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All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Perencanaan, Sains dan Teknologi (Jupersatek) Prosiding Seminar Nasional Hasil Penelitian dan Pengabdian Kepada Masyarakat
Jasri Jasri
Universitas Islam Kuantan Singingi
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Transportation Other

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Journal : JURNAL TEKNOLOGI DAN OPEN SOURCE

 1 
MENENTUKAN JENIS PENYAKIT MENGGUNAKAN METODE MAMDANI DENGAN GOLONGAN OBAT YANG SESUAI Jasri Jasri
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 1 No 1 (2018): Jurnal Teknologi dan Open Source, June 2018
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.945 KB) | DOI: 10.36378/jtos.v1i1.10

Abstract

Hypertension is another name for high blood pressure and hypertension can be defined as conditions in which blood pressure is higher than 140/90 millimeters of mercury (mmHG). The figure of 140 mmHG refers to systolic reading, when the heart pumps blood throughout the body. Meanwhile, the figure of 90 mmHG refers to diastolic reading, when the heart is relaxed while refilling its chambers with blood. Fyzzy logic with mamdani method is a method for determining obt that is suitable for the type of hypertension so that hypertension keeps running normally.
PENERAPAN METODE MAMDANI UNTUK SISTEM PENDUKUNG KEPUTUSAN PENENTUAN GOLONGAN OBAT SESUAI DENGAN PENYAKIT DIABETES Jasri Jasri; Rabby Nazli
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 1 No 2 (2018): Jurnal Teknologi dan Open Source, December 2018
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.456 KB) | DOI: 10.36378/jtos.v1i2.27

Abstract

Erupted diabetes is one of the diseases that cause many deaths. Drug Information Services (PIO) that develop in the modern world. So the IT department can help pharmacists for the health department. Pressure blood glucose levels 70 to 300 millimeters (mmHG). Fuzzy Inference System with mamdani method to determine the appropriate class of drugs by applying fuzzy variables to the occurrence of blood glucose pressure remains normal.
Data Analysis of Informatics Engineering Students of Islamic University of Kuantan Singingi Harianja Harianja; Nofri Wandi Al-Hafiz; Jasri Jasri
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 6 No 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.2691

Abstract

Increasing student enrolment is the hope of any study program, including the study program at the Islamic University of Kuantan Singingi, especially the Informatics Engineering study program. During its existence, the Informatics Engineering program has experienced ups and downs in the number of students. This circumstance naturally affects the workload of the Informatics Engineering lecturers and the burden on the university's operating costs. So far, efforts have been made to increase the number of students, but this has not been done by analyzing existing student data. This study aims to analyze the existing student data in the hope that the results of this analysis can be useful for the Informatics Engineering study program at the Kuantan Singingi Islamic University of Kuantan Singingi to make decisions to increase the number of students in the future. Students in the Informatics Engineering study program come from different regions in Kuantan Singingi Regency and the surrounding districts. This is an opportunity for the university to analyze and visualize areas with a large number of enrollees. Using R programming, this student data can be easily visualized and presented.
Co-Authors Aprizal Aprizal Elgamar Elgamar Elgamar Syam Erlinda Erlinda Eval Agustin Martin FEBRI HASWAN Harianja Harianja Helpi Nopriandi Ira Yunita Junia Karmila Sari M Hasyim Siregar M Yusfahmi M. Hasim Siregar Nofri Wandi Al Hafiz Rabby Nazli Sri Chairani Uttira Suhari