IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
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Perancangan dan Pengukuran Topi COVID-19 Reminder dengan Sensor Ultrasonik HC-SR04
Get PDF The development of ultrasonic sensor technology used for suitable equipment is widely carried out, such as distance sticks for the blind, floor cleaning robots, automatic garbage boxes, height measuring instruments, water volume detectors, automatic dispensers, automatic hand sanitisers, etc. During the COVID-19 pandemic, a product that can be used to limit the distance between humans is needed, so this research is focused on products for measuring distances with ultrasonic sensors. The research design method used is research and development, using the Borg and Gall approach, with step information collecting, planning, development, testing, final product and implementation. The results of this research product are designed using Arduino nano v3 hardware, battery, buzzer, and ultrasonic sensor HC-SR04. Product design was registered with Industrial Design Intellectual Property Rights with registration number A00202102408. The results of measuring the quality of the ultrasonic sensor for measuring distances on flat objects show an average error percentage of 2.94% from 10 cm to 300 cm with a distance range of 10 cm. Tests on obstacle objects (humans) at an angle of zero degrees and 15 degrees showed the best farthest measuring distance at a distance of 150 cm. So 150 cm is the best distance to apply to the hat COVID-19 reminder. The development results show that the product is ready to continue in production and sales.
Controlling and Monitoring of Temperature and Humidity of Oyster Mushrooms in Tropical Climates
Get PDFControlling the temperature and humidity of oyster mushroom cultivation is done manually by spraying air on the mushroom container so it takes a lot of time and effort. This is done to meet the requirements for growing oyster mushrooms which are strongly influenced by temperature and humidity conditions so that they can grow well. In this study, a device for controlling and monitoring the temperature and humidity of oyster mushroom cultivation was made automatically based on Arduino UNO. This tool can regulate and monitor the temperature and humidity in oyster mushroom cultivation automatically so that the temperature and humidity can be maintained without having to spend a lot of time and effort. The components used in building the automatic temperature and humidity controller for mushroom cultivation based on the Arduino UNO are the dht11 sensors, Arduino UNO, L298N driver, relay, and 16x2 I2C LCD. From the results of the tests that have been carried out, it can be concluded that the temperature and humidity control and monitoring device for automatic oyster mushroom cultivation based on Arduino UNO has been able to work well in regulating and monitoring temperature and humidity as expected
Sistem Peringatan Tingkat Kerentanan Bangunan Berbasis Sensor IMU dengan Metode Fuzzy
Get PDFNegara Indonesia merupakan salah satu negara yang memiliki potensi besar terhadap terjadinya gempa bumi. Bangunan yang merupakan salah satu infrastruktur yang sangat penting bagi kehidupan manusia, merupakan sasaran utama bagi bencana alam gempa bumi yang sering terjadi dan dapat menimbulkan kerusakan yang tidak terduga. Oleh karena itu, diperlukan sebuah sistem peringatan yang dapat mengukur dan mengamati getaran yang terjadi dengan besar tertentu untuk mengetahui tingkat kerentanan bangunan tersebut.Sistem ini menggunakan metode logika fuzzy Mamdani dengan proses defuzzyfikasi centroid. Logika fuzzy tersebut digunakan pada sistem peringatan untuk menentukan tingkat bahayanya. Masukan dari sistem terdiri dari nilai resonansi bangunan dan nilai simpangan bangunan. Masukan tersebut diperoleh dari pembacaan sensor IMU MPU6050. Proses defuzzyfikasi menghasilkan nilai keluaran crisp berupa rentang keputusan alarm. Data yang diolah dari pembacaan sensor ditampilkan dalam web server sebagai antarmuka. Berdasarkan hasil pengujian sistem peringatan tingkat kerentanan pada purwarupa bangunan yang telah dilakukan, akurasi logika fuzzy mencapai 95% dari 20 kali pengambilan data. Sistem peringatan yang dirancang dapat berjalan secara real time. Secara keseluruhan proses mulai dari pembacaan sensor hingga akuisisi data dapat berjalan dengan baik.
Sistem Pengawasan Physical Distancing di Tempat Umum Menggunakan Kamera Berbasis Deep Learning
Get PDFPembatasan jarak fisik merupakan salah satu cara yang diterapkan untuk mencegah penyebaran virus pada tempat umum. Pelaksanaan pembatasan jarak fisik tersebut memerlukan pengawasan agar berhasil sesuai harapan. Pengawasan yang dilakukan secara manual terutama pada tempat dengan tingkat keramaian tinggi kurang efektif karena memerlukan banyak petugas di lokasi yang justru akan menambah keramaian.Pada penelitian ini dikembangkan purwarupa sistem pengawasan pembatasan jarak fisik dengan memanfaatkan kamera CCTV dengan pemrosesan citra digital berbasis computer vision dan deep learning. Metode yang digunakan adalah kombinasi pendeteksian dan pelacakan pedestrian dengan YOLOv4 dan DeepSORT. Metode trigonometri digunakan dalam proses estimasi jarak untuk mendeteksi pelanggaran pembatasan jarak oleh pedestrian. Pada penelitian ini didapatkan hasil pengujian dengan nilai terbaik recall 0,86; precision 0,69 dan mean average precision (mAP) sebesar 0,83 dengan metode pelatihan transfer learning model YOLOv4 dengan maksimum batch 6000 menggunakan 473 data latih dan 119 data validasi. Keseluruhan sistem mencapai kecepatan rata-rata proses real-time yakni pada 24 sampai 26 FPS
Pemodelan Harmonik untuk Pelafalan Makhraj Huruf Hijaiah
Get PDFLearning to pronounce hijaiah letters needs to be assessed objectively, so it is necessary to form digital audio resulting from the synthesis of Harmonic Plus Residual (HPR) modeling, which conducted with two pronunciation methods, taskin and tasydid. The experiment consists data acquisition, signal cutting, framing and windowing, detection of fundamental and harmonic frequencies, synthesis of HPR, to produce synthetic signals. The results of the synthetic signals then analyzed qualitatively by signal spectrogram analysis and scoring.From the experimental results, it can be concluded that this study was ultimately unable to determine the best HPR parameters, but concluded that the tasydid method was the best method for learning pronunciation and for the HPR model synthesis. This is because the tasydid method with different parameters but all of them can produce good synthetic signal, both in terms of comparative analysis of similar signal spectrograms and from the results of scoring with an average value of 10. On the other hand, the taskin method harf shows unsatisfactory results, where the synthetic sound is mostly just noise, so the scoring results is under 9, and is reinforced by the results of the spectrogram comparison between the original and synthetic signals which visually different
Analisis Gap Evaluasi Kualitas Sistem E-Learning di Universitas Ibn Khaldun Bogor
Get PDFA GAP analysis has been conducted on the evaluation of E-Learning systems of LMS UIKA Bogor. Five (5) subjects of discussion in this study, namely include Structured Learning Methods, Unstructured Learning Methods, Population and Samples, E-learning User Activity Record, Evaluation of Results. Process of evaluating the results of a calculation of the System Usability Scale (SUS). Judging from usability or usefulness the e-learning system is feasible. With the following details: a. Based on acceptability ranges, the e-learning falls into the accepted category, b. Based on the grade scale, included in grade C where the SUS score produced is 79, c. Based on adjective ratings, the value is between a score of 70-80 which means it falls into the range of good categories. The results of the usability evaluation of LMS UIKA Bogor products stated that overall, were acceptable or feasible
Analisis Unjuk Kerja K-Nearest Neighbour untuk Klasifikasi Citra Aksara Bali Tulis Tangan
Get PDF A lack of philologists and the vulnerability of palm leaf material have become triggers for the scripting automation or transliteration of Balinese script images on computer-assisted palm leaves. One possibility to solve this problem is to create a transliteration machine. We proposed a machine learning technique using the k-NN algorithm to create a transliteration of Balinese script images. The benefit of the kNN algorithm is simply working by matching the similarity of new data to the nearest test data. Instead of focusing on the classification technique, the study approaches also analyze the two previous processes: the first process is an image preparation process consisting of binarization, cutting the blanks, equalizing size, and thinning. The second is a feature extraction process using the character intensity algorithm. Our experiment employed 18 classes representing 18 Balinese characters. The optimal accuracy using a 3-fold cross-validation method to 1001 image data yields an average of accuracy is 84.746%. Although the image data used is handwritten, however, kNN algorithm performed classification well using an extensive training dataset. For that reason, the kNN algorithm could be potential for Balinese script images transliteration
Seleksi Fitur dengan Artificial Bee Colony untuk Optimasi Klasifikasi Data Teh menggunakan Support Vector Machine
Get PDFTea quality can be recognized through the aroma it produces. Tea classification using e-nose generally only detects aroma using a general gas sensor. However, redundancy of sensor features can cause a decreasing in the system performance. Therefore we need a system that can select features so the classification performance becomes optimal. A software system of feature selection was built to optimize classification performance. Input data for the system is e-nose sensor response to 3 black tea qualities. The features are sensors on the e-nose instrument. Feature selection is implemented using wrapper approach, ABC algorithm is used for feature selection, then the selected features are evaluated by SVM classification. The results of the ABC-SVM system are then compared with the SVM only system. The results showed that from 12 e-nose sensors, sensors that most characterized black tea quality were TGS 2600, TGS 813, TGS 825, TGS 2602, TGS 2611, TGS 832, TGS 2612, TGS 2620 and TGS 822. Meanwhile, MQ-7, TGS 826 and TGS 2610 sensors are redundant in the system because the gas detected by the 3 sensors can be represented by other sensors. With the reduction in features to 9, the classification accuracy performance increased by 16.7%
Rancang Bangun Sistem Irigasi Otomatis Berbasis RTC Menggunakan Solar Panel
Get PDFSinarancang Village, Mundu District, Cirebon Regency is one of the best agricultural producing villages in Mundu District. Agriculture will become more productive as a result of developments and new technologies such as sensors, devices, and information technology that can group data into big data. Watering with the manual method is less effective because it requires time,effort, and operators who cannot leave the land for a long time. Therefore, an Automatic Irrigation System based on solar panels was created and implemented. This system uses Real Time lock (RTC) as a time calculator. The type of RTC used is the RTC DS 1307 which is compatible with Arduino. Solar Panels are used as a substitute for PLN's power supply. System components consist of solar panels, control boxes, pumps, and nozzle taps. The system has been tested and the voltage to activate the pump is about 12volts. The time interval for circulating air in the nozzle faucet when the pump is active is about 6-10 seconds. The system is implemented on dry land by utilizing air sources from higher ground so that it is effective for the watering syste
Smart Farming Untuk Pengaturan Suhu Ruangan Pada Budidaya Jamur Tiram Berbasis Backpropagation
Get PDFThe problem with mushroom cultivation is the difficulty of regulating the room temperature of mushrooms, especially oyster mushrooms. The optimal production of oyster mushrooms is at temperatures between 25 C - 27 C. To regulate or manipulate humidity and room temperature to water the kumbung or mushroom room. The watering process is carried out several times to stabilize the room temperature during the day.To overcome the watering that is done manually, Automatic Temperature Control and Monitoring of Oyster Mushrooms Based on GSM Sim800l Arduino Uno is made. This tool uses a DHT11 sensor, relay, 16x2 LCD, GSM Sim 800L, and Stepdown. The test was carried out in a mushroom kumbung measuring 10.7m long, 5.9m wide, and 3.5m high. Watering time is done by observing the data at room temperature. The data is then studied using a backpropagation. This method aims to identify the pattern of watering time so that the optimal watering time is produced. The test results show that the tool can monitor the temperature and humidity of the kumbung mushroom with the following values: temperature 27°C - 33°C and humidity 70% - 90%. The introduction of mushroom watering patterns with BPNN showed an error rate of 40%