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All Journal Jurnal Simetris Kompak : Jurnal Ilmiah Komputerisasi Akuntansi JURNAL MEDIA INFORMATIKA BUDIDARMA INOVTEK Polbeng - Seri Informatika Jurnal Komtika (Komputasi dan Informatika) International Journal of Economics, Business and Accounting Research (IJEBAR) Jurnal Informatika Ekonomi Bisnis Jatilima : Jurnal Multimedia Dan Teknologi Informasi Budimas : Jurnal Pengabdian Masyarakat International Journal of Advances in Data and Information Systems Jurnal Abdidas Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknologi Informasi dan Komunikasi Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Journal of Engineering, Electrical and Informatics (JEEI) Digital Transformation Technology (Digitech) JURNAL AKUNTANSI DAN BISNIS Community: Jurnal Pengabdian Pada Masyarakat Jurnal Informatika Ekonomi Bisnis SmartComp Journal of Technology Informatics and Engineering Jurnal Ilmiah Sistem Informasi International Journal of Information Engineering and Science Jurnal Ilmiah Informatika dan Komputer Jurnal Komtika (Komputasi dan Informatika) Journal of Engineering, Electrical and Informatics
Agustinus Budi Santoso
Universitas Sains Dan Teknologi Komputer
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : Journal of Engineering, Electrical and Informatics

 1 
EMPLOYEE PAYMENT COMPUTERIZATION SYSTEM AT PT REJEKI JAYA ABADI Dina Siska Rahmawati; Agustinus Budi Santoso
Journal of Engineering, Electrical and Informatics Vol. 1 No. 2 (2021): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v1i2.894

Abstract

In line with the development of science and computer technology and facing the current era of information technology, it is necessary to prepare human resources who have high quality, expertise, and competitiveness in facing competition in the field of work. In the information era, technology is increasingly sophisticated so that giving or receiving information will be faster. One of the tools that can support information technology is a computer. The computer is a tool for the achievement of a computerized system design, the existence of a computer is needed to strengthen its existence in helping routine human activities. At PT Rejeki Jaya Abadi Semarang where the author conducted a survey, he had difficulties because he still used the manual method of payroll. The problems or obstacles faced by PT Rejeki Jaya Abadi Semarang are the more employees, the more difficult it is to calculate employee salaries because manual calculations will take a long time. For this reason, in this final project the author tries to provide a new system, which is expected to reduce existing deficiencies by changing some of the old systems into modern systems so that the payroll process can be carried out as efficiently as possible. The development of this new system does not change the development of existing procedures but displays it in a new format in the system, namely Microsoft Visual Basic (Vb).
DEEP LEARNING ALGORITHM FOR CONNECTING SCIENTIFIC RECORDS AND SOCIAL PLATFORM Budi Santoso; Agustinus Budi Santoso; Eko Siswanto
Journal of Engineering, Electrical and Informatics Vol. 2 No. 2 (2022): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i2.913

Abstract

In the healthcare industry, professionals develop big amounts of disorganized data. The complexity of this data and the loss of computational capability lead to delays in the investigation. Nevertheless, with the advent of Deep Learning algorithms and connection to computing power such as Graphic Processor Units (GPUs) and Tensor Processing Units (TPUs), text and image processing has become usable. Deep Learning (DL) data bring about a big outcome in Natural Language Processing (NLP) and computer perception. The main purpose of this study is to build an undivided approach that can relate social platforms, literature, and scientific records to develop an approach to medicinal education for the public and experts. This study focuses on NLP in the healthcare industry and compiles data by Electronic Medical Records (EMR), medical literature, and social platforms. The framework proposed in this study is one for connecting social platforms, medical literature, and Electronic Medical Records scientific records using Deep Learning algorithms. Linking data sources requires defining the relationships between them, and finding concepts in medical texts. The National Library of Medicine (NLM) introduced the Unified Medical Language System (UMLS) and uses this system as the basis for the proposed system. The dynamic nature of a social platform can be recognized and supervised methodologies can be applied under supervision to develop conception. Named entity Recognition (NER) enables the active eradication of data or individuals by the pharmaceutical literature.
Co-Authors Adriana, Myra Afriandi, Galih Agus Priyadi Ahmad Ashifuddin Aqham Ahmad Zainudin Andik Prakasa Hadi Andriana, Myra Arta Armilda, Siska Barreto, Cesario Big Greogory Kaitelapatay Budi Santoso Budi Santoso Danang Danang Daniel Rudjiono Dewi Widyaningsih Dina Siska Rahmawati Dwi Setiawan Edwin Zusrony Edy Jogatama Purhita Eko Siswanto Endang Kustami Ferdinandus, Wiesje Frenny Silvia Pormes Galih Afriandi Greget Widhiati Haryo Kusumo Hendriyani, Ida Hetharia, Charliany Ida Hendriyani Imaliya, Tri Indra Ava Dianta Iriene Surya Rajagukguk Ivan Permana Jarot Dian Susatyono Jeni Karay Jentoro Wicaksono Juriyanto Kaitelapatay, Big Greogory Kaitelapatay, S.Kom., M.Kom., Big Greogory Karay, Jeni Komansilan, Reinhard Kristy Isnaningtyas Kuncoro, Wreda Agung Kusumajaya, Robby Andika Kusumaningtyas, Dhevi Dadi Kusumo, Haryo Lina, Tirsa Nina Lukman Santoso Lutfi Anggraini Luthfy Purnanta Anzie Magriyanti, Arie Atwa Matheus Supriyanto Rumetna Maulan, Puteri Anindya Maya Utami Dewi Maya Utami Dewi Maya Utami Dewi Maya Utami Dewi, Maya Utami Muh Sabiq Myra Andriana Nugrahanning Esa Pratiwi Permana, Ivan Priyadi Priyadi Puteri Anindya Maulan Raden Mohamad Herdian Bhakti Reinhard Komansilan Reni Veliyanti S Siswanto Saflesa, Susance Sindhu Rakasiwi Siswanto Siswanto Siti Kholifah Suprapti Syahri al faiz Tamu Ama, Aldian Umbu Tantik Sumarlin . Tirsa Ninia Lina Wicaksono, Jentoro Widya Ariyani Yuli Fitrianto