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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 Articles sent to the Brilliance may not be published elsewhere.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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Implementation of Business Intelligence In Planet Helmet Cilacap Sales Setiani, Ginanjar Rizqi; Verry, Verry; Abdul Aziz Zein, Mochamad Taufiqurrochman
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5012

Abstract

Helmets are used to anticipate serious injuries when traffic accidents occur. In several cities and villages, various helmet businesses have begun to emerge. The increasing number of residents and motorized vehicles in Indonesia provides business opportunities in the helmet business. The increasingly competitive business market challenges companies to be able to adapt to changing market conditions and diverse buyer needs. For this reason, companies must be able to respond quickly and accurately, consider the costs incurred to remain conducive, and have a strategy in decision-making that can provide solutions to changes in the current market situation to survive in the long term. Therefore, companies must be able to respond quickly and accurately, consider the costs incurred to remain conducive, and have a strategy in decision-making so that companies can survive in the long term. The implementation of business intelligence in this study uses the Online Analytical Processing (OLAP) method, namely the use of Extraction Transformation Loading (ETL), creating a data warehouse, analyzing data for users and user interfaces in the form of information visualization using the Laravel framework. Planet Helm currently needs to manage its sales data visualization digitally. This is an obstacle for leaders in managing inventory needs, and helmet sales are less effective and efficient, requiring the digitalization of web-based business intelligence management. The results of this study are in the form of a dashboard display consisting of a minimum of 7 stock widgets, average monthly sales, popular brand graphs, and monthly sales graphs.
Implementation of YOLO in Cabbage Plant Disease Detection for Smart and Sustainable Agriculture Saputra, Muhammad Andryan Wahyu; Novtahaning, Damar; Narandha Arya Ranggianto; Dwi Wijonarko
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5054

Abstract

Cabbage plants are a commodity needed by the community and an export commodity that must have good quality and be worth selling. There are approaches to create detection systems, namely rule-based and image-based. The use of images allows the system to be reorganized by training data, resulting in a flexible system. The image will be detected by the model and then predict the cabbage plant disease. The data used is image data, namely Alternaria Spots, Healthy, Black Root, and White Rust. Implementation This research tests the YOLO model in making a detection system with the highest precision-confidence result for all labels is 78,5%. While in confusion-matrix testing, the highest result is 0.67 in White Rust disease. This indicates that the YOLO model can identify diseases in cabbage plants based on data that has been trained with great results.
Smart Light Electricity Automation and Monitoring System Based on the Internet of Things (IOT) on Campus Environment Prototype Geraldine, Jihan; Ramiati, Ramiati; Dewi, Ratna
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5082

Abstract

Efficient management of electrical energy is very important in the campus environment to support energy savings. This research aims to design and implement an Internet of Things (IoT)-based Smart Light system that automates light control and monitors electricity consumption in real-time. The system uses an ESP32 microcontroller integrated with PIR sensor and LDR sensor modules for automatic control, as well as ACS712 current and ZMPT101B voltage sensors to monitor electrical power. The collected data is processed in the microcontroller to calculate the electric power and cost, then displayed through a PHP and MySQL-based web dashboard that can be accessed in real-time. Tests were conducted on the campus prototype, showing an average error of 2.78% for current and 0.086% for voltage on indoor devices, and 2.86% for current and 0.343% for voltage on outdoor devices. The system is proven to be able to control lights automatically based on user presence and lighting conditions. Test results show that the system provides accurate monitoring of electricity consumption while improving operational efficiency. For example, the indoor device has higher accuracy in monitoring consumption data than the outdoor device, even though both devices show optimal performance. This system is expected to support electrical energy savings, improve energy use efficiency, and become an innovative solution in IoT-based energy management on campus.
Metaverse Optimization: Exploration of the Potential of Ecotourism in Geopark Merangin Jambi Based on Virtual Reality Andriana, Septiana Dewi; Rismayanti
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5091

Abstract

Merangin Jambi Geopark is a world heritage site that has been recognized by UNESCO. The attractions of the Merangin Geopark are very diverse, ranging from lakes, caves, waterfalls, hot springs, traditional forests, to ancient tree fossils that are older than the island of Sumatra (the Permian Araucarioxylon fossil is 300 million years old). Unfortunately, not many people know the beauty behind this earth park, even the Merangin Geopark is in a state of "suspended animation". The Ministry of Tourism and Creative Economy is currently working to develop the potential of the Merangin Geopark. This research is important to carry out to assist the Ministry of Tourism and Creative Economy in developing virtual reality (VR) technology to map the 3Sixty form of the potential possessed by the Merangin Geopark in an effort to introduce the Merangin Geopark. It is hoped that the aim of this research will be a breakthrough in virtual reality technology to assist the Ministry of Tourism and Creative Economy in developing Ecotourism potential in the Merangin Jambi Geopark. This research method uses a Comprehensive Life Cycle Model
Application Optimazion Of Fidelity Watermarking Digital Imegery Discrete Fourier Transform Method And Rivest Shamir Adleman Algorithm Wulan, Nur; Harahap, Herlina; Sari Siregar, Yunita
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5126

Abstract

As the field of information and communication technology continues to evolve, the potential for digital crimes increases significantly. Information technology plays a key role in facilitating various human activities in the fields of communication and data exchange. The use of digital data, such as documents, photos, videos, and audio, still creates many challenges in proving ownership.. The proliferation of social media platforms like Facebook, Instagram, and TikTok has made it easier for individuals to duplicate, damage, or even steal content, often for malicious purposes related to copyright infringement.To secure digital image data, the technique of fidelity watermarking using Discrete Fourier Transform (DFT) and cryptographic authentication with the Rivest-Shamir-Adleman (RSA) algorithm can be utilized. Watermarking is a technique that embeds information into an image, serving to provide identification marks and secure copyright information. This process does not damage the original image quality. DFT is a watermarking technique that has the capability to convert the image back to the spatial domain after embedding the watermark. On the other hand, RSA is a cryptographic technique that enables data encryption using a public key and decryption with a private key. In the context of image watermarking, RSA is used to secure the watermark information embedded within the image. Watermark information that is encrypted using the public key can only be accessed or decrypted by the party possessing the private key. This enhances the security of the watermark and ensures that the information embedded within the image remains safe, even if the image is shared.
UI/UX Design of a Decision Support System to Determine Lecturer Research Linearity using the Design Thinking Method Nugroho, Ahmad; Narulita, Siska; Abdillah, M. Zakki
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5137

Abstract

The goal of this study is to develop a prototype UI/UX Decision Support System for Determining Lecturer Research Linearity based on user needs, in which users can manage research data, determine the suitability of research conducted by lecturers with their scientific fields, provide a basis for decision-making in determining whether lecturer research should be continued, and provide an overview to decision-makers regarding lecturer performance. This study used the design thinking technique, which is divided into five stages: obtaining information from users, analyzing user needs, generating ideas for solutions to user problems, creating prototypes to solve user problems, and testing and improving prototypes. This study successfully created a decision support system design and prototype that is centered on user demands and comfort. Prototype testing was carried out by UI/UX design experts. The test findings demonstrate that users respond positively to the decision support system interface and that most functionalities work properly. This demonstrates that the decision support system prototype was created with user demands, functional suitability, and convenience of use in mind. The findings of this study are expected to be used in associated institutions or agencies to collect feedback for future system improvement.
Accelerating the Identification of Soil Drought Index in Wair Koja Village Using Web-Based Thornthwaite-Mather Water Balance Calculations Yuneta, Margaretha; Lete, Maria Kurniaty; Lodan, Maria Wihelmina
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5164

Abstract

Wairkoja Village is one of the villages in the Kewapante Sub-district, Sikka Regency, where drought issues have been identified in several areas of agricultural land. A survey conducted on-site revealed extremely dry soil conditions, and the main crop, maize, had dried up or failed to yield. This research is highly urgent to address the drought problem in the study area. Through this research, it is possible to evaluate drought events, including the drought index, the impact of drought on the economic growth of residents, recommendations for addressing drought issues, and educational information regarding the drought index through web-based digital media. The purpose of this study is to provide information about the drought index at the study location using the Thornthwaite-Mather water balance method and to offer recommendations to farmers regarding the impacts of drought problems (crop failure) based on the levels of the drought index. Additionally, it aims to develop a drought index calculation website using the Thornthwaite-Mather water balance method to deliver information about drought issues in specific areas. This research employs ArcGIS software to analyze data, including soil type maps, land use maps, and topographic maps of the study area. The outputs of this research will provide information on the drought index in the study location using the web-based Thornthwaite-Mather water balance method. This study is classified as basic research with Technology Readiness Level (TRL) 2: formulation of concepts and/or technological applications.
Management Information System of Ummi Primary Clinic in Improving Service and Loyalty using WEB-based Customer Relationship Management Tasmara, Salsabila; Harahap, Aninda Muliani
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5169

Abstract

The rapid development of science and technology plays a very important role in life, both in the fields of education, industry, business, tourism, entertainment and so on. To improve service quality, an effective information system is needed. This system serves to switch from manual methods to computerized systems. With the information system, the accuracy of the data stored can be guaranteed, thus reducing the possibility of errors when inputting data. Ummi Primary Clinic is one of the level I health facility clinics in Medan in providing health services to the community. To find out customer needs, customer relationship management (CRM) is needed to manage interactions with customers, and can improve service quality and loyalty to customers. The purpose of this research is to build a Management Information System for Ummi Pratama Clinic in Improving Services and Loyalty Using Web-Based Customer Relationship Management (CRM) to facilitate clinic owners and patients in order to improve the quality of services at Ummi Pratama Clinic. In this study, researchers adopted a descriptive qualitative approach method, the Waterfall Method was applied to structured research in building a software. Based on the results of the research, it can be concluded that this system is a web designed according to the needs of Ummi Pratama Clinic which is useful for managing clinic relationships with customers. The information generated by CRM is beneficial for the clinic and customers, because criticism, suggestions, needs and desires of customers can be well facilitated and become a motivation for the clinic to improve services for satisfaction.
Usability Analysis of A Package Tracking System Using The System Usability Scale Method Asnawi, Noordin; Lenawati, Mei; Pamungkas, Ridho; Setiawan, Dimas
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5170

Abstract

The Main Branch Post Office (Kantor Pos Cabang Utama, KCU) Madiun, as part of the Pos Indonesia network, plays a key role in managing parcel deliveries, document handling, and financial transactions in Madiun and surrounding areas. The delivery process includes three main stages: First Mail, Middle Mail, and Last Mail. In the First Mail stage, mail and parcels are collected at counters from various sources such as post offices, mailboxes, or customers. In the Middle Mail stage, items are sorted by officers based on their final destinations. Finally, in the Last Mail stage, parcels are sorted again by specific routes or locations within the city before being delivered directly to recipients by couriers.This research focuses on evaluating and improving the user interface of the "Tracking System," a digital tool used to monitor shipments across these stages. To measure its usability and user-friendliness, the System Usability Scale (SUS) method was employed, involving 10 statements for respondents, who were selected from system users. The study's findings reveal that the tracking system is categorized as "OK" in adjective ratings and "Marginal" in terms of acceptability. These results highlight areas for improvement in the system to better support the growing demands of digital postal services while ensuring user satisfaction.
Development of Internal Quality Audit Information System with Personal Extreme Programming (PXP) Approach Darmansyah, Darmansyah; Tanjung, Rifqi Aulia; Anggraini, Novita Lizza; Lumenta, Vincent Gravie Ebenhaezer
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.5175

Abstract

Internal Quality Audit (IQA) is an important process to ensure the quality of implementation of activities in educational institutions in accordance with established standards. However, the implementation of IQA that is still carried out manually or semi-digitally can hamper the effectiveness, efficiency, and accuracy in data management and reporting of audit results. Therefore, an information system is needed that can support the audit process in a more systematic and integrated manner. This research examines the development of an internal quality audit system using the Personal Extreme Programming (PXP) approach that is carried out iteratively. The purpose of this study was to evaluate the effectiveness and efficiency of the system developed through four iterations, each of which focused on developing key features such as user management, document management, audit process, and assessment. The PXP methodology was applied to provide flexibility in responding to user feedback, with each iteration resulting in rapid improvements and adjustments according to emerging needs. The results showed that the developed system met the audit management objectives with high functionality, ease of use, and improved efficiency at each iteration. In addition, this iterative approach allows the system to be more responsive to changing user needs compared to conventional development methods. Overall, this research supports the use of PXP as an effective methodology in the development of internal quality audit systems, demonstrating that it can produce solutions that are adaptive, efficient, and suited to user needs.

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