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Buana Information Technology and Computer Sciences (BIT and CS)
Published by Universitas Buana Perjuangan Karawang
ISSN : 27152448     EISSN : 27157199     DOI : https://doi.org/10.36805/bit-cs
Core Subject : Science,
Computer Science & IT
Buana Information Technology and Computer Science (BIT and CS) is a journal focusing on new technologies that handle IT research and management - including strategy, change, infrastructure, human resources, information system development and implementation, technology development, future technology, policies and national standards and articles that advance understanding and application of research approaches and methods. This journal publishes works from disciplinary, theoretical and methodological perspectives. It was designed to be read by researchers, scholars, teachers, and students in the area of Information Systems and Computer Science, as well as IT developers, consultants, software vendors, and senior IT executives who are looking for updates on current experiences and prospects related to information and communication technology contemporary.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 66 Documents
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Multiagent Systems as an Approach to Building Fuzzy voter Communities using fuzzy languages Belangany, Milambu; Kasengadia Motumbe, Pierre; Mbuyi Mukendi, Eugène
Buana Information Technology and Computer Sciences (BIT and CS) Vol 6 No 1 (2025): Buana Information Technology and Computer Sciences (BIT and CS) (InProcess)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/bit-cs.v6i1.6814

Abstract

This paper explores the use of fuzzy set theory to model the behavior of voters in a multi-agent electoralenvironment. Voters, represented as fuzzy agents, communicate using imprecise language to formcommunities based on shared linguistic terms. By leveraging graph theory, we construct a model of afuzzy voting system where agents are linked based on the similarity of their fuzzy language. Theproposed approach focuses on identifying, constructing, and extracting communities of fuzzy voterswithout delving into their relational dynamics. Using fuzzy set membership functions, we definelinguistic variables that reflect the imprecision in voter behavior. The study introduces an algorithm todetect communities by creating links between fuzzy voters, ultimately forming groups based on theirlinguistic similarities. Results demonstrate that fuzzy communities can be successfully constructed,where the membership function quantifies the degree of belonging of voters to specific communities.This method contributes to a better understanding of voting behavior in complex, heterogeneous systemsand offers a novel approach to community detection in multi-agent systems
Reinforcement Learning-Based Autonomous Soccer Agents: A Study in Multi-Agent Coordination and Strategy Development Paneru, Biplov; Paneru, Bishwash; Poudyal, Ramhari; Poudyal, Khem
Buana Information Technology and Computer Sciences (BIT and CS) Vol 6 No 1 (2025): Buana Information Technology and Computer Sciences (BIT and CS) (InProcess)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/bit-cs.v6i1.7270

Abstract

Reinforcement learning (RL) approaches, particularly Q-learning, have emerged as strong tools for autonomous agent training, allowing agents to acquire optimum decision-making rules through interaction with their surroundings. This research investigates the use of Q-learning in the context of training autonomous agents for robotic soccer, a complex and dynamic arena that necessitates strategic planning, coordination, and adaptation. We studied the learning progress and performance of agents taught using Q-learning in a series of experiments carried out in a simulated soccer setting. During training, agents interacted with the soccer environment, iteratively changing their Q-values in response to observable rewards and behaviors. Despite the high-dimensional and stochastic character of the soccer domain, Q-learning helped the agents develop excellent tactics and decision-making capabilities. Notably, our study found that, on average, the agents required 64 steps to reach a stable policy with an average reward of -1.
Design of a Vehicle Parking Management Information System in Tanjung Duren Central Park Area West Jakarta Setiawan, Topan
Buana Information Technology and Computer Sciences (BIT and CS) Vol 6 No 1 (2025): Buana Information Technology and Computer Sciences (BIT and CS) (InProcess)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/bit-cs.v6i1.7407

Abstract

Tanjung Duren Parking is a parking lot whose operational activities still use a manual system, so that parking officers often experience problems such as incorrectly calculating the total parking fee or incorrectly recording incoming and outgoing vehicles, which results in parking revenue anomalies and inaccurate parking space availability data. Therefore, in this research, a parking vehicle management information system was designed as a solution to existing problems. This information system was designed using the system development life cycle (SDLC) method and approach. Based on the results of research that has been carried out, it is known that the information system that has been designed is effective to implement because it is able to solve existing problems such as automatically calculating parking rates and recording vehicles both when entering and leaving
Design of Interactive Media for Japanese M-Learning Based on Android Using UML and Waterfall Model Apriade Voutama; Elfina Novalia
Buana Information Technology and Computer Sciences (BIT and CS) Vol 6 No 1 (2025): Buana Information Technology and Computer Sciences (BIT and CS) (InProcess)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/bit-cs.v6i1.8283

Abstract

The development of open source technology has created many innovations created by developers in creating Android-based applications. One of them is creating interactive media M-Learning Japanese language learning based on Android. Japanese M-Learning is made to facilitate students in the learning process and provide interactive convenience in improving Japanese language skills. M-Learning is made using the Android programming language with UML (Unified Modeling Language) design analysis tools and the waterfall model. The initial analysis uses the Usecase model to determine the actors involved in the system, and the flow of actor activities using the Activity and Sequence models and several other supporting models. The User Interface is made to describe the system being built and the Flowchart is designed to see the scheme running on the Japanese M-Learning interactive media system. The results of the analysis were carried out by taking satisfaction data from 30 student respondents, 81% stated that this Interactive Media was Good.
A Novel Multi-Level Perceptron for Accurate Heart Stroke Diagnosis Zaman, Muhammad; Khubaib, Muhammad; Kahkashan, Tanzila; Zahoor, Anam; Shahbaz, Narges; Shoukat, Shahzad; Nisar, Fahma
Buana Information Technology and Computer Sciences (BIT and CS) Vol 6 No 1 (2025): Buana Information Technology and Computer Sciences (BIT and CS) (InProcess)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/bit-cs.v6i1.7654

Abstract

Heart is a very important part of human body, it supply blood to body. If the heart fail down the person cannot survive. This is very important to diagnose the heart disease timely to start proper treatment. To dingoes this disease manually takes time a lot and budget of the patient. Traditionally the patient have to go through form different test then he have to give medical history to the doctor then the doctor make decision about their disease and then the treatment start. In the developing countries especially like Pakistan the income of the people are too much low and they cannot offered different type of expensive tests like ECG etc. In this way the disease cannot detect timely and cannot treated properly. The heart stroke can be predicted by analyzing different attributes like blood pressure, cholesterol age etc., this is a best and easy way to predict heat stroke timely. Different types of Machine Learning and deep learning algorithms are used for heart stroke predictions. In this paper we purposed Novel MultiLayer-Perceptron (MLP) that are efficient in classification and in heart stoke prediction that model achieve high accuracy of 99%.
Implementation of the C4.5 Algorithm in Predicting the Interest of Prospective Students in Choosing Higher Education Triraharjo, Bambang; Ayu Minarni, Prilian; Baskoro
Buana Information Technology and Computer Sciences (BIT and CS) Vol 6 No 1 (2025): Buana Information Technology and Computer Sciences (BIT and CS) (InProcess)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/bit-cs.v6i1.7697

Abstract

Data governance involves setting internal standards for how data is collected, stored, processed and deleted. In the context of the oil industry, data governance can intervene at the level of oil exploration and production to manipulate data in particular. In our contribution, we explain how Fuzzy c - means based machine learning can be used for oil data governance. This deep artificial intelligence concept, which we will use in addition to fuzzy logic, by applying Fuzzy c - means for good training can enable the decision-maker a better governance policy.

Page 7 of 7 | Total Record : 66

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