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All Journal Journal of Computer Science and Technology (JCS-TECH)
Fajar Budi Hartono
Universitas Widya Dharma
Computer Science & IT Control & Systems Engineering

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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
SISTEM INFORMASI PAKAIAN JADI BERBASIS WEB (STUDI KASUS WOOD PECKER STORE) Widia Arfianto; Hendro Joko Prasetyo; Fajar Budi Hartono; Nurhasan Nugroho
Journal of Computer Science and Technology Vol 1 No 1 (2021): November 2021
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.671 KB) | DOI: 10.54840/jcstech.v1i1.8

Abstract

Wood Pocker Store is a distro that still uses word of mouth marketing model. as a consequence, the development of Wood Pecker Store’s marketing has been slow and pre-determined sales targets not yet reached. Website-based apparel information systems are one way of marketing model that is more effective than word of mouth. The website can reach a wider range of customers moreover the system can also serve orders for Wood Pocker Store products. This study aims to build a web-based apparel system. This system is expected to make Wood Pocker Store to expand the marketing reach of their products. In addition, this website is expected to make Wood Pocker Store customers to choose and order Wood Pocker Store products more easier that before and they can do it without come to the store directly. This system also supports the government's program to stay at home due to the Covid pandemic. The stages that will be carried out in this research are data requirenment, design and implementation. Data requirenment was carried out by interview and observation. Context diagrams, DFD, ERD, and interface design are the results of the design stage. At the implementation stage, all of these designs are implemented into a usable system. The result of this research is a system that can be used as a media for promotion or ordering from the Wood Pocker Store.
Co-Authors Depi Trisnawati Hendro Joko Prasetyo Istri Sulistyowati Mariana Windarti Nurhasan Nugroho Widia Arfianto