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Nurul Khairina
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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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Design and Implementation of a Waste Bank Application and Volunteer Platform for Marine Waste Reduction on the Southern Coast of Java Danny, Ramanda; Saputra, Indra; Dealank, Reynant Phaza
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.4944

Abstract

Marine waste along the southern coast of Java, Indonesia, presents a critical environmental issue caused by ocean currents, tourism, and local industrial activities. This accumulation disrupts marine ecosystems and threatens the livelihoods of coastal communities. The lack of accessible and efficient waste management systems exacerbates the problem, highlighting the need for innovative solutions to foster community involvement and environmental awareness.To address this challenge, this study introduces a waste bank application prototype designed specifically for the region using a design thinking approach. This methodology involved five stages: Empathize, Define, Ideate, Prototype, and Test. Data collection included interviews and surveys with local stakeholders, which identified key needs such as waste accumulation tracking, incentive-based participation, volunteer coordination, and environmental education for children. These findings guided the development of features like a contribution-based incentive system, event coordination, and a game to teach waste separation to younger users.The prototype underwent independent testing to evaluate its usability and effectiveness. Results demonstrated that the application successfully enhanced community engagement, offering a user-friendly platform that combines waste management with education. The inclusion of real-time tracking and rewards motivated active participation, while the educational game increased awareness among children.This study underscores the importance of collaborative, user-centered technology in addressing environmental challenges and provides a scalable model for sustainable waste management in coastal regions.
The Implementation of Interactive Learning Media Utilizing Quizizz at SMAN 2 Rambah Yunita, Nova; Amelia Chandra, Detri
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5000

Abstract

The aim of this research is to find out how effective the use of Quizizz-based interactive learning media is by class XI Science students at SMAN 2 Rambah in the Informatics subject with computer network material. A quantitative method was used, with a questionnaire created by the school's Guidance and Counseling (BK) teacher to measure the level of student boredom before and after Quizizz. A Likert scale was used for data collection. Descriptive analysis, normality test, homogeneity of variance test, and difference test (paired sample t-test) were used to analyze the data obtained. All these techniques are used with the help of the SPSS program. The results show that Quizizz increases student participation in learning and significantly reduces student boredom. Before Quizizz was used, the average burnout score was 41.96. However, after use, this score dropped to 19.79. It was shown by the difference test that this difference was significant (p < 0.05). With this reduction in boredom levels, it is clear that Quizizz not only makes learning more interesting, but also makes learning fun and competitive. However, obstacles such as teachers' limited digital skills and difficulties in obtaining technology in remote areas still need to be overcome. According to this research, Quizizz can be a great interactive learning tool that gets students more engaged in learning, especially in high school.
Development of the ENC Android Application for Electronic Nursing Care Minanton, Minanton; Khoirunnisa, Nurfitria; Habsyah Saparidah Agustina
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5017

Abstract

The rapid digitalization of the healthcare sector is transforming nursing education and practice, particularly in the area of clinical documentation. In Indonesia, as mandated by Peraturan Menteri Kesehatan Nomor 24 Tahun 2022, all healthcare facilities must document patient medical histories electronically. However, nursing students face challenges in practicing electronic documentation due to limited access to hospital-based EMR systems. This study aims to develop an Electronic Nursing Care (ENC) application as an Android-based platform for nursing students to practice digital documentation aligned with national nursing standards, such as SDKI (Indonesian Nursing Diagnosis Standards), SLKI (Indonesian Nursing Outcomes Standards), and SIKI (Indonesian Nursing Interventions Standards). The ENC application was developed using an Agile methodology, consisting of five sprints: backend development, core features, UI/UX integration, advanced features, and comprehensive internal testing. A 2023 prototype trial demonstrated high user satisfaction, with 93% of students expressing satisfaction with the app’s user interface and experience. The ENC application was designed to reduce the administrative burden on nursing students by offering tools for documenting the nursing process, including assessment, diagnosis, planning, implementation, and evaluation. The initial results indicate that the application meets technical specifications and has the potential to enhance nursing education by providing a structured, user-friendly platform for digital documentation. The study suggests further pilot testing in clinical settings, development of additional features, and ongoing evaluation to ensure the application’s success in nursing education and clinical practice.
Analysis of Basic Testing Using Smoke Testing in Asset Inventory Information Systems Anardani, Sri; Jayadi, Puguh; Harly, Daniswara Andhika Putra
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 4 (2024): Articles Research October 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i4.5045

Abstract

The creation or development of a system must go through a testing phase with the aim that before the system is implemented by the user, bugs or errors can be detected at the start. The PGRI Madiun University Asset Inventory and Documentation Unit (UIAD) is currently building and developing an information system for managing inventory, asset and document data. So far, data management still uses manual recording on paper forms. This creates a problem of inconsistency between data in the field and data in the unit. To improve the quality of the UIAD information system so that it is more optimal, it is necessary to carry out basic testing with smoke testing to ensure that the basic features function properly.  The aim of this research is to test the basic functionalities of the UIAD information system with smoke testing to provide recommendations for improvements in order to improve the quality of the UIAD information system. Testing is carried out manually with 3 types of test cases, namely login test case, master test case and asset test case. The test results show that the login test case passed 100%, the master test case passed 100%, and the asset test case passed 80%. Based on the test results, it is very important to carry out smoke testing on the basic functions of the system before the system is used so that bugs or errors can be found so that corrective action can be taken more quickly.
Comparative Analysis of Earthquake Prediction with SVM, Naïve Bayes, and K-Means Models: Comparative Analysis of Earthquake Prediction with SVM, Naïve Bayes, and K-Means Models Muttaqin, Ahmad Fadhiil; Sunge, Aswan Supriyadi; Zy, Ahmad Turmudi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5085

Abstract

Earthquakes are natural disasters with significant impacts on people and the environment, so effective methods for prediction are needed to improve preparedness and risk mitigation. This study analyzes the performance of three algorithms Support Vector Machine (SVM), Naïve Bayes, and K-Means in predicting earthquakes in Indonesia using a dataset containing 4,645 historical data from BMKG processed through preprocessing, data separation, analysis, and performance evaluation with RapidMiner tools. The results show that SVM has the best performance with 99.87% accuracy, 99.83% precision, and 95.61% recall, making it highly relevant for earthquake prediction. Naïve Bayes achieved 90.31% accuracy and 95.08% recall, but the low precision (57.24%) shows the limitations of this model. K-Means successfully clusters earthquakes into two categories: small (3,661 data) and large (55 data) earthquakes, with a Davies-Bouldin Index value of 0.579, reflecting good clustering quality. Based on these results, SVM is recommended as a superior earthquake prediction model, while Naïve Bayes and K-Means are more suitable for additional analysis. This approach confirms the potential of machine learning algorithms in supporting future earthquake risk mitigation.
Utilization of the Kutuh Village Tourism Website in Optimizing E-Tourism Based Tourism Village Promotion Putera, Wayan Andrika; Rahardian, Rifky Lana; Pradipta, I Made; Sukawidana, I Wayan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5099

Abstract

Kutuh Village is one of the villages in the south of Bali Island. Kutuh Village has tourism potential for international and domestic visitors. To increase the number of visitors to Kutuh Village, more support is needed to promote tourism in Kutuh Village. One thing that can be developed is E-Tourism. This service can be provided via a website, easily accessed anywhere and anytime using digital tools. Therefore, it is necessary to design an e-tourism application as a web-based tourism promotion in the Kutuh Tourism Village. So that it can attract more visitors in line with the objectives of this research. This web-based application has 2 users, namely visitors and admin. Visitors can view information about tourist attractions and events on this application in Indonesian and English. Apart from that, visitors can provide rates and comments in the application. This application system uses PHP as a programming language. Using waterfall as a system development method, in collecting data using observation methods, literature studies and similar literature. The system design uses DFD (Data Flow Diagram), ERD (Entity Relationship Diagram), conceptual database, table structure and then implemented. The positive feedback from the 11 respondents from Kutuh Village, who rated the application with an average score of 90.59%, suggests a high level of acceptance and satisfaction among local users. With the existence of e-tourism, the Kutuh Tourism Village is expected to increase tourist visits
UI UX Design of Waste Sorting Website-Based Application Applying the Design Sprint Method Case Study Palmerah West Jakarta Abiansyah, Adillah Halim; Hanif, Isa Faqihuddin; Fauzan, Muhammad Fathan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5103

Abstract

Public awareness that is increasingly paying attention to environmental problems requires public awareness to manage waste in a more efficient way. Due to the lack of understanding and appropriate methods for sorting waste, solutions different from conventional methods must be sought. Technology has become an important part of innovation in management. User Interface (UI) and User Experience (UX) are increasingly considered important in meeting user needs due to new interaction patterns with technology. The aim of this research is to understand and meet user needs in waste sorting. Therefore, the author has found a solution by creating a UI/UX design for an interactive waste sorting application. This study was conducted using the design sprint method which consists of five steps: understand, differentiate, decide, create a prototype, and verify. The results of tests carried out using the system usability scale method produced a score of 75, which shows that this application makes it easier for users to sort waste more efficiently and environmentally friendly.
SI-Konseling For Analyzing The Effect Of Stress Levels On Students' Academic Using K-Means Algorithm Wangi, Putri Sekar; Triase, Triase
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5113

Abstract

Along with the rapid development of information technology, the world of education is also developing towards the digitalization era. Therefore, the use of information technology is needed to support the progress of the world of education. At SMA Negeri 6 Pematangsiantar, students who receive counseling guidance are students who do not obey school regulations such as undisciplined behavior in learning activities and extracurricular activities. According to psychologists, there is a relationship between negative behavior and the level of stress experienced by children. Signs that a child is experiencing stress include anger, aggressive behavior, and disobedience. It could be concluded that one of the triggers for negative behavior in children at school can be caused by stress. This study was conducted to determine the effect of student stress on their academic grades. By applying Data Mining using K-Means Clustering Algorithm, students can be grouped based on stress levels and academic achievement. So that a potential relationship can be found between these variables. In addition, the use of a counseling information system can improve the implementation of counseling to be more effective and efficient. Based on the research results, by collecting 960 student samples that will be used as calculation samples, the value of cluster one (C1) is at the average academic value (sufficient) with a moderate stress level percentage and cluster two (C2) at the average academic value (good) with a low stress level percentage. So it can be concluded that the percentage of stress experienced can affect their academic value.
Analysis of C4.5 Algorithm Performance for Predicting Student Achievement Based on Socio-Economic Status, Motivation, Discipline, and Past Achievement Purnama, Dimas Lucky Satya; Apsiswanto, Untoro
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5143

Abstract

Learning outcomes are changes that a person undergoes when learning. Learning outcomes can be in the form of changes in cognitive, affective, and psychomotor abilities depending on the learning objectives Student learning outcomes vary depending on each student's individual circumstances. Various factors such as family conditions, school environment, interests, motivation, and past achievements determine the success of learning outcomes. The problem occurring at SMK Negeri 4 Kota Metro is that the students come from various villages in the city. They mostly come from underprivileged families with low education levels. In addition, they are less motivated to study due to factors related to their family environment and the surrounding community. Most of the students at this school do not have good achievements in academic or non-academic fields.This research aims to predict student academic performance based on the socioeconomic status of parents, motivation, student discipline, and past achievements using data mining methods with the C.45 algorithm. For comparison, the research data was also analyzed with. The research approach used is quantitative. The subjects of this research are 606 students from the 10th grade of SMK Negeri 4 Kota Metro. The data collection techniques used were documentation and questionnaires. The research results show that the prediction analysis using decision tree has an accuracy of 98.02%, precision of 94.44%, recall of 77.27%, and AUC of 0.96.
Prediction of the Number of Patient Visits in a Psychiatric Hospital Prof. Dr. M. Ildrem Using Naive Bayesian Algorithm Syahputra, Zidhane; Kurniawan, Rakhmat
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5145

Abstract

This study was conducted to predict the number of patient visits at Prof. Dr. M. Ildrem Mental Hospital using the Naive Bayes algorithm, which is relevant given the increasing need for global mental health care. The main problem of this study is the difficulty in managing hospital resources efficiently due to unpredictable fluctuations in the number of patient visits. The research aims to apply the Naive Bayes algorithm to predict the number of patient visits and evaluate their performance. The method used is a naïve Bayes algorithm with systematic steps including historical data collection, data preprocessing using LabelEncoder, and dividing the dataset into training data and test data (80:20) where the training data totals 1331 data and the test data has 333 data. The Naive Bayes model is built and tested with metrics such as accuracy, precision, recall, and F1-score. The results of the study based on confusion matrix analysis, the model achieved an accuracy of 0.8108108108108109 or 81%, a precision of 0.8206686930091185 or 82.07%, a recall value of 0.9926470588235294 or 99.26%, and an F1-score of 0.90 or 90%, which shows that this model is quite effective in predicting service units with the dominance of adolescent category patient data where it is concluded that this prediction model is able to provide accurate estimates of patient visits,  supporting the management of hospital resources, and improving the operational efficiency of mental health services. This research is expected to help hospitals in planning facilities and workforce more effectively.

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