Article Per Year (5 Year)
p-Index From 2021 - 2026
3.23
P-Index
This Author published in this journals
All Journal Jurnal Sistem Informasi Kaputama (JSIK) JTIK (Jurnal Teknik Informatika Kaputama) JPM: JURNAL PENGABDIAN MASYARAKAT J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Pada Masyarakat METHABDI Majalah Ilmiah METHODA Jurnal ICT : Information and Communication Technologies Jurnal Rekayasa Sistem Informasi dan Teknologi Bharasumba Jurnal Multidispliner Jurnal Pengabdian Masyarakat Berkarya JIMR : Journal Of International Multidisciplinary Research INCIDENTAL : JOURNAL OF COMMUNITY SERVICE AND EMPOWERMENT Journal of Community Research & Engagement (JCRE)
Syahputri, Nita
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
PELATIHAN PEMBUATAN KUESIONER DAN SOAL MENGGUNAKAN GOOGLE FORM PADA SMA ISLAM TERPADU UNGGUL AL MUNADI Fahrozi, Wirhan; Indriani, Ulfah; Syahputri, Nita; Gunawan Hts, Dedek Indra
Jurnal Pengabdian Masyarakat Berkarya Vol. 2 No. 05 (2023): Jurnal Pengabdian Masyarakat Berkarya
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/berkarya.v2i05.822

Abstract

Tujuan kegiatan pengabdian pada masyarakat adalah sebagai implementasi pelaksanaan Tri Dharma Perguruan Tinggi serta memberikan pembelajaran cara membuat kuesioner dan soal dengan menggunakan Google Form pada SMA Islam Terpadu Unggul Al Munadi. Kuesioner dan soal adalah salah dua dari beberapa hal yang dapat dibuat menggunakan Google Form. Kuesioner umumnya dipakai untuk mengambil sampel data mengenai banyak hal, seperti tingkat kepuasan, tingkat disiplin, tingkat kenyamanan, dan lain sebagainya. Sedangkan soal dapat dipakai untuk ujian maupun kuis, baik untuk kebutuhan formal maupun informal. Melalui pelatihan kepada para siswa SMA Islam Terpadu Unggul Al Munadi, diharapkan mereka dapat memanfaatkan Google Form untuk membuat kuesioner dan soal untuk berbagai kebutuhan.
Implementation of Augmented Reality in Foreign Languages (English - Arabic) Using the Marker-Based Tracking Method Banjarnahor, Joel Dakosta; Syahputri, Nita
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.281

Abstract

Mastery of foreign languages, particularly English and Arabic, remains a challenge for Indonesian students due to limited exposure, low motivation, and the inadequacy of conventional learning media. This study aims to enhance students’ interest and learning outcomes in English and Arabic through the development and implementation of a Marker-Based Augmented Reality (AR) learning application. The research employs a design and development methodology, integrating AR with marker tracking using Vuforia and Unity, and evaluates the application across key functional scenes, including vocabulary recognition, interactive 3D object projection, quizzes, and learning materials. The results indicate that the AR application significantly improves engagement, motivation, and comprehension, allowing students to experience contextualized learning in an interactive and flexible environment. Marker-Based Tracking ensures accurate real-time projection of virtual objects onto physical markers, supporting multi-modal language acquisition, including vocabulary, pronunciation, and contextual understanding. Furthermore, the application demonstrates practical usability, scalability, and adaptability for self-directed and blended learning, highlighting its potential as a complementary educational tool. These findings suggest that AR can serve as an effective innovation to address low interest and achievement in foreign language learning, providing a model for immersive and interactive pedagogical practices. However, limitations such as device dependency and short-term evaluation underscore the need for further research to examine long-term learning outcomes, wider population applicability, and integration with markerless AR technologies. Overall, the study contributes to the emerging field of AR-mediated language learning by offering both theoretical insights and practical guidance for educators and developers.
Pelatihan Mengenal dan Mengoptimalkan Prompt GPT untuk Pembelajaran Digital di SMK PAB 8 Sampali Alfina, Ommi; Syahputri, Nita; Lahilote, Abqoriy Hisan; Rustam, Muhammad Taufiq; Safii, M.
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 5 No 1 (2025): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

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

Abstract

The training program titled "Introduction and Optimization of GPT Prompts for Digital Learning at SMK PAB 8 Sampali" was conducted as an effort to enhance digital literacy and technological skills among teachers and students. In the era of Education 4.0, artificial intelligence (AI) technology, particularly Generative Pre-trained Transformer (GPT), holds great potential to support teaching and learning processes, including generating exam questions, summarizing materials, and planning lessons. This training aimed to provide basic understanding of GPT concepts and practical skills in crafting effective prompts for various educational purposes. The implementation method employed hands-on practice and real-life case studies within the SMK environment. The results showed an improvement in teachers' and students' abilities to utilize AI technologies, as well as increased awareness of the importance of ethical and creative use of technology in digital education. Through this training, SMK PAB 8 Sampali is expected to become a pioneer in the application of AI in vocational secondary schools in Medan.
Design and Construction of Employee Attendance Using a Facial Recognition System at PT. Astra Daihatsu Krakatau Syahputra, Ihsan; Syahputri, Nita
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.268

Abstract

The rapid advancement of information technology has transformed organizational operations, including human resource management systems, where accuracy and efficiency in employee attendance recording are crucial for maintaining discipline and supporting performance evaluation. However, traditional attendance systems such as manual recording or fingerprint scanning remain limited, especially for employees who are working remotely or traveling, leading to data inconsistencies and delays. This research aims to design and implement a machine learning–based facial recognition attendance system to improve the flexibility, accuracy, and reliability of attendance processes at PT Astra Daihatsu Krakatau. The study employs the Unified Modeling Language (UML) approach for system design and utilizes facial recognition algorithms to automate attendance verification through biometric analysis. The resulting system comprises several key modules—login, main menu, employee data, attendance statistics, and history tracking—providing real-time and integrated attendance monitoring accessible from various devices. The findings indicate that the system effectively addresses the inefficiencies of conventional methods by enabling accurate biometric verification, minimizing fraud, and supporting remote attendance logging. This innovation enhances organizational transparency, operational efficiency, and adaptability in line with digital transformation initiatives. The implication of this study highlights the strategic role of artificial intelligence in modernizing workforce management and optimizing administrative processes within industrial environments.
Co-Authors Alfina, Ommi Andriani, Nova Ardi, Zahra Astuti, Ermayanti Banjarnahor, Joel Dakosta Br Simanjuntak, Anggi Canita Fevi Rahmawati Suwanto fithry tahel, fithry Ginting, Erwin HARDIANTO - Hts, Dedek Indra Gunawan Ikorasaki, Frans Indriani , Ulfah Indriani, Ulfah Khairul Ummi, Khairul Lahilote, Abqoriy Hisan Mochammad Imron Awalludin Muhammad Faris, Muhammad Nababan, Labuan Niami, Tamama Alvin Nurhayati Nurhayati Rahmi Ramadhani Robiatul Adawiyah RUSTAM, MUHAMMAD TAUFIQ Safii, M. Saragih, Nidia Enjelita Sinambela, Lamtiur SIREGAR, ELIDA TUTI Sya'dian, Triadi Syahputra, Andrian Syahputra, Ihsan Tambunan, Frinto Ultami, Eliza Yulistya Wirhan Fahrozi, Wirhan