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Menampilkan 91–100 dari 144 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
Kesejahteraan Mental Karyawan dalam Era Digital: Dampak Teknologi pada Kesejahteraan Mental Karyawan dan Upaya untuk Mengatasi Stres Digital
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 2
, No 4
(2023)
Purpose – Using a Literature Review, the purpose of this research is to see and discuss the negative impact of emerging digital technology on the mental well-being of employees. Next, this article explores various efforts that can be made to overcome digital stress, both efforts that can be made by companies, leaders and managers, as well as employees themselves. Design/methodology/approach – Directed literature review is carried out to search for relevant sources on Google Scholar to form the b...
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20 Sitasi
EDUKASI TENTANG HIPERTENSI TERHADAP PENGUNJUNG PUSKESMAS BARENG KOTA MALANG
Empowerment Journal
Vol 3
, No 2
(2023)
Latar Belakang: Hipertensi merupakan penyakit penyebab utama kematian prematur di dunia. Hipertensi adalah suatu keadaan dimana terjadi peningkatan tekanan darah melebihi ambang batas normal. Tekanan darah tinggi menjadi masalah kesehatan dominan dan membutuhkan penganggulangan yang baik. Tujuam: Meningkatkan pengetahuan pengunjung tentang hipertensi dan senam hipertensi untuk mencegah dan mengurangi resiko terjadinya hipertensi. Metode: Penyuluhan dan demosntrasi secara langsung tentang hiperte...
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Pengolahan Lahan Kosong Pekarangan Rumah dengan Tanaman Obat Keluarga (Toga) Guna Meningkatkan Penghasilan Pasca Pandemi Covid-19
Putri, Eskasari
; Setiawati, Erma
; Fuad Hudaya Fatchan
; Mukhammad Akbar, Ashar
; Rosa Indriana, Octavia
Abdi Psikonomi
(2023)
Tanaman Obat Keluarga bagus untuk dikembangkan, namun saat ini terkadang masyarakat kurang mengetahui manfaat apabila tanaman-tanaman tersebut ditanam di lahan-lahan rumah yang masih kosong. Padahal tanaman yang dapat digunakan sebagai obat memang perlu untuk dikembangkan. Apalagi jika memiliki lahan yang mendukung namun tidak dimanfaatkan dengan baik.
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Analisis Penerapan Akuntansi Pertanggungjawaban Dengan Anggaran Sebagai Alat Pengendalian Biaya Pada Pintar Asia Swalayan Maumere
Populer: Jurnal Penelitian Mahasiswa
Vol 2
, No 3
(2023)
This study aims to determine the extent to which responsibility accounting is implemented at Pintar Asia Swalayan and to evaluate the efficiency of cost control at Pintar Asia Swalayan Maumere. The analytical method used in this study is descriptive method, with data analysis techniques in the form of an overview of the application of responsibility accounting which refers to the 5 conditions for implementing responsibility accounting according to Mulyadi's theory. The results obtained in this s...
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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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29 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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25 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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25 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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36 Sitasi
PERANCANGAN IKLAN LAYANAN MASYARAKAT PEKERJA ANAK DIBAWAH UMUR PROVINSI RIAU UNTUK MENGURANGI PENINGKATAN PEKERJA ANAK DI PROVINSI RIAU
Citrakara
Vol 5
, No 2
(2023)
Bahaya dan dampak buruk yang dihasilkan dari pekerja anak di bawah umur di Provinsi Riau belum sepenuhnya diketahui oleh masyarakat terutama orang tua sebagai generasi selanjutnya. Komisi Perlindungan Anak Indonesia Daerah (KPAID) Kota Pekanbaru, Provinsi Riau perlu mengembangkan informasi dan edukasi tentang menghindari mempekerjakan anak secara komunikatif dan efektif melalui media iklan layanan masyarakat. Metode penelitian menggunakan kualitatif, metode analisis data framing dan metode pera...
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