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All Journal Jurnal Riset Informatika Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia
Nur Rohmani, Mayda
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Humanities Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

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Sistem Pakan Ikan Berbasis Internet of Things Pada Jurusan Vokasional Setyoko; Nur Rohmani, Mayda; Pramono
BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia Vol. 2 No. 2 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia
Publisher : CV. Shofanah Media Berkah

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Abstract

The fisheries industry continues to evolve, requiring innovative approaches to enhance production efficiency. Fish feeding management is a key aspect of cultivation that requires careful supervision and control. In this context, the use of Internet of Things (IoT) technology promises intelligent solutions that can efficiently monitor and control fish feeding. This research aims to design and implement an IoT-based Fish Feeding System at the Vocational Fisheries Department. Using qualitative methods involving surveys and direct observations, we developed a system consisting of integrated architecture with main components and appropriate control algorithms. With the adoption of IoT technology, fish feeding management can become more automated and measurable, improving feed efficiency and reducing waste. The implementation of this system also makes a positive contribution to vocational education in fisheries, providing practical experience to students. The results of this research indicate that the IoT-based Fish Feeding System has great potential to enhance fisheries production efficiency and provide an innovative approach to fish feeding management that can be widely adopted by the fisheries industry.
KNOWLEDGE-BASED HIJAB PRODUCT SELECTION RECOMMENDATION SYSTEM AT CANDY SCARVES Nur Rohmani, Mayda; Hartanti, Dwi; Ayu Kusuma Asri, Anindhiasti
Jurnal Riset Informatika Vol. 7 No. 3 (2025): Juni 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1835.21 KB) | DOI: 10.34288/jri.v7i3.377

Abstract

The primary objective of this study is to construct a knowledge-driven hijab product selection recommendation system for Candy Scarves. This system is designed to help customers find hijabs that match their criteria by utilizing customer characteristics and product attributes. The study uses a knowledge-based recommendation approach supported by case-based techniques. The construction of the system is orchestrated through the application of the Rapid Application Development (RAD) paradigm, encompassing a sequence of iterative stages—ranging from requirement formulation and architectural design to accelerated prototyping and eventual deployment—thus privileging adaptability and user-centered refinement over linear progression. Data modeling using sample data totaling 25 hijab products and 6 attributes. The system provides recommendations based on criteria for hijab models, materials, hijab colors, skin colors, motifs, and prices. The empirical findings reveal that the hijab item exhibiting the utmost degree of similarity is the Umama Hijab with voal material, mocha hijab color, brown skin color, and plain motifs with a result of 0.90303. The results of this analysis are able to provide personal recommendations effectively and have the potential to increase customer satisfaction and product sales.
Co-Authors Anindhiasti Ayu Kusuma Asri Dwi Hartanti Pramono Setyoko