cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Zulfah Zulfah
Contact Email
zulfahasni670@gmail.com
Phone
+6282271279237
Journal Mail Official
zulfahasni670@gmail.com
Editorial Address
Jl. Sisingamangaraja, Bangkinang Kota, Kampar, Riau
Location
Kab. kampar,
Riau
INDONESIA
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 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 1 February - May 2024" : 5 Documents clear
Integrasi Large Language Models dalam Evaluasi dan Optimalisasi Arsitektur Perangkat Lunak: Studi Kasus Berbasis ISO/IEC/IEEE 42010 Yosi Briyan Saputro; Moch. Darul Gusti Alief; Muhammad Ainul Yaqin
Journal on Pustaka Cendekia Informatika Vol. 2 No. 1 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 1 February - May 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i1.44

Abstract

Software architecture is essential for developing maintainable and scalable systems. However, issues such as limited documentation and design complexity often hinder effective architectural assessment. The purpose of this study is to study the role of large language models (LLMs) in analyzing software architecture documentation based on the ISO/IEC/IEEE 42010 standard; this study uses literature study methods and automated evaluation experiments on multi-layer systems, where the GPT model serves as an evaluator and Gemini serves as a validator. The results show that LLMs can find architectural conformance to standards, find potential issues, and provide optimization suggestions based on best practices. Despite the fact that manual validation is required to ensure the accuracy of LLM evaluation, the integration of LLMs offers significant opportunities to accelerate the process of data-driven architectural analysis.
Analisis Pengaruh AI ChatGPT Terhadap Minat Baca Mahasiswa Teknik Informatika di Universitas Pahlawan Tuanku Tambusai Riski Aulia Risda; Raja Joko Musridho; Rian Eka Putra; Ahmad Reyhan Wahidi; Yuda Aidil Fitra; Okta Bernaldi
Journal on Pustaka Cendekia Informatika Vol. 2 No. 1 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 1 February - May 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i1.58

Abstract

The development of artificial intelligence (AI) technology, especially ChatGPT, has brought significant changes in students' learning patterns. This study aims to analyze the effect of using ChatGPT on the reading interest of Informatics Engineering students at Pahlawan Tuanku Tambusai University. Using a descriptive qualitative approach, data was collected through observation, interviews, and documentation of active ChatGPT user students. The results of the study show that the majority of students are highly dependent on ChatGPT to complete academic assignments, which has an impact on decreasing interest in reading traditional learning resources such as textbooks and scientific journals. This dependence causes a decrease in students' critical thinking skills, analytical skills, and enthusiasm for independent learning. This phenomenon raises concerns about the quality of long-term learning, especially in fields that require logic and deep conceptual understanding such as Informatics Engineering. Therefore, it is necessary to strengthen digital literacy and direct the wise use of AI so that technology becomes a tool that strengthens, not replaces, the real learning process.
Klasterisasi Data Sosial Ekonomi Menggunakan Algoritma K-Means Tiyo Wahyudi; Miftahul Jannah; Zurnan Alfian
Journal on Pustaka Cendekia Informatika Vol. 2 No. 1 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 1 February - May 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i1.59

Abstract

The advancement of information technology has driven a significant increase in the volume of socio-economic data, encompassing various aspects such as education and essential community needs. This study aims to cluster socio-economic data using the K-Means algorithm, focusing on two types of data: the number of applicants to higher education institutions (public and private universities) and the average prices of basic commodities in Palembang City. The first dataset was obtained from the Indonesian Higher Education Statistics (Depdiknas 2006), covering five categories of institutions: universities, institutes, colleges, academies, and polytechnics. The second dataset was taken from Table 8.2 of the Consumer Price Statistics by BPS for the years 2004–2005, which includes prices of commodities such as beef, broiler chicken, rice, granulated sugar, chicken eggs, and bulk cooking oil. The clustering process was carried out by normalizing the data using the Min-Max Scaling method, followed by the application of the K-Means algorithm with k = 2 clusters for educational data and k = 3 for commodity price data. The results showed that universities fall into the highest applicant cluster, while other institutions are grouped into medium to low clusters. In the commodity dataset, three price clusters were formed: high, medium, and low. These findings are expected to serve as a foundation for policy formulation in the education sector and for price control of essential goods in a more targeted and data-driven manner.
Pemanfaatan Ai dalam Alat Pendeteksi Sampah Organik dan An-Organik: Studi Kasus Universitas Pahlawan Tuanku Tambusai Tasya Wulandari; Tulhusna, Zilla; R. Joko Musridho; Khairunnisa; Rahmi Syafitri; Amanda Lismawati; Cindy Fatika Sari
Journal on Pustaka Cendekia Informatika Vol. 2 No. 1 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 1 February - May 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i1.60

Abstract

Waste management has become an important issue in the modern era along with the increasing volume of waste generated by human activities. This study allows the use of artificial intelligence (AI) in the organic and inorganic waste detection system in the Universitas Pahlawan Tuanku Tambusai environment. The method used is a mixed method, namely a combination of quantitative approaches through questionnaires and qualitative through direct observation. The results of the study showed that 82% of respondents felt that AI increased awareness of waste management, and 91% were willing to change their waste disposal habits with this tool. Although only 23% of respondents have tried the tool, enthusiasm for this technology is quite high. This study involved academics as the main respondents, including students and cleaners, to assess the effectiveness of the tool and its impact on environmental awareness.
Pengaruh Penggunaan Chatgpt Terhadap Efektivitas Pembelajaran Mahasiswa Teknik Informatika di Universitas Pahlawan Tuanku Tambusai Alman Azizi; Raja Joko Musridho; Shah Wiruddin; Era Dwi Mustika
Journal on Pustaka Cendekia Informatika Vol. 2 No. 1 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 1 February - May 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i1.61

Abstract

The development of artificial intelligence technology has encouraged the use of ChatGPT as a learning tool in higher education, especially in the field of Informatics Engineering. This study aims to analyze the effect of using ChatGPT on the effectiveness of student learning in the Informatics Engineering Study Program at Pahlawan Tuanku Tambusai University. The method used is a quantitative approach with a survey through a questionnaire, which was distributed to 31 selected students through purposive sampling technique. Data were analyzed using descriptive statistics and independent t-test with the help of Excel software. The results showed that the use of ChatGPT made a positive contribution to learning, especially in improving time efficiency, material understanding, and the quality of academic assignments. However, learning independence is still in the low category (62.80%), indicating a potential dependence on technology. Therefore, the use of ChatGPT needs to be balanced with pedagogical strategies that emphasize conceptual understanding and the active role of lecturers. This finding is expected to be the basis for the development

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 3 No. 1 (2025): Journal on Pustaka Cendekia Informatika: Volume 3 Nomor 1 February - May 2025 Vol. 2 No. 3 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 3 October 2024 - Januar Vol. 2 No. 2 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 2 June - September 2024 Vol. 2 No. 1 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 1 February - May 2024 Vol. 1 No. 3 (2024): Journal on Pustaka Cendekia Informatika: Volume 1 Nomor 3 Oktober 2023 - Januar Vol. 1 No. 1 (2023): Journal on Pustaka Cendekia Informatika: Volume 1 Nomor 1 February-May Tahun 20 Vol. 1 No. 2 (2023): Journal on Pustaka Cendekia Informatika: Volume 1 Nomor 2 June-September Tahun