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Journal of Deep Learning, Computer Vision and Digital Image Processing
Published by Sakura Digital Nusantara
ISSN : 29868920     EISSN : 29868939     DOI : https://doi.org/10.61255/decoding
Core Subject : Science,
Computer Science & IT
The Journal of Deep Learning, Computer Vision and Digital Image Processing (DECODING), covers all topics of artificial intelligence and soft computing and their applications, including but not limited to: • Neural networks • Reasoning and evolution • Intelligent search • Intelligent planning • Intelligence applications • Computer vision and speech understanding • Multimedia and cognitive informatics • Data mining and machine learning tools, heuristic and AI planning strategies and tools, computational theories of learning • Technology and computing (like particle swarm optimization); intelligent system architectures • Knowledge representation • Bioinformatics • Natural language processing • Automated reasoning • Logic programming • Machine learning • Visual/linguistic perception • Evolutionary and swarm algorithms • Derivative-free optimisation algorithms • Fuzzy sets and logic • Rough sets • Simulated biological evolution algorithms (like genetic algorithm, ant colony optimization, etc) • Multi-agent systems • Data and web mining • Emotional intelligence • Hybridisation of intelligent models/algorithms • Parallel and distributed realisation ofintelligent algorithms/systems • Application in pattern recognition, image understanding, control, robotics and bioinformatics • Application in system design, system identification, prediction, scheduling and game playing • Application in VLSI algorithms and mobile communication/computing systems
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
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Search results for , issue "Volume 1 Issue 2 September 2023" : 5 Documents clear
IMPLEMENTASI FUZZY MAMDANI UNTUK PENENTUAN SPESIFIKASI LAPTOP Ahmad Dani Setiawan; Fuad, Ahmad
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 1 Issue 2 September 2023
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v1i2.154

Abstract

Penggunaan laptop pada saat ini sedang mengalami pertumbuhan yang pesat sehingga menjadikannya sebagai salah satu kebutuhan yang penting bagi kalangan masyarakat luas. Terkadang, pengguna tidak selalu mengadaptasikan spesifikasi laptop dengan penggunaannya yang sebenarnya. Sebagai contoh, mereka mungkin membeli laptop dengan spesifikasi tinggi, padahal sebenarnya laptop tersebut akan digunakan untuk pekerjaan yang lebih berat seperti desain grafis, dibandingkan dengan pekerjaan yang hanya membutuhkan pengetikan biasa. Tujuan dari penelitian ini adalah menghasilkan nilai yang menjadi acuan sebagai kriteria spesifikasi dari sebuah laptop sesuai dengan komponen perangkat keras. Penelitian menggunakan fuzzy model mamdani dengan tahapan pembentukan himpunan, aplikasi fungsi implikasi, komposisi aturan dan defuzzifikasi. Hasil dari penelitian adalah nilai keluaran dengan akurasi 70% dari sistem yang dibuat dengan nilai keluaran yaitu kategori spesifikasi laptop berdasarkan input komponen perangkat keras yang dapat membantu pengguna untuk mengetahui laptop yang dimiliki atau akan dimiliki memiliki kemampuan yang rendah, sedang atau tinggi.
Identifikasi Identifikasi Tulisan Tanda Tangan Menggunakan Algoritma Convolutional Neural Network Ihlasul Amal; Ishak; Muh.Devan Fahresi; Maulana Muhammad
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 1 Issue 2 September 2023
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v1i2.157

Abstract

Signature is the outcome of a writing process with distinct characteristics, serving as one of the proofs of the validity of an agreement conducted by two or more parties as evidence of identity verification. This study aims to design a system capable of identifying an individual based on inputted signature images into the system. The rapid development of knowledge can certainly be leveraged to facilitate and address issues in human daily life, one of which is the application of expertise in the field of pattern recognition, enabling the creation of a signature identification system. There are five main stages employed in this research, namely image acquisition, image augmentation, system architecture design, training process, and testing process. The research results demonstrate that the applied method proves to be effective in designing a signature identification system. This is substantiated by the accuracy level of the system testing reaching 98.148%.
Aplikasi Absensi Mahasiswa Meningkatkan Efisiensi dan Mencegah Kecurangan dalam Pencatatan Kehadiran Rifai Wadjidi, Abdul; Rifal, Rifal; Sulfahmi, Sulfahmi; Kurnia Prima Putra
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 1 Issue 2 September 2023
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v1i2.170

Abstract

Attendance is the process of recording and monitoring the presence of individuals in an event, meeting, or specific activity. In an educational setting, attendance is used to monitor the presence of students in class. Attendance becomes part of the assessment given by instructors to students, which can affect the final grades received by the students. However, cheating often occurs among students regarding attendance in order to meet the minimum attendance requirement in teaching and learning activities. This practice of proxy attendance can harm the instructors, other students, and even the students who engage in such cheating. Additionally, the attendance sheets used to record attendance often suffer from damage. Yet, these attendance sheets will be used as reports related to teaching and learning activities within a semester. If these documents are damaged, it will affect the document verification process by the university. Therefore, we have designed the Student Attendance Application to facilitate and enhance the efficiency of recording student attendance in the campus environment.
Optimisasi Layanan Penyewaan Mobil melalui Pengembangan Aplikasi Mobile Membangun Solusi Efisien dalam Industri Penyewaan Mobil Nuraisyar Aglaia, Alifya; Auliya Putri, Andi Sri; Aswariah, Ainil; Kurnia Prima Putra
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 1 Issue 2 September 2023
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v1i2.171

Abstract

The car rental industry has grown rapidly in recent years. More and more people need rental cars for business trips, vacations, or daily necessities. However, with the development of this industry, it becomes a new challenge for us so that it becomes a new problem and difficulty in finding and ordering car rentals easily and efficiently. The purpose of this car rental application is to provide clear and detailed guidelines for the team in building a good and effective car rental application. By developing this car rental application, we hope to provide a better and more efficient experience for prospective car renters. We believe that by utilizing digital technology, car rental can be simpler, transparent and easily accessible to everyone.
Pembelian Tiket Bus Aneka Trasport Dan Po.Sejahtra Menggunakan Metode Fuzzy Inference System Syair, Andi Irfandiari Syair; Prasetya, Muhammad Fahril; Adiba, Fhatiah
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 1 Issue 2 September 2023
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v1i2.172

Abstract

Aneka Transport and Po.Sejahtar is a public transportation service that has a Selayar-Makassar route, various transports and Po.Sejahtra with millions to solve problems caused by the increasing volume of vehicles going back and forth from Selayar - Makassar. This research was carried out to determine bus ticket prices using fuzzy inference system. to overcome the uncertainty and complexity in making decisions in terms of pricing based on influencing factors, such as the distance traveled, facilities, and the number of buyers.

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