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All Journal Jurnal Media Infotama Jurnal Abdimas Serawai
Ridho Ikhlasul
Universitas Muhammadiyah Bengkulu
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

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Pembelajaran Dengan Teknologi Classroom dan Aplikasi Zoom di Sekolah Dasar Negeri 51 Kota Bengkulu Marhalim; Ridho Ikhlasul; Teguh Wibowo; Yoga; Angga Saputa; Achmad Fahry
JURNAL ABDIMAS SERAWAI Vol. 1 No. 2 (2021): Jurnal Abdimas Serawai (JAMS)
Publisher : Program Studi Administrasi Fakultas Ilmu Sosial dan Ilmu Politik Universitas Muhammadiyah Bengkulu 

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jams.v1i2.4551

Abstract

During the pandemic, the problem faced by SDN 51 In Bengkulu was the process of face-to-face learning that became hampered. The teaching activities at SDN 51 Kota Bengkulu have not used IT in its entirety / manual by being picked up by the student's guardian whether it is assignments and or the return of the assignment itself. One of the approaches that can be done for learning is to use media that can be used for teachers and students is information technology with e-learning model. The research was conducted by SDN 51 Kota Bengkulu, teachers can organize content, create classes, fill in some content and access learning using classrooms and sisw can access existing content that has been prepared, and teachers at SDN 51 Bengkulu can create online learning classes via zoom meeting
Klasifikasi Kualitas Buah SawitMenggunakan Metode Gray Level Co-occurrence Matrix Dengan Variasi Arah Obyek Ridho Ikhlasul; Ardi Wijaya; Nuri David Maria Veronica; Rozali Toyib
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 Achmad Fahry Angga Saputa marhalim, marhalim Nuri David Maria Veronica Teguh Wibowo Toyib, Rozali Wijaya, Ardi Yoga