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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Jurnal Mahasiswa TEUB Jurnal EECCIS Journal of Innovation and Applied Technology Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Indonesian Journal of Electrical Engineering and Computer Science Prosiding Seminar Nasional Pengabdian Kepada Masyarakat KOPEMAS
Adharul Muttaqin
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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DETEKSI PERILAKU AYAM DALAM KANDANG BERBASIS DEEP LEARNING DENGAN ALGORITMA YOLOv4 Aloysius Andhika Aryadwuputra; Adharul Muttaqin; Angger Abdul Razak
Jurnal Mahasiswa TEUB Vol. 10 No. 4 (2022)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

Chicken pen is a very important component in a broiler farm. Therefore, the conditions in the cage and the condition of the chickens must also be maintained by the breeder. Conditions in a comfortable chicken pen will certainly affect the health and quality of the chickens produced. A simple way to see the health condition of farm chickens is to observe their diet. However, an inspection of the health condition of broilers is still carried out by manual inspection in commercial rearing houses. This manual process requires a lot of time and labor. With the development of the times, these inspections can be carried out without human intervention in the cage. One solution is to use Object Detection. Object detection is one of the most popular fields in computer vision and artificial intelligence (AI). In this study, one of the algorithms of object detection is used, namely YOLOv4. The algorithm is an algorithm developed to detect an object in real-time. The algorithm training process is carried out using 1,029 broiler images divided into eight classes. The testing process is carried out on videos captured in real-time by CCTV. Based on the results of the study, the best accuracy rate was 79.54% with a processing time of 7 seconds to be able to process 1,029 digital images.Keywords: Broiler, Computer Vision, YOLOv4
PERANCANGAN SISTEM MONITORING SUHU, KELEMBABAN DAN KONSENTRASI GAS AMONIA PADA KANDANG AYAM PEDAGING Valentino Ode Anugrah Kristanto; Adharul Muttaqin; Muhammad Aswin
Jurnal Mahasiswa TEUB Vol. 10 No. 4 (2022)
Publisher : Jurnal Mahasiswa TEUB

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The condition of the broiler cage during the rearing period can affect the quality of the chicken meat produced. Conditions in the cage that are not comfortable for chickens can cause disease and inhibit the growth of chickens. One of the main factors that can affect the condition of the chicken coop is the temperature and humidity of the air. A comfortable temperature for chickens is between 19oC to 33oC, and humidity is between 30%RH to 70%RH. In addition, the air in the chicken coop is also susceptible to being polluted by ammonia gas produced from chicken manure. Ammonia gas with concentrations exceeding 25ppm for more than 8 hours can harm the health of chickens and breeders. The purpose of this study was to design a system that can monitor conditions in the chicken coop in the form of temperature, humidity, and ammonia gas concentration. The system uses a NodeMCU ESP8266 microcontroller, a DHT11 temperature and humidity sensor, and an MQ-135 gas sensor. The system made can measure temperature and humidity, with an average error of 1.97% for temperature, and 3.55% for humidity. Meanwhile, the results of the measurement of ammonia gas concentration have approached the characteristics in the datasheet. The stored measurement data is visualized on the ThingSpeak web application. In addition, the system can also send warning messages via the Telegram application when the measurement value is abnormal or there is a sudden change in value.Keywords: Broiler, temperature, humidity, ammonia gas
PERANCANGAN APLIKASI ANTARMUKA SISTEM PEMANTAUAN KESEHATAN AYAM TERNAK BERDASARKAN PERILAKU MAKAN AYAM DALAM KANDANG DENGAN COMPUTER VISION DAN IOT Nizzah Khusnunnisa; Adharul Muttaqin; Muhammad Aswin
Jurnal Mahasiswa TEUB Vol. 10 No. 4 (2022)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

The Center for Domestic Trade Studies of the Ministry of Trade of the Republic of Indonesia stated that chicken meat is one of the main commodities in meeting the animal protein needs of the community. This causes the community's need for broiler meat to be quite high. The high number of people's need for broilers makes the health of broilers something that deserves attention. The environmental condition of the chicken coop is one of the factors that affect the health of chickens. To maintain the health of chickens, it is very important to create a comfortable atmosphere for chickens, by paying attention to air circulation and humidity, and adjusting the density of the cage. For now, monitoring temperature and humidity, as well as setting the density of the cage is still carried out manually will take a lot of time and require a lot of manpower. For this reason, we need an application that can help monitor the temperature, humidity, and density of the cage. In this study, an application design assisted by the PyQt5 library will be carried out and aims to monitor the temperature, humidity, behavior, and distribution of chickens through an application that will be developed with the help of Internet of Things technology and Computer Vision technology. Keywords: Broiler chicken, computer vision, YOLOv4, PyQt5, Io
ANALISIS PERFORMANSI PENGENALAN WAJAH MENGGUNAKAN ALGORITMA FISHERFACE Akmal Hibban Syah Alam; Raden Arief Setyawan; Adharul Muttaqin
Jurnal Mahasiswa TEUB Vol. 10 No. 5 (2022)
Publisher : Jurnal Mahasiswa TEUB

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This paper describes the performance ofreading or recognizing an image using the fisherface algorithm. Fisherface algorithm is a combination of two previous methods, namely Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) methods. Where Principal Component Analysis (PCA) will play a role in reducing the complexity of the interrelationships between a large number of observed variables into a relatively small number of linear combinations, which are referred to as principal components. LDA has almost the same function but with a different approach. Fisherface algorithm here plays a role to perform facial recognition or an image reading based on trained set that have been stored in a folder or directory of a database. This study aims to see how the performance of a fisherface in recognizing an image in several external conditions and how accurately the fisherface algorithm can distinguish several images features.Keywords: face recognition, biometrics, PCA, LDA, fisherface
RANCANG BANGUN SISTEM REKAYASA SUHU PADA LARUTAN IODINE CLOCK Robbith Qosath Al Auhi; Adharul Muttaqin; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 10 No. 5 (2022)
Publisher : Jurnal Mahasiswa TEUB

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The iodine clock reaction is when two clear solutions are mixed, producing another clear solution. After a while, the solution will instantly turn dark blue. The time for iodine clock reaction to change color can be used as a timer for the stoping mechanism on a chemically powered car prototype in Chem E Car competition. This temperature conditioning system aims to reduce the error of the iodine clock reaction time by adjusting the temperature to remain constant before being injected. In this study, the DS18B20 sensor was used to measure the solution temperature and DHT11 sensor to measure the ambient temperature. The OLED display used to showing sensor reading data. This system is designed to control the temperature of the solution to reamin constant with a setpoint range from ambient temperature to 50°C using PID control with Cohen-Coon tuning method. Parameter value obtained from this Cohen-Coon tuning method are Kp=10,25119, Ki=0,01754, Kd=780,66828. The actuator uses in this system are PTC heating element as a heater and DC fan as a cooler. The DS18B20 sensor readings and the control process are processed by Arduino Uno while the DHT11 readings and monitoring system are processed by
RANCANG BANGUN SISTEM PENGINJEKSIAN LARUTAN IODINE CLOCK BERBASIS INTERNET OF THINGS Mohammad Ilhammudin Toiyib; Adharul Muttaqin; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 10 No. 5 (2022)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

The iodine clock reaction is a chemical reaction that consists of two different colorless solutions mixed into one container to produce a colorless solution and a few moments later the solution turns dark blue. This color change is used as a timer for the stopping mechanism for the chemical-powered car prototype in the Chem E Car team of Universitas Brawijaya. The injection syringe used to inject the iodine clock solution can affect the reaction time of the iodine clock solution due to the difference in pressure at the time of injection so the mixing speed varies. The injection system of iodine clock solution aims to reduce the error of the reaction time of the solution so that it becomes more constant. The system is also equipped with the Internet of Things (IoT) concept which aims to monitor the state of the iodine clock solution such as the temperature of the solution because the competition time is quite long, about 10 hours so that the iodine clock solution must be monitored while not in use. This study uses the YF-S401 sensor as an indicator of the volume of the iodine clock solution. In addition, the system uses an actuator, namely a solenoid valve as a valve for the ex
SISTEM MONITORING BERAT DAN TAG RFID PADA ALAT RECORDING BOBOT BADAN SAPI BERBASIS INTERNET OF THINGS Effan Akbartama; Adharul Muttaqin; Onny Setyawati
Jurnal Mahasiswa TEUB Vol. 10 No. 6 (2022)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

Recording is all kinds of recording activities such as identification activities, genealogy records, production and reproduction records, as well as health records. This activity is the basis for the fattening process on cattle farms. One of the important measurement criteria in animals is weight. Weight measurements must be accurate and also require an adequate monitoring system so that the recording results are easy to monitor. Accurate and easy-to-monitor recording results will make maintenance management optimal so as to make optimal growth of cattle as well. However, the current traditional breeder recording equipment used monitoring system is still not optimal. Therefore, the purpose of this research is to design a Monitoring System for Cattle Body Weight Recording Devices Based on the Internet of Things. The system is equipped with realtime data transmission which is stored in a database and displayed on the website. The database is created using services from firebase. With IoT monitoring, cattle weight measurement values, RFID tag data, measurement time, and age can be accessed via a website that aims to make it easier for users to view realtime data and recapitulate measurement data. The results of the research conducted, the system runs according to design. In the test of sending heavy data, RFID tag data, time and date into firebase the success rate is 100% and website functionality also has 100% success. The data obtained from testing the delay in sending data to firebase obtained an average delay of 0.97 seconds. the highest delay value is 1.36 seconds and the lowest value is 0.72 seconds. The throughput on the system is 1990 bits/sec. Keywords : Recording, Weight, Monitoring, Internet of Things, firebase
RANCANG BANGUN SISTEM RECORDING BOBOT BADAN SAPI BERBASIS INTERNET OF THINGS Citra Trilaksana; Adharul Muttaqin; Onny Setyawati
Jurnal Mahasiswa TEUB Vol. 10 No. 6 (2022)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

In 2021, the trend for beef production in indonesia is likely to decline, not in line with the increase in the cattle population. According to the Directorate General of Livestock and Animal Health, Indonesia's beef production was 437,783.23 tons, a decrease of 3.44 percent compared to 2020 of 453,418 tons (Qodriyatun, 2022). The reduced supply of beef in Indonesia is due to the weak synchronization between reproduction management and butchering. The reason is that 78% of national beef production comes from smallholder farms (Zakiah, et al, 2017). In the recording studio, the people are still getting less attention. Recording is all types of recording activities such as assistance activities, genealogical records, production and reproduction records, maintenance management records and livestock health records in certain populations. The Internet of Things (IoT) can be applied to various aspects, especially as a system for recording, storing, sorting and processing data. This application can be used in the system for recording body weight of cattle. For this reason, a system for recording body weight based on the internet of things was designed. The internet of things based body weight recording system uses 2 Load Cell sensors to weigh the body weight of the cow and an RFID sensor to read the identity of the cow, besides that the sensor system has a website as a user interface. It is hoped that this application can increase the efficiency of the process of recording body weight of cattle and produce an intelligent tool system. Keywords: IoT, Recording, Load Cell, RFID
PERANCANGAN SISTEM PENGUKURAN JARAK DENGAN STEREOVISION Harits Al Furqon Akbar; Adharul Muttaqin; Raden Arief Setyawan
Jurnal Mahasiswa TEUB Vol. 11 No. 1 (2023)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

Stereo vision has become an attractive topic research in the last decades. Many implementations such as theautonomous car, 3D movie, 3D object generation, are produced using this technique. The advantages of usingtwo cameras in stereo vision are the disparity map between images. Disparity map will produce distanceestimation of the object. Distance measurement is a crucial parameter for an autonomous car. The distancebetween corresponding points between the left and right images must be precisely measured to get an accuratedistance. One of the most challenging in stereo vision is to find corresponding points between left and right images (stereo matching). This paper proposed distance measurement using stereo vision using Semi-Global Block Matching algorithm for stereo matching purpose. The object is captured using a calibrated stereo camera. The image pair then looks for the same Point of Interest to make it a measurement parameter. Theimplementation results of this algorithm are furthermore converted to a metric unit for distance measurement. The result shows that the stereo vision distance measurement using Semi-Global Block Matching gives a goodresult. The obtained best result of this work contains error of less than 0,19% for 1,2m distance. Keyword: Distance Measurement, Stereo Vision, Semi-Global Matching
Development of Electrocardiogram Signal Generator for Fibrillation Detector Ponco Siwindarto; Bill Jason; Adharul Muttaqin; Muhammad Nurrohman; Muhram Muis; Zainul Abidin
Journal of Information Technology and Computer Science Vol. 7 No. 3: December 2022
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

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Abstract

Fibrillation is one of the abnormalities in the heart where it beats irregularly, which can cause sudden death. Fortunately, these abnormalities can be detected using an electrocardiogram (ECG) fibrillation detector. An ECG can be detected as biopotential body signal that arises as a result of electrical activity of the heart muscle represented by the electrical signals consisting of P, Q, R, S and T waves that carry information about someone’s heart condition through graph pattern. However, a test in humans with the potential for fibrillation is needed to determine whether the fibrillation detector works correctly. Testing this way is ineffective because we cannot predict when and where a person will experience fibrillation. On the other hand, a site called PhysioNet provides various medical records from patients, including ECG signals of normal heartbeats, atrial fibrillations, and ventricular fibrillations. Because of the ineffectiveness of testing a fibrillation detector directly on a living person, this study focused on research to develop an ECG signal generator using microcontroller Arduino Due for reconstructing the heart signal in normal and fibrillated heart conditions collected from the PhysioNet database. The research focused on obtaining an R-peak value and RR interval time that resembled a heart ECG wave. This study compared the reconstructed signal with references from PhysioNet and measured the peak level of R and R-R interval time using an oscilloscope to calculate the accuracy of the ECG signal generator. The generated ECG signal during Atrial Fibrillation and Normal Sinus Rhythm has an overall accuracy of 88.65% for the R-peak level and 97.24% for the RR-Interval time. While Ventricular Fibrillation has been reproduced by achieving amplitude errors of less than 5.63% and 10.22% during first and second samples, respectively.
Co-Authors Abadi, Dendy Satria Abraham Tesa Putra Achsanul Khabib Adhitya Bhawiyuga Adoram Wirahadi Agung Setiabudi, Agung Ahmad Firmansyah A. Ahmad Habyan Haidar Z. AKbar Rizal Wicaksono Akbar, Muhammad Danar Akbartama, Effan Akmal Hibban Syah Alam Aloysius Andhika Aryadwuputra Angga Septi Suyanto Angger Abdul Razak Angger Dimas Bayu Sadewo Araki, Kakeru Arfa'i Fahrul Khizam Aryawiratama, Nauval Asrori Arsyad Attabik Muhammad Amrillah Attabik Mukhammad Amrillah Azzurri, Dean Fachruddin Bagus Ari Prabowo Bagus Esa Pramudya Barlian Henryranu Prasetio Bill Jason Bill Jason Caesario Bima Irfano Cahaya Trinala Kinanti Citra Trilaksana Dahnial Syauqy Dany Primanita Kartikasari Dany Primanita Kartikasari Dany Primanita Primanita Kartikasari Dian Falah J. Dicka Anditya Febrianto Dionysius J. D. H. Santjojo Dwi Fadila Kurniawan Effan Akbartama Eka Prakarsa Mandyartha Eko Setiawan Eko Setiawan Endah Budi Purnomowati Erni Yudaningtyas Erza Pradipta Erza Pradipta, Erza Faris Aulia Ramadhan Fatchur Rizal Hidayat Faza Rosyadan Nandita Pratama Febrian Daniel Dwiputra Ferdy Hendrawan Finnadi, Stefanus Dion Finsa Ferdifiansyah Fuad Sultan Muhammad Gahara, Ahda Gembong Edhi Setyawan Gian Giovani Glanndy Parwati Putra Hadi Suyono Hamas, Muhammad Nafis Hani Khulud Hari Kurniadi Harits Al Furqon Akbar Hasdi Sasandi Ion Caesar Oktoga Iqbal Ibrahim Ramadhan Irman Idris Issa Arwani Issa Arwani Itsna Az Zahra Itsna Az Zahra Jason Danny Setiawan Khulud, Hani Lastono Risman Lunde Ardhenta M. Gilang Ramadhan M. Julius St. Maulana, Eka Maulana, Eka Maulani Ghiyas Mochammad Hannats Hanafi Ichsan Mohammad Ilhammudin Toiyib Mudjirahardjo, Panca Muhammad Akbar Muhammad Anwar Sanusi Muhammad Aswin Muhammad Aswin Muhammad Aswin Muhammad Aziz Muslim Muhammad Azril Muttaqin Muhammad Elvir Eriansyah1 Muhammad Farhan Muhammad Fauzan Fadli Nafrizal Muhammad Gilang Ramadhan Muhammad Ilham Akbar Muhammad Khairy Mahdi Muhammad Mursyid Albanani Muhammad Nurrohman Muhram Muis Muslichin Muslichin Muslichin, n/a n/a Aditiya n/a Indradianto n/a Soeprapto Najib, Aditya Zulfa Nararya Andika Sujarwo Nathanael, Indra Nauval Aryawiratama Nisa Intan Kumalasari Nizzah Khusnunnisa Novia Alifianti Nurus Sa'adah Onny Setyawati Pambudi, Muhammad Farrel Putra Ponco Siwindarto Ponco Siwindarto Ponco Siwindarto Prihartady, Dion Purnomo, Muhammad Fauzan Edy R. Arief Setyawan Rachmadwipa Novandri Rachmania Nur Dwitiyastuti Raden Arief Setyawan Ramadhan, Faris Aulia Reinato Teguh Santoso Reyhan Rifqi Ihsan Rif'an, Mochammad Riyanjaya, Ahmad Fadli Rizky Aiman Haniffalah Harijanto Robbith Qosath Al Auhi Royyannuur Kurniawan Endrayanto Rusli, Moch. Ryoichi Miyauchi Sabriansyah Rizqika Akbar Sabriansyah Rizqika Akbar Saif Masharil Huda Samuel Aji Sena Sanusi, Muhammad Anwar Sari, Sapriesty Nainy Setiawan, Bagus Ilyas Setyawati , Onny Shafina Rifdhayanti Zein Stefanus Dion Finnadi Suyono, Hadi Taftazani, Moch. Aden Titis Hayuning Widya Pramesti Tito Cahyo Prasetyo Cahyo Prasetyo Tomi Putro Utomo Tri Yoga Septianto Trilaksana, Citra Triyogo, Anggun Utaminingrum, Fitri Valentino Ode Anugrah Kristanto Wahyu Adhitiya Rachman Wahyu Adi Prayitno Wahyu Suryo Samudro Waru Djuriatno Waru Djuriatno Waru Djuriatno Widasari, Edita Rosana Wijayanto, Micko Wirawan Hidayat Yosef Moscati Kresna Chrisnadi Youssi, Owlena Renaseilla Yudha Nurfalah Yudhistira Nugrahadi Widayat Yuni Kilawati Yunita Maimunah Zainul Abidin Zainul Abidin Zainul Abidin Zainuri, Akhmad Zakiyah Amalia