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Analisis Penerimaan Retribusi Pasar Alok Dalam Meningkatkan Pendapatan Asli Daerah Kabupaten Sikka (Studi Kasus Pada Dinas Perdagangan, Koperasi Dan UKM)
Populer: Jurnal Penelitian Mahasiswa
Vol 2
, No 3
(2023)
This study aims to analyze the level of growth, level of effectiveness and contribution of alok market retribution revenue in increasing the local revenue of Sikka Regency. The method used in this research is a quantitative method. Data collection techniques using observation, interviews and documentation. Data analysis techniques using growth rate analysis, effectiveness level analysis, and contribution analysis. The results of this study indicate that the growth rate of alok market retribution...
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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
Web Phishing Classification using Combined Machine Learning Methods
Journal of Computing Theories and Applications
Vol 1
, No 1
(2023)
Phishing is a crime that uses social engineering techniques, both in deceptive statements and technically, to steal consumers' personal identification data and financial account credentials. With the new Phishing machine learning approach, websites can be recognized in real-time. K-Nearest Neighbor(KNN) and Naïve Bayes (NB) are popular machine learning approaches. KNN and NB have their own strengths and weaknesses. By combining the two, deficiencies can be covered. So this study proposes to comb...
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19 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
Pelatihan Penjernihan Minyak Jelantah Pada Ibu PKK Desa Labuhan Sumbawa, Kec. Labuhan Badas, Kabupaten Sumbawa
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Vol 2
, No 3
(2023)
Used cooking oil is oil that has decomposed fatty acids at certain limits so that it becomes unfit for use. Used cooking oil is obtained from the process of cooking or heating food using oil repeatedly and at high temperatures. The behavior that is often carried out by the community is that after being used repeatedly, the used cooking oil will be immediately dumped into the ground, ditches, pipelines or waters. This can result in environmental pollution in the form of death of aquatic biota, or...
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Analisis Faktor-Faktor Yang Mempengaruhi Pendapatan Pedagang Di Pasar Alok Maumere
Populer: Jurnal Penelitian Mahasiswa
Vol 2
, No 3
(2023)
The purpose of this research is to identify and analyze the factors that affect the income of traders in Alok Maumere Market. The analytical method used in this study is an associative-specific method with a quantitative approach. The sample in this study were 84 respondents. The data used are primary data and secondary data. Retrieval of data using observation, interviews, and questionnaires. While the data analysis technique is a multiple linear regression analysis technique. The results of th...
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PERAN BUDAYA ORGANISASI, GAYA KEPEMIMPINAN, DAN KOMUNIKASI ATAS PRODUKTIVITAS PEGAWAI PERUSAHAAN GALANGAN KAPAL
Probisnis
Vol 16
, No 1
(2023)
Perusahaan yang unggul adalah perusahaan yang dapat mengoptimalkan kapasitas yang tersedia. Melihat seberapa jauh permasalahan budaya organisasi, gaya kepemipinan dan komunikasi secara paralel atau simultan berpengaruh pada produktivitas pegawai di PT Daya Radar Utama adalah tujuan penelitian ini. Populasi perusahaan adalah 335 pekerja dengan 78 responden yang dipergunakan sebagai sampel, dan pengumpulan data menggunakan kuesioner. Hipotesis diuji dengan uji t dan F. Baik budaya organisasi, gaya...
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