Claim Missing Document
Check
Articles

Found 14 Documents
Search

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.
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.
Microsoft Project Application in Optimizing Activities for Compiling Activity Programs at the Lapadde Village Office Khaera Tunnisa; Rakhmadi Rahman; Alvian Tri Putra; Mar’atuttahirah; Rosmiati; Lukman Hakim; Januar Fahrisal; Akmal Baharuddin Syam
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2024): 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.v7i1.4173

Abstract

Information and communication technology is necessary for every government and private agency. As one of the government agencies, Lapadde Village, Parepare City, requires knowledge and communication technology to compile activity programs. From these problems, Lapadde Village staff need a solution that can help in compiling a reasonable, timely, quality program of activities according to the budget that has been provided. The method used to solve this problem is MS Project Application Training. MS application. Project is one of the software that can be used to manage scheduling, budget, and resources in an activity plan. The training activities are carried out in several stages, namely, presentation of Project Management and MS Project materials, problem analysis according to the case studies determined by the participants, and MS Project implementation in case studies equipped with training modules. This training results in participants knowing the MS Project application, its features, and how to implement it in the activity program.
Utilization of Augmented Reality to support the creation of interactive learning media at the Showatul Is'ad Islamic Modern Islamic Boarding School, Pangkep Regency: Pemanfaatan Teknologi AR untuk membuat media pembelajaran Interaktif dan Aplikatif di Pondok Pesantren Modern Islam Shohwatul Is’ad Kabupaten Pangkep. Mar’atuttahirah, Mar’atuttahirah; Tunnisa, Khaera; Rahman, Rakhmadi; Tri Putra DA, Alvian; Rosmiati, Rosmiati; Abdullah, Abdullah; Barik Alfito, Ramadan; Najwa, Hafizhah; Tri Aditya, Muh
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 9 No 2 (2024): Agustus
Publisher : Politeknik Negeri Jember

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

Abstract

Information technology continues to develop rapidly and can be used to make human work more accessible. In the world of education, students are expected to be able to adapt to the environment and create positive things using technology. Technology can be used in the world of education to support the development of student knowledge. Learning media is one of the factors that play an essential role in the teaching and learning process and knowledge development. The learning media used by the Showatul Is'Ad Islamic Boarding School teachers is textbooks that contain theories that cause students to get bored and not understand abstract material. Therefore, in the research, training was carried out in creating interactive and applicable learning media using the Assemblr Edu Augmented Reality Platform. Developing learning materials using AR can help students easily understand abstract theories by providing virtual, 3D materials and implementing them in the real world. The result of this activity is that the teacher has created learning media material for science subjects that explains body organs, making it easier for students to understand the actual representation of organs and their functions in 3D visual form.
DESAIN PEMBUATAN MEDIA PEMBELAJARAN INTERAKTIF DENGAN CLASS POINT AI DI UPTD SD 62 PAREPARE Rahman, Rakhmadi; Mar’atuttahirah, Mar’atuttahirah; Tunnisa, Khaera; Putra, Alvian Tri; Abdullah, Abdullah; Al-Amin, Muh.; Suryabuana, Andi Sahra; Ramadhan, Syam Syahru; Fathuresqi, Fathuresqi
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 (2023): Volume 4 Nomor 6 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i6.21982

Abstract

Kegiatan pengabdian yang akan dilaksanakan di UPTD SD 62 Parepare merupakan kegiatan pengabdian yang akan dilaksanakan berdasar dari masalah yang ada di UPTD SD 62 Parepare yaitu dalam Dalam proses pembelajaran, guru menggunakan aplikasi power point sebagai media untuk menyampaikan materi, belum ada pengembangan sumber daya dalam pembelajaran dengan memberikan pelatihan desain pembuatan media pembelajaran interaktif. Ternyata dengan hal tersebut dapat menurunkan semangat belajar siswa sehingga tujuan pembelajaran tidak tercapai dengan baik. Tujuan kegiatan pengabdian ini adalah untuk memberikan pelatihan desain pembuatan media pembelajaran interaktif di UPTD SD 62 Parepare dengan Class Point AI sehingga nantinya guru dapat membuat media pembelajaran  dengan pemanfaatan teknologi AI sebagai solusi yang komprehensif untuk guru mampu berkembang secara professional, mampu meningkatkan efektifitas siswa, bekerja secara efisien, mengajar secara interaktif dengan pemanfaatan Class Point AI  sehingga mendorong integritas akademik untuk mendukung pembelajaran yang aktif, kreatif dan inovatif. Luaran Kegiatan PKM akan di publikasikan pada Jurnal Pengabdian Kepada Masyarakat.
Development of Student E-Attendance System using QR-Code and WhatsApp Gateway with The Iterative Model Based on Android Mar’atuttahirah; Miftahulkhairah; Alfito, Ramadan Barik
Jurnal Teknologi Elekterika Vol. 21 No. 2 (2024)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v21i2.5026

Abstract

The rapid advancement of technology not only creates new industries but also reshapes global competition. In higher education, learning implementation must meet standards for content, process, and assessment. Student attendance plays a significant role within these standards. Using Android smartphones for attendance tracking resolves issues related to student presence, saves time, and enhances the efficiency and accuracy of the attendance recapitulation process for lecturers. This study explores an innovative system that integrates QR-Code and WhatsApp Gateway using an iterative model on a single platform. Blackbox testing confirmed that all features and functions of the Android application work as intended. Furthermore, a Likert scale evaluation scored 89%, indicating that the e-attendance system effectively facilitates student attendance and helps lecturers summarize attendance data more accurately and efficiently. The system then provides this data as administrative monitoring reports for the academic department regarding the conducted lectures.
Klasifikasi Omset ATK menggunakan Algoritma Naïve Bayes Ira, Mar'atuttahirah
Journal of System and Computer Engineering Vol 5 No 1 (2024): JSCE: Januari 2024
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v5i1.1100

Abstract

Small businesses play a role in absorbing work energy, as a source of innovation, providing economic services to the community and in the process of equalizing and increasing community profit. One of the factors that influences the dynamics of modern business is technological progress. Evolving technology has opened the door to rapid innovation. Profit classification is a popular and effective approach for businesses that can tailor marketing strategies to each group more effectively which will impact business profit. The stock condition of an item greatly influences sales revenue. The increasing demand for goods will result in large profit. Product availability to meet consumer needs is a problem that must be overcome. The stock condition of an item greatly influences sales profit. This research is related to the classification of profit for each item sold in a shop, whether it is sold a lot or not enough to maximize the stock of goods per time using the Naive Bayes algorithm. From data research, attribute grouping, preprocessing, data transformation and modeling were carried out using the Naïve Bayes algorithm in the Python programming language. Testing the Naïve Bayes algorithm obtained 90% accuracy results for the classification of stationery profit. The system can determine the classes of goods that are sold a lot and goods that are not sold enough, becoming a solution for shop leaders to more easily take business strategies quickly and optimally which of course will affect profit.
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.
MSMEs Recommendation System using Item-Based Collaborative Filtering and LightGBM Machine Learning Mar’atuttahirah, Mar’atuttahirah; Tunnisa, Khaera; Ra, Danang Fatkhur Razak; Najwa, Hafizah; Fahrisal, Januar
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5292

Abstract

Micro, Small, and Medium Enterprises (MSMEs) face challenges in recommendation systems for digital economy growth, particularly in participatory development and sustainable revenue optimization. This study aims to develop a recommendation system using Item-Based Collaborative Filtering and LightGBM for stock prediction and item recommendation at Kedai Pesisir MSME. Based on 1,229 transaction records from January to July 2025, we performed preprocessing, feature engineering, and LightGBM training to generate daily stock predictions and monthly priorities for August 2025 to January 2026. Evaluation yielded RMSE 0.069, MAE 0.034, and MAPE 1.14%, indicating high accuracy. This advances informatics by providing a scalable AI tool for MSME inventory management and revenue enhancement, supporting strategic decisions in dynamic markets.