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Journal on Pustaka Cendekia Informatika
Published by PT Pustaka Cendekia Group
ISSN : 29871883     EISSN : 29871891     DOI : https://doi.org/10.70292/pctif.v2i3
Core Subject : Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Journal on Pustaka Cendekia Informatika (PCIF) is published by the PT PUSTAKA CENDEKIA GROUP (NOMOR : AHU-012686.AH.01.30.Tahun 2023) in helping academics, researchers, and practitioners to disseminate their research results. PCIF is a double blind peer-reviewed journal dedicated to publishing quality research results in the fields of Informatics Engineering. All publications in the PCIF Journal are open access which allows articles to be available online for free without any subscription. PCIF is a national journal with P-ISSN: 2987-1883 e-ISSN: 2987-1891. Journal of Pustaka Cendekia Informatika (PCIF) publishes articles periodically three times a year May, September, January. PCTIF uses Turnitin plagiarism checks, Mendeley for reference management and supported by Crossref (DOI) for identification of scientific paper.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 56 Documents
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Dampak Penggunaan Faceswap Bagi Pengguna Media Sosial M.Thoif Setiawan; R. Joko Musridho; Desri Insani; Selvi Widya Rahmi
Journal on Pustaka Cendekia Informatika Vol. 2 No. 2 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 2 June - September 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i2.62

Abstract

FaceSwap technology, which allows digital face swapping in photos and videos, has become a rapidly growing global phenomenon on various social media platforms. The use of FaceSwap not only provides opportunities for creativity and visual entertainment, but also raises serious concerns about privacy, digital ethics, and psychological impacts on its users. This article aims to explore social media users' perceptions of FaceSwap technology, especially from a social and psychological perspective. The methodology used is quantitative descriptive research through the distribution of questionnaires to 100 respondents who are active social media users in Indonesia. The results showed that 66% of respondents used FaceSwap for entertainment purposes, but 1% expressed discomfort when their faces were used without permission. In addition, 44% had received misleading FaceSwap content. This article recommends the need to strengthen digital literacy and the formation of clear policies and regulations to protect users' privacy rights and digital identities in the era of AI-based technology.
Penerapan Artificial Intelligence dalam Sistem Penilaian Otomatis di Bidang Pendidikan dengan Studi Kasus di SMKN 1 Bangkinang Agus Salim; R. Joko Musridho; Sri Wiji Astuti; Marsa Aulia Hasanah; Putri Cindy Claudia
Journal on Pustaka Cendekia Informatika Vol. 2 No. 2 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 2 June - September 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i2.66

Abstract

This study aims to explore the application of Artificial Intelligence (AI) in automated assessment systems in the education sector, with a case study conducted at SMKN 1 Bangkinang. The research is grounded in the growing demand for efficiency and objectivity in evaluating students' learning outcomes, particularly for essays and open-ended responses. Using a quantitative descriptive method and distributing questionnaires to both students and teachers, the findings reveal that most students already utilize AI tools to support their learning, especially in searching for materials and answers. Teachers responded positively to the integration of AI in assessments but emphasized the need for human validation and attention to plagiarism issues. The analysis shows that AI-based evaluation systems, especially those employing Natural Language Processing (NLP), can provide fast and consistent feedback. However, the implementation of such technologies requires proper support and ethical awareness. A hybrid model combining AI capabilities with teacher evaluation is recommended.
Strategi Memberikan Prompt Yang Efektif pada Chatgpt untuk Hasil Optimal Sri Utami; R. Joko Musridho; Dina Meysi Chandra; Sarwo Dinata
Journal on Pustaka Cendekia Informatika Vol. 2 No. 2 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 2 June - September 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i2.70

Abstract

The use of artificial intelligence such as ChatGPT is increasingly popular across various fields, including education, research, and creative industries. However, not all users obtain responses that align with their expectations. This article aims to examine strategies for providing effective prompts to ChatGPT to ensure that the generated output meets user needs. The method used in this study is a literature review, referring to various recent sources on prompt engineering techniques and best practices for interacting with generative language models. The results of this study indicate that word choice, sentence structure, and clear context in a prompt significantly affect the quality of responses produced by ChatGPT. This article also provides several examples of effective prompts as a guide for users to interact optimally with generative AI models.
Penerapan Kecerdasan Buatan dalam Deteksi Wajah untuk Keamanan Digital melalui Face ID Smartphone Arsi Dewi Saputri; R. Joko Musridho; Hayuda Putra Pratama; Putra Ramadan; Windi Dwi Rikasari
Journal on Pustaka Cendekia Informatika Vol. 2 No. 2 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 2 June - September 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i2.74

Abstract

This paper studies the use of artificial intelligence (AI) in face detection systems to enhance digital security, especially by studying how Face ID is used on smartphones. The background of the study is the increasing need for strong and secure authentication systems as a result of the increasing use of smartphones in society. Observation, questionnaires, literature research, and quantitative data analysis are some of the techniques used. This research collected data from smartphone users to determine the level of understanding, convenience, and perceived security of AI-based Face ID. The results show that, thanks to the ability to recognize facial features automatically and in real-time, Face ID increases user convenience and security. Despite its proven success, the technology still faces issues such as the possibility of spoofing and algorithm bias towards certain genders and skin colors. High device resource usage is also important. However, most respondents felt safe and helpful with the Face ID feature. The study concludes that AI-based Face ID has great potential as a future digital security system, with an important note to continuously improve the accuracy, fairness, and protection of biometric data.
Penerapan Aljabar Linear dan Matriks dalam Pengembangan Game Digital Ahmad Handika Akbar
Journal on Pustaka Cendekia Informatika Vol. 2 No. 3 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 3 October 2024 - Januar
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i3.80

Abstract

The rapid development of the digital game industry demands a strong integration between computer science and mathematics, particularly in the field of linear algebra. Linear and matrix algebra are the backbone of computer graphics systems, animation, physics simulations, and even artificial intelligence (AI) in games. This paper discusses the basic principles of linear algebra and their application in game development, such as object transformations, camera setup, and motion simulation. This study aims to provide conceptual and practical understanding for game developers and encourage the use of mathematical approaches in the design and development process.
Sistem Informasi Penjualan Baju Berbasis Web Menggunakan Metode Agile PadaToko Cakayu.id Yusuf Rio Pambudi; Harjunadi Wicaksono
Journal on Pustaka Cendekia Informatika Vol. 2 No. 2 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 2 June - September 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i2.87

Abstract

This study aims to design and implement a web-based sales information system to improve operational efficiency and transaction data accuracy. The approach used is the Agile software development method with the stages of plan, design, develop, test, release, and feedback. Data were obtained through observation, interviews, and literature review. The results show that the developed system is able to automate the ordering process, transaction recording, and present product information in real time, thereby minimizing transaction errors while facilitating customer interaction with the store. In addition, this system allows for structured sales data recording that can be used for analysis and business decision-making. Thus, the application of Agile methods in the development of a web-based sales information system has proven effective in addressing Toko Cakayu.id's operational problems and has a positive impact on improving service quality and business competitiveness. An abstract is a brief summary of the paper to help readers quickly identify the main research problem, the solution to the problem encountered, the research objectives, and the preliminary results, which can be presented in numbers or percentages, depending on the research needs. The abstract should be clear and informative, stating the research problem and its solution. The abstract should be between 90 and 230 words long

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