ABSTRACT
The development of profits generated by the company illustrates the company's success in carrying out operational activities and becomes a measuring tool for investors in making decisions. The purpose of this study is to determine the Cost-Volume-Profit Relationship and Sales Mix Concept in Pharmaceutical Companies in Indonesia. CVP analysis examines the behavior of total revenue, total cost, and operating profit as changes that occur in units sold, selling price, variable costs per unit, or fixed costs, and sales mix is the relative proportions in which a company's products are sold. Different products have different selling prices, cost structures, and contribution margins. To analyze fairness, disclosure, and future trends in accounting for Pharmaceutical Companies, a qualitative descriptive approach was chosen. The fundamental characteristic of the qualitative descriptive method is the use of naturalistic data or non-numeric data without variable intervention. Descriptive approach is also known as case study research, which involves studying a particular situation to find out whether a general theory can emerge from the research, or whether an existing theory emerges from a particular situation. The profit target has shrunk sharply when compared to during the COVID-19 pandemic. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
ABSTRACT
This study seeks to determine how the Indonesian stock market reacts to COVID-19, monetary policy, and other macroeconomic variables. The data used is, therefore, from March 2020 to December 2021. First, using the ARDL bounds testing approach, the influence of COVID-19 on the stock market was analyzed before and after the public vaccination of the stock market. This study then explores the stock market's reaction to monetary policy changes. According to the findings of this analysis, Covid-19 had a significant impact on the Indonesian stock market before vaccination, but after vaccination, it had no significant effect on the Indonesian stock market. During the COVID-19 period, monetary policy substantially impacted the Indonesian stock market. This is the first study to assess the influence of COVID-19 on Indonesian stock market performance before and after immunization. The performance of the stock market improves after receiving the vaccine. This demonstrates that the vaccine was effective. In addition to considering tiny towns' health and economic elements, researchers urge that the government create additional measures. In addition, expansionary monetary policy must employ the concept of prudence so as not to precipitate another crisis. © 2022 asociación Cuadernos de economía.
ABSTRACT
The lack of public awareness of wearing masks during the COVID-19 pandemic is one of the causes of the high number of Covid-19 cases in Indonesia. Since the beginning of June 2020, the government has set a New Normal phase. This is done to restore the economy and prevent the spread of the COVID-19 pandemic. During New Normal, activities can still run by implementing health protocols by requiring masks to be worn. Currently, the detection of masks is still done manually by security officers because of the fatigue factor, so that human errors often occur. To overcome this, an automatic system is needed to detect people wearing masks and not wearing masks. In this study, a mask detection system was made using the haar cascade classifier method by utilizing machine learning, image processing, and the internet to facilitate connectivity. The result of this research is an internet of things-based mask detection system using the haar cascade classifier method that runs on a raspberry pi to monitor and distinguish between people with masks and not masks in various light conditions with the help of an additional IR (Infrared) module on the camera. If a person is detected who is not wearing a mask, the program will automatically capture it, and an alarm will sound and send the captured results to the telegram bot. The resulting performance is when the video stream reaches 12-60 fps, the system can run well without stuttering even during the video stream. The connection speed to the telegram bot got excellent results without any delay with an average time of 0.001695977 seconds with a maximum detection distance of 1.2 meters. © 2021 IEEE.
ABSTRACT
In the case of handling the COVID-19 pandemic in Indonesia there is a 3T (Testing Tracing Treatment) movement promoted by the government to reduce the impact of the spread and transmission of COVID-19. For tracing there are currently no Information Technology-based applications or services that can assist the public in simulating the tracing of the spread of COVID-19 from one location to another location and providing disaster mitigation education to users through suggestions provided by the application after the tracking process. For this reason, this study was designed and implemented using a web-based Artificial Intelligence (Breadth-First Search) algorithm called Indonesia BFS COVID-19 (IBC). This research uses Design Science Research Methodology (DSRM) and tested using BlackBox Testing. From the testing results it is concluded that the application can simulate the process of tracing the spread of COVID-19 in Indonesia well based on the starting point and destination and users can gain an understanding of disaster mitigation education from the advice given by the post-tracing application as part of 3T to help decide the impact of the spread of COVID-19 in Indonesia.
ABSTRACT
The Coronavirus outbreak is now a problem for the world community. Not only has the potential to interfere with health the Coronavirus often causes panic. In fighting the SARS-CoV virus that causes the COVID-19 pandemic a qualified body defense is needed. Although some local governments implement quarantine policies to prevent people from being exposed to the risk of the COVID-19 virus not all people can carry out quarantine at home because of work demands. Therefore, efforts are needed to increase endurance. In addition to workers who are required to continue working even though they have to be quarantined at home the elderly and also children whose immune systems are still vulnerable or have decreased need to increase their immune system. The easiest way to increase body resistance is to bask in the sun. Sunbathing can be done directly outside the house and can be directly exposed to sunlight but for some people whose body conditions are not as strong as young people for example the elderly people with special needs are vulnerable suffer from dust allergies and so on this will cause new problems. So, for some people who cannot go outside directly or who are less flexible they still need sunlight for sunbathing. One way is to enter sunlight through the window openings in the house. This research was conducted with the main objective of creating a prototype or prototype window for the sunroom in the building to increase the body’s immunity using the DiaLux software. The research method used in this study is a quantitative research method with an experimental approach. The stages of this research are in the form of;i) theoretical study ii) data observation iii) calculation iv) window prototyping v) analysis and synthesis v) simulation vi) research result generation and conclusion drawing. The result of this research is a prototype window for human sunbathing space which is expected to accommodate or provide human sunbathing space in increasing body immunity. The window prototype in the sunroom that most maximally includes natural light with a lighting intensity value of 8701 lx namely prototype window 3 which is a window or opening on the roof of a building with dimensions of 1.20 m x 0.83 m. By providing a multifunctional sunbed it can be an architectural solution to increase the body’s immunity to prevent the outbreak of the COVID-19 virus.
ABSTRACT
PT. X reduced the drug packaging operators due to the Covid-19 pandemic. As a result, the workload they got was heavier than usual, the work posture which not following to the standards, and caused excessive fatigue for these operators. The results of systematic scientific research of Global Burden of Disease (GBD) states that one of the mains causes of lost life due to a disability (Years Lived with Disability) in Indonesia had caused by MSDs (Musculoskeletal Disorders). The purpose of this research was to analyze the work posture of PT. X's drug packaging operators so that they can anticipate muscle injury problems if the operator continues to apply for an ineffective work posture. The REBA (Rapid Entire Body Assessment) method being used to find out postural disturbances that occurred. The research was conducted by interviewing, recording, and taking photos at the drug packaging operator Line 1 at PT. X must be analyzed so that a suitable fixing or solution can be applied. And the results obtained through REBA analysis get a final value of 4, which means they got the medium level of risk activities category in Line 1 PT. X requires further research and recommending a right manual handling way to improve the operator's work posture.