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Jurnal ULTIMA Computing
Published by Universitas Multimedia Nusantara
ISSN : 23553286     EISSN : 25494007     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering
urnal ULTIMA Computing merupakan Jurnal Program Studi Sistem Komputer Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang Sistem Komputer serta isu-isu teoritis dan praktis yang terkini, mencakup komputasi, organisasi dan arsitektur komputer, programming, embedded system, sistem operasi, jaringan dan internet, integrasi sistem, serta topik lainnya di bidang Sistem Komputer. Jurnal ULTIMA Computing terbit secara berkala dua kali dalam setahun(Juni dan Desember) dan dikelola oleh Program Studi Sistem Komputer Universitas Multimedia Nusantara bekerjasama dengan UMN Press.
Arjuna Subject : -
Articles 150 Documents
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Analisis Keefektifan Penggunaan Filter FIR dan IIR pada Sinyal Pernapasan EMGdi dengan Simulasi MATLAB Christopher Leonard; Nabila Husna Shabrina
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1001.444 KB) | DOI: 10.31937/sk.v12i1.1618

Abstract

Medical instrumentations are used to retrieve and record signal data in the patient’s body such as respiratory signals. The data from the respiratory signal is able to diagnose the patient’s respiratory health. Unfortunately, in retrieving signal data, there are noises that interfere with the required signal information. In this article, the signal input will be filtered with two types of filter (FIR filter with window method and IIR filter with pole-zero placement method or bilinear transformation method) and compared their effectiveness to reduce or eliminate the noise signal. Both filters have a cut-off frequency of 50 Hz. The outputsignal shows that the noise ECG signal is more effective to be eliminated with an IIR filter because of its characteristic filter. Therefore, the IIR filter is morerecommended being used in medical instrumentation for its effectiveness and minimum hardware required.
Pengaplikasian Face Recognition 3 Dimensi Untuk Keamanan Jason Adrian Mahalim; Muhamad Aliefian Rahmatulloh; Muhamad Rizky Febrianto; Nabila Husna Shabrina
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (749.639 KB) | DOI: 10.31937/sk.v12i1.1620

Abstract

Face recognition is one of the biometric categories which uses face as the identifier. Currently, there are two versions of face recognition, 2 dimensional and 3 dimensional. This research uses 3 dimensional face recognition, and the goal for this research is for comparing the accuracy between 2 dimensional and 3 dimensional face recognition, analyze the performance of 3 dimensional face recognition, and applying 3dimensional face recognition for security measure, namely for automatic door lock using face recognition. Face Alignment Network used as the method for this 3 dimensional face recognition. This research prove that 3 dimensional face recognition have better accuracy than its predecessor, however some weakness is also found in this research, i.e. image resolution, lighting of the photo, angle of the face when the photo taken will govern the accuracy of the 3 dimensional face recognition and 3 dimensional face recognition can’t differentiatebetween twins brother faces.Key word : Face recognition, accuracy
Analisis Aplikasi Filter FIR dan Filter IIR dalam Pra-pemrosesan Sinyal Elektroensefalografi Caroline Caroline; Nabila Husna Shabrina; Melania Regina Ao; Nadya Laurencya; Vanessa Lee
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1098.658 KB) | DOI: 10.31937/sk.v12i1.1621

Abstract

Abstract – Electroencephalography (EEG) is a method used to analyze brain activities, detect abnormalities in brain, and diagnose brain-related disease. To extract information from EEG signal, preprocessing steps such as Fast Fourier Transform (FFT), filter, and wavelet decomposition will be needed. This paper primarily focuses on implementation of Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filter design in EEG signal preprocessing in MATLAB software. The result of the simulation indicates that each filter design implemented in EEG preprocessing has different performance and side effect toward signal processing parameters such as phase distortion, amplitude ratio, and processing time. Filter design type implementation also affect power and entropy calculation result. Keywords – EEG, FIR filter digital, IIR filter digital, Wavelet Decomposition, GUI-MATLAB
Perbandingan Pola Sinyal Penyakit Myocardial Infarction dengan Jantung Normal Menggunakan Metode Wavelet Symlet Markus Aminius Gilbert; Nabila Husna Shabrina; Andre Wijaya; Jeremy Pratama Wijaya
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (897.49 KB) | DOI: 10.31937/sk.v12i1.1631

Abstract

On the signal of healthy human cardiography and people with myocardial infarction contain a lot of noise. For this reason, it is necessary to process the appropriate signal so that the information contained by the signal can be detected easily. Stages of research include data search, pre-processing, signal processing with the denoise Wavelet Symlet method, and qualitative comparison of cardiographic signal patterns resulting from normal human signal processing with myocardial infarction. To eliminate noise on ECG signals, the denoise method using Wavelet Symlet is proven to be better than the Finite Impulse Response (FIR) Hamming Windows filter. MATLAB is one of the software options that can be used in processing cardiographic signals with denoise Wavelet Symlet method, proven to have a fairly high reliability based on qualitative analysis. This trial also proved that the pattern of human cardiographic signals with myocardial infarction disorders was quite random and and differed from one patient to another. However, slower heart rate patterns, greater amplitude, and abnormalities in the P, T signal and stretching Q-S distances can be a reference for diagnosing someone with myocardial infarction.
Analisis Perhitungan Beban Pendinginan Ruang Dhammasala Vihara Padumuttara menggunakan Metode CLTD Ananda Karuna Jaya; Caesar Ondolan Harahap; Rahmi Andarini
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 2 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v12i2.1709

Abstract

Dhammasala room of Padumuttara Temple has an indoor temperature of 28,56oC and relative humidity of 80,6%. According to SNI 03-6572-2001 and a previous literature study, this temperature is outside the thermal comfort zone for tropical climate. Aiming to improve thermal comfort of Dhammasala room with an HVAC system efficiently, the cooling load of the room is analyzed using the Cooling Load Temperature Difference (CLTD) method. The results are also compared with results from other cooling load calculation sofware. The recommended HVAC System for Dhammasala room of Padumuttara Temple is a chiller with a capacity of 30-40TR.
Monitoring System For Decorative Plants Using Arduino Nano Microcontroller Rizky Fitria Haya; Chicha Rizka Gunawan; Fazri Amir
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 2 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v12i2.1742

Abstract

Ornamental plants are used to decorate the room or the yard. In the current technology era where everyone has a high level of activity, it sometimes makes them forgot to pay attention to the ornamental plants in their homes. Therefore, the purpose of establishing this plants monitoring system is to determine the condition of the plant by displaying smile and sad face images on the LCD. This system uses a microcontroller likes Arduino Nano as the main controller and connected to other sensors such as the LDR sensor, soil moisture, and DHT11. The results of this study indicate that the ornamental plant is in good condition if it displays happy face, that is when the results of the lighting, soil moisture, and temperature are obtained accordance the values set in the program. Otherwise, if the system displays a sad face, it shows that the condition of the ornamental plants is not good because of the lack of lighting, soil moisture, and low temperatures received by the ornamental plants. The values set on the soil moisture and lighting sensor are in the range of 50% to 95%, while the values set on the temperature sensor are in the range of 15°C to 35°C.
Studi Pendahuluan Perancangan Desain Tangan Mekatronika Untuk Bedah Umum Jarak Jauh Julando Omar; Jason Kho; Samuel Hutagalung
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 2 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v12i2.1777

Abstract

During the current situation, the availability of surgeons in remote areas is limited. There is a need to be still able to perform general operations without the doctor being physically present in the operating room. This research is a preliminary study of designing a remotely controlled mechatronic hand to perform general surgery. With this design, it is hoped that in the future, the physical presence of doctors will no longer be an obstacle in achieving general surgery in locations that are difficult to reach.
Tahapan Desain dan Implementasi Model Machine Learning untuk Sistem Tertanam Aminuddin Rizal
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 2 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v12i2.1782

Abstract

machine learning and edge computing currently becomes popular technology used in any discipline. Flexibility and adapt to the problem are the main advantages of its technology. In this paper, we explain step-by-step way to make a lightweight machine learning model especially intended for embedded system application. We use open source machine learning tool called as Weka to design the model. Moreover, we performed a simple stress recognition experiment to make our own dataset for evaluation. We evaluate algorithm complexity and accuracy for different well-known classifier such as support vector machine, simple logistic and hoeffding tree.
Metode Estimasi Suhu Minyak pada Transformator Tenaga melalui Pengukuran Suhu Body Berbasis IoT Rizal Alfa Rizki; Dista Yoel Tadeus; Fakhruddin Mangkusasmito; Heru Winarno; Eko Ariyanto
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 2 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v12i2.1783

Abstract

Oil cooled power transformer has important role in the electricity distribution system. Its windings were immersed in oil as an insulating medium and also as a cooler. This oil would be heated up due to several things, the most significant was heat generated by winding’s power loss. The monitoring of oil temperature on the transformer was always done routinely every day to maintain its performance and health condition. IoT based measurements could improved efficiency and minimized manpower resources. To realize this the indirect non-destructive measurement method was proposed to estimate transformator’s temperature oil. It will corellate the oil temperature and body temperature through a constant calibration factor derived from calculations. Conducted experiment applied to specific existing transformator and followed by calculations resulted a calibration factor = 1.7749. The smallest average of estimated temperature error was lied in the range of 40 - 90 degrees Celcius.
Peningkatan Akurasi Sensor GY-521 MPU-6050 dengan Metode Koreksi Faktor Drift Fakhruddin Mangkusasmito; Dista Yoel Tadeus; Heru Winarno; Eko Winarno
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 2 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v12i2.1791

Abstract

GY-521 MPU-6050 Module is a core module MPU-6050, which is a 6 axis Motion Processing Unit. This sensor can be categorized as an Inertial Measurement Unit (IMU) sensor, which utilizes measurement systems such as gyroscopes and accelerometers to estimate the relative position, velocity, and acceleration of an object. A common accuracy problem in using IMU sensors, including the GY-521 MPU-6050, is the drifting phenomenon. This phenomenon results in a deviation between the actual conditions (position, angular velocity) and the sensor readings. Drift is caused by the accumulation of errors that arise from calculating the integral of the acceleration. This study proposes a drift error correction method at the sensor output using the calibration of the calculation of the average offset error sensor and the sensor fusion method between the information obtained from the gyroscope and accelerometer in the module, the tests were carried out using the Arduino Uno microcontroller. From the test results, it is found that the combination of the initial system calibration implementation and the use of the fusion sensor concept can provide better performance with the MSE analysis results for the roll position of 0.0029o and the pitch position of 0.0047o and the drifting error rate at the yaw angle position of 0 0082o / second or down 62.72%.

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