S
Supeno Mardi Susiki Nugroho
Researcher at Sepuluh Nopember Institute of Technology
Publications - 100
Citations - 333
Supeno Mardi Susiki Nugroho is an academic researcher from Sepuluh Nopember Institute of Technology. The author has contributed to research in topics: Computer science & Convolutional neural network. The author has an hindex of 6, co-authored 83 publications receiving 174 citations. Previous affiliations of Supeno Mardi Susiki Nugroho include Indonesia University of Education.
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Journal ArticleDOI
Market Basket Analysis to Identify Customer Behaviours by Way of Transaction Data
TL;DR: The trial result showed that the development and the implementation of market basket analysis application through association rule method using apriori algorithm could work well and could be used to analyze the existing transaction data.
Journal ArticleDOI
Blockchain-Based Data Sharing for Decentralized Tourism Destinations Recommendation System
Yunifa Miftachul Arif,Hani Nurhayati,Fachrul Kurniawan,Supeno Mardi Susiki Nugroho,Mochamad Hariadi +4 more
TL;DR: This paper proposes the data-sharing system scheme, which uses a blockchain-based decentralized network that each node can be connected directly to each other, to support the exchange of data between them.
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Real time face recognition of video surveillance system using haar cascade classifier
Adlan Hakim Ahmad,Sharifah Saon,Abd Kadir Mahamad,Cahyo Darujati,Sri Wiwoho Mudjanarko,Supeno Mardi Susiki Nugroho,Mochamad Hariadi +6 more
TL;DR: The proposed system makes use of surveillance camera system that can identify the identity of a person automatically by using face recognition of Haar cascade classifier using Python programming and OpenCV library.
Journal ArticleDOI
Chaos-based image encryption using Arnold's cat map confusion and Henon map diffusion
Anak Agung Putri Ratna,Frenzel Timothy Surya,Diyanatul Husna,I Ketut Eddy Purnama,Ingrid Nurtanio,Afif Nurul Hidayati,Mauridhi Hery Purnomo,Supeno Mardi Susiki Nugroho,Reza Fuad Rachmadi +8 more
TL;DR: This research designed an image encryption system that focused on securing teledermatology data in the form of skin disease images using chaos-based encryption with confusion and diffusion techniques.
Journal ArticleDOI
An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation
TL;DR: In this paper, an automatic scenario control system is proposed to visualize travel recommendation scenarios choice according to the player's expectations of potential tourism destinations criteria, and the test results show that Automatic Scenario Control generates a preference value for each alternative as a reference for choosing tourism destination scenarios for the player.