Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Media Infotama Jurnal Abdimas Serawai
Ikhlasul, Ridho
Unknown Affiliation
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PEMBELAJARAN DENGAN TEKNOLOGI CLASSROOM DAN APLIKASI ZOOM DI SEKOLAH DASAR NEGERI 51 KOTA BENGKULU Marhalim, Marhalim; Ikhlasul, Ridho; Wibowo, Teguh; Yoga, Yoga; Saputa, Angga; Fahry, Achmad
P-2776-3072
Publisher : Program Studi Administrasi Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dalam masa pandemi masalah yang dihadapi SDN 51 Kota Bengkulu adalah proses belajar secara tatap muka yang menjadi terhambat. Kegiatan pengajaran pada SDN 51 Kota Bengkulu belum menggunakan IT secara keseluruhan / manual dengan di jemput oleh wali siswa baik itu pemberian tugas dan maupun pengembalian tugas itu sendiri. Salah satu pendekatan yang dapat di lakukan untuk pembelajaran adalah dengan menggunak media yang dapat dimanfaatkan bagi guru dan siswa adalah teknologi informasi dengan model e-learning. Penelitian yng dilakukan SDN 51 Kota Bengkulu, Guru-guru dapat mengatur konten, membuat kelas, mengisikan beberapa konten dan mengakses pembelajaran menggunakan classroom serta sisw dapat mengakses kontent yang ada dikleas yang telah di siapkan, serta guru-guru di SDN 51 Kota Bengkulu dapat membuat kelas pembelajaran online via zoom meeting.Kata Kunci: classroom, aplikasi zoom, e-learning.
Klasifikasi Kualitas Buah SawitMenggunakan Metode Gray Level Co-occurrence Matrix Dengan Variasi Arah Obyek Ikhlasul, Ridho; Wijaya, Ardi; Veronica, Nuri David Maria; Toyib, Rozali
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5679

Abstract

The harvest of fresh fruit bunches (FFB) from palm fruit is done with fruit that is of good quality, namely fruit that is dark red in color or has lots of knots, so that the quality of the palm oil produced increases. Low quality produced will of course further weaken competitiveness. Determining the quality classification of palm oil can be done through image processing techniques. Classification is the process of declaring a data object to one of the previously defined categories. Categorization of data sets can involve grouping them into similar types of classification or identifying similar characteristics across a number of observations. Classification is supported by the concept of pattern recognition, classifying the quality of palm oil products as categories produced. Efforts to achieve the expected quality standards by using quality control. This classification of palm oil is divided into quality classes, namely good and not good. Knowing the quality of palm oil is done by making an application for palm oil quality using image processing. There are quite a lot of methods used in image processing technology. One of them is the Gray Level Co-Occurrence Matrix (GLCM) method. Gray Level Co-Occurrence Matrix (GLCM) is a method used for texture analysis/feature extraction, feature acquisition is obtained from matrix pixel values, which have certain values ​​and form an angle pattern. Palm Fruit Quality Classification Using Gray Level Co-occurrence Matrix With Variations in Object Direction. It is hoped that this application can help determine the quality of palm fruit more easily and efficiently.
Co-Authors Desyandri Desyandri Fahry, Achmad marhalim, marhalim Saputa, Angga Toyib, Rozali Veronica, Nuri David Maria Wijaya, Ardi Yoga, Yoga