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Pendeteksi Warna Berbasis Arduino pada Aplikasi Deteksi Kematangan Buah-Buahan Atthariq, Atthariq; Febriansyah, Aan; Salfikar, Inzar
Manutech : Jurnal Teknologi Manufaktur Vol. 16 No. 02 (2024): Manutech: Jurnal Teknologi Manufaktur
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/manutech.v16i02.375

Abstract

This research leads to the designing of the main color detector Red, Green Blue (RGB) which is applied to the detection of fruit ripeness. The purpose of this research is to help fruit farmers who wants to ensure the maturity condition of the fruits to be harvested. This research uses a scientific approach with the scientific concept of the Closest Pair Point algorithm and the use of the TS3200 color sensor. Closest Pair Point Algorithm is an algorithm that solves the problem of finding the shortest distance between a set of points in a two-dimensional plane. The TCS3200 color sensor is a converter programmed to convert color into a frequency composed of a silicon photodiode configuration and a current-to-frequency converter in a single monolithic CMOS IC. The output of this sensor is a square wave (duty cycle 50%) frequency which is directly proportional to the light intensity (irradiance). The results of the censorship process in the form of RGB numeric values ??will be compared with the original RGB values ??of the maturity provisions of a type of fruit, so that it can provide a resume for determining whether the fruit is ripe or not. The accuracy values ??obtained range between 73,87% - 93,12%.
Loker Penyimpanan Kunci Laboratorium Otomatis dengan RFID Berbasis Raspberry Pi Rizki Faulianur; Inzar Salfikar; Ahyar Mustafa
J-Innovation Vol. 14 No. 1 (2025): Jurnal J-Innovation
Publisher : Politeknik Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55600/jipa.v14i1.327

Abstract

In Vocational colleges, the high activity of students in the laboratory for practical activities, research, and others makes the use of the laboratory more optimal so that it is difficult to monitor its use. This results in a lack of information on the track record of laboratory use. So if the key and laboratory equipment are lost, it is very difficult to identify. The laboratory key security system based on Radio Frequency Identification (RFID) and Raspberry Pi is one solution that can be used for a security system compared to the conventional physical locker key system. This system uses Raspberry Pi as the main controller to control the lock mechanism on the locker. This system aims to provide convenience and security in the use of lockers using miniature computing technology. This system consists of Raspberry Pi as a control center, solenoid lock door to move the lock mechanism, LCD screen to display information to users, and RFID as a user authentication method before opening the locker. This tool is also able to inform the day and time of taking the locker key recorded on the website. By using this system, users can easily access the locker and can more easily find out the track record of taking the laboratory key. The results of the study, from 7 users registered in the system, all of them successfully opened the locker with a success rate of 100%. The response time to open and close the locker door is a maximum of 60 seconds. Users who access the locker can be recorded on the website regarding the date and time of locker access.
Kontrol Nutrisi Tanaman Hidroponik Berbasis Monitoring Internet of Things Rouhillah, Rouhillah; Salfikar, Inzar; Ichan, Maulidi
Elektron : Jurnal Ilmiah Volume 14 Nomor 2 Tahun 2022
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.14.2.306

Abstract

Hydroponics is a way of farming that does not use soil, but only uses water that contains nutrients. The growth of hydroponic plants can be influenced by various factors, one of which is a lack of water nutrition in hydroponic plants. Therefore, this study aims to create a system that functions to control water nutrition, as well as the availability of sufficient water in hydroponic reservoirs. This control process uses NodeMCU esp8266 and processes sensor data and then sends it to firebase which will be displayed to Android with Internet of Thing (IoT) technology. If the nutritional condition being monitored is reduced, this nutrition control device will receive input from the sensor to add nutrients automatically. The addition of nutrients uses an on-off control system, when the TDS sensor reads the water nutrients are reduced the nutrient pump will be on until it reaches the initial nutrient setpoint, then the nutrient pump will be off. The result of reading sensor data obtains the percentage error for the Total Dissolve Solid (TDS) sensor with a comparison of TDS meter of 5.746%.
Implementasi Flow Sensor untuk Monitoring Debit Air pada Proses Pengisian Air Galon Air pada Proses Pengisian Air Galon Rouhillah; Inzar Salfikar; Andrian Maulana
J-Innovation Vol. 14 No. 1 (2025): Jurnal J-Innovation
Publisher : Politeknik Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55600/jipa.v14i1.333

Abstract

Automatic monitoring of water volume during gallon filling is a technology increasingly important in the water filling industry, particularly for ensuring accuracy and efficiency in the distribution process. This tool aims to monitor the water flow rate during the filling of mineral water gallons using a Flow Sensor. An Arduino Uno serves as the controller for this system. When the water pump is activated to fill the gallon, the flow sensor measures the amount of water flowing through it by generating pulses, which are then sent to the Arduino Uno for processing and calculation of the water flow rate. The results of these calculations are displayed on an LCD screen, stored in EEPROM memory for long-term data recording, and can be monitored remotely via a smartphone. This gallon water filling tool has a system accuracy percentage of 98%.