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Menumbuhkan Kepedulian Sosial Dan Kerjasama Anak Melalui Metode Groupwork
Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri
Vol 3
, No 1
(2023)
Humans are social creatures who cannot live alone and need the help of others in every aspect of their lives. Good cooperation must be instilled in children from an early age so that they can develop and be able to function socially well in the future. Fostering social care and cooperation in children can be done in various ways even through games. Through games children are easier to learn. This activity was carried out as one of the mini projects of Field Work Practice 2 activities carried out...
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Implementasi Pelaksanaan Zona Integritas pada Fakultas Ilmu Sosial dan Ilmu Politik Universitas Negeri Semarang
Natal Kristiono
; Rudi Salam
; Hanik Latifah
; Indri Astuti
; Amalia Adya Prastiwi
; Sa’ya Rosada Al Firdaus
; Meike Dwi Novita
Sinar Dunia: Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan
Vol 2
, No 4
(2023)
The phenomenon of corruption that occurs in the public sector is not only small scale, but also occurs in public management at the operational level up to that carried out by officials. One effort to prevent corruption is bureaucratic reform, which is implemented by every government agency, including the Faculty of Social Sciences, Semarang State University through the construction of integrity zones. Based on the background above, the author formulates several problems, namely the implementatio...
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Butterflies Recognition using Enhanced Transfer Learning and Data Augmentation
Adityawan, Harish Trio
; Farroq, Omar
; Santosa, Stefanus
; Islam, Hussain Md Mehedul
; Sarker, Md Kamruzzaman
; Setiadi, De Rosal Ignatius Moses
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
Butterflies’ recognition serves a crucial role as an environmental indicator and a key factor in plant pollination. The automation of this recognition process, facilitated by Convolutional Neural Networks (CNNs), can expedite this task. Several pre-trained CNN models, such as VGG, ResNet, and Inception, have been widely used for this purpose. However, the scope of previous research has been somewhat constrained, focusing only on a maximum of 15 classes. This study proposes to modify the CNN Ince...
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14 Sitasi
Penatalaksanaan Fisioterapi Pada Kasus Bronkopneumonia Anak di Rumah Sakit Wijaya Kusuma Lumajang
Jurnal Fisioterapi dan Ilmu Kesehatan Sisthana (JUFDIKES)
Vol 6
, No 1
(2023)
Bronchopneumonia is an infection that affects the airways entering the lungs, also known as the bronchi. Symptoms that arise are cough, fever, restlessness, dyspnea, rapid and shallow breathing, and cyanosis around the nose and mouth. Physiotherapy measures in the form of breathing exercises (deep breathing exercise and coughing) and postural drainage are appropriate interventions for this condition. The aim of the research was to determine the effect of physiotherapy interventions in the form o...
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Process Clearance In & Clearance Out Millennium 806 Use the Application B-SIM by PT. Putra Samudera Inti in the Area Free Trade Zone Batam
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 1
, No 4
(2023)
PT. Putra Samudera Inti Batam carried out the arrival and departure process for the Millennium 806 ship using the B-SIM application in the free trade zone area. Apart from that, the author also wants to know more about the process regarding the arrival and departure of the Millennium 806 ship using the B-SIM application. The method used in data collection is the field research method which consists of observation and interviews and the library research method. According to the process, the agent...
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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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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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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