Journal of Informatics And Telecommunication Engineering
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Prediction System for Credit Eligibility Using C4.5 Algorithm
Get PDFIndependent Multipurpose Cooperative, Tasti, Pagar Alam City, currently granting credit, the data collection process for the selection of prospective members and prospective credit recipients is still done manually, so they must come to the cooperative to find out whether it is still eligible to receive credit or not, officers must evaluate the data. is to form a decision tree classification model for creditworthiness in cooperatives. The analytical method with the C4.5 Algorithm, the C4.5 Algorithm is one of the algorithms for performing data mining using data classification techniques. The C4.5 algorithm is used to search for knowledge in the data, by finding the relationship between input variables or criteria attributes with target variables or decision attributes. The resulting knowledge is converted into the form of a decision tree so that it is easy to understand. The C4.5 algorithm was chosen because it can make a decision to be able to predict whether a customer is eligible or not to be given credit. The attribute used is income with specified criteria. The results obtained from this study are predictive information on the feasibility of providing credit to cooperatives using the C4.5 algorithm by getting an accuracy value of 93% with an AUC value of 0.898 where this classification is classified as Good Classification or good
APPLICATION OF MACHINE LEARNING WITH THE BINARY DECISION TREE MODEL IN DETERMINING THE CLASSIFICATION OF DENTAL DISEASE
Get PDFThe dangers of health problems in dental disease are common for children and adults. Many dental problems get priority treatment based on data from Riskesdas, about 67.6% of the Indonesian population suffers from dental and oral problems. This affects other parts of the organ that are interrelated. Therefore, this study formulates how to solve the determination of dental disease, by applying the UDB model in machine learning. The purpose of this study was to determine the application of machine learning Binary Decision Tree (BDT) in the classification of classified dental diseases identified by decision trees in determining the results of dental disease predictions including groups and how to solve them. The research methodology in the first stage of data collection was carried out directly with the dental clinic at Cut Meutia Lhokseumawe Hospital. Then input the dental disease data along with the dental disease symptom data. The final stage is dividing the attribute values in viewing the value at a predetermined branch which is then in the form of a decision tree as a reference for the final prediction. The results of the assessment have each value indicating a high level of accuracy, with an accuracy of 92 percent and an inaccuracy of 8 percent of the 40 data points tested. Furthermore, the conclusion of this study can produce an appropriate classification of dental disease and is able to produce accurate results seen from a small error rat
Classification of Determination the Recipients of the Program Keluarga Harapan (PKH) Using K-Nearest Neighbor Algorithm
Get PDFClassification is one method of data mining techniques for classifying data by system according to predetermined rules. In this study, the algorithm used was K-Nearest Neighbor (KNN) algorithm and the data used in this study was the community data obtained from Kantor Desa Gampong Uteun Geulinggang, Dewantara, in Aceh Utara. The main focus of this study was to analyzing and applying K-NN algorithm in a web-based system to classify data on beneficiaries of the Program Keluarga Harapan (PKH) in Gampong Uteun Geulinggang, Dewantara, Aceh Utara. This study used 16 (sixteen) criterias, namely house status, floor area, floor type, gas cylinder, refrigerator, air conditioner, water heater, television, jewelry/gold (10 grams), computer/laptop, bicycle, motorcycle, car, cow, buffalo and goat. The data was classified into 3 classes, namely worthy, not unworthy and very unworthy. The results of this study with a value of k = 3, obtained a precision value of 97%, recall value of 95% and the accuracy value of 97%
Goal Programming Method in Optimizing Course Student Admission, Operational Costs and Profits
Get PDFIn today's business competition, educational institutions or courses require optimizing profits. However, this is not easy because, in its implementation, there are many priority objective functions that must be fulfilled. In this case, the course institution has different class programs, namely literacy, numeracy, and math olympiad programs, with various operational costs per program type and course fees per program type. This problem requires setting priorities because of the limited number of revenues, operating costs, and profit targets. In this paper, the researcher uses Winter's Exponential Smoothing forecasting model to determine the number of students, operating costs, and profits in the following year. Then the researcher analyzes the planning with the goal programming method to minimize the deviation of the multi-objective programming. This research shows that the number of student admissions who can meet market demand for January 2021 decreased by 5.41%, in February decreased by 3.20%, in March decreased by 1.29%, April remained constant, in May increased by 1.44%, June increased by 2.16%, July increased 2.82%, August increased 2.78%, September increased 3.47%, October increased 3.22%, November an increase of 3.33%, and for December an increase of 2.69%. The total operational cost that does not exceed the target limit is Rp. 30,475,0000 for one year. The total profit has reached the target to be achieved, which is Rp. 322,150,000 for one year
Design and Development of Documentary Video in Batam as Dark Tourism Promotion Media
Get PDFTourist destinations are zones that are directly designated and advertised as tourist destinations, and all tourism products are sold by a specific group of tourists who wish to visit a tragic place and know the meaning of the event. It is arranged. , happened in this place. The development of dark tourism can increase foreign tourist visits which can be used as an economy related to the government by attracting foreign tourists who want to provide foreign exchange for dark tourism, including remote areas. I can do that. The author uses the flow of literature study and subsequent problem-solving. This continues and is improved up to the implementation stage and ends at the dissemination stage. There are still many who don't understand how to attract tourists' attention from dark tourist destinations, whether it's shooting a film in the form of a vintage color gradation video with a frame, or using R&D using R&D. Check out the research flow by starting research and dividing the time, looking for stories about the place, and news about the ghost town of Batam calm and explore with the team of ghost hunters of Batam city. While exploring the ghost places of Batam City, unexpected things and events such as camera battery running low while recording, the crew being disturbed by ghosts, and things that are not nearby are crime scenes. Events that require you to bring safety equipment and lighting, as this is an unplanned event
Numerical Analysis of Variations Distance Formulas on K Nearest Neighbors In Classifying Malaria Parasite Blood Cells
Get PDFMalaria is one of the numerous acute and chronic diseases. Even malaria can pose a threat to a person's safety. The original cause of malaria was an infection with a protozoan of the genus Plasmodium, which was transmitted by the bite of a mosquito. This Anopheles mosquito parasite infects red blood cells throughout the body, resulting in an enlarged spleen. This research aims to make it easier for physicians to classify blood images as malaria-infected or not. If the input is a blood image, then SURF Feature Extraction will be used to extract the blood image. We therefore obtained weight results based on the extraction results. The weighted results generated by the SURF extraction process will be classified using the KNN Algorithm to determine whether or not an individual is infected with malaria. This study's tests compared various distance formulas utilized by the KNN classification method. Comparing the results of malaria blood image classification using the KNN classification method with variations in the distance formula, it is evident in table 7 that correlation is the optimal distance formula for malaria parasite blood cells recognition, followed by cosine. According to the results of KNN's tests, it is not optimal at classifying blood images containing malaria, but these results are categorized as goo
Profile Matching in Government Scholarship Acceptance System for Student in Aceh Utara
Get PDFThe scholarship program held to ease the burden of students in taking the study period, especially in terms of costs. This research conducted at SMP Negeri 7 Sawang – Paya Gaboh in Sawang sub-district, Kabupaten Aceh Utara. This research discusses the provision of educational scholarships from the government of Kabupaten Aceh Utara for students. Therefore, the researcher intends to offer a solution to determine the scholarship recipients at SMP Negeri 7 Sawang by applying the Profile Matching method to find the criteria for receiving the scholarship. The purpose of this research is to design and build a system to determine students who are entitled to receive the scholarships by applying the Profile Matching method based on core data and secondary factors. The implementation of the results of the criteria for the scholarship recipients will be processed using the Profile Matching method. It will produce an output that later assist the selection team in finding the scholarship recipients. The results of the research indicate that the use of the Profile Matching algorithm in finding scholarship recipients works according to the expected categories. The student with the highest score on rank is the first alternative that deserves to be the recipient of the government scholarship aid of Kabupaten Aceh Utara. The system is builtand implemented using PHP programming language
Design and Build a Web-based Management Information System at CV Sanjaya Abadi Baru
Get PDFCompetition in running a business at this time is tight, companies that do not utilize technology will be left behind from their competitors. Therefore, it is necessary to implement technology such as the System Information Management into the company’s business processes. This research was conducted at one of the developing companies in city of Batam named “CV. Sanjaya Abadi Baruâ€. In this research, the author uses research method called Agile Scrum, this research method is a popular method to manage application development project and helps in building application quickly, this method uses Backlog as a list of features that need to be implemented, Sprint as a time cycle rule in working on a task and the Daily Scrum to update the work process on daily basis. Author also includes diagram design, detailed design, implementation result, and system testing. The conclusion result from this research is that the system information management built for CV. Sanjaya Abadi Baru is proven to be more effective and efficient than the old company system in the company's business processes to store, process data and obtain information that influences decision making within the company and helps prospective customers to get the information needed more quickly, precisely and accurately
Social Impact of CRM on Customer Engagement and User Loyalty to Services by.U
Get PDFThe development of digitalization continues to grow very rapidly, making companies continue to innovate such as telecommunications technology companies. by.U is an innovation from a telecommunications technology company that has the advantage of being the first all-digital provider in Indonesia. In the by.U service, users can be flexible in determining quota filling according to the desired request. The purpose of this study was to find out how much influence the Social CRM activities carried out by.U had on increasing customer engagement and user loyalty. This research was conducted on the service by.U. Data were analyzed using SmartPLS with a sample of 30 people. The research method is a quantitative approach with path analysis using SmartPLS Version 3. The results of the research are that there are 2 hypotheses that have a significant effect, namely: (1) Social Customer Relationship Management has a significant influence on Loyalty; (2) Social Customer Relationship Management has a significant influence on customers. While the two hypotheses are not significant, namely: (1) Social Customer Relationship Management has a significant influence on Loyalty in Intervening Customer Engagement; (2) Customer Engagement has a significant effect on Loyalt
Predicting Consumer Interest in All You Can Eat Restaurants with Gradient Boosting Algorithm
Get PDFThe rise of businesses in the food industry makes industry players think creatively. One of the trends in this industry is the “All You Can Eat†restaurant with its various variations. This type of restaurant is considered capable of being an attraction for consumers because consumers can eat every dish as much as they want without a limit on the amount. However, it is difficult to map out the factors that make consumers want to come back to the restaurant. This research will build a web application with machine learning features using the Gradient Boosting algorithm that can map whether consumers will come back or not, so that restaurant businesses can use this application to continuously improve the performance of their restaurants