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Journal of Computer Networks, Architecture and High Performance Computing
Published by Yayasan Cita Cendekiawan Al Khwarizmi
ISSN : 26559102     EISSN : 26559102     DOI : 10.47709
Core Subject : Science, Education,
Computer Science & IT Education
Journal of Computer Networks, Architecture and Performance Computing is a scientific journal that contains all the results of research by lecturers, researchers, especially in the fields of computer networks, computer architecture, computing. this journal is published by Information Technology and Science (ITScience) Research Institute, which is a joint research and lecturer organization and issued 2 (two) times a year in January and July. E-ISSN LIPI : 2655-9102 Aims and Scopes: Indonesia Cyber Defense Framework Next-Generation Networking Wireless Sensor Network Odor Source Localization, Swarm Robot Traffic Signal Control System Autonomous Telecommunication Networks Smart Cardio Device Smart Ultrasonography for Telehealth Monitoring System Swarm Quadcopter based on Semantic Ontology for Forest Surveillance Smart Home System based on Context Awareness Grid/High-Performance Computing to Support drug design processes involving Indonesian medical plants Cloud Computing for Distance Learning Internet of Thing (IoT) Cluster, Grid, peer-to-peer, GPU, multi/many-core, and cloud computing Quantum computing technologies and applications Large-scale workflow and virtualization technologies Blockchain Cybersecurity and cryptography Machine learning, deep learning, and artificial intelligence Autonomic computing; data management/distributed data systems Energy-efficient computing infrastructure Big data infrastructure, storage and computation management Advanced next-generation networking technologies Parallel and distributed computing, language, and algorithms Programming environments and tools, scheduling and load balancing Operation system support, I/O, memory issues Problem-solving, performance modeling/evaluation
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 795 Documents
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UI/UX Design of The ENC Application as Electronic Nursing Care in Clinical Practice Education for Nursing Students in Hospitals. Minanton, Minanton; Agustina, Habsyah Saparidah; Khoirunnisa, Nurfitria
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3207

Abstract

The implementation of hospital information systems in the digitalization-based era, including medical records, currently shows that there is a need for nursing education to focus on information education, including developing electronic-based practical student nursing care applications. This research aimed to design the user interface and user experience of electronic nursing documentation, named "The ENC". The ENC (electronic nursing care) with a design thinking approach. Designing the user interface (UI) and user experience (UX) used a design thinking approach consisting of empathize, define, ideate, prototype and test. Data collection was carried out at the empathize stage using content questionnaires and interviews. UI/UX design using the Figma application. Application testing with nursing student users based on predetermined scenarios. The ENC (electronic nursing care) application design uses the design thinking method to produce an application prototype that adapts to the needs of nursing students. To validate the efficacy of The ENC application, testing was conducted with nursing student users through predetermined scenarios. The design thinking approach facilitated the creation of an application prototype attuned to the specific requirements of nursing students. Following this, a comprehensive survey involving 30 nursing students was conducted to assess usability, quality, and satisfaction with the application's UI/UX, thereby capturing both positive and negative feedback. The ENC application adapts to the needs of nursing students to ease the transition from paper-based to electronic-based documentation, increase acceptance of the application, and increase its use in the clinical environment.
Utilization of Artificial Intelligence in Predicting Crime Carissa, Joan Stacia; Turnip, Mardi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3208

Abstract

The problem of crime in Indonesia is an urgent issue, with crime rates continuing to increase. High crime rates have serious impacts on societal security, social stability, and economic development. Amidst the complexity of types of crime, motives and methods of handling them, Artificial Intelligence (AI) and Machine Learning (ML) technology has emerged as a promising solution. Through analysis of a literature review with the keywords "AI and crime," this research aims to understand the differences between the use of AI in crime prediction and traditional methods. The literature review method will identify and analyze the latest knowledge regarding the use of AI technology in overcoming crime problems. The use of AI in analyzing crime data, identifying complex patterns, and providing accurate predictions will be emphasized. The research will also explain how AI is able to overcome problems that are difficult to solve with conventional methods. It is hoped that the results of this literature review will provide deeper insight into the potential of AI in reducing crime rates and c reating a safer environment for people in Indonesia.
Implementation of the ORESTE Method in Determining the Selection of Service Ambassador Events Idaman, Akbar; Arahman, Hamjah; Muis, Abdul; Muhammad Raja Gunung, Tar; Eldo, Handry
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3225

Abstract

The selection of candidates to become Service Ambassadors is an important and complex process. Assessors need to consider many factors and the relative weight of each factor to ensure the best candidate is selected for the position. One method that can be used in candidate selection is the ORESTE method. The ORESTE method is a multi-criteria decision-making method developed by J.P. Brans and B. Mareschal in 1994. This method allows assessors to aggregate multiple criteria and consider the relative weight of each criterion to compare alternatives and produce a ranking of candidates based on the highest relative value. In the context of Service Ambassador selection, the ORESTE method can assist assessors in solving complex decision-making problems and ensuring the best candidate is selected for the position. The method allows raters to consider multiple criteria and consider the relative weight of each criterion, resulting in a ranking of candidates based on the highest relative value. Thus, the use of the ORESTE method in determining the selection of Tourism Ambassadors can simplify and speed up the candidate selection process, as well as increase accuracy and satisfaction in decision making. By using the ORESTE method, the results of the decision to select the winner of the Service Ambassador event are obtained with a preference value of 4.42
Identification of Nervosa Disease using Case-Based Reasoning Gunung, Tar Muhammad Raja; Suri, Riko Muhammad; Purnomo, Nopi; Idaman, Akbar; Muis, Abdul
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3227

Abstract

Among teenagers or adults, body shape greatly affects a person's confidence. Most people will be very confident if their body shape is ideal, where the person will be very confident speaking in public. Different things with people who have a body shape that is too thin/fat, so their confidence is less to appear in public. To get the ideal body shape they will do everything possible, one of which is dieting, taking weight loss capsules, and so on. They do not know the dangers of dieting too strictly and taking weight loss capsules carelessly which can make them contract Nervosa disease. To get the results of the expert system, the case-based reasoning method will be used. After this application is built, the result obtained is the type of nervosa disease based on the symptoms felt by the user.
E-mpowering Learning: Innovating Entrepreneurship Education through Digital Media Inclusion and Digipreneur Approach at Andikpas LPKA Class I Palembang Ajismanto, Fahmi; Martini, Rita; Sayuti, A. Jalaludin; Simanjuntak, Tiur; Febrianty, Febrianty; Barovih , Guntoro
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3231

Abstract

This study aims to develop E-Mpowerment learning media that involves the inclusion of Digipreneur entrepreneurship at Andikpas LPKA Class I Palembang. The development method used is the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The study involves education experts, entrepreneurship experts, and students of Andikpas LPKA Class I Palembang as respondents. The result of the development of E-Mpowerment learning media is an interactive digital platform that provides entrepreneurship learning materials tailored to the needs of students at Andikpas LPKA Class I Palembang. The platform is equipped with interactive learning features such as instructional videos, business simulations, and interactive quizzes. Additionally, the platform provides content that can be accessed independently by students and supports Digipreneur entrepreneurship inclusion. This study has generated positive feedback from education experts, entrepreneurship experts, and students. They stated that the E-Mpowerment learning media is effective in improving students' understanding of entrepreneurship concepts, digital skills, and learning motivation. Furthermore, Digipreneur entrepreneurship inclusion provides opportunities for students to develop creativity, innovation, and an entrepreneurial mindset. In conclusion, this study has successfully developed effective E-Mpowerment learning media to enhance entrepreneurship skills among students at Andikpas LPKA Class I Palembang. This learning media provides an interactive and inclusive learning experience through the Digipreneur entrepreneurship approach. It is hoped that this research can serve as a reference for the development of innovative and technology-relevant learning media in the context of entrepreneurship education.
Design And Build A Website-Based Accounting Information System With Extreme Programming Methods Alamsyah, Noor; Murpratiwi, Santi Ika; Albar, Moh Ali; Jatmiko, Andy Hidayat; Huwae, Raphael Bianco; Trieanto, Agil
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3305

Abstract

The need to use information systems in the digital world is absolutely necessary for a company. With an information system, it will be easier for companies to process data, store data and make decisions. One of the information system implementations that companies need is an accounting information system that regulates cash receipts and disbursements. However, currently there are still many companies that still store their transaction data traditionally using Microsoft Excel and are not yet computerized. Based on data obtained from interviews conducted with a company accountant, it is known that errors occurred when processing data which had an impact on financial reports, namely when inputting data into Microsoft Excel there was still data that was missed, resulting in incorrect financial reports. balance due to errors in recording transactions. By implementing a website-based cash accounting information system, it makes it easier for accountants to collect data in the cash book. This information system was created using the PHP programming language with Laravel as the framework and Extreme Programming as the development method. Extreme Programming was chosen because it requires good and regular communication with the client to adjust system needs. This information system consists of 3 iterations which have a processing time of 32 days. System testing was carried out using User Acceptance Testing with an average percentage obtained of 86.8%. These results can be indicated that the system is running properly and can be understood well by the client or user.
Use of RESNET-50 Neural Network in Diagnosing Diseases Mango Leaves Hindarto, Djarot
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3308

Abstract

Using a state-of-the-art convolutional neural network, specifically RESNET-50, for disease diagnosis on mango leaves is the focus of this research. The end goal is to develop a trustworthy method of mango plant disease detection using leaf image analysis. The approach used comprised gathering a sizable dataset encompassing a range of mango leaf diseases. Afterward, a classification system was developed by training the RESNET-50 model on image data. The system is able to learn extraordinarily intricate and profound visual patterns in pictures of mango leaves thanks to RESNET-50's deep and complicated architecture, which improves feature extraction. With a Test Accuracy of 99.16% and a Test Loss of only 0.4332, the results demonstrate a very reliable system. This impressive level of precision verifies that the system is capable of correctly distinguishing and categorizing mango leaf diseases. Consequently, this case demonstrates promising agricultural applications of the RESNET-50 model and offers a dependable and effective means of disease detection in mango plants. This study adds to the growing body of knowledge that can aid agricultural professionals and farmers in the early detection of disease symptoms on mango leaves, allowing for the prompt implementation of preventative measures. These findings also have broader implications, such as the potential for better agricultural productivity and management brought about by the use of comparable technologies for disease analysis in different crops.
Improving Information Security with Machine Learning Sanmorino, Ahmad; Gustriansyah, Rendra; Puspasari, Shinta; Alie, Juhaini
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3317

Abstract

The study Improving Information Security with Machine Learning explores the fusion of machine learning methodologies within information security, aiming to fortify conventional protocols against evolving cyber threats. By conducting a comprehensive literature review and empirical analysis, this scholarly endeavor highlights the efficacy of machine learning in anomaly detection, threat identification, and predictive analytics within security frameworks. Through practical demonstrations, such as z-score-based anomaly detection in network traffic data and NLP-based email security systems, the study illustrates the practical applications of machine learning techniques. Additionally, it delves into the mathematical underpinnings of predictive analytics and the architecture of neural networks for malware detection. However, while showcasing the transformative potential of machine learning, the study also confronts significant challenges. Ethical, legal, and privacy considerations emerge prominently, emphasizing the need for regulations addressing algorithmic biases, ethical dilemmas, and data protection. Moreover, the study emphasizes the practical challenges of scalability, interpretability, continual adaptation to evolving threats, and the harmonious interaction between human expertise and machine intelligence. By offering practical recommendations and future research directions, this scholarly exploration aims to empower researchers, practitioners, and policymakers in navigating the complex intersection of machine learning and information security, thereby fostering innovation and comprehension in this evolving domain.
Analysis of Base Station Replacement Using the Cost-231 Propagation Model and Stanford University Interim (SUI) on the LTE Network in Pauh District, Padang Yuhanef, Afrizal; Zurnawita; Pratiwi, Nadia; Setiawan, Herry
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3331

Abstract

The increase in network traffic is caused by an imbalance between the number of users and the provision of network capacity, causing the decrease of network performance. This is often found in densely populated areas with a large number of users so that the use of cellular access services is fairly high. For this reason, it is necessary to optimize the network, one of which is by replacing existing devices (swap). Site 31140_Lubuk Bukit, Pauh District, Padang is one of the base stations that has a performance issue, which has a low throughput value (±5Mbps) and a high traffic value of 83 GB/day with Flexi Multi Radio device type and sectoral antenna. Therefore, the existing equipment is replaced, from the FMR type to the Airscale type which minimizes the use of sectoral equipment and antenna types (3 sectors) to multisectoral (6 sectors). The measurement process is carried out using two methods, namely the COST-231 propagation model for the frequency of 1800 MHz and the Stanford University Interim (SUI) for the frequency of 2100 MHz then the Key Performance Indicator (KPI) parameters with the parameters of accessibility, retainability, integrity, mobility, usage, propagation loss and receive power. The results showed that the optimization carried out by the swap method could improve the site's performance, namely a decrease in traffic reaching 31.42% and an increase in throughput up to 60% and followed by an increase in other parameters that have met the threshold value.
Using Genetic Algorithm to Solve Puzzle Games: A Review Bukhori, Iksan; Felix, Jason; Ali, Saddam
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3348

Abstract

Puzzles have been recognized for their development as a popular form of entertainment due to their ability to intricately challenge the mind while engendering creativity in the player. The development of puzzle games has given rise to a new generation of puzzle games characterized by diverse sequences and different image variations. With the rapid development of puzzle games, we looked at solving approaches using Genetic Algorithms (GA). In this paper, we try to analyze several puzzle games such as Sliding Blocks, Sudoku, Tic-Tac-Toe, and Jigsaw that can be solved using GA. We found that 120 papers have examined the use of GA for puzzle games, and eliminated into 14 papers. We evaluated these 14 papers for each puzzle game we selected by comparing the chromosome representation, GA operator, GA parameters, and the results. Based on the discussion, the application of GA to solve puzzle games can be effectively executed with a high degree of accuracy. Puzzle games that use measurement methods such as Sliding Block, Sudoku, and Jigsaw run in a similar pattern. What is common to all of them is that the chromosomes are represented as matrices or arrays in all cases, and standard genetic operators such as selection, crossover, and mutation are used. The population size is large, often 1000 chromosomes, and parameters such as mutation rate are kept low, around 5%. On the other hand, the performance of GA for solving Tetris and Tic-Tac-Toe from each publication cannot be compared due to different measurement methods and metrics.

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