Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 741–750 dari 1637 artikel
ANALISIS KEKUATAN MEKANIK PELEBURAN ALUMINIUM PISTON BEKAS SEBAGAI MATERIAL KOMPONEN KAKI PALSU
As Ari, Muh Arizal
; As Ari, Muh Arizal
; Ardiansyah, Luthfy
; Tua Gorat, Vinsensius Hotmanogu
; Al Hassany, Ibnu Rosyid
Perwira Journal of Science & Engineering (PJSE)
Vol 3
, No 2
(2023)
Kaki palsu merupakan salah satu alat bantu yang direkayasa sebagai peniru fungsi dari kaki pada umumnya. Produk kaki palsu yang beredar di Indonesia mayoritas produk impor dan terbuat dari material stainless steel, namun harga dan biaya produksi manufakturnya relatif tinggi. Berdasarkan pemaparan tersebut, perlu diinisiasi material lain agar kaki palsu lebih terjangkau. Salah satu material yang bisa digunakan ialah aluminium. Pada penelitian ini akan dilakukan studi kekuatan mekanis peleburan al...
Sumber Asli
Google Scholar
DOI
2 Sitasi
PENGARUH PERENCANAAN PAJAK,BEBAN PAJAK TANGGUHAN,DAN KUALITAS LABA TERHADAP NILAI PERUSAHAAN: Studi Empiris pada Perusahaan Property & Real Estate yang Terdaftar di Bursa Efek Indonesia Periode 2017-2021
Perwira Journal of Economics and Business
Vol 3
, No 2
(2023)
This research aims to prove empirically regarding the Effect of Tax Planning, Deferred Tax Expenses, Earnings Quality on Firm Value. In this study the independent variables used were tax planning, deferred tax expense and earnings quality, while the dependent variable used was firm value. This research was conducted by taking a sample of property & real estate sector companies listed on the Indonesia Stock Exchange (IDX) in 2016-2020. The type of data used in this research is quantitative da...
Sumber Asli
Google Scholar
DOI
1 Sitasi
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
28 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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
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...
Sumber Asli
Google Scholar
DOI
32 Sitasi
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...
Sumber Asli
Google Scholar
DOI