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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 15 Documents
Search results for , issue "Vol. 4 No. 2 (2024): Februari 2024" : 15 Documents clear
Perancangan Aplikasi Rekomendasi Jenis Kandidat Web Programmer Menggunakan Metode Weighted Aggregated Sum Product Assesment Herman; Didik; Andy
Bulletin of Computer Science Research Vol. 4 No. 2 (2024): Februari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i2.336

Abstract

Thanks to the development of technology in this digital era, web-based software has become popular and widely used in various fields of life. In order to design a good quality web, a reliable web developer is needed to perform tasks according to their respective expertise. Web developers themselves are divided into three types, namely front-end, back-end, and full-stack developers. The problem encountered is the difficulty of recommending the type of web developer candidate by manually calculating and analyzing the candidate's ability. Inaccuracy in the calculation process will affect the results of the assessment in the recommendation. Therefore, this research aims to build an application that can solve the problem of calculating and assessing the type of web developer candidate using the Weighted Aggregated Sum Product Assessment (WASPAS) method. The WASPAS method was chosen because of its ability to combine various assessment criteria and provide more accurate and objective results. The designed application is expected to assist companies in identifying candidates that best suit their needs, reduce errors in the selection process, and increase the efficiency and effectiveness of recruitment. Thus, companies can more easily find the right and high-quality web developers, according to the expertise needed for their projects.
Implementasi Algoritma C4.5 Untuk Deteksi Dini Penyakit Diabetes Mellitus Pada Manusia Chandra; David; Hendri
Bulletin of Computer Science Research Vol. 4 No. 2 (2024): Februari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i2.337

Abstract

Diabetes is classified as one of the fastest growing life-threatening chronic diseases which has affected 422 million people worldwide according to the World Health Organization (WHO) report, in 2018. Therefore, it is very important to carry out early detection of DM disease because if the disease If left for too long without treatment, it can result in dangerous complications such as kidney failure, damage to the function of other organs to heart attacks. In this research an information system will be built by applying the C4.5 data mining algorithm for early detection of Diabetes Mellitus in humans. The dataset in this study was taken from the Kaggle Diabetes Dataset. The results of the study show that the information system built can assist the medical world in early detection of Diabetes Mellitus in humans through a predictive feature that implements the C4.5 algorithm. In addition, the results of testing the C4.5 algorithm show that the algorithm is classified as accurate in predicting early detection of Diabetes Mellitus if it follows the decision tree rules that are formed.
Perancangan Sistem Informasi Pengklasifikasian Rumah Sakit Menggunakan Algoritma K-Means Clustering Jackri Hendrik; Joni
Bulletin of Computer Science Research Vol. 4 No. 2 (2024): Februari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i2.338

Abstract

Public facilities are facilities provided for public purposes such as roads, street lighting, bus stops, sidewalks, and crossing bridges. The facilities provided are facilities that provide convenience for the community so that they must be properly maintained. Pedestrian facilities function to separate pedestrians from vehicle traffic lanes to ensure pedestrian safety and smooth traffic. Hospitals have a classification according to the Regulation of the Minister of the Republic of Indonesia Number 56 of 2004 concerning Hospital Classification and Licensing. This is in line with research conducted by researchers that not all hospitals treat all problems/diseases that arise in sick individuals, there are classifications that have been stated in these regulations. Text mining is text analysis where data sources are usually obtained from documents, and the goal is to find words that can represent the contents of the document so that an analysis of the  relationships, linkages and classes between documents can be carried out. The Hospital Classification Information System created can classify hospitals based on the data entered which can be accessed using an Android-based smartphone. This Hospital Classification Information System was created using the K-Means Clustering Method in hospital classification.
Penerapan Metode Webqual 4.0 Dalam Pengukuran Kualitas Website Awicoffee Robet; Agus Maringan Siahaan; Satriya Miharja
Bulletin of Computer Science Research Vol. 4 No. 2 (2024): Februari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i2.339

Abstract

The measurement of Awicoffee’s website quality was conducted with the aim of enabling the website owner to develop aspects that have low value, so that they can continue to develop in line with the times. The data used for this research is the result of questionnaire distribution given to 100 respondents. Website quality measurement is carried out using the webqual 4.0 method with 3 aspects assessed, namely Usability, Information Quality, and Service Interaction Quality. The purpose of this research is to determine the satisfaction value of Awicoffee website users and to determine the most significant instrument in determining  user satisfaction. Based on the research results, it was found that these three variables have an influence of 76.59% on user satisfaction, while 23.41% is influenced by variables that were not examined. Also, the variable that has the most significant impact on user satisfaction is Information Quality with a value of 5.97, whereas the Usability variable has a value of 3.42 and the Service Interaction Quality variable has a value of 3.30.
Implementasi Algoritma Profile Matching Dalam Menentukan Penyakit Menular Pada Hewan Sugar Glider Pieter Octaviandy; Leony Hoki; Robby Wijaya
Bulletin of Computer Science Research Vol. 4 No. 2 (2024): Februari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i2.341

Abstract

In Indonesia, Sugar Gliders are still not classified as endangered animals, but quotas have been imposed to regulate the capture of Sugar Gliders. The Sugar Glider (Petaurus Breviceps) is a nocturnal marsupial mammal. In addition, Sugar Gliders are often called "pocket pets" because these animals like to live in the pockets of their adopters' clothes. It's called the Sugar Glider because this mammal likes sweet food and can float like a flying squirrel. This ability to levitate is due to a membrane that stretches between its two legs called the Patagium. Even though Sugar Gliders have been kept a lot, most animal lovers do not understand proper care and the types of diseases that can attack Sugar Gliders. In addition, only a small number of veterinarians understand the Sugar Glider thoroughly, and the cost of treatment is quite expensive. The rapid development of computer technology provides convenience in accessing various aspects of life, one of which is the medical field. In this study using the Profile Matching method as a calculation method. This method adheres to multi-variable decision-making with elements of objectives and objectives. The researcher chose this method because Profile Matching considers logical consistency in the assessment used to determine priorities so that there are not many alternatives. Application of Determination of Infectious Diseases in Sugar Glider Animals, which was made using the profile matching method in determining infectious diseases in sugar glider animals. Application for Determination of Infectious Diseases in Sugar Glider Animals which is made with a mobile-accessible system so that use is efficient and fast

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