Istri Sulistyowati
Universitas Widya Dharma

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Computer Science and Technology (JCS-TECH)

SISTEM PAKAR PENDIAGNOSA PENYAKIT DIABETES MELITUS MENGGUNAKAN FORWARD CHAINING Depi Trisnawati; Mariana Windarti; Istri Sulistyowati; Fajar Budi Hartono
Journal of Computer Science and Technology Vol 2 No 1 (2022): Mei 2022
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (699.189 KB) | DOI: 10.54840/jcstech.v2i1.32

Abstract

Diabetes is a disease that causes death which is quite high in the world, even in Indonesia, this is indicated by the position of Indonesia with the highest number of diabetic patients, which is 7th out of 10 countries. Diabetes Mellitus is also a chronic disease that is a public health problem in Indonesia. By 2020, the number of diabetes attacks will reach 18 million. The increasing use of computer technology causes the rapid flow of information and communication from one place to another. One application of technology is an expert system. This expert system is used for early detection of the type of disease suffered by the patient based on the symptoms caused without having to go to the doctor. In this study, an expert system for diagnosing diabetes mellitus will be designed. The method used is the forward chaining inference method and Microsoft Visual FoxPro 9.0 software. The forward chaining method works by analyzing the facts obtained from the input based on the rules stored in the database to get a conclusion. This expert system for diagnosing diabetes mellitus is used by the community as a tool for early detection without having to consult directly with a doctor. The conclusion or solution obtained from this expert system is that the user is predicted to have diabetes or does not have mild or secondary diabetes along with the results of the diagnosis according to the solution provided by the system
A APLIKASI SISTEM PARKIR UNIVERSITAS WIDYA DHARMA KLATEN Hendro Joko Prasetyo; Mariana Windarti; Agustinus Suradi; Istri Sulistyowati
Journal of Computer Science and Technology Vol 2 No 2 (2022): November 2022
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54840/jcstech.v2i2.4

Abstract

The parking management information system at Widya Dharma University Klaten is a form of parking information system to collect data and parking arrangements whose application plans will be used at Widya Dharma University Klaten. The purpose of this study is to create a parking system application that can later be used as a parking system aid which is computerized so that it is expected to be more efficient and have efficiency values ‚Äč‚Äčthat can improve service quality and increase income. The research method uses direct observation, while also reading the literature or literature. In this study, namely the implementation of parking management with computerized data collection of vehicle numbers. Research materials and materials include data on parking locations, population of parking vehicles which include cars or motorbikes in the Widya Dharma University area. This design software uses Microsoft Visual Foxpro 9.0 application software, for database design using SQL Server 2000, Microsoft Office 2007 (Word, Excel, Powerpoint, Visio). The results of this study are a computerized Parking System Application which can later be used by Widya University Dharma Klaten so that it is expected to be able to produce information quickly, save time and also for prevention efforts against vehicle theft in the Widya Dharma Klaten University campus. In addition, it can be used to calculate how much rupiah is generated, if there is an activity such as a graduation ceremony, so that the distribution of results can be evenly distributed and there is no mutual suspicion between parking officers (security guards). Keywords: Parking Information System, Microsoft Visual Foxpro 9.0, SQL Server 2000