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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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Learner’s View on English Language Teaching by Hybrid System Technology in Supporting Maritime Sector Rikat Eka Prastyawan; Daisy Dwijati K.R; Desi Tri Cahyaningati; Perwi Darmajanti; Ika Erawati
SAGA: Journal of Technology and Information System Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i2.305

Abstract

Human Resource Development becomes the key to change the better condition. One of components which influence its development is by mastering the international language. Indonesia as the archipelago country must be strong on maritime sector followed by potential human resource development. One of the ways which could be done is by improving the communication skill by using English Language. English has been introduced for learners since they are in the kindergarten. They have learned English for more than 12 years after they graduate in level of Senior High School. The research question in this study was how was the learners' view on English Learning to become young generation having good communication skill? This research aimed to know the learner's view by reflecting their prior experiences in English learning that had been done. This study conducted a descriptive quantitative by using survey to get the data. The instrument of the research referred to the skill of communication components reflected to the learners' experiences in English learning process since the long period of time. There were 30 learners delivering their ideas on English learning to answer the research question. The result showed that the learners had the obstacles dominantly in linguistics, social and culture, even psychological factors. It could be concluded that becoming a good communicator by using English, it needs the exploration on the learner's view in order to omit his or her obstacle in learning or acquiring English Language. It's really hoped that this research could give the discourse for English learners and teachers so young generation could have good communication skill by using English to support the maritime sector as the nations in archipelago country.
Monte Carlo Simulation Application for Project Scheduling Improvements in The Shipping Industry Nazaruddin, Nazaruddin; Arini Anestesia Purba; I Putu Deny Arthawan Sugih Prabowo
SAGA: Journal of Technology and Information System Vol. 2 No. 2 (2024): May 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i2.310

Abstract

This research was carried out at PT. X is a shipping yard that produces one of them, namely ship blocks. In the implementation of ship block building projects, there is uncertainty in the project's duration, so it needs to be completed by applying the Monte Carlo simulation method. Monte Carlo Simulation is a method used to model and analyze systems with risks and uncertainties. The basis of the Monte Carlo simulation is to conduct experiments on probabilistic elements through random sampling. This study aims to identify the probability of duration and percentage of possibility of the period in a project so that scheduling using Microsoft Project software is more measurable and optimal. Based on the Monte Carlo simulation results in ball software, the fastest duration for the H402 ship block project was obtained, namely 64 days, with a 0% probability of success. The longest time was 83 days with a chance of 100%, and the average duration for 73 days with a possibility of 65%, while the plan duration was 80 days with a probability of 94.7%. Then for the H501A block work, the fastest time produced is 74 days with a chance of 0%, the longest most extended is 82 days with a probability of 100%, and the average duration for 79 days with a possibility of 60-70% while the time of the plan is for 75 days with a probability of 9.8%.
Determining the Best Web Designer Using the SMARTER Method (Case Study: Website Development Service Provider) Patria, Lintang; Sitompul, Bernad J. D.; Marbun, Nasib
SAGA: Journal of Technology and Information System Vol. 2 No. 3 (2024): August 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i3.286

Abstract

This research aims to solve the problem of determining the best Web Designer objectively for website development service business activists. In this research, the author offers SMARTER as a decision support system method to produce a ranking of the best Web Designer alternatives to be selected by decision makers. The alternatives selected as the best Web Designer in this study consist of 5 candidates (AX1, AX2, AX3, AX4, and AX5). The criteria used in the process of determining the best Web Designer in this study are communication, ability to design websites, discipline, and loyalty. The results of the application of the SMARTER method in this study recommend alternative AX3 to the decision maker to be selected as the best web designer who is entitled to a reward
Sentiment Analysis on Erspo Jersey in X Using Machine Learning Algorithms Andi Asrida Reskinah. D; Najib, Marhawati; Muhammad Ashdaq
SAGA: Journal of Technology and Information System Vol. 2 No. 3 (2024): August 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i3.334

Abstract

This research conducts a sentiment analysis on Erspo jerseys using machine learning algorithms on the X platform. The objective is to identify the public's sentiment and compare the performance of three algorithms: Naïve Bayes, K-Nearest Neighbor (KNN), and Support Vector Machine (SVM). Data was collected through web scraping of tweets between January and September 2024, containing keywords related to Erspo. Using a lexicon-based approach, the preprocessing steps involved cleaning, tokenizing, normalizing, and labeling data into positive, negative, and neutral sentiments. Results show that the Naïve Bayes algorithm provided the highest accuracy in sentiment classification, followed by SVM and KNN. Positive sentiment primarily centered on product loyalty, while negative sentiment largely criticized jersey design and quality. The findings offer important insights for Erspo stakeholders to refine marketing strategies and product improvements. This study highlights the potential of machine learning in analyzing consumer opinions at scale, making it a valuable tool for real-time consumer feedback analysis.
Implementation of Fundamental Analytical Dashboard and Stock Price Forecasting of ADRO, ANTM, INCO with Arima Approach Najib, Marhawati; Nur Aulia Cahyani; Syamsu Alam
SAGA: Journal of Technology and Information System Vol. 2 No. 3 (2024): August 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i3.335

Abstract

This study aims to compare the financial performance of ADRO, ANTM, and INCO and project the stock prices using fundamental analysis and the ARIMA approach. The background of this study is based on the phenomenon of herding behavior and overconfidence of investors who often ignore fundamental analysis in making investment decisions. This study adopts a quantitative method using financial ratio data and historical stock prices and a qualitative method through visualization in the form of an analytical dashboard. The results of the study show that ADRO has an advantage in terms of profitability, INCO stands out in liquidity, and ANTM experiences fluctuations in financial performance. The ARIMA model can project the stock prices of the three companies by showing a positive trend for INCO and ANTM, while ADRO tends to be stable. The analytical dashboard developed helps investors understand financial performance and stock price projections, thus supporting more accurate investment decision-making.
Clustering of Generation X and Generation Y Communities in Cybersecurity Using the K-Means Algorithm (Case Study of Depok City, West Java) Wibowo, Adhitya Eka; Agung Triayudi
SAGA: Journal of Technology and Information System Vol. 2 No. 3 (2024): August 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i3.357

Abstract

This research aims to explore the differences in understanding and awareness of cybersecurity between Generation X and Generation Y in Depok City, West Java. The K-Means algorithm is used to group communities based on characteristics relevant to cybersecurity. The results of the study show that there are significant differences in understanding and behavior related to cybersecurity between the two generations. Generation X tends to be more cautious in using technology and has a better knowledge of cybersecurity risks, while Generation Y is more proficient in using digital devices and applications but pays less attention to security aspects. Factors that affect the level of cybersecurity awareness in both generation groups include knowledge of cyber threats, education, and demographic factors. The findings of this research can help stakeholders in increasing awareness and knowledge about cybersecurity and developing better solutions to protect users from cyber threats
Comparative Analysis of Performance of the Encryption and Decryption Times of Cryptography Made Yoga Mahardika; Agung Triayudi
SAGA: Journal of Technology and Information System Vol. 2 No. 3 (2024): August 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i3.359

Abstract

 Cryptography is the study of mathematical techniques to maintain information security, including the encryption process to protect data and decryption to return it to a readable form. The Rivest Shamir Adleman (RSA) algorithm and Elliptic Curve Cryptography (ECC) are two asymmetric key algorithms that are often used. RSA relies on large number factorization for security, while ECC uses elliptic curves that require more complex computation but are more efficient in resource usage. This study aims to compare the performance of the two algorithms in terms of encryption and decryption time, and analyze efficiency based on various key sizes and data amounts. The research method includes measuring encryption and decryption time with different data inputs using RSA and ECC at various key sizes. Experiments were conducted with data inputs of 128-bit to 512-bit and testing was conducted to measure the speed of each algorithm in the same situation. The results showed that RSA was faster in the encryption process than decryption, while ECC had a faster decryption time than encryption. However, the overall processing time for ECC is longer than RSA, especially when the key size is increased. These results provide insight into the advantages and disadvantages of each algorithm, which can be used as a basis for consideration in selecting algorithms for security applications that require high efficiency.
Jakarta Air Quality Classification Based On Air Pollutant Standard Index Using C4.5 And Naïve Bayes Algorithms Ramadhan, Duta Pramudya; Triayudi, Agung
SAGA: Journal of Technology and Information System Vol. 2 No. 4 (2024): November 2024 (IN PRESS)
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i4.395

Abstract

Increasing air pollution in DKI Jakarta has become an increasingly pressing environmental issue, which has a direct impact on public health and environmental sustainability. Therefore, it is very important to have a system that manages data-based air pollution levels. The purpose of this research is to classify air quality in DKI Jakarta through Air Pollutant Standard Index (ISPU) data. This data consists of parameters such as dust particles (PM10, PM2.5), sulfur dioxide (SO2), carbon monoxide (CO), surface ozone (O3), and nitrogen dioxide (NO2), as well as two classification algorithms used, namely C4.5 and Naïve Bayes. This research also seeks to compare the effectiveness of the two algorithms based on ISPU data collected in 15 Jakarta areas. The approach used in this research is to divide the data using three ratio scenarios, namely 70% : 30%, 80% : 20%, and 90%: 10%. In addition, performance assessment is carried out using accuracy, precision, recall and f1 score metrics. The experimental results showed better performance of C4.5, with an average accuracy of 95%, precision of 99%, recall of 94% and f1-score of 97%. In contrast, Naïve Bayes recorded an average accuracy of 81%, precision of 93%, recall of 73% and f1-score of 82%. These findings corroborate the validity of the C4. 5 algorithm is more effective in air quality classification based on ISPU, thus making it a reliable resource for air quality monitoring and management in DKI Jakarta, as well as supporting decision-making in air pollution control policies.
Analysis of Interrelationships between Weather Parameters in North Jakarta and Central Jakarta Based on Predictions Using LSTM and GRU Kurniawan, Faizal; Triayudi, Agung
SAGA: Journal of Technology and Information System Vol. 2 No. 4 (2024): November 2024 (IN PRESS)
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i4.398

Abstract

This study analyzes the interrelationships between weather parameters, including average temperature (Tavg), relative humidity (RH_avg), rainfall (RR), and average wind speed (ff_avg) in North Jakarta and Central Jakarta, and compares the performance of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models in predicting these parameters. Data was collected from Tanjung Priok Maritime Meteorological Station in North Jakarta and Kemayoran Meteorological Station in Central Jakarta from December 2021 to December 2024. The results show that GRU performs better in North Jakarta, with RMSE of 9,02, MSE of 81,28, and MAE of 4,21 at 75 epochs, while LSTM yields RMSE of 10,02, MSE of 100,34, and MAE of 4,62 at 50 epochs. Conversely, LSTM outperforms GRU in Central Jakarta, with RMSE of 8,96, MSE of 80,22, and MAE of 4,65 at 100 epochs, while GRU produces RMSE of 9,53, MSE of 90,78, and MAE of 4,85 at 75 epochs. GRU is more effective in capturing extreme fluctuations, while LSTM excels in predicting interrelationships between parameters. This study provides insights into selecting the appropriate weather prediction model based on the priority of prediction accuracy or the ability to capture extreme fluctuations
Bridging TAM and e-Puskesmas: Measuring Perceived Ease of Use in Digital Health Elia Hamda Humairo; Ciptaningtyas, Ratri; Riastuti Kusumawardani; Fajar Ariyanti; Catur Rosidati
SAGA: Journal of Technology and Information System Vol. 2 No. 4 (2024): November 2024 (IN PRESS)
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i4.415

Abstract

e-Puskesmas is an information system based on data and communication innovation in giving wellbeing administrations which is essential for the benefit of both patients and health care providers. However, the use of e-Puskesmas is still a challenge because some Puskesmas officers have difficulty in using e-Puskesmas. E-Puskesmas was introduced in 2016 and began to be used in Bekasi City Puskesmas in 2019. This study aimed to determine the intensity of e-Puskesmas use as reviewed from sociodemographic and user perception perspectives using the Technology Acceptance Model (TAM) concept. This study was a quantitative research with a cross-sectional design. The sampling method used was multistage random sampling, with a sample consisting of 214 health center officers from five health centers. The research instrument used was a Google Forms questionnaire. The data obtained were statistically tested using the chi-square test. The results showed that sociodemographic factors had a significant relationship with the intensity of e-Puskesmas use. In addition, there was a significant relationship between the perceived usefulness variable (0.018), perceived ease of use (0.014), and intensity of e-Puskesmas use.

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