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All Journal Brilliance: Research of Artificial Intelligence
Rahmat Siswanto
Universitas Muhammadiyah Palopo, Indonesia
Decision Sciences, Operations Research & Management Mathematics Other

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The Design of Baby Equipment Rental Website Using Laravel Framework at Rafana Rent Store Sitti Nurhaliza; Isdayani B; Rahmat Siswanto
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6213

Abstract

Technological developments have encouraged various business sectors to adapt to digitalization, including the baby equipment rental sector. This study aims to design and build a web-based baby equipment rental information system using the Laravel Framework at the Rafana Rent Store in Palopo City. The method used is a qualitative descriptive approach using a prototype development model. Data was obtained through interviews, observations, and documentation of the rental process carried out manually. The results of this study indicate that the system created can overcome various problems in the manual rental process, such as delays in service, recording, which is still done manually in notebooks, and lack of efficiency in payment confirmation. This system provides main features such as online ordering, uploading proof of payment, and managing stock of goods. Through the trials, the system was considered to facilitate customers in carrying out the rental process, which can be done anytime and anywhere, and help shop owners manage transaction data more accurately and provide efficient service to customers. Implementing this system is expected to improve the quality of service and speed up and simplify the rental process. The Rafana Rent Store can manage its business more professionally and be ready to face the digitalization era. This system can also be an example of the application of information technology in micro businesses.
Website-Based Kakaomu Application Development Arjuna Haedar; Andi Nurlinda Thamrin; Rahmat Siswanto
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6332

Abstract

The development of digital technology, especially in artificial intelligence (AI), has brought about major changes in various sectors of life, including agriculture. AI allows agricultural activities to be carried out more efficiently, accurately, and based on data. One of the agricultural commodities affected by this progress is cocoa. As one of the largest cocoa producers in the world, Indonesia has a great opportunity to develop this sector. However, the challenges in the field are still quite complex, especially in areas such as Pongo Village and North Luwu Regency. Cocoa farmers in this area face various problems, such as Helopeltis spp. pest attacks, declining plantation productivity, lack of market information, and lack of a comprehensive cocoa product tracking system. These problems result in suboptimal harvests and difficulty competing in the global market. To answer this challenge, the development of technology-based solutions is very important. One of the proposed innovations is the Kakaomu web application, which utilizes artificial intelligence to assist farmers in various aspects of agriculture. The main features of this application include pest identification and control, monitoring current market prices, recording production results, and a digital traceability system from the plantation to the end consumer. With the adoption of this technology, cocoa productivity, efficiency, and quality can increase significantly. In addition, this can also strengthen Indonesia's cocoa position in the world export market and encourage more modern and sustainable agriculture.
Design of Letter Management System at Kanna Utara Village Office Based on Website Syahratul Annas; Isdayani B; Rahmat Siswanto
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6333

Abstract

This study aims to design a correspondence management system in the Kanna Utara village office based on a website that previously used manual methods through bookkeeping and Microsoft Word/Excel applications; these methods have various weaknesses, such as easy archive damage, limitations in searching for letters, and potential data loss. The system, which was designed using the Laravel framework with an agile development approach, aims to improve efficiency, security, and ease of access for both village officials and the community. This qualitative research approach uses observation and interviews to identify user needs, such as digital management of incoming and outgoing letters, online submission by the community, and tracking of letter status in real time. This system has separate features between Kanna Utara village office employees and the community to ensure access authority according to their respective roles. Kanna Utara village office employees can monitor and manage letters through the admin dashboard, and the community can submit letter requests and view letter status on the public dashboard. The simple interface makes it easy for village officials with technical limitations to operate the system. Although the system is running well, development, such as digital signatures and automatic notifications via short messages, is still needed. This study concludes that digitalizing the correspondence system at the village level is possible and can be used as a model for other villages with similar conditions.
Agile Scrum Integration In Designing Statistics Modules Hpp Reports In Applications (Ta Cashier) Ansar Ansar; Isdayani. B; Rahmat Siswanto
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6378

Abstract

The advancement of information technology, especially in the development of web-based applications, has made a major contribution in improving the efficiency of business operations, including in point-of-sales (POS) systems. Based on observations and interviews conducted at the student cooperative of Muhammadiyah University of Palopo, it was found that the cashier system used did not yet have goods statistics features and cost of goods sold (COGS) reports. Therefore, this study aims to design and develop these two important modules using the Agile Scrum approach. The method used is Agile Development with the Scrum framework, which is divided into several sprints with measurable development targets. The system is developed using the Laravel framework and MySQL database. The two main modules built are (1) Goods statistics which displays the number of products sold per day, week, and month, and (2) COGS report which calculates the total cost of goods sold and profit margin based on purchase and sales data. The development results show that both modules function according to user needs. The Statistics module can display real-time data that is relevant for sales evaluation, while the COGS module is able to calculate the cost of goods sold accurately and present complete financial reports. Validation is carried out through sprint reviews and user acceptance tests (UAT), which show that these features facilitate the business decision-making process. In conclusion, the integration of the Agile Scrum method in POS application development has proven effective in building analytical features that are relevant and adaptive to the needs of MSMEs.
Co-Authors Andi Nurlinda Thamrin Ansar Ansar Arjuna Haedar Isdayani B Isdayani. B Sitti Nurhaliza Syahratul Annas