cover
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282370070808
Journal Mail Official
jurnal.bulletincsr@gmail.com
Editorial Address
Jalan sisingamangaraja No 338 Medan, Indonesia
Location
Kota medan,
Sumatera utara
INDONESIA
Bulletin of Computer Science Research
ISSN : -     EISSN : 27743659     DOI : -
Core Subject : Science,
Bulletin of Computer Science Research covers the whole spectrum of Computer Science, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, Fault analysis, and Diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High-Performance Computing • Information storage, security, integrity, privacy, and trust • Image and Speech Signal Processing • Knowledge-Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition, and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Support Vector Machines • Ubiquitous, grid and high-performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data • Cryptography • Model and Simulation • Image Processing
Articles 3 Documents
Search results for , issue "Vol. 4 No. 5 (2024): August 2024" : 3 Documents clear
Klasifikasi Citra Penyakit Daun Anggur Menggunakan Radial Basis Function Neural Networks Moh. Erkamim; Yanuardi, Yanuardi; Mohammad Imam Shalahudin; Arisantoso, Arisantoso
Bulletin of Computer Science Research Vol. 4 No. 5 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i5.324

Abstract

Grapes are one of the important horticultural commodities in Indonesia, but their productivity is often disrupted by leaf diseases that affect both the quality and quantity of the harvest. Manual disease identification remains time-consuming, requires specialized expertise, and often results in inconsistent diagnoses. Challenges such as fatigue, varying levels of experience, and visual differences in leaf diseases hinder the ability to perform fast and accurate diagnosis. Therefore, this study focuses on developing an automatic grape leaf disease classification model using the Radial Basis Function Neural Networks (RBFNN) algorithm. The model utilizes color feature extraction through Mean Color to detect changes in the color distribution of infected leaves, as well as GLCM (Gray Level Co-occurrence Matrix) to analyze texture patterns that serve as disease indicators. The classification process is conducted by the RBFNN algorithm, which calculates the distance between inputs and neuron centers using radial basis functions in the hidden layer. The results of this study show that the model is capable of classifying grape leaf diseases with an overall accuracy of 92.5%, indicating that the model is highly effective in detecting and classifying both healthy and infected leaves with minimal errors.
Sistem Informasi Penjualan Kartu dan Voucher Internet Berbasis Web Menggunakan Metode Waterfall Muhammad Yusuf; Barany Fachri
Bulletin of Computer Science Research Vol. 4 No. 5 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i5.364

Abstract

Currently, card and internet voucher sales at The One Ponsel Store are still done manually. This causes recording errors such as inaccurate stock and missed transactions, and results in long customer waiting times when the store is busy. Another disadvantage of this manual method is the difficulty of tracking sales and stock data in real-time, making it difficult for store managers to make quick and accurate decisions, which results in lost sales potential and operational efficiency. To overcome this problem, the application of web-based information technology is the right solution. The proposed card and voucher sales information system is designed to automate the entire business process, enabling more accurate inventory management, more efficient sales recording, and faster reporting. The Waterfall method was chosen because it provides a systematic framework in the analysis, design, implementation, and testing of the system so that it meets user needs. The results of system testing with Lighthouse showed high performance with scores: Performance 92, Accessibility 88, Best Practices 96, and SEO 90, indicating that the resulting information system is reliable and effective. This system significantly improves the efficiency of stock and sales management at The One Ponsel Store, reduces manual errors, and speeds up the customer service process, providing a positive impact on operations and customer satisfaction.
Pengembangan Sistem Informasi Geografis Pemetaan Tower Base Transceiver (BTS) Berbasis Web Menggunakan Metode Waterfall Muhammad Rivaldi; Khairul Abdi; Imam Adlin Sinaga
Bulletin of Computer Science Research Vol. 4 No. 5 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i5.365

Abstract

Tower Base Transfer Receiver or BTS plays an important role in providing more stable internet services to users. BTS Tower is used as the main access point so that devices can connect to each other and communicate between the same network. Medan Communication and Information Agency as the agency responsible for government affairs in the field of technology and informatics plays an important role in ensuring that BTS Tower operations can run smoothly. One of its tasks is to carry out monitoring, evaluation and reporting activities on information technology infrastructure such as BTS Tower. In carrying out its operational activities, Medan Communication and Information Agency stores data related to BTS Tower in the form of physical documents and digital files such as Microsoft Word & Excel. This will later cause the process of retrieving data related to BTS Tower to be slower because data related to BTS Tower is stored separately. In addition, technicians are often confused because of the large number of BTS Towers spread across various locations. The process of identifying and navigating to the Tower location often takes a long time which causes the maintenance process to be hampered. Therefore, a system was created that can be used as integrated storage that facilitates the process of archiving BTS Tower operational documents. The system that was built also provides a digital map that presents information about the distribution location of BTS Towers that are under the supervision of Medan Communication and Information Agency. The digital map can be used by field technicians for the identification and navigation process to the BTS Tower location, making it easier to maintain the BTS Tower. The system development in this study uses the Software Development Life Cycle Waterfall model. The system is built using the CodeIgniter Framework with the PHP programming language and the MySql database. The creation of digital maps uses the help of Leaflet Library javascript, Google Maps API and also Open StreatMap. The results of this study are Web-Gis which can facilitate the process of archiving documents and viewing data on the distribution of BTS Tower locations under the supervision of the Medan Kominfo service. The test results using the Black-Box testing method show that the features and functions of the system can run properly.

Page 1 of 1 | Total Record : 3