cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Nurul Khairina
Contact Email
nurulkhairina27@gmail.com
Phone
+6282167350925
Journal Mail Official
nurul@itscience.org
Editorial Address
Jl. Setia Luhur Lk V No 18 A Medan Helvetia Tel / fax : +62 822-5158-3783 / +62 822-5158-3783
Location
Kota medan,
Sumatera utara
INDONESIA
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
 9   10   11   12   13 
College Ranking Analysis Using VIKOR Method Adidtya Perdana; Arief Budiman
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 2 (2021): Journal of Computer Networks, Architecture and High Performance Computing, July
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i2.1071

Abstract

College ranking is the main thing used as a basis to attract prospective new students. Prospective new students will generally look for related information from which universities are the best to choose in the future. In the ranking of universities based on the official page of the Ministry of Research, Technology and Higher Education, the ranking of universities, both public and private, can be a reference for recruiting prospective students. The better the college ranking, the more attractive prospective new students are. To determine the ranking of a university, a decision support system is needed. There are many methods available from the decision support system, but in this study, the author will use the VIKOR method (Visekriterijumsko Kompromisno Rangiranje), which is part of the MCDM (Multi-Criteria Decision Making), as a solution to these problems. The VIKOR method is a multi-criteria optimization method that can be used on fairly complex systems. In this study, the sample data used came from 10 universities in the city of Medan, where the initials of each naming were colleges A to J. From the results of research analysis using the VIKOR method, the ranking results were as follows, where college B got the first rank with the lowest score of 0. Then the second rank was college G and in the third rank was college H with each score of 0.248211396 and 0.304702661. For the fourth, fifth, sixth, seventh to tenth ranks, they are sorted from colleges A, I, C, E, F, D, and J.
Application of the AHP Method for KIP Recommendation Applications -College Students Eri Satria; Dirja Nur Ilham; Arie Budiansyah; Rudi Arif Candra; Miswar Papuangan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 2 (2021): Journal of Computer Networks, Architecture and High Performance Computing, July
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i2.1112

Abstract

The Smart Indonesia Card (KIP) is an assistance in the form of cash from the government given to students whose parents are less able to finance their education, as a continuation and expansion of the targets of the Poor Student Assistance (BSM) program. KIP has a goal, namely to increase access for children aged 6 (six) to 21 (twenty-one years) to obtain educational services until they graduate from high school to support the implementation of Universal Secondary Education / Pilot Compulsory Education 12 (twelve) years, prevent students from the possibility of dropping out of school or not continuing their education due to economic difficulties. The KIP-Kuliah, formerly known as Bidikmisi, is presently in service. They may find it difficult to determine who is a qualified candidate to become a recommendation for KIP-Kuliah recipients who will be presented to the system since many variables and assessments will be passed in determining the prospective KIP-Kuliah recipients. Therefore, from this problem, a system is needed that can quickly and accurately assess the eligibility of KIP-Lecture recipients without having to sort out the files that have been collected one by one. As a result, it is deemed necessary to develop a decision-making system to address the existing issues. The steps of research that will be carried out to create a decision support system will collect criteria and sub-criteria from the assessment and then enter them into the calculation formula or method employed, namely the AHP method.
Determining Goods Delivery Priority for Transportation Service Companies Using SAW Method Sumaizar Sumaizar; Kalvin Sinaga; Eko Deswin Siringo-ringo; Victor Marudut Mulia Siregar
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 2 (2021): Journal of Computer Networks, Architecture and High Performance Computing, July
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i2.1154

Abstract

This research was conducted aiming to overcome the problem of the effectiveness of the delivery of goods by the Cendrawasi Expeditionary Company which at this time still does not use a decision support system approach. For the process of delivering goods to customers to be carried out effectively, a decision support system is designed that functions to determine the priority of goods to be delivered first. This problem is solved by designing a decision support system using the Simple Additive Weighting (SAW) method which serves to help the Cendrawasi Expeditionary company get recommendations for priority delivery of goods. The SAW method is very appropriate to be used as a decision support tool where in this study three alternative choices of goods that must be delivered first were obtained, namely plywood with a preference value of 99,6, mattress with a preference value of 83,55, and PVC pipes with a preference value of 79,35.
Development Of E-Research Information System To Support Research Management (Case Study of Wastukancana University) Bayu Prasetio; Irsan Jaelani
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 1 (2022): Article Research Volume 4 Number 1, Januay 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i1.1148

Abstract

E-research management is an implementation mechanism of information and communication technologies on the research management so that the research runs effectively and efficiently. E-research STT Wastukancana is an information system for submission of a thesis title and undergraduate internship but there are still many incomplete features, so it needs system development so the system can run well. Therefore author does the development system of e-research STT Wastukancana Web-Based so that admin, students, and lecturers can carry out business processes well on online system mode. The result of this research is an information system that can help out and ease users in doing business processes and information around e-research STT Wastukancana
Design And Build The AMANAH Vocational School Main Book Application Using The Waterfall Model Nur Ali Farabi; Hasta Herlan Asymar; Rachmat Hidayat; Dimas Muslim Setiawan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 1 (2022): Article Research Volume 4 Number 1, Januay 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i1.1166

Abstract

The benefits of information technology in the field of education include improving educational services, facilitating the collection and dissemination of educational information, educational data storage media, improving teaching skills, motivating students, thus helping communication activities in education. The concept of this information system has the effect of transforming the filling of the conventional ledger into digital form, by carrying out this transformation it can affect the easier filling of the master book and secure data storage and a longer time. After the process of accepting new students at SMK AMANAH is completed, the administrative officer or administrative administration enters student data, the value of student report cards per semester into the student master book, the difficulties encountered by administrative officers during the process of entering the data, officers have difficulty in terms of The main book used has a large size and the storage of the master book is still less effective and does not last long because it can be damaged, even though the master book should be able to be used for a long time as a document that is needed at any time. The research method used to design a student master book system is to use the waterfall or waterfall method to produce a design for the school's main book information system (SIBIS). Starting from the login page, the new student registration page, the grade submission page, and reports to help the school.
Application Prototype Attendance System Garuda Indonesia's Premium Service Assistant Employees Use The Waterfall Model Arief Satriansyah; Devy Ferdiansyah; Jery Rinaldo
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 1 (2022): Article Research Volume 4 Number 1, Januay 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i1.1189

Abstract

In the era of information technology which has developed rapidly, it becomes a challenge for users of information technology and encourages every activity of the organization to be able to use it as a support for work activities so as to produce fast and accurate information. PT Garuda Indonesia Tbk as a company engaged in commercial air transportation services that requires good management in employee attendance, special data collection needed to record attendance that can be well organized. The employee attendance process still uses the manual method even though it has been assisted by existing technology, namely using WhatsApp group media every day with a predetermined format and making chat results that have been carried out without a report recap for one month which risks losing attendance data and failures that have occurred. can harm the company. Based on these problems, an attendance system application prototype was made in order to minimize errors. The research method used includes observation, interviews, and literature study. While the system development method using the Waterfall model includes analysis, design, manufacture, testing and system maintenance. The prototype system application that will be developed is expected to be able to build this attendance system more quickly and precisely.
Planning Model and Questionnaire for Measuring MSME Performance through (TOE) Technology Organization Environment: indonesia Ade Onny Siagian; Ninuk Riesmiyantiningtias; Rizky Amalia
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 1 (2022): Article Research Volume 4 Number 1, Januay 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i1.1213

Abstract

MSMEs (Micro, Small and Medium Enterprises) as one of the factors driving the economy in Indonesia are experiencing the Covid-19 pandemic crisis which has led to the activities of the Indonesian people. This will indirectly affect the activities of human life, including the buying and selling process. Buying and selling activities that are usually carried out face-to-face can not be carried out normally due to activities from the government so that it indirectly affects the sales results of business actors, including MSME actors. During this pandemic, there was a very significant decline and caused deep anxiety for MSME actors such as payment of employee salaries, daily operational costs, and others. The existence of this phenomenon or incident has resulted in MSMEs having to rack their brains in order to survive in the midst of the ongoing crisis. In order to continue to survive, MSMEs use social media to promote sales, or make sales online with social media. The purpose of this study was to determine the effect of social media adoption on the performance of MSMEs. This research method is carried out in several stages which include problems, literature review about the research model, research design, making instruments that produce questionnaires. The result of this study is produces a research model related to the adoption of social media on the performance of MSMEs which is supported by the dependent variable of the Technology-Organization-Environment (TOE) framework, as well as a questionnaire.
Comparison of Decision Tree and Linear Regression Algorithms in the Case of Spread Prediction of COVID-19 in Indonesia Darwin Darwin; Dwiky Christian; Wilson Chandra; Marlince Nababan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 1 (2022): Article Research Volume 4 Number 1, Januay 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i1.1234

Abstract

COVID-19 is a disease that was first discovered in Wuhan, China and caused the 2019-2020 coronavirus pandemic. This virus can cause respiratory tract infections such as flu when infecting humans. According to Ministry of Health of the Republic of Indonesia, the number of confirmed cases of COVID-19 in Indonesia at March 2021 is 1,511,712 with 40,858 deaths and 1,348,330 recovered. For that, Indonesia is declared to have the highest confirmed cases in ASEAN. Several studies have been carried out to handle some cases by using the data mining techniques such as Decision Tree or Linear Regression algorithm, as example to classify the respiratory diseases and predict pregnancy hypertension. In this study, we tried to analyze COVID-19 cases in Indonesia and conducted an experiment of predicting COVID-19 new cases with the Decision Tree (CART) and Linear Regression algorithms. Then we will compare the values of these two algorithms by using R2 Score to evaluate the prediction performance. The results of this analysis state that DKI Jakarta province has the highest number of positive cases, cures and deaths in Indonesia. The value of the comparison results from the R2 Score obtained in the Decision Tree algorithm reached 95.69% (training) and 92.15% (testing) while the Linear Regression algorithm reached 79.93% (training) and 77.25% (testing).
Tsukamoto Fuzzy Method Analysis in Laptop Damage Diagnosis Yonata Laia; Agusman Halim
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 1 (2022): Article Research Volume 4 Number 1, Januay 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i1.1235

Abstract

As we know now that laptop and PC users are increasing, but the system for detecting damage that is definitely still minimal, this panel will try to solve the problem. Based on the results of the problems that have been described in the background of this research, namely the uncertainty of each technician to determine the damage that occurs on the laptop, this research creates an expert system with the Tsukamoto fuzzy method in diagnosing laptop dredging based on the symptoms experienced by consumers. In accordance with the results of testing the symptom and damage data that has been tested on this system, the data as in the table above in the third sequence is inputting symptoms G030, G037, G034 then the damage will occur with K003. This system also managed to show the results of the research that the level of truth was only at 85%. This system can also be used for anyone who needs it.
Implementation of Data Mining Using the K-Nearest Neighbor Method to Determine the feasibility of a lecturer's functional promotion Andreas Theo Pilus Alista Teles Siahaan; Mardi Turnip
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 1 (2022): Article Research Volume 4 Number 1, Januay 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i1.1242

Abstract

As we know now, every lecturer is obliged to determine the use of the momebase for managing the national lecturer identification number, after getting this, the lecturer concerned can already apply for an academic rank. The data that will be processed in this system is where every lecturer has legal rules to propose academic ranks. The data tested are expert assistant lecturers, lectors (L) lectors are divided into 2 lectors 200 (coordinators/III-C) and 300 lectors (administrators (TKT-1/III-D), head lectors are divided into 3 coaches/(IV-A ) kum 400, supervisor of TKT-1/(IVB) kum 550, main coach of junior/(IV-C) 700, professor of intermediary main coach/(IV-D), KEY Advisor/(IV-E). has shown results by displaying data from lecturers who are eligible to apply for a rank using the K-NN method.

Page 11 of 80 | Total Record : 795

 9   10   11   12   13 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol. 7 No. 2 (2025): Research Article, Volume 7 Issue 2 April, 2025 Vol. 7 No. 2 (2025): Forthcoming: Research Article, Volume 7 Issue 2 April, 2025 Vol. 7 No. 4 (2025): Articles Research October 2025 Vol. 7 No. 3 (2025): Articles Research July 2025 Vol. 7 No. 1 (2025): Article Research January 2025 Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024 Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024 Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024 Vol. 6 No. 4 (2024): Articles Research October 2024 Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023 Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023 Vol. 4 No. 2 (2022): Article Research Volume 4 Number 2, July 2022 Vol. 4 No. 1 (2022): Article Research Volume 4 Number 1, Januay 2022 Vol. 3 No. 1 (2021): Computer Networks, Architecture and High Performance Computing, January 2021 Vol. 3 No. 2 (2021): Journal of Computer Networks, Architecture and High Performance Computing, July Vol. 2 No. 2 (2020): Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): Computer Networks, Architecture and High Performance Computing Vol. 1 No. 2 (2019): Computer Networks, Architecture and High Performance Computing Vol. 1 No. 1 (2019): Computer Networks, Architecture and High Performance Computing More Issue