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Rancang Bangun Dongkrak Elektrik Berbasis Pengendali Proportional Integral Derivative (PID asni b, andi; waruni, mayda
Jurnal Teknik Elektro Uniba (JTE Uniba) Vol 1 No 1 (2016): Jurnal Teknik Elektro Uniba (JTE UNIBA)
Publisher : lembaga Penelitian Universitas Balikpapan

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Abstract

Abstract? Proportional Integrator Derivative (PID) controller, which aims to set a variable value with stable and precision in an instrument system using a feedback (closed loop) on the system. RPM readings rotation of DC motor that drives the screw jack to be used as a reference control. After implementing the motor rotation speed control system with PID controller jack using the 3-point setting of 60, 50 and 40 RPM. The measurement results show the average speed of each point setting. When the set point average of 60 RPM rotation speed of the motor jack to 56 RPM with an average of 4 RPM below the set point. When the set point average of 50 RPM rotation speed of the motor jack to 47 RPM with an average of 3 RPM below the set point. And when the set point average of 40 RPM rotation speed of jack motor  to 37 RPM with an average of 3 RPM below the set point 
PENGENALAN INDENTITAS PENUTUR MENGGUNAKAN ALGORITMA DISCRETE WAVELET TRANSFORM (DWT) DAN HIDDEN MARKOV MODELS (HMM) asni b, andi; Patriana s, diah
Jurnal Teknik Elektro Uniba (JTE Uniba) Vol 3 No 1 (2018): Jurnal Teknik Elektro Uniba (JTE UNIBA)
Publisher : lembaga Penelitian Universitas Balikpapan

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Abstract

This study aims to build a speaker recognition system using the Discrete Wavelet Transform (DWT) algorithm and Hidden Markov Models (HMM). Speech signals from each speaker were recorded using Indonesian words "kiri" and recorded 10 times. Five (5) data from the first record were recorded under normal conditions and the next 5 data were sourced from the nasal sounds produced by a pressed nose. The total data from 6 different speakers becomes 60 data The results of the application of the Discrete Wavelet Transform (DWT) algorithm and the Hidden Markov Models (HMM) algorithm and the number of states tested 4 to 7 states, in this study have not provided optimal results. The identification of error rates is quite high, which is equal to 20% for the number of states 4 and 5, and reaches 30% for the number of states 6 and 7. This shows that the feature vector values generated from the DWT algorithm and then modeled and tested using the HMM algorithm has not optimal results yet. Further evaluation is needed to examine the opportunities of other algorithms that can be applied in DWT and to achieve high recognition accuracy
PENGENALAN DAN PEMANFAATAN SECARA BIJAK TEKNOLOGI INFORMASI DAN KOMUNIKASI BAGI SISWA SEKOLAH DASAR DI WILAYAH BARU ULU asni b, andi
Jurnal Teknik Elektro Uniba (JTE Uniba) Vol 3 No 1 (2018): Jurnal Teknik Elektro Uniba (JTE UNIBA)
Publisher : lembaga Penelitian Universitas Balikpapan

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Abstract

Pelatihan dan evaluasi yang diberikan, memberi data kepada masyarakat bahwa sebahagianbesar siswa di tingkat sekolah dasar mampu mengoperasikan smartphone dengan baik,namun kurang pengetahuan tentang alat yang mereka operasikan. Kegiatan dilaksanakan di 4sekolah dasar negeri yang berada di Kelurahan Baru Ulu Balikpapan Barat, Kota Balikpapan,adapun jumlah partisipan/siswa yang menjadi peserta pelatihan 227 siswa yang duduk dikelas enam. Hasil kegiatan pelatihan dan sosialisasi memberikan data bahwa, sebelumkegiatan dilaksanakan hanya terdapat kurang dari 5 % jumlah siswa kelas 6 tingkat sekolahdasar yang memiliki pengetahuan lebih tentang teknologi informasi. Setelah kegiatandiperoleh nilai hasil evaluasi di atas 75% jumlah siswa yang mampu menyerap danmenjelaskan kembali tentang materi yang diberikan.
Evaluasi Penyetelan Relai Arus Lebih dan Relai Ganguan Tanah Pada Penyulang J.3 gardu Karang Joang Balikpapan asni b, andi; Saleh, Muh Kayin; Sugeng, Bambang
Jurnal Teknik Elektro Uniba (JTE Uniba) Vol 1 No 2 (2017): Jurnal Teknik Elektro Uniba (JTE UNIBA)
Publisher : lembaga Penelitian Universitas Balikpapan

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Abstract

Abstract-Medium voltage network is one of the distribution ofelectricity from generators to the consumer. The voltage will beseparated to each feeder for its distribution. If the rate of consumerneeds is higher, PLN demanded to add new feeder. Electric powerdistribution requires reliability in maintaining the distributionequipment from fault, including short circuit. So, to minimize thefault, protection system that meets the requirements of sensitivity,reliability, selectivity and speed, which is all depends on theprecision in setting protection equipment One of the protectivedevices that used in medium voltage network is an over currentrelay (OCR) and ground fault relay(GFR). This research discussesevaluation between the OCR and GFR setting, at the J.3 in KarangJoang substation. The comparisonresult between calculation andattached data in Karang Joang substation almost same. Thecalculation from OCR setting in incoming side acquired TMS =0,1955. Meanwhile the OCR setting in outgoing side acquired TMS=0,1294. GFR setting in incoming side acquired TMS 0,2807.Meanwhile GFR setting in outgoing side acquired TMS = 0,1102.This result showed that attached setting in Karang Joang Substationstill considered in good condition.
Identifikasi Wajah Dengan Segmentasi Warna Kulit Menggunakan Metode Viola Jones asni b, andi; Dana, Tamara Octa
Jurnal Teknik Elektro Uniba (JTE Uniba) Vol 4 No 1 (2019): Vol 4 No 1 (2019): JTE UNIBA (Jurnal Teknik Elektro Uniba)
Publisher : lembaga Penelitian Universitas Balikpapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1045.366 KB) | DOI: 10.36277/jteuniba.v4i1.47

Abstract

Abstract - Face detection (face detection) is one of the initial steps that is very important before the face recognition process (face recognition). Face detection is the detection of objects in the form of faces in which there are special features that represent the shape of faces in general. One method of face detection is the Viola Jones method. Viola Jones method is used to detect faces and skin color segmentation, test data processing using Matlab and capture on a Smartphone. The test is carried out at normal light intensity with a predetermined distance and face position. The results of this study indicate the level of accuracy of detection of face image variations in the position of face images facing forward (frontal), sideways left and right 45?. But it has a weakness of this face detection system that is unable to determine faces in images that have faces that are not upright (tilted) or not frontal (facing sideways) at a 90? angle. Face position that is upright / not upright will determine the success of this face detection. The level of identification of the Viola Jones simulation was 100% with 4 images consisting of 3 boys and 1 girl.