IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
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Penerapan Kawat Litz Pada Motor BLDC Untuk Peningkatan Gaya Dorong Per Daya
Full text linkCopper loss can cause a decrease in performance in BLDC motors, so efforts will be made to reduce copper loss by using Litz wire. Additionally, there have been studies that simulate the performance of Litz wire, but they have not been directly applied, especially to propeller thrust. The objective of this research is to implement Litz wire in a BLDC motor and analyze its performance for an increase in propeller thrust per power. The BLDC motor is wound with single wire and Litz wire. The analysis conducted compares the resistance, copper loss, thrust force, and thrust-to-power ratio of the single wire and Litz wire with the same wire cross-sectional area. The BLDC motor is equipped with a propeller to measure the thrust force. The average resistance of the single wire is 0.43 Ohms, while the Litz wire is 0.38 Ohms. The copper loss of the Litz wire is 7% lower than a single wire. The Litz wire exhibits a 3% improvement in thrust force compared to the single wire in the testing. The thrust-to-power ratio of the Litz wire is also 3% better during the testing.
Analisis Spesifisitas Terhadap Sensor NPK
Full text linkInsufficient use of fertilizers results in non-optimal plant growth, while excessive use is wasteful and results in pollution. Sensor usage is one method for measuring the nutrient content in the soil so that the fertilization process can be carried out precisely. Accuracy, precision, and error are commonly used in analyzing sensor quality. But for chemical measurements, the specificity also needs to be analyzed. This is because the soil contains various types of nutrients, so it is necessary to know whether the readings from the sensor only come from the desired nutrients or the others. In this writing, the elements measured were N, P, and K which are nutrients needed by plants in large quantities. The sensors were tested using compounds containing N, P, or/and K elements and NPK fertilizers with different NPK ratios. Results of this study prove that the sensor is not specific as the readings are known to use the electroconductivity method as proved by the regression results between the two variables which have R² ≈ 1 correlation. In addition, the sensor also produces readings for elements/compounds that should not be read and cannot distinguish the ratio of types of compound NPK fertilizer with different types
Monitoring Ketinggian Air dan Curah Hujan Dalam Early Warning System Bencana Banjir Berbasis IoT
Full text link Floods are natural disasters where there is an excessive volume of water that dampens the land. If left unchecked, flooding can bring disease, cause environmental damage and hinder people's mobility. Therefore, we need a system that can provide early warning to the community before a flood occurs. As technology develops, we can monitor the water level in an area to anticipate flooding. This concept is called the Early Warning System (EWS). IoT can help with real-time and continuous monitoring and warning of floods. IoT can also monitor air levels remotely. The MQTT protocol research also uses water level and rainfall sensors as data for flood detection. This system will detect water level and rainfall in real time. If the water level and rainfall reach a certain limit, the system will provide a warning to local residents via chatbot. There are 3 types of alerts in this system. Monitoring results are also displayed via the dashboard and sensor readings will be stored in the cloud database. The evaluation results show that the designed system can work well in providing flood early warning. Bots on Telegram have also sent notifications with an average delay of 0.561 seconds
Klasifikasi Suara Untuk Memonitori Hutan Berbasis Convolutional Neural Network
Full text linkForest has an important role on earth. The need to monitor forest from illegal activities and the types of animals in there is needed to keep the forest in good condition. However, the condition of the vast forest and limited resource make direct forest monitoring by officer (human) is limited. In this case, sound with digital signal processing can be used as a tool for forest monitoring. In this study, a system was implemented to classify sound on the Raspberry Pi 3B+ using mel-spectrogram. Sounds that classified are the sound of chainsaw, gunshot, and the sound of 8 species of bird. This study also compared pretrained VGG-16 and MobileNetV3 as feature extractor, and several classification methods, namely Random Forest, SVM, KNN, and MLP. To vary and increase the number of training data, we used several types of data augmentation, namely add noise, time stretch, time shift, and pitch shift. Based on the result of this study, it was found that the MobileNetV3-Small + MLP model with combined training data from time stretch and time shift augmentation provide the best performance to be implemented in this system, with an inference duration of 0.8 seconds; 93.96% accuracy; and 94.1% precision
Pengendali Wireless Mobile Robot Arm (WMRA) Berdasarkan Gestur Lengan Menggunakan Sensor Accelerometer dan Logika Fuzzy
Full text linkTelerobotik adalah sistem pengendali robot dalam jarak jauh yang membutuhkan campur tangan manusia sebagai operator (Human-in-the-Loop). Pada penelitian sebelumnya, mobile robot manipulator dikendalikan berdasarkan gestur jari operator melalui image processing menggunakan metode template matching dengan komunikasi melalui kabel. Sehingga pada penelitian selanjutnya, dibuat sistem kendali robot berdasarkan gestur lengan menggunakan sensor accelerometer dan logika fuzzy dengan komunikasi nirkabel melalui jaringan internet. Robot yang dikendalikan terdiri dari robot arm 2 dof dan robot non-holonomic dengan 4 roda. Sistem kendali robot terdiri dari 2 sensor accelerometer yang terpasang pada lengan operator. Juga terdapat sensor hall-effect sebagai kendali gerak gripper. Metode fuzzy sugeno diterapkan pada sistem kendali gerak mobile robot agar didapatkan respon robot yang dapat bergerak secara bebas berdasarkan gestur lengan operator. Berdasarkan analisa dan data pengujian didapatkan hasil bahwa robot dapat dikendalikan dengan cukup baik
Design and Build Hydroponic Installations and Applications Using IoT-Based Multisensors with Solar Panel Electrical Energy
Full text link This research designs an IoT-based hydroponic installation using a NodeMCU 8266 microcontroller equipped with multi-sensors such as temperature, humidity, air pressure, flow, pH, TDS (Total Dissolved Solid), and EC (Electrical Conductivity) sensors that will be wirelessly connected to controlling devices using Arduino IDE, Firebase, and MIT APP Converter software and using renewable energy in the form of Solar Panels. The expected result is the creation of innovation in the field of agricultural technology, especially in plant cultivation techniques with hydroponics. With this tool, the user can fully monitor all information about the state of the plant-growing environment. From the tests that will be carried out later, researchers hope to produce test data on every sensor reading, pump motor activation, and data delivery response from application from tool and otherwise
Sistem Pengering Daun Kelor Berbasis Internet of Things dan Artificial Intteligence
Full text linkDrying Moringa leaves is needed to reduce the water content so that the Moringa leaves become fresh and can be used for the following process. Drying Moringa leaves to change the water content from 80% to 9.2% requires ideal heating conditions because the heating speed must not damage the nutritional content in the leaves. Developing an existing drying system using IoT to monitor humidity and temperature to increase the drought stability of the Moringa leaves produced. By using IoT, it is hoped that drying conditions can be watched from anywhere and recorded so that if undesirable things happen, it will be easier to track the history of the drying process that has taken place. This system is also connected to a recommendation system using an Artificial Neural Network (ANN). This system will provide recommendations for the best conditions for Moringa flour production because various external factors influence the drying of Moringa leaves. Utilization of the ANN model can recognize data patterns in seasonal time series. The results of implementing the Moringa leaf drying machine can reduce the time by 120 minutes faster than the previous too
Penghematan Daya Pada Sensor Node Sistem Monitoring Kualitas Udara
Full text linkSistem monitoring kualitas udara merupakan sistem yang digunakan untuk mengetahui indeks kualitas udara disuatu wilayah. Sensor node merupakan perangkat pengumpulan data berbasis mikroprosesor yang ditempatkan di wilayah yang dimonitor. Terkadang lokasinya berupa area terpencil dengan ketersediaan daya listrik minimal. Padahal sensor node memerlukan daya yang cukup besar terutama saat pengambilan dan pengiriman data. Oleh karena itu, diperlukan suatu sistem penghematan daya. Pada makalah ini dipaparkan sebuah rancangan sistem penghematan daya pada sensor node dengan cara memutus arus ke modul sensor pada saat tidak digunakan untuk pengambilan dan pengiriman data. Rangkaian pensaklaran MOSFET digunakan untuk memutus arus. Pengaturan jeda waktu pengambilan, pengiriman data, dan pengaktifan hemat daya, dilakukan oleh mikrokontroler. Hasil pengujian menunjukkan bahwa terjadi penghematan pemakaian energi pada sensor node sebesar 64 %. Total pemakaian energi yang digunakan selama 5 jam juga terjadi pengurangan, dari yang sebelumnya menggunakan energi sebesar 76.620 Wdtk menjadi sebesar 27.360 Wdtk
Rancang Bangun Sistem Deteksi Posisi Objek dalam Rumah dengan Metode Support Vector Machine Berdasar Kekuatan Sinyal Wi-Fi
Full text link Indoor Positioning System (IPS) is an object tracking technology that utilizes networks such as Wireless Fidelity (Wi-Fi) to determine the location of an object. IPS is closely related to the implementation of the Internet of Things (IoT) to carry out an order in a smart home. However, the weakness of IPS is the attenuation of the signal received when the tag or target moves to a room that borders another room, causing errors in tracking. The IPS implementation will be carried out based on the 2.4 GHz Wi-Fi signal emitted from the ESP32.The research will use the trilateration method which requires three sink nodes to receive signal strength, then a machine learning algorithm, namely Support Vector Machine (SVM), to classify rooms in three different scenarios, namely when the target is stationary, moving between rooms, and is on the edge room adjacent to another room.The results of the test show that the three scenarios provide different levels of accuracy. The accuracy of the system on the target scenario while still in the room reaches 100%, on the target moving room scenario reaches 86.15%, and on the target scenario that is at the edge of the room adjacent to another room reaches 80%
Implementasi Sintesis Suara Saron Menggunakan Petikan Senar Gitar Dengan Metode Pitch Shifting
Full text link Gamelan is traditional Indonesian musical instruments that is often used in traditional events and parties.The community's need for the gamelan has actually increased, but unfortunately the price of gamelan is very expensive and the gamelan itself is difficult to move from one place to another place. Besides that, the limited tones that can be played by gamelan reduce the level of public interest in playing this instrument. Current technological developments make it possible to perform voice synthesis with several methods. One method that can be used is pitch shifting.This study aims to generate a synthetic saron sound based on plucking a guitar string. Analysis of the saron sound signal in the frequency domain is carried out to obtain the semitone values needed in the synthesis process. Synthetic saron signal generation is done by calling synthetic saron sounds that are stored in soundfont form, with reference data in the form of high and low pitch obtained from the guitar input pitch detection. Onset detection of guitar strokes is used as the initial trigger for calling out synthetic saron tones. The test was carried out by looking for similarities between the sound data of the original saron and synthetic saron using the cross-correlation method. The test results obtained a similarity accuracy rate of 91.6%. On the results of testing the guitar strum signal with the generation output, the average delay time for each strum is 0.152 seconds. From the results obtained, the system is classified as fast and accurate enough to be implemented in everyday life