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All Journal Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian UNDIKMA Jurnal Teknik Informatika (JUTIF)
Maratuttahirah
Information System Study Program, Institut Teknologi Bacharuddin Jusuf Habibie, Parepare, Indonesia
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Utilization of Google Workspace as a Productivity and Collaborative tool in supporting Active, Innovative, and Creative Learning at SMAN 3 Parepare Alvian Tri Putra DA; Rosmiati Rosmiati; Khaera Tunnisa; Maratuttahirah Maratuttahirah; Rakhmadi Rahman; Noel Ivander Pusung; Danang Fatkhur Razak; Nur Fadillah Hakim; Siti Nurhalizah; Syafira Fatwa; Alya Wulan Apriliyani
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2023): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v6i2.3122

Abstract

Community service activities that will be carried out at SMAN 3 Parepare are community service activities that will be carried out based on problems in partner schools, namely in the teaching and learning process where teachers provide material and assignments by explaining directly to students without any media and learning technology. A learning process like this can reduce student enthusiasm for learning, so learning objectives cannot be adequately achieved. The purpose of this service activity is to provide an introduction and training to teachers and students regarding Google Workspace for Education, which has advantages such as having virtual classes, online absences, implementing online video streaming/face-to-face learning, being able to assess student assignments directly, availability of facilities which can assist students and teachers in terms of uploading and downloading lesson materials and projects, providing discussion forum facilities, as a simple and flexible tool to increase the effectiveness of collaboration between teachers and students and as a comprehensive solution in the use of technology for teachers to be able to develop professionally, work efficiently, teaching interactively by utilizing Google Workspace for Education for learning, and being able to increase student learning enthusiasm to encourage academic integrity to support active, innovative and creative learning.
Empowering High School Students through Financial Planning Education at SMAN 5 Parepare, South Sulawesi Ekasasmita, Wahyuni; Rahmi, Nur; Maratuttahirah, Maratuttahirah; Miftahulkhairah, Miftahulkhairah; Fajri S, Ahmad; Sarmila, Sarmila; Putri, Anggita
Jurnal Pengabdian UNDIKMA Vol. 5 No. 4 (2024): November
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v5i4.12887

Abstract

This community service aimed to empower high school students by providing education on financial planning at Senior High School 5 Pare pare, South Sulawesi. The methods employed included interactive workshops, presentations, and hands-on activities designed to enhance students’ understanding of financial literacy, budgeting, and savings. Pre-test and post-test assessments were administered to measure the participants' financial literacy levels before and after the intervention. The results demonstrated a significant increase in students’ awareness and knowledge of managing personal finances, as reflected in post-workshop surveys and group discussions. Participants showed an improved ability to plan and prioritize their financial goals, contributing to their overall preparedness for future financial challenges. This initiative effectively promoted responsible financial behavior among students.
LEAF DISEASE DETECTION IN TOMATO PLANTS USING XCEPTION MODEL IN CONVOLUTIONAL NEURAL NETWORK METHOD Arifin, Nurhikma; Maratuttahirah; Juprianus Rusman; Muhammad Furqan Rasyid
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1926

Abstract

This study aims to detect leaf diseases in tomato plants by applying the Xception model in the Convolutional Neural Network (CNN) method. The study categorizes tomato conditions into three main categories: Early Blight, Late Blight, and Healthy. Early Blight is generally infected by specific pathogens that cause spots and damage in the early stages of plant growth, while Late Blight is infected by pathogens in the later stages of the growing season. Meanwhile, the healthy category indicates normal conditions without disease symptoms. The dataset used consists of 300 tomato images, with each category having 100 images. In the model training phase using the fit method in TensorFlow, 17 epochs were performed to teach the model to recognize patterns in tomato leaf disease images in the training dataset. The model testing results on 30 tomato leaf images showed an accuracy rate of 85.84%. This result indicates a positive indication that the developed CNN model performs well in detecting and classifying tomato leaf conditions. Thus, this research can contribute to improving the understanding and management of leaf diseases in tomato plants to support more productive and sustainable agriculture.
Co-Authors Ahmad Fajri Alvian Tri Putra Darti Akhsa Alya Wulan Apriliyani Arifin, Nurhikma Danang Fatkhur Razak Fajri S, Ahmad Juprianus Rusman Khaera Tunnisa, Khaera Miftahulkhairah, Miftahulkhairah Muhammad Furqan Rasyid Noel Ivander Pusung Nur Fadillah Hakim Nur Rahmi Putri, Anggita Raden Mohamad Herdian Bhakti Rakhmadi Rahman Rosmiati Sarmila, Sarmila Siti Nurhalizah Syafira Fatwa Wahyuni Ekasasmita