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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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Classification of Scholarships for Students in Schools Using the Naïve Bayes Method Rizki Siregar, Awal; Furqan, Mhd.
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.v7i1.5417

Abstract

This research addresses the challenge faced by educational institutions in selecting scholarship recipients by implementing the Naïve Bayes algorithm. The objective of this study is to simplify and improve the accuracy of the scholarship selection process at MTs As-Syarif Kuala Beringin, using data from 50 students. The background highlights the importance of scholarships in providing equal educational opportunities, particularly for students with financial challenges. The research method involves the use of Naïve Bayes to calculate the probability of eligibility based on academic performance, economic background, and student activity. The results show that seven students met the scholarship criteria, demonstrating the efficiency and objectivity of the algorithm. The practical implications include the development of a user-friendly application that facilitates data input, scholarship criteria determination, and clear evaluation results. This system enhances transparency and reliability in decision-making. In conclusion, the Naïve Bayes algorithm proves to be an effective and efficient tool for scholarship selection, enabling a more equitable opportunity for students. Further research could focus on integrating additional data points or comparing the algorithm's performance with other classification methods to enhance system reliability.
Rainfall Prediction in Jayapura City Area Using Long Short-Term Memory Azi, Amanda; Kusrini, Kusrini
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 2 (2025): Forthcoming: Research Article, Volume 7 Issue 2 April, 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i2.5506

Abstract

Jayapura, one of Indonesia’s major fishing cities, relies heavily on accurate weather predictions to ensure the safety of its fishermen, particularly due to its significant tuna and skipjack production. This study aims to improve rainfall forecasting in Jayapura using a Long Short-Term Memory (LSTM) model, a type of artificial neural network designed for time series prediction. Accurate rainfall forecasts are crucial for reducing the risks fishermen face at sea due to sudden weather changes. Daily data from the Meteorological Station in Dok II Jayapura was collected and processed to train the LSTM model, incorporating variables such as TAVG (average temperature), RH_AVG (average relative humidity), FF_AVG (average wind speed), Pressure (air pressure), and Wind_Gust (wind gust). The model’s performance was evaluated using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE), yielding low values of 0.0542 and 0.0847, respectively, indicating high prediction accuracy. The MAE reflects the average magnitude of errors, while the RMSE highlights the model’s sensitivity to larger deviations, both supporting the reliability of the LSTM approach. The findings demonstrate that LSTM models can effectively forecast rainfall in Jayapura, providing valuable information that helps fishermen plan their activities more safely and efficiently. The study concludes that LSTM is a robust tool for rainfall prediction, and the inclusion of additional meteorological variables has proven to enhance accuracy. Further research is recommended to explore other factors to improve prediction reliability.
SHORT-TERM ELECTRICITY LOAD FORECASTING SEASONAL PATTERN USING TIME SERIES REGRESSION (TSR) MODEL IN PT.PLN (PERSERO) MEDAN CITY Rambe, Feby Mayori; Widyasari, Rina
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.v7i1.5533

Abstract

Electricity is a crucial component of modern life, where daily consumption fluctuates significantly. Uncertain electricity demand can lead to imbalances between supply and consumption, potentially causing energy wastage or power outages. To address this issue, a forecasting method capable of accurately predicting electricity load is essential. The Time Series Regression (TSR) model is applied for short-term electricity load forecasting by considering daily and weekly seasonal patterns. The forecasting results indicate that Monday and Tuesday have the highest electricity load, while Sunday has the lowest. When the Kolmogorov-Smirnov test is used to analyse the model, the p-value is 0.9608, which shows that the residuals have a normal distribution. The model's accuracy is assessed with a Root Mean Square Error (RMSE) value of 378.0069 MW, which is relatively high for a small dataset. Given the considerable forecasting error, further improvements such as hybrid models are recommended to enhance accuracy. The implementation of these forecasting results can help optimize electricity management and improve power distribution efficiency.
INFLATION RATE ESTIMATION USING HYBRID ARIMA-ADAPTIVE NEURO FUZZY INFERENCE SYSTEM METHOD Annisa, Nur Alvi; Sari, Rina Filia
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.v7i1.5534

Abstract

Inflation is an important issue that affects the economic stability of a country or region. Unstable inflation will have a negative impact on society, especially on commodity prices including food and energy. Inflation is classified as a time series and will usually recur over time, five years later, or ten years later. , the problem of inflation needs to be studied and analyzed using existing approaches in time series. This research focuses on the application of Hybrid ARIMA-Adaptive Neuro Fuzzy Inference System method for inflation estimation, which is expected to provide a more accurate picture of the price fluctuations of basic needs in North Sumatra. Overall, the results show that the ability of the Hybrid ARIMA-Adaptive Neuro Fuzzy Inference System method in estimating inflation values is quite good with the results tending to be stable and not experiencing many sharp fluctuations. The inflation value is in the range of around -2.69 to -2.73 throughout the predicted period. However, a continuous negative number indicates a price decline or economic pressure, so further analysis or development is needed to understand the cause. The estimation results may help to maintain stability or make desired changes in the future.
Credit Risk Analysis on Motor Vehicle Financing Using the Kealhofer Merton Vasicek Model (KMV) Rambe, Dwi Wahyuni; Rakhmawati, Fibri
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.v7i1.5569

Abstract

The development of the automotive sector in Indonesia continues to show significant growth, in line with the increasing demand for motor vehicles, both cars and motorcycles. Although it has great potential, the vehicle financing sector is not without challenges, particularly related to credit risk. The Kealhofer Merton Vasicek (KMV) model will be suitable for calculating vehicle credit risk because it can predict default (failure to pay) when the borrower reaches the end of the loan term. The objective of this research is to apply the KMV model to calculate the Expected Default Frequency (EDF) value and determine the minimum credit risk. From the analysis and estimation results, the time-to-maturity equity value for motor vehicles was obtained at Rp9.616.709.886 and the time-to-maturity liability value at Rp1.865.460.114, while for cars, the equity value was obtained at Rp2.057.843.305 and the time-to-maturity liability value at Rp468.544.695. Additionally, the Expected Default Frequency (EDF) value for motor vehicles was obtained at 4,26% and the EDF value for cars at 0,01%. The results indicate that the likelihood of default experienced by Adira Finance is low, especially for cars. Therefore, Adira Finance can be stated to have sufficient capital, so the likelihood of default is not high.
Regression Modeling of Zero-Inflated Negative Binomia (ZINB) in Pneumonia Cases in Toddlers in North Sumatra Province Hasibuan, Hani Maulida; Husein, Ismail
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.v7i1.5596

Abstract

Pneumonia is a lung infection that causes inflammation in the air sacs within the lungs. This disease is caused by microorganisms such as bacteria, viruses, fungi, or even inhaled substances. This study aims to identify significant factors influencing the incidence of pneumonia in children under five years old in North Sumatra Province in 2022. In this case, the dependent variable has an excessive number of zero values (excess Zero), leading to overdispersion. By using the Zero Inflated Negative Binomial (ZINB) regression method, significant factors affecting the incidence of pneumonia in children under five years old in North Sumatra Province were identified. The study found that the variable of the number of low birth weight babies (BBLR) (X5) significantly influences the incidence of the disease in North Sumatra Province in 2022. It can be seen from the significant variables affecting the occurrence of pneumonia in children under five, which are 0.0406% (X1), 0.00952% (X2), 0.006506% (X3), and 2.122% (X4).
ANALISA PENGARUH LOG TRANSAKSI PADA SISTEM KOMPUTER MENGGUNAKAN ALGORITMA RECOVERY BERBASIS LOG Sianturi, Fricles Ariwisanto
Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 1 (2019): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v1i1.2

Abstract

This study aims to melakukakan analysis of the effect of the transaction log on a computer based system either on a single system tired, and two tiered through simulated transactions bank system with technology client / server to get a log of transactions on the database system Microsoft Windows SQL Server 2008 R2 management studio a data base. Methods or algorithms are used to analyze the transaction log on the system used is a log-based recovery algorithm.The results based on the analysis, showed that the use of query local database and query the database using sotere procedure to get the transaction log for troubleshooting transactions on the database system via a user interface is built to help job database administrator (DBA), much more good compared with conventional systems. Based on the experiments that the log of transactions to be controlled, in-undo, Re-do, or Rolled-Back, even deleted if no longer required automatically to maintain the scalability of computer users in the future, by setting the growth of a standard database from 10% to > 32%, and the establishment of a maintenance schedule to ensure that the reserve database is always available and up to date.
PENERAPAN METODE BEST FIRST SEARCH PADA PERMAINAN TIC TAC TOE Hutahaean, Harvei Desmon
Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 1 (2019): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v1i1.3

Abstract

encarian adalah proses pencarian solusi di dalam suatu permasalahan sampai solusi atau tujuan ditemukan, atau pergerakan di state-space untuk mencari lintasan dari initial-state ke goal-state. Dalam sebuah permainan TIC TAC Toe proses pencarian ruang keadaan tidak cukup untuk mengotomasikan tingkah laku pemecahan masalah, pada setiap situasi tersebut hanya terdapat sejumlah pilihan langkah yang terbatas yang boleh dilakukan oleh seorang pemain. Masalah-masalah yang akan dihadapi dapat dipecahkan dengan melakukan pencarian (search) dari antara pilihan-pilihan yang ada, terdukung oleh pandangan cara penyelesaian yang biasa dilakukan. Best First Serach bekerja dengan cara melakukan pencarian pada sebuah Graf Berarah yang setiap simpulnya menggambarkan sebuah titik di dalam suatu ruang problema.
SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN JABATAN KAPOLRES DI JAJARAN KEPOLISIAN DAERAH SUMATERA UTARA (POLDA SUMUT)DENGAN METODE SIMPLE ADDITIVE WEIGHT (SAW) Sagala, Jijon Raphita
Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 1 (2019): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v1i1.4

Abstract

Office in policing in the functions of Office, started after the Organization carry out the withdrawal and selection, that is, at the moment a prospective member of the police force was declared acceptable and ready to be placed on the Office or work unit in accordance with the educational unit.But it turns out thatthe problem is not that simple, because it is precisely the success of the overall program of the election office is located on the accuracy in placing personnel concerned.The placement process is a process that is crucial in getting the competent Office is required, because the proper placement will be able to help companies or agencies in achieving the expected objectives. With the method of Simple Additive Weighting (SAW) can assist decision makers in selecting prospective Kapolres who really fit the criteria required by police agencies.So with this system of North Sumatra Police can minimize errors caused by the performance of the Police Personnel, that is, by the way puts personnel at the position or field in accordance with its ability.
PEMBUATAN GAME BERBASIS PEMBELAJARAN MENGGUNAKAN RPG MAKER MV Wahyuni, Sri Ngudi; Andiyoko, Cia
Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 1 (2019): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v1i1.5

Abstract

The RPG game is one of the games are in great demand by the public because they are able to sharpen their right brain. One method used in game development is GDLC which consists of 6 phases, where each phase is arranged systematically. The aimed of this study is how to develop RPG maker game based learning for children cognitive. The analysis method is used SWOT analysis and testing method used ? and ? testing methods on 36 respondents who were taken by random and the response rate was 99.8%. The testing instrument used a questionnaire with testing parameters (1) Design consisting of music, sound, and color (2) Moral Message (3) Storyline. The test of results were 42.5% of respondents said that the development design was considered good, 44.3% of respondents said the game had a good storyline, and 56.3% of respondents stated that the Rise of the Zokai Clan game using RPG Maker MV had a good moral message.

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