Application Of Naive Bayes Algorithm In Classification Of Child Nutrition At The Simalungun Health Office

Toddlers are among the most vulnerable groups to nutritional problems when viewed from the point of view of health and nutrition problems, while at this time they are experiencing a cycle of relatively rapid growth and development. .7% is quite high where the number of births is relatively large. Researchers try to classify 10 toddlers using WEKA to find out whether they have nutritional disorders or are normal by using 5 attributes as system input and a class namely nutrition which divides this class into 4 namely bad, less, good and more with the amount of training data 219 data then data compared with the actual nutritional conditions and obtained an accuracy of 60% and an error of 40% with these results it can be concluded that the accuracy is not too good. Based on this, it is hoped that the results of this classification can help further research in classifying the nutrition of children under five.

Application of Data Mining in Determining Social Assistance Recipients With C4.5 Algorithm in Maligas Mountain District

The Gunung Maligas District Office is a government agency tasked with running a government program, namely the Social Assistance Receipt program, to run the social assistance program, many residents complain that they do not receive assistance, while some residents who are considered capable actually get assistance, where each aid program is have different criteria in determining the recipient. Due to the large number of existing aid programs with different criteria in determining the acceptance of the aid program, of course, local government staff will have difficulty in conducting the selection process. So we need a system that is able to help local government staff to more easily determine the recipients of the social assistance. Based on the historical data of beneficiaries, recommendations for the classification of beneficiaries can be made that will assist government staff. Classification can be done using the C4.5 algorithm. In this study, it has parameters, namely, occupation, income, housing conditions and number of dependents. By applying the C4.5 data mining algorithm, it is hoped that it will make it easier and faster for government staff to determine the recipients of social assistance at the Gunung Maligas District Office.

Comparison of Performance Rot13 and Caesar Cipher Method for Registration Database of Vessels Berthed at P.T. Samudera Indonesia

Database security is a very important aspect of an information system. A general information is onlyintended for certain groups. Therefore, it is very important for a company to prevent database leakage sothat the information contained in it does not fall to unauthorized people. Cryptographic technique is an alternative solution that can be used in database security. One way to maintain the security of the database is to use encryption techniques. The method used to secure the database is encryption using the ROTI3 and Caesar Cipher methods. Both of these methods have advantages in processing speed. For thisreason, the author will compare the use of the two algorithms above in terms of the encryption and decryption process time

Decision Support System for Employee Performance Using AHP Method

The system supports the company's performance appraisal using the AHP (Case Study: PT. Andhy Putra) method, one of which is to find, select, assess and determine the best employees every year to match the abilities and assessment criteria applied so far. PT. Andhy Putra while assessing employee performance, especially in CME and OSP, still experiences shortcomings and weaknesses in determining qualified employees. This employee performance system has problems in assessing the performance appraisal data that is less accurate, which is carried out on a paper-based basis and requires less efficient time and large costs. For that, we need a decision support system in helping PT. Andhy Putra to conduct a performance appraisal every year. The method used in this employee assessment is AHP (Analytical Hierarchy Process), which is often also known as the weighting method. The process hierarchy analytical method is one of the methods used to find weight values ​​based on existing criteria and helps facilitate the ranking of alternatives based on the distance between the positive ideal solution and the negative ideal solution. There are 5 (five) criteria as a tool to assess employee performance, namely commitment to the company, desire for achievement, cooperation, leadership and discipline accompanied by the results of the implementation of this process hierarchy method in the form of ranking the alternatives used. This decision support system is built using the PHP programming language and MySQL database

The Effect Of Family Characteristics And Parenting Patterns On The Nutritional Status Of Toddlers In Sigumpar Village, Sigumpar District, Toba Regency In 2020

Toddler age 12-59 months is a period when children really need nutrients in sufficient and balanced amounts. Lack of nutrients at this time can cause growth disorders. At this time too, the child is still completely dependent on the care and nurturing by his mother and family characteristics. The purpose of this study was to analyze the effect of family characteristics and parenting patterns on the nutritional status of children under five in Sigumpar Village, Sigumpar District. This type of research is a survey with the type of explanatory research. The population is all mothers who have children under five totaling 52 people. The collection of data on family characteristics, eating patterns using interviews guided by questionnaires and health parenting patterns using interviews guided by questionnaires. The nutritional status of children under five is based on the BB/TB index. Data analysis used multiple logistic regression test at a significance level of 95%. The results showed that the nutritional status of children under five (1-5 years old) based on the BW/TB index was normal (40.4%) and overweight (fat) 59.6%. Family characteristics consisting of knowledge of mothers in the good category 65.4%, higher education 75.0%, family income > 1,200,000 (100%), working mothers (59.6%), eating patterns applied by mothers to children good toddler 55.8%. Likewise, the health pattern of children under five is good 61.5%. There is an effect of parenting (eating and health) on the nutritional status of children under five.

Electronic Credit and Furniture Decision Support Systems Using the Weighted Product Method

To do Electronic Credit and furniture is quite difficult and less effective and efficient. Because the system used is still manual or not computerized, and the number of consumers who want to credit goods in Metro, it takes a few days or a long time to make a decision so that a system is needed, namely a Decision Support System using the Weighted Product method. The Weighted Product method is a method that uses multiplication to relate the attribute rating, where the rating of each attribute must first be ranked with the attribute's weight. The Weighted Product method uses multiplication as a liaison for attribute ratings, where the rating of each attribute must be ranked first with the weight in question. This research will produce an application or a furniture and electronic credit decision support system that can help make the credit granting process in the metro easier and more precise. The criteria used in this study are income, BPKB guarantee, KTP, family card (KK), home status, tutoring concerned and child dependents. Of the 5 examples of consumers who have been given in this study from A1, A2, A3, A4, to A5 then the highest ranking result of these 5 consumers is given to alternative A1 because the value obtained by A1 is higher than other alternatives. This system is designed using UML with the programming language PHP, CSS, Java script and HTML with the MySQL database.

Rainfall Data Modeling in Simalungun Regency Using the Arima Box-Jenkins Method

One of the components of the environment that determines the success of plant cultivation is climate. To predict rainfall, the author uses the ARIMA Box Jenkins method, which is a quantitative forecasting method. The data used are data for the period July 2012 to June 2017. In this study, the right model is the ARIMA model (2,0,2) with Xt = 4.05668 + 0.9416Xt-1 - 1.0039Xt-2 - 0, 8558et-1 + 0.9617et-2 + et which is used to forecast rainfall for the next 12 periods. The selection is based on the smallest MSE (average error squared) value of 0.033401954 and the smallest RMSE (root mean square error value), which is 0.001115691 and the smallest MAPE (absolute average error percentage) is -0 , 00801773.

Modeling of the Sedimentation Process in Water

The sedimentation process occurs in water storage containers. In the sedimentation process, it will be observed how fluid flow occurs and how sedimentation occurs in water. The sedimentation is influenced by the density of the water and the velocity of the water in the water reservoir. This study aims to determine how to model a mixture of solid and liquid particles (suspension) in a water storage container by modeling it into a mathematical form, namely by using differential equations. In this case, the factors that affect the sludge concentration distribution will be used as a reference for modeling the Mathematical equations which will then be solved using differential equations.

Optimization of Air Conditioner (AC) Use on a Room with Finite Element Method

The process of working Air Conditioner (AC) in the cooling of a room is a process of heat transfer. This study aims to find out how the distribution of temperature in a room contained AC in it which is solved by implementing the finite element method on the energy transfer equation which is the differential equation used for heat transfer. In the finite element method, the flow field is broken down into a set of small fluid elements (domain discretization). In this study the researcher describes the space in three-dimensional space (3D), then selected linear interpolation function for 3D element, and decreases the matrix and vector elements by Galerkin method to obtain Global equation. Results from computer-assisted studies show the temperature distribution in the room.

Application of the Economic Order Quantity (EOQ) Method in Analyzing Rice Inventory Control.

Problems that often occur in the trading business include excess merchandise inventory and insufficient merchandise inventory. In overcoming these problems, inventory management is needed to analyze the optimum level of inventory. The Economic Order Quantity (EOQ) method can answer the problems that are often experienced by these trading businesses. The total cost of merchandise inventory according to UD. Benget Do is IDR 83,644,065, - while according to the Economic Order Quantity (EOQ) method, it is IDR 34,345,694.93. It is proven that the number of orders is more optimal with the Economic Order Quantity (EOQ) method with savings in inventory costs of 41% of company costs.