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IMPLEMENTASI DATA MINING DALAM MENENTUKAN TATA LETAK PRODUK MENGGUNAKAN ALGORITMA FP-GROWTH Prathama, Gede Humaswara; Devi Anggreni, Ni Komang Ayu; Oktavia Gama, Adie Wahyudi; Darma Paramartha, I Gusti Ngurah
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 19 No. 2 (2025): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v19i2.22855

Abstract

This study analyzes purchasing patterns in minimarkets using the FP-Growth algorithm to optimize product layouts. One year of sales transaction data (103,181 transactions) from UNDIKNAS Mart were analyzed through data cleaning, transformation, and aggregation. The FP-Growth algorithm was applied with minimum support 5%, confidence 80%, and lift >1 thresholds. Results identified strong product associations, particularly between "Aqua 600 ml (Tanggung)" and various snacks, with confidence values of 81-93% and lift >5. Implementing these findings in product arrangement increased sales by 15-20% despite store accessibility limitations. Cross-validation using a decision tree model showed 81.67% accuracy. The findings demonstrate FP-Growth's effectiveness in small-scale transaction data analysis. The research provides practical contributions for retailers to boost sales through data-driven product layout optimization. A limitation is the single-location data scope, suggesting the need for broader subsequent studies. This study offers a data-based approach adoptable by small and medium retail businesses to enhance operational efficiency and profits. The research confirms that data mining techniques can significantly impact retail performance even in constrained environments, providing empirical evidence of FP-Growth's practical utility in real-world minimarket settings. The methodology and findings contribute to the growing literature on data mining applications in small-scale retail operations, offering replicable frameworks for similar business contexts.
REVIEW ALGORITMA CROWD DETECTION DAN FACE RECOGNITION Prathama, Gede Humaswara
Jurnal Ilmiah Telsinas Vol 2 No 2 (2019)
Publisher : Universitas Pendidikan Nasional

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Abstract

Saat ini marak terjadi tindakan kriminal di kota-kota, tindakan kriminal tidak hanya terjadi di daerah sepi namun juga di keramaian. Pihak keamanan tentu sudah disiapkan untuk menjaga keamanan dan kenyamanan di sudut-sudut kota. Pihak keamanan terus meningkatkan quick response terhadap tindakan kriminal di daerahnya. Namun hal tersebut belum cukup untuk menjaga kenyamanan terutama pada keramaian jika tidak dibantu dengan teknologi yang ada saat ini. Crowd detection dan face recognition merupakan teknologi yang sudah banyak digunakan dalam berbagai keperluan pada saat ini. Crowd detection merupakan teknologi untuk mendeteksi gerakan manusia dari sebuah kamera. Sedangkan Face recognition adalah teknologi untuk mendeteksi wajah manusia dari sebuah kamera. Dalam beberapa tahun terakhir, algoritma untuk crowd detection telah mendapatkan minat yang kuat, sehingga berbagai penelitian tentang crowd detection sudah banyak dilakukan dengan berbagai metode. Begitu juga dengan face recognition, telah banyak dilakukan penelitiannya dengan berbagai metode dan algoritma. Pihak keamanan dalam menjaga keamanan dan kenyamanan dapat memanfaatkan kedua teknologi ini sebagai sarana pendukung untuk meningkatkan quick response dari pihak keamanan.
User-Centered Design Approach in Developing User Interface and User Experience of Sculptify Mobile Application Dananjaya, Md. Wira Putra; Prathama, Gede Humaswara; Darmaastawan, Kadek
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4206

Abstract

In the increasingly digital era, user interface (UI) and user experience (UX) design have become crucial factors in application development. The success of an application is not only determined by its functionality, but also by how well users can interact with the application. User Centered Design (UCD) is an approach that places users as the main focus in every stage of design, from initial research to final evaluation, to ensure that the resulting product truly meets user needs and expectations. This study applies the UCD approach to the UI and UX design of the Sculptify application, which is designed to facilitate the buying and selling of sculptures and other three-dimensional works of art. Given the complexity and uniqueness of art product transactions, effective UI and UX design is very important. This study involves the active participation of potential users through methods such as interviews, surveys, and usability testing to create an intuitive interface and provide a satisfying experience for users. The research stage begins with research to understand user needs and preferences, followed by initial design and a series of tests and iterations based on user feedback. The final evaluation is carried out to measure the extent to which the final design meets user needs and expectations. The results of the UCD implementation are expected to provide valuable insights into the importance of placing users at the center of the design process and how this can improve the quality of interactions and overall user satisfaction.