scholarly journals Human-Computer/Device Interaction

Author(s):  
Dagmawi Lemma Gobena
2020 ◽  
Author(s):  
Mei tri yennita azurah

AbstrakPerangkat sumber daya manusia adalah orang yang menggunakan atau mengoperasikan sebuah perangkat komputer. Dengan kata lain, perangkat sumber daya manusia adalah seorang manusia yang memiliki kemampuan dalam menggunakan komputer. Perangkat sumber daya manusia juga sering disebut sebagai perangkat intelektual yang memakai dan menjelajahi kemampuan perangkat keras ataupun perangkat lunak. Perangkat sumber daya manusia menjadi bagian terpenting dalam menjalankan atau mengoperasikan sebuah perangkat komputer. Istilah yang digunakan untuk manusia yang berhubungan dengan komputer adalah Brainware. Brainware terdiri dari programmer, system analis, Administrator, Teknisi Hardware, teknisi jaringan dan web master.Kata Kunci: Perangkat sumber daya manusia, Programer, Sistem AnalisAbstractHuman resource devices are people who use or operate a computer device. In other words, a human resource device is a human who has the ability to use computers. Human resource devices are also often reffered to as intellectual devices that use and explore the capabilities of hardware or software. Human resource devices become the most important part in running or operating a computer device. The term used for humans related to computers is brainware. Brainware consists of programmers, system analysts, administrators, hardware technicians, network technicians, and web master.Keywords: Human resource devices, Programmers, System analysts


2020 ◽  
Author(s):  
Nadila Putri Ayu

AbstrakPerangkat sumber daya manusia menjadi bagian terpenting dalam menjalankan atau mengoperasikan sebuah perangkat komputer. Manusia merupakan suatu elemen dari sistem komputer yang merancang bagaimana suatu mesin dapat bekerja sesuai dengan hasil yang diinginkan. Istilah yang digunakan untuk manusia yang berhubungan dengan komputer adalah Brainware. Brainware adalah semua personil atau tenaga kerja di bidang komputer, yakni yang terlibat dalam kegiatan pembentukan sistem komputerisasi maupun yang menangani dan mengawasi langsung bagian pengolahan data berbantuan komputer. Brainware terdiri dari Programer, Sistem Analis, Administrator, Teknisi Hardware, Teknisi Jaringan dan Web Master.Kata Kunci : Perangkat Sumber Daya Manusia AbstractHuman resource devices become the most important part in running or operating a computer device. Humans are an element of a computer system that designs how a machine can work in accordance with the desired results. The term used for humans related to computers is Brainware. Brainware is all personnel or workers in the computer field, that is, those involved in the formation of computerized systems as well as those who handle and directly supervise computer-aided data processing. Brainware consists of Programmers, Systems Analysts, Administrators, Hardware Technicians, Network Technicians and Web Masters.Keywords: Human resource device


2020 ◽  
Author(s):  
Fahriza Irfansyah

Perangkat sumber daya manusia menjadi bagian terpenting dalam menjalankan atau mengoperasikan sebuah perangkat komputer. Manusia merupakan suatu elemen dari sistem komputer yang merancang bagaimana suatu mesin dapat bekerja sesuai dengan hasil yang diinginkan. Istilah yang digunakan untuk manusia yang berhubungan dengan komputer adalah Brainware. Brainware adalah semua personil atau tenaga kerja di bidang komputer, yakni yang terlibat dalam kegiatan pembentukan sistem komputerisasi maupun yang menangani dan mengawasi langsung bagian pengolahan data berbantuan komputer. Brainware terdiri dari Programer, Sistem Analis, Administrator, Teknisi Hardware, Teknisi Jaringan dan Web Master. Human resource devices become the most important part in running or operating a computer device. Humans are an element of a computer system that designs how a machine can work in accordance with the desired results. The term used for humans related to computers is Brainware. Brainware is all personnel or workers in the computer field, that is, those involved in the formation of computerized systems as well as those who handle and directly supervise computer-aided data processing. Brainware consists of Programmers, Systems Analysts, Administrators, Hardware Technicians, Network Technicians and Web Masters.


2020 ◽  
Vol 23 (4) ◽  
pp. 25-29
Author(s):  
Sangeun Oh ◽  
Ahyeon Kim ◽  
Sunjae Lee ◽  
Kilho Lee ◽  
Dae R. Jeong ◽  
...  

Author(s):  
Luca Trolese ◽  
Thomas Faber ◽  
Alexander Gressler ◽  
Johannes Steinfurt ◽  
Judith Stuplich ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3087
Author(s):  
Sandi Ljubic ◽  
Franko Hržić ◽  
Alen Salkanovic ◽  
Ivan Štajduhar

In this paper, we investigate the possibilities for augmenting interaction around the mobile device, with the aim of enabling input techniques that do not rely on typical touch-based gestures. The presented research focuses on utilizing a built-in magnetic field sensor, whose readouts are intentionally affected by moving a strong permanent magnet around a smartphone device. Different approaches for supporting magnet-based Around-Device Interaction are applied, including magnetic field fingerprinting, curve-fitting modeling, and machine learning. We implemented the corresponding proof-of-concept applications that incorporate magnet-based interaction. Namely, text entry is achieved by discrete positioning of the magnet within a keyboard mockup, and free-move pointing is enabled by monitoring the magnet’s continuous movement in real-time. The related solutions successfully expand both the interaction language and the interaction space in front of the device without altering its hardware or involving sophisticated peripherals. A controlled experiment was conducted to evaluate the provided text entry method initially. The obtained results were promising (text entry speed of nine words per minute) and served as a motivation for implementing new interaction modalities. The use of neural networks has shown to be a better approach than curve fitting to support free-move pointing. We demonstrate how neural networks with a very small number of input parameters can be used to provide highly usable pointing with an acceptable level of error (mean absolute error of 3 mm for pointer position on the smartphone display).


2020 ◽  
Vol 23 (2) ◽  
pp. 124-132
Author(s):  
David J. Horvath ◽  
Dennis W. Horvath ◽  
Jamshid H. Karimov ◽  
Barry D. Kuban ◽  
Takuma Miyamoto ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document