Coffee roasting is the process by which raw coffee beans (green beans) are roasted until they reach a certain roast level. In general, the roast level of roasted coffee beans is divided into 3 levels, namely the roast level of light, medium and dark. One way to find out the roast level of roasted coffee beans is to see the color change of the coffee beans. However, it is very difficult to know the exact color conditions of each roast level of roasted coffee beans and this can be overcome by build an automatic coffee roasting equipment. In this research, an automatic coffee roaster was done with a system that is able to control the roasting temperature and stirring of coffee beans. This tool can also monitor the change in color of the coffee beans during the roasting process. The system that has been implemented can detect color changes and classify the level of dark roast of roasted coffee beans using the Euclidean distance algorithm. The Euclidean distance give a threshold to classified the roast level. The system accuracy for predicting coffee beans color at the level of dark roast is 90% and 80% for overall.
The COVID-19 pandemic has affected the way people work, forcing people to reduce physical contact with other people. So, legalizing documents by adding a signature and stamp in PT RST now requires a new method. Electronic documents with the legalization using digital products become legal for use. Digital products for legalization include electronic stamps, signatures and seal stamps. Adding a digital product to a document is done on a web application that provides document legalization services. Currently adding digital products to web applications is only for one or two products, for example electronic stamps, so to be able to add 3 products we have to use 3 different web applications. This method makes the process of adding digital products done in many stages. Therefore, it is necessary to create a web application portal that combines all services such as e-stamp, e-sign and e-seal stamp in one application. The web-based portal is developed using agile software development methods. The development process is done iteratively in 3 iterations. The result of this research is a web-based portal that can provide services for adding e-materai, e-stamp and e-sign for oneself, other people and collaborate with several people. Furthermore, user satisfaction was measured with the SUS questionnaire and the usability measurement result was 80.3. This score is in the "Acceptable" acceptability range, acceptable with efficient use, easy to understand, and has a simple user interface. The signer portal development process for PT RST can be a reference for other industries to implement similar products in their organization, both in terms of technology and business processes.
Abstract PPA (Academic Achievement Improvement) scholarship acceptance Institut Teknologi Del is open annually for students who have improved academic performance but are economically disadvantaged. Every year there is significant increasing of the number of students to apply for the scholarship. As a result, it becomes more difficult to determine students who are entitled to receive the PPA scholarship since the procedure was done manually. As a result, the selection time needed to produce a decision is longer. In response to this, the authors propose the implementation of Genetic Algorithms and Fuzzy Logic in determining scholarship recipients as well as using data from the Institut Teknologi Del Information System (CIS) using student data of 2016, 2017 and 2018. The data obtained is done by data pre-processing, then being input into the system. In the system the state has been set with CR = 0,9, MR = 0,1 and fuzzy parameters will be used. Following the genetic algorithm stages of population initialization, fitness evaluation, selection, crossover, mutation, and elitism, the fuzzy logic process is carried out in the form of fuzzyfication, inference and defuzzyfication. After the fuzzy process is completed, 10 scholarship recipient student data are obtained. Since the results of the membership function provided by the genetic algorithm always changed, it caused different result in each experiment. Four data similar to the original data of the scholarship recipient was finally shown in the 37 th experiment from the total of 50 experiments carried out.
Graphical User Interface or better known as the user interface is the liaison of users with electronic devices such as computers. The Graphical User Interface uses icons, menus, and some other visual indicators to represent the information contained in the interface of the application being used. The Graphical User Interface I must pass the Graphical User Interface Testing stage to ensure that every element in the Graphical User Interface is not an error and by the specified one. Also, we know that Graphical User Interface Testing is a set of activities that aim to test the Graphical User Interface I of the test object to ensure that the Graphical User Interface complies with the specifications specified in the software design document. In this research, we try to compare four Graphical User Interface testing tools which ae: Robotium, Espresso, UI Automator, and Pix2Code. By exploring these 4 testing tools we find out that Pix2code can only identify objects, especially label objects. Pix2code can only meet 3 out of 7 predefined criteria. This indicates that there are still many objects of the android application that Pix2code has not been able to identify. In other words in the Graphical User Interface testing section, pix2code can play a role in identifying each object contained in the application and can be done at the design stage. The result that we get from this research is that the GUI testing tools could identify many parts and almost every object in the application except the Pix2code. For future development, Pix2code as a testing tool requires development in the form of a desktop display such as the UI Automatorviewer so that it can display every detail of the object including the attributes of the object.
The purpose of this study is to build a travel route information system with synchronization of ferry crossing schedules that will help tourists and residents who will go to Samosir to determine travel routes based on the time and ship schedules available at the port and help develop accessibility development in Samosir, especially in travel route information. The development of this system applies the agile Kanban method to the to-do process on the kanban board. We also used Dijkstra algorithm here for routing due to small number of port for efficiency. The results obtained are web-based and mobile-based travel route information systems. In this case, the web is used to manage information data that will be displayed on the mobile application, while the mobile is used by tourists to find out a list of travel routes from both land and water routes that have been synchronized with the ferry departure schedule, as well as providing information on tourist attractions and the location of supporting facilities with user's destination. By using this application user could shorten the search time up to approximately 15 minutes.
Currently, the Lake Toba area is included in one of the 10 priority tourism destination locations, so there are challenges to make changes to world tourism trends that utilize digital technology. So that several strategies must be carried out to capture these opportunities, one of which is through digitalization. For this reason, the development of a tourist village website in the Lake Toba area needs to be carried out to be able to take advantage of digital technology as a promotional media. The method applied in developing a tourist village website is the waterfall. The reason for implementing the waterfall method in developing a tourist village website is because all the requirements obtained from the client are clear and there are no more changes in the middle of implementation. The website displays good photography works and is equipped with the concept of story-telling. In addition to obtaining information about tourism in the Lake Toba area, the community can be directly involved as actors in tourism activities. Thus, a website manager will be formed in each tourist village of the Lake Toba Region. From the results of the development, it was found that the community's introduction to tourist villages in Lake Toba is increasing
At present, most watering is done manually. This has several disadvantages, such as requiring human labour to do watering, watering time, and difficulty monitoring soil moisture and air temperature needed by plants, especially broccoli plants. Based on this, we create an automatic watering plant model using fuzzy logic algorithms and a simple monitoring application. The purpose of this study is to provide convenience in carrying out an automatic watering system according to the needs of broccoli plants. This research uses a fuzzy logic algorithm because the broccoli plants that will be watered have unclear soil moisture conditions and air temperature. Arduino Mega2560 is used as its main component, which functions as a microcontroller that controls the sensor/actuator. The DHT11 sensor and the YL-69 sensor are used to detect soil temperature and humidity and the motor driver to control the water volume from the water pump. From the test results, the average% error of the DHT11 sensor with a thermometer is 1.89389%, and the average error of the YL-69 sensor with the calculation of soil moisture is 5.45%. In testing the duration of the watering, an average error testing the watering system based on calculations is 1.209%. The accuracy of the watering test is 98.791%, so the watering test is running well.
A parasitic egg could cause infections and become significant diseases, especially in countries with poor sanitation and hygiene. Its detection which is manually conducted by humans using a microscope could be time-consuming and potent to misclassify. The goal of this research is to get a method that has a good accuracy to automatically detect and identify the parasitic egg. Also, we have a challenge here because the dataset has different resolutions, lighting, and setting conditions. Here we try to utilize the YOLO algorithm by doing image augmentation and restoration to the dataset, we use deep latent space translation for restoration and a simple GrabCut algorithm to generate an augmented image. Furthermore, we apply hyperparameter tuning in image resolution and see how we could utilize the YOLO algorithm to do fast and accurate classification. From the result, we get the combination could give better results in classifying the parasitic egg which the mIoU results reached 71.7 percent.
Abstract The rapid development of technology affects the growth of tourist attraction information in Indonesia. Therefore, an accurate recommendation system is needed in recommending tourist attractions. In this final project, we use the Collaborative Filtering method, namely the Restricted Boltzmann Machine (RBM) algorithm and the Matrix Factorization-Alternating Least Squares (MF-ALS) algorithm in recommending tourist attractions. Attraction recommendations will be generated from the type of tourist attraction available on the website and the rating that has been given by previous users who have visited the tourist attraction. We use a root mean square error (RMSE) to find the accuracy. From the results of the research and implementation of the two algorithms, it can be concluded that the RBM algorithm is more accurate than the MF-ALS algorithm. The RBM algorithm has an RMSE value of 41%, while the MF-ALS algorithm 81%.
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