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All Journal CommIT (Communication & Information Technology) ComTech: Computer, Mathematics and Engineering Applications Journal of Applied Data Sciences International Journal of Computer Science and Humanitarian AI
Widodo Budiharto
Bina Nusantara University
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics

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The Performance of Boolean Retrieval and Vector Space Model in Textual Information Retrieval Yulianto, Budi; Budiharto, Widodo; Kartowisastro, Iman Herwidiana
CommIT (Communication and Information Technology) Journal Vol 11, No 1 (2017): CommIT Vol. 11 No. 1 Tahun 2017
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v11i1.2108

Abstract

Boolean Retrieval (BR) and Vector Space Model (VSM) are very popular methods in information retrieval for creating an inverted index and querying terms. BR method searches the exact results of the textual information retrieval without ranking the results. VSM method searches and ranks the results. This study empirically compares the two methods. The research utilizes a sample of the corpus data obtained from Reuters. The experimental results show that the required times to produce an inverted index by the two methods are nearly the same. However, a difference exists on the querying index. The results also show that the numberof generated indexes, the sizes of the generated files, and the duration of reading and searching an index are proportional with the file number in the corpus and thefile size.
Sistem Kontrol Akses Berbasis Real Time Face Recognition dan Gender Information Nurmala, Putri; Gazali, Wikaria; Budiharto, Widodo
ComTech: Computer, Mathematics and Engineering Applications Vol 6, No 2 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i2.2264

Abstract

Face recognition and gender information is a computer application for automatically identifying or verifying a person's face from a camera to capture a person's face. It is usually used in access control systemsand it can be compared to other biometrics such as finger print identification system or iris. Many of face recognition algorithms have been developed in recent years. Face recognition system and gender information inthis system based on the Principal Component Analysis method (PCA). Computational method has a simple and fast compared with the use of the method requires a lot of learning, such as artificial neural network. In thisaccess control system, relay used and Arduino controller. In this essay focuses on face recognition and gender - based information in real time using the method of Principal Component Analysis ( PCA ). The result achievedfrom the application design is the identification of a person’s face with gender using PCA. The results achieved by the application is face recognition system using PCA can obtain good results the 85 % success rate in face recognition with face images that have been tested by a few people and a fairly high degree of accuracy.
Implementasi dan Evaluasi Penerapan Globus Toolkit untuk Aplikasi Grid Computing Budiharto, Widodo
ComTech: Computer, Mathematics and Engineering Applications Vol 3, No 1 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i1.2469

Abstract

Grid computing is a distributed computing technology that utilizes resources connected through a free computer network, yet coordinated with a specific mechanism. The development of grid computing infrastructure is not easy because it takes skill and experience in the installation and configuration of both Linux-based and open source program. In this study, the author built a grid computing infrastructure based on Debian 4, and used Globus Toolkit 4.1.2 on three computers. The WSRF technology was tried to run as an indication that the grid infrastructure has been successfully built. Based on some experiments in this study, grid computing can run well on the three computers with a user interface of web-based grid system using the UCLA Grid Portal. Overall the system runs fine, but it requires high experiences and comprehensions upon the Linux operating systems as well as computer networks in the installation process.
Online Training for Face Recognition System Using Improved PCA Budiharto, Widodo
ComTech: Computer, Mathematics and Engineering Applications Vol 2, No 2 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i2.2952

Abstract

The variation in illumination is one of the main challenging problem for face recognition. It has been proven that in face recognition, differences caused by illumination variations are more significant than differences between individuals. Recognizing face reliably across changes in pose and illumination using PCA has proved to be a much harder problem because eigenfaces method comparing the intensity of the pixel. To solve this problem, this research proposes an online face recognition system using improved PCA for a service robot in indoor environment based on stereo vision. Tested images are improved by generating random values for varying the intensity of face images. A program for online training is also developed where the tested images are captured real-time from camera. Varying illumination in tested images will increase the accuracy using ITS face database which its accuracy is 95.5 %, higher than ATT face database?s as 95.4% and Indian face database?s as 72%. The results from this experiment are still evaluated to be improved in the future.
Dispute on Security Framework Model of MFCC Mixed Methods in Speech Recognition System  Pratiwi, Heni Ispur; Kartowisastro, Iman Herwidiana; Soewito, Benfano; Budiharto, Widodo
Journal of Applied Data Sciences Vol 6, No 3: September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i3.689

Abstract

An audio recording system device has unprecedented activities of its authorized users which in a particular way cause vulnerability to the system. It starts to get into a fuzzy condition and deteriorate the system sensitivity in detecting unauthorized access to pass through, then the system inclination may occur. One case is when separate users picked speech voices with similar keywords to set their usernames or password. Moreover, when users are siblings or twins that could have merely similar voices.  Troublesome of this situation leads to a less sensitive manner of a security system, and in some situations, the system could operate blocking authorized users themselves to get access. This paper defines a proposed method to resolve the situation by combining Mel Frequency Cepstral Coefficient with other methodologies, which have been implemented for many other research’ specific objectives as well. This paper displays to prove its combination with an interval scoring in Fuzzy Relation complements a resolution to tackle the security of fuzzy issues mentioned. The Mel Scale has its capacity of delivering extractions output from audio input data, it is called as spectral centroids which refer to humans’ voices or an individual's voice features. Some spectral centroids get merely similar results due to those inclinations mentioned. This paper exposes Fuzzy Relation method to fit the need of verification procedures thorough its interval scale on any fuzzy features. The objective of verification procedure is to gain consistency measured scales, and security warrant remains valid. The inhouse experiments served to give user A of [0.49, 1.18] interval, user B of [0.76,1.07] interval, and user C of [0.44,0.95] interval, and those interval numbers are proposed to cap other login users accounts unto theirs.
The Framework of Vehicle Detection and Counting System for Handling of Toll Road Congestion using YOLOv8 Budiharto, Widodo; Ngarianto, Heri
International Journal of Computer Science and Humanitarian AI Vol. 2 No. 1 (2025): IJCSHAI
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/ijcshai.v2i1.13020

Abstract

The Global COVID-19 pandemic and the increasing number of vehicles have exacerbated traffic congestion, particularly in developing countries. In Jakarta, Indonesia, congestion on toll roads is a significant issue that needs to be addressed through an Intelligent Transportation System (ITS). One of the key solutions proposed is vehicle detection and traffic prediction on toll roads. This study introduces a computer vision-based approach utilizing YOLOv8 to detect, track, and count vehicles to predict traffic congestion. The system operates by identifying vehicles (cars and trucks), preprocessing the data, and calculating the total number of vehicles within the camera’s range. If the vehicle count surpasses the threshold set by the toll road provider, the system updates the traffic status (normal or congested) and triggers a warning. The vehicle detection system can identify cars and trucks within a range of up to 150 meters. Experimental results using test videos demonstrate that the YOLOv8-based system achieves an accuracy of 98% with an average detection speed of 83.6 milliseconds, ensuring highly efficient performance. With its high accuracy and speed, this system can be effectively integrated into traffic management solutions to alleviate congestion and enhance transportation efficiency in Jakarta.
Editorial, Foreword, and Table of Content Budiharto, Widodo
International Journal of Computer Science and Humanitarian AI Vol. 2 No. 1 (2025): IJCSHAI
Publisher : Bina Nusantara University

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Abstract

Design and Implementation of Chatbot Pancasila for Teaching Pancasila and Character Building for University’s Students Mulia, Karina Dwinovera; Budiharto, Widodo; Ngarianto, Heri; Fios, Frederikus
International Journal of Computer Science and Humanitarian AI Vol. 2 No. 2 (2025): IJCSHAI
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/ijcshai.v2i2.14418

Abstract

In the modern era, where global influences are rapidly shaping young minds, the need to maintain strong national identity and moral values is more crucial than ever. For Indonesian students, Pancasila education and character building play a central role in developing not only academic competence but also personal integrity and social responsibility.  The design approach involved analyzing student needs, integrating Pancasila-based content, as well as applying automated learning algorithms so that the chatbot can provide answers that match the context of the conversation especially Character-Building Pancasila topics. This Pancasila Character Building Chatbot is designed with Natural Language Processing (NLP) technology to provide creative, interactive, and interesting learning experiences that are easily understood by students. Implementation is done through a digital platform that allows students to interact in real-time in understanding the values of Pancasila, such as divinity, humanity, unity, democracy, and social justice. Furthermore, this innovation aims to bridge the gap between traditional moral education and modern digital learning methods. By utilizing artificial intelligence, the chatbot can adapt to different learning styles and provide personalized feedback to each student. It is hoped that the presence of Chatbot Character Building Pancasila can increase the enthusiasm for learning and curiosity of students so that learning character building Pancasila is more creative and interesting for students in university classrooms.
Obstacle Avoidance Method using Stereo Camera for Autonomous Robot Maulana, Nabeel Kahlil; Budiharto, Widodo; Saputri, Hanis Amalia
International Journal of Computer Science and Humanitarian AI Vol. 2 No. 2 (2025): IJCSHAI
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/ijcshai.v2i2.14617

Abstract

This paper presents the development and implementation of an obstacle avoidance system for an autonomous robot using a stereo camera setup. The system enables the robot to navigate its environment safely by identifying obstacles and making real-time movement decisions based on depth perception. The stereo vision configuration allows the robot to estimate distances through disparity computation and polynomial linear regression modeling. The proposed algorithm performs stereo matching, image rectification, and depth estimation to generate disparity maps representing obstacle distances. The robot uses this information to figure out if the items it sees are close, medium, or far away, and then it chooses the right move, such stopping, turning left, or turning right. The robot can find and avoid obstacles in different indoor settings, as shown by the experimental findings. The regression model employed for depth estimation attained a high degree of accuracy, evidenced by a R² value of 0.97 and a minimal mean absolute error, signifying robust reliability in distance prediction. The research validates that the amalgamation of stereo vision with regression-based distance estimate yields a resilient and economical method for autonomous navigation. This study advances the ongoing evolution of intelligent robotic systems that can execute autonomous decision-making with limited human oversight
Editorial, Foreword, and Table of Content Budiharto, Widodo
International Journal of Computer Science and Humanitarian AI Vol. 2 No. 2 (2025): IJCSHAI
Publisher : Bina Nusantara University

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Abstract

Co-Authors Benfano Soewito Fios, Frederikus Heri Ngarianto, Heri Kartowisastro, Iman Herwidiana Kartowisastro, Iman Herwidiana Maulana, Nabeel Kahlil Mulia, Karina Dwinovera Nurmala, Putri Pratiwi, Heni Ispur Saputri, Hanis Amalia Wikaria Gazali Yulianto, Budi