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All Journal ORBITA: Jurnal Pendidikan dan Ilmu Fisika STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Technologia: Jurnal Ilmiah Jurnal Rekayasa Komputasi Terapan
Irawan Setiadi
Universitas Indraprasta PGRI
Computer Science & IT Education Mathematics Physics

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Journal : STRING (Satuan Tulisan Riset dan Inovasi Teknologi)

 1 
Sistem Pendukung Keputusan Pemilihan Mobil Bekas dengan Metode AHP dan SAW pada Nava Sukses Motor Irawan Setiadi
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 3, No 3 (2019)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1192.845 KB) | DOI: 10.30998/string.v3i3.3582

Abstract

Someone buying a used vehicle in determining his choice, of course, is based on several criteria that are used as a benchmark in choosing used car vehicles, including engines, body, interior, frame number & engine, letters & taxes, and prices. These criteria are a consideration for buying a used car, various considerations are made by a buyer to get a good and good used car. Difficulties in choosing a used car, a reference is needed as a rationale for choosing a used car. Decision support systems offer a solution for referrals in choosing a used car. Decision support systems offered using Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) in solving problems. Problems can be solved using a ranking system based on global weighting. Buyers of used car vehicles can choose used cars based on references or recommendations from expert decision support systems. Based on the results of the calculation of the assessment criteria proposed to the system, the determination of used cars is obtained through calculating the priority weight values for the selection of used cars to be purchased. With the Decision Support System to choose used cars using the Analytical Hierarchy Process (AHP) method and Simple Additive Weighting (SAW) in determining used cars the accuracy rate is 73% compared to using the Simple Additive Weighting (SAW) method which has a level of accuracy only 60%.
Sistem Pakar untuk Mendiagnosa Gangguan pada Sistem Endokrin Berbasis Android Mobile Irawan Setiadi; Imam Himawan; Kevin Septianzah
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 8, No 1 (2023)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v8i1.16491

Abstract

This research discusses how to design an expert system that can be used to diagnose disorders of the endocrine system based on the symptoms suffered by the patient, so that there are advice on the problems encountered by the user. The objective is to assist prospective doctors, general practitioners and specialists in diagnosing disorders of the endocrine system like an expert, to provide information quickly, and to create an interactive application that can be easily understood by the users. The expert system is created using the Best-First Search method and using the Forward Chaining technique. The system contains the knowledge of an expert obtained during research at Permata Ibu Hospital and a knowledge base designed to be able to store new diseases. The expert system is developed based on smartphone technology or more specifically Android on the client side, PHP (Hypertext Preprocessor) and MySQL base on the server side. The system contains 6 disease data and 10 disease symptom data. It also has been tested and validated by experts and several users. The result reaching a percentage of 83.3% shows that the expert system application is quite efficient and effective.
Co-Authors Alqomari Cahyo Budiarso, Iwan Diknawaty Diknawaty Ega Shela Marsiani Imam Himawan Irnin Agustina Dwi Astuti Rachma Azkia Zahra Ria Asep Sumarni Septianzah, Kevin