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Artificial Intelligence Application Usage Training: ChatGPT, Gamma, and Bing Image Creator In SMK Taman Siswa Bogor Students Primasari, Dewi; Kamilah, Nurul; Hermawan, Erwin; Riana, Freza; Laxmi, Gibtha Fitri; Yanuarsyah, Iksal; Hadjimartsu, Sahid Agustian; Eosina, Puspa
Jurnal Pengabdian Masyarakat Inovatif Vol. 3 No. 1 (2025): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v3i1.157

The development of artificial intelligence technology has opened up new opportunities in the world of education, especially for vocational high school students who need digital skills to compete in the era of the industrial revolution 4.0. However, the implementation of this technology still faces challenges such as low digital literacy and limited infrastructure. This study aims to provide training on artificial intelligence applications (ChatGPT, Gamma, and Bing Image Creator) in improving the digital competence of SMK Taman Siswa Bogor students. The training method uses a participatory approach with three main stages: preparation (needs analysis, material preparation), implementation (theoretical training, direct practice, and case studies), and evaluation (pre-test, post-test, and interview). Participants consisted of 18 students and 2 teachers. Data analysis was carried out quantitatively (statistical tests). The results showed a significant increase in understanding the concept of artificial intelligence (from 32.4% to 78.6%) and mastery of applications (82% for ChatGPT, 79% Gamma, 71% Bing Image Creator). In addition to technical aspects, 88% of participants reported increased motivation to learn and 41% showed interest in technology-based careers. Key challenges included limited infrastructure (23% network issues) and varying participant abilities, which were successfully addressed through differentiated learning approaches and the use of personal devices.

Artificial Intelligence Application Usage Training: ChatGPT, Gamma, and Bing Image Creator In SMK Taman Siswa Bogor Students Primasari, Dewi; Kamilah, Nurul; Hermawan, Erwin; Riana, Freza; Laxmi, Gibtha Fitri; Yanuarsyah, Iksal; Hadjimartsu, Sahid Agustian; Eosina, Puspa
Jurnal Pengabdian Masyarakat Inovatif Vol. 3 No. 1 (2025): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jpmi.v3i1.157

The development of artificial intelligence technology has opened up new opportunities in the world of education, especially for vocational high school students who need digital skills to compete in the era of the industrial revolution 4.0. However, the implementation of this technology still faces challenges such as low digital literacy and limited infrastructure. This study aims to provide training on artificial intelligence applications (ChatGPT, Gamma, and Bing Image Creator) in improving the digital competence of SMK Taman Siswa Bogor students. The training method uses a participatory approach with three main stages: preparation (needs analysis, material preparation), implementation (theoretical training, direct practice, and case studies), and evaluation (pre-test, post-test, and interview). Participants consisted of 18 students and 2 teachers. Data analysis was carried out quantitatively (statistical tests). The results showed a significant increase in understanding the concept of artificial intelligence (from 32.4% to 78.6%) and mastery of applications (82% for ChatGPT, 79% Gamma, 71% Bing Image Creator). In addition to technical aspects, 88% of participants reported increased motivation to learn and 41% showed interest in technology-based careers. Key challenges included limited infrastructure (23% network issues) and varying participant abilities, which were successfully addressed through differentiated learning approaches and the use of personal devices.

Sistem Informasi Persuratan Berbasis Website Studi Kasus di SMAN 1 Dramaga Septian, Ihsan; Jaenudin, Jejen; Eosina, Puspa
Jurnal Etnik: Ekonomi-Teknik Vol 2 No 2 (2023): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/etnik.v2i2.153

Letters are an important means of communication in every institution, including at SMAN 1 Dramaga. Unfortunately, letter management at the school is still done manually. Therefore, a web-based letter management information system was designed to help manage and process letter data efficiently and organized. The letter information system can accelerate the letter management process and avoid damage to letters that are stored for too long. A Letter Information System is required to improve letter management performance with timely letter issuance. The system development method used is the SDLC (System Development Life Cycle) method. Data collection methods include observation, interviews, and heritage studies. With a web-based information system, it can improve and facilitate letter management performance, timely letter issuance, and avoid damage to letters that are stored for too long. The result makes it easy to store letters centrally in a database that can be accessed again.

Sistem Informasi Kontrol Dan Evaluasi Pemasaran Perumahan Pada Developer Properti Avenue Developments Sofwan Agustria Al-Qodri, Ahmad; Br. Ginting, Novita; Eosina, Puspa
Jurnal Etnik: Ekonomi-Teknik Vol 2 No 12 (2023): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/etnik.v2i12.285

Property developer Avenue Developments currently has 3 housing projects and will continue to develop in different locations. This certainly affects the process of controlling and evaluating marketing strategies, which will be increasingly difficult if done manually. Several obstacles were found related to the process of planning, implementing and reporting the results of marketing activities which could be detrimental to the company in terms of time, energy and costs spent on accommodation for the Marketing General Manager in holding meetings with the marketing team on each project. So an information system is needed to be able to process planning data, implementation data and reports on the results of marketing activities which can be accessed in real time by the General Manager, Sales Manager, Supervisor, Sales Admin and Sales. System development uses the Waterfall method, the system description will be described using the Unified Modeling Language (UML) modeling method. Data collection was carried out by directly observing the process of making action plans, implementation and evaluation of the results of marketing activities on each project as well as conducting interviews with related parties to analyze system requirements. The results of the research obtained an information system that can process data on planning, implementation and statistics on the results of marketing activities to facilitate the evaluation process by the Marketing General Manager.

ICT-BASED SIMPLE STAGES FOR UPDATING THE MAP OF VILLAGE’S FACILITIES Goeritno, Arief; Hadi Purwanto, Eko; Eosina, Puspa
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 7 No. 1 (2023): MARET
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v7i1.1591

This article explains about the utilization of information technology for updating the map of village’s facilities. The activity objectives are convey information about the stages of process and obtains a physical form of updated for the map of village’s facilities. A number of stages for the process is covers the preparation of the work team, submission of renewal permits for the map of village’s facilities, and comparison of secondary and primary data. The physical form of an updated the map of village’s facilities is a process of renewing and making a hard copy of the map of village facilities of A1 paper size along with a frame and scheduling and submission of a symbolic the map of village’s facilities to the Head for the Village of Pemagarsari.

Enhanced Performance Evaluation of VGG16 and ResNet50 for Deepfake Detection Using Local Ternary Pattern Rizqullah, Ghifari Ferdian; Eosina, Puspa; Pramuko, Andik Eko Kristus
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15582

Deepfake video generation has become increasingly sophisticated, posing challenges for detection methods that rely solely on convolutional neural networks (CNNs without explicit texture enhancement). Many existing approaches have limited robustness in capturing subtle texture inconsistencies caused by manipulation, compression, and noise. This study investigates the integration of Local Ternary Pattern (LTP)–based texture enhancement with transfer learning models for deepfake video detection. Specifically, VGG16 and ResNet50 architectures are evaluated using the Celeb-DF (v2) dataset. LTP is employed to extract fine-grained texture features due to its higher robustness to illumination variations and noise compared to conventional descriptors such as Local Binary Pattern (LBP). Video frames are processed individually and used to train CNN classifiers, followed by evaluation at both frame and video levels. Experimental results show that ResNet50 outperforms VGG16, achieving a test accuracy of 93% with a validation loss of 0.2228, while VGG16 reaches an accuracy of 88% with a validation loss of 0.2636. Further testing on 20 withheld videos demonstrates that ResNet50 correctly classifies all samples, whereas VGG16 misclassifies two real videos, indicating lower robustness to real-video misclassification. These results demonstrate that LTP-based texture enhancement effectively supports CNN-based deepfake detection and that deeper architectures benefit more from enriched texture representations. This study provides empirical insights into improving robustness and reliability in deepfake video classification.

Website-Based Baiturrahman Mosque Management Information System Case Study Of Baiturrahman Mosque Pandu Raya Riswandha Imawan; Puspa Eosina; Dewi Primasari
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 8 No. 1 (2025)
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/inovatif.v8i1.2651

The Baiturrahman Mosque is a place for Muslims to gather to perform prayers or other Islamic activities based on the Shari'a and adab in it. These activities cannot be separated from the existence of administrators from each mosque, tasked with conveying information about activities at the mosque. the purpose of this research is to design and build a website-based management information system for the Baiturrahman mosque. The waterfall model is a system development model that is systematic and sequential in building software. Building a website-based mosque management information system. From the Baiturrahman mosque information system, there are several menus that local worshipers can use, such as qurban savings, information about mosque activities and finances.

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