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Muh Rizky Anggara Yunan Putra
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Perancangan dan Implementasi Sistem Manajemen Inventory Barang Berbasis CRUD Menggunakan Metode Waterfall Nikodemus Christiano David; Bintang Putra Aryatama; Muh Rizky Anggara Yunan Putra; Firman Andriyanto Arief; Riyan Abdul Aziz
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 10 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi Oktober 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i10.1075

Abstract

Efficient inventory management is crucial for company operations, especially in today's digital era. The implementation of an inventory management system based on CRUD (Create, Read, Update, Delete) offers a structured solution for managing stock, allowing users to easily add, view, update, and delete inventory data. This system enhances efficiency and accuracy in stock record-keeping but still has limitations, such as the lack of advanced automation features and more complex data analysis. This study evaluates the benefits and challenges of implementing the CRUD system and provides guidelines for further development to ensure the system meets the evolving operational needs. In conclusion, while the system is effective, adjustments and enhancements are needed to improve its scalability and flexibility in the future.
Implementasi Steganografi untuk Keamanan Jaringan Teknik Tersembunyi dalam Komunikasi Data Muh Rizky Anggara Yunan Putra; Bintang Putra Aryatama; Nikodemus Christiano David; Gilang Pamungkas; Indrawan Ady Saputro
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 10 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi Oktober 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i10.1093

Abstract

In the current digital era, where data threats are increasingly sophisticated and varied, network security measures such as steganography are essential. Steganography is a method used to conceal information within other media, such as images, audio, or video, so that the existence of the information is not detected by unauthorized parties. This method aims to maintain the confidentiality of the embedded message, ensuring that only the sender and the recipient are aware of its content. This research employs a literature study involving the collection of data from various sources, reading, noting, and processing the research materials. The results indicate that the implemented steganography method successfully embeds data with a low detection rate by third parties while maintaining good image quality. However, performance varies depending on the format and size of the digital media used. Overall, the implemented steganography method has proven effective in concealing sensitive data within digital media without compromising the quality of the media.
Analisis Bencana Banjir Kab. Boyolali Menggunakan Metode Decision Tree pada Rapid Miner Muh Rizky Anggara Yunan Putra; Dwiningsih; Okta Viona Cahyanti; Dewi Oktafiani
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 12 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi Desember 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i12.1339

Abstract

Flood disasters are a natural phenomenon that often occur in various regions in Indonesia, including cities such as Banjarnegara, Boyolali and Karanganyar. Floods have a significant impact on the economy, social and environment. Therefore, proper understanding and analysis of the factors that cause flooding is very important for effective mitigation efforts. This research uses a decision tree algorithm to analyze meteorological data including temperature, wind speed, humidity and rainfall from various cities in Indonesia. This data includes normal to hot temperature conditions, slightly calm wind speed to light gusts, high to moderate humidity, and extreme to very high rainfall. The results of the analysis show patterns and relationships between these variables and flood events. The decision tree algorithm is used to build a prediction model in the form of a decision tree, which makes interpretation and decision making easier. This research aims to identify the main factors that contribute to flooding and develop a prediction model that can be used to improve preparedness and response to flood disasters. By understanding the patterns and factors that cause flooding, it is hoped that more effective mitigation measures can be implemented to reduce the risk and impact of this disaster.
Co-Authors Bintang Putra Aryatama Dwiningsih Firman Andriyanto Arief Gilang Pamungkas Indrawan Ady Saputro Nikodemus Christiano David Okta Viona Cahyanti Oktafiani, Dewi Riyan Abdul Aziz