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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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Glass Packaged Mineral Water Recognition System Based On Logo Using The Histogram Of Oriented Gradients Method Lina; Fundroo Orlando; Gloria Valerie Lao; Billy Marcelino; Jerry Ruslim
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.v6i1.3199

Abstract

Application of Glass Packaged Mineral Water Recognition System Based on Logo Using Method Histogram of Oriented Gradients is an application program used to introduce brands or logos of glass bottled mineral water. This application was designed on the Windows operating system and uses Python and Open CV software. The methods used in this design are Histogram of Oriented Gradients as a method for feature extraction, Method Euclidean Distance as a method for measuring similarity distance, and k-Nearest Neighbor as a method of recognizing a logo or brand. The average accuracy of the test is 13.575%.
Classification of diseases in snake plants using convolutional neural network Kensa Athalia; Tiffany; Kevin Adhi Dhamma Setiawan; Bertrand Ferrari; Chairisni Lubis
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.v6i1.3201

Abstract

snake plant has an important role in human life, as well as in increasing the aesthetic value of the environment. Limited knowledge about diseases in snake plants has a crucial result in improper handling and control when the plant is attacked by disease. Advances in deep learning technology and Convolutional Neural Network (CNN) have presented high opportunities with their advantages in recognizing patterns and features from image data. This research will use a CNN model with VGG-19 architecture to classify diseases in the leaves of the snake plant. It is expected that by using the pre-trained VGG-19 model, the model can recognize complex visual patterns in snake plants. Diseases to be classified include several types of diseases that often attack snake plants such as anthracnose, rust, water soaked lesion, and healthy plants for comparison. The highest value of training accuracy reached a value of 98.08%, validation accuracy of 94.02%, and testing accuracy reached 94%.
UI/UX Design of The ENC Application as Electronic Nursing Care in Clinical Practice Education for Nursing Students in Hospitals. Minanton Minanton; Habsyah Saparidah Agustina; Nurfitria Khoirunnisa
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 Joan Stacia Carissa; Mardi Turnip
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 Akbar Idaman; Hamjah Arahman; Abdul Muis; Tar Muhammad Raja Gunung; Handry Eldo
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 Tar Muhammad Raja Gunung; Riko Muhammad Suri; Nopi Purnomo; Akbar Idaman; Abdul Muis
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 Fahmi Ajismanto; Rita Martini; A. Jalaludin Sayuti; Tiur Simanjuntak; Febrianty Febrianty; Guntoro Barovih
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.
Electronic Archive Design With RC4 Cryptographic Based File Security sulistiyanto sulistiyanto; Indra Satriadi; Arif Rahman
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.v6i1.3298

Abstract

The transformation of archival document storage systems is starting to shift from physical formats that require a lot of space and storage equipment to the electronic or digital realm (often called electronic archives). This is considered to reduce the costs of procuring equipment and storage space. In line with changes in paperless storage patterns, the issue of data security and confidentiality becomes important, so that information from documents to be archived can be maintained and cannot be used by irresponsible people. One technique for securing documents digitally is to use cryptography and the algorithm chosen is Rivest cipher 4. The RC4 (Rivest Chiper 4) algorithm was chosen because the execution speed in file encryption is faster than other algorithms. This article aims to implement the RC4 algorithm into an electronic archive (e-Archieve) application. The application development method uses the waterfall method with 5 stages. The application was built using the PHP programming language and MySQL database, as well as the Rivest Cipher 4 cryptographic algorithm. The result of the application development is an electronic archive website. Every file uploaded to the server can be encrypted by the admin. Encrypted files will change to random characters like a virus. The application was tested using black box testing techniques, where all features worked as expected
Design And Build A Website-Based Accounting Information System With Extreme Programming Methods Noor Alamsyah; Santi Ika Murpratiwi; Moh Ali Albar; Andy Hidayat Jatmiko; Raphael Bianco Huwae; Agil Trieanto
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 Djarot Hindarto
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.

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