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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Teknik Informatika UNIKA Santo Thomas JIPN (Journal of Informatics Pelita Nusantara) Jurnal Mantik KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) Jurnal Info Sains : Informatika dan Sains Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat As-salam Ulead : Jurnal E-pengabdian
Alex Rikki
Fakultas Lmu Komputer , Universitas Katolik Santo Thomas
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : INFOKUM

 1 
IMPLEMENTATION OF FORWARD INFERENCE REASONING IMPLEMENTING THE DEMPSTER-SHAFER METHOD FOR DIAGNOSIS OF LUNG DISEASE SYMPTOMS Tonni Limbong; Alex Rikki
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (394.391 KB)

Abstract

Artificial intelligence is an effort to transfer intelligence that is added to a system that can be regulated in a scientific context or can be called artificial intelligence so that machines (computers) can do work as humans can do. Lung disease is a condition in which the lungs cannot function normally. Some of the most common include asthma, chronic obstructive pulmonary disease (COPD), pneumonia, tuberculosis, and lung cancer. The Dempster-Shafer method was first introduced by Dempster, who experimented with uncertainty models with a range of probabilities rather than a single probability. Application of the Dempster-Shafer method to diagnose lung disease, it can be concluded that inference techniques are easy to use in designing expert systems to get a conclusion but, it has weaknesses in finding these conclusions if the system has a large enough knowledge base and this will be very much use time and hinder the consultation process.
APPLICATION DESIGN FOR EVALUATION OF THE EFFECT OF RESEARCH VARIABLES AND THEIR IMPACT USING PEARSON PRODUCT MOMENT AND SIMPLE LINEAR REGRESSION Romanus Damanik; Alex Rikki; Parasian D.P Silitonga
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (312.962 KB)

Abstract

Research is a process to solve problems. To solve existing problems, researchers must process data related to the problem to be solved. Data processing can be done using the SPSS application program, but the results obtained are still in the form of numerical values ​​that must be concluded with sentences. To speed up data processing and determine conclusions, it is necessary to build an application for evaluating the influence of research variables and their impacts to help researchers, especially in the social field, to speed up in determining conclusions on evaluating the influence of research variables and their effects using the Pearson product moment method and simple linear regression. With the application that was built, the correlation coefficient of monthly money on student GPA is 0.0603 and the regression equation Y= 3.1319 + 0.0084 X , where there is an effect of student monthly money on student GPA of one hundred thousand rupiah, then the student's IP will increase by 0.0084
Co-Authors Baehaqi Batubara, Muhammad Iqbal Br Ginting, Anirma Kandida Doni El Rezen Purba Ginting, Sakaria Efrata Ginting, Wasit Gultom, Juan Prima Harianja, Andy Paul Hasugian , Paska Marto Irene Sri Morina Joko Syahputra Jonson S. Siregar Lestari , Febrika Dwi Limrot Imran Purba Marulak Lasron Siahaan Matondang, Zekson Arizona Mhd. Shafwan Koto, Mhd. Shafwan Nasib Marbun Parasian D.P Silitonga Parasian D.P Silitonga Parasian D.P. Silitonga Petrus Leonardi Marpaung Purba, Doni El Rezen Reni Maria Manalu Romanus Damanik Sagala, Masdiana Sarma Panggabean Sembiring, Hermansyah Siagian, Novriadi Antonius Siagian, Parulian Siahaan, Azarya N J Silitonga, Parasian D.P Simangunsong, Pandi Barita Nauli sinaga, lotar mateus Sinaga, Nicholas Sinaga, Sylvia Bernadette Sipayung, Sardo P Sipayung, Sardo Pardingotan Sitanggang, Hilsa Kristian Sitohang, Dody W Sitorus, Lamhot Sorang Pakpahan Tanjung, Mansur Tarigan, Randy Amos TONNI LIMBONG