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All Journal ABSYARA: Jurnal Pengabdian Pada Masyarakat CSRID
Christin Evasari Nainggolan
Universitas Bina Darma
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Engineering Environmental Science Library & Information Science Mathematics Other

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Pelatihan presentasi menggunakan Microsoft Power Point pada SMP Patra Mandiri 2 Palembang Rasmila Rasmila; Nurul Huda; Jemakmun Jemakmun; Aan Restu Mukti; Rahayu Amalia; Novri Hadinata; Kurniawan Kurniawan; Ade Putra; Christin Evasari Nainggolan
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 3 No 1 (2022): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v3i1.5853

Abstract

Learning media is a tool used by teachers to convey subject matter to students or media used by students to deliver assignments given by the teacher. In this training activity, computer-based learning media were introduced for presentations using Microsoft PowerPoint, which students of SMP Patra Mandiri 2 Palembang could use to present assignments given by the teacher to the front of the class with attractive shapes and appearances. Community Service Activities (PKM) in the form of training are carried out for two days, in which students are required to be able to make presentation materials using Microsoft PowerPoint and present the material they made in front of the computer laboratory room. This activity is carried out in direct and interactive practice, where students directly practice the material provided by the PKM Team, and students can also have direct discussions with the PKM Team. Before implementing the training activities, students were given a written knowledge test to determine the level of students' understanding of the training material to be delivered. Only 20% of the student participants often made materials using Microsoft PowerPoint. After two days of implementing this training activity, an evaluation was carried out regarding the knowledge and abilities of the student participants in creating and presenting material using Microsoft PowerPoint. From the evaluation results, it can be seen that all student participants have succeeded in making presentation materials using Microsoft PowerPoint and some student participants are also able to present the material in front of the class
Perbandingan Klasifikasi Jenis Sampah Menggunakan Convolutional Neural Network Dengan Arsitektur ResNet18 dan ResNet50 Christin Evasari Nainggolan; Muhammad Nasir; Fatoni; Devi Udariansyah
Computer Science Research and Its Development Journal Vol. 16 No. 1 (2024): February 2024
Publisher : LPPM Universitas Potensi Utama

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Abstract

Complex problems occur in dealing with waste, both in developing and developed countries, such as Indonesia. According to data from the Ministry of Environment and Forestry, in 2022 the total waste pile will reach 34,439,338.12 tons per year. In this research, machine learning will be used by comparing CNN architecture, ResNet18 with ResNet50, for the classification of waste types. This research uses 2527 images of garbage image data consisting of 6 classes, namely cardboard, glass, metal, paper, plastic and trash. Convolutional Neural Network is a component of the Deep Neural Network method that has the ability to identify objects in images with a high level of complexity. From the ResNet18 model test in this study, the accuracy was 98.69% and the test results on ResNet50 resulted in an accuracy of 99.41%. The precision and recall results of both models reflect excellent performance and accuracy of around 99%. So it can be concluded that both CNN models, ResNet18 and ResNet50, have excellent performance in classifying garbage images.
Co-Authors Aan Restu Mukti Ade Putra Amalia , Rahayu DEVI UDARIANSYAH Fatoni Hadinata, Novri Jemakmun, Jemakmun Kurniawan Kurniawan Muhammad Nasir Nurul Huda Rasmila