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Brilliance: Research of Artificial Intelligence
Published by Information Technology and Science
ISSN : -     EISSN : 28079035     DOI : https://doi.org/10.47709
Core Subject : Science, Education,
Decision Sciences, Operations Research & Management Mathematics Other
Brilliance: Research of Artificial Intelligence is The Scientific Journal. Brilliance is published twice in one year, namely in February, May and November. Brilliance aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest information about Artificial Intelligence. Submitted papers will be reviewed by the Journal and Association technical committee. All articles submitted must be original reports, previously published research results, experimental or theoretical, and colleagues will review. Articles sent to the Brilliance may not be published elsewhere. The manuscript must follow the author guidelines provided by Brilliance and must be reviewed and edited. Brilliance is published by Information Technology and Science (ITScience), a Research Institute in Medan, North Sumatra, Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 544 Documents
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Analysis of 2G and 4G Network Quality on Cross Roads in Lembah Gumanti District Yuhanef , Afrizal; Candra, Dikky; Musthaf, Muhammad Isham; setiawan, Herry
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.3319

Abstract

Lembah Gumanti Sub-District is one of the sub-districts in Solok Regency where people are on average separated from each other so that they spread out from one another. This is different from people who live in urban areas where they are close to one another. In addition, this area is dominant with hills and trees causing a performance degredation in 2G and 4G network performance. This study aims to find out how the quality of the 2G and 4G network of Telkomsel operators on the causeway in Lembah Gumanti District where data collection is carried out by means of a drive test using Tems pocket. The results showed that for the 2G network on RxLev it still showed poor results while on RxQual it showed good results. While making a call there were also 2 drop calls from 9 call attempts. Meanwhile for the 4G network the RSRP and SINR parameters showed poor results. Therefore, an increase in network performance is needed to increase people's satisfaction in the area.
Analysis of the Comparison Between Linear Regression, Random Forest, and Logistic Regression Methods in Predicting Crude Palm Oil (CPO) Price Wijaya, Surya; Fauziah
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3334

Abstract

This study compared the predictive capabilities of linear regression, random forest, and logistic regression models for forecasting crude palm oil prices. Utilizing historical data from 02/11/2020 to 13/11/2023, the dataset underwent training and testing with three scenarios: 90:10, 80:20, and 70:30. Evaluation metrics, including RMSE, MSE, and MAPE, assessed model performance. Each method had unique strengths and weaknesses, and the choice depended on application needs. The goal was to improve decision accuracy in predicting crude palm oil price trends. In the 90:10 scenario, random forest outperformed linear and logistic regression, yielding smaller MSE (43948.56), MAE (80.37), and RMSE (209.64). Similarly, in the 80:20 scenario, random forest had smaller MSE (137787.61), MAE (106.38), and RMSE (371.20). In the 70:30 scenario, random forest showed smaller MSE (107582.32), MAE (104.13), and RMSE (328). Overall, random forest consistently demonstrated better performance than linear and logistic regression.
Design and Evaluation of Mobile Application Interface for Expert System of Drug Selection with Local Wisdom using Goal-Directed Design and Heuristic Evaluation Approach Yasir, Fajar Novriansyah; Djusmin, Vicky Bin; Ruhamah, Ruhamah
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3335

Abstract

User interfaces play an essential role in computerized systems, especially expert systems, by facilitating communication between the user and the system. In expert systems designed to replicate experts' decision-making skills, the user interface is critical for receiving information from users and enabling effective interaction with the system. Through this interface, users can enter data and then find a solution to a problem. This research aims to create an interface design for an expert system on medicines with local wisdom. This interface design is needed to create an environment in the form of a system to preserve information about medicines with local wisdom. The approach used in designing the interface is a goal-directed design approach, and a heuristic evaluation approach is used to evaluate the design results. The research results are a high-fidelity mockup with good evaluation ratings, where none of the severity ratings obtained from 25 respondents got a score of more than 1. However, there are two aspects with a score close to 1, namely aspect nine with 0,97 severity ratings score and aspect ten with 0,98. Both focus on the absence of a contact menu that users can contact if they have problems using the application they have created. However, this can be minimized by adding information to the instructions menu section, which is already in the initial design.
Wholesale Inventory Management Optimization: Methodological Approach with XGBoost, SVR, and Random Forest Algorithms Hutagalung, Carli Apriansyah Hutagalung; Rosalind, Gisela Anastacia; Tuhu, Dewi Masito Setyo; Agustianingsih, Ayu
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3336

Abstract

This research aims to optimize wholesale inventory management at PT Primafood International Pasir Putih 2 by implementing leading algorithms, namely XGBoost, Support Vector Regression (SVR), and Random Forest. In the wholesale industry, effective inventory management plays a crucial role in maintaining smooth production processes and enhancing company profitability. Despite the acknowledged benefits of inventory management, there are aspects that remain not fully disclosed, particularly concerning demand uncertainty and market fluctuations. This study addresses these gaps by exploring the potential of these three algorithms. Experimental methods with a quantitative approach were employed to shape and prepare the dataset. The analysis and predictions' results using XGBoost, SVR, and Random Forest were evaluated using metrics such as Mean Squared Error (MSE), F1-Score, and Accuracy. The evaluation indicates that XGBoost and SVR exhibit optimal performance with low MSE values of 7714.446 and 119.315, high F1-Scores (0.92), and good accuracy levels (0.86 and 0.85), respectively. While Random Forest shows a higher MSE, it still delivers solid performance with an F1-Score of 0.89 and an accuracy rate of 0.81. These findings suggest that all three algorithms can be considered to enhance inventory management performance at PT Primafood International Pasir Putih 2, with significant potential benefits for overall industry development. This research provides valuable insights for decision-making at the business and industrial levels, highlighting the effectiveness of each algorithm in the context of predicting stock level.
Comparison Analysis of K-Means and DBSCAN Algorithms for Improving Budget Absorption Efficiency in EIS Fery Salman; Fauziah
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3373

Abstract

This study aims to analyze the comparison between the K-Means and DBSCAN clustering algorithms in budget absorption within the Executive Information System (EIS). Realized budget achievement data from regional devices serve as the primary dataset for analysis. Before conducting experiments, the data undergo a preprocessing stage to eliminate outliers and apply normalization processes, ensuring the data is ready for further analysis. Subsequently, both algorithms, K-Means and DBSCAN, are applied to the budget achievement data to generate clusters corresponding to their respective characteristics. The research anticipates that the results will unveil significant findings in comparing the performance of K-Means and DBSCAN algorithms in budget absorption within the EIS context, especially within the scope of this study. Therefore, this analysis is expected to provide valuable insights for stakeholders aiming to enhance the efficiency and effectiveness of budget management through the optimal utilization of clustering algorithms within the EIS.
Analysis And Design of Internet Network Infrastructure With Mikrotik Devices At The Penyaring Village Office Using The NDLC Method W., Yunanri.; Fitriana, Yasinta Bella; Surya, Rizky Andhika
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3377

Abstract

Communication and Internet technology are developing very rapidly, one of which is in the field of telecommunications technology and is directly proportional to the public's need for its use and also with the increasing need for fast and efficient services both in agencies, commercial, academic worlds and in the homes of residents who need internet access. Thus making telecommunications technology an inseparable technology to support human work. The Penyaring Village Office is located in North Moyo District, Sumbawa Regency, which is the center for all activities in the Village, both in the fields of government, empowerment, development, and coaching, all of which are centered at the Penyaring Village office. This research aims to analyze and design the internet network in the Penyaring Village office and prevent slow wifi so that the network stability in the Penyaring Village office becomes more stable/smooth when used, and the work in the Penyaring Village office becomes better and optimal. This research uses Router, Mikrotik, Access Point network devices, Winbox software, and other supporting devices. The network development method uses the NDLC (Network Development Life Cycle) method, which begins with the Analysis, Design, Simulation Prototype, Implemetation, Monitoring and Management. The research method uses qualitative consisting of observation, interviews, and documentation. The results of this research are building network infrastructure, network security, and bandwidth distribution in each sector which can stabilize the process of using WiFi at the Penyaring Village Office.
Utilization of Artificial Intelligence in Chatbot Development for New Student Admission Support at Cokroaminoto University Palopo Hamzah, Muhammad Akram; Siaulhak, Siaulhak; Iriansa, Iriansa; Jumardi, Andi; Aman, Andryanto
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3389

Abstract

This research aims to develop an artificial intelligence-based chatbot as a support tool for the New Student Admission (PMB) process at Cokroaminoto University Palopo. The system development method applied is the waterfall method, which consists of analysis, design, implementation, testing, and maintenance stages. The main focus of this research is to design and implement a chatbot that is able to provide information and support to prospective new students throughout the admission process. In the analysis stage, user needs and scenarios were identified to guide the development of the chatbot. System design includes the selection of artificial intelligence algorithms and a friendly user interface. Implementation involves developing a chatbot prototype that utilizes artificial intelligence technology. The expected results can improve the efficiency and quality of new student admission services at Universitas Cokroaminoto Palopo.
Towards Integrated Learning and Assistance Systems: A Framework for Technology Selection and Design: Towards Integrated Learning and Assistance Systems: A Framework for Technology Selection and Design Alkhallas, Muhannad Ismail; Abraheem, Ahmed Aboubakr Abdulwahid; Salem, Asma Almkhtar Miftah Alhaj; Alnagrat, Ahmed
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3414

Abstract

In the era of Industry 4.0, advanced assistance technologies have permeated manufacturing processes, yet the absence of systematic implementation methods remains a challenge. This research presents a multidimensional framework developed through inductive reasoning, encompassing technological capabilities and instructional considerations. Its primary objective is to guide the development of context-specific assistance solutions, shifting the focus from automated solutions to thoughtful technology selection and implementation. The framework's application has the potential to elevate stakeholder design processes through interactive visualizations and experiential anchoring. Notably, the adoption of cognitive assistance systems within manufacturing is on the rise, driven by the maturation of virtual and augmented reality solutions. However, a notable gap exists in systematic approaches for selecting and designing these technologies. This paper addresses this gap by proposing a comprehensive framework grounded in an inductive approach. This research seeks to enhance awareness among decision-makers in companies regarding essential selection and decision criteria. Furthermore, it offers guidance for a systematic and participatory implementation process. The research results underscore the importance of adopting such a framework in the industry 4.0 landscape, shedding light on the need for strategic technology integration. This study suggests that the proposed framework can serve as a valuable tool to facilitate informed decision-making and drive the successful implementation of assistance technologies in manufacturing processes.
Modeling and Power Quality Enhancement of PV Interfaced with Power Grid System Elgallai, Tareg
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3417

Abstract

Recently, photovoltaic (PV) technology has significantly contributed to the utilization of renewable energy sources. It plays a crucial role in addressing the challenges posed by climate change, enhancing energy affordability, ensuring power supply stability, and facilitating energy accessibility. PV technology represents a significant opportunity for addressing the issue of energy access among distant areas that now lack reliable access to electricity. Using a traditional grid is limited due to cost and feasibility constraints. These difficulties are to be addressed in the appropriate timeframe to improve the dependability of the supply. The expansion of the grid into these regions diminishes the overall resilience of the grid system. This leads to a situation where PV systems are integrated into an AC grid with low power quality (PQ) or limited capacity. Nevertheless, the integration of solar power into an AC grid with low capacity. The presence of PQ problems imposes limitations on the levels of penetration. Other factors impose limitations and penetration levels encompass several factors such as non-linear loads, dynamic loads, fluctuating irradiations, and partial shade, among others. This article aims to address the PQ difficulties that arise from a weak electrical infrastructure. The purpose of this compilation is to provide engineers with a readily accessible resource, offering them a distinct advantage in their professional endeavors and scholars engaged in this field of investigation. In this context, the photovoltaic (PV) array is methodically organized into 86 parallel strings. The aforementioned strings are meticulously constructed, consisting of a sequence of seven SunPower SPR-415E solar modules that are intentionally interconnected.
Design and Implementation of the SALUTS System to Support of Improvement of Tourism Transactions and Promotion Akhir Putra, Juniardi; Nuryadi, Halid; Yuliadi, Yuliadi; Mardinata, Erwin; Hudaya, Chairul; Esabella, Shinta; Putra, Ardiansyah; Juliansyah, Ahmad
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3434

Abstract

This research aims to design and build a tourism system in Sumbawa Regency. In this research is using a qualitative approach that used model of rapid application development (RAD) for system development life circle (SDLC) method. Overall the first stage is system planning, next stage is analyzing tourism data and information that would be presented on web and android technology based. In addition, for users interface display is the attractive database design. The final stage is coding the system and produce a prototype for the implementation which is presenting on the web pages and google play store for android smartphones. The system presented could be used for evaluation, monitoring and facilitating of tourism transaction and promotion processes in Sumbawa Regency.

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