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Prakiraan Waktu Pelaksanaan Shutdown Maintenance di Kilang CDU V Balikpapan-Pertamina RU V Ain Sahara; Adhi Susanto; Indah Susanti
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 2: Mei 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

Refinery Crude Destilation Unit (CDU) V is part of the refinery. Distillation is a crude oil refinery processing crude oil into products which are often used in everyday life, such as gasoline, solar, kerosene, gas, and so. CDU is a distillation refinery process of crude oil by separating crude oil based on boiling points owned by each crude oil. The processing involves a wide range of controls and control instruments must have a reliable performance working process. The support of the implementation should be performed are often referred to the implementation of the shutdown maintenance within a specified period. In this study is the prediction time shutdown maintenance by using Reliasoft Software Weibull++ Version 7 with Weibull distribution function and linear regretion analysis. This using of this soft result of the most accurate rescheduling time to the implementation of the shutdown maintenance in revinery CDU V. The final result, shows that the shutdown maintenance should be done in once in 10 month. The result is expected to increase the optimal working performance of the tools of the company and finaly resulting the expected production outcome.
Pengaruh Sri Sultan Hamengku Buwono I pada Seni Karawitan Kraton Yogyakarta -, Raharja; Haryono, Timbul; Soedarsono, R.M.; Susanto, Adhi
Resital: Jurnal Seni Pertunjukan Vol 15, No 1 (2014): Juni 2014
Publisher : Institut Seni Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24821/resital.v15i1.799

Abstract

Gamelan sebagai alat musik atau karawitan sebagai produk musikal dari Kraton Yogyakartamempunyai beberapa karakter yang sangat khas. Karawitan masih dipergunakan sebagai suatu identitasdan diakui oleh masyarakat hingga saat ini. Pengembangan musikal ini bermula dari Sri SultanHamengku Buwono I. Ada dua alasan penting yang mendorong gagasan penciptaan karaktergamelan. Pertama, konsepsi kedudukan raja telah mendudukkan gamelan sebagai salah satu pusakapenting. Kedua, kepribadian Sultan yang maskulin, heroik, dan patriotik menjadi model pengembangan,memberi ciri khas pada masing-masing ricikan gamelan dan musikalitasnya. Gamelan KratonYogyakarta mempunyai kesan rasa musikal: agung, gagah, tegas, mantap, berwibawa, mrabu (sepertiraja), dan ngratoni (seperti suasana di kraton). The Effect of Sri Sultan Hamengku Buwono I on Kraton Yogyakarta Karawitan. Gamelan asmusical instrument or karawitan as a musical product of Kraton Yogyakarta has some specific characters. Itis still used as an identity and is recognized by karawitan society until now. This musical development wasfirstly introduced by Sri Sultan Hamengku Buwono I. There are two important reasons which stimulatethe ideas of creating gamelan characters. First, the king’s authority conception puts the gamelan as one ofthe important heirloom. Second, Sultan’s personalities which are masculine, heroic, and patriotic becomethe influencing model of its development, and give some specific characters on each gamelan instrument andits musicality as well. Kraton Yogyakarta gamelan has many musical rasa(s)/feelings: glorious, strong, clear,steady, prestigious, ‘mrabu’ (like a king), and ‘ngratoni’ (such an atmosphere of Kraton).
RANCANG BANGUN PURWARUPA KLASIFIKASI WARNA OBJEK MENGGUNAKAN ROBOT LENGAN 4-DOF Sejati, Prima Asmara; Susanto, Adhi; Suwastono, Addin
JST (Jurnal Sains dan Teknologi) Vol. 6 No. 2 (2017)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (800.005 KB) | DOI: 10.23887/jstundiksha.v6i2.11810

Abstract

Robot lengan merupakan salah satu aplikasi robotika yang telah banyak diterapkan di dunia industri. Penelitian ini menerapkan salah satu aplikasi dari robot lengan 4-DOF dengan gripper end effectornya. Robot ini berfungsi sebagai pengklasifikasi objek berdasarkan warna objek secara otomatis. Secara keseluruhan, sistem otomasi ini terdiri dari robot lengan, konveyor statis, dan wadah sesuai warna (merah, biru, hijau, dan hitam). Sistem ini terdiri dari sensor warna RGB satu pixel, mikrokontroller sebagai prosessor, dan 6 buah servo sebagai aktuator. Sensor RGB berfungsi sebagai masukan yang diproses melalui mikrokontroler dan dilakukan perhitungan jumlah objek berdasarkan warna. Untuk penentuan posisi target peletakan objek digunakan metode pemetaan arena. Posisi ini dapat diatur secara manual dan kemudian disimpan di memori mikrokontroler sebagai acuan aksi robot lengan. Hasil penelitian ini menunjukkan bahwa robot lengan dapat mendeteksi dan mengklasifikasi objek berwarna merah dengan waktu 10 detik, hijau 8,9 detik, biru 8 detik, dan hitam 9,9 detik.
METODE KALIBRASI SENSOR RATE-GYROSCOPE UNTUK IMU ROKET [CALIBRATION METHOD OF RATE-GYROSCOPE SENSOR FOR IMU ROCKET] Wahyudi; Susanto, Adhi; Widada, Wahyu; Hadi, Sasongko Pramono
Indonesian Journal of Aerospace Vol. 10 No. 2 Desember (2012): Jurnal Teknologi Dirgantara
Publisher : BRIN Publishing

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Abstract

Rate-gyroscope sensor is used in the IMU to measure the rotation angle in three axes. The output of rate-gyroscope sensor is a voltage which is the angular rate, so to obtain the angle used once an integral process. The integral result of rate-gyroscope sensor depend on sampling time or the cycle time of program to get the datum, so the integral calculation depends on the processor speed of microcontroller (computer). Using of the different sampling time will affect the integral result or in other words we can say that for the same program, if we apply it to a different microcontroller, we will obtain the different calculation. This paper presents the calibration method for determining the calibration factor on the rate-gyroscope sensor, so we will get the actual angle value. The rate-gyroscope sensors on different axes have different characteristics, so each sensor needs to be calibrated. In the experiment results, the calibration factors in three axes are different in both for the clockwise rotation and counterclockwise rotation.
ALGORITMA DETEKSI SUDUT AZIMUT DAN ELEVASI ROKET MENGGUNAKAN SEMBILAN ANTENA ARRAY YAGI-UDA Zain, Satria Gunawan; Susanto, Adhi; Widodo, Thomas Sri; Widada, Wahyu
Indonesian Journal of Aerospace Vol. 9 No. 1 Juni (2011): Jurnal Teknologi Dirgantara
Publisher : BRIN Publishing

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Abstract

Radiation pattern of Yagi-Uda antenna is elliptical. This pattern can be used as a detector for the direction of the source of a radio emission. A total of nine Yagi-Uda antennas fitted with a 3x3 configuration. With this configuration, the measurement range for azimuth and elevation angles can reach 80º. The simulation was performed by using an antenna radiation pattern data. The number of antennas used for this simulation is nine. Then the data is merged into a 3x3 antenna configuration data. Based on data from nine antenna radiation patterns, the algorithm for the estimation of azimuth and elevation angles can be applied. Simulation results show that the measurement error of the signal without noise is close to zero. The algorithm used in this simulation can be applied to noise below 25%.
PENERAPAN LOW PASS FILTER UNTUK MEMPERBAIKI HASIL ESTIMASI SUDUT PADA SISTEM RADIO TRACKING ROKET Zain, Satria Gunawan; Susanto, Adhi; Widodo, Thomas Sri; Kliwati, Sri; Widada, Wahyu
Indonesian Journal of Aerospace Vol. 8 No. 1 Juni (2010): Jurnal Teknologi Dirgantara
Publisher : BRIN Publishing

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Abstract

Radio tracking system can be applied to track the position of a rocket and is potential to be developed to replace the GPS technology. This system is used to estimate the direction angle (azimuth and elevation) of transmitter source. In measurement and trial there are many noises that cause the results of angle estimation are not accurate. These noises can be obsreved from the value of the angle estimation varied for a fixed measurement point. This is caused by the interference on the received sinyal. This paper discusses the application of low pass filter to eliminate noises in the radio receiver system. Experiment results show that the variation of estimates angle becomes 1600 times smaller compared to the one without filter
Neural Network Classification of Brainwave Alpha Signalsin Cognitive Activities Azhari, Ahmad; Susanto, Adhi; Pranolo, Andri; Mao, Yingchi
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

The signal produced by human brain waves is one unique feature. Signals carry information and are represented in electrical signals generated from the brain in a typical waveform. Human brain wave activity will always be active even when sleeping. Brain waves will produce different characteristics in different individuals. Physical and behavioral characteristics can be identified from patterns of brain wave activity. This study aims to distinguish signals from each individual based on the characteristics of alpha signals from brain waves produced. Brain wave signals are generated by giving several mental perception tasks measured using an Electroencephalogram (EEG). To get different features, EEG signals are extracted using first-order extraction and are classified using the Neural Network method. The results of this study are typical of the five first-order features used, namely average, standard deviation, skewness, kurtosis, and entropy. The results of pattern recognition training show that 171 successful iterations are carried out with a period of execution of 6 seconds. Performance tests are performed using the Mean Squared Error (MSE) function. The results of the performance tests that were successfully obtained in the pattern test are in the number 0.000994.
SIMULASI FILTER KALMAN UNTUK ESTIMASI SUDUT DENGAN MENGGUNAKAN SENSOR GYROSCOPE Wahyudi Wahyudi; Adhi Susanto; Sasongko Pramono H; Wahyu Widada
TEKNIK Vol 30, No 2 (2009)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.948 KB) | DOI: 10.14710/teknik.v30i2.1871

Abstract

The Kalman filter is a recursive solution to the process linear filtering problem that can remove the noisefrom signal and then the information can useful. The process that use Kalman filter must be approximatedas two equations of linear system, state equation and output equation. Computation of Kalman filter isminimizes the mean of the square error. This paper explore the basic consepts of the Kalman filteralgorithm and simulate its to filter data of gyroscope to get a rotation. The measurement noise covariancedetermines how much information from the sample is used. If measurement noise covariance is high showthat the measurement isn’t very accurate. The process noise covariance contributes to the overalluncertainty of the estimate as it is added to the error covariance matrix in each time step. If the errorcovariance matrix is small the Kalman filter incorporates a lot less of the measurement into estimate ofrotation.