Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Adhitio Satyo Bayangkari Karno"'
Autor:
Widi Hastomo, Adhitio Satyo Bayangkari Karno, Masriyanda Masriyanda, Ellya Sestri, Aqwam Rosadi Kardian, Nur Azis, Ignatius Joko Dewanto, Ahmad Rasyiddin, Aries Sundoro, Nada Kamilia
Publikováno v:
Jurnal Teknik Elektro, Vol 14, Iss 2, Pp 67-75 (2024)
The ability to analyze predictions marks something going up or down, as well as the level of possible risk taken into account by much-needed stock investors. In a study, this analysis of risk and correlation between shares was calculated using the me
Externí odkaz:
https://doaj.org/article/23d9f8b6cacd41938915e7a3e18a7ca0
Autor:
Yayat Sujatna, Adhitio Satyo Bayangkari Karno, Widi Hastomo, Nia Yuningsih, Dody Arif, Sri Setya Handayani, Aqwam Rosadi Kardian, Ire Puspa Wardhani, L.M Rasdi Rere
Publikováno v:
Knowledge Engineering and Data Science, Vol 6, Iss 2, Pp 215-230 (2023)
The development of the Islamic banking industry in Indonesia has become a significant concern in recent years, with rapid growth in the number of banks operating based on Sharia principles. To face emerging challenges and opportunities, a deep unders
Externí odkaz:
https://doaj.org/article/c5cf9157c03c44bd829a75b46cf8715e
Publikováno v:
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, Vol 11, Iss 2, Pp 131-139 (2022)
Indonesia berkomitmen menurunkan emisi gas rumah kaca (GRK) melalui skema nationally determined contribution (NDC). Target yang hendak dicapai untuk menurunkan emisi GRK yaitu 29% melalui skema business as usual (BAU) atau 41% dengan bantuan internas
Externí odkaz:
https://doaj.org/article/9274dfe4b065498fbcc8597f1a280ba0
Autor:
Nurdina Widanti, Tri Surawan, Adhitio Satyo Bayangkari Karno, Aji Digdoyo, Nani Kurniawati, Rachmat Nursalam, Harini Agusta
Publikováno v:
Jurnal Teknologi. 10:60-71
Stock prediction and risk level are important for investors, but this ability can only be done by experts and takes a long time. The rapid development of technology today demands that decisions be made quickly and precisely. Deep Learning (DL) is one
Autor:
Adhitio Satyo Bayangkari Karno, Widi Hastomo, Indra Sari Kusuma Wardhana, Sutarno Sutarno, Dodi Arif
Publikováno v:
Insearch: Information System Research Journal. 2:35-45
To supply the world's food needs in the midst of the existing food crisis, farmers urgently need to expand crop production. By establishing it simple to recognize the kind of plant disease so that earlier control efforts could be conducted, farmers'
Autor:
null Widi Hastomo, null Adhitio Satyo Bayangkari Karno, null Sudjiran, null Dodi Arif, null Eka Sally Moreta
Publikováno v:
Infotekmesin. 13:314-321
A more quantifiable perspective is assuming the role of mechanistic management in an effort to enhance business based on its capacity to transform data into knowledge and insight. The industry has not completely supported its business strategy also w
Publikováno v:
Jurnal Nasional Teknik Elektro dan Teknologi Informasi. 11:131-139
Indonesia berkomitmen menurunkan emisi gas rumah kaca (GRK) melalui skema nationally determined contribution (NDC). Target yang hendak dicapai untuk menurunkan emisi GRK yaitu 29% melalui skema business as usual (BAU) atau 41% dengan bantuan internas
Publikováno v:
Jurnal Teknologi. 9:23-31
Penyakit tumor di Indonesia menduduki tingkat kematian terbesar ke-5 setelah diabetes, stroke, ginjal dan darah tinggi. Kurangnya penanganan dini, jumlah paramedis dan peralatan yang minim adalah penyebab utama tingginya tingkat kematian. Artificial
Autor:
Sudjiran Sudjiran, Eka Sally Moreta, Dodi Arif, Sutarno Sutarno, Adhitio Satyo Bayangkari Karno, Widi Hastomo
Publikováno v:
Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton. 8:579-591
Permasalahan utama dalam penelitian ini adalah ketimpangan data masukan menghasilkan dampak negatif yang signifikan terhadap hasil prediksi dari model Deep Neural Network (DNN). Kemampuan klasifikasi DNN sangat akurat hanya untuk dataset yang berimba
Autor:
Widi Hastomo, Adhitio Satyo Bayangkari Karno, Dody Arif, Indra Sari Kusuma Wardhana, Nada Kamilia, Rudy Yulianto, Aji Digdoyo, Tri Surawan
Publikováno v:
Insearch: Information System Research Journal. 3
Medical image processing approaches for detecting brain cancers are still primarily done manually, with low accuracy and taking a long period. Furthermore, this task can only be done by professionals with a high degree of medical competence, and the