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Design and Implementation of Continuous Settling Tank (CST) Temperature Monitoring System and Waste Pond Level in a Palm Oil Mills Ulhaq, Muhammad Dafa; Ullah, Aulia; Mansyurdin, Muharpi; Zarory, Hilman; Faizal, Ahmad
Jurnal Sistem Cerdas Vol. 7 No. 1 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i1.360

Abstract

Improving time efficiency and reducing work risks are crucial in palm oil mill operations. Two vital factors in palm oil mill operations are CST temperature and effluent pond level. Both of these factors have a significant impact on mill efficiency. Extreme temperatures, either too high or too low, can disrupt the settling and separation process of water, oil and sludge. In addition, overflowing effluent pond levels are often missed by technicians, so checking must be done manually. This research aims to develop a monitoring system that can monitor the temperature of the CST in safe conditions and measure the level of the waste pond in real-time by utilizing Internet of Things (IoT) technology. This control system relies on components such as the NodeMCU ESP8266 microcontroller, DS18B20 temperature sensor, and HC-SR04 proximity sensor. The method used is the design and manufacture of a prototype monitoring system. Field test results show that this system is able to make comparisons with manual measurement methods. In testing the CST temperature sensor and the waste pool level sensor, the accuracy rate reached 100%. The temperature was successfully monitored with a safe limit of 89°C, while the waste pool level was monitored through the monitoring website. This Internet of Things-based monitoring system has shown significant potential in improving the efficiency and safety of palm oil mill operations, and enables mill operators to effectively conduct remote real-time monitoring.
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.
PERANCANGAN SISTEM PEMANTAUAN KONDISI TEMPAT SAMPAH KAMPUS BERBASIS INTERNET OF THINGS (IOT) (STUDI KASUS : FAKULTAS SAINS DAN TEKNOLOGI UIN SUSKA RIAU) Firmansyah, Dheka; Ullah, Aulia; Faizal, Ahmad; Zarory, Hilman
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 25, No 4 Oktober (2023): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.25.4.165-171

Abstract

Pemantauan manual tempat sampah di kampus terbukti kurang efisien. Selain menghabiskan lebih banyak waktu, cara tersebut berisiko menimbulkan penumpukan sampah yang berpotensi membahayakan kesehatan. Untuk mengatasi masalah ini, studi ini merancang sebuah sistem pemantauan berbasis Internet of Things (IoT). Sistem ini memanfaatkan sensor HC-SR04 untuk mendeteksi kapasitas sampah, DHT22 untuk kelembapan, dan MQ135 untuk gas amonia. Informasi dari sensor dikirim secara realtime melalui platform Thingspeak dan notifikasi Whatsapp, sehingga memungkinkan petugas kebersihan melakukan pemantauan dari jarak jauh. Pengujian menunjukkan ketepatan sensor dalam mendeteksi kondisi sampah dan kecepatan notifikasi yang efisien. Berdasarkan hasil pengujian, sistem ini memiliki keunggulan signifikan dalam efisiensi waktu dan akurasi dibandingkan dengan metode pemantauan manual. Kesimpulannya, sistem berbasis IoT ini menawarkan solusi efektif untuk memantau kondisi tempat sampah, memfasilitasi respons cepat dari petugas kebersihan, dan berpotensi meningkatkan kualitas lingkungan kampus.
The Influence of Ocean Current Patterns on Surface Marine Debris Distribution In Makassar City Waters Faizal, Ahmad; Werorilangi, Shinta; Samad, Wasir
Jurnal IPTEKS Pemanfaatan Sumberdaya Perikanan Vol. 10 No. 1 (2023)
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jipsp.v10i1.26391

Abstract

A survey of the abundance and distribution of macro debris (>2.5 - <100 cm) and meso-debris (>0.5 – <2.5 cm) has been carried out in Makassar City waters. This research was carried out to map the distribution of surface marine debris following ocean current patterns. The macro debris abundance range is 2222-17222 items/km2 and the meso-debris range is 2222-30556 items/km2, with the dominance of 47,03% plastic debris for macro sizes and 49,74% wood debris for meso-sizes. The highest abundance was found at the Jeneberang estuary, then at the Losari Coastal Waters and the lowest at the mouth of the Tallo River. The current pattern in Makassar City waters at low or high tide tends to move from north to south towards the  Jeneberang River estuary, with the current speed getting southern and slower. This condition causes a high abundance of macro and meso debris at the mouth of the Jeneberang River.
BIOECOLOGY OF AQUATIC ECOSYSTEMS ON KARAMASSANG ISLAND POLEWALI MANDAR Isman, Muh; Rani, Chair; Haris, Abdul; Faizal, Ahmad
Jurnal Ilmu Kelautan SPERMONDE VOLUME 10 NUMBER 1, 2024
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jiks.v10i1.28551

Abstract

Anthropogenic activities that are often carried out by humans can affect the survival of mangrove, seagrass and coral reef ecosystems in an area. This research aims to determine the species, distribution and condition of the ecosystem on Karamassang Polewali Mandar Island. This research was carried out from April to December 2020 on Karamassang Island in Binuang District, Polewali Mandar Regency, West Sulawesi. Mangrove sampling uses a plot measuring 10 m x 10 m with four observation stations with three repetitions of each station with a repetition distance of 5 m. Data collection on seagrass beds with estimates of seagrass cover was carried out by stretching a line transect along 100 m and placing 0.5 x 0.5 m2 quadrants with grids at 20 meters intervals. This transect was carried out at a location that has a seagrass ecosystem and coral reef ecosystem data was collected using the RRA (Rapid Reef Assessment) method. The results of research on the types of mangroves obtained on Karamassang Island were Rhizophora mucronata, Avicennia alba, and Sonneratia alba. In general, the density of mangroves is very dense. In general, seagrass cover is in the good category. In general, the condition of live coral cover is in poor condition.
The influence of chitosan on plant growth and β-sitosterol content in adventitious roots of Talinum paniculatum in NFT hydroponic cultivation system Widodo, Sinta Oktaviani Wahyu; Faizal, Ahmad; Melani, Lili
Current Research on Biosciences and Biotechnology Vol. 5 No. 2 (2024)
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/crbb.2024.5.2/JH7W60YM

Abstract

β-sitosterol is the most abundant type of phytosterol found in nature and it offers numerous health benefits for humans including anticancer, antidiabetic, and blood cholesterol-lowering properties. One biomass with a significant β-sitosterol content is the Javanese ginseng root (Talinum paniculatum). However, Javanese ginseng has not been fully exploited and is often perceived as a mere wild plant. This research was conducted by cultivating Javanese ginseng using the Nutrient Film Technique (NFT) hydroponic method along with the addition of chitosan elicitors at various concentrations: 0, 12.5, 25, and 50 ppm. The purpose of this research was to determine the optimal chitosan concentration for the growth of Javanese ginseng, the β-sitosterol content, and the productivity of β-sitosterol in Javanese ginseng roots cultivated using the NFT hydroponic method. The research revealed that a 12.5 ppm chitosan concentration could increase the root weight by 8.785 g and the shoot weight by 88 g. The growth rate increased to 3.457 g/day and the productivity of β-sitosterol in the roots reached 25.084 mg/m2/month. On the other hand, the addition of chitosan led to a decrease in the root-to-shoot ratio, indicating an improved cultivation environment compared to cultivation without chitosan. Furthermore, the results of the research also indicated that the addition of chitosan did not affect the β-sitosterol content in the Javanese ginseng roots. Therefore, it can be concluded that the optimal chitosan concentration that positively impacts Javanese ginseng cultivated using the NFT hydroponic method is 12.5 ppm.
Kondisi Terumbu Karang Pasca Bleaching Tahun 2016 di Perairan Pulau Liukang Loe, Kabupaten Bulukumba Faizal, Ahmad; Rani, Chair; Haris, Abdul; Yasir, Inayah
Jurnal Penelitian Perikanan Indonesia Vol 29, No 1 (2023): (Maret) 2023
Publisher : Politeknik Kelautan dan Perikanan Karawang, BRSDM KP.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jppi.29.1.2023.%p

Abstract

Penelitian ini bertujuan untuk mengetahui kondisi terumbu karang pasca fenomena pemutihan tahun 2016 di Pulau Liukang Loe dengan menganlasis komponen persen tutupan karang baik unsur biotik maupun abiotik. Persen tutupan diukur dengan menggunakan transek garis sepanjang 20 m yang ditempatkan sejajar dengan garis pantai. Pengambilan sampel pada dua kedalaman; 3-5 m dan 8-10 m, masing-masing tiga ulangan dan jarak antar ulangan 5 m. Analisis komponen tutupan dasar perairan mengacu pada English et al. (1987). Terdapat 17 jenis karang batu, dengan persen tutupan berkisar antara 1,5 hingga 63,55% pada kedalaman 3 meter, dan 2,66 hingga 73,36% pada kedalaman 10 meter. Tutupan karang mati (DCA = Dead Coral with Algae) berkisar antara 0 hingga 59,15% untuk kedalaman 3 meter, dan 3,96 hingga 52,40% untuk kedalaman 10 meter. Hasil analisis variansi antar stasiun menunjukkan perbedaan yang nyata baik untuk tutupan karang hidup maupun tutupan DCA untuk masing-masing kedalaman (p<0,05). Berdasarkan nilai DCA sebagai dampak peristiwa bleaching  tertinggi terdapat di Stasiun I, IV dan V untuk kedalaman 3 meter, sedangkan pada kedalaman 10 m dampak terbesar terjadi di Stasiun VI. Dari enam stasiun penelitian, dua stasiun kondisi terumbu karang dalam kondisi buruk (Stasiun I dan VI), dua lainnya dalam kondisi sedang (Stasiun IV dan V), dan hanya dua kawasan yang dalam kondisi baik (Stasiun II dan III).
Co-Authors -, Rahmadeni ., 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 Karimah, Isfi Zainul 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