http://repository.president.ac.id/xmlui/handle/123456789/8778 2026-04-07T21:28:52Z http://repository.president.ac.id/xmlui/handle/123456789/9076 FORM PROCESSING AUTOMATION FRAMEWORK USING ZONAL OPTICAL CHARACTER RECOGNITION AND WORKFLOW METHODOLOGY Novelianto, Koo Tito Automated form processing has yet to become mainstream in the industry. In the small to medium business landscape, such process is unlikely to be used due to the high cost of initial investment. Some of the readily available solution require a high upfront payment or a recurring subscription. However, despite the availability of fillable forms, many businesses still rely on printed and scanned documents which create problems for any automated OCR solution. For instance, a scanned document may have different orientation or position from the original document which makes the process more prone to error. A preprocessing step must be taken prior to process these documents to correct for these factors. However, not all businesses have the needed skilled mind or the time to design an in-house optical character recognition (OCR) process. And because of these technical challenge, these business ended up resorting to manual labour which will cost more in the long run compared to an automated process. Therefore, much more affordable OCR solution which can be easily adapted to fit certain business needs is sorely needed. Accordingly, this thesis aims to rectify this by providing a customisable zonal OCR framework with preprocessing capabilities. It will perform bitmap processing and parsing on an input bitmap obtained from a given document. Additionally, a workflow-oriented approach will be employed to provide sequential data parsing and processing logics. This will allow processes to take input from the initial state or previous process and return an altered bitmap for further processes where applicable. 2021-01-01T00:00:00Z http://repository.president.ac.id/xmlui/handle/123456789/9074 ANDROID METRONOME APPLICATION WITH TEMPO DETECTION Elgiva, Darryl Musical metronome is one of an important device for a musician to practice tempo sense. Metronome will give a steady pulse within a tempo, which usually in beats per minute as its unit. Nowadays, metronome exist not only in a form of device but also in a form software with multiple possible platform. Considered that metronome application is a lightweight in size and should be practical, this thesis will choose Android as a platform to build a metronome application This Android application will be covering metronome features, such as, showing tempo mark, adjusting the number of beats per bar, visualizing beats ticking in a form of light indicators, tempo tapper, and tempo detection. The tempo detection feature is a spotlight feature, which enable automation for finding a song tempo. The algorithm of this feature is build based on beat detection algorithm. In short, the application is a musical Android metronome that will covers a tempo detection feature as its additional value. The tempo detection algorithm has a satisfying accuracy with 4.172% in terms of experimental error. 2021-01-01T00:00:00Z http://repository.president.ac.id/xmlui/handle/123456789/9073 COVID-19 FACE MASK DETECTOR Padmaputri, Stevanny At this time, all people in the world are facing a crisis known as COVID-19. COVID-19 is a disease caused by Severe Acute Respiratory Syndrome Coronavirus 2. COVID-19 can cause respiratory system disorders, ranging from mild symptoms such as flu to lung infections, such as pneumonia, and eventually cause death. The process of spreading the COVID-19 virus itself is easy, namely through small droplets from the nose or mouth when coughing or sneezing, then spreads to surrounding objects and people. Several precautions can be taken to reduce the spread of this virus, such as social distancing, wearing masks, and washing hands frequently. But there are still many people who don't want to do that. Therefore, this thesis aims to make an application that can detect whether people are wearing masks or not from the input, such as image, video, and camera. This thesis will implement OpenCV, Keras/TensorFlow, Python, Tkinter, Computer Vision, and Deep Learning to create a COVID-19 Face Mask Detector application. The manufacture of COVID-19 Face Mask Detector application went through two phases, which are Train Mask Detector and Apply Face Mask Detector. In the first phase, the application will load the dataset image of people with masks and without a mask. Then train it to make a face mask classifier with Keras/TensorFlow and save it into a model. In the second phase, the application will load the face detector model and mask detector model. Then apply it to detect the location of the face in the input and determine whether the face is wearing a mask or not. After doing that, the application will show the input result. The application can be used in the office or at the airport via a video stream from a CCTV camera while checking the people who entered it. So it is hoped that in the future, more people can comply with wearing masks and can reduce the spread of COVID-19. 2021-01-01T00:00:00Z http://repository.president.ac.id/xmlui/handle/123456789/9071 Improving Efficiency Self-Sort System in Warehouse with RFID (Study Case: Logistic Warehouse) Mendrofa, Eldo Bijaksana Nowadays, logistic business rapidly grows since the technology of e-commerce is increasing. It makes the utilization of warehouse and logistic become one of crucial business. By high demand of online buying, it required the effective system in warehousing so that it does not obstruct the supply chain management. To avoid the bottleneck in sorting line at warehousing system, researcher propose the solution. By making automation sorting in line. The variable in sorting, such as: destination, dimension, and type of goods (fragile or not). This system combines the RFID and Arduino technology. By this propose system, it’s expected can provide the real-time data with approximation perfect accuracy and saving time. The analysis of this research will use RAD (Rapid Application Development). The step of this method will be system analysis, system design, system implementation and system testing and evaluation. Those variables that will be analyzed in system analysis are overviewing system, functional analysis, software, and hardware requirement, use case diagram and narrative, and swimlane diagram. Then at system design there will be provided the class diagram, entity relationship diagram and UI design. Next phase, system implementation will include hardware assembly, UI development, and application detail. And in last phase, system testing evaluation the result will show testing environment and testing scenario. The conclusion of this research expected increase the sorting process, user-friendly application, and effective cycle time. 2021-01-01T00:00:00Z