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Pelatihan Model Pembelajaran Interaktif Berbasis Aplikasi SLIDO di SMAN 5 Parepare Eka Qadri Nuranti; Naili Suri Intizhami; Putri Ayu Maharani; Mardhiyyah Rafrin; Muh. Agus
Jurnal Pengabdian Masyarakat Bangsa Vol. 1 No. 5 (2023): Juli
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v1i5.190

Abstract

Seorang pendidik selalu berusaha menciptakan suasana kelas yang menarik, kreatif, dan efektif sepanjang jadwal pembelajaran. Menyadari pentingnya keterlibatan siswa dalam proses belajar-mengajar, diperlukan penerapan metode pembelajaran interaktif yang memungkinkan terjadinya komunikasi dua arah antara guru dan siswa. Hal ini memungkinkan para siswa untuk aktif berpartisipasi dalam proses belajar-mengajar, dan menyampaikan pendapat, serta respon terhadap materi yang diajarkan. Namun, tanpa dukungan teknologi dan media yang tepat, pelaksanaan metode ini menjadi sulit dan menghambat tercapainya tujuan pembelajaran secara optimal. Meskipun banyak pendidik sudah familiar dengan konsep dan model pembelajaran interaktif, penerapannya masih belum mencapai potensinya dengan baik. Oleh karena itu, kegiatan pengabdian yang penulis lakukan difokuskan pada pemanfaatan media pembelajaran interaktif dengan menggunakan platform SLIDO, yang telah terbukti efektif dan menarik bagi para penggunanya. Kegiatan pengabdian ini diimplementasikan di sebuah Sekolah Menengah Atas, dengan tujuan untuk memberikan pelatihan dan pembekalan kepada para guru dalam mengoptimalkan penggunaan media interaktif ini.
Development of A Presence System for Students Using QR Code Based on Android Application Mar'atuttahirah Mar'atuttahirah; Mardhiyyah Rafrin; Mahdaniar Mahdaniar; Putri Ayu Maharani
EPI International Journal of Engineering Vol 5 No 2 (2022): Volume 5 Number 2, August 2022
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.082022.07

Abstract

The Department of Information System at Institut Teknologi B.J. Habibie still physically records each student's attendance by having them sign a presence sheet for each course. Due to the ease with which fraudulent signatures can be used to manipulate the traditional system, there may be some issues. Additionally, manual presence recapitulation takes more time and could be less precise and effective. This research aims to develop a prototype of Android-based application of student presence system with QR Code technology in the Department of Information System, Institut Teknologi B.J. Habibie. Following the creation of the presence system prototype, ISO 25010 quality standards were used to evaluate the application. The criteria evaluated are functionality, usability, portability, performance efficiency, and security. The application’s functionality was tested by two system experts by using Guttman Scale and it gained 100% yes answer. The usability was tasted from 30 users rating the application usability through a survey using Likert Scale, it achieved the average percentage of positive answers is 91%. The performance efficiency was classified as grade A by GTmetrix testing site. Similarly, the security system tested by sslabs.com achieved grade A. Furthermore, the portability was tested by using 4 different web browsers for the web version and by installing the application on 4 different smartphones and they showed no errors. Based on the overall assessment result, the Android-based Student Presence System is feasible, efficient, suitable and secure.
Pelatihan Pembuatan Modul Pembelajaran Interaktif Berbasis Aplikasi Quizizz dan Google Slide bagi Guru SMAN 5 Parepare Naili Suri Intizhami; Indar Chaerah Gunadin; Eka Qadri Nuranti; Putri Ayu Maharani; Mardhiyyah Rafrin; Muh Agus; Osama Iyad Al Ghozy; Nur Inaya Bahar; Muhammad Rivaldi Jefri; Muhammad Aldi Alfatih
Jurnal Pengabdian UNDIKMA Vol. 4 No. 4 (2023): November
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v4i4.9218

Abstract

This community service project aims to enhance the knowledge and skills of SMAN 5 Parepare teachers in developing interactive learning modules based on Google Slide and Quizizz applications and implementing Image Recognition technology. This method of implementation used training and reinforcement. This activity's evaluation instrument employed questionnaires, which were then descriptively analyzed using pre-test and post-test data. The results of this study indicated that teachers at SMAN 5 Parepare could develop interactive learning modules based on Google Slides and Quizizz adapted to the subject matter being taught. 38% of all questions answered correctly by the participants in this activity improved their teacher's skills.
Integration of YOLOv8 and IoT-Based LiDAR Sensors on Drones for Deforestation Area Detection and Reforestation Mapping Muh. Agus; Putri Ayu Maharani; Ilham Ali Marka M; Muhammad Aslam Al-Fadillah
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.11778

Abstract

Deforestation has caused significant ecosystem degradation and increased the need for more accurate and efficient monitoring systems and reforestation planning. This study develops an integrated system combining YOLOv8 and Internet of Things (IoT)-based LiDAR sensors on a drone platform to detect deforested areas and generate 3D mapping to support reforestation efforts. The dataset consists of 1,822 aerial images collected from public datasets and drone-mounted cameras under various lighting conditions and flight altitudes. The YOLOv8 model was trained using transfer learning with an input size of 640 Ă— 640, a batch size of 16, a learning rate of 0.001, and 100 training epochs. The results demonstrate that the model achieved a precision of 93%, a recall of 90%, and an mAP@0.5 of 94%, while successfully performing real-time deforestation area detection on the drone platform. Integration with the LiDAR sensor produced 3D point cloud visualizations with mapping deviations of less than 2 meters. The developed system effectively supports the identification of priority areas for reforestation more rapidly, accurately, and efficiently than conventional manual survey methods.