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Journal : Journal of Computer Networks, Architecture and High Performance Computing

Diagnosing Asthma Expert System with Case Base Reasoning Methods Margaritha M. Kune; Erwin Panggabean
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (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.v2i2.398

Abstract

Asthma is a disease that is Often found in society, especially in the elderly. Asthma is a long-term chronic disease, if left to be fatal and can cause death. Limited access and costs, to patient health information, it is difficult, to know how much influence the disease. So to find out it needs to be built a simple application that can help and Facilitate the community. The purpose of this application is to identify asama disease in older people with 15 symptoms. For the development of expert systems, Several stages are needed items, namely: Analysis and Design of the data collection. This expert system application complies with asthma used by experts and users.
Building Systems Testing Method Using Ishihara Color Blindness Faduhusi Lombu; Erwin Panggabean
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (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.v2i2.403

Abstract

Color blind test system is needed in various needs such as the management of a driver's license, prospective students in Certain institutions, prospective employees or employees in government and private agencies. The development of a computer-based test system color blind color blind tests aims at activities that produce normal eye Conclusions on sealing, partial color blindness and total color blindness. The method used to complete this research is Ishihara, which was discovered by Dr. Shinobu Ishihara. For the construction of the Ishihara color-blind method of testing using the stages of analysis, design and implementation. The developed test system aims to be used as a color blind tests for the health test requirements as a requirement for prospective employees at PT JAVA GLOBAL FUTURES Medan. To build this color blind test system used MS-Visual Studio 2010 and the results were made using Crystal Report 2010. This research has produced a Color Blind Test System with the Ishihara roomates Computer Based Method is used for the color blind tests at PT JAVA GLOBAL FUTURES Medan. With the output in the form of computer screens and paper prints when using a printer connected to a computer in the form of a Health Certificate with test results in the form of a normal eye vision, color blindness partial or total color blindness.
Expert System to Diagnose Problems Acne Whitening Method Using the Base Case Reasioning Sri Ulina Mulyana; Erwin Panggabean
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (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.v2i2.414

Abstract

Lack of knowledge about the problem of acne for the people who do not know how to prevent early steps to prevent acne more inflamed. This system can help doctors to facilitate patient diagnosis and can save the patient's medical records for consideration of the results of diagnoses of new problems that will come. Therefore, this study aims to produce an expert system for diagnosing acne problems on the face using the case base reasoning method. The algorithm used for the CBR method is the Nearest Neighbor Retrieval algorithm for determining the value of disease symptom weighting based on: if the symptoms of the selected disease will be the same value of 1 and if the symptoms chosen are not the same will be value of 0 to the symptoms of old disease cases. In this CBR method the system will determine the solution of the problem with the highest level of similarity value which will be chosen as the solution of the new problem.
Implementation Gifford Method For Digital Image Security Fauduziduhu Laia; Erwin Panggabean
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (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.v2i2.418

Abstract

Rapid development of digital image technology secret causes images require security aspect. Reviews These digital secret image can be encrypted using cryptographic methods. After being encrypted, the image is randomized, so that if it is Obtained by an unauthorized party, the image has no meaning. The cryptographic algorithm used in this study is Gifford method. The Gifford method is a stream cipher, a symmetry encryption algorithm that transforms the data character by character. Gifford has 8 registers filled with key bits. The processes performed by the Gifford method are the Output Function process, the 1-bit Sticky Shift Right process, the 1-bit Left Shift process, the XOR operation and the shift register operation to the right. The decryption process must use the same key as the encryption process in order to Obtain the original image.
Diagnose Disease Expert System Respiratory Tract Infection Method Using Certainty Factor Aritana Lahagu; Erwin Panggabean
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (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.v2i2.430

Abstract

Respiratory tract infections are infectious diseases that interfere with the process of human breathing. When the breathing process takes place, there are often various kinds of diseases, most of which can only be treated by a lung specialist. The arrival of a pulmonary specialist for consultation can take hours and is expensive. Then we need an expert system that can quickly find out the type of disease in human breathing and how to handle it and the solutions that will be provided. Expert system is a system that uses human knowledge to find out the system that is entered into a computer and then is used to solve problems that usually require expertise or human expertise. One application of an expert system to diagnose respiratory tract infections is to use the certainty factor method. The certainty factor method is a method used to solve problems from uncertain answers, and also produce uncertain answers. This uncertainty is influenced by two factors, namely uncertain rules and uncertain user answers. The research aims to build an expert system application for handling respiratory tract infection problems with Visual Studio 2010 as a tool for designing applications and using Microsoft Access 2007 Database as a database. This expert system is able to calculate similarity in weight calculation based on symptoms of respiratory tract infection using certainty factor methods and provide reports using crystal reports
The Comparison of the K Mean Algorithm with the C 45 Algorithm in Dataming Applications: Balancing Precision and Speed in Data Mining Solutions Panggabean, Erwin; Simangunsong, Agustina; Sinaga, Dedi; Sihombing, Agus Putra Emas; Aritonang, Tri Evalina
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.v7i1.5319

Abstract

This research topic discusses the comparison of the K-Means and C4.5 algorithms in the application of data mining to predict aquarium sales in a company. K-Means is a clustering algorithm that functions to group data based on similarity, for example grouping customers based on frequency or type of purchase. This helps companies understand market segments and design marketing strategies accordingly. Meanwhile, C4.5 is a classification algorithm that builds decision trees based on important attributes that influence sales, such as price, season, or promotions. This algorithm is able to predict sales categories, such as increases or decreases, based on historical data. By comparing these two algorithms, the research sought to find out which algorithm is more effective in helping companies predict sales and make strategic decisions. A combination of the two can also be used, with K-Means grouping the data first, then C4.5 classifying each segment formed. These results can provide more accurate sales predictions and more effective marketing strategies. This research is important to understand the effectiveness of algorithms in data mining to improve business decision making.
Diagnosing Asthma Expert System with Case Base Reasoning Methods Kune, Margaritha M.; Panggabean, Erwin
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (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.v2i2.398

Abstract

Asthma is a disease that is Often found in society, especially in the elderly. Asthma is a long-term chronic disease, if left to be fatal and can cause death. Limited access and costs, to patient health information, it is difficult, to know how much influence the disease. So to find out it needs to be built a simple application that can help and Facilitate the community. The purpose of this application is to identify asama disease in older people with 15 symptoms. For the development of expert systems, Several stages are needed items, namely: Analysis and Design of the data collection. This expert system application complies with asthma used by experts and users.
Building Systems Testing Method Using Ishihara Color Blindness Lombu, Faduhusi; Panggabean, Erwin
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (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.v2i2.403

Abstract

Color blind test system is needed in various needs such as the management of a driver's license, prospective students in Certain institutions, prospective employees or employees in government and private agencies. The development of a computer-based test system color blind color blind tests aims at activities that produce normal eye Conclusions on sealing, partial color blindness and total color blindness. The method used to complete this research is Ishihara, which was discovered by Dr. Shinobu Ishihara. For the construction of the Ishihara color-blind method of testing using the stages of analysis, design and implementation. The developed test system aims to be used as a color blind tests for the health test requirements as a requirement for prospective employees at PT JAVA GLOBAL FUTURES Medan. To build this color blind test system used MS-Visual Studio 2010 and the results were made using Crystal Report 2010. This research has produced a Color Blind Test System with the Ishihara roomates Computer Based Method is used for the color blind tests at PT JAVA GLOBAL FUTURES Medan. With the output in the form of computer screens and paper prints when using a printer connected to a computer in the form of a Health Certificate with test results in the form of a normal eye vision, color blindness partial or total color blindness.
Expert System to Diagnose Problems Acne Whitening Method Using the Base Case Reasioning Mulyana, Sri Ulina; Panggabean, Erwin
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (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.v2i2.414

Abstract

Lack of knowledge about the problem of acne for the people who do not know how to prevent early steps to prevent acne more inflamed. This system can help doctors to facilitate patient diagnosis and can save the patient's medical records for consideration of the results of diagnoses of new problems that will come. Therefore, this study aims to produce an expert system for diagnosing acne problems on the face using the case base reasoning method. The algorithm used for the CBR method is the Nearest Neighbor Retrieval algorithm for determining the value of disease symptom weighting based on: if the symptoms of the selected disease will be the same value of 1 and if the symptoms chosen are not the same will be value of 0 to the symptoms of old disease cases. In this CBR method the system will determine the solution of the problem with the highest level of similarity value which will be chosen as the solution of the new problem.
Implementation Gifford Method For Digital Image Security Laia, Fauduziduhu; Panggabean, Erwin
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (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.v2i2.418

Abstract

Rapid development of digital image technology secret causes images require security aspect. Reviews These digital secret image can be encrypted using cryptographic methods. After being encrypted, the image is randomized, so that if it is Obtained by an unauthorized party, the image has no meaning. The cryptographic algorithm used in this study is Gifford method. The Gifford method is a stream cipher, a symmetry encryption algorithm that transforms the data character by character. Gifford has 8 registers filled with key bits. The processes performed by the Gifford method are the Output Function process, the 1-bit Sticky Shift Right process, the 1-bit Left Shift process, the XOR operation and the shift register operation to the right. The decryption process must use the same key as the encryption process in order to Obtain the original image.
Co-Authors Abdul Jabbar Lubis Ade Putri Humaira Amala, Dwi Novia Apriani , Wira Arikhifo, Arikhifo Aritana Lahagu Aritonang, Tri Evalina Bella Saputri Damayanti, Alfina Dedi Sinaga, Dedi Dewi, Sumitra Faduhusi Lombu Fauduziduhu Laia Fitra, Awaludin Fransisco alexander Simbolon Gea, Asaziduhu Ginting, Ricky Martin Guntur Syahputra Guntur Syahputra Haida Dafitri Harefa, Jikarni Hasugian, Penda Sudarto Hengki Tamando Sihotang Herlina Zebua Ira Lina Kendayto Panjaitan Jijon R. Sagala Jijon R. Sagala Jijon Raphita Sagala, Jijon Raphita Josua, Alpon Juandi Syahfutra Simatupang Junita , Diana Justrina Br. Surbakti Justrina Br.Surbakto Kune, Margaritha M. Lahagu, Aritana Laia, Fauduziduhu Lase , Yulianto Logaraj Logaraj Lombu, Faduhusi Lubis, Risa Kartika Margaritha M. Kune Mulyana, Sri Ulina Nadia Aulia Nora Anisa Br. Sinulingga Nur Wulan Nuraisana Nuraisana , Nuraisana Nuraisana, Nuraisana Olven Manahan Pakpahan, Robertus Rinaldi Penda Sudarto Hasugian Ramadhan, Alya Sophia Selvia, Sindu Siagian, Tesalonika Pesta Sianturi, Ariani Natalia Sihombing, Agus Putra Emas Simangunsong, Agustina Simanjorang, R. Mahdalena Simanjorang, R. Mahdelena Sinaga, Anita Sindar Sinaga, Anita Sindar RM Sinaga, Anita Sindar Ros Maryana Sindar Sinaga, Anita Sipahutar, Hartati Palentina Sitio, Arjon Samuel Sitohang, Amran Sitorus, Martua Sri Mulyani Sri Ulina Mulyana Sulindawaty, Sulindawaty Sumi Khairani Telaumbanua, Imelda Tiara W Pratiwi Utami, Yulia Vinsensia, Desi Wanra Tarigan Wira Apriani Yerianus Lase