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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Tech-E Jurnal TAM (Technology Acceptance Model) Jurnal Sisfokom (Sistem Informasi dan Komputer) bit-Tech Algor Indonesian Applied Research Computing and Informatics
Yo Ceng Giap
Universitas Buddhi Dharma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Other

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Design of Acceptance Decision Support System for New Employees in the Technician Position Using AHP and TOPSIS Methods at CV. Techindo Global Solution dominic adello setiawan; Riki Riki; Yo Ceng Giap
bit-Tech Vol. 1 No. 2 (2018): Data and Information Quality
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (695.643 KB) | DOI: 10.32877/bt.v1i2.5

Abstract

An agency cannot be separated from the role of human resources (HR) working in it. The quality of human resources is one factor to improve the productivity of an institution's performance. Therefore, an assessment in employee selection is an important part of providing qualified employees for the company. Problems that occur in CV Techindo Global Solutions is the process of receiving employees who are still using the manual way and based on subjective assessment results so that the process of acceptance of employees to be slow and inaccurate. The absence of an application program in support of decision making for employee recruitment. Based on this, the author designed the decision support system of employee appraisal on CV. Techindo Global Solutions using AHP (Analytic Hierarchy Process) and TOPSIS (Technique For Order Preference by Similarity to Ideal Solution) methods. Employee acceptance system is done by using Analytic Hierarchy Process method to determine the weight of each criterion and the use of Technique For Order Performance by Similarity to Ideal Solution to conduct ranking alternatives in the form of employee data. This system is built with PHP and MySQL programming language as database. With the program using AHP and TOPSIS method, the new employee's assessment is better than the individual assessment and with the decision support information system, the process of receiving the employee can be helped from the evaluation side.
A Tool Detects Violation Of Road Markings Using Ultrasonic Sensors Based On Internet Of Things Yo Ceng Giap; Yohanes Manurung; Ma'mun Johari
bit-Tech Vol. 2 No. 2 (2019): Support System
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v2i2.110

Abstract

In our daily lives, of course we often see the number of motorbike or car vehicles that do not care about the traffic lights, even though the traffic is red, but there are always vehicles that stop or even slightly cross the white line that is specifically for pedestrians so that can pass when the traffic lights are red. Ultrasonic sensors work based on the principle of reflection of sound waves, where these sensors produce sound waves which then capture it again with a time difference as the basis for sensing. After analyzing the needs, the author will build a Tool to Detect Road Marking Violations Using the Internet-Based Ultrasonic Sensor on the grounds that all the components needed in building the tool already exist. Which is where the driver will be exposed to a photo if it crosses the marking line that has been provided on the highway. Because the concept of the internet of things involves tools with users to communicate. The composition of the algorithm, the author uses python which has become the default programming language raspbian operating system. Algortihm construction in the tool is a red light algorithm, an ultrasonic sensor algorithm, an image capture algorithm, and an algorithm for sending text and images via email. Traffic officers will be facilitated because the tool is in accordance with the traffic light seconds, can take pictures, and also officers are informed in the form of text and images.
Object Detection Radar Prototype with Ultrasonic Sensor Using Iot-Based Arduino wandynata Prima; Yo Ceng Giap
bit-Tech Vol. 3 No. 2 (2020): Datamining
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v3i2.187

Abstract

Internet of Things (IoT) is a concept that aims to expand the benefits of connected internet connectivity. Internet of Things (IoT) refers to objects that are uniquely identified as virtual reservations in an internet-based structure. At this time, the limitation of surveillance control in observing objects as negligence of the limitation of view, light conditions or obstructions becomes a problem in application and monitoring. The use of radar is one solution to overcome this condition. Radar stands for radio detection and range is a device whose function is to determine the distance, direction, or speed of a moving and fixed object. Radar can be used in mapping applications and exploration of objects in unknown space. The use of radar can also help navigate moving objects. In this study, a radar prototype with ultrasonic sensors and a simcard module was made that can provide notification via SMS if an object is near the radar. It is hoped that this radar prototype can be used to identify the location of the presence of obstructive objects in rooms with limited access or in dangerous areas
Twitter Opinion Mining Analysis of Web-Based Handphone Brand Using Naïve Bayes Classification Method Suryadi Wijaya; Yo Ceng Giap
bit-Tech Vol. 4 No. 2 (2021): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v4i2.287

Abstract

Social Media is now very commonly used for the benefit of society. People mostly use social media to convey information, give opinions, even for media to express themselves. One of the social media that is widely used to convey this information is Twitter. From the use of Twitter, a public opinion tweet emerged about a mobile phone product. The more that is posted on Twitter about cellphones, the more public opinion will arise about cellphone brands. From these opinions, a classification is needed that can distinguish Neutral, Negative, or Positive Opinions. Sentiment analysis or opinion mining is one part of text mining that can help with these problems. In connection with the above, an application is designed that can analyze sentiment analysis from Twitter using the Naïve Bayes classification method. The results of the application of the Naïve Bayes classification method will result in a classification of sentiments into neutral, negative, or positive opinions
Implementasi Speech Recognition untuk Asisten Virtual dengan Python Yulius Setyawan; Yo Ceng Giap
ALGOR Vol. 4 No. 1 (2022): System and Engineering
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v4i1.1545

Abstract

The most common way of communicating used by humans is by voice or speech. Many experiments were carried out in the aspect of sound processing to create a mechanical model that simulates how humans communicate verbally. Voice recognition technology aims to develop systems and techniques on how to introduce voice commands so that they can be understood by machines so that machines are able to carry out the commands given. This study uses speech recognition technology to be implemented into a desktop-based personal virtual assistant application to help simplify daily tasks through a computer. The results of this study resulted in speech recognition to perform certain general tasks on the desktop and turn on electronic devices. From the tests that have been carried out, the application can recognize voice commands to carry out the given commands and can turn on or turn off electrical devices as expected.
IMPLEMENTASI DETEKSI MASKER WAJAH MENGGUNAKAN BAHASA PEMROGRAMAN PYTHON Yo Ceng Giap; Erviana
bit-Tech Vol. 6 No. 1 (2023): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v6i1.893

Abstract

Since the beginning of the pandemic in 2019, people in Indonesia have been required to wear masks. Although until now the pandemic has ended, the need to use masks is still very much needed such as to maintain health, avoid air pollution and others. In detecting mask users, an application is needed that can help human work. Currently, the Python programming language is widely used to build applications in the field of computer vision, one of which is this face mask detection application. This application will detect mask users, whether they are wearing a mask or not. This developed application uses the Yolo model using the Face Mask Detection dataset developed by Larxel, where the Yolo model can work on the dataset provided. The test results show that the Yolo model can recognize mask users with an accuracy value above 90%. The second experiment was carried out to detect several faces of mask users, the Yolo model can recognize mask users or not with an average accuracy value of 91.75%. For future research, it is also expected to use other models besides Yolo and make comparisons of several models and make improvements to the problems that exist in each model and use real time data.
Optical Character Recognition (OCR) Of License Plates Using the KNN Method Abim Tisanarada; Yo Ceng Giap
Indonesian Applied Research Computing and Informatics Vol. 1 No. 1: July (2025)
Publisher : PT. Teras Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to implement an IoT-based security system with character recognition (OCR). The OCR system utilizes a webcam and the KNN method to recognize vehicle license plate text in real-time. This prototype was tested using six samples of the latest Indonesian license plates. The character detection process involves steps such as capturing images from the webcam, preprocessing images to improve contrast and convert them to grayscale, and applying calibrated transformations. Image inversion and thresholding are performed to separate characters from the background. Character segmentation and filtering criteria are also performed to clean the character image from noise and remove inappropriate backgrounds. The detected characters are identified using Region of Interest (ROI) detection to ensure the validity of the characters. The validated contours are sorted from left to right to form the complete license plate number. Subsequently, KNN implementation is used to recognize the detected characters. Test results indicate that the KNN-based webcam license plate detection system, with K set to 1, performs well and achieves a sufficiently high level of performance. Testing at camera-to-license plate distances of 60 cm, 70 cm, and 80 cm shows an average accuracy rate of 100% within 5 seconds. This research contributes to the development of an efficient and accurate vehicle license plate recognition system for various applications, including parking systems and access control.
Co-Authors Abim Tisanarada Berlin Yap Billy Gozali Desiyanna Lasut dominic adello setiawan Eric Siswanto Erviana Fanny Fransisca Jimmy Arifin Ma'mun Johari Ricky Tri Utomo Ricky Tri Utomo, Ricky Tri RIKI RIKI, RIKI Suryadi Wijaya Tomy Salim wandynata Prima Yohanes Manurung Yosua Fransiskus Yulius Setyawan