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Journal : Building of Informatics, Technology and Science

Prototype Pengukuran Kadar Alkohol dan Co Pada Ruangan Laboratorium Pendidikan Kimia Berbasis IoT Al Aziz, Vindy Rova Dwiki; Zarory, Hilman; Son Maria, Putut; Faizal, Ahmad
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5328

Abstract

Technological advancements, particularly the Internet of Things (IoT), have significantly impacted various sectors, including chemical laboratories. This research aims to design a device for detecting Alcohol and Carbon Monoxide (CO) levels in the Chemistry Education Laboratory at UIN SUSKA RIAU. The device uses MQ-3 and MQ-135 sensors connected to an ESP32 microcontroller, featuring voice notifications and integration with the Blynk application for real-time monitoring. The design includes key components such as a power supply, buzzer, speaker, DFPlayer Mini, LED, and 16x2 LCD. Hardware and software testing were conducted to ensure the device's reliability and durability. The test results showed variations in CO and Alcohol levels in the laboratory over five days. The MQ-135 sensor indicated a significant increase in CO levels on Tuesday with an average of 55.4 PPM, while the MQ-3 sensor recorded the highest Alcohol levels on Friday with an average of 2%. These variations were due to intensive practicum activities and suboptimal air circulation. The implementation of this device successfully detected and transmitted air quality data accurately and quickly through the Blynk application. The research results emphasize the importance of monitoring and controlling air quality in laboratories to ensure a safe and healthy environment for users. The use of sensors integrated with IoT has proven effective in enhancing monitoring quality and providing real-time data that can be accessed remotely, contributing positively to supporting safer learning activities in chemical laboratories
Sistem Kontrol dan Monitoring Suhu Air Kolam Ikan Lele Fardu Farm Menggunakan PLC Outseal Mega V.3 dengan Sensor BGT-D718-PH Berbasis IoT Irvan, Mhd Abdinul; Zarory, Hilman; Ullah, Aulia; Faizal, Ahmad
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5375

Abstract

In cultivating catfish, there are several things that must be considered, namely the water temperature of the catfish pond. High temperatures have a stressful impact on fish, if low temperatures inhibit fish growth. Currently, most catfish farmers check the water temperature manually, by going to the pond to check with a manual measuring instrument, this has shortcomings in terms of accuracy and is time consuming. To overcome this problem, this research discusses controlling and monitoring the temperature of catfish ponds using the Outseal Mega V.3 PLC and Internet of Things (IoT) based BGT-D718-PH Sensor. With Outseal Mega V.3 PLC control which regulates the on and off logic status of devices connected to the PLC, one of which is the Bgt-D718-Ph temperature sensor. This sensor is used as an input to read the pool temperature value which replaces manual measuring instruments, so the system checks the pool water temperature automatically. Then the temperature sensor data is collected and displayed on the Blynk application in real time using Esp8266 via the internet network. The main aim of this research is to increase efficiency in raising catfish by controlling and monitoring the water temperature of catfish ponds. Through the integration of IoT and PLC technology, the system can monitor water temperature in real-time, control the temperature of the pond water with upper and lower limits if the temperature is high by using an aerator as water circulation to stabilize the water temperature of the catfish pond and provide buzzer sound notifications and Blynk notifications. if the pool water temperature is low and does not match the desired range. Research methods include hardware and software design, as well as sensor testing and system testing. The results of research on an IoT-based system are able to control the water temperature of the catfish pond so that it is at a normal temperature and monitor the temperature of the pond water which is displayed on the Blynk platform which is connected directly to the internet. The Bgt-D718-Ph temperature sensor functions well with average reading errors of 1.71% and 1.74%. In this test, research was carried out for 14 days by comparing temperature sensors and thermometer measuring instruments by taking morning and afternoon data. The temperature that occurred during the research was 2 conditions, namely high temperature and low temperature. It was found that there was a decrease in temperature during the day due to the lowest rainy weather on day 4 where the temperature reached 24.6 ℃. Then there was an increase in temperature on the 7th day reaching 35.1℃, which means the pool temperature was exposed to hot sunlight. The average sensor error value was found to be 1.41% in the morning and 1.44% in the afternoon.
Sistem Monitoring Ph Air Kolam Ikan Lele Menggunakan Sensor Bgt-D718-Ph dan PLC Outseal Berbasis Internet of Things Mubarak, Rifqi; Zarory, Hilman; Ullah, Aulia; Faizal, Ahmad
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5387

Abstract

Catfish farming is one of the choices for communities to meet the need for animal protein and also contributes to the development of the fisheries sector. High demand from consumers in various regions in Indonesia makes the opportunity for catfish farming very promising. Water quality plays an important role in the success of catfish farming, especially pH fluctuations that can affect the health and growth of fish. In an effort to monitor and regulate pH values effectively, the development of a system using Internet of Things (IoT) technology has been carried out. This system allows real-time monitoring of water pH in catfish ponds remotely through the Blynk application. Additionally, this research also includes the design and development of a measuring device using IoT technology based on ESP8266 to monitor catfish pond pH in real-time without physical presence at the location. This device not only provides real-time data display for decision-making considerations but also offers efficiency in time usage. The aim of this research is to develop a real-time water pH monitoring system for catfish ponds at Fardu Farm Pekanbaru, which utilizes the BGT-D718-PH RS-485 sensor and PLC Outseal mega v3 for data processing, as well as communication with the Blynk application through ESP 8266 as the IoT-based HMI. In this study, testing was conducted over a period of 14 days by comparing the readings of the measuring instrument with those of the sensor, resulting in an error of 0.04. Throughout the testing period, the pH levels in the catfish pond fluctuated due to varying weather conditions, ranging from rainy to hot weather. The testing was conducted under two conditions: normal pH and problematic pH. From these tests, it can be concluded that the water pH monitoring system has been successfully developed. Consequently, this system can serve as an effective solution for catfish farmers to monitor pH conditions without the need to be physically present at the location
Pemantauan dan Pengendalian Kekeruhan Air Kolam Pembibitan Ikan Lele Dengan PLC Outseal Berbasis IoT, Di Fardu Farm Pekanbaru Akbar, Muhammad Razzaq; Zarory, Hilman; Mursyitah, Dian; Faizal, Ahmad
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5452

Abstract

In catfish hatchery farming, monitoring and controlling water quality is essential to ensure optimal conditions for fish growth. One of the key parameters that need to be monitored is water turbidity, which can affect fish health and the quality of the water environment in the hatchery pond. Monitoring the turbidity of catfish hatchery ponds has generally been done manually by farmers, which has several significant drawbacks. This manual process is inefficient as it requires physical presence at the pond site and must be performed periodically, consuming time and labor. In this study, the researchers propose an innovative solution using an automated system based on the PLC Outseal Mega V3 and the BGT-D718-TDS sensor, connected with the Internet of Things (IoT) to monitor and control the turbidity of catfish hatchery ponds. This research integrates IoT technology into the automatic control of pond water turbidity, aiming to ease operational burdens in catfish farming. The results of a 14-day experiment showed that the system effectively controlled pond water turbidity, with significant reductions observed on day 12 by 4.4 ppm and on day 13 by 3.46 ppm. Thus, implementing IoT technology in water quality monitoring and control can be an important step in enhancing operational efficiency and sustainability in aquaculture.
Co-Authors ., Fathuddin Abd Rasyid Abdul Haris Abdul Haris Abdul Haris Abdul Rasyid Abigail Mary Moore Abigail Mary Moore ADELIA, PUTRI Agus Dana Permana Agus Rohermanto, Agus Agustina Multi Purnomo Agustini Agustini, Agustini Ahmad Fauzan Suryono Akbar Tahir Akbar Tahir Akbar Tahir, Akbar Akbar, Muhammad Razzaq Al Aziz, Vindy Rova Dwiki Alfadri, Ramadhan Alfian Noor Alwi, Lukman Amir Hamzah Muhiddin Amran Saru Amran Saru Amran Saru Amran, Muhammad Anshar Andi Iqbal Burhanuddin Andi Niartiningsih Andriyan, Septa Arifin, Isnaeni Arniati Massinai, Arniati arniati, arniati Asmanurhidayani, Asmanurhidayani Aspirandi, Rendy Mirwan Asy'ari, Farida Azmal, Azmal Chair Rani Chair Rani Chair Rani Derafi, Ryan Dermawan, Rahmansyah Dewi, Sukhma Kusuma Dian Mursyitah Elfira Safitri Farid Samawi, Farid Fathuddin Fathuddin Firmansyah, Dheka Fitrah, Muh Nur H, A Suci Islameini Hadi Mubarok, Achmad Hamdani, Anti Damayanti HARI PURNOMO Hasriani Ayu Lestari Hasriani Ayu Lestari Hendri Hestiawan Hendri, Arsyi Mart Illang, Nur Inayah Yasir Inayah Yasir Indradewa, Rhian Irma Andriani Irma Andriani Irvan, Mhd Abdinul Isman, Fajar Maulana Isman, Muh Isman, Muhammad Isyrini, Rantih J Moka, Wilma Jamaluddin Jompa Joni Rahmadi Jufrizel Jufrizel Khairul Amri Khairul Amri LESTARI, PUSPITA M Natsir Nessa, M Natsir M. Farid Samawi M. Farid Samawi, M. Farid M. Natsir Nessa M. Natsir Nessa M. Natsir Nessa Mahatma Lanuru Mansyurdin, Muharpi Maratina, Dina maria, putut son Marianingsih, Ita Marzuki Ukkas Marzuki Ukkas Marzuki Ukkas Maulana, Abi Melani, Lili Mubarok, Achmad Hadi Muh Anshar Amran Muh Isman Muh Nastsir Nessa Muhammad Farid Samawi muhammad rizky, muhammad Mushlihah, Hidayah Nadziro Khoolishoh, Nisa Natsir Nessa Nita Mutmainna Nugroho, Syarul NURDIN, NURJANNA NYOMPA, ACHMAD HUSEIN Padua, Cintya Pamungkas, Rizky Pebriani, Sovi Rachim, Rastina Rafsanjani Rahmadi Tambaru Rahmat Januar Noor Rahmat Januar Noor Rahmat, Muhammad Habib Ramadhani, Kurniawan Ramadhani, Razkiyah Rantih Isyrini Rastina Rastina Rastina Rastina Rastina, Rastina Ratnawati Gatta RIDWAN, AHMAD SAHLAN Rifqi Mubarak, Rifqi RIZKITA RACHMI ESYANTI Rohani Ambo Rappe Samawi, M Farid Samawi, Muh. Farid Sari, Sitri Permata Shinta Werorilangi Shinta Werorilangi Shinta Werorilangi Shinta Werorilangi, Shinta Son Maria, Putut SONY SUHANDONO Sulaiman Gosalam, Sulaiman Supriadi - Suriadi Mappangara Suriadi Mappangara Suriadi Mappangara Sutrisno, Sutrisno Sutriyatna, Sutriyatna Syamsiar*, Syamsiar Syamsuddin Thoaha Tri Haryanto Ulah, Aulia Ulhaq, Muhammad Dafa Ulhaq, Muhammad Rafif Dhiya Ullah, Aulia Wahyudi, Rico Wahyudin Wahyudin Wasir Samad, Wasir Widodo, Sinta Oktaviani Wahyu Wijayati, Cici Yayi Suryo Prabandari Zainuddin, Zainuddin Zarory, Hilman Zulkarnaen, Adi Zulkarnnaeni, Achmad Syahfrudin