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SAGA: Journal of Technology and Information Systems
Published by CV. Media Digital Publikasi Indonesia
ISSN : -     EISSN : 29858933     DOI : https://doi.org/10.58905/saga
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science
SAGA: Journal of Technology and Information Systems, a premier peer-reviewed academic international journal dedicated to the advancement of knowledge and research in the field of technology and information systems. Our journal is committed to publishing high-quality, original research that explores the intersection of technology and information systems in the contemporary world. We publish four issues (February, May, August, November) per year and welcome submissions from researchers at all career levels and from any geographic location. Our scope is divided into two sections, each containing twenty areas of focus Technology and Information Systems We are committed to promoting diversity and inclusivity in our editorial process and encourage submissions from underrepresented groups. Our rigorous peer review process ensures that only the most impactful and rigorous research is published in our journal.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 1 No. 4 (2023): November 2023" : 5 Documents clear
Assessing Digital Competence in Higher Education: A Gender Analysis of DigComp 2.1 Framework in Uganda Abubakari, Mussa S; Zakaria, Gamal Abdul Nasir; Musa, Juraidah; Kalinaki, Kassim
SAGA: Journal of Technology and Information System Vol. 1 No. 4 (2023): November 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i4.210

Abstract

This research paper investigated the digital competence of students in higher education in Uganda, utilising the Dig-Comp 2.1 framework as the basis for assessment. The study explores potential gender disparities in digital competence levels among students, aiming to identify areas of improvement for educational institutions and policymakers. The research utilised a quantitative approach, incorporating online surveys to collect data (N = 99) from a diverse sample of university students. Descriptive and t-test analyses were performed to analyse the significant differences in digital competencies between genders and found slight but statistically insignificant differences. The study’s findings contribute to the growing body of research on gender and digital competency and underscore the need for ongoing efforts to create inclusive and equitable digital education environments. In today's increasingly digital world, possessing adequate digital competence is crucial for personal, academic, and professional success. Higher education institutions are pivotal in equipping students with the necessary digital skills to thrive in the digital age. To enhance digital competence among all students, educators, policymakers, and institutions must focus on gender-sensitive strategies and tailor digital literacy programs to meet the diverse needs of their student population
Evaluating Text Quality of GPT Engine Davinci-003 and GPT Engine Davinci Generation Using BLEU Score Heryanto, Yayan; Triayudi, Agung
SAGA: Journal of Technology and Information System Vol. 1 No. 4 (2023): November 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i4.213

Abstract

The improvement of text generation based on language models has witnessed significant progress in the field of natural language processing with the use of Transformer-based language models, such as GPT (Generative Pre-trained Transformer). In this study, we conduct an evaluation of text quality using the BLEU (Bilingual Evaluation Understudy) score for two prominent GPT engines: Davinci-003 and Davinci. We generated questions and answers related to Python from internet sources as input data. The BLEU score comparison revealed that Davinci-003 achieved a higher score of 0.035, while Davinci attained a score of 0.021. Additionally, for the response times, with Davinci demonstrating an average response time of 4.20 seconds, while Davinci-003 exhibited a slightly longer average response time of 6.59 seconds. The decision of whether to use Davinci-003 or Davinci for chatbot development should be made based on the specific project requirements. If prioritizing text quality is paramount, Davinci-003 emerges as the superior choice due to its higher BLEU score. However, if faster response times are of greater importance, Davinci may be the more suitable option. Ultimately, the selection should align with the unique needs and objectives of the chatbot development project.
Selection of the Best Electronic Goods Supplier Using the MFEP Method Ginting, Suranta Bill Patric; Manullang, Jontinus; Harmoko Lubis; Manik, Aditiarno
SAGA: Journal of Technology and Information System Vol. 1 No. 4 (2023): November 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i4.228

Abstract

The selection of the best supplier to fulfil the needs of the store in the continuous sale of electronic goods requires a selectivity process using many factors, namely product quality, product price, service, and product delivery speed. However, the number of alternatives to be selected can make it difficult for decision makers to determine the best choice in the selection process. Therefore, a decision support system is needed to support decision making so that the selection of the best electronic goods supplier can be done easily and quickly. The decision-making method used to make accurate decision results on the decision support system for selecting the best supplier of electronic goods in this study is MFEP. The sample data used in this study consists of 6 (six) alternatives and 4 (four) criteria as a factor in determining alternative ranking results. In the final results of this study, it was concluded that the A4 alternative had the highest value (0.3758) compared to 5 (five) other alternatives, namely A6 (0.3544), A1 (0.3484), A3 (0.325), A2 (0.3136), and A5 (0.2828). So that alternative A4 is the most recommended alternative for decision makers to choose as a supplier of electronic goods.
Chemical And Organoleptic Quality Of Suction Pudding With Variations In The Type And Concentration Of Carrot Extract (Daucus carota L.) L Listiana; Kurnia Hartati, Fadjar; Bambang Sigit
SAGA: Journal of Technology and Information System Vol. 1 No. 4 (2023): November 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i4.234

Abstract

Carrots are one type of vegetable that is rich in vitamin A. In order to increase carrot consumption, it is necessary to diversify carrot-based preparations, among others, by adding carrots to the pudding suction. This study aims to determine the effect of the interaction of the type and concentration of wotel extract on the chemical and organoleptic quality of lipo pudding as functional food. The research method used is experimental laboratory with Complete Random Design (RAL) research design which is arranged factorially with 2 (two) factors. The first factor is the type of carrot extract, namely boiled carrot extract and fresh carrot extract. The second factor is the difference in carrot extract concentration, which is 7%, 10% and 13% carrot extract. Each treatment factor was repeated 3 (three) times resulting in 18 trials. Observational variables include β-carotene tests, crude fiber tests, reduction sugar tests, and organoleptic tests. Based on the results of the study showed that the interaction between different types and carrot extracts had no real effect on β-carotene levels, crude fiber levels, sugar reduction levels. The best treatment in this study was the F2B treatment, namely suction pudding with the addition of fresh carrot extract with a concentration of 10% with the highest Yield Value (NH) of 0.87. The criteria for the parameters of the study were β-carotene content = 983.0 ppm, crude fiber content = 2.1%, reduced sugar content = 14.37%, color = 5.05 (somewhat like), taste = 5.07 (somewhat like), aroma = 4.67 (somewhat like), and chewiness = 4.71 (somewhat like).
Application of Preference Selection Index in Recruitment of Search Engine Optimization Specialist Marbun, Nasib; Pozilova, Shahnoza Khaydaraliyevna; Shahadi, Haider Ismael; Ghosh, Ankush
SAGA: Journal of Technology and Information System Vol. 1 No. 4 (2023): November 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i4.241

Abstract

Search Engine Optimization Specialist is one of the important factors that can help digital agencies improve services to all their customers. This research aims to develop a decision-making system in the recruitment process of Search Engine Optimization Specialists by applying the Preference Selection Index method. The Search Engine Optimization Specialist recruitment decision-making system in this study uses 5 (five) criteria, namely educational background, ability to use SEO tools, work experience as a Search Engine Optimization Specialist, digital marketing skills, and age. The research sample data collection technique related to the recruitment of Search Engine Optimization Specialists used in this research is Literature Study. After the author succeeds in collecting research sample data, at the next stage the author analyzes the application of the Preference Selection Index method in the recruitment of Search Engine Optimization Specialists. The results of this study show that alternative A02 (0.855641604) has the highest value and gets the first ranking position. Meanwhile, the alternatives that get the second to fifth ranking positions are A05 (0,834620739), A03 (0,741086734), A04 (0,716537597), and A01 (0,708920064). So that the most recommended alternative based on the calculation of the Preference Selection Index on the recruitment of Search Engine Optimization Specialists in this study is alternative A02 (0,855641604).

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