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DEVELOPMENT AND IMPLEMENTATION OF INTEGRATED LIVESTOCK AND AGRICULTURE SOLAR HOME SYSTEM FOR INDEPENDENCE OF VILLAGE ENERGY Musyafiq, Afrizal Abdi; Zarory, Hilman; Edifikar, Wahyu
Jurnal Berdaya Mandiri Vol 1, No 1 (2019)
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.78 KB) | DOI: 10.31316/jbm.v1i1.256

Abstract

Indonesia is one country with a large population, and most live in rural areas. The lives of people in rural areas mostly work as farmers and ranchers. The economy of rural communities still relies on agricultural crops and livestock that are sold on the market. Economic problems of rural communities arise when something interferes with crops from agriculture and livestock. The purpose of this activity is as a form of community service in the field of applying solar home system technology (SHS) to help solve the problems of the village community and create villages that are energy-based in livestock and agriculture. This community service activity was carried out at RT.05 / 12 Batangsari Hamlet, Pasarbatang Sub-District, Brebes Regency. The steps of this activity are preceded by a field assessment; focus group disscussion; and installation of SHS implementation. The result of this activity is that there are drill wells with a depth of more than 100 m and for lifting water with the help of energy-sourced water pumps from the Solar Power Plant.
Kunci Kelas Terjadwal Teknik Elektro UIN SUSKA Riau Berbasis RFID dan IoT Maria, Putut; Akbar, Farhandhika; Ullah, Aulia; Zarory, Hilman
Jurnal Sistem Cerdas Vol. 6 No. 1 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i1.282

Abstract

Currently, the Electrical Engineering classroom at Sultan Syarif Kasim Riau State Islamic University still uses conventional key. The use of conventional key in the classroom is considered impractical in it use, when there is no schedule the door is left open which causes chairs to move rooms and the use of classrooms is not according to schedule because of schedule changes occurred during the first to third week of lectures. The purpose of this research is to create a classroom security system using an automatic door lock based on the lecture schedule. The tool has two accesses by RFID tags and telegram. RFID tags can be used when the device is not connected to the internet and for emergency access. Telegram is used as a chat-based IoT device control to access the door and input the classroom schedule. The research resulted in a device for controlling classroom door locks that can only be accessed and opened according to the lecture schedule. Door access using an RFID card provides a response time in the range of 0.99 to 1.99 seconds and if using a message via telegram bot, the response time is in the range of 1.97 to 2.62 seconds.
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.
RANCANG BANGUN ALAT PERAGA TRAINER FUZZY LOGIC CONTROLLER PADA KECEPATAN MOTOR DC BERBASIS ARDUINO DAN LABVIEW Pratama, Angga Riyan; Ullah, Aulia; Zarory, Hilman; Maria, Putut Son
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 26, No 3 Juli (2024): 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.26.3.154-164

Abstract

Program studi Teknik Elektro di UIN Suska Riau menggunakan perangkat lunak berbasis simulasi untuk pembelajaran sistem kendali cerdas, yang menyebabkan kebosanan dan kesulitan dalam menerapkan konsep fuzzy logic pada sistem nyata. Ketidaktersediaan alat peraga memperburuk masalah ini. Untuk mengatasi hal tersebut, penelitian ini bertujuan merancang alat peraga yang menggabungkan simulasi dan pembelajaran langsung untuk mengontrol kecepatan motor DC. Alat ini menggunakan aplikasi LabVIEW dan Arduino untuk menerapkan konsep Fuzzy Logic Controller (FLC) dengan sensor LM393 Optocoupler Speed, ACS712-5A, dan Voltage Divider. Hasil penelitian menunjukkan bahwa perangkat keras dan lunak yang dihasilkan efektif dalam meningkatkan desain sistem fuzzy dan memudahkan analisis respon sistem. Pengujian melibatkan variasi fungsi keanggotaan sebanyak 3, 5, dan 7 serta penerapan rules yang berbeda, memungkinkan pengguna mengamati perbedaan respon dengan lebih jelas. Secara spesifik, pengujian menunjukkan bahwa fungsi keanggotaan yang lebih banyak cenderung menghasilkan osilasi yang lebih banyak dan waktu yang lebih lama untuk mencapai keadaan steady state. Evaluasi hasil usability dengan mahasiswa sebagai responden menunjukkan nilai rata-rata keseluruhan sebesar 92,37%, menunjukkan bahwa alat ini sangat efektif dan mudah digunakan dalam pembelajaran. Responden merasa bahwa alat ini meningkatkan pemahaman mereka tentang konsep FLC dan aplikasinya pada sistem nyata.
Rancang bangun sistem pemantauan dan penyiraman pintar tanaman cabai pada greenhouse menggunakan Fuzzy Mamdani berbasis Blynk IoT Arief, Zainal; Zarory, Hilman; Jufrizel , Jufrizel; Mursyitah, Dian
AITI Vol 21 No 2 (2024)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v21i2.271-284

Abstract

One of the leading horticultural commodities cultivated by farmers is chili. However, chili farmers often experience problems monitoring soil moisture levels and environmental air temperature. In this case, it can affect the growth of chili plants, which impacts crop failure. Therefore, to overcome these problems, this research develops Mamdani fuzzy logic to build an intelligent system that can automatically monitor and water chili plants. In this research, the impact of the use of sensors and system impact treatment on chili plants will be tested and compared with plants that do not use the system. The results of this study show that the smart monitoring and watering system can function properly and maximize the condition of the plant media compared to those that do not use the system. The system can control soil moisture levels with an average error of 3.73% and air temperature with an average error of 1.03%. The results of the system by comparing plants that do not use the system combined with greenhouses can protect plants from extreme weather such as heat, rain, pests, and lack of wild plant growth so that plants look lush, lush, and grow quickly to minimize farmer crop failure. It is easier for farmers to monitor using the Blynk IoT application.