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Strengthening the Digital Competence of Teachers at SMAN 2 Barru: Artificial Intelligence and Augmented Reality Literacy for Inclusive Entrepreneurship Innovation Fakhri, M. Miftach; Andika Isma; Rosidah; Della Fadhilatunisa; Nurrahmah Agusnaya; Putri Nirmala
Panrannuangku Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2025)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/panrannuangku3994

Abstract

The digital competency strengthening program for teachers at SMAN 2 Barru focused on kecerdasan artifisial (KA) and augmented reality (AR) literacy to support inclusive entrepreneurship innovation. This activity was conducted to overcome limitations in the use of the latest technology among teachers, which previously hindered the development of research-based entrepreneurial products. The training methods used included introductory sessions, hands-on practice, and mentoring on the implementation of KA and AR technologies. The results of this program showed a significant improvement in the digital competency of the teachers, with the average pre-test score increasing from 73% to 80% after the training. In addition to improving technical skills, the training also strengthened teachers' confidence in utilizing KA and AR technology in the learning process and entrepreneurship development. However, limited infrastructure and external support remain challenges that need to be overcome to optimize the utilization of digital technology in schools. Recommendations are given to strengthen technology support and ongoing mentoring programs to improve the sustainability of technology implementation in learning and entrepreneurship activities.
PERANCANGAN APLIKASI RESERVASI FUTSAL (FUTSAL-IN) GUNA MEMPERMUDAH PEMESANAN APLIKASI SECARA ONLINE : DESIGNING A FUTSAL RESERVATION APPLICATION (FUTSAL-IN) TO FACILITATE ONLINE BOOKING APPLICATIONS M. Gilang Ramadhan; Muhammad Arafah Alif; Muhammad Imran Hidajat H; Putri Nirmala; Nurrahmah Agusnaya; Wahyu Hidayat M
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 3 Issue 1 Maret 2025
Publisher : CV. Sakura Digital Nusantara

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Abstract

The futsal reservation application is an innovative solution to facilitate the online field booking process. This article discusses the design of the Futsal-In application, which aims to simplify and enhance user experience in booking futsal fields efficiently. The design methods used include user needs analysis, user interface (UI) design, and development of a platform-based digital application. The Futsal-In application allows users to easily select the field, time, and desired duration, as well as make online payments. Through this approach, it is hoped that the Futsal-In application can improve efficiency in the futsal field booking process and enhance user satisfaction.
Pengembangan Aplikasi ToDoList Berbasis Mobile: Pendekatan Spiral Model untuk Mendukung Manajemen Waktu Mahasiswa: Mobile-based ToDoList Application Development: A Spiral Model Approach to Support Student Time Management Indra Alfit; Fauzan G; Salomo Benny Junian; Fauziah Rahmasari; Nurrahmah Agusnaya; Marwan Ramdhany Edy
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 3 Issue 1 Maret 2025
Publisher : CV. Sakura Digital Nusantara

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Abstract

The development of modern technology has driven the use of the internet in various fields, including education. Students often still use manual methods to record their activities, which are inefficient and prone to loss. Therefore, a to-do list application is needed to help students digitally record their activities. This study aims to develop an effective and efficient mobile-based ToDoList application. The application is expected to help students plan activities, set priorities, and ensure that important tasks are not missed. The development method used is the spiral model, an iterative and incremental approach that involves the stages of planning, analysis, design, implementation, testing, and evaluation in each cycle. This study emphasizes a deep understanding of user needs and the application of good interface design principles. In addition to technical development, the research also focuses on how the application can support time management and the achievement of user goals. Application testing is conducted to ensure that features function according to user expectations. Through this research, valuable insights are expected to be gained regarding the development of an effective ToDoList application that can improve users' quality of life through better time management and more efficient task completion.
Perancangan Sistem Informasi Keuangan Sekolah Berbasis Web untuk Meningkatkan Optimalisasi dan Transparansi Keuangan di SMA Al-Kadar: Designing a Web-based School Financial Information System to Improve Financial Optimisation and Transparency at Al-Kadar High School Nurul Aditya Pratiwia; Miftahul Janna Awaliyaha; Roman Febrian Dasmaselaa; Aprilia Manda Putria; Nurrahmah Agusnaya; Fadhlirrahman Baso
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 3 Issue 1 Maret 2025
Publisher : CV. Sakura Digital Nusantara

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Abstract

In today's digital era, school financial management faces challenges in transparency, efficiency, and reporting accuracy. This study aims to design a web-based Financial Information System (FIS) to support financial management at SMA Al-Kadar. The system was developed using the waterfall method, which includes stages of needs analysis, design, implementation, and black box testing. This system assists the school, parents, and students in managing payments, reporting, and other financial transactions more transparently and efficiently. The research results show that the implementation of the web-based FIS can improve transparency, minimize administrative errors, and support data-driven decision-making. Therefore, this financial information system is expected to optimally support the school's financial performance.
Pengaruh Kecerdasan Buatan dan Media Sosial terhadap Prestasi Akademik dan Kesejahteraan Mental Mahasiswa Rosidah; Musaytir Husain; Desi Arianti; Nurrahmah Agusnaya; Syukur, Pramudya Asoka; Putri Nirmala
Jurnal MediaTIK Volume 8 Issue 2, Mei (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

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Abstract

Perkembangan teknologi kecerdasan buatan (AI) dan media sosial telah memberikan dampak signifikan pada pendidikan tinggi, khususnya terhadap prestasi akademik dan kesejahteraan mental mahasiswa. Penelitian ini bertujuan untuk mengeksplorasi persepsi mahasiswa terhadap penggunaan AI dan media sosial dalam mendukung proses pembelajaran dan kesejahteraan mental mereka. Metode penelitian yang digunakan adalah kuantitatif dengan desain cross-sectional, melibatkan 86 mahasiswa dari berbagai universitas di Indonesia melalui teknik purposive sampling. Data dikumpulkan menggunakan kuesioner daring dan dianalisis secara deskriptif menggunakan SPSS. Hasil penelitian menunjukkan bahwa penggunaan AI memperoleh skor rata-rata tertinggi dibandingkan media sosial, pembelajaran cerdas, prestasi akademik, dan kesejahteraan mental, namun dengan variasi antar responden yang cukup besar. Meskipun AI dan media sosial berpotensi mendukung pembelajaran, penerapannya masih belum optimal dalam meningkatkan prestasi akademik dan kesejahteraan mental mahasiswa secara signifikan. Temuan ini memberikan wawasan mengenai persepsi mahasiswa terhadap teknologi dalam pendidikan, serta menekankan perlunya penelitian lanjutan dengan sampel yang lebih besar dan metode yang lebih mendalam
Menggali Dampak Kecerdasan Buatan dalam Pembelajaran dan Persiapan Kesiapan Kerja Mahasiswa di Pendidikan Tinggi Irwansyah Suwahyu; Muhammad Ma’ruf; Ricky Saputra; Syukur, Pramudya Asoka; Nurrahmah Agusnaya; Putri Nirmala
Jurnal MediaTIK Volume 8 Issue 2, Mei (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

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Abstract

Meskipun kecerdasan buatan (AI) memiliki potensi besar dalam meningkatkan kualitas pembelajaran dan kesiapan kerja mahasiswa, implementasinya di pendidikan tinggi Indonesia masih menghadapi kendala, seperti keterbatasan keterampilan digital mahasiswa dan kurangnya integrasi AI dalam kurikulum. Penelitian ini bertujuan untuk mengidentifikasi pandangan mahasiswa mengenai peran AI dalam mendukung pembelajaran dan mempersiapkan mereka untuk pasar kerja, serta untuk mengeksplorasi tantangan dalam penerapan AI di pendidikan tinggi. Penelitian ini menggunakan pendekatan kuantitatif dengan desain cross-sectional dan analisis deskriptif, di mana data dikumpulkan melalui kuesioner dengan skala Likert. Analisis data dilakukan menggunakan perangkat lunak statistik Jamovi 2.6.26. Mayoritas mahasiswa memiliki pandangan positif terhadap manfaat AI dalam mendukung pembelajaran dan mempercepat hasil belajar. Namun, ada ketidakpastian tentang pengaruhnya terhadap peran guru dalam proses belajar. Mahasiswa juga menunjukkan minat tinggi terhadap profesi di bidang AI dan data, namun menyadari adanya tantangan terkait infrastruktur dan keterampilan digital. Penelitian ini menunjukkan bahwa AI memiliki potensi besar untuk meningkatkan pembelajaran dan kesiapan kerja mahasiswa, namun tantangan terkait infrastruktur dan keterampilan digital perlu diatasi agar penerapannya lebih optimal.
Integrating Technology with Academic Success by Evaluating ChatGPT’s Quality Compatibility and Impact on Student Performance Irwansyah Suwahyu; Yohana Rara; Nur Syafitra Ramadhani; Rosidah; Putri Nirmala; Nurrahmah Agusnaya; Syukur, Pramudya Asoka
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.8532

Abstract

The use of artificial intelligence (AI) technology in higher education has become an important element to improve students' academic performance. ChatGPT, as one of the generative AI applications, offers speed, ease of use, and relevant responses to support students' learning activities. This study aims to analyze the relationship between overall technology quality, technology characteristics, technology task suitability, compatibility, and performance impact in using ChatGPT on students' academic performance. This study used a quantitative approach with a cross-sectional design and purposive sampling technique involving 182 active student respondents using ChatGPT. Data were collected through an online questionnaire using a 5-point Likert scale covering five main variables. The results of descriptive analysis show a mean value that illustrates that students generally have a positive perception of the use of ChatGPT in supporting their academic activities. These findings suggest that ChatGPT has great potential in improving student productivity and comprehension, although service quality, task suitability, and function compatibility need to be continuously improved to better suit academic needs. Thus, the implementation of ChatGPT in higher education needs to be planned adaptively and ethically in order to optimally support students' learning success in the digital era
Transforming Inclusive Entrepreneurship Through Economic AI Literacy and Infographics: An Empowerment Program Fakhri, M. Miftach; Andika Isma; Putri Nirmala; Nurrahmah Agusnaya; Rosidah
Mattawang: Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang3986

Abstract

Limited access to inclusive entrepreneurial literacy, especially in areas with minimal access to education and economic resources, is a major concern. This research aims to improve teachers' competencies in using modern technologies, such as economic AI literacy, data visualization, and augmented reality, in teaching. The research method used an Action Research approach that involved three main stages, namely the preparation, implementation, and reporting stages. The results of the pre-test and post-test data showed significant improvement in the teachers' understanding and application of technology. This study concludes that the integration of economic AI and infographics is able to improve teachers' pedagogical competence in supporting inclusive entrepreneurship. However, additional time and special training are needed to optimize the application of technology in daily learning activities.
Strengthening the Innovation Capacity of Student PKM Proposals through an AI-Generative-Based Co-Creation Learning Model with a Classroom Action Research Approach Nurrahmah Agusnaya; Putri Nirmala; Fakhri, M. Miftach; Wahyu Hidayat M; Rosidah
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Volume 2 Issue 3 April 2025: Jurnal Sipakatau
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v2i3.2514

Abstract

The low quality of student innovation in preparing Student Creativity Program (PKM) proposals remains a challenge in higher education, caused by limited research experience, weak team collaboration, and low utilization of Artificial Intelligence (AI) technology. This study aims to describe the implementation of an AI-based Co-Creation Learning model in improving students' abilities to prepare PKM proposals. This research used the Classroom Action Research (CAR) method, which was conducted in two cycles: the first cycle applied the Project-Based Learning (PjBL) model, and the second cycle applied the AI-based Co-Creation Learning model. The results showed an increase in the students’ average scores from 86.1 in the first cycle to 88.4 in the second cycle, with a decrease in the standard deviation from 2.32 to 1.37. Inferential analysis using a paired samples t-test revealed a t-value of -9.25 with p < 0.001 and an effect size (Cohen’s d) of -1.46, indicating a statistically significant improvement in learning outcomes. This model effectively supports collaboration, creativity, and students' skills in developing more relevant PKM proposals. Thus, the implementation of the AI-based Co-Creation Learning model is effective in enhancing students’ innovation capacity and supports the Merdeka Belajar Kampus Merdeka policy in strengthening excellent human resources in the digital era.
Analysis Of The Effect Of Chat GPT In Increasing Student Engagement In Blended Learning Alfian, Ade; Risaldi, Dedi; Ummul Khaeri Masna; Nurrahmah Agusnaya
Jurnal MediaTIK Volume 8 Issue 3, September (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

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Abstract

Technological developments are bringing fundamental changes to education in Indonesia. The use of portable devices such as smartphones and tablets, along with widespread internet access, has enabled students and educators to adopt technology, including ChatGPT, as an advanced learning tool. E-learning, especially the blended learning model that combines face-to-face and online learning, provides time and place flexibility for learners. In this context, ChatGPT is used as a learning assistant that can respond to students' questions and provide clearer explanations. This study, focusing on students' response to blended learning e-learning, used quantitative method with questionnaire as data collection tool. The findings showed that the use of ChatGPT as a learning assistant in the context of blended learning had a positive impact on student engagement. The majority of respondents stated that interaction with ChatGPT improved their understanding of learning materials and helped them overcome learning obstacles independently. The flexibility of time and place in e-learning is also a determining factor in the success of this blended learning model. Students considered that being able to access learning materials anytime and anywhere through their portable devices improved learning efficiency.