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Ni Made Satvika Iswari
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satvika@umn.ac.id
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Jurnal ULTIMA Computing
ISSN : 23553286     EISSN : 25494007     DOI : -
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.
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Articles 9 Documents
Search results for , issue "Vol 12 No 1 (2020): Ultima Computing : Jurnal Sistem Komputer" : 9 Documents clear
Rancang Bangun Perangkat Belajar Braille Elektronik Berbasis Raspberry Pi Hidayat hidayat; Muhammad Yusuf
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 (821.017 KB) | DOI: 10.31937/sk.v12i1.1541

Abstract

The aim of the present research was to design and implement a braille electronic learning device for helping children who are blind in studying. The method used was an experimental method that includes the study of literature, the design process, the process of implementing tool manufacturing and also functional testing. This is made easier for blind people to learn to arrange words, translate words. The system designed consists of the Raspberry Pi as the main data processor, six push-buttons as input for braille codes, five push-buttons as control buttons, external MMC memory as a storage place for the operating system documents used by Raspberry Pi and also as a storage place for digital information such as applications that are made and also voices and the speaker functions as voice output, and also the LCD functions to display letters or numbers entered by users, it is only intended for teachers or instructors who can see when accompanying blind students. The overall system test results produce the expected output, which can speak words or numbers and translate words in two languages (Bahasa-English) correctly.
Implementasi Kanopi Otomatis untuk Kenyamanan Termal Jason Adrian Mahalim; Filipus Samuel; Filbert Wijaya; Muhamad Aliefian Rahmatulloh
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 (601.173 KB) | DOI: 10.31937/sk.v12i1.1605

Abstract

Aktivitas manusia tidak akan pernah terlepas dari kegiatan luar ruangan. Namun karena pengaruh cuaca, aktivitas tersebut bisa terganggu seketika. Atas masalah tersebut, kami membuat proyek berupa kanopi otomatis yang bisa mendeteksi cuaca dan intensitas cahaya. Mikrokontroler yang digunakan pada proyek ini adalah Arduino Uno. Untuk mendeteksi intensitas cahaya matahari, sensor yang digunakan adalah Light Intensity Sensor, dan sensor yang digunakan untuk mendeteksi kondisi cuaca adalah sensor hujan. Tujuan dibuatnya proyek ini adalah untuk meningkatkan kenyamanan termal yang dimiliki oleh setiap orang ketika beraktivitas di luar ruangan. Kata Kunci : Kanopi, Arduino, Kenyamanan Termal
Sistem Pendeteksi Pencemaran Udara Portabel Menggunakan Sensor MQ-7 dan MQ-135 Arida Amalia Rosa; Bryan Alexis Simon; Kevin Sherdy Lieanto
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 (763.758 KB) | DOI: 10.31937/sk.v12i1.1611

Abstract

Keterbatasan indera penciuman manusia mendeteksi keberadaan gas gas yang tidak terlihat dapat membahayakan kesehatan. Oleh sebab itu, diperlukan suatu alat pendekteksi dalam pencemaran udara, sehingga menjadi acuan guna untuk mengetahui tingkat pencemaran udara tersebut. Untuk mendeteksi kadar polusi udara menggunakan sensor gas MQ-7 yang peka terhadap gas karbon monoksida, stabil dan berumur panjang, dan sensor gas MQ-135 yang dapat digunakan untuk menentukan kadar konsentrasi gas amonia, bensol, alkohol. Dan untuk tampilan menggunakan LCD yang sebelumnya di proses oleh mikrokontroler Arduino nano.
Penggunaan Keran Air Otomatis dalam Penghematan Air Antonius Rildo Pramudya; Alfeto Alfeto; Chaterine Cristianti
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 (630.923 KB) | DOI: 10.31937/sk.v12i1.1612

Abstract

Water is an important source for human life. Nowadays, clean water has begun to be rare and therefore it is necessary to conserve water. In this study we made an automatic water faucet to fill the container. The use of this automatic tap aims to stop the water flow when the filled container reaches the desired height. The tools used are Arduino uno, ultrasonic sensors, solenoid valves, and potentials. Before use the appliance must be calibrated first before being used daily. However, in an automatic water faucet experiment it will only stop based on the height set by us. Index Terms : Water faucet, ultrasonic sensor, arduino uno, solenoid valve.
Passive Keyless Entry Locking Door With ESP32 Arya Wibisono; MB Nugraha
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 (445.482 KB) | DOI: 10.31937/sk.v12i1.1613

Abstract

in this modern era, technology is increasingly sophisticated and can be used by anyone, for example, is a lock that can be bought by anyone and is easy to learn. Therefore, the physical key is getting old and easy to be broken by anyone. By implementing a passive keyless entry system that has been applied to today's cars, adding to the safety and comfort of the car user. we try to apply the system to ESP32 and make digital keys in this research still lacking in card security systems using digital signature algorithms, passive keyless entry systems run as expected by using RFID as input identifier from the UID of each RFID card which is proven to be unique and easy to use.
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.

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