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  Subjects -> ELECTRONICS (Total: 207 journals)
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IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
Number of Followers: 3  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2088-3714 - ISSN (Online) 2460-7681
Published by Universitas Gadjah Mada Homepage  [46 journals]
  • Music Genre Identification Using SVM and MFCC Feature Extraction

    • Authors: Septian Yogi Yehezkiel, Yohanes Suyanto
      Pages: 115 - 122
      Abstract:  Indonesia  is a very diverse country because it has a vast territory and is occupied by millions of people from various tribe. Therefore, traditional music in Indonesia is also diverse because each region has its own culture and art.  In this study, the author used the Support Vector Machine(SVM) pattern recognition  to identify the Indonesian traditional music genre. This genre identification system is able to produce an accuracy of 83% using MFCC.Keywords : traditional music identification, Mel Frequency Cepstral Coefficient, Support Vector Machine.

      PubDate: 2022-10-31
      DOI: 10.22146/ijeis.70898
      Issue No: Vol. 12, No. 2 (2022)
  • Analisis Unjuk Kerja K-Nearest Neighbour untuk Klasifikasi Citra Aksara
           Bali Tulis Tangan

    • Authors: Anastasia Rita Widiarti, Hari Suparwito
      Pages: 123 - 132
      Abstract:  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.
      PubDate: 2022-10-31
      DOI: 10.22146/ijeis.67796
      Issue No: Vol. 12, No. 2 (2022)
  • Penggunaan Pre-trained Model untuk Klasifikasi Kualitas Sekrup

    • Authors: Muhammad Rafif, Diyah Utami Kusumaning Putri, Lukman Awaludin
      Pages: 133 - 144
      Abstract: Inspeksi kualitas produk berbasis citra merupakan hal yang penting bagi industri manufaktur. Tugas tersebut sebagian besar masih dilakukan oleh manusia yang memiliki unit per hour rendah. Metode konvensional untuk inspeksi citra masih mengandalkan metode berbasis fitur, yang memiliki masalah sulitnya generalisasi dan ekstraksi fitur. Masalah tersebut diatasi dengan metode CNN, tetapi CNN membutuhkan data yang besar dan waktu training yang lama. Penggunaan pre-trained model dan augmentasi citra dapat menyelesaikan permasalahan pada metode-metode sebelumnya. Namun, belum ada penelitian yang secara lengkap meneliti dan membandingkan performa berbagai pre-trained model dan variasi augmentasi citra untuk tugas inspeksi citra kualitas produk manufaktur.Proses penelitian menggunakan dataset sekrup berjenis multi class dan binary class pada 33 jenis pre-trained model dan 8 jenis augmentasi citra. Pengujian pre-trained model menggunakan dataset gabungan seluruh jenis augmentasi citra. Model dengan akurasi tertinggi adalah EfficientNetV2-L untuk dataset multi class (97.8%) dan VGG-19 untuk dataset binary class (96.5%). Augmentasi citra dengan signifikansi tertinggi terhadap performa model adalah blur, dengan akurasi 81.1% pada multi class dan 92% pada binary class. Keseluruhan proses pengujian pre-trained model dan augmentasi citra berjalan dengan baik. Kata kunci—Inspeksi kualitas produk, Pre-trained model, Augmentasi citra
      PubDate: 2022-10-31
      DOI: 10.22146/ijeis.78112
      Issue No: Vol. 12, No. 2 (2022)
  • Perancangan dan Pengukuran Topi COVID-19 Reminder dengan Sensor Ultrasonik

    • Authors: Barry Nur Setyanto, Filly Pravitasari, Pramudita Budiastuti, Fanani Arief Ghozali
      Pages: 145 - 156
      Abstract:  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. 
      PubDate: 2022-10-31
      DOI: 10.22146/ijeis.78352
      Issue No: Vol. 12, No. 2 (2022)
  • Vehicle Detection System Using Ultrasonic And Magnetic Fields Sensors
           Based On LoRa Communication

    • Authors: Fakhri Afrizal, Bambang Nurcahyo Prastowo
      Pages: 157 - 168
      Abstract: Nowadays, privately owned vehicles still holds the position as the staple of transportation used by the majority of people, especially in Indonesia. Along with the increasing number of vehicles, its necessary to develop infrastructure that can support its usage. One of them is the development of a parking management system. The current conventional parking system in Indonesia requires users to surround the parking area to find an empty parking space. These activity takes time for the user so it is inefficient. To resolve that problem, it needs a smart parking system that can provide information about empty parking space location directly to the users.This study discusses the design of a vehicle detection system in the implementation of outdoor smart parking. The device that used in this research is the ultrasonic sensor HC-SR04 and the HMC5883L magnetic field sensor for the detection process and uses LoRa RFM95W to communicate with the gateway device. The smart parking system designed is able to detect the presence of car in the parking area and differentiate the car from other objects with a 100% success rate percentage.
      PubDate: 2022-10-31
      DOI: 10.22146/ijeis.71725
      Issue No: Vol. 12, No. 2 (2022)
  • Analisis Photoplethysmography Jarak Jauh dalam berbagai Kondisi

    • Authors: Atar Fuady Babgei, Muhammad Wikan Sasongko, Tri Arief Sardjono
      Pages: 169 - 180
      Abstract: One of the limitations of photoplethysmography (PPG) using a contact sensor to estimate the heart rate is that the sensor must be attached directly to the patient's body. rPPG (remote-Photoplethysmography) can remotely monitor a patient's heart ratebased on an image. However, rPPG  has  limitations  in  instances  where  this  technology  is  directly  affected  by  the  lighting conditions  and  direction  of  the  observed  subject. This  study  used  rPPG  based  on  the  Green Channel and HSV (Hue, Saturation, and Value) color model to estimate heart rate under different lighting  conditions. Analysis,  computational  methods,and  image  transformation  functions  are used for data selection, denoising, colormodel conversion, spectral analysis, and visualization to  extract  biomedical  signals from  inputs. The  estimatedheart  rate was then derivedusing spectral  analysis  on videostaken  from  an  area  of  interest  on  the  forehead. Compared  to  the ground truth, theaverage percentage error from the facial lighting tests conducted at 260 lux, 19 lux, and 11 lux for the Green Channel color modelis 0.038, 0.118, and 0.229, which is less than the HSV's error of 0.095, 0.212, and 0.247.
      PubDate: 2022-10-31
      DOI: 10.22146/ijeis.78715
      Issue No: Vol. 12, No. 2 (2022)
  • Kendali Stabilisasi Pesawat Tanpa Awak Sayap Tetap untuk Pendaratan
           Otomatis Menggunakan Fuzzy

    • Authors: Muhammad Alfachrozi Savero, Andi Dharmawan
      Pages: 181 - 190
      Abstract: Pesawat tanpa awak sayap tetap atau fixed wing memiliki 3 fase terbang, yaitu lepas landas, terbang jelajah, dan pendaratan. Dalam fase pendaratan dibagi menjadi 2 tahapan yaitu glideslope dan flare. Selama fase pendaratan, kestabilan wahana merupakan hal yang krusial untuk dapat melakukan pendaratan dengan selamat. Sehingga kendali yang digunakan harus mampu menstabilkan pesawat saat melakukan pendaratan.Kendali penstabil pendaratan otomatis yang digunakan pada penelitian ini adalah full-state feedback gain K yang nilainya diperoleh menggunakan metode Linear Quadratic Regulator (LQR) dan logika fuzzy. Nilai gain K yang didapat akan dikonversikan terlebih dahulu menjadi Pulse Width Modulation (PWM) dan akan digunakan sebagai nilai masukkan pada sistem. Sinyal PWM tersebut akan mengendalikan kecepatan putar brushless motor dan sudut defleksi Servo. Ketika memasuki mode auto, wahana akan menjaga kestabilan pada sudut roll dan sudut serang wahana selama memasuki pendaratan otomatis. Nilai sudut acuan roll merupakan 0˚ agar wahana tetap stabil. Berdasarkan penelitian ini, wahana mampu mempertahankan kestabilan pada sumbu roll selama melakukan pendaratan otomatis. Selain itu didapatkan nilai risetime sebesar 0,3 detik serta steady state error sebesar 2,71 derajat dan tidak ditemukannya overshoot
      PubDate: 2022-10-31
      DOI: 10.22146/ijeis.77832
      Issue No: Vol. 12, No. 2 (2022)
  • Smart Farming Untuk Pengaturan Suhu Ruangan Pada Budidaya Jamur Tiram
           Berbasis Backpropagation

    • Authors: Putu Sugiartawan, I Gusti Ngurah Desnanjaya
      Pages: 191 - 202
      Abstract: The 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%.
      PubDate: 2022-10-31
      DOI: 10.22146/ijeis.78546
      Issue No: Vol. 12, No. 2 (2022)
  • Sistem Pemantauan Pertumbuhan Anggrek Berdasarkan Pengolahan Citra Digital

    • Authors: Magnolia Gina Ro'fataka Satriorini, Raden Sumiharto, Roghib Muhammad Hujja
      Pages: 203 - 212
      Abstract: Growth monitoring and plant protectionis the major aspect of horticulture because its productivity depends on the health of the plants. Manual direct measurement methods tend to be destructive  towards  observed  plants. In  this  research,  a  smart  non-contact  growth  monitoring system was implemented on a chamber with orchid plants asthe objectsobserved. The images of  the  orchids  were  taken  and  became  the  input  of  the  system  to  be  processed  to  estimate  the height of the plants.The contour of the orchid plant as the object was obtained and the height was calculated based on the highest and the lowest contour.The result shows that the developed system is proven to be capable of measuring orchid’s height in real-time  with  accuracy  more than  95,7%.  Thus,  this  system will  effectively  help  farmers  to improve  the  quality  and  the quantity of the plant’s productivity.
      PubDate: 2022-10-31
      DOI: 10.22146/ijeis.77893
      Issue No: Vol. 12, No. 2 (2022)
  • Rancang Bangun Sistem Irigasi Otomatis Berbasis RTC Menggunakan Solar

    • Authors: Rindi Wulandari, Nurdiyanto Nurdiyanto, Taryo Taryo, Nunu Nunu
      Pages: 213 - 222
      Abstract: Sinarancang  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 system
      PubDate: 2022-10-31
      DOI: 10.22146/ijeis.78422
      Issue No: Vol. 12, No. 2 (2022)
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