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All Journal Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Aisyah Journal Of Informatics and Electrical Engineering Jurnal Teknik Informatika (JUTIF) Jurnal IPTEK Bagi Masyarakat Indonesian Journal of Computer Science Journal Of Indonesian Social Society
Nasution, Akmal
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
THE USE OF THE WMA METHOD PREDICTS THE INVENTORY OF TOFU RAW MATERIALS CASE STUDY INDUSTRY TAHU IYUS Desy Julika Sari; Herman Saputra; Akmal Nasution
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.224

Abstract

Industry Tahu Iyus is a business engaged in the industrial sector, this business makes white tofu and fried tofu. The problem that occurs in the Industry Tahu Iyus is that it is still difficult to determine the amount of tofu raw material inventory for the next month and experiencing an excess of tofu raw materials if this continues, the Industry Tahu Iyus will experience losses, one of the raw materials will be damaged and will experience a bad smell to the raw materials. The purpose of this research is to be able to build a forecasting system for the inventory of tofu raw materials in the Industry Tahu Iyus using previous data. The method that can be used in this study to predict the inventory of tofu raw materials is the Weighted Moving Average method, because this method is able to provide predictions by utilizing previous data and each data is given a different weight. This study applies the Weighted Moving Average method to obtain accurate forecasting results so as to minimize errors between forecasting and inventory reality, and is applied to a forecasting system for tofu raw material inventory per month with forecasting results for the following month, namely 4.150 Kg with a MAPE value of 6.54%.
EXPERT SYSTEM DIAGNOSING STROKE TRANSIENT ISCHEMIC ATTACK (TIA) USING THE WEB-BASED DEMPSTER SHAFER METHOD Aminun Aminun; Akmal Nasution; Bachtiar Efendi
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 4 (2022): JUTIF Volume 3, Number 4, August 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.4.228

Abstract

The neurologist at RSUD Dr. Tengku Mansyur Tanjungbalai City has changed working hours during the Covid 19 pandemic, making people who want to seek treatment and consult to overcome complaints of Stroke Transient Ischemic Attack (TIA) into confusion and RSUD Dr. Tengku Mansyur Tanjungbalai City limits the number of patients in consulting for Stroke Transient Ischemic Attack (TIA) to avoid crowds. To overcome these problems, an expert system was created using the Dempster Shafer method. The purpose of this study is to create an expert system that makes it easier to diagnose Stroke Transient Ischemic Attack (TIA) disease. The research method used in this study is quantitative, namely research that uses data in the form of numbers that are processed using a formula so as to obtain results based on calculations with that formula. The purpose of this research method is to describe the object under study, namely data on Stroke Transient Ischemic Attack (TIA), based on the results of the calculation of the Dempster Shafer method. An expert system that can be accessed online by patients with Stroke Transient Ischemic Attack (TIA) because it is designed using the PHP programming language and MySQL database. As a result an expert system using the Dempster Shafer method which provides a consultation feature for patients with Stroke Transient Ischemic Attack (TIA) making it easier for patients to find solutions to the symptoms they are experiencing.. The more often patients do consultations, which will increase public awareness about the disease.
Co-Authors Adela Fitri Adi Prijuna Lubis Agus Suryadi Aminun Aminun Bachtiar Efendi Dahriansah - Desy Julika Sari Dwi Kurniawati Fajar Munawar Febrianti, Eka Lia Havid Syafwan Herman Saputra Iqbal Kamil Siregar Mardalius Mardalius Mohd Siddik Nuriadi Manurung Ragil Andika Putra Riki Handoko Rizaldi, Rizaldi Rolly Yesputra Santoso Santoso