Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Building of Informatics, Technology and Science BEES: Bulletin of Electrical and Electronics Engineering
Irma Salamah
Politeknik Negeri Sriwijaya, Palembang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Automated Feeding Fish Menggunakan Raspberry Pi, Webcam dan Sensor Suhu Berbasis IoT Irma Salamah; Ciksadan Ciksadan; Nadila Savira Makarau
BEES: Bulletin of Electrical and Electronics Engineering Vol 1 No 1 (2020): BESS July 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.493 KB)

Abstract

The problem that often occurs in fish feeding is when the owner travels far away. With the Internet of Things technology can facilitate the maintenance of fish in the form of automatic feeding tools that can facilitate the owner. In this study, the author will build tools and applications that can provide fish feed automatically. This tool was built with the Raspberry Pi as its main controller which is equipped with a servo motor as an opening for fish feed, a temperature sensor to detect aquarium temperature, an ultrasonic sensor as a detection of feed residue, aquarium monitoring using a webcam, a relay as a controller for water filters and water heaters in the aquarium. Overall this tool is associated with Android-based applications. When feeding fish can be done in two ways, namely based on a schedule that has been set in the application and directly by pressing the button on the application. In the process of making this tool utilizing the Python programming language, while the application is built with Android Studio with Java and XML programming languages. Overall integration between tool and application data is sent to the server by storing the database in MySQL. It is hoped that this research can work functionally to facilitate fish feeding activities.
Perancangan Alat Identifikasi Wajah Dengan Algoritma You Only Look Once (YOLO) Untuk Presensi Mahasiswa Irma Salamah; M. Redho Ali Said; Sopian Soim
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4399

Abstract

Presence is an important thing in educational world especially higher education. One of students’ success keys is in their presence because it has correlation to the learning quantity carried out by a college student. Some colleges whose learning conducted face to face still use conventional way by using attendant list sheet until this system is felt less effective in the middle of digitalization development marked by the increase of technology usage. Face recognition attendance technology is a technology which can be adapted from one of artificial intelligence science namely machine learning. Machine learning with deep learning branch becomes the solution which eases human’s work. In its process, face recognition requires certain accurate face detection with certain algorithm. In this research, the method used was You Only Look Once (YOLO) algorithm where to follow some research which had been conducted previously it has high accuracy in face prediction. The test results obtained an average accuracy of 0.9793 by paying attention to parameters such as lighting and real-time sending to the website. Through this research, it is hoped that the attendance process will be more effective and can be monitored by lecturers.
Rancang Bangun Alat Pemisah Buah Kopi Berdasarkan Tingkat Kematangan Menggunakan Sensor TCS3200 Berbasis Android Irma Salamah; Mega Muliawati; Mohammad Fadhli
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.1901

Abstract

The processing of coffee before it can be drunk goes through a long process, namely harvesting coffee fruits that have matured either by machine or by hand, then processing coffee fruits and drying before they become spindle coffee. Before the roasting process, the coffee fruit is chosen first to be ripe in order to produce the last result of the best coffee process. After the coffee fruit is selected, the next process is stripping the ripe coffee fruit in order to speed up the post-harvest process of the coffee fruit. Harvesting will also affect the quality and taste of coffee, harvesting is usually done when the coffee fruit that has matured physiologically which is characterized by the color of the fruit skin becomes a red color. At the level of maturity of coffee fruits still occurs not simultaneously so that the harvesting process takes a long time. When the harvest period comes, the separation of coffee fruits is still mostly done manually by picking them in a simultaneous way. This simultaneous separation of coffee fruits makes the mixing of coffee fruits that are still raw, half-ripe, and already ripe, causing poor taste quality, that's why the author got the idea to make a tool that can make the coffee harvesting process simpler and more efficient, namely a coffee fruit separator tool based on maturity level aims to find out how the tool performs in detecting coffee fruits based on maturity levels and how performance from a coffee fruit peeler. This tool can produce separate coffee fruits based on the degree of maturity, namely in the category of ripe, half-ripe and unripe. When coffee fruits that are still not separated between ripe, half-ripe and raw, are placed on the conveyor, the TCS3200 color sensor will detect the coffee fruit according to its color. The coffee fruit will be sorted automatically into a container that has been provided which is controlled by a servo motor that has been pre-programmed by Arduino. After the data from the coffee fruit separator has been read by the sensor, the Arduino will send the data to android via bluetooth connection. Furthermore, red coffee fruits or coffee fruits in the ripe category will proceed to the stripping stage. At the stripping stage, ripe coffee fruits will be peeled on a peeling machine controlled by a servo motor
Co-Authors Ciksadan Ciksadan M. Redho Ali Said Mega Muliawati Mohammad Fadhli Nadila Savira Makarau Sopian Soim