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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 International Journal of Advanced Science Computing and Engineering International Journal of Wireless And Multimedia Communications JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) PERFECT: Journal of Smart Algorithms SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi
Lifwarda Lifwarda
Politeknik Negeri Padang
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences

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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.  
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.  
Co-Authors - Andrizal - Hendrick Adha, Muhammad Reyan Dirul Adila , Aprinal Afrizal Yuhanef Amelia Yolanda Anas, Ramiati 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 Herry Setiawan Ihsan Lumasa Rimra Kasmar, Andre Febrian Komanjali, Yuliano Lubis, Romia Maria, Popi Milda Yuliza Nawi, Nasrul Nilna, Mellya Gusriva Prasetia, Robby Adrian Pratama, Farhan Abdi Putra, Yeviki Maisyah Putri, Dwi Kemala Ramiati Ramiati Ratna Dewi Ratna Dewi Rifka , Silfia Rikki Vitria Rimra, Ihsan Lumasa Rivanol Chadry Ronal Hadi Rostam Ahmad Efendi Silfia Rifka Siska Aulia Uzma Septima Yenniwarti Rafsyam Yuhefizar Yuhefizar Yul Antonisfia Yulindon Yustini Zulharbi