Penerapan Algoritma Decision Tree C4.5 Untuk Memprediksi Kelayakan Calon Pendonor Melakukan Donor Darah Dengan Klasifikasi Data Mining

Based on data from UDD PMI Kampar Regency, many donors must have provisions to become blood donors. So far, blood donor selection has been made manually to determine whether potential donors can donate blood or not. Meanwhile, today's information system has not yet explored further information from the large amount of data stored as knowledge. There is a need for organizational consolidation and continuous evaluation of the performance that has been carried out by PMI in dealing with social and humanitarian problems. By making a data mining application with a classification method using the Decision Tree C4.5 Algorithm in predicting someone worthy or not to donate blood, it can be calculated from the results of variables that are continuous or critical, such as variables of age, body weight, hemoglobin (HB) levels, blood pressure. (systolic and diastolic), The data that enters the information system is calculated using the Decision Tree C4.5 Algorithm formula, which results in detailed results and can produce valid and more accurate values. With the data mining application using the Decision Tree Algorithm C4.5 method, potential blood donors' eligibility can be classified based on age, body weight, hemoglobin, and blood pressure. Hemoglobin with the highest gain value (0.861212618) is the variable that most determines blood donation success

Pengembangan E-Commerce Tembe Nggoli (Sarung) Khas Bima Berbasis Web Responsive di Desa Nata

Tembe Nggoli is a typical Bima sarong made by weaving which is still preserved by the community in Neta Village, Palibelo District, Bima Regency. Tembe Nggoli is a hand-crafted art that has been passed down from generation to generation for the sake of preserving the weaving art. Currently, the selling process of Tembe Nggoli is still manual or conventional by selling directly to the public without marketing media so that it is only known by the surrounding community. This resulted in relatively lower income from the sale of Tembe Nggoli, so the process of returning capital was very slow. These problems can be solved by developing e-commerce in the sales process or introducing the craft. The purpose of this research is to build an e-commerce selling Tembe Nggoli based on a responsive website. The method used in building this application is the Software Development Life Cycle (SDLC) with the Waterfall Model. The results of this study have resulted in an e-commerce application selling the Tembe Nggoli Khas Bima sarong that is web-based responsive, so that the appearance of the application can adapt to various types of devices. With this application, it is expected to be able to provide convenience in the shopping process that can assist consumers in finding the desired product quickly and done anywhere and anytime. In addition, this application provides various kinds of information related to Tembe Nggoli products. Testing this system using blackbox testing which states that the system has been running in accordance with the functionality and procedures that are the purpose of developing the system. The functional suitability of the built system reaches 100%

Implementasi Kombinasi Caesar Cipher dan Hill Cipher Menggunakan Modifikasi Sandi Morse Untuk Pengamanan Pesan Berbasis Teks

The security and confidentiality of a message or document sent to other people must be guaranteed its confidentiality and security, so that the message or document is not misused by parties who do not have an interest in the message. Security and confidentiality of messages or documents can be kept confidential and secure by using cryptography. data security and confidentiality issues are very important from an information. Because of the importance of this information, the person concerned will question whether the authenticity of the information is still maintained or whether the information has been hijacked. So in the process of securing data and information with cryptography, of course it requires a qualified algorithm to maintain the confidentiality of the information, so that the purpose of this research is how to maintain the confidentiality of information by converting information into codes known only to the sender and receiver by using cryptographic techniques and steganography. Then the process of securing the data or information the researcher uses a combination of Caesar Chiper and Hill Chiper which is modified into Morse code then the resulting CipherText results will be saved into a JPEG file using the LSB (Least Significant Bit) Steganography method. The process of storing messages or ciphertext into image files will make it difficult for irresponsible people or cryptoanalysts to solve messages sent in the form of images

Klasifikasi Jenis Kendaraan Menggunakan Metode Extreme Learning Machine

The number of vehicles in Indonesia has increased each year, both two-wheeled and four-wheeled vehicles; this is inversely proportional to the development of road infrastructure in Indonesia, which has not experienced much change or improvement. Supposedly, with the increase in the number of vehicles, road infrastructure must also keep pace so that things such as the accumulation of cars on the road do not occur, traffic accidents and congestion become obstacles to carrying out activities. Therefore, it is necessary to make a system to detect and classify vehicles' types in this study using two types of vehicles, namely cars and motorbikes. According to the Indonesian Central Statistics Agency (BPS), it is the highest number. The classification system uses digital image processing techniques, a science to study how an image is formed, processed, and analyzed by a computer to produce information that humans can understand. The method used in this research is the Extreme Learning Machine (ELM), a part of artificial intelligence in feedforward neural networks, where this method can solve regression and classification problems. The data used in this study are 25 images of cars and motorbikes as training data and 15 photos of cars and motorbikes as test data, respectively. The results obtained from this study are a system for classifying two types of vehicles, namely cars and motorbikes, with an accuracy rate of 86.6%. &nbsp

Sistem Informasi Pendataan Potensi Pertanian Kabupaten Kepulauan Talaud Berbasis Web

Economic development in the agricultural sector is intended to increase farmers' income and to equalize development in rural areas. The agricultural potential data collection information system is carried out to find out the various advantages or privileges that exist in the Talaud Islands Regency. One of the government agencies that carry out this activity is the Department of Food Security and Agriculture of the Talaud Islands Regency. This is the benchmark of this discussion and research. The author's team conducted research at the Department of Food Security and Agriculture of the Talaud Islands Regency by collecting data in the field, the authors used questionnaires and interviews. Interviews were conducted with the head of the plantation sector and one staff member of the plantation sector. Based on the results of research in the field and adapted to the needs of potential data by information users, the authors designed an application of information systems for data collection of agricultural potential in Talaud Islands Regency based on a website This system is made to facilitate potential data collection, access and quick information. Stakeholders in collecting data on agricultural potential in the Talaud Islands Regency can access potential data online without having to deal directly with agricultural potential manager

Sistem Pendeteksi Kerusakan Buah Mangga Menggunakan Sensor Gas Dengan Metode DCS - LCA

Fruits, including mangoes, produce a wide variety of volatile organic compounds that give them their distinct aroma. Characteristics of fruit aroma is one of the important keys in determining consumer acceptance in the commercial fruit market based on individual preferences. So a possible way to determine the level of ripeness/damage is to feel the distinctive aroma presented by the fruit using a gas sensor. This study aims to build a system that can detect mango damage based on its aroma. The sensors used are TGS 2600, MQ3, MQ4, MQ2, and MQ8 which are connected to the Arduino Mega 2560. The learning model used is an ensemble learning model of Dynamic Classifier Selection (DCS) with Local Class Accuracy (LCA)/DCS-LCA. This algorithm combines Logistic Regression, Selection Tree, Support Vector Machine (SVM), Naïve Bayes, Random Forest, and Neural Networks. The model was then tested with a comparison of the amount of test data and training data of 70%:30%. The test results showed that the overall system Accuracy was 75% and the ability to detect mango fruit damage was 71%. The DCS-LCA classifier model outperforms each of its constituent base classifiers.   &nbsp

Perancangan Sistem Informasi Pengolahan Administrasi Keuangan Pada Dinas P3A-PMD Kabupaten Kepulauan Talaud

Financial Administration Processing is a process that converts financial data into information, in carrying out this process often using a computer so that it can run automatically. Through a data processing system, it can facilitate organizations to manage financial data for related fields so that they can help complete activities in the financial sector, especially for the process of recording and financial reports quickly. The purpose of this study is to find out how efficient and accurate the information system is at the Office of Women's Empowerment, Child Protection, Community and Village Empowerment in the Talaud Islands Regency (P3A-PMD). The method used in this study is a qualitative method by finding out how efficient and accurate the information system is currently running at the P3A-PMD Office. Data was collected by means of observation, interviews, and literature study. Sources of data used are primary data and secondary data. Data management with a computer is expected to help the process of recording data so that data storage will be better and if an error occurs, you can directly edit the data

Deep Learning Identifikasi Tanaman Obat Menggunakan Konsep Siamese Neural Network

One of the roles of humans in community empowerment activities is in the health sector. Community empowerment in this field can be carried out through efforts to improve community health by utilizing family medicinal plants. The purpose of using family medicinal plants is so that the community can preserve these plants, reduce hospital costs, and serve as access to first aid for health if health services are difficult to reach. Based on this explanation, to increase public knowledge and understanding of the types of Toga and its benefits as a medicinal ingredient, it can be done several ways. One of them is through an in-depth learning approach. The deep learning approach with Siamese Neural Network is by comparing two patterns and producing an appropriate output based on the similarity of the two patterns. The application of Siamese Neural Network with an Android Smartphone is the right choice because it can facilitate the community in terms of usage. Based on these problems, the writer wants to build an application that can identify plants based on Android-based leaf images by applying the Siamese Neural Network approach. In this study, the results achieved were that the Siamese Neural Network could be implemented on Android-based smartphones. The application was able to identify family medicinal plants based on leaves

Penilaian Standar Mutu Pada Aplikasi Parkir Universitas Muhammadiyah Gresik Dengan ISO 9241-11 Dan Fishbone Analisis

The parking application service at the University of Muhammadiyah Gresik is an update from the previous system. Of course, this application requires a system that is practical, efficient, and also has good data storage security. One of the references that can be used that these things have been fulfilled in this application is an analysis using ISO 9241-11. The purpose of this study was to analyze the application of UMG parking for the feasibility of ISO 9241-11. Analytical research methods used include determining clauses, checklists, Likert scales, maturity levels, and fishbone diagrams. Clause, checklist use for getting assessment based on the park system, then from that result will be used to get the qualification of this system with liket scale in each clause of this standard, and assessment of all clause with likert scale , the result of level quality assurance of this system will be found. Next the using fishbone diagram can analyze to get the root cause of clause dan quality assurance in ISO 9241-11. Because that , with this study we can know the qualification and the root cause of park system. And the analysis using that tool, this system still not suitable to use ISO 9241-11. The parent of root cause is in efficiency clause in organitation like less costing and planning

Aplikasi Tipologi Kepribadian Berbasis Web untuk Efektivitas Komunikasi

Communication is the process of sending and receiving messages that involve at least two people so that the message can be understood. The existence of effective communication results in a good relationship between the sender and recipient of the message. Meanwhile, miscommunication can lead to relationship breakdown. The way a person communicates is largely influenced by his personality. Communication is more effective by looking at his personality. Personality directly affects interpersonal communication and this communication affects organizational commitment. One way to find out a person's personality typology is to fill in personality observations based on the fields that have been determined by the expert. The purpose of this study is to develop a personality typology application that can be used to identify a person's personality typology. The existence of this application is expected to help realizing effective communication because someone knows the typology of his personality that can be used to communicate with his interlocutors. The software development method used is eXtreme Programming. This method was chosen because the resources to make the system were available, application development time was short, and programming was done by a small team. The making of this personality typology application can be used by someone to identify personality typologies that can produce choleric, sanguine, melancholic, and phlegmatic classification outputs. This application is created using the PHP programming language and MySQL Database Management System by displaying a list of 24 questions that must be filled in by the user. The application using black box testing, accuracy value is 100%. The existence of this application is expected to create a comfortable working atmosphere and create smooth communication with all parties. This has an impact on the effectiveness of communication so that it can reduce communication misunderstandings