Article Per Year (5 Year)
p-Index From 2021 - 2026
2.405
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Poli Rekayasa Elektron Jurnal Ilmiah ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence International Journal of Advanced Science Computing and Engineering International Journal of Wireless And Multimedia Communications PERFECT: Journal of Smart Algorithms SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi
Lifwarda Lifwarda
Politeknik Negeri Padang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
Internet of Things for Monitoring and Controlling Ammonia Gas and Temperature in Chicken Farms Lifwarda Lifwarda; Azra Mawandri; Erin Aulia Rahma; Rostam Ahmad Efendi
International Journal of Wireless And Multimedia Communications Vol. 2 No. 1 (2025): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jowim.v2i1.65

Abstract

This research aims to develop a tool to monitor and control temperature and ammonia gas levels in chicken farms. Ammonia gas (NH3) is an indicator of pollution that is harmful to the health of chickens, humans, and the environment. Ideal ammonia levels in cages should not exceed 30 ppm, while the safe threshold for chickens and humans is 25 ppm. High temperatures can increase ammonia levels, thus negatively affecting the health and productivity of broilers. The developed tool uses an MQ135 sensor to detect ammonia gas levels and a DHT22 sensor to measure temperature and humidity. The data obtained will be processed by ESP32 as a microprocessor. The measurement results are displayed on the LCD, and the tool is equipped with a WiFi module to connect it to the internet. A DC fan serves as an automatic control system to keep the temperature and ammonia gas levels within safe limits. Through an application built with MIT App Inventor, users can access real-time temperature data and ammonia gas levels. With this system, it is expected that chicken health and farm productivity can increase, and the risk of pollution due to ammonia gas can be minimized. This research is expected to be a reference for the development of monitoring and control technology in the livestock sector, providing effective solutions for farmers to create a healthier environment for chickens.  
Analisis Presisi Aliran Komunikasi Data pada Proses Konversi Analog ke Digital dalam Sistem Monitoring pH Air Berbasis Mikrokontroler Berarsitektur 8-Bit Fauzan, Reski Yulian; Lifwarda, Lifwarda; Wahyudi, Ricky
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 6 No 2 (2026): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Drinking water quality is a critical factor in maintaining human health, with the degree of acidity (pH) serving as one of the primary parameters for determining water suitability for consumption. Digital pH measurement requires a data communication process that begins with the acquisition of analog signals from a sensor and ends with the presentation of information on an output device. This study aims to analyze the precision of the data communication process during Analog-to-Digital Converter (ADC) conversion in a drinking water pH monitoring system based on an 8-bit microcontroller architecture. The data flow begins with an electrochemical pH sensor that responds to hydrogen ions, generating an analog voltage signal inversely proportional to the measured pH value. The signal is then transmitted to the microcontroller's internal ADC, where it is converted into discrete binary data, logically processed using a mathematical regression constant, and subsequently transmitted as visual character instructions to an LCD module, displaying the water condition as Acidic, Neutral, or Alkaline. Empirical evaluation was conducted through calibration using standard pH buffer solutions of pH 4 and pH 7. The results demonstrate that the 8-bit microcontroller data processing algorithm consistently converts signal deviations with a measurement precision ranging from 97.40% to 98.52%. These findings confirm the reliability limit of the 8-bit ADC precision and establish it as a fundamental baseline for liquid analytical instrumentation. Keywords: 8-bit architecture, data communication, analog to digital conversion, adc precision, water quality Abstrak Kualitas air minum merupakan salah satu faktor penting yang menentukan kesehatan manusia, di mana derajat keasaman (pH) menjadi parameter utama dalam menilai kelayakan konsumsi air. Pengukuran pH secara digital memerlukan proses komunikasi data yang diawali dari akuisisi sinyal analog oleh sensor hingga penyajian informasi pada perangkat keluaran. Penelitian ini bertujuan menganalisis tingkat presisi proses komunikasi data pada konversi Analog-to-Digital (ADC) dalam sistem pemantauan pH air berbasis mikrokontroler berarsitektur 8-bit. Aliran data diawali dari akuisisi sensor pH elektrokimia yang merespons ion hidrogen, menghasilkan sinyal tegangan analog yang berbanding terbalik dengan nilai ukur pH. Sinyal tersebut dialirkan menuju ADC internal mikrokontroler untuk dikonversi menjadi data biner diskrit, diproses secara logis berdasarkan konstanta regresi matematis, dan ditransmisikan sebagai instruksi karakter visual ke modul LCD berupa klasifikasi kondisi Asam, Normal, atau Basa. Evaluasi empiris dilakukan melalui pengujian kalibrasi dengan larutan standar pH buffer 4 dan 7. Hasil analisis menunjukkan algoritma pemrosesan data arsitektur 8-bit mampu mengonversi deviasi sinyal secara konsisten dengan presisi pembacaan sebesar 97,40% hingga 98,52%. Kajian ini membuktikan batas keandalan presisi ADC mikro 8-bit sebagai rujukan utama (baseline) untuk instrumen analitik zat cair.
Co-Authors - Andrizal - Hendrick Adha, Muhammad Reyan Dirul Amelia Yolanda Anggelina Wulandari Anna Yudanur Aprinal Adila Asril Azra Mawandri Botto-Tobar, Miguel Dahlan, Andi Ahmad Erin Aulia Rahma Fajria, Nurul Fauzan, Reski Yulian Firdaus Firdaus Firdaus Firdaus Firdaus Ihsan Lumasa Rimra Kasmar, Andre Febrian Komanjali, Yuliano Lubis, Romia Maria, Popi Milda Yuliza Prasetia, Robby Adrian Pratama, Farhan Abdi Putra, Yeviki Maisyah Putri, Dwi Kemala Ramiati Ramiati Ratna Dewi Ratna Dewi Ricky Wahyudi Rifka , Silfia Rikki Vitria Rimra, Ihsan Lumasa Rivanol Chadry Ronal Hadi Rostam Ahmad Efendi Silfia Rifka Siska Aulia Yenniwarti Rafsyam Yuhefizar Yuhefizar Yul Antonisfia Yulindon Yustini Zulharbi