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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 574 Documents
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Implementation Of Data Mining On Suzuki Motorcycle Sales In Gemilang Motor Prosperous With Apriori Algorithm Method: Implementation Of Data Mining On Suzuki Motorcycle Sales In Gemilang Motor Prosperous With Apriori Algorithm Method Anju Eliarsyam Lubis; Paska Marto Hasugian
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): 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.v2i1.353

Abstract

The sale is part of the marketing that determine the survival of the company. With the sale, the company can achieve the goals or targets. To be a company that continues to grow in motorcycle sales, the company should be able to compete in increasing sales volume. Starting from the launch prodak the best in sophistication motorcycles, up to a very attractive price cuts the attention of consumers. Things like that already sanggat often do, so the company can still compete, Motorcycles is a two-wheeled transfortasi tool used more and more common people. From teenagers to old orag, not infrequently motorcycle including important sanggat needs. If we do not have it feels very hard in activity quickly. Make sales without any restriction of sales data accumulate, until finally overwhelmed the company in terms of taking care of customer files. To find the most sales required Apriori Algorithm. Apriori algorithm, including the type of association rules on Data Mining. One stage of association that can produce an efficient algorithm is with high frequency pattern analysis. In an association can be determined by two benchmarks, namely: Support and Confidence. Support "penunang value" is the percentage of combinations of items in a database, and Confidence "value certainty" is strong correlation between the items in an association's rules. Apriori algorithm, including the type of association rules on Data Mining. One stage of association that can produce an efficient algorithm is with high frequency pattern analysis. In an association can be determined by two benchmarks, namely: Support and Confidence. Support "penunang value" is the percentage of combinations of items in a database, and Confidence "value certainty" is strong correlation between the items in an association's rules. Apriori algorithm, including the type of association rules on Data Mining. One stage of association that can produce an efficient algorithm is with high frequency pattern analysis. In an association can be determined by two benchmarks, namely: Support and Confidence. Support "penunang value" is the percentage of combinations of items in a database, and Confidence "value certainty" is strong correlation between the items in an association's rules.
The Implementation of the RC4 algorithm For Sale and Purchase Agreements Data Security On Notary Office Trisna Setiawaty; Olven Manahan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): 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.v2i1.354

Abstract

Ksecurity wheel is one of the essential needs of the data, or information. With this regard the importance of the information or data by the party or person of interest. This research aims to design and build a system for data security deed of sale that can help the Notary / PPAT. The system was built using the RC4 (Rivest Code 4) which is a symmetric key cryptographic algorithms and is stream cipher, there is a process of encryption and decryption. The encryption is the process of encoding the original message or plaintext into ciphertext encrypted text. While decryption is the process of encoding back to cipherteksmenjadiplainteks (original data). This research resulted in a system that is able to change the data that can be read into the data that is not easily understood.
Decision Support System Budget Allocation Fund Village With AHP method (Analytic Hierarchy Process) In the village of beehive Ilham Pramuja Nasution; Arjon Samuel Sitio
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): 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.v2i1.355

Abstract

The budget allocation of a village fund is very important and take big effect to village progress Because the office to distribute the tax result for village development. But, that allocation is not accurately. Therefore there was design a system to support a decision a budget allocation of village funds by using an Analytical Hierarchy Process (AHP) method. This research done to the make-easy an office village in budgeting is the allocation of village funds. An method of Analytical Hierarchy Process (AHP) is one of a method known as important as the highest level. An AHP method is look for the best alternative
Decision Support System Nutritional Supplement Receipt Determination Method Using Simple Additive Weighting (SAW) Muhammad Irfan Sipayung; Arjon Samuel Sitio
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): 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.v2i1.356

Abstract

Nutrition is a component of body builders in order to maintain and repair the tissues so that the function of the body can function properly. Currently in the village broke promontory has run a program providing nutrition food additive in which the program is based as a growth pattern in the village communities are uneven due to the lack of ancestry in consuming foods that are healthy and nutritious. Until now there has been the way of effective work to determine the acceptance of additional nutrients in the village broke headland. This study aims to assist the village in determiningNutritional Supplement acceptance in the village of Tanjung Disconnect. This system is built using a simple method that perogram Additvive weighting that can be done more effectively. Additvive simple weighting method is one method used in decision support seistem prosesperhitungnya by finding the weight values ??for each attribute.
Decision Support System for Determining the Best Hospital Nurses Grandmed Method Using Simple Additive Weighting (SAW) Ester Simanjuntak; bosker Sinaga
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): 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.v2i1.357

Abstract

Decision support system is a combination of sources of individual intelligence with the ability of components to improve the quality of decisions. Also decision support systems are computer-based information systems for management decision-making that deal with semi-structural problems. The purpose of this study is to the make the application of nurse employees in Grandmed Hospital Based on the results of research that has been Discussed items, namely the Decision Support System for Determining the Best Nurses in Grandmed Hospital by Using the Simple Additive Wieghting (SAW) Method with the benefit of being Able to Facilitate the processing of the data and Facilitate nurse in Determination of the best nurse for a promotion to a nurse at Grandmed Hospital
Diagnose Expert System Computer Malfunction Certainty Factor Method Djouking Kiray; Fricles Ariwisanto Sianturi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): 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.v2i1.358

Abstract

An expert system is a knowledge base system that solves problems using an expert's knowledge that is entered into a computer, thereby increasing productivity, Because an expert can work faster than a human lay works like an expert. Expert systems Also solve problems by imitating the ways in the which an expert expert offer section with problems in his field, one of the which is in the field of computer repair, the problem of computer damage Becomes a fairly complicated problem, this problem is Generally experienced by individuals and institutions. One of them is in school institutions that have computer laboratories. to diagnose computer use can damage the certainty factor method that helps identify damage to the computer and find the cause of damage to the computer based on the symptoms that occur and the solution to repair it. Certainty Factor is one of the techniques used to deal with uncertainty in decision making. In dealing with a problem, answers are Often found that do not have full certainty. This uncertainty is influenced by two factors items, namely the uncertain rules and user uncertain answers. Uncertain rules are rules of symptoms that are determined for a damage.
Data Security System login With MD5 Algorithms in Applications deskresy.com Rahmat Ferdiansyah; Paska Marto Hasugian
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): 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.v2i1.359

Abstract

Cryptography is a technique of data security by processing the data (plaintext) using an encryption method so that the the data can not be read directly, especially by unauthorized parties. Confidential Data and information need to get serious attention considering the value of information contained in it so that procedures are needed to hide the messages stored Therein. Data security Becomes very important at this time, Because for every decision or policy making must be based on the data. Md5 is a substitute for MD4, MD5 is one of the most Widely used one-way hash functions, MD5 processes the input into blocks of 512 bits, the output of md5 is 128 bits and has a fixed length. MD5 algorithm is Widely used for various purposes in making security in applications, it is Often used to help login validation on the use of passwords stored in the database system
Data Mining Power Determination Nurses Sultan Sulaiman Hospital With C4.5 Algorithm Wenika Hidayati; Paska Marto Hasugian
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): 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.v2i1.360

Abstract

The hospital is an agency engaged in health services in the which there are a number of special professions that can provide health services to the community items, namely doctors, Midwives and nurses and other professes. In this discussion, Arise and problems that can be raised into case studies to find out the results and information of each process in data mining Carried out with the C4.5 algorithm items, namely nurses. However, there are Several obstacles to Determine the nurses who will be declared passed or failed and accepted to work and can provide health services to the community, especially Patients who come for treatment. Therefore we need a method to identify nurses in a hospital. Data Mining with c4. 5 Algorithm can be used to the make predictions or classifications of nurses who are eligible to perform health services in hospitals by making decision trees based on existing data. This study aims to apply the data mining algorithm C4.5 in Determining nurses based on four attributes of used items, namely Accreditation, GPA, Age, and the value of each criterion has been determined in advance. The results of the study in the form of a decision tree Obtained from the data mining process with the C4.5 algorithm will provide information on the determination of nurses in the Sultan Sulaiman Regional Hospital.
Application Employee Shift Scheduling Algorithm Recursive Largest First (RLF) at PT. Invilon Sagita Medan Finus Buulolo; R Mahdalena Simanjorang
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): 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.v2i1.362

Abstract

Scheduling is one of the important things in any company such as PT. Invilon sagita currently have employees reaches hundreds of people so that employees who handle scheduling of employees experience difficulty in because of the number of employees is too much. Constraints in the natural is a very long time so it is necessary a method in solving the problem. In this study using Lagert Recusiv First (RLF) in the preparation of Karawan scheduling with visual studio 2010. program based on those already in the test results with the number of employees by 5 people RLF method can resolve employee scheduler quickly.
Expert System to Diagnose Malaria With Bayes Method Mei Melan Rut Sartika Hutapea; R. Mahdalena Simanjorang
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): 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.v2i1.363

Abstract

Malaria is a deadly disease. The disease is caused by a virus that is transmitted through the bite plasmadium Anopheles mosquito tropics. , Indonesia is an area that has a tropical climate so that malaria prevalent in Indonesia. Many public cloud lack of knowledge about the symptoms of malaria because malaria disease symptoms similar to the usual feverish illness. If the disease is not handled seriously can lead to death. From the above explanation makes the excuse needed one expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. In the expert system there are several methods used to menagani a problem. With the solution given institute Bayes Method in helping to diagnose diseases, the expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation.

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