This article analyzes the movement of the Composite Stock Price Index (IHSG) in Indonesia during the Implementation of Restrictions on Community Activities (PPKM) in 2021. PPKM is a government regulation to deal with the Covid-19 pandemic. Before the implementation of PPKM, the government had implemented large-scale social restrictions implemented in several regions in Indonesia. The policy implemented by the government is considered to have an impact on the decline in people's purchasing power, which has just shown recovery and has an impact on several sectors of the stock market in Indonesia. It is necessary to analyze to determine the effect of implementing community activities on the joint-stock price index in 2021. This study uses an exploratory descriptive type of research. Observations were made by analyzing the composite stock price index (IHSG). Based on the results of the discussion that has been analyzed, it can be concluded that during the implementation of restrictions on community activities (PPKM) the IHSG value tends to experience a difference every month but shows a positive trend which closed at the level of 6,600.68, which was an increase of 10.4 percent compared to the 2020 closing position. which is at 5,979.07.

This study aims to examine the effect of tax management, profitability, liquidity, leverage, and firm size on firm value in property and real estate companies listed on the Indonesia Stock Exchange in the 2016-2020 period. The sampling technique in this study used a purposive sampling technique. The data used is secondary data in the form of company financial statements obtained from the official website of the Indonesia Stock Exchange, namely www.idx.co.id. The number of samples used in this study were 74 companies. The results obtained in this study are tax management, liquidity, leverage have no effect on firm value. However, profitability and firm size have a positive and significant effect on firm value.

This study was conducted to determine the factors that influence the dependent variable, namely tax avoidance. The independent variables used in this study are profitability, executive compensation and capital intensity. The research data used is secondary data taken from the annual report on the Indonesia Stock Exchange (IDX) for 2017-2020. The population of this research are property and real estate companies. Based on the purposive sampling method, the researches obtained 136 samples from 34 companies for 4 years, namely 2017-2020. This study uses panel data analysis techniques and Eviews program tools. The results obtained show that the executive compensation variable is a factor that influences the dependent variable in this study. Executive compensation has a significant positive effect. Meanwhile, the factors that do not affect tax avoidance are profitability and capital intensity variables.

Financial statements are very important for investors for making investment decisions. Financial ratios are very useful for predicting the stock price in an enterprise in the future. This is because financial ratios can be used as guidelines for investors regarding the past and future performance. The research data used is secondary data taken from the annual report on the Indonesia Stock Exchange (IDX) for 2018-2020. The population of this research is manufacture companies. Based on the purposive sampling method, the researches obtained 438 samples from 146 companies for 3 years, namely 2018-2020. This study uses panel data analysis techniques and SPPS. The results obtained show that the liquidity variable is a factor that influences the dependent variable in this study. Liquidity has a significant positive effect. And Leverage has a significant negative effect. Meanwhile, the factors that do not affect stock return are profitability and activity variables.

Bricks are an important element in the construction of a building. In the sub-district of terraces, bricks are still done manually in the traditional way. The bricks themselves are part of MSMEs, therefore this study aims to determine how much influence the variables, capital, production costs, The number of workers, and the level of education on the income of MSMEs in Terrace District. The data used in this study are primary and secondary data. The analytical tool used is multiple linear regression analysis, with the results that the capital variable does not significantly affect the income of the brick MSMEs used. is in the Terrace sub-district, the production cost variable has a significant positive effect on the income of the brick SMEs in the Teras sub-district, the variable number of workers has a significant positive effect on the brick MSME income in the Terrace sub-district and the education level variable has no significant effect t to the income of brick SMEs in Teras District.
 

The Jakenan-Winong road is a regional link between the Jakenan area and the cities of Pati and Juwana. Due to the high mobilization of vehicles due to the repair of the Pati Rembang road on this road section, not a few damage to the concrete surface (rigid pavement) has occurred, one of the causes of which is the overload of large vehicles. From the known problems, this research was conducted to identify whether the damage that occurred could affect road performance on that road section. Data analysis used the 1997 Indonesian Road Capacity Manual (MKJI) method to determine traffic performance. From the research results, it can be seen the level of road performance on Jakenan Winong streat, Pati City during morning peak hours, noon peak hours, and evening peak hours, the level of service is in category B.  From the research results it can also be seen that the damage that occurred on the Jakenan -Winong road section did not affect the level of road performance.

The mask and body temperature detection system for public places is still operated manually. The system was found not to adjust to the conditions of office employees, which required them to always be on guard and check the body temperature of every employee who would enter the office. Therefore, a mask and body temperature detection system was designed as a prerequisite for internet of things-based attendance that can make it easier for office employees to check the body temperature of everyone who will work, and so that employees can be disciplined in time. This system requires a temperaturesensor to detect the body temperature of people who will enter. A person's body temperature is said to be normal if it is lessthan 37.20C. If the temperature exceeds 37.20 C, then a person cannot take attendance. In addition to having a normal body temperature, the second requirement must be met, namely passing mask detection. Someone must wear a mask before entering the room, before taking attendance using a fingerprint. Arduino Uno will send data from the temperature sensor to the database and a 16x2 LCD, so that the system can be connected to the web which can be monitored by the administrator to get data on the number of office employees based on body temperature. In addition, a Raspberry Pi is used which will senddata from the webcam as a result of the mask detection image processing. The results of this final project indicate that the data sent to the web is in accordance with the data based on testing tools.

AbstractThis study aims to evaluate the implementation of the "MyGlucose" telemedicine system application in the Gunungpati society, Semarang City, which is used to remotely monitor blood sugar levels in diabetic patients as well as oxygen saturation and body temperature. The method used in this research is to develop the MyGlucose application which consists of measuring blood sugar, SpO2, and body temperature connected to the patient's mobile device and software on the health care provider's side. The research sample consisted of 44 respondents who used the MyGlucose application for the last two months. The results showed that the majority of respondents felt that the MyGlucose application was very helpful in monitoring their blood sugar levels independently without having to visit a doctor regularly. This application also assists patients in monitoring blood sugar levels, as well as providing information about health in the article menu available in the application. Therefore, efforts are needed to improve accessibility and education related to the use of the MyGlucose application in the people of the Gunungpati area, Semarang City. In conclusion, the telemedicine system application "MyGlucose" can be an effective alternative in monitoring blood sugar levels, oxygen saturation and body temperature of diabetes patients independently and helping patients consult a doctor without having to go to the hospital.                        

Floods are natural disasters that often occur in the DKI Jakarta area. DKI Jakarta government needs to anticipate the impact of the flood disaster by estimating the number of people affected by the flood. The number of people affected by floods that are uncertain every month can be predicted for the future. There are many ways that can be predict the number of people affected by floods, one of them is artificial neural network method. One of learning algorithms in artificial neural networks is backpropagation algorithm. This research applies an artificial neural network method with backpropagation algorithm to predict the number of people affected by floods in DKI Jakarta. In this research, training process was carried out 100 times on each network architecture (12-10-1, 12-12-1, 12-14-1) with several parameters such as epoch, momentum constant, and learning rate. The best results in the training process are carried out to testing process to test the network. In the testing process, the best results are 12-10-1 architecture with an accuracy rate 98.704%. Based on these results, it can be said that this network can predict well and can be implemented for forecasting the number of people affected by floods in DKI Jakarta.

Currently, the determination of achievement students by SMK Walisongo Semarang is still manual. This takes a long time and a low level of accuracy because it is possible to miss observations of the criteria of prospective students. A decision support system for selecting achievement students is needed that can produce an accurate ranking of an assessment using the Promethee algorithm. The preference Ranking Organization Method For Enrichment Evaluation, commonly abbreviated as Promethee, determines the order in a multicriteria analysis. With this application, it is expected to assist the school in making decisions about choosing outstanding students with predetermined points and value limits.