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All Journal Educitizen ProNers Jurnal Sains dan Teknologi Jurnal Pemberdayaan: Publikasi Hasil Pengabdian kepada Masyarakat (JPM ITTC )
Winarti ., Winarti
Program Studi Pendidikan Fisika, Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Social Sciences

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Journal : Jurnal Sains dan Teknologi

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Aplikasi Web Diagnosis Kesehatan Gigi dan Mulut Berbasis Aturan dengan Forward Chaining dan Certainty Factor ., Winarti; Lisdiyanto, Angga; Wibowo, Agus; Mufliq, Achmad; Nugroho, Rizky Aditya; Abdillah, Ikhwan; Eskaluspita, Pratama; Fitrani, Laqma Dica; Septianto, Tri
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 2 (2025): Mei - Agustus
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i2.2908

Abstract

Oral and dental health is an integral part of general health, yet high treatment costs and limited availability of dentists, especially in non-urban areas, often lead the public to delay examinations until complaints worsen. This research aims to develop a web-based expert system capable of providing early indications of oral and dental diseases quickly, accurately, and accessibly through a self-screening mechanism. This web application provides an expert system developed using Python (Flask) and designed with login/logout features for data security, as well as storing user information and diagnosis results in a database. The system utilizes the Forward Chaining method as the primary inference engine to process user-inputted symptoms, and integrates Certainty Factor to calculate and determine the confidence level of the diagnosis results. Testing has demonstrated ease of use, where users only need to answer symptom questions with "yes" or "no" to obtain a disease diagnosis and relevant treatment suggestions. Performance analysis based on trials with 40 simulated data shows the system achieved an accuracy rate of 85%, making it a reliable tool for initial screening.
Sistem Pakar Berbasis Website Untuk Diagnosis Stunting Balita Dengan metode Forward Chaining ., Winarti; Putra, Wahyu Fikri Zeni; Maghfirohc, Nurus Danti; Nadila, Andin Rachma; ., Juliah; Fizaruddin, Mukhammad Amar; Sanjaya, Bagus Hadi
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.2971

Abstract

Artificial intelligence is the computer science sector which facilitates computers in performing tasks traditionally performed by humans. One of the interesting applications of ai is a system of experts, designed to mimic an expert's thinking and knowledge. In this study, a web-based expert system was developed to diagnose stunted potential in children of an early age by employing advanced methodologies of chaining. The purpose of this system is to increase public awareness and help parents recognize early stunting signs, thus enabling timely intervention. The system is developed with a cascading approach to ensure that each stage of development is implemented by a planned approach. Test results show that the system has a high diagnostic accuracy level, so it can be relied upon as an aid in a stunted risk assessment.
Co-Authors ., Juliah A.A. Ketut Agung Cahyawan W Abdillah, Ikhwan Achmad Mufliq Agus Wibowo Awang Andhyka Djanah, Miftahul Eskaluspita, Pratama Fitrani, Laqma Dica Fizaruddin, Mukhammad Amar Lisdiyanto, Angga Lutfiyah, Nanik Maghfirohc, Nurus Danti Mu'min, Syahri Nadila, Andin Rachma Putra, Wahyu Fikri Zeni Rizky Aditya Nugroho Sanjaya, Bagus Hadi Saputro, Arief Siswanto, Markhaban Tri Septianto Winarno .