Publication Search

Coloring materials for fabric painting can be produced from natural dyes and synthetic dyes. Natural and synthetic dyes have their respective advantages and disadvantages. The combination of the two colors will give the impression of a brighter color, and slightly reduce environmental pollution. The objectives of this research are: 1) Knowing the processing of synthetic and natural dyes for fabric painting; 2) Knowing the results of applying synthetic and natural dyes to fabric painting. The method used in this research is the research and development approach model Research and Development (R&D) and data analysis. Trials in this study were carried out with dye using 4 types of cloth with the help of a validator as an assessor of the coloring results. The results of this study indicate that synthetic dyes are lighter than natural dyes. Meanwhile, the colors produced from natural dyes tend to be darker. In painting this cloth, the writer needs a combination of dark and light colors. Therefore, the use of synthetic and natural dyes requires mixing of colors. The fading test conducted by the author for the color absorption of diamond crape on the fabric is very good. Thus it can be concluded that the use of natural and synthetic dyes can be applied to fabric painting by conducting trials first to get the right color.

Background: MPASI is a food transition from breast milk to family food. Giving MPASI should be given to infants aged 6-24 months in stages both from the texture and number of portions. Proper provision of complementary feeding can lead to nutritional problems in infants. Proper processing and administration of MPASI, mothers are required to have sufficient knowledge so that they can create healthy babies. Objective: to describe the knowledge of mothers about nutritious food and complementary feeding in infants aged 6-12 months. Method: This study uses an explorative descriptive design. The technique of taking respondents of this study was purposive sampling with a total sample of 25 mothers who had babies aged 6-12 months in Posyandu Dusun Kangin, Tusan Banjarangkan Klungkung Village. Data collection tool in the form of a closed questionnaire. Data analysis uses univariate analysis on a qualitative scale. Results: the study showed the characteristics of respondents, most of whom were aged 21-25 years (56%), working (56%), elementary education (44%), and the level of knowledge of mothers in the less category (40%) Conclusion: This study found that most levels of maternal knowledge about nutritious food and complementary feeding were lacking (40%), so further research is needed on the provision of MPASI    

Diabetes is a serious chronic disease that occurs because the pancreas does not produce enough insulin (a hormone that regulates blood sugar or glucose), or when the body cannot effectively use the insulin it produces. WHO data shows that the incidence of non-communicable diseases in 2004 reached 48 , 30% is slightly higher than the incidence rate of infectious diseases, namely 47.50% [1]. According to the Ministry of Health in 2012 diabetes caused 1.5 million deaths. Some Indonesian people, this disease is better known as diabetes or blood sugar. This research was developed through secondary data processing from the Pima Indians Diabetes Dataset health database which was taken from the Kaggle dataset and can be accessed through https://www.kaggle.com/uciml/pima-indians-diabetes-database. Where the data itself consists of 768 records with several medical predictor variables (Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, Age and Outcome). Then the data will be processed using the Particle Swarm Optimization (PSO) feature selection to increase the accuracy value and the Naive Bayes algorithm to determine the accuracy results of the diagnosis of diabetes. From the results of research that has been done for the accuracy of the classification algorithm Naive Bayes is 74.61%, while the accuracy of the classification algorithm with Particle Swarm Optimization is 77.34% with an accuracy difference of 2.73%. So it can be concluded that the application of the Particle Swarm Optimization technique is able to select attributes in the Naive Bayes Algorithm, and can produce a better level of diabetes diagnosis accuracy than using only the individual method, namely the Naive Bayes algorithm. Keywords: Diabetes, Particle Swarm Optimization, Naive Bayes Algorithm

This thesis contains a study of how BPR financial ratios are Current Asset Ratio (CAR)/ Minimum Capital Requirements (KPMM), Non-Performing Loans (NPL), Net Interest Margin (NIM), Operational Costs Operating Income (BOPO), and Loans to Deposit Ratio (LDR) affects the level of profitability projected by the Return on Assets (ROA) ratio. In this study CAR/ KPMM, NPL, NIM, BOPO and LDR as independent variables, while ROA as the dependent variable. This study uses sample data from the financial statements of Rural Bank (BPR) in Semarang City registered with the Financial Services Authority (OJK) in 2016 to 2018. Sampling from the OJK website (www.ojk.go.id) and using the Purpossive method Sampling. There are 23 BPRs that meet the criteria as research samples. The sample data is processed using Microsoft Excel and SPSS 19. The analytical method used for data processing in this study is the Multiple Linear Regression Analysis Method. The results of the data processing in this study indicate that CAR / KPMM and NIM have a significant positive effect on ROA, BOPO has a significant negative effect on ROA and NPL, and LDR does not significantly influence ROA  Key Wor : Rural Credit Banks (BPR), ROA, CAR/KPMM, NPL, NIM, BOPO, LDR

Study This goal is to ascertain how return on investment affects the share price of PT Astra International. Time frame for the study: this covers the years 2013–2018. population studied This is a mining company that is listed on IDX. Purposive sampling is used in the election sample. In the years 2008 to 2010, there were up to 31 firms miningyang listed on the IDX. utilized data analysis Simple regression analytical techniques are used to test the hypothesis.According to a results study, the results mark significance of 0.935 acquired by results processing statistics is larger than the criteria significance (0.05). The regression model is therefore not significant. Therefore, the linearity criterion is satisfied by linear regression. The R2 result is 0.002 which indicates that the variability variable dependent may be described by the variability variable independent by 0.2% while the remaining 99.8% is explained by other factors not included in the regression model.

Hypertension is situation where blood pressure exceeding the limit of normal with blood pressure 140/90 mmHg and which includes non contagious disease. Complementary therapy can reduce the risk of hypertension complications. SEFT therapy one of a complementary therapy that can be used to overcome the problem of increasing blood pressure. The purpose of this study was to carried out SEFT therapy towards decreasing blood pressure in hypertension patients in the built area of Puskesmas Rowosari Semarang. This type of researAch is descriptive using the case study approach method. The criteria used in the case study: primary hypertension patients, hypertension sufferers were able to communicate well, hypertension patients who did not take anti-hypertension drugs. Case study analysis was carried out by processing data through observation of blood pressure before and after SEFT therapy. The results of the case study showed that there was a decrease of blood pressure. Before therapy the blood pressure of  the subject I was 170/110 mmHg decreased to 120/80 mmHg and in subject II before therapy, blood pressure 160/100 decreased to 140/80 mmHg. The recommendation is with control of blood pressure by using SEFT therapy, the society can apply this therapy.

Increasing competition in business competition, especially in companies engaged in the trading sector, requires every business actor to be quick and responsive in handling or responding to the condition of his sales, this is intended so that the company's sales results continue to increase And one of the main keys in sales is the inventory of goods, inventory goods or inventory are goods that can usually be found in closed warehouses, fields, open warehouses, or other storage places, either in the form of raw materials for semi-finished goods, goods for operational purposes, or goods for the needs of a project. By managing goods properly, it will certainly make it easier to find and get information for available goods. And to manage this information, a computer-based inventory information system is needed, which is expected to increase sales volume. The information system created will assist companies in finding or processing data on available goods, processing the entry and exit of goods, as well as knowing information on suppliers

Virtual teachers are devices or agents with the function of replacing the role of humans (teachers) with their teaching skills. The virtual teacher also has a function as task facilitator and is presented during training, especially when the teacher is actually not present. The virtual teacher's objectivity is carried out by explaining the subject matter in a virtual environment, for example, virtual independent learning. In the western world, virtual schools are quite widely applied, especially to students who are homeschooling. In a virtual school, all materials, assignments and grades are accessed via the internet. The virtual teacher concept refers to a device that provides guidance and practice. Teachers who are equipped with interactive agent functions that can provide direction and feedback in order to improve student abilities. By utilizing natural language processing (NLP) and pattern matching to help students learn alone without being accompanied by a teacher. NLP is used as a learning tool as outlined in the text of the sentence as part of the learning material which is done virtually. Meanwhile, pattern matching is used to group the questions asked so that the computer can gain an understanding of the questions posed by students. This grouping aims to solve problems with different word order which basically have different meanings. The teacher has the facility to make material, make questions, and answer student questions. A teacher can add knowledge about the database to enrich the source of knowledge for students.

In the first quarter of 2017, retail in Indonesia recorded a growth of 2.5%, while in 2018 the growth was only in the range of 1% -1.5%. The cause of the slow growth is the change in the consumption pattern of the people and it will continue at the beginning of 2018. In addition, the decreasing productivity of the community at the lower middle level. As a retailer, Anterah store also faces the same thing, so anticipating a decline in sales requires an analysis of the best-selling products and how to find out the relationship between the products purchased by consumers. The association relationship between these products will be used as the basis for product arrangement, so that the frequency of products that consumers often buy can be arranged closely together so that consumers do not have to look for them longer. Market basket analysis to determine the relationship between products sold simultaneously is used to explore association rules (Association Rule Mining) which will produce products that are purchased simultaneously as a consideration for product arrangement in Anterah Retail storefront. Meanwhile, the best-selling products will be explored using the Frequent Pattern Growth method in order to obtain a ranking list of the most purchased products by consumers. This analysis is used as a basis for considering product promotion. The test results on the sales sample data obtained an average value of minimum support = 0.0025, minimum confidence = 0.610, LaPlace = 0.9985, Gain = -0.006, p-s = 0.003, Lift = 103.82, Convicting 2.5285 with a processing time of 41.456 seconds.

The transformation of objects in computer graphics is very closely related to the factor of scale and rotation. Both are often a challenge in the introduction of objects through numerical features in digital images. Feature processing techniques that can overcome these problems such as Distance - Angle signature that is invariant to the scale and rotation factor. From the results of experiments conducted on 5 types of geometric shape images which amounted to 15 data with scale and rotation factors obtained the results that the Angle Signature can be applied well on all data. Inequality in the signature plot images obtained is due to the lighting conditions and background objects that are not uniform, which occurs in the image of a circle for all three types.

The development of smartphones today is very rapid and can not be separated in everyday life in finding information or making information and in all fields of work requires communication tools to access data and information, it is no wonder in terms of smartphone work being an inseparable part separate, this research I use smartphone especially Android which is currently one of the operational systems that are commonly used by the public especially Indonesia so that it can be used to help team performance in the field in this case Merchandiser in conducting Data Processing Asset Material Promotion Using Qr Code to monitor and control the allocation of promotional material assets in the field to facilitate reporting of promotional material assets. QR Code is a two-dimensional matrix code or barcode that comes from the word "Quick Response", where the contents of the code can be deciphered quickly and precisely, Optimizing the use of applications in this case QR code to facilitate monitoring and control of promotional materials in the field which will help merchandiser to help make it easier to do work in the field and directly connected to the admin computer at the head office, so it will be easy, fast, and accurate.

The advancement of information technology especially in computerized systems is snowballing. It is also backed by a range of demands from industry/ companies that want to abandon the conventional way of conducting business operations to the use of information technology. MÈMORE is a company engaged in the decoration and crafts industry. The company is now using a computerized system in the form of Microsoft Excel software to monitor the company's income and expense and the company often maintains a separate report in a special book. However, this causes problems for these businesses as there is no more efficient method for data processing or for handling the income and expense. In order to solve the problems of the company, a computerized system of financial management is required that will be tailored to the problems and needs of the owner of the business in order to support the company's growth with reliable, managed, and safe financial data. The system can also differentiate its use between the owner and the employee. It is useful for ensuring the confidentiality and protection of company revenue and expenditure data. 

One of the survey activities carried out at the Baitul Giradh Baburrayyan Cooperative was regarding the coffee production of members who are members of the Baitul Oiradh Baburrayyan Cooperative organization, which aims to speed up the data processing process and make it easier to produce reports on production. To carry out these activities quickly and precisely, it is necessary to make an application as a tool in the data processing and presentation of data that will be needed by data users. This data processing application is made using the gambas programming language.

Backgroud: Nausea and vomiting (emesis gravidarum) are symptoms that often occur in 60-80% Primigravida and 40-60% Multigravida. The causes of nausea and vomiting vary, among others, due to hormonal changes in the body, psychological, to lifestyle. The purpose of this study was to determine the description of knowledge of trimester 1 pregnant women about emesis gravidarum. Methods: This research design uses descriptive research type. The sample of this study was the first semester pregnant women who came to have their pregnancy examined at the Rasoki Labuhan Public Health Center in August 2018, amounting to 30 people. The sampling technique uses accidental sampling. The research instrument was in the form of questionnaire sheets and mother's MCH handbook. Results: Data processing techniques starts from editing, coding, tabulation and finally data analysis. From the total of 30 respondents, 7 (23.3%) data have good knowledge, 16 (53.4%) respondents have sufficient knowledge and 7 (23.3%) respondents who have less knowledge about emesis gravidarum. It is expected that first trimester pregnant women will seek more complete information on emesis gravidarum.