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Jurnal Mahasiswa TEUB
Published by Universitas Brawijaya
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Core Subject : Education,
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Articles 24 Documents
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Search results for , issue "Vol. 11 No. 4 (2023)" : 24 Documents clear
RANCANG BANGUN SEPEDA LISTRIK TERINTEGRASI SISTEM KONTROL KECEPATAN, INTENSITAS CAHAYA, DAN PERINGATAN BAHAYA Eldoni Tuah Rito Purba; Erni Yudaningtyas; Raden Arief Setyawan
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Electric bicycles in the modern era require useful features to transform transportation into a space for innovation, aiming for energy-efficient, environmentally friendly, and safe riding experiences. This research integrates several features, including the control system for bicycle lighting, hazard warning using a buzzer, PID control for the bicycle motor, and the use of supercapacitors in the battery system. The objective of the research on the bicycle lighting control system is to achieve stable and accurate control of light intensity with an average error rate of 5.887%, a recovery time of 1.032 seconds, and power consumptionranging from 2.784W to 8.664W. The objective of the hazard warning system using a buzzer is to create an automatic warning system based on Mamdani fuzzy logic, where the experimental PWM output matches the PWM output from the fuzzy design in MATLAB. The purpose of the PID control research is to enhance the performance of the bicycle's BLDC motor, aiming to reduce overshoot by 80%, rise time by 50%, and settling time by 50%. The experimental results of the implemented supercapacitor battery system demonstrate a decrease in the maximum voltage output from 42.2V to 35.5V and a reduction in the battery'speak current from 19.1A to 16.9A. Furthermore, the output power exhibits an average decrease from 679.172W to 586.508W. Keywords: PID, Light, Buzzer, Supercapacitor
ANALISIS PENGARUH EXTERNAL HUMIDIFIER TERHADAP KINERJA OPEN CATHODE PROTON EXCHANGE MEMBRANE FUEL CELL Adrio Irfan Fauzi; Waru Djuriatno; Eka Maulana
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Fuel cell is one of the environmentally friendly renewable energy generators. The fuel cell requires oxygen and hydrogen which act in the membrane so that it can generate electricity. The results of the reaction that occurs in the fuel cell are electricity, heat and water so that it is more environmentally friendly. However, as a generator of renewable electrical energy, fuel cells have several drawbacks, including the need for balanced oxygen and hydrogen pressure, proper working temperature and proper humidity in order to maintain the performance of the fuel cell itself. This fuel cell stack requires optimal humidity in order to maintain the performance of the fuel cell itself. An external humidifier is one of the solutions to keep fuel cell moisture in order to make its performance more efficient. In this study, a humidifier system is applied which utilizes vibrations from an ultrasonic humidifier to convert water into a gas phase and a fan as a medium for transporting water vapor to the fuel cell. Water in the gas phase will mix with the surrounding air which will be absorbed by the open cathode fuel cell. In this system, DHT 22 functions as a moisture detector around the fuel cell as feedback so that the controller can maintain the ambient humidity value.
RANCANG BANGUN PROTOTIPE MESIN PEMOTONG PLAT BESI DUAL AXIS BERBASIS ESP-32 TERINTEGRASI APLIKASI SMARTPHONE Raihan Zhifhanur Muhammad; Mochammad Rusli; Bambang Siswojo
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Iron plates in the industry must go through a forming process such as cutting before being used as needed. One of the machines that can be used in cutting iron plates is CNC (Computer Numerical Control). However, the cost of CNC is quite expensive that small industries in particular cannot afford to use these machines. The purpose of this research is to design a prototype dual axis iron plate cutter that uses the ESP-32 microcontroller as a control center that can integrate with the RemoteXY application on a smartphone. This research will be carried out by designing the assembly of electronic sub-components supporting the system, designing the microcontroller algorithm, and designing the RemoteXY application that is used to communicate with the system. Based on the test, the design of the tool made complies with the expected specifications where the tool is able to simulate cutting iron plates in line shapes with automatic or manual modes. On the rotary encoder, the distance reading error was 0.577% for X axis and 0.7109% for Y axis. Both motors are able to function properly with a load voltage close to 50% of the 17-volt input voltage, namely 6.764 volts with load and 8.586 volts without load For the X axis and 7.07 volts with load and 8.515 volts without load for the Y axis. the input and output circuits can work as they should to receive input and control the output. The user interface used using RemoteXY also works well in accepting input, managing output, and using all the features created. Keywords: ESP-32, RemoteXY, Iron Plate, Rotary Encoder, DC Motor
RANCANG BANGUN WEBSITE AUDIT ENERGI Muhammad Ilham Margatama; Rini Nur Hasanah; n/a Nurussa’adah
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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This study aims to create a website audit energy. With this website, it is hoped that the energy audit mechanism and audit database storage will be simpler, easier, more efficient, and widely used. This energy audit website design uses JavaScript. In the process of designing an energy audit website, processing and storing load data uses the cloud as a database. This load data will be connected to the website appearance through the reading process in the listing writing program. So, the architecture is front and access the API on the server. The server stores data in the cloud. This research was conducted in 4 experimental buildings with different loads. The IKE values for buildings used in the first, second, third and fourth trials are 12.7430 kWh/m²/month and 152.9160 kWh/m²/year, 1.9127 kWh/m²/month and 22.9524 kWh/m²/year, 21.3067 kWh/m²/month and 255.6804 kWh/m²/year, and 4.974 kWh/m²/month and 59.688 kWh/m²/year. From the calculation of IKE per month, it can be concluded that the use of electrical energy in the first, second, third and fourth buildings falls into the categories of quite efficient, quite efficient, wasteful and very efficient. The costs incurred per month for the first, second, third and fourth buildings are IDR 5,522,972.52, IDR 552,655,538, IDR 2,154,729.598, and IDR 5,748,871.59. Calculations using the website and also manually have the same value, so the website is functioning properly. From the similarity of results obtained, it shows that the website is running well. Using this website can make it easier to audit a building, shorten time, can be accessed anytime and anywhere as long as there is aninternet connection, and is cost effective. Keywords: Energy Audits, Clouds Computing, JavaScript, NodeJs, ReactJs
KLASIFIKASI MUTU BUAH JAMBU KRISTAL BERDASARKAN BERAT DAN WARNA MENGGUNAKAN LOGIKA FUZZY MAMDANI Ruri Ridha Rajwari; Raden Arief Setyawan; Muhammad Aziz Muslim
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Crystal guava is a new guava variety that was developed in Taiwan in 1991, then developed in Indonesia in 2009 until now. The advantages of crystal guava lie in its size, taste, and color. In the commercialization of crystal guava fruit, a certain standard is used as a guarantee of crystal guava fruit quality. The quality grade of crystal guava fruit is determined based on severalparameters, including fruit weight and color. Generally, the process of sorting crystal guava fruit is done by utilizing human labor. To sort crystal guava fruit in large quantities, several workers are needed so that all crystal guava fruit can be sorted. The number of workers also affects the speed of the sorting process. In addition, although there are the same standard criteria, the sortingprocess with human labor will be more subjective according to each worker's assessment. Workers' mental and physical conditions, such as fatigue, lack of focus, or others, can affect workers' assessments. Therefore, a decision-2 making system is needed that can work consistently in determining the grade of crystal guava fruit accurately and objectively according to standard criteria with a uniform assessment point of view. In an effort to help run the crystal guava fruit sorting process, a crystal guava fruit quality classification system based on weight and color using mamdani fuzzy logic was developed. Based on the test results, it shows that the applied mamdani fuzzy logic algorithm is able to classify the quality of crystal guava fruit with an accuracy value of 96%. Keywords : Crystal Guava, Quality, Classification, Fuzzy Mamdani
DETEKSI TINGKAT KEMATANGAN BERDASARKA WARNA BUAH JAMBU KRISTAL MENGGUNAKAN IMAGE PROCESSING n/a Angellica; Raden Arief Setyawan; Muhammad Aziz Muslim
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Crystal guava is a new guava variety that was developed in Taiwan in 1991, then developed in Indonesia in 2009 until now. Crystal guava is unique in terms of its texture and general shape. The advantages of crystal guava lie in its size, taste, and color. Fruit ripeness is usually determined by several parameters, including textural characteristics, fruit color and aroma, and others. Color is one of the parameters in crystal guava fruit ripeness. In determining the ripeness of crystal guava fruit based on color manually with the human visual eye, it has several disadvantages. Some of them are requiring more labor to sort the fruit, the assessment of ripeness by humans which is subjective and inconsistent in the point of view of vision between one assessor and another, and mental and physical workers such as fatigue, lack of focus and others can also affect the detection of the level of ripeness of crystal guava fruit. This tool was developed in order to help detect the level of ripeness of crystal guava fruit based on color moreconsistently according to the needs of crystal guava fruit farmers and the fatigue and lack of focus of workers can be avoided. Based on the test results show that the camera used is able to detect edges with a kernel size matrix value of 21x21. The camera can also detect the color hue of crystal guava fruit with the threshold value of canny edge detection is 40 and the threshold2 value is 150. Based on the test results it can also be concluded that the system has been tested with an accuracy value of detecting the level of ripeness based on the color hue of the crystal guava fruit of 96% and has an error of 4% of 100 samples of crystal guavafruit tested. Keywords : Crystal guava, Hue, Ripeness Level, Edge detect
PERANCANGAN TIMBANGAN DIGITAL DILENGKAPI PENGUKURAN VOLUME DAN KALKULASI TARIFJASAPENGIRIMAN BARANG BERBASIS ESP32 Thoriq Ramadhan Al Hikmah; n/a Nurussa’adah; Rusmi Ambarwati
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Goods delivery services are service to handle all activities necessary for thedelivery and receipt of goods intended to represent the interests of the owner of thegoods. However, currently to determine the shipping rate of goods is still usingtheconventional method, namely by first weighing the goods to find out the weight of thegoods and measuring the length, width, and height to find out the volume of the goods, then accessing the database on the computer to find the shipping rates fromone city to another. After that, do manual calculations using a calculator on the weight of goods and intercity rates to get the total freight rate. Based on the problems previously described, a tool is needed to speed up the process of setting shipping rates to be more ef ective and ef icient. In this study, the design of digital scales was carried out with the measurement of object volume and calculation of shipping rates for goods delivery services based on ESP32. Based on testing the HY-SRF05 sensor (length, width, height) using an object at a predetermined distance with a ruler incomparison, the results obtained from testing the accuracy of the HY-SRF05 sensor (length) with an error percentage of 1.11%, HY-SRF05 sensor accuracy (wide) withan error percentage of 0.55%, the accuracy of the HY-SRF05 sensor (high) withanerror percentage of 1.11%. Based on testing the HY-SRF05 sensor (length, width, height, and volume) using various boxes with dif erent dimensions compared toaruler, the accuracy of measuring objects (length, width, height, and volume) usingvarious boxes obtained an average the average percentage of the overall error is1.65%. Based on testing the load cell sensor with 5 diferent positions inthemeasurement area, the accuracy of the load cell sensor was obtained with an overall average error percentage of 11.8%, and the function of calculating the freight forwarder's service rate worked well according to predetermined specifications. Keywords: Digital Scales, Goods Delivery Services, ESP32, HY-SRF05, Load Cell
EKSTRAKSI CIRI BERDASARKAN KARAKTERISTIK DINAMIS SINYAL MULTISENSOR MENGGUNAKAN PRINCIPAL COMPONENT ANALYSIS Muhammad Akbar; Adharul Muttaqin; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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This research aims to perform feature extraction on the dynamic characteristics on dynamic characteristic data on multisensor data. The training data consists of aroma recordings from 6 different species of mint at the Botanical Institute of Karlsruhe Institute of Technology (KIT), Germany, recorded using 12 different sensors. The dataset consists of 28,746 data points collected over a period of 175.52 minutes. The data underwent preprocessing to address spiking issues and standardize the data. Three testing stages were conducted, which are Performance testing of Feature Extraction using raw data, Performance testing of Feature Extraction using Piecewise Linear Regression (PLR) Data, and Performance testing of a Classification Model using the k-Nearest Neighbor (k-NN) algorithm. Feature Extraction was performed using the PCA technique to obtain Principal Component (PC) values of the reduced-dimensional data. For the Feature Extraction using raw data, PC1 had a value of 96.35% and PC2 had a value of 1.84%. Meanwhile, for the Feature Extraction using 12 PLR data, PC1 had a value of 95.95% and PC2 had a value of 1.88%. And for the Feature Extraction using 24 PLR data, PC1 had a value of 95.77% and PC2 had a value of 1.75%. The evaluation testing of the Feature Extraction results employed a machine learning model with the k-NN method. The training results showed that the k-NN model using raw data before PCA Feature Extraction achieved an Accuracy of 95.67% with a computation time of 0.3 seconds, and after PCA Feature Extraction, it achieved an Accuracy of 98.7% with a computation time of 0.19 seconds. In contrast, the k-NN model with 12 PLR Pre-processing before PCA Feature Extraction obtained an Accuracy of 56.67% with a computation time of 0.049 seconds, and after PCA Feature Extraction, it achieved an Accuracy of 85.83% with a computation time of 0.041seconds. Similarly, the k-NN model with 24 PLR Pre-processing before PCA Feature Extraction obtained an Accuracy of 61.67% with a computation time of 0.071 seconds, and after PCA Feature Extraction, it achieved an Accuracy of 90.21% with a computation time of 0.063 seconds. These results indicate that PCA Feature Extraction successfully improved the Accuracy of the prediction model, even when the data dimensions were reduced. The development of this system can serve as an alternative for various data analysis and machine learning algorithms. Keywords: Multisensor, Quartz Cristal Microbalance (QCM), Principal Component Analysis (PCA)
IDENTIFIKASI JENIS GAS BERDASARKAN DATA MULTISENSOR DENGAN MENGGUNAKAN RECURRENT NEURAL NETWORK (RNN) Bagus Esa Pramudya; Adharul Muttaqin; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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This research aims to develop a method for identifying gas types based on multisensor data using Recurrent Neural Network (RNN) in the context of Electronic Nose (E-Nose) application. The method utilizes Quartz Crystal Microbalance (QCM) sensors that respond to changes in oscillation frequency to detect gases. The data used in this study were obtained from QCM sensor measurements on six species of mint at the Botanical Institute of Karlsruhe Institute of Technology (KIT), Germany, recorded by Shalih Okur. Through the training process using RNN models with ReLU and LeakyReLU activation functions, training accuracies of 98.84% with a computation time of 326 seconds (ReLU) and 97.78% with a computation time of 267 seconds (LeakyReLU) were achieved. Furthermore, in the identification phase, the RNN model achieved accuracies of 79% with a computation time of 10 seconds (ReLU) and 85% with a computation time of 4 seconds (LeakyReLU). These findings indicate the potential of the RNN method for gas type identification based on multisensor data, with a focus on QCM sensor usage. Thus, the results of this study demonstrate the effectiveness of the RNN method in identifying gas types based on multisensor data, particularly when utilizing QCM sensors. Keywords: Multisensor, Recurrent Neural Network (RNN), Gas identification
PENINGKATAN PERFORMA DETEKTOR PENCURI IKAN DENGAN KALMAN FILTER DI KERAMBA APUNG GILI KETAPANG Mahdiyafi Rahardicahya; Akhmad Zainuri; Muhammad Fauzan Edy Purnomo
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Gili Ketapang Island is one of the strategic areas for marine conservation in East Java, offering various main activities such as snorkeling, diving, recreational fishing, religious tourism, both traditional and modern fishing, and the development of marine cultivation through floating net cages. Floating net cages are becoming increasingly popular as a method of fish cultivation in Indonesia. However, fish theft in floating net cages remains a frequent and significant problem for fish farmers, causing substantial losses. Therefore, a fish theft detection device is needed to help reduce cases of fish theft in floating net cages. In order to develop this fish theft detection device, the use of PIR sensors and accelerometers is required. PIR sensors detect human movements entering or exiting the sensor's range, while accelerometers are used to measure the angles generated by ocean waves, which will be set as triggers for the PIR sensor. The characteristics of PIR sensors and accelerometers are crucial indetermining the accuracy and reliability of the fish theft detection device. Therefore, in-depth research on the characteristics of PIR sensors and accelerometers to be used in the fish theft detection device in floating net cages is necessary. As a result, it is expected that the detection device will work effectively and assist fish farmers in preventing fish theft in floating net cages. Keyword: Gili Ketapang Island, Fish Theft, Floating Net Cages, PIR Sensor, Accelerometer

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