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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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Formalin detection device in Tofu food with telegram monitoring Rio Prayogo; Izza Anshory; Indah Sulistiyowati; Syamsudduha syahrorini
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2393

Abstract

Tofu is a side dish or food used by many people. As a processed food product made from soybeans, white tofu contains protein and high water content so it is very good for the growth of spoilage microorganisms. As a result, tofu is not durable and easily damaged. Damage to white tofu is characterized by a sour and slimy odor. The usual preservation methods for traders include soaking tofu in formalin to make tofu more resistant to decay, resistant to microorganisms, and maintaining its freshness for up to seven days. Formalin to prevent unwanted things. In food Because of the above problems, there needs to be special treatment against excessive use of formalin in food in Indonesia. Formalin should be limited within International Chemical Safety Programme (IPCS) limits for adult foods containing formaldehyde. And also sensors made of polymeric materials combined with activated carbon to detect formalin in food. The development of technology continues with the development of internet products from things that can communicate with each other through the internet. Then a tool was developed to solve the above problem. As part of the research, a formaldehyde detection device will be made in tofu food with a monitoring telegram. The system uses HCHO sensors and a Node MCUESP 32 microcontroller, which is then transmitted through a database that allows you to view through the LCD screen and the Telegram Android smartphone application, of which of course many applications are installed to facilitate this. Users are able to check formalin plates remotely via an internet network connection.
Instant Noodle Production Information System Using The Method Supply Chain Management To Overcome Targets Not Achieved Muhammad Helmi Farhan; Suendri Suendri
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2415

Abstract

Improvement This research aims to analyze and implement an instant noodle production information system using the Supply Chain Management (SCM) method to overcome the inability to achieve predetermined production targets. In this study, an analysis was carried out on the entire supply chain in the production of instant noodles, which includes raw material suppliers, production processes, distribution and sales. The research method used is a qualitative method. The subjects of this study were instant noodle company employees. The results showed that the application of a production information system using the SCM method could help companies increase the efficiency of instant noodle production. With an integrated information system, companies can gain better visibility on consumer demand, raw material inventory, and production status. This allows companies to carry out more accurate production planning, accelerate production cycle times, and optimize resource use
Application of the Single Exponential Smoothing Method For Flood Disaster Prediction Sukardi Sukardi; Anisa Yulandari Anisa; Sri Khaerawati Nur Herha
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2455

Abstract

The country of Indonesia is seen as one that is particularly vulnerable to natural catastrophes as well as calamities brought on by human activity. A disaster that may be brought on by both natural and human sources is a flood. Disasters brought on by flooding are unpredictable occurrences that frequently cause losses in the form of property damage, the theft of assets, and lost productivity at work and in school. Through this prediction information system, the people can find out the level of risk of flooding through excessive rainfall. in order to better anticipate and prepare for all possibilities that occur before the flood, the method used is Single Exponential Smoothing. This method was chosen because of the simple way the system works to find predictive values ??through past data. With this system, researchers can input rainfall data taken from the Meteorology, Climatology and Geophysics Agency, then the data is processed through the system and if rainfall gets high results. The risk of flooding will also be very high and a warning will be given to the public so that better prepared for the risk of flooding. The results obtained from this study are the results of an analysis of the exponential method single to obtain accurate rainfall prediction information with data MAD, MSE and MAPE.
Freshness Detection And Sorting Of Pears Using The TCS-3200 Sensor Moch. Azriel Revanza; Syamsudduha Syahrorini; Akhmad Ahfas
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2470

Abstract

Pears in early autumn can be harvested with the best quality. Pear farmers sort the fruit so that it can be consumed and sold with the best quality. Therefore automatic detection and sorting tools can make it easier for farmers to sort pears. This tool can sort fresh and rotten fruit using the TCS-3200 sensor based on the ESP32 microcontroller. The harvested fruit is collected in a container and the fruit will go out onto the conveyor. The conveyor has a length of 60 cm using a Nema 17 stepper motor that moves automatically, the TCS-3200 sensor is placed in the middle of the conveyor so that it can detect moving pears. The results of the sorting door servo if the fruit is declared fresh then the servo remains closed straight so that the fruit will go to the front container, and vice versa the fruit is declared rotten then the servo will open up so that the fruit will go down. At the end of the conveyor there is an IR sensor which is used to send a signal to the servo motor of the main container door, so that if the fruit has been detected and leads to the IR sensor, the main container door will open and take out new pears. And for data collection the number of pears can be seen through the LCD by calculating the number of pears that have been detected, the number of fresh fruit and the number of rotten fruit, and the overall calculation of the amount of data can be seen through a spreadsheet. In this case, it is hoped that this research can help and facilitate farmers in harvesting fruit on a large scale while being efficient in time and energy.
Design An Automatic Shuttlecock Output Device Using An Arduino Based Servo Motor Fadly Hikmatus Sholichin; Syamsudduha Syahrorini; Arief Wisaksono
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2474

Abstract

Badminton is a sport that uses a racket tool  as a bat and shuttlecock as a bat and the slop itself is a container for placing  a shuttlecock  with a length of 37 cm. Badminton is a sport that the majority of many enthusiasts. And began to emerge associations of badminton players who were then trained by coaches to then make a profession or their own expertise. In general, shuttlecocks are  removed manually and do not know whether the contents of the slop are exhausted or still filled. Therefore,  automatic shuttlecock  storage devices can make it easier for coaches to provide training to students who are in the association of badminton players. This tool can store  shuttlecocks and remove shuttlecocks automatically which are stored in a dislop containing 12 seeds, the microcontroller used is Arduino Uno, the servo motor is used  to remove the shuttlecock that has a dislop and if the  shuttlecock is not filled then the Servo Motor does not run or open to remove the   shuttlecock  so that the slop must be replenished, then the HC-SR04 Sensor above the slop functions as a device that detects whether  the shuttlecock is still there, then there is the  ISD1820 Sensor which functions as an alarm to notify by voice that  the shuttlecock is up and time to refill, then a tripod as the foundation for  this automatic shuttlecock  storage device. The result of this research test is that 12 shuttlecock seeds  were successful. In this case, it is hoped that this research can help and facilitate coaches in training in a badminton player association on a large scale as well as efficiently knowing the exhaustion of shuttlecocks.
The Housing Recommendation System Uses Multi-Criteria Decision-Making Methods Nazori Suhandi; Rendra Gustriansyah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2497

Abstract

Economic and population growth, increasing urbanization, changing habits, new welfare requirements, and lower interest rates have led to increased demand for housing in cities. However, housing conditions in many cities are slightly alarming, while housing is a primary need for the community. Selecting housing for low-income people (LIP) that meets the criteria required by LIP is not an easy task. Because most of the decisions people made did not utilize detailed information. Therefore, a recommendation system for LIP is required. This study aims to develop the housing selection recommendation system for LIP that best suits their wishes. This study integrated two multi-criteria decision-making (MCDM) methods: the Best Worst (BW) method, which has fewer pairwise comparisons compared to other MCDM methods for selecting criteria and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for determining housing recommendations for LIP according to their wishes. Based on the analysis results, ten criteria dominate the housing selection for LIP sequentially: Location, Land Size, Down Payment, Public Facilities, Price, Booking Fee, Home Design, House Specifications, House Quality, and Home Ownership Credit. Furthermore, the sensitivity analysis results showed that the robustness score of this approach was high. The model could recommend housing for LIP that best suits their wishes.
Sentiment Analysis of Covid-19 Bansos Issues on Twitter using Chi-Square and Naïve Bayes Muhammad Fikri Hidayattullah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2556

Abstract

Social assistance or what is often called Bansos (Bantuan Sosial) is assistance in the form of goods or money from the government for the community that is temporary and selective. There were many reports from the public complaining that some had not received assistance or had not received it at all. This problematic social assistance has caused a stir in public reports on various social media, including Twitter. To find out the classification of public opinion related to social assistance on Twitter, it is necessary to do pre-processing and analysis of tweets. The dataset used is data crawled using the Twitter API and produces 702 tweet data in CSV format. Tweets retrieved based on the keyword 'bansos' in August 2021. The dataset is divided into two categories, positive and negative. Data with a total of 328 positive categories and 374 data of negative categories. The method applied in this study uses the Chi-Square feature selection method and the Naïve Bayes Classifier algorithm. The purpose of this research is to produce a website-based application that can classify tweets related to social assistance covid-19 into 2 categories, positive and negative by using the Chi-Square feature selection and the Naïve Bayes Classifier algorithm. The F1 score in the positive class is 85% and the negative class is 89% and produces an accuracy value of 87%. The results of the comparison between Naive Bayes and Naive Bayes using Chi-Square show that there is no difference in accuracy.
Analysis of User Satisfaction with E-Learning Services During the Covid-19 Pandemic Using the PIECES Framework I Putu Agus Eka Yatna Cipta; Made Windu Antara Kesiman; I Gede Aris Gunadi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2557

Abstract

During the Covid-19 pandemic, the education sector has been able to provide assistance for the continuation of the learning process through e-Learning services. E-Learning is an online-based learning and teaching process that utilizes information technology services. E-Learning is specially designed by the institution and integrated with academic progress data to offer the best support to students who have become increasingly familiar with information technology during the pandemic, addressing its limitations. The objective of this research is to measure user satisfaction with the e-Learning service using the PIECES framework. The PIECES framework consists of Performance, Information/data, Control/security, Efficiency, and Service categories. The PIECES framework is employed for analyzing the information system and consists of six variables: performance, information, economic, control, efficiency, and services. Data was collected through questionnaires distributed to 368 students from different graduation years, spanning from 2018 to 2021, who are users of the e-Learning service. Based on the gathered data analysis, the average satisfaction levels for each variable are as follows: performance scored 3.75, information scored 3.82, economic scored 3.84, control scored 3.74, efficiency scored 3.7, and services scored 3.84. Combining these values and referencing Kaplan and Norton, it can be concluded that the overall user satisfaction level with e-Learning falls into the satisfied category
Automated Infusion Monitoring Device Using Arduino-Based IoT (Internet of Things) Budi Wijayanto; Andi Hermawan; Linda Marlinda
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2594

Abstract

Efforts to improve healthcare services in the medical world are being made by implementing rapidly evolving Computer and Information Technology. In the medical field, particularly in infusion procedures, this is the most commonly used device. The function of infusion is to administer fluids or medication into the body through an intravenous route at a constant rate for a specific period. Infusion is performed for patients who urgently need medication or require a continuous and slow administration of fluids due to dehydration. However, during implementation in the field, issues may arise due to a lack of medical personnel and nursing errors, especially considering the ongoing Covid-19 conditions. An automated infusion monitoring device is one of the solutions created to ease the nursing process by monitoring and regulating the infusion flow rate through a monitor that displays real-time fluid volume in the nurse's area. The author employs an Arduino Mega 2560 as the data reader, a Load Cell sensor to measure the weight of the fluid in the infusion, a Servo to control the infusion flow rate, and an ESP module to connect to the server
Implementation of Data Mining in Grouping Data of the Poor Using the K-Means Method Nera Mayana Br. Tarigan; Santa Elisa Br. Tarigan; Alfrida P. Simatupang
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2625

Abstract

Processed, especially data on people who are classified as poor. So that the provision of assistance from the central government or donors is right on target. In village governance, data processing often occurs that is not good and does not use technology, so if any assistance is provided it will make it difficult for the village government to distribute it to poor people. This study aims to classify the data of the poor by implementing data mining and applying the K-means algorithm for grouping data of the poor by applying the K-means algorithm. The research method used is observation research methods and direct interviews to obtain problems and data needed in data processing. The data used is community data. The results of the study obtained that the poor community group was divided into three parts, namely: Poor, Simple, and Able. So it can be seen that there is no shift or change in the data group towards the center of the cluster.

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