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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 40 Documents
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Decision Support System for Determining the Best PAUD Teacher Using the MOORA Method Ade Yusupa; Jontinus Manullang; Nasib Marbun; Suranta Bill Fatric Ginting
SAGA: Journal of Technology and Information System Vol. 1 No. 2 (2023): May 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1017.106 KB) | DOI: 10.58905/saga.v1i2.101

Abstract

Giving rewards is one of the efforts made to increase the motivation of PAUD Teacher to build better performance in educating early childhood. In this study we used a decision support system using the MOORA method to determine the best PAUD Teacher who is entitled to rewards without any jealousy from other unselected candidates. On the results of this study, the alternative Alexander Putra was chosen as the best PAUD teacher with a score of 0.4547 which is the highest score compared to other participants.
Chemical and Organoleptic Quality of Free-Gluten Dry Noodles from Sorghum (Sorghum bicolor) and Modified Cassava Flour with Different Drying Temperature Ayyu Nisa’ Rizky N.F.; Fadjar Kurnia Hartati; Nunuk Hariyani
SAGA: Journal of Technology and Information System Vol. 1 No. 3 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i3.69

Abstract

Dry noodles are widely commercialized thanks to their durability and practicality for consumption as side dishes or staples to replace rice. The development of dry noodles is robustly conducted, mainly by substituting its main ingredient of wheat flour to local staple flour with similar or better nutritional value and characteristics compared to wheat flour and gluten-free as well. Some alternatives are sorghum (Sorgum bicolor) flour and mocaf (Modified cassava flour). Applying the correct drying temperature to produce dry noodles with good chemical and organoleptic quality. This research utilized a factorially formulated Completely Randomized Design with three levels for each actor. The first factor is the sorghum flour and MOCAF proportions with levels of 40:60, 60:40, and 80:20, and the second factor is the noodle drying temperature with levels of 500C, 600C, and 700C. Each treatment is repeated three times. Chemical quality aspects that would be analyzed are water, ash, fiber, and protein contents. Meanwhile, the organoleptic quality analysis is conducted by the organoleptic test based on the likeness level/organoleptic hedonic test that encompasses color, aroma, texture, and flavor. The P1S1 treatment, in which the flour ratio is 40 g: 60 g with a drying temperature of 500C is the best treatment, obtaining the highest Result Value of 0.699, with the research variable criteria as follows: chewiness 5.6, (like), water content 6.6733%, flavor: 5.3 (rather like), protein content: 9.7033%, coarse fiber: 5.2233%, ash content: 0.2767%, color: 5.4 (rather like), and aroma: 5.4 (rather like)
Combination of ROC and MFEP Methods on the Acceptance of Rainwater Gutter Installer Victor Tarigan; Lintang Patria; Aditiarno Manik; Pujo Hari Saputro
SAGA: Journal of Technology and Information System Vol. 1 No. 3 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i3.105

Abstract

The services of building construction companies in today's modern era are increasingly in demand by the wider community to get the best building results. Installing a rainwater tap in a building is one of the most important parts to pay attention to so that consumers are not disappointed. Therefore, the head of a building construction company that offers services in this field must be careful in the process of accepting rainwater gutter installer. The criteria used to acceptance of rainwater gutter installerin this study consisted of insight, work experience, health, and age criteria. Data collection techniques used in this study were literature studies and field studies. In this study the authors apply the ROC and MFEP methods to obtain the decision making of acceptance of rainwater gutter installer. In the results of this study an alternative named Rudiasyah (0.427111) has the highest value compared to other alternatives. So in this study Rudiasyah became the most recommended alternative to be accepted as a rainwater gutter installer
Implementation of Load Balancing Per Connection Classifier on Mikrotik for Internet Services at Private Vocational Schools Dinar Mustofa; Anggit Wirasto; Arif Muttakin; Deuis Nur Astrida; Dhanar Intan Surya Saputra
SAGA: Journal of Technology and Information System Vol. 1 No. 3 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i3.169

Abstract

The Internet network is important because now it has entered the 4.0 era, where all community activities are primarily carried out with the help of the Internet. Therefore, the internet network can also connect. One example of using the Internet is currently needed in the school environment. Teachers and students must carry out learning transformations that are usually paper-based and are presently changing through the Internet. As is the case with all teachers and students in private vocational schools. From the results of observations that have been made, not all teachers and students get good internet service. Then, when checking on the server side, it turned out that the internet network management was not following the standards in the field, so the three ISPs (internet service providers) were not being utilized optimally. One solution emerges from presenting these problems: combining and dividing the burden evenly among the three ISPs. The process of distributing the ISP load evenly is called load balancing. In this study, the load balancing method used is the Per Connection Classifier (PCC) method, which can work optimally. This study's findings indicate that the inefficiencies in internet service provision within private vocational schools are due to suboptimal internet network management practices, leading to the need for more utilization of the available internet service providers (ISPs), and proposes the implementation of load balancing as a solution
Consumer Segmentation of Emina Cosmetics Optimal and Relevant Approach of RFM+Lifetime Analysis Nabil Rakha Dwitya; Wirawan Istiono
SAGA: Journal of Technology and Information System Vol. 1 No. 3 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i3.171

Abstract

Buyers are the most crucial entities for companies selling products, including PT Paragon Technology and Innovation. PT Paragon Technology and Innovation is a cosmetics company that oversees well-known brands such as Wardah, Emina, MakeOver, and Kahf. It is essential for this company to understand the characteristics of its buyers who purchase their products, and one way to achieve this is by conducting consumer segmentation. This consumer segmentation is carried out on customers who have purchased Emina products from March 2021 to March 2023, using three types of RFM analysis approaches: vanilla RFM analysis, RFM+Lifetime, and RFM/Lifetime, which are then grouped using the K-Means algorithm. Through the implementation of this consumer segmentation, the company can gain a deeper understanding of its buyers' behavior towards the products they offer, thereby enhancing business processes and marketing efforts. The consumer segmentation has been completed with the finding that out of the three types of RFM analysis approaches employed for consumer segmentation, the RFM+Lifetime approach is the most effective and relevant one, resulting in four categories: Make Up, Face Care, Others, and General. The Make Up category further consists of five segments, while each of the other categories contains four segments.
Development of GPS Track and Trace System in Dewantara Smart City Application to Realise Mobile-based Good Governance and Clean Government Ananda Faridhatul Ulva; Kurniawati Kurniawati; Desvina Yulisda
SAGA: Journal of Technology and Information System Vol. 1 No. 3 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i3.179

Abstract

Smart cities with GPS track and trace implementation have great potential to achieve good and clean governance. This technology enables the government to gather and analyse real-time data concerning mobility, public assets, and the allocation of funds. With precise and transparent information, the government can enhance efficiency, accountability, and responsiveness to the needs of the public. The primary goals of this application are to promote transparency, improve the management of community activities, and encourage community engagement. The approach employed in the creation and development of this smart city application follows the waterfall method. This methodology simplifies the system's initial development and its potential for future enhancements. The results from implementing and testing the smart city system, utilizing usability testing, yield scores exceeding 3, specifically 3.56. This indicates that both government officials and the community find the system and application highly user-friendly
Recruitment of TikTok Live Hosts for Selling Clothes Using the MOORA Method Sedihati Kayan Lumbangaol; Nasib Marbun
SAGA: Journal of Technology and Information System Vol. 1 No. 3 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v1i3.180

Abstract

Mistakes in recruiting Hosts for the business of selling clothes on TikTok live streaming can have a negative impact on business owners, because Host failure can cause the products offered not to sell to potential customers. To overcome this problem, a decision support system is needed as a support tool for clothing selling entrepreneurs in recruiting TikTok Live Hosts that are relevant and can contribute to the development of their business. In this study the authors used Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) for the TikTok Live Host recruitment process with 5 (five) alternatives and 5 assessment criteria in subjective decision making. The results of this study indicate that the alternative that gets the first ranking position and is recommended to be accepted as a TikTok Live Host is A5 (Rina) with a value of 0.2752. As for the ranking order of other alternatives, namely A1 (Janses) with a value of 0.2738 at rank 2, A3 (Aisyah) with a value of 0.2582 at rank 3, A4 (Kylen) with a value of 0.2460 at rank 4, and A2 (Delima) with a value of 0.2190 at rank 5.
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.

Page 2 of 4 | Total Record : 40

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