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All Journal JAIS (Journal of Applied Intelligent System) Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Pengabdian Masyarakat (ABDIRA) Ngudi Waluyo Empowerment : Jurnal Pengabdian Kepada Masyarakat
Suamanda Ika Novichasari
Teknologi Informasi, Universitas Tidar
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Journal : JAIS (Journal of Applied Intelligent System)

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Particle Swarm Optimization For Improved Accuracy of Disease Diagnosis Suamanda Ika Novichasari; Iwan Setiawan Wibisono
Journal of Applied Intelligent System Vol 5, No 2 (2020): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v5i2.4242

Abstract

The increasing number of patients suffering from various diseases and the impact and high cost of medical treatment for the community has made the government or health communities seek solutions for prevention from an early age. This valuable information can be found using artificial intelligence and data mining. Most diseases are dangerous; if detected early and adequate diagnosis and treatment are available, there will be a chance for a cure. The main objective of this study was to use Particle Swarm Optimization (PSO) to improve the accuracy of several classification methods, namely Naive Bayes, C4.5, Support Vector Machine (SVM), and Neural Network (NN) to detect heart disease, hepatitis, kidney, and breast cancer. The method used in this research is the CRISP-DM model, with 5 stages. The data used were four disease data from UCI Machine Learning. The result of this research is that PSO can improve the accuracy of Naive Bayes, C4.5, SVM, and NN.
Application of PSO in CNN attribute weighting for banana tree classification based on leaf images Novichasari, Suamanda Ika; Nata, Imam Adi
(JAIS) Journal of Applied Intelligent System Vol. 8 No. 3 (2023): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i3.9170

Abstract

Banana (Musa paradisiaca) is a very popular fruit in Indonesia. Banana production in Indonesia, with more than 200 types of bananas, accounts for more than 50% of banana production in Asia. Differences in how to consume Ambon bananas and Kepok bananas and their various benefits encourage cultivators to be careful in choosing seeds to avoid mistakes. Distinguishing the seeds of Ambon bananas and kepok bananas is more difficult than distinguishing between Ambon bananas and kepok bananas. This is because the leaves and stems of the seeds look the same. The purpose of this study is to use an optimization algorithm to improve the performance of the image classification algorithm on the image of kepok banana leaves and Ambon bananas to assist in the selection of banana plant seeds that can be used by banana cultivators to get the maximum benefit according to the desired type of banana. The results of this study are used as the basis for making a decision support system to assist in the selection of banana plant seeds that can be used by banana cultivators in order to get the maximum benefit according to the desired type of banana
Co-Authors Abdillah, Mokhammad Nurkholis Adam, Otmar Shah Alifia Revan Prananda Bagus Fatkhurrozi D Jayus Nor Salim Damar Wicaksono Dhanang Suwidagdho Dhanang Suwidagdho Eka Legya Frannita Ibrahim Nawawi Imam Adi Nata Iwan Setiawan Wibisono Kartika Yuni Purwanti Majidah, Zharifa Nur Otmar Shah Adam Rakhmawati, Restu Setya Wijaya, Vania Amelia Swantyka Ilham Prahesti Syifa Fauziah Syifa Fauziah Vania Amelia Setya Wijaya Wibowo, Fadhila Syahida Wibowo, Rheza Ari Zulmi Roestika Rini