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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

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Sistem Kontrol Berbasis Pemrograman LabVIEW MyRIO untuk Monitoring Kualitas Udara Dalam Ruangan Andrizal Andrizal; Lifwarda; Yul Antonisfia; Zulharbi; Yuhefizar
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 5 (2020): Oktober 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.448 KB) | DOI: 10.29207/resti.v4i5.2391

Abstract

A multisensor control system based on the LabVIEW myRIO programming has been created for monitoring indoor air quality. The purpose of this research is to create a system to monitor and control the levels of CO and CO2 in the room so that it remains within the threshold of healthy air and does not endanger users. The research phase began with the manufacture of a multisensor circuit and a relay module for the air purifier system and connected to the input and output ports of the myRIO module as a processor programmed with LabVIEW. The process of testing the multisensor response and the activation response of the air purifier on-off is carried out in open areas and indoors by adding artificial air pollution. Besides, air quality control and monitor is also carried out when the level of CO or CO2 gas exceeds the threshold by increasing the number of users and set the air conditioner activation. From the results and data analysis, it was found that the system could be used as a monitor and control the indoor air quality as expected. The range of CO sensor readings is 7.46 ppm - 27.65 ppm and CO2 296.8 ppm - 1190.5 ppm. Air purifier on-off control response time to change of CO and CO2 are 7 and 6 seconds. The air purifier system is able to clean indoor air with a long activation time depending on the number users and the room air conditioner activation settings.
Deteksi Jamur Beracun dan Tidak Beracun Menggunakan CNN dan YOLO Fajria, Nurul; Lifwarda, Lifwarda; Ramiati, Ramiati; Yulindon, Yulindon
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.453

Abstract

In Indonesia, which has a tropical climate there is a lot of wood which is very suitable for mushroom growth. However, some of these mushrooms are poisonous and should be avoided. By examining the morphological characteristics of the mushroom, such as the shape of the mushroom cap, color, smell, and other characteristics it is possible to identify between poisonous and non-poisonous mushrooms. However, some poisonous mushrooms have the same morphological characteristics as non-poisonous mushrooms, making it difficult for us to differentiate them when seen with the naked eye. As a solution to this problem, machine learning is needed to identify which mushrooms are poisonous and which are not. As in this research, Convolutional Neural Network (CNN) and You Only Look Once (YOLO) were used as methods for identification. The stages in this research include collecting datasets, modeling and training data, and the final process, namely deployment. CNN Method got an accuracy value of 55% and succeeded in identifying 5 correct and 5 incorrect images from the 10 images given. Meanwhile, using YOLOv5, we got a high accuracy value of 91% and succeeded in identifying 9 correct and 1 incorrect image out of the 10 images provided. From a comparison of the 2 methods, it was found that detecting poisonous and non-toxic mushrooms was better using the YOLO method than the CNN method
Design Attention System of Single Mode Aerial Fiber Optic Cable Transmission on Connection Loss on Passive Splitter Asril, Aprinal Adila; Yolanda, Amelia; Lifwarda, -; Putri, Dwi Kemala; Kasmar, Andre Febrian
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 1 (2022)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (431.516 KB) | DOI: 10.62527/ijasce.4.1.74

Abstract

In this study, a comparison of the attenuation value of single mode aerial cable with pigtail is made. Perform several types of connections using a 4 cm and 6 cm protection sleeve, with one and two connections and use a barrel adapter connector. How does the connection affect the installation of a 1:2 passive splitter device. The measuring instruments used for the measurement process are Optical Power Meter (OPM) and Optical Time Domain Reflectometer (OTDR). The attenuation value of aerial single mode optical cable is smaller than that of pigtail cable. The measurement results using OPM at a wavelength of 1310 nm, connection using a 4 cm protection sleeve, one connection, the attenuation value is 0.18525dB, this value is smaller than the pigtail cable, which is 1.2728 dB. In the installation of a passive splitter, the attenuation value on the aerial cable is smaller, namely 0.2081 dB compared to the pigtail cable, which is 4.3281. The measurement results using the OTDR obtained the connection loss value for the connection type using a 6 cm protection sleeve, one connection is smaller with a value of 0.155 dB, compared to the connection type using an adapter barrel with a value of 12,216 dB.
Fiber to The Home (FTTH) Network Design with Addition of Optical Distribution Point (ODP) Using the Branching Method Asril, Aprinal Adila; Maria, Popi; Lifwarda, -; Antonisfia, Yul; Hadi, Ronal
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 2 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.2.136

Abstract

Optical fiber is a transmission medium that uses light as a signal conductor. In order for optical fibers to be used and the benefits are felt, a network architecture is needed, namely FTTH. FTTH consists of active devices such as OLT and ONT as well as passive devices consisting of ODC, Closure, and ODP. In this design, it uses OLS as a light signal transmitter and produces input power. However, over time and the increase in population capacity and the number of access services available, of course, there are more and more requests for the installation of optical networks in customers' homes. Therefore, the most available FTTH device is ODP in order to be able to withdraw cables to customers' homes and continue to expand FTTH. Therefore, this study will discuss the addition of new ODP with the branching method. Using OPM as a measuring tool and calculating the power link budget to find out that the resulting attenuation value is no more than 28dB.
Implementation of Traffic Monitoring Technology Using Smart Surveillance in Intelligent Transportation System Rimra, Ihsan Lumasa; Lifwarda; Komanjali, Yuliano; Botto-Tobar, Miguel
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 3 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.3.166

Abstract

Currently transportation is very attached to human life, almost every family and even every adult human being has a vehicle as a means of transportation. Based on this, a conclusion can be drawn that population growth will trigger an increase in the number of vehicles in Indonesia. The implementation of Traffic Monitoring Using Smart Surveillance in the Intelligent Transportation System is research on information and communication technology in the transportation system in order to increase mobility, reduce congestion resulting from the buildup of vehicles in one lane, and be taken into consideration by road users before crossing a road section. This system uses the Background Subtraction method, and object detection. This system was created by utilizing OpenCV and Python programming language. This research obtained an accuracy of 93.1% on camera A and 93.5% on camera B in calculating passing vehicles in the test using simulations monitored via cameras in real time.
Analysis of Solar Power Generation Needs for Weather Stations based on ESP32 FIRDAUS, FIRDAUS; VITRIA, RIKKI; RIFKA, SILFIA; LIFWARDA, LIFWARDA; DEWI, RATNA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 1: Published January 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i1.15

Abstract

A remote weather station requires solar power system (PLTS), hence making power consumption calculation is very essential. PLTS analysis is applied to an ESP32-based weather station with low-power sensors to reduce costs. The process starts with setting up the station and PLTS without prior analysis, followed by a literature review, data collection of current and voltage from the SCC, conducting an analysis, and finally determining components recommendations. Calculations determine the need for a 12V, 4.375 Ah battery, 14.255 Wp solar panel, and a SCC with 0.46 A battery current and 0.306 A load current. Adjusted to market availability, a VRLA 12V/6Ah battery, 20 Wp solar panel, and 5A SCC module can replace the previously used 12V/7Ah battery, 50 Wp solar panel, and 10A SCC.
Design And Design Of A Temperature And Humidity Monitoring System For Broiler Chicken Cages Based Internet Of Things (IOT) Prasetia, Robby Adrian; Dahlan, Andi Ahmad; Lifwarda, Lifwarda
PERFECT: Journal of Smart Algorithms Vol. 1 No. 2 (2024): PERFECT: Journal of Smart Algorithms, Article Research July 2024
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v1i2.23

Abstract

In this research, we designed a tool that is used to help chicken farmers to continue their daily activities in raising livestock. Problems often experienced by chicken farmers are frequent theft, and having to check the temperature manually in the coop. So a Security and Temperature Monitoring and Light Control System for Broiler Chicken Cages Based on Internet of Things (IoT) was created using NodeMcu Esp32 as the controller of the entire system. The tools used in this system are, Buzzer, DHT22, LCD 16x2, ESP32, Breadboard, Relay, and Incandescent Lamp. The tool making method uses engineering design methods in making the automation system. The test results show that the system that has been made is able to maintain the temperature in the chicken coop in accordance with the ideal conditions for Broiler chickens.
Analisis Empiris Peningkatan Performa dan Redundansi Database Menggunakan Galera Cluster Fauzan, Reski Yulian; Adha, Muhammad Reyan Dirul; Lifwarda, Lifwarda; Lubis, Romia; Putra, Yeviki Maisyah
Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer) Vol 5 No 2 (2025): Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitekt
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakadata.v5i2.1534

Abstract

Penelitian ini menganalisis secara empiris peningkatan performa dan redundansi sistem basis data dengan menerapkan Galera Cluster dibandingkan Single MariaDB menggunakan workload OLTP read–write. Penelitian ini memberikan validasi empiris terhadap efektivitas Galera Cluster pada skenario sumber daya terbatas. Pengujian dilakukan menggunakan tool benchmarking sysbench dengan total sumber daya hardware yang identik (16 core CPU, 8GB RAM) namun dengan arsitektur berbeda. Konfigurasi Galera Cluster menggunakan 2 node (8 core CPU, 4GB RAM masing-masing) dengan HAProxy sebagai load balancer, sementara Single MariaDB menggunakan satu server dengan 16 core CPU dan 8GB RAM. Hasil penelitian menunjukkan Galera Cluster mencapai 348,07 transaksi per detik (TPS) dibandingkan 202,99 TPS pada Single MariaDB, meningkat 71%. Galera Cluster juga menunjukkan latensi rata-rata yang jauh lebih rendah (22,97 ms vs 39,29 ms) dan latensi 95th percentile (26,20 ms vs 125,52 ms). Arsitektur ini memberikan redundansi bawaan dan high availability tanpa biaya hardware tambahan. Penelitian ini memberikan bukti empiris bahwa Galera Cluster dengan HAProxy memberikan performa dan ketersediaan yang unggul dibandingkan sistem database single-node tradisional.
PENERAPAN INTERNET OF THINGS UNTUK SISTEM PENDETEKSI DAN PENGENDALIAN ASAP DAN SUHU DALAM RUANGAN Pratama, Farhan Abdi; Rifka , Silfia; Lifwarda, Lifwarda
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 3 No. 1 (2026): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Maret 202
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v3i1.136

Abstract

Clean air and comfortable temperature are important factors for the health and comfort of indoor occupants. Smoke, especially cigarette smoke, and high temperatures can reduce air quality and have a negative impact on health. This research aims to design and implement an Internet of Things (IoT)-based indoor smoke and temperature monitoring and control system. The system uses MQ2 sensor for smoke detection and DHT22 sensor for temperature measurement, controlled by ESP32 microcontroller connected via Wi-Fi. Sensor data is processed in real-time to automatically activate the exhaust fan and fan based on predetermined thresholds. In addition, the system provides manual control through a mobile application developed in MIT App Inventor, and data is stored in Google Sheets for historical monitoring. Test results show the system is can to accurately monitor smoke levels and temperature and control actuators both automatically and manually. Sensor data was successfully transmitted and stored in Google Sheets with minimal delay. This system provides an effective solution to improve air quality and space comfort using IoT technology.
Implementation Of Internet Of Things (Iot) Based Lecture Schedule In Building G Floor 3 Padang State Polytechnic Anggelina Wulandari; Lifwarda Lifwarda; Firdaus
International Journal of Wireless And Multimedia Communications Vol. 1 No. 1 (2024): 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.v1i1.6

Abstract

The internet of things-based lecture schedule aims to improve the efficiency and effectiveness of time management. Thus, students, lecturers, and staff can know the time change so that they can prevent delays. By using Arduino Uno as the main component microcontroller, RTC as a clock module that calculates the time that will be displayed on the LCD. Bell and Speaker will sound when the clock on the RTC is the same as the inputted schedule clock, then sent to IoT via the ESP01 wifi module. This tool can also be used as a medium for delivering information because it is equipped with a mic. The RTC in this tool successfully calculates the time according to real time where the Bell and Speaker can work on time according to the schedule. When the bell sounds the measured voltage is 225 volts while the speaker is 2 volts. This tool has also been connected to ThingSpeak using the ESP01 wifi module.  
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