Margaretta, Desi
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IOT PEMANFAATAN INTERNET OF THINGS PADA SMARTHOME DENGAN MODEL SIMULASI PROTOTYPE: IOT Kurnia, Eka; Pandia, Mahdianta; Sembiring, Berti Sari Br; Margaretta, Desi
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 7 No. 1 (2024): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jikomsi.v7i1.2728

Abstract

Internet of Things has been a recent focus in technology discussion. This tecnology enables every devices we own to connect to the internet, allowing remote control throught smartphones or even voice commands. The development of iot extends beyond large industries like power grids and factories, reaching into everyday household electronics. For instance, light can now be connected to the internet. The final project involves designing and creating an internet controlled relay system with comamands sent throught a telegram bot. This project aims to implement iot tecnology in a simple and affordable manner. The control system utilizes the nodeMCU microcontroller with a two -channel relay output to remote turn light on and off via telegram.
Perangkat Lunak Perhitungan Hereditas Pada Tumbuhan Margaretta, Desi
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 7 No. 1 (2024): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jikomsi.v7i1.2733

Abstract

Deadlock Metode codominant marker data is often carried out with the assumption that the marker is dominant, an approach that can oversimplify results and lead to erroneous conclusions. The aim of this paper is to provide a practical guide to conducting codominant data analysis and selecting appropriate software. We provide an overview of the computational methods and basic principles required for statistical analysis of codominant molecular markers to evaluate genetic diversity and molecular characterization of germplasm collections. Each software package is evaluated by analyzing the same set of data. Differences between parameters are detailed, and comments are provided regarding the software output. This paper aims to provide a better understanding of the differences among available software packages, so that researchers can make a choice that suits their codominant genetic analysis needs. spoken in English.