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Journal : PERFECT: Journal of Smart Algorithms

Expert System for Diagnosing Dental and Oral Diseases Using the Forward Chaining Method Alvira, Mise; Yunan, Amsar; Khairuman, Khairuman; Anugreni, Fera; Ilham, Dirja Nur; Bean, Hasbaini; Saputra, Devi Satria
PERFECT: Journal of Smart Algorithms Vol. 1 No. 1 (2024): PERFECT: Journal of Smart Algorithms, Article Research January 2024
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v1i1.1

Abstract

Dental and oral health is important to pay attention to and is an integral part of overall health that requires immediate treatment before it is too late and can affect a person's health condition. One of the obstacles experienced is the difficulty of diagnosing dental disease in remote areas due to the uneven distribution of experts or dentists. Therefore, in this research, an expert system was built that can diagnose dental disease and tooth-supporting tissue based on knowledge obtained from direct experts. An expert system built on a web basis using the PHP programming language and MySQL database. The problem-solving engine used is the Forward Chaining method. This method can diagnose disease by adjusting the facts experienced with the rules that have been created which are entered into the system.
Real-Time Classification of Local Orange Fruit Quality Using YOLO (You Only Look Once) and SVM (Support Vector Machine) Methods Harahap, Muhammad Khoiruddin; Candra, Rudi Arif; Budiansyah, Arie; Aritonang, Romulo P.; Zulfan, Zulfan; Saputra, Devi Satria
PERFECT: Journal of Smart Algorithms Vol. 2 No. 2 (2025): PERFECT: Journal of Smart Algorithms, Article Research July 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v2i2.55

Abstract

Oranges are a fruit that we often encounter and are even consumed by people because of their various benefits. Oranges have commercial value in Indonesia and have a fairly wide reach. In order to increase competitiveness, oranges must also meet market standards, both domestic and foreign, so that they can be accepted by consumers. Of course, in this case, orange selection is very important. increasing sales and market competition by sellers, important indicators in selecting citrus fruit are in terms of size and color. In general, the selection of citrus fruit is done manually and based on human thinking, which causes several weaknesses that must be corrected, including requiring a long time, human visual limitations, and being influenced by human psychology itself. This is what causes inconsistencies in selection. oranges and does not comply with existing market requirements. So a research was carried out regarding the quality classification of local citrus fruit using the YOLO (You Only Look Once) and SVM (Support Vector Machine) methods in real time. In the comparison made between the two methods used, Yolo was found to be the best method for classifying citrus fruit.