Article Per Year (5 Year)
p-Index From 2021 - 2026
2.233
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Transmisi: Jurnal Ilmiah Teknik Elektro Dimas: Jurnal Pemikiran Agama untuk Pemberdayaan Jurnal Teknologi Elektro JOIN (Jurnal Online Informatika) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Edsence: Jurnal Pendidikan Multimedia Indonesian Journal of Electrical Engineering and Computer Science Jurnal AbdiMU Jurnal Mahasiswa Mengabdi (JIMAWAbdi) Fuse-teknik Elektro
lia kamelia
Fakultas Sains dan Teknologi UIN Sunan Gunung Djati Bandung
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : IAES International Journal of Artificial Intelligence (IJ-AI)

 1 
CLG clustering for dropout prediction using log-data clustering method Agung Triayudi; Wahyu Oktri Widyarto; Lia Kamelia; Iksal Iksal; Sumiati Sumiati
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i3.pp764-770

Abstract

Implementation of data mining, machine learning, and statistical data from educational department commonly known as educational data mining. Most of school systems require a teacher to teach a number of students at one time. Exam are regularly being use as a method to measure student’s achievement, which is difficult to understand because examination cannot be done easily. The other hand, programming classes makes source code editing and UNIX commands able to easily detect and store automatically as log-data. Hence, rather that estimating the performance of those student based on this log-data, this study being more focused on detecting them who experienced a difficulty or unable to take programming classes. We propose CLG clustering methods that can predict a risk of being dropped out from school using cluster data for outlier detection.
Rice quality classification system using convolutional neural network and an adaptive neuro-fuzzy inference system Kamelia, Lia; Zaki Hamidi, Eki Ahmad; Muhammad Fadilla, Reno
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i4.pp4113-4120

Abstract

In the food sector, rice processing and classification are essential operations that help maintain strict quality and safety standards, satisfy various consumer preferences, and satisfy particular market demands. Artificial intelligence (AI) and machine learning techniques are used in automated systems to reliably and effectively classify rice quality. This research compares a rice quality classification system using a convolutional neural network (CNN) and an adaptive neuro-fuzzy inference system (ANFIS). Both methods are evaluated for their ability to classify rice based on quality, utilizing a dataset encompassing various physical characteristics. The comparative analysis results reveal the strengths and weaknesses of each approach in addressing this classification task. In this research, two classification systems for different varieties of rice-medium and premium—are compared. CNN and ANFIS are the techniques applied. The CNN accuracy on the rice picture is 62.5%. Thus, a contrast enhancement procedure was applied and had better accuracy at 75%. However, when contrasted with the classification made using the ANFIS approach, the ANFIS method continued to yield the best accuracy, 82.25%.
Co-Authors Abdul Rahman, Titik Khawa Adam Faroqi Agung Triayudi Anika, Ruri Anisa Nur Rahmah Fajri Apriatin, Lia Edi Mulyana Faturrahman, Daffa Hidayat, Rafi Maulana Ibanez Valentino Iksal Iksal Joyo Kusumo, Febrian Khusnul Kharisma Lahwa Alghifari, Muhammad M. Yogi Riyantama Isjoni Martina, Annisa Media, Galih Milah, Ahmad Saepul Mudzakkir Ridwan, Azwar Muhamad Fahmi Amrillah Muhammad Ali Ramdhani Muhammad Fadilla, Reno Mukhtar, Dimas Ali Nike Sartika Ningsih, Laini Rahayu Nuraeni, Eneng Nurmalasari, Rin Rin Ramdani Wahyu Sururie Renaldi Gunawan, Muhammad Rifki Reni Haerani Rifa'i, Afaf Fadhil Rohmanur Aziz, Rohmanur Sartika, Nike Sumiati, Sumiati Susilowati, Reni Tri Murti Wahyu Oktri Widyarto Widodo, Adji Yusuf, Ichsan Nur Rachmad Zaki Hamidi, Eki Ahmad