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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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Researchers Productivity Level Clustering Based On H-Index and Citation Using The Fuzzy C-Means Algorithm Orisa, Mira; Faisol, Ahmad
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1984

Abstract

The fuzzy C-Means algorithm is a partition-based clustering algorithm.Fuzzy C-Means is very helpful in modeling data whose distribution has outliers. Outliers are where there is a data object that is far apart from the existing clusters. Fuzzy C-Means groups data by minimizing the membership function of a data set. so that each piece of data can be a member of more than one group. In this study, the dataset used was the paper citation vs. H-index dataset in the Kaggle.com repository. This dataset is known to have outliers in fuzzy C-Means and has better performance compared to the K-Means and K-Medoid algorithms in modeling datasets that have outliers.
Classification of Banana Ripeness Based on Color and Texture Characteristics Ahmad Hafidzul Kahfi; Hasan, Muhamad; Riyan Latifahul Hasanah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1985

Abstract

Banana is one of the most consumed fruits globally and is a rich source of vitamins, minerals and carbohydrates. With the many benefits that bananas have, many farmers cultivate this fruit. The problem that occurs when the harvest is produced on a large scale is the process of selecting bananas that are still unripe or ripe. Usually farmers carry out the selection process manually by visually identifying ripeness based on the color of the fruit skin. However, direct observation has several drawbacks such as subjectivity, takes a long time and is inaccurate. For this reason, we need a system that can help determine the maturity level of bananas automatically through a series of banana image processing processes. One way that can be used to determine the maturity level of bananas is by looking at the color and texture of the bananas. This study aims to classify the maturity level of bananas based on the color and texture characteristics of the banana image using the Gray Level Co-occurrence Matrix and K-Nearest Neighbor methods for the classification process. Based on the results of the research analysis that has been carried out, using the parameter k which has a value of 3 obtains very high accuracy.
Web Based Social Assistance Distribution Monitoring System Using Waterfall Method Usla, Jihan Ula; Ali Ikhwan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1986

Abstract

Currently, the Indonesian nation is in a state of economic crisis, many people are affected by the economic crisis. Social assistance is the provision of assistance in the form of money/goods from the government to underprivileged communities, which aims to improve people's welfare and meet the needs of the community in maintaining their lives during the current economic crisis. The village head is one of the government officials as well as officers from the social assistance distribution with the aim of minimizing the problem. A lot of assistance comes but is not evenly distributed to people in need, it is necessary to have a monitoring system for the distribution of social aid programs so that the assistance distributed remains on target and the quality of budget absorption is optimal. The monitoring process will be carried out by the village head directly to monitor the progress of the distribution of aid and submissions. Therefore, this research will build a web-based monitoring system for the distribution of social assistance. This social assistance distribution system in the form of a website, will contain data on recipients of the family hope program and community submission data. The design of this system uses Unified Modeling Language (UML) and the development of the system uses the Waterfall method which will test the system. With this system, it will help the Village Head in monitoring the distribution of aid and assist the community in submitting it.
Telemedicine Development for Health Center Services Using Agile Methods Lahru Riatma, Darmawan; Masbahah; Anis Laela Megasari; Rizka Adela Fatsena
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1987

Abstract

Puskesmas are the spearhead of health services throughout Indonesia, puskesmas are at the forefront in breaking the chain of transmission of COVID-19 because they are located in every sub-district and have a regional concept. Being at the forefront in handling COVID19 and continuing to provide other primary health services to the community is a tough task for puskesmas throughout Indonesia. In urgent situations and rapidly changing regulations regarding the handling of COVID19 and non-COVID19 patients, telemedicine application development researchers are required to work quickly and precisely according to the needs of the Puskesmas. This study discusses the development of telemedicine applications using the Agile development method, with the Scrum framework. Based on the problems above, researchers will develop telemedicine applications with several health service features, namely; COVID19 independent health checks, village doctor and midwife consultations, medicine orders, maternity services, and dental consultation services, the features in the telemedicine application were developed using the agile scrum method. Telemedicine development begins with system design analysis, UI/UX design, develop, functional testing, usability testing and launching. From the system design analysis, it produces output use case diagrams and class diagrams, according to the needs of the puskesmas business process. UI/UX design is carried out using figma tools, then application development is carried out focusing on the frontend and backend, after the application has been developed, functional testing is carried out three times and usability testing. The results of the usability test conducted on 35 respondents obtained an average score through the SUS questionnaire with a score of 79. In terms of the Acceptability Range, this application program is in the Acceptable category, while on the Grade Scale it is in Grade C position and on the Adjective Rating it is in a Good position . The results show that the telemedicine application for Pusline is good and can be accepted by users.
Vulnerability Assessment with Network-Based Scanner Method for Improving Website Security Laksmiati, Dewi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1991

Abstract

The digital world has seen a significant increase in security threats in recent years, with hacker attacks on websites being a major concern in cybersecurity. One platform that is particularly vulnerable is WordPress, which is widely used and therefore a popular target for hackers. About 95.62% hacked website in 2021 is WordPress based site. Therefore, to improve website security we conducted a vulnerability assessment on a WordPress based website, in order to identify vulnerabilities that may be exploited by hackers. To do the vulnerability assessment, we used the network-based scanner based to detect vulnerabilities on the WordPress website. Our results showed that the website had several vulnerabilities that needed to be addressed and fixed immediately. The conclusion of our research highlights the importance of conducting regular vulnerability assessments on WordPress-based websites to reduce the risk of vulnerabilities being exploited. By taking proactive measures to identify and fix vulnerabilities, website owners can better protect their sites from potential hacker attacks. It is crucial for website owners to be aware of the risks posed by security threats in the digital world and to take steps to mitigate these risks to protect their businesses and their customers.
Base-Delta Dynamic Block Length and Optimization on File Compression Tommy; Riza, Ferdy; Siregar, Rosyidah; Yeni, Manovri; Elhanafi, Andi Marwan; Nurmadi, Ruswan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1993

Abstract

Delta compression uses the previous block of bytes to be used as a reference in the compression process for the next blocks. This approach is increasingly ineffective due to the duplication of byte sequences in modern files. Another delta compression model uses the numerical difference approach of the sequence of bytes contained in a file. Storing the difference value will require fewer representation bits than the original value. Base + Delta is a compression model that uses delta which is obtained from the numerical differences in blocks of a fixed size. Developed with the aim of compressing memory blocks, this model uses fixed-sized blocks and does not have a special mechanism when applied to file compression in general. This study proposes a compression model by developing the concept of Base+Delta encoding which aims to be applicable to all file types. Modification and development carried out by adopting a dynamic block size using a sliding window and block header optimization on compressed and uncompressed blocks giving promising test results where almost all file formats tested can be compressed with a ratio that is not too large but consistent for all file formats where the ratio compression for all file formats obtained between 0.04 to 12.3. The developed compression model also produces compression failures in files with high uncompressed blocks where the overhead of additional uncompressed blocks of information causes files to become larger with a negative ratio obtained of -0.39 to -0.48 which is still relatively small and acceptable.
Decision Support System for Sentiment Analysis of Youtube Comments on Government Policies Udayana, I Putu Agus Eka Darma; I Gusti Agung Indrawan; Putra, I Putu Dwi Guna Ambara
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1999

Abstract

Sentiment analysis is the process of classifying a text dataset as positive, negative or neutral. Youtube is one of the popular media used to provide responses to a problem. In the Jokowi era, infrastructure development was carried out massively and evenly, one of which was in Bali Province, namely the construction of the Mengwi-Gilimanuk Toll Road. The construction of the Mengwi-Gilimanuk Toll Road consumed a lot of people's agricultural land, which resulted in various pro and con responses from the community. From these problems, sentiment analysis is carried out to get community reviews related to the object being analyzed by utilizing algorithms to be able to classify opinions, in the construction of this system the naïve bayes algorithm is used with testing methods namely accuracy, precision, and recall. From the sentiment analysis conducted by utilizing 18 video links on YouTube with 701 comments, it produces positive sentiment as much as 50.64%, negative sentiment as much as 7.70% and neutral sentiment as much as 39.23%.
Serious Games About Indonesia’s Heroes Day for Education About Events 10 November 1945 Abdillah, David Fahmi; K, Ilham Basri; Khotiah, Titik; Galahartlambang, Yanuangga; Arianto, Fery
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2005

Abstract

Heroes' Day is one of important days for Indonesia, is a day that commemorates one of the most important historical events, especially for the Indonesian people. The independence of the threatened Indonesian nation could be defended by heroes who sacrificed their lives against the invaders, where the incident coincided on November 10, 1945. but there are still many young people today who still do not understand the importance of their hero's struggle on that day, and consider Heroes' Day an ordinary holiday. The serious game is one of the game genres that is commonly used to provide learning about a topic by using games as learning media. By utilizing games as learning media, it will be easier for youth to understand the events of November 10 directly. The game is designed as a first-person shooter game developed using Unity with players playing the role of fighters against invaders on November 10, 1945. After playing, players will be given a series of questionnaires that contain events that occurred in the game and provide value to the game application. from the results of the questionnaire, the value obtained from the questionnaire was 69 and the value of the aspects of the game was 3.37.
Forecasting the Number of Patient Visits by Arima and Holwinters Method at the Public Health Center Basri K, Ilham; David Fahmi Abdillah; Titik Khotiah; Jumain; Abdul Rohman
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2008

Abstract

As the number of human populations increases and the economy becomes more advanced, people's awareness of health increases. This can increase the number of patient visits if the community will visit for treatment, therefore it is necessary to pay special attention from the health center to carry out readiness in the fulfillment of facilities and service support equipment, such as services in the outpatient registration place where registration documents must be adjusted to the number of existing patients, if the documents are lacking or have not been made, there can be long queues or accumulation of patients which leads to inadequate service. For this reason, the public health center must carry out careful planning activities, one of which is by conducting forecasting activities in order to overcome these problems.This study compares the best method among the 2 time series methods, then the forecasting results will be compared with the actual data to find which forecasting is the best.The final results showed the MAPE value of the arima method for Direct Patient Visits data was worth 22.55% while the Referral Patient Visits were valued at 47.40% with the Moderate/Feasible category, the Holwinters method for Direct Patient Visits data was worth 7.90% while the Referral Patient Visits were worth 11.90% with the excellent category.can be said that the smallest error value is Holtwinters from Direct Patient Visit data with MAPE 7.90% and from Referral Patient Visit data with MAPE 11.90%. Which is where it is said to be an excellent forecasting category
Simulation Modeling System in Determining the Amount of Oil Inventory Veza, Okta; Larisang, Larisang; Setyabudhi , Albertus L.; Arifin , Nofri Yudi; Agustini , Sherly
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2009

Abstract

Currently, XYZ Gas Stations, in carrying out fuel sales activities, have not yet used a simulation of calculating fuel supply needs at gas stations which functions to support decision making by the leadership, this causes frequent stock shortages at each XYZ gas station branch. because of that the authors are interested in creating a modeling system for calculating fuel inventory simulations using the Monte Carlo method and the LCM pattern. The purpose of this research is to produce a simulated calculation of the supply of purchased fuel so that management knows how much stock of fuel must be provided at each gas station and also to prevent empty fuel stocks at each gas station in the XYZ branch. The data collection methods used in this study were interviews, observations, and literature studies. The system is designed using the JAVA Programming Language. The data processed in this study is transaction activity data for January and February 2022 to determine the amount of inventory that must be provided in March 2022. The final results of the data processing that has been carried out with the trial purchase data transactions for the two current months, namely January and February 2022 to get the simulation results of fuel oil (BBM) supplies in March whose activation has been running with simulation predictions using the Monte Carlo Algorithm.

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