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 11–15 dari 15 artikel
Seleksi Fitur Klasifikasi Penyakit Diabetes Menggunakan Particle Swarm Optimization (PSO) Pada Algoritma Naive Bayes
Jurnal Elektronika dan Komputer
Vol 1
, No 1
(2020)
Diabetes is a serious chronic disease that occurs because the pancreas does not produce enough insulin (a hormone that regulates blood sugar or glucose), or when the body cannot effectively use the insulin it produces. WHO data shows that the incidence of non-communicable diseases in 2004 reached 48 , 30% is slightly higher than the incidence rate of infectious diseases, namely 47.50% [1]. According to the Ministry of Health in 2012 diabetes caused 1.5 million deaths. Some Indonesian people, thi...
Google Scholar
DOI
Penerapan Algoritma Random Forest Untuk Menentukan Kualitas Anggur Merah
EBISNIS : JURNAL ILMIAH EKONOMI DAN BISNIS
Vol 9
, No 1
(2020)
Abstract
In this study that was used as the object of research in classifying red wine based on the quality influenced by each red wine or red wine based on the content of each type of wine, from each attribute containing the composition in the wine seen which attributes most affect the quality of red wine, so that it will be known ingridents that can improve the quality of the wine, in this study was carried out by the application of Machine learning by comparing three algorithms of mining data...
Google Scholar
DOI
41 Sitasi
PENGARUH PROFITABILITAS, UKURAN PERUSAHAAN, DAN LEVERAGE TERHADAP NILAI PERUSAHAAN (Studi Empiris: Perusahaan Perbankan yang Terdaftar di Bursa Efek Indonesia Tahun 2013 – 2016)
Jurnal Akutansi dan Sistem Teknologi Informasi
Vol 14
, No 3
(2019)
This study aims to determine whether there is a partial influence Profitability, Company Size and Laverage to Company Value. The population in this study is a banking company listed on the Indonesia Stock Exchange (IDX) that has been audited and continuously publish financial statements for five periods. Technique of sampling this research use purposive sampling, hence obtained sample of research counted 31 company for every year, so that data obtained as 124 observation data. Data analysis tech...
Sumber Asli
Google Scholar
PENGARUH KOMPETENSI KARYAWAN, DUKUNGAN TOP MANAJEMEN, DAN PENDIDIKAN DAN PELATIHAN TERHADAP PEMANFAATAN SISTEM INFORMASI AKUNTANSI DALAM PELAPORAN PERPAJAKAN
Jurnal Akutansi dan Sistem Teknologi Informasi
Vol 14
, No 3
(2019)
This study aims to determine and analyze the influence of employee competence, top management support and education and training on the utilization of accounting information systems in tax reporting. Sampling method using purposive sampling method. Respondents sampled in this study amounted to 98 employees. Data analysis methods used in this research are: 1) instrument test (validity and reliability test), 2) classical assumption test (normality test, heteroscedasticity, multicollinearity, and a...
Sumber Asli
Google Scholar
PENGARUH RETRIBUSI TERMINAL DAN RETRIBUSI PELAYANAN PASAR TERHADAP PENDAPATAN ASLI DAERAH KABUPATEN KARANGANYAR
Jurnal Akutansi dan Sistem Teknologi Informasi
Vol 14
, No 4
(2019)
Locally-generated revenue is all revenue from regions originating from region itself. Among the locally-generated revenue sources are terminal retribution and market service retribution. This study aims to determine the effect of terminal retribution and market service retribution on local revenue in Karanganyar Regency. The population of this study is all the monthly financial report data from the Karanganyar District Regional Finance Agency in 2013-2017 (5 years). The sample used in this study...
Sumber Asli
Google Scholar