used to conduct sentiment analysis to gather people's responses to the COVID-19 related policy, and Gephi Mapping Software to identify the conversation pattern between related actors. The research findings are that government-related accounts can be identified as a conversation starter. A key-person like @Fadlizon can be identified as an influencer. The mainstream media can be identified as active engagement, while ordinary people can be identified as the network builder. The conversation networks, which the government and mainstream media led, successfully triggered a social movement to support a positive public opinion about the Government Policy to Fight COVID-19 Pandemic. The sentiment analysis concluded that 65 percent responded positively, 18 percent neutral, and only 10 percent responded negatively to the government policy during the COVID-19 pandemic. The findings show the opposite aspects compared to the social movement theory. Firstly, the key actors and movement polar are dominated by the government-related and mainstream mass media to support the government policy itself, not from the grassroots actors. Secondly, Involved actors are borderless, who came from many different backgrounds and separate into a smaller conversation network to support common goals. However, the main social movement pattern is still relevant to the main stage. It started with emergence, coalescence, bureaucratization and ended with a decline stage. The new phenomenon discovered is that the digital social movement is coming from the people against the government policy or the government to influence public opinion.
This research aims to find out the feasibility of mobile learning product. This research refers to the development model by Alessi & Trollip. The procedure of mobile learning development consists of (1) planning, (2) designing, and (3) developing that was equipped with component attributes including standards, ongoing evaluation, and project management. The product testing consists of alpha test assessed by media experts, material experts, and instructional experts, while, the beta test involvs impairment students. The data collection techniques used questionnaire. The instrument of data collections used questionnaire. The data analysis techniques used descriptive analysis techniques. The research results showed the feasibility of the product was considered as highly-feasible based on the assessment of media experts, material experts, instructional experts, and the first students’ responses.
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