PENGATURAN KECEPATAN GERAK KURSI RODA ELEKTRIK SAAT MELINTASI JALAN MENANJAK DAN MENURUN BERBASIS SUBJECT INTENTION VARIABLE SPEED MENGGUNAKAN SINYAL BIOELECTRICAL IMPEDANCE

Pengaturan kecepatan gerak kursi roda saat melintasi jalan menanjak dan menurun berbasis subject intention variable speed menggunakan sinyal bioelectrical impedance adalah Penelitian yang memanfaatkan sinyal bioelectrical impedance (bioimpedance) tubuh sebagai pengaturan kecepatan gerak kursi roda saat melintasi jalan menanjak dan menurun, dimana terdapat tiga kecepatan yang dapat dipilih oleh pengguna kursi roda sesuai dengan yang diinginkan, tiga variabel kecepatan tersebut adalah kecepatan 1, kecepatan 2 dan kecepatan 3, masingmasing sebesar 17,6 meter permenit, 26,4 meter permenit dan 35,2 meter permenit. Penelitian ini perlu dilakukan karena dalam kehidupan sehari-hari banyak penderita kelumpuhan yang mendapat kesulitan untuk melakukan mobilitas, salah satu alternatif yang dapat digunakan untuk membantu penderita kelumpuhan adalah dengan bantuan kursi roda elektrik. Metoda yang digunakan dalam penelitian ini adalah metoda kontrol PID dimana sinyal bioimpedance digunakan sebagai pengatur kecepatan gerak kursi roda elektrik dengan sensor rotary encoder dan gyroscopo digunakan untuk umpan balik metoda kontrol PID. Pada penelitian ini metoda kontrol PID digunakan sebagai kontrol kestabilan kecepatan kursi roda saat melintasi jalan menanjak dan menurun. Hasil dari pengujian menunjukkan keberhasilan memberikan perintah kontrol rata-rata sebesar 77% untuk pengujian pada jalan datar dan 76% pada jalan tanjakan maupun menurun, dengan RMSE sebesar 3,24 meter permenit untuk pengujian di jalan datar, 6,32 meter permenit untuk pengujian di jalan tanjakan dan 5,10 meter permenit untuk pengujian di jalan menurun. Persentase perbandingan antara RMSE kecepatan kursi roda terhadap rata-rata set point selama pengujian sebesar 0,24 % pada pengujian di jalan datar, 0,5 % pada pengujian di jalan tanjakan dan 0,57 % pada pengujian di jalan menuru

Blind Cane Using 2 Axis Servo with Fuzzy Logic Method

Based on data from the Ministry of Health and the Central Bureau of Statistics, it is known that the number of people with disabilities, especially the visually impaired, is 1-1.5% of the total 237 million Indonesian population, which is around 3.75 million blind people. A tool often used to accommodate them is a cane used to feel the ground if there are downgrade and obstructions in front of them. In this study, researchers developed the previous research on blind cane using a 2 axis servo. It was classified using the Fuzzy Logic programming method, which was processed using the Arduino Nano 328P microcontroller. The results of the test on respondents with visual impairments were that they feel accommodating with the tool because the cane users can easily find obstructions with the Navigation Instruction so that they can easily avoid Static obstructions (Static Objects)

Motorized Driving Safety System Using Eye Detection Analysis Method

Traffic accident, particularly two-wheeled vehicles, is a problem for the Government, especially the Resort Police Traffic Unit (Satlantas Polres). The factor that causes the traffic accident incident is divided into three types, namely human factor, vehicle factor, and road or environment factor. The human factor is the most common factor for an accident. Fatigue factor that causes someone to feel sleepy while driving often results in a traffic accident. Based on the problem, the researcher wanted to create a technology innovation of a motorized driving safety system in the form of a helmet. The researcher made an innovation of a helmet that can detect drowsiness through the driver's eye blink duration. The drowsiness will be detected by using a camera sensor. The camera sensor used was Open MV camera. The method used in detecting sleepy drivers was the eye detection analysis method. The method enable detection based on the data of the duration of eye condition when it is closed and open. The closed eye has a low RBG mean value of 110-113 and an RBG median value of 99-109. Whereas opened eye has a higher RGB mean value of 179-206 and RGB median value of 178-206. The result of the research showed that someone's sleepy condition occurred when closing their eyes for more than 0.4 seconds to 4 seconds. The helmet is also equipped with GPS to monitor the position in the event of an accident as an emergency response effort

Perancangan Inverter Satu Fasa Berbasis Arduino Menggunakan Metode SPWM

Pada era berkembangnya teknologi saat ini, manusia tidak dapat terlepas dari kebutuhan energi listrik yang dapat menunjang pemakaian peralatan elektronik untuk setiap kegiatan rumah tangga maupun industri. Sebagian besar kebutuhan listrik memerlukan tegangan ac untuk mengidupkan peralatan listrik. Untuk tempat yang tidak terjangkau tegangan ac dapat menggunakan inverter sebagai alat konversi tegangan. Pada beberapa kasus, saat inverter melakukan konversi tegangan ditemukan beberapa kerusakan pada komponen dan penurunan kualitas output. Rancangan inverter pada paper ini menggunakan komponen yang menyesuaikan spesifikasi alat yang akan mengurangi timbulnya kerusakan pada rangkaian inverter. Arduino Nano digunakan sebagai pembangkit sinyal Pulse-Width Modulation (PWM). Penggunaan metode Sinusoidal Pulse-Width Modulation (SPWM) digunakan untuk menghasilkan tegangan dengan karakteristik gelombang sinus. Dari hasil yang didapatkan, inverter dapat bekerja dengan baik dan tidak mengalami kerusakan, namun output yang dihasilkan belum mencapai target spesifikasi, output tegangan dan arus yang dihasilkan memilki nilai kenaikan yang lebih stabil dan lebih tahan terhadap adanya tegangan jatuh

Perintah Kontrol Gerak Kursi Roda Elektrik Menggunakan Sensor Elektromiograf

Paralysis is a disease that can limit the mobility of the sufferer. One solution that can help people with paralysis in carrying out their mobility is the use of an electric wheelchair. In this study, an electric wheelchair with specifications where the wheelchair motion control uses muscles on both arms, so that the electric wheelchair is very suitable for patients with paralysis in the legs and weak hand strength in turning the wheels from the wheelchair. The input of motion control commands is carried out through an electromyograph sensor mounted on the flexor muscle in both patients’ arms. The output of each sensor is given a threshold of 2 volts to distinguish control commands or not. When the sensor output is more than the same as the threshold, it is considered logic one and the other is considered logic zero. The method is used to interpret the output as a control command by impulse detection. The electric wheelchair movement that can be done is forward, turn right, and turn left

Comparison of Neural Network Methods for Classification of Banana Varieties (Musa paradiasaca)

Every region in Indonesia has a very large diversity of banana species, but no system records information about the characteristics of banana varieties. The purpose of this research is to make an encyclopedia of banana types that can be used for learning by classifying banana varieties using banana images. This banana variety classification system uses image processing techniques and artificial neural network methods as classification methods.The varieties of bananas used are pisang merah, pisang pisang mas kirana, pisang klutuk, pisang raja and pisang cavendis. The parameters used are color features (Red, Green, and Blue) and shape features (area, perimeter, diameter, and length of fruit). The intelligent system used is the Backpropagation method and the Radial Basis Function Neural Network. The results showed that both methods were able to classify banana varieties with an accuracy rate of 98% for Backpropagation and 100% for the Radial Basis Function Neural Network

Penerapan Neural Network untuk Klasifkasi Kerusakan Mutu Tomat

The decrease in quality and productivity of tomatoes is caused by high rainfall, bad weather and cultivation so that the tomatoes become rotten, cracked, and spotting occurs. The government is trying to provide training to improve the quality of tomatoes for farmers. However, the training was not effective so the researchers helped create a system that was able to educate farmers in the classification of damage to tomato quality. This system serves to facilitate farmers in recognizing tomato damage thereby reducing the risk of crop failure. In this study, the classification method used is backpropagation with 7 input parameters. The input consists of morphological and texture features. The output of this classification system consists of 3 classes are blossom end rot, fruit cracking and fruit spots caused by bacterial specks. The best accuracy level of the system in classifying tomato quality damage in the training process is 89.04% and testing is 81.11%

Application of Feature Selection for Identification of Cucumber Leaf Diseases (Cucumis sativa L.)

According to data from BPS Kabupaten Jember, the amount of cucumber production fluctuated from 2013 to 2017. Some literature also mentions that one of the causes of the amount of cucumber production is disease attacks on these plants. Most of the cucumber plant diseases found in the leaf area such as downy mildew and powdery mildew which are both caused by fungi (fungal diseases). So far, farmers check cucumber plant diseases manually, so there is a lack of accuracy in determining cucumber plant diseases. To help farmers, a computer vision system that is able to identify cucumber diseases automatically will have an impact on the speed and accuracy of handling cucumber plant diseases. This research used 90 training data consisting of 30 healthy leaf data, 30 powdery mildew leaf data and 30 downy mildew leaf data. while for the test data as many as 30 data consisting of 10 data in each class. To get suitable parameters, a feature selection process is carried out on color features and texture features so that suitable parameters are obtained, namely: red color features, texture features consisting of contrast, Inverse Different Moment (IDM) and correlation. The K-Nearest Neighbor classification method is able to classify diseases on cucumber leaves (Cucumis sativa L.) with a training accuracy of 90% and a test accuracy of 76.67% using a variation of the value of K = 7.

PENGENALAN HURUF LATIN PADA ANAK USIA DINI DENGAN PENERAPAN METODE BACKPROPAGATION

Early childhood has difficulty remembering Latin letters or Roman characters than adults. Some of the factors that cause it are cognitive development, motivation, interest in learning, emotions and environmental factors. To overcome this, an innovative media is needed so that children can easily remember Latin letters. One of the innovative media applies digital image processing techniques and artificial intelligence. The fonts used are 10 types of letter models with image processing techniques such as preprocessing, binaryization, pixel mapping and creating vector as feature extraction.  While the artificial intelligence used is the backpropagation method. The total data is 208 letter images with 625 input features with 500 epochs, the best learning rate used by the system is 0.025 so that the best training accuracy is 93.96% and testing accuracy is 92.31%

PENERAPAN ANALYTICAL HIERARCHY PROCESS UNTUK PEMILIHAN PAKET WEDDING ORGANIZER DI KABUPATEN JEMBER

Persiapan pernikahan sering ditangani oleh jasa wedding organizer dan permasalahan yang terjadi adalah ketersediaan dana yang dimiliki oleh client sehingga akan mempengaruhi pemilihan paket pernikahan, lokasi dan tema pernikahan. Selama ini penyesuaian dana dan kebutuhan pernikahan dilakukan secara manual sehingga membuang waktu, tenaga dan kurang efisien bagi penyedia jasa wedding organizer. Untuk menyelesaikan permasalah tersebut maka dibuatlah sebuah sistem pen-dukung keputusan untuk pemilihan paket pernikahan pada Wedding Organizer di Kabupaten Jember dengan metode Analyti-cal Hierarchy Process (AHP). Berdasarkan hasil perhitungan, didapatkan bahwa kriteria dana memiliki bobot prioritas terbesar bila dibandingkan kriteria tamu undangan, lokasi pernikahan, tema pernikahan dan catering pernikahan. Bobot prioritas dari kriteria dana sebesar 0.335, kemudian kriteria dana tersebut dibandingkan dengan kriteria pemilihan paket wedding organizer. Hasil perhitungan dengan metode AHP didapatkan bahwa bobot prioritas terbesar pada kriteria Paket E Menengah yaitu 0.203, maka paket pernikahan yang direkomendasikan adalah Paket E Menengah dengan nilai consistency ratio (CR) sebesar 0.098