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All Journal JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development PERFECT: Journal of Smart Algorithms DCS: Jurnal Pengabdian Masyarakat
Bean, Hasbaini
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Public Health

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Journal : PERFECT: Journal of Smart Algorithms

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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.
Arduino Based Automatic Banana Chip Slicer Yunan, Amsar; Yanti, Yulisda; Khairuman, Khairuman; Anugreni, Fera; Bean, Hasbaini
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.v1i1.2

Abstract

Banana is a herbaceous fruit plant, in Latin banana Musa spp which belongs to the Musaceae family from Southeast Asia. What is meant by superior varieties is that banana plants are strong enough to withstand pests and diseases so they are capable of high production. Nowadays, many people who slice bananas still use simple or manual tools to slice raw bananas. An efficient machine mechanism must be needed in the manufacturing process to get these thin banana slices. This tool aims to avoid hand injuries and banana sap getting on your hands if you use a manual banana slicer. The working method of this tool is controlled by Arduino Uno R3 using an Ir sensor and with an output in the form of a relay which functions as a switch to rotate the blade. This test was carried out fifty times using three different types of bananas, namely, wak bananas, kapok bananas, and flower bananas. The results of testing three types of bananas, namely weak bananas, kapok bananas, and flower bananas, have the same thickness level, namely 1mm. This tool concludes that it makes it easier for people to slice bananas from manual to automatic so that the thickness is the same. The tool works based on input from two IR sensors using an analog signal pin connected to Arduino. The two IR sensors will detect if there is movement near the container.
Co-Authors Alvira, Mise Amsar, Amsar Anugreni, Fera Anwar, Ihsan Candra, Rudi Arif Herry Setiawan Ilham, Dirja Nur Jannah, Dina Miftahul Khairuman, Khairuman Saputra, Devi Satria Yanti, Yulisda