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All Journal Mattawang: Jurnal Pengabdian Masyarakat Panrannuangku Jurnal Pengabdian Masyarakat Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Journal of Deep Learning, Computer Vision and Digital Image Processing Indonesian Technology and Education Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal MediaTIK Innovation and Applied Education Journal Artificial Intelligence in Lifelong and Life-Course Education Journal of Applied Artificial Intelligence in Education
Putri Nirmala
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Humanities Computer Science & IT Education Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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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.
PENGEMBANGAN APLIKASI SEWA MOBIL YANG MEMBAWA PILI HAN DAN KENYAMANAN BAGI PELANGGAN: DEVELOPMENT OF A CAR RENTAL APP THAT BRINGS PILI HAN AND CONVENIENCE TO CUSTOMERS Muh Dzaky Baridwan; Dimas Prayoga; Akmar Aqilah Kautsar; Andi Fatir Islam; Putri Nirmala; 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

The development of means of transport is now increasing rapidly, making it easier and more efficient for people. Transport is not only a means of moving places, but also contributes to economic, social and quality of life activities. This research uses the agile method for the development of the Drift Rent car rental application. The agile method is an approach that focuses on incremental and iterative system development, prioritising teamwork between developers and customers and the ability to adapt to changes during the development process. The development of the Drift Rent app began with the analysis phase, where the car rental app was identified as a user and business need. This analysis included data collection through surveys and interviews with potential users, as well as a review of similar applications. The results of the analysis showed that users needed an application that facilitated login, registration, booking a car, and viewing order history. Based on the development of this project, it can be concluded that the car rental app successfully combines the required features with a user-friendly interface. All business objectives and user needs have been considered in the development process, from analysis to testing. Through this application, users can easily login, book a car, and view their order history.
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.
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.
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.
Social Environment and Internet Engagement as Predictors of Cyberbullying in Young People Herawati; Shalsa Nabila; Putri Nirmala; Ummul Khaeri Masna
Indonesian Technology and Education Journal Vol. 3 No. 2 (2025): Agustus
Publisher : Sakura Digital Nusantara

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Abstract

Social media has become an important part of young people's lives, not only as a means of communication and entertainment, but also as a space for intense social interaction. The high intensity of internet use brings both positive opportunities and risks, one of which is cyberbullying which has a serious impact on mental health, such as anxiety and depression. This study aims to analyze the effect of internet usage intensity and social environment on cyberbullying tendencies in college students. The research method used a quantitative approach with a cross-sectional design. Data were obtained through a five-point Likert scale online questionnaire filled out by 83 respondents from various generations. Descriptive analysis showed that aspects of social media use were quite high, while direct experience of cyberbullying was relatively lower. Social environment support was moderate, but awareness of cyberbullying prevention was high. The findings indicate that the intensity of internet use potentially increases the risk of cyberbullying, but social environmental factors and digital awareness can serve as important protections. This research provides practical contributions in the form of recommendations for digital literacy, strengthening family support, and social media monitoring to create a safer digital ecosystem for the younger generation.
Application Development for Fasting and Worship Management Ramadan Using the Incremental Method: Kareem Daffa Fakhir; Nabila Al Buqari Jufri; Muh Akhlatul Ihsan; Putri Nirmala; Ummul Khaeri Masna
Indonesian Technology and Education Journal Vol. 3 No. 2 (2025): Agustus
Publisher : Sakura Digital Nusantara

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Abstract

The development of Artificial Intelligence (AI) in education, especially in design teaching, offers great potential to improve students' creativity, reflection, and design thinking mindset. This study aims to evaluate the effect of AI integration in design-based learning on students' creative thinking ability, reflection, and design mindset. The study used quantitative methods with a cross-sectional design, involving 82 respondents from various departments in higher education institutions. The research instrument was a questionnaire covering aspects of creativity, reflection, and design mindset. The data analysis technique used descriptive analysis. The results showed that 59.76% of the respondents were 19 years old, and most (85.37%) were 3rd semester students. The use of AI in design-based learning was proven to increase student creativity with an average score of 3.66 on a scale of 5, strengthen reflection skills with an average of 3.63, and improve design thinking mindset with an average of 3.75. However, the results also revealed that AI is more effective as a supporting tool in the learning process rather than replacing direct interaction between students and educators. Therefore, AI can be integrated as a tool that supports creativity, but still requires the role of human guidance.
Implementasi E-learning pada Mahasiswa UNM dengan Menggunakan Model UTAUT Elma Nurjannah; Annajmi Rauf; Andi Dio Nurul Awalia; Putri Nirmala
Innovation and Applied Education Journal Volume 2, Issue 3, Oktober 2025
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/iaej.v2i3.255

Abstract

E-learning telah menjadi strategi penting dalam menyediakan akses yang luas dan mudah terhadap pendidikan berkualitas. Di Indonesia, konsep ini banyak diterapkan di perguruan tinggi, termasuk Universitas Negeri Makassar (UNM), sebagai sarana pendukung kegiatan pembelajaran. Penelitian ini bertujuan untuk menganalisis persepsi mahasiswa serta faktor-faktor yang memengaruhi kepuasan mereka dalam menggunakan e-learning dengan mengadopsi model Unified Theory of Acceptance and Use of Technology (UTAUT). Model UTAUT dipilih karena memiliki struktur teoritis yang kuat dalam menjelaskan penerimaan teknologi dan relevan untuk menilai keberhasilan implementasi sistem pembelajaran daring. Penelitian ini menggunakan pendekatan kuantitatif deskriptif dengan metode survei terhadap 32 mahasiswa aktif UNM yang telah menggunakan platform e-learning kampus. Hasil penelitian menunjukkan bahwa mahasiswa memiliki persepsi positif terhadap efektivitas e-learning, kemudahan penggunaan, dukungan institusi, dan pengaruh sosial, yang seluruhnya sesuai dengan empat konstruk utama UTAUT: performance expectancy, effort expectancy, social influence, dan facilitating conditions. Temuan ini memberikan bukti empiris bahwa e-learning telah diadopsi dengan baik dan dapat menjadi dasar penguatan kebijakan transformasi pembelajaran digital di perguruan tinggi.
Sistem Pakar Gangguan Menstruasi dengan Metode Teorema Bayes Ismail Ismail; Putri Nirmala; Rina Andriyani
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 3 (2025): November: Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i3.1748

Abstract

Advancements in information technology have brought significant impacts in the healthcare sector, particularly in the medical diagnosis process. Expert systems, as a technological innovation, mimic the capabilities of human experts in making decisions based on knowledge bases and inference rules. The development of expert systems aims to improve the efficiency and accuracy of diagnosis, especially when facing uncertainty and variations in clinical data. This system integrates symptom data, diseases, and prior probabilities derived from epidemiological studies and expert medical experience. In this study, the author designed and implemented an expert system for diagnosing menstrual disorders based on the Bayes’ Theorem method. The system utilizes main components such as a knowledge base, inference engine, and an intuitive user interface. The system workflow begins with the collection of symptom data, calculating probabilities using Bayes’ Theorem, and ultimately delivering probabilistic diagnoses presented informatively to the user. Testing the system demonstrated satisfactory accuracy in identifying menstrual disorders such as menorrhagia, dysmenorrhea, and premenstrual syndrome (PMS). The results show that applying Bayes’ Theorem enhances system reliability in managing data uncertainty and provides diagnosis recommendations based on probability. This system is expected to serve as an effective tool for healthcare professionals and patients for early diagnosis of menstrual disorders while expanding access to accurate and trustworthy health information. Future development will focus on improving the knowledge base and integrating advanced technologies to maximize its benefits in reproductive health.
Co-Authors Ahmad Syarif Hidayatullah Akhmad Affandi Akmar Aqilah Kautsar Andi Dio Nurul Awalia Andi Fatir Islam Andika Isma Annajmi Rauf Daffa Fakhir Della Fadhilatunisa Desi Arianti Dimas Prayoga Elma Nurjannah Fachry Abda El Rahman Fadhlirrahman Baso Hajar Dewantara Herawati Irwansyah Suwahyu Ismail Ismail M. Gilang Ramadhan M. Miftach Fakhri M. Nurul Fajri Marwan Ramdhany Edy Muh Akhlatul Ihsan Muh Dzaky Baridwan Muh. Ihsan Zulfikar Muhammad Arafah Alif Muhammad Imran Hidajat H Muhammad Ma’ruf Musaytir Husain Mustamin Nabila Al Buqari Jufri Nailha Dinda Aprilia Nurfauziah Nurrahmah Agusnaya NURUL AZIZAH Rachmawaty Kadir Rahmawati Ratna Kartika Sari Ricky Saputra Rina Andriyani Rosidah Ruslan Kadir Shalsa Nabila Shera Afidatunisa Syukur, Pramudya Asoka Ummul Khaeri Masna Wahyu Hidayat M