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Menampilkan 21–30 dari 35 artikel
Image Encryption using Half-Inverted Cascading Chaos Cipheration
Setiadi, De Rosal Ignatius Moses
; Robet, Robet
; Pribadi, Octara
; Widiono, Suyud
; Sarker, Md Kamruzzaman
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
This research introduces an image encryption scheme combining several permutations and substitution-based chaotic techniques, such as Arnold Chaotic Map, 2D-SLMM, 2D-LICM, and 1D-MLM. The proposed method is called Half-Inverted Cascading Chaos Cipheration (HIC3), designed to increase digital image security and confidentiality. The main problem solved is the image's degree of confusion and diffusion. Extensive testing included chi-square analysis, information entropy, NCPCR, UACI, adjacent pixel...
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14 Sitasi
Plant Diseases Classification based Leaves Image using Convolutional Neural Network
Journal of Computing Theories and Applications
Vol 1
, No 1
(2023)
Plant disease is one of the problems in the world of agriculture. Early identification of plant diseases can reduce the risk of loss, so automation is needed to speed up identification. This study proposes a custom-designed convolutional neural network (CNN) model for plant disease recognition. The proposed CNN model is not complex and lightweight, so it can be implemented in model applications. The proposed CNN model consists of 12 CNN layers, which consist of eight layers for feature extractio...
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28 Sitasi
High-Performance Convolutional Neural Network Model to Identify COVID-19 in Medical Images
Journal of Computing Theories and Applications
Vol 1
, No 1
(2023)
Convolutional neural network (CNN) is a deep learning (DL) model that has significantly contributed to medical systems because it is very useful in digital image processing. However, CNN has several limitations, such as being prone to overfitting, not being properly trained if there is data duplication, and can cause unwanted results if there is an imbalance in the amount of data in each class. Data augmentation techniques are used to overcome overfitting, eliminate data duplication, and random...
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24 Sitasi
Comprehensive Analysis and Classification of Skin Diseases based on Image Texture Features using K-Nearest Neighbors Algorithm
Journal of Computing Theories and Applications
Vol 1
, No 1
(2023)
Skin is the largest organ in humans, it functions as the outermost protector of the organs inside. Therefore, the skin is often attacked by various diseases, especially cancer. Skin cancer is divided into two, namely benign and malignant. Malignant has the potential to spread and increase the risk of death. Skin cancer detection traditionally involves time-consuming laboratory tests to determine malignancy or benignity. Therefore, there is a demand for computer-assisted diagnosis through image a...
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24 Sitasi
Dataset and Feature Analysis for Diabetes Mellitus Classification using Random Forest
Mustofa, Fachrul
; Safriandono, Achmad Nuruddin
; Muslikh, Ahmad Rofiqul
; Setiadi, De Rosal Ignatius Moses
Journal of Computing Theories and Applications
Vol 1
, No 1
(2023)
Diabetes Mellitus is a hazardous disease, and according to the World Health Organization (WHO), diabetes will be one of the main causes of death by 2030. One of the most popular diabetes datasets is PIMA Indians, and this dataset has been widely tested on various machine learning (ML) methods, even deep learning (DL). But on average, ML methods are not able to produce good accuracy. The quality of the dataset and features is the most influential thing in this case, so deeper investment is needed...
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32 Sitasi
Penerapan Sistem Informasi Untuk survei Marketplace dalam Bisnis Keatif UMKM Berbasis E-commerce: Teguh Setiadi, Laksamana Rajendra Haidar Azani Fajri, Susanti Dwi Ilhami
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 2
, No 2
(2023)
Perkembangan UMKM saat ini merupakan salah satu usaha produktif yang sering dilakukan oleh sebagian besar masyarakat bisnis Indonesia, khususnya dalam bentuk media online perkembangan era milenial. E-commerce memberikan keuntungan bagi UKM, namun saat ini hanya sedikit UKM yang telah mengadopsi e-commerce. Oleh karena itu, perlu diketahui faktor-faktor yang mendorong UKM mengadopsi e-commerce dalam meningkatkan kinerja operasional. Selama ini penelitian tentang e-commerce hanya dilakukan pada sk...
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4 Sitasi
Sistem Pendukung Keputusan Untuk Menentukan Penerima Beasiswa Pada SMK Muhammadiyah 1 Weleri Menggunakan Metode SAW
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 1
, No 3
(2023)
Pemberian Beasiswa merupakan program kerja yang ada di setiap sekolah atau Madrasah. Program beasiswa diadakan untuk meringankan beban siswa dalam menempuh masa studi khususnya dalam masalah biaya. Pemberian beasiswa kepada siswa dilakukan secara selektif sesuai dengan jenis beasiswa yang diadakan. Sesuai dengan peraturan yang sudah ditentukan oleh pihak SMK Muhammadiyah 1 Weleri untuk memperoleh beasiswa,...
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2 Sitasi
PENGARUH E-WOM (Electronic Word Of Mouth) DAN DAYA TARIK TERHADAP KEPUTUSAN BERKUNJUNG REST AREA HERITAGE KM 260B: (Studi Empiris Pengunjung Rest Area Heritage KM 260B)
EBISNIS : JURNAL ILMIAH EKONOMI DAN BISNIS
Vol 16
, No 1
(2023)
This study has the main objective of knowing how the influence of E-WOM (electronic word of mouth) and the appeal of the decision to visit the Rest Area Heritage KM 260B. This study uses a quantitative research type with the SPSS version 22 method. The population used in this study is all visitors in the Heritage Rest Area with a sample of 101 respondents, consisting of 16 questions and obtained by distributing questionnaires to all Rest Area Heritage visitors. offline (paper) and online (google...
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1 Sitasi
Analisis Pengaruh Perilaku Konsumen Dalam Pengambilan Keputusan Pembelian Online Masyarakat Kabupaten Brebes Pada E-Commerce Shoppe
EBISNIS : JURNAL ILMIAH EKONOMI DAN BISNIS
Vol 16
, No 1
(2023)
Consumer behavior is the basis for consumers to make purchasing decisions. Consumer behavior is an activity that is closely related to the process of purchasing goods or services. In this study, the independent variable is consumer behavior (X), while the dependent variable is online purchasing decisions (Y). This study aims to examine and analyze the influence of consumer behavior in making online purchasing decisions for the people of Brebes Regency on e-commerce shoppe. The type of research u...
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7 Sitasi
Development of Subject-Specific Pedagogy for Natural Science Based on the MIKiR Approach for Landslide Disaster Prevention
Jurnal Komunikasi Pendidikan
Vol 7
, No 1
(2023)
Students' lack of a disaster response mindset is both a problem and a challenge that must be addressed in science education. Based on the MIKiR approach, which is linked with natural disaster prevention, the goal of this study is to define the features of science Subject-Specific Pedagogy. This study involves both research and development (R&D). The research procedure follows the Borg & Gall development model, which involves five main steps: (1) analyzing the product to be developed; (2)...
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